What this is
- Polygala oligosaccharide esters (OE) from Polygala tenuifolia are investigated for their effects on memory disorders in mice.
- The study focuses on the , exploring how OE may restore gut microbiota balance and improve cognitive function.
- Methods include behavioral tests, molecular biology techniques, and multi-omics approaches to assess the therapeutic mechanisms of OE.
Essence
- Polygala oligosaccharide esters improve memory function in mice by restoring gut microbiota balance and reducing neuroinflammation through the .
Key takeaways
- OE administration significantly enhanced learning and memory in mice with memory dysfunction, evidenced by improved performance in the Morris water maze.
- OE treatment restored the balance of gut microbiota, particularly increasing Firmicutes and Ligilactobacillus, which are associated with cognitive health.
- The study identified 17 key lipid metabolites linked to neuroprotective effects, highlighting the role of glycerophospholipid metabolism in OE's therapeutic action.
Caveats
- The specific microbial taxa responsible for the therapeutic effects of OE were not identified, limiting understanding of causality.
- The D-galactose/aluminum chloride model used may not fully replicate the complexities of Alzheimer's disease pathology.
Definitions
- Gut-brain axis: A bidirectional communication pathway between the gut and the brain, influencing physiological and psychological processes.
AI simplified
Introduction
Polygala tenuifolia, a traditional Chinese medicinal plant, is the dried root of Polygala tenuifolia Willd. or Polygala sibirica L. (Chinese Pharmacopoeia) in the Polygalaceae family. It is recorded in the Chinese Pharmacopoeia that it has the effects of calming the nerves, improving intelligence, connecting the heart and kidneys, expelling phlegm, and reducing swelling. It was recorded in “Shennong’s Classic of Materia Medica”. Its main uses are to treat cough and adverse qi symptoms, replenish the nutrients needed by the body, expel pathogenic factors in the body, ensure the unobstructed flow of the nine orifices, enhance wisdom, make hearing and vision sharper, strengthen memory, improve willpower, and double physical strength. Its main chemical components include saponins, xanthones, and polygala oligosaccharide esters. Modern pharmacological studies have shown that these components have pharmacological effects such as significantly improving learning and memory [1], cognitive function [2], antidepressant effects [3], and anti-inflammatory effects [4]. The effective active component of Polygala tenuifolia, polygala oligosaccharide ester, has been proven to have obvious pharmacological activities such as neuroprotective effects and improvement of memory [5–8]. Moreover, in the classic prescriptions of Polygala tenuifolia, such as Polygala Powder and Dingzhi Xiaowan, it has been found that the components entering the blood all contain polygala oligosaccharide esters, indicating that polygala oligosaccharide esters have obvious pharmacological activities.
MD is a clinical symptom related to multiple diseases, including Alzheimer's disease (AD), cerebral infarction, vascular dementia, post-traumatic stress disorder (PTSD), and neurodegenerative diseases (NDD). Neural disorders are associated with high mortality rates and may result in irreversible neurological deficits. Recent epidemiological studies indicate that the prevalence of cognitive impairment among adults aged 60 years and older in China is approximately 15.5%, with this proportion exhibiting an age-dependent increase. [9]. Memory impairment is closely related to oxidative stress, neuroinflammation, autophagy, mitochondrial dysfunction, apoptosis, and the release and transmission of neurotransmitters and neuroinflammatory factors [10].
Studies have shown that the gut microbiota can conduct dynamic two-way communication through the "gut-brain" axis to regulate the development and function of the immune system, metabolism, and the nervous system [11]. The disorder of the "gut-brain-microbiota" axis may be an important factor in the pathogenesis of neurodegenerative diseases. Changes in the composition of the gut microbiota will lead to an increase in the permeability of the gut barrier and immune activation, which will then trigger a systemic inflammatory response, subsequently damage the blood–brain barrier, cause neuroinflammation, neuron damage, and finally lead to neurodegeneration [12].
In addition, lipids are one of the major components of the cell's bilayer membrane structure and also the first target for diseases to attack nerve cells. Lipid imbalance is closely associated with the occurrence and development of neurodegenerative diseases such as Alzheimer's disease and Parkinson's disease Lipidomics [7, 13, 14], an emerging tool, is used for a comprehensive analysis of all lipid components in biological systems. It can more effectively assist researchers in gaining a deeper understanding of the pathogenesis and therapeutic mechanisms of neurodegenerative diseases, including memory impairment (MD) [10, 15]. Therefore, conducting lipidomic studies on the potential occurrence and development processes of Alzheimer's disease (AD) is beneficial for the early diagnosis of the disease, the elucidation of the pathological mechanisms, and the identification of the drug action targets.
In order to further explore the impact of polygala oligosaccharide ester (OE) on memory impairment, in this study, a memory impairment model induced by D-galactose and aluminum chloride was established in mice. Using 16S rDNA technology, we clarified the role played by microbial metabolites in the process of the extract improving memory impairment. We used lipidomics to explore the impact of memory impairment on the lipid profile. Subsequently, based on the "gut-brain axis" theory, we explored the mechanism of action of the extract in improving memory impairment.
Materials and methods
Preparation of OE
Polygala, collected from Xinjiang, Shanxi (20210915), was stored in the Modern Chinese Medicine Engineering Laboratory of Shanxi University of Chinese Medicine. The roots were identified as Polygala tenuifolia Willd. by Lecturer Tan Jinyan from Shanxi University of Chinese Medicine. The roots were pulverized into coarse powder and extracted with a 60% ethanol solution at a tenfold volume, with each extraction lasting 2 h. The extracts were filtered, and the solutions were combined. After solvent recovery and vacuum concentration, the concentrate was centrifuged, and the supernatant was adsorbed on D101 macroporous resin and eluted with a 30% ethanol solution. After the loading process was completed, the adsorption was allowed to stand for 1 h before being washed with water at a flow rate of 3 BV/h to remove impurities. After washing, the resin was eluted with a 30% ethanol solution at a flow rate of 3 BV/h. The eluate was collected, the solvent was recovered, and the solution was concentrated under reduced pressure to dryness to obtain the dry powder of OE, which was stored in a desiccator for future use [16].
The chemical components of OE were analyzed qualitatively using UPLC-Q-TOF-MS/MS with an AB SCIEX system (USA). The instrument parameters, chromatographic, and mass spectrometric conditions were as follows. The chromatographic column used was an ACQUITY UPLC BEH C18 (2.1 mm × 100 mm, 1.7 μm) (Waters Associates, Mass, USA), with a flow rate of 0.3 mL/min, an injection volume of 2 μL, and a column temperature of 40 °C. The mobile phase consisted of acetonitrile and 0.1% formic acid aqueous solution, with a gradient elution program as follows: 0–2 min, 5% A; 2–5 min, 5%–10% A; 5–10 min, 10%–30% A; 10–13 min, 30%–60% A; 13–15 min, 60% A; 15–19 min, 60%–100% A; 19–21 min, 100%–5% A; 21–25 min, 5% A. For ESI mass spectrometry in positive and negative ion modes, the conditions were as follows: in positive ion mode, the spray voltage was 3.2 kV, the sheath gas flow rate was 40 arb, the auxiliary gas flow rate was 5 arb, and the auxiliary gas heating temperature was 350 °C; in negative ion mode, the spray voltage was 2.5 kV, the sheath gas flow rate was 38 arb, the auxiliary gas flow rate was 10 arb, and the auxiliary gas heating temperature was 300 °C. The ion transfer tube temperature was set to 320 °C, and the lens voltage (S-Lens RF level) was 50 V. For full scan/dependent data secondary scanning (full MS/dd-MS2), the scan range was m/z 120–1500, with a primary mass resolution of 70,000 FWHM and a secondary resolution of 17,500 FWHM. A collision energy of 30 eV was used. By searching databases such as CNKI, SciFinder, PubMed, and the OE chemical component library, a comprehensive OE chemical component library was established. This library included key information such as compound names, molecular formulas, and relative molecular masses. The precise molecular mass, relative retention time (tR), quasi-molecular ion peaks, and secondary fragment ions provided by Xcalibur 3.0 were compared with the compound information in the reference database to identify the chemical components in OE.
Animal
SPF-grade male KM mice, 60 in total, 4 weeks old, with a body weight of (20 ± 2) g, were purchased from SPF Biotechnology Co., Ltd. (Beijing, China) (Certificate No.: 110324220103859763, License No.: 20103859763, SCXK (Beijing) 2019–0010). The mice were housed under standard laboratory conditions with a 12-h light/dark cycle and had free access to food and water. All experimental protocols adhered to the Guide for the Care and Use of Laboratory Animals (8th edition). The study was approved by the Animal Ethics Committee of Shanxi University of Chinese Medicine (Approval No.: 2022DW264).
Animal experimentation
Before the start of the experiment, the mice were allowed to acclimate to their living environment for 1 week and were then divided into 6 groups (n = 10) based on body weight. Except for the control group, the mice in the other groups were intraperitoneally injected with D-galactose (120 mg/kg) (Batch No.: bcl-2, C13665374, purity 98%, Shanghai Meilin Biochemical Technology Co., Ltd., China) and administered aluminum chloride (20 mg/kg) (Batch No.: 20220820, purity 97%, Komio Chemical Reagent Factory, Tianjin, China) by gavage for 60 consecutive days. Starting from the 30th day, the OE group mice received different doses of OE by gavage (low dose: 28.80 mg/kg, medium dose: 57.60 mg/kg, high dose: 115.20 mg/kg, once daily) [17], while the piracetam group received a suspension of piracetam tablets (T19C018, 0.4 g, Minsheng Pharmaceutical Co., Ltd., Hangzhou, China) by gavage (0.96 g/kg, once daily). The model group received physiological saline by gavage (same volume as OE, once daily) for 30 consecutive days. The doses of OE and piracetam were calculated based on the conversion ratio of surface area between humans and mice, which is 12:1.
Behavioral science
Cognitive function assessment was conducted using the Tai Ming Behavioral Analysis System (TM-Vision) (Chengdu, China). The Morris water maze (MWM) test was employed to assess learning and memory abilities, with behavioral experiments conducted within 30 min after model construction.
In the MWM experiment, a circular swimming apparatus (120 cm × 60 cm) was used. The water temperature was maintained at 20 ± 2 °C, and a transparent circular platform with a diameter of 15 cm was placed in the second quadrant. Warm water was added to the pool until it was 1 cm above the platform.
For the spatial navigation experiment, the mice in each group were administered the drug 30 min before the experiment and placed at a fixed position in the test pool to acclimate to the environment. The mice were then placed face-down in the pool at the starting position and released into the water in the order of quadrants 1 → 3 → 4, with each quadrant exploration time set to 90 s.
The parameters analyzed included escape latency. After 4 days of continuous training, the platform was removed on the fifth day for the spatial exploration experiment. The mice in each group were placed into the pool from the fourth diagonal quadrant, and their behavior was observed for 90 s. The software automatically recorded the movement trajectories of the mice, the number of entries into the original platform location, and the duration of stay.
A comprehensive analysis and evaluation of the spatial learning and memory abilities of the mice were conducted through the spatial navigation and spatial exploration experiments [18].
Histopathological observation of brain and colon tissues
After the behavioral tests, three mice from each group were anesthetized with isoflurane (batch number: 1) using a small animal anesthesia machine (batch number: R510-22-10; R500, Reward Life Technology Co., Ltd., Shenzhen, China) and underwent cardiac perfusion. The brain and colon tissues were fixed in a 4% paraformaldehyde solution, embedded in paraffin, and sectioned. Nissl staining (batch number: G1032, Wuhan Saivier Service Biotechnology Co., Ltd., China) was used for brain tissue examination, and hematoxylin and eosin (H&E) staining (batch number: G1005, Wuhan Saivier Service Biotechnology Co., Ltd., China) was used for colon tissue observation.
Determination of TMAO, CREB, and BDNF expression in serum
Blood samples from each group (n = 6) were allowed to stand at room temperature for 30 min, followed by centrifugation at 3500 rpm for 15 min to obtain the supernatant. Trimethylamine N-oxide (TMAO, batch number: F30661↗-A), cAMP response element-binding protein (CREB, batch number: F2781-A), and brain-derived neurotrophic factor (BDNF, batch number: F2204-A, FANKEWEI Biotech Co. Ltd., Shanghai, China) were quantified using enzyme-linked immunosorbent assay (ELISA). A standard curve was established using a MULTISKAN FC microplate reader (Thermo Fisher Scientific Inc., Shanghai, USA) to calculate the levels of TMAO, CREB, and BDNF in the mouse serum.
Determination of expression of oxidative stress markers in brain tissue
Mouse brain tissue (n = 6) was homogenized at a weight-to-volume ratio of 1:9 in pre-cooled saline to form a 10% brain tissue homogenate. After centrifugation at 4500 rpm for 10 min, the supernatant was collected. Superoxide dismutase (SOD, batch number: A003-1-2), glutathione peroxidase (GSH-PX, batch number: A005-1-2), malondialdehyde (MDA, batch number: A003-1-2)were measured using a MULTISKAN FC microplate reader(Jiancheng Bioengineering Institute, Nanjing, China).
16S rDNA sequencing
In a sterile environment, fecal samples from mice (n = 6) were collected and placed in EP tubes. After liquid nitrogen quenching, the samples were sent to Baiqu Biotechnology Co., Ltd. (Shanghai, China) for 16S rDNA sequencing analysis.
For high-throughput 16S rDNA sequencing analysis of animal gut microbiota, total microbial DNA was extracted from colonic content samples using the CTAB method, eluted with 50 μL buffer solution, and stored at -80 °C. Using primers 341F (5'-cctacgggnggcwggcag-3') and 805R (5'-GACTACHVGGGTATCTAATCC-3'), bacterial 16S rDNA genes in the V3-V4 hypervariable regions were amplified by PCR (A200, Longgene Scientific Instrument Co., Ltd., Hangzhou, China). PCR conditions were as follows: denaturation at 98 °C for 30 s, followed by 32 cycles of denaturation at 98 °C for 10 s, annealing at 54 °C for 30 s, and extension at 72 °C for 45 s, with a final extension at 72 °C for 10 min. Unique barcodes were assigned to the samples for paired-end read length, and barcodes and primer sequences were trimmed. Double-end read data were merged using FLASH software, and filtering was performed using fqtrim (v0.94) to retain high-quality and usable reads. Chimeric sequences were removed using Vsearch software (v2.3.4). DADA2 was then used to process the reads and generate feature tables and feature sequences. Alpha and beta diversity were normalized to the same sequence, and feature abundance was normalized based on the relative abundance of each sample using the SILVA (v138) classifier. QIIME2 (http://qiime2.org/↗) was used to calculate the Chao1 index, Goods_coverage index, Shannon index, and Simpson index for species diversity and complexity analysis, as well as beta diversity analysis. Finally, each representative sequence was annotated by BLASTing against the SILVA database (http://www.arb-silva.de/↗).
Lipidomics research
Analysis was conducted using a UHPLC-MS system (Q Exactive, Thermo Scientific). Preprocessed serum samples (5 µL) were injected into an ACQUITY UPLC BEH C18 column (2.1 × 100 mm, 1.7 µm) and analyzed at 40 °C with a flow rate of 0.3 mL/min. The mobile phase was composed of acetonitrile (A) and 0.1% formic acid in water (B). A gradient elution was applied as follows: 0–2 min, 5% A; 2–5 min, 5–10% A; 5–10 min, 10–30% A; 10–13 min, 30–60% A; 13–15 min, 60% A; 15–19 min, 60–100% A; 19–21 min, 100–5% A; 21–25 min, 5% A. The column was re-equilibrated under 5% A. Electrospray ionization (ESI) was used in both positive and negative ion modes. The spray voltage was set to 3.2 kV. The sheath and auxiliary gas flow rates were 40 and 5 arb, respectively, with the auxiliary gas heated to 350 °C. The ion transfer tube temperature was maintained at 320 °C, and the S-Lens RF level was 50 V. The mass spectrometer was set to a scan range of m/z−1 100–1000 with a collision energy of 30 eV. The LC–MS data were processed using Compound Discoverer 3.3 for peak deconvolution, alignment, calibration, and normalization. The normalized peak area data from all groups were then subjected to multivariate statistical analysis in SIMCA 14.1-P, including principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). The OPLS-DA model was rigorously evaluated using R2Y and Q2 values, along with permutation testing (R2 and Q2 intercepts), to ensure robustness and prevent overfitting. Differential metabolites were selected based on a variable importance in projection (VIP) score > 1 from the OPLS-DA model and a P < 0.05 from Student's t-test, comparing both the blank versus model groups and the OEM versus model groups. These metabolites were identified by querying databases such as Lipid MAPS and HMDB, and potential biomarkers were proposed. Their expression trends across groups were visualized by cluster heatmaps, while correlations among the putative lipid biomarkers were assessed to elucidate interrelationships. Pathway enrichment analysis of the differential metabolites was performed using the Metabo Analyst 5.0 online platform.
Determination of TMAO, 5-HT, and inflammatory factor expression in brain and colon tissues
Brain and colon tissues (n = 6) were homogenized in phosphate-buffered saline (PBS) at a weight-to-volume ratio of 1:9 to obtain a 10% tissue homogenate. After centrifugation at 4500 rpm for 10 min, the supernatant was collected. Levels of trimethylamine N-oxide (TMAO, batch number: F30661↗-A), 5-hydroxy-L-tryptophan (5-HT, batch number: F2443-A), lipopolysaccharide (LPS, batch number: F2132-A), tumor necrosis factor-alpha (TNF-α, batch number: F2631-A), and interleukin-6 (IL-6, batch number: F2163-A) were measured using the ELISA method (Vangen Biotech Co., Ltd., Shanghai, China).
Immunohistochemical detection of the expressions of p-Tau and GFAP in brain tissue
Paraffin-embedded brain tissue sections were prepared. Following deparaffinization and hydration through a graded series of xylene, absolute ethanol, 95% ethanol, and 85% ethanol, antigen retrieval was conducted using sodium citrate buffer. The sections were then blocked with serum and incubated overnight at 4 ℃ with primary antibodies against p-Tau and GFAP (diluted 1:75). After washing with PBS, the sections were incubated with a secondary antibody for 3 h. Color development was performed using DAB, followed by counterstaining with hematoxylin. Finally, the sections were dipped in 1% acid alcohol for 5 s, dehydrated through a graded ethanol series, and mounted with coverslips.
Determination of tight junction proteins in brain and colon tissues
Frozen brain and colon tissues were weighed and placed in a grinding tube. The tissues were homogenized in RIPA lysis buffer with proteinase and phosphatase inhibitors at a weight-to-volume ratio of 1:9. Grinding beads were added to the mixture, which was then processed in a grinding machine (Wuhan Servicebio Technology Co., Ltd., Wuhan, China). The tissue protein mixture was removed, dissolved on ice for 10 min, and then centrifuged at 4 °C at 12,000 rpm for 15 min. The supernatant was transferred to a new centrifuge tube and stored at − 80 °C. After lysis, homogenization, and centrifugation, the total protein was extracted and quantified using the BCA assay. Proteins were denatured and samples were prepared. SDS-PAGE electrophoresis was performed with an 8% separation gel and a 5% stacking gel. The stacking gel was run at 80 V, and the separation gel at 120 V. The PVDF membrane was wetted for 90 min, blocked with a blocking solution for 15 min, and incubated overnight at 4 °C with primary antibodies (Occludin 1:1000; Claudin 5 1:500; β-actin 1:2000). The membrane was washed three times with TBST for 5 min each, and then incubated with secondary antibodies (goat anti-rabbit 1:6000, 1:4000) at room temperature for 30 min. The membrane was washed again with TBST and visualized with ECL. The bands were analyzed.
Aluminum trichloride combined with D-galactose induces a mouse model of memory impairment and administration via fecal microbiota transplantation
To further verify the mediating mechanism of the gut-brain axis and clarify the relationship between gut microbiota and cognitive impairment, fecal microbiota transplantation (FMT) was performed in mice in this study. Prior to the experiment, mice were acclimatized for 1 week and randomized into six groups based on body weight: control, model, model + quadruple antibiotic clearance (MA), model + MA + OE (MAE), model + OE (OE), and model + fecal microbiota transplantation (FMT). Except for the control group, all mice received intraperitoneal injection of D-galactose (120 mg/kg) and intragastric administration of aluminum chloride (20 mg/kg) daily for 60 days. From week 3, MA, MAE, and FMT mice were intragastrically administered antibiotics (neomycin 200 mg/(kg·d), metronidazole 200 mg/(kg·d), vancomycin 100 mg/(kg·d), ampicillin 200 mg/(kg·d)) to establish a pseudo-sterile environment. From week 4, MAE and OE mice received intragastric OE (115.20 mg/kg), FMT mice received fecal bacterial suspension, and Model and model + MA mice received normal saline (same dose as OE, once daily) for 30 days. Fecal suspension was prepared by homogenizing fecal contents from OE mice in sterile saline (200 mg feces/2 mL saline), filtering through sterile gauze, centrifuging at 1200 r/min for 5 min, and adjusting the supernatant to the original volume.
Behavioral science
The behavioral tests were performed according to the procedures described in Sect. “”. Behavioral science
Histopathological observation of brain and colon tissues
Brain tissues and colon tissues were fixed with 4% paraformaldehyde, then the following steps were performed: dehydration, embedding in paraffin, slicing, haematoxylin and eosin (H&E) staining and Nissl staining for pathological evaluation.
Expression of LPS, TNF-α and IL-6 in brain and colon tissues
The enzyme-linked immunosorbent assay (ELISA) kits used to detect the levels of mouse LPS, TNF-α, IL-6 in brain and colon tissues were purchased from Winshare Bio-Tech (Shanghai) Co., Ltd. The experimental procedures were carried out according to the manufacturer’s instructions, which were consistent with those described in Sect. “” of this study. The concentrations of target proteins were determined by standard protein curves. Determination of TMAO, 5-HT, and Inflammatory Factor Expression in Brain and Colon Tissues
Permeability of FITC-dextran
All mice were fasted for 12 h before receiving an oral dose of 50 mg/kg of FITC-dextran (FD-4,4kDa, A1149843, Ambeed). After 4 h, the distribution of FITC-dextran in mice was observed using a small animal imaging system (IVlS Lumina Series lll, America).
Peripheral blood was collected from mice and allowed to stand for 30 min in the dark. The samples were centrifuged at 860 g at 4 ℃ for 10 min to collect serum. The fluorescence intensity of the serum was detected, and a standard curve was used to calculate the concentration of FITC-dextran in the serum.
Statistical methods
The experimental data were processed using SPSS 27.0 (SPSS, Inc., Chicago, IL, USA), GraphPad Prism 8.0 (San Diego, California, USA) and Origin 2021 (OriginLab, Inc., Northampton, MA, USA). Results were expressed as mean ± SD. Data with a normal distribution were analyzed using one-way analysis of variance (ANOVA). Data with a non-normal distribution were analyzed using non-parametric tests (Kruskal–Wallis test). Spearman's correlation analysis was employed to examine the correlation between differential microbiota and biochemical indicators. A p-value < 0.05 was considered statistically significant.
Results
Qualitative analysis of chemical components in OE
Negative ion mode of polygala oligosaccharide ester
| No. | Compound | tR(min) | Formula | Calculated mass()m/z | Measured mass()m/z | Mass error/ppm | MS/MS(-) |
|---|---|---|---|---|---|---|---|
| 1 | Sibiricose A3 | 6.33 | CHO192613 | 461.1301 | 461.1295 | − 1.3043 | 209.0446, 299.0756, 281.0664, 239.0552 [] [26] |
| 2 | Sibiricose A1 | 6.62 | CHO233215 | 547.1668 | 547.1673 | − 0.9140 | 119.0333, 175.0024, 190.0259, 205.0496, 341.0012 [] [26] |
| 3 | Sibiricose A5* | 8.62 | CHO233215 | 517.155 | 517.1552 | 0.38684 | 329.0662, 339.2326, 340.2361 |
| 4 | Sibiricose A6* | 8.99 | CHO223014 | 547.1659 | 547.166 | 0.18281 | 175.0021, 190.0258, 205.0495, 223.0602, 367.1028 |
| 5 | Glomeratose E | 10.92 | CHO344019 | 751.208 | 751.2083 | 0.3995 | 259.0246, 427.1020 [] [26] |
| 6 | Tenuifoliside B | 11.19 | CHO303617 | 667.188 | 667.1873 | − 1.0495 | 137.0228, 205.0495, 461.1305, 614.8856 [] [27] |
| 7 | 3,6'-Disinapoyl sucrose* | 11.98 | CHO344219 | 753.2234 | 753.2236 | − 0.2656 | 164.0465, 190.0259, 205.0495, 223.0602, 365.0719, 325.0947 |
| 8 | Sibiricose A4 | 12 | CHO344219 | 753.2246 | 753.2236 | − 1.3280 | 205.0492 [] [26] |
| 9 | Arillanin A | 12.14 | CHO334018 | 723.2136 | 723.2133 | − 0.4149 | 190.0257, 205.0494, 223.0602 [] [28] |
| 10 | Tenuifoliside A* | 12.85 | CHO313817 | 681.2031 | 681.2025 | − 0.8810 | 127.0228, 223.0604, 239.0551, 443.1120, |
| 11 | Tenuifoliside C* | 13.39 | CHO354419 | 767.2399 | 767.2394 | − 0.6519 | 205.0495, 237.0764, 325.0944, 367.1041, 529.1581 |
| 12 | Tenuifoliose S | 13.1 | CHO556831 | 1223.3671 | 1223.3646 | − 2.0442 | 145.0278, 307.0817, 955.2739 [] [26] |
| 13 | Tenuifoliose K | 13.12 | CHO577032 | 1265.3777 | 1265.3751 | − 2.0553 | 425.6346, 997.2932, 1119.3353 [] [27] |
| 14 | Tenuifoliose C/E | 13.26 | CHO587233 | 1295.3883 | 1295.3849 | − 2.6255 | 851.2659, 1119.3464, 997.3049 [] [27] |
| 15 | Tenuifoliose T | 13.28 | CHO567032 | 1253.3772 | 1253.3748 | − 1.91540 | 307.0821, 631.1880, 647.1964, 955.2874 [] [28] |
| 16 | Tenuifoliose J | 13.37 | CHO597233 | 1307.3878 | 1307.3849 | − 2.21882 | 307.0814, 339.0854, 631.1878, 689.2134, 997.3006, 1119.3443 [] [28] |
| 17 | Tenuifoliose B | 13.48 | CHO607434 | 1337.3983 | 1337.3949 | − 2.5430 | 307.0819, 339.0857, 631.1868, 997.3057, 1119.3494 [] [28] |
| 18 | Tenuifoliose O | 13.6 | CHO617635 | 1367.4094 | 1367.4056 | − 2.77981 | 1027.3105 [] [26] |
| 19 | Tenuifoliose H | 13.8 | CHO617434 | 1349.3983 | 1349.3953 | − 2.22387 | 674.2025, 731.2242, 1039.3158, 1161.3380 [] [29] |
| 20 | Glomeratose F | 13.85 | CHO546429 | 1175.3461 | 1175.3441 | − 1.7021 | 307.0824, 673.1930 [] [26] |
| 21 | Tenuifoliose A | 13.87 | CHO627635 | 1379.4094 | 1379.4059 | − 2.5381 | 1039.3136, 1161.3585 [] [27] |
| 22 | Tenuifoliose N | 13.94 | CHO637836 | 1409.42 | 1409.4176 | − 0.9141 | 1069.3197, 1191.3413 [] [27] |
OE enhances learning and memory ability
OE can enhance the learning and memory abilities of mice with Memory disorder, repair brain tissue damage, and enhance neuroprotective effects.Morris water maze spatial exploration test.Distance moved in the target quadrant.Time spent in the target quadrant.Number of entries into the target quadrant.Number of entries into the original platform.Time spent in the original platform.Distance moved in the original platform;= 8,± s, compared with the model group,< 0.05,< 0.01.Track map of the spatial exploration test on the 5th day in the Morris water maze. a b c d e f g h n x̄ P P ∆ ∆∆
OE can repair brain tissue injury
OE can repair brain tissue damage, enhance neuroprotection and improve antioxidant capacity.Nissl staining (× 200); black arrow indicates nuclear pyknosis.Number of neurons in the CA1 region.Number of neurons in the CA3 region.Number of neurons in the DG region;= 3,± s, compared with the model group,< 0.05,< 0.01.–Contents of TMAO, CREB, and BDNF in mouse serum;= 6,± s, compared with the model group:< 0.05,< 0.01.–Activities of SOD, MDA, and GSH-PX in mouse brain tissue;= 6, mean ± standard deviation, compared with the model group:< 0.05,< 0.01. a b c d e g h j n x̄ P P n x̄ P P n P P ∆ ∆∆ ∆ ∆∆ ∆ ∆∆
OE can enhance neuroprotective effects
In the model group, serum levels of CREB and BDNF were significantly reduced (P < 0.01), while TMAO levels were significantly increased (P < 0.01) compared to the control group. The PT group significantly increased serum levels of CREB (P < 0.05) and BDNF (P < 0.01), and reduced the TMAO level (P < 0.01). The OEL group significantly increased BDNF levels (P < 0.05), while the OEM and OEH groups significantly enhanced CREB and BDNF levels (P < 0.05) and simultaneously reduced TMAO levels (P < 0.05) (Fig. 3e–g).
OE can enhance antioxidant stress resistance ability
Compared with the control group, the model group showed a significant increase in MDA content in brain tissue (P < 0.05) and a significant decrease in SOD and GSH-PX activities (P < 0.05 and P < 0.01). The PT group also significantly reduced MDA content (P < 0.05). The OEL group significantly increased GSH-PX activity (P < 0.05), the OEM group significantly increased both SOD (P < 0.05) and GSH-PX activities (P < 0.01) while reducing MDA levels (P < 0.01), and the OEH group significantly increased GSH-PX activity (P < 0.01) and reduced MDA levels (P < 0.05). These results suggest that OE treatment effectively mitigates neuro- and oxidative damage in the brains of MD mice (Fig. 3h–j).
The impact of OE on the gut microbiota of MD mice
Previous studies have established a correlation between gut dysbiosis and the occurrence and progression of MD. Pharmacological studies have demonstrated that OE alleviates behavioral deficits, improves biochemical markers, and mitigates pathological changes in brain tissue in MD mice. To further explore how OE regulates the gut microbiota to exert these beneficial effects, this study utilized 16S rDNA gene sequencing and bioinformatics analysis.
Quantitative analysis of OTUs between groups
The impact of OE on the gut microbiota of MD mice.Richness rank curve.Rarefaction curve.OTUs Veen analysis.–Alpha diversity analysis.Chao 1 index.Good-coverage index.Simpson index.Shannon index;= 6,± s, compared with the model group:< 0.05,< 0.01; compared with the control group:< 0.05,< 0.01.,Beta diversity analysis.PCA plot.PCoA plot a b c d g d e f g h i h i n x̄ P P P P ∆ ∆∆ # ##
Alpha diversity analysis
Alpha diversity provides insights into the richness, evenness, and sequencing depth of the microbial species detected. The indices used in this analysis include Chao1, which estimates the number of species in the community, and Goods-coverage, which represents the coverage of the microbial community. A higher Goods-coverage value indicates a more accurate reflection of the microbial community. Shannon and Simpson indices measure sample diversity, with higher Shannon values indicating greater diversity and higher Simpson values indicating lower diversity. The results showed that compared with the control group, the Chao1 index in the model group and OEH group increased significantly, with the OEH group showing the most significant increase (P < 0.01). There was no significant difference in the Goods-coverage index between the groups. The Shannon index and Simpson index also increased significantly in the model group and OEH group (P < 0.05 and P < 0.01, respectively), with the OEH group showing a trend towards recovery to levels observed in the control group. These data indicate that, following the induction of MD, the diversity and abundance of gut microbiota increased, with a decreasing trend observed after OEH treatment (Fig. 4d–g).
Beta diversity analysis
In addition to alpha diversity, beta diversity assesses the overall diversity or biological heterogeneity of a community in a specific environment, highlighting species differences between groups. Principal Coordinate Analysis (PCA) demonstrated that samples within each group were relatively clustered, while samples between groups were distinctly separated, indicating significant differences among the groups. Notably, compared with the model group, the intestinal microbiota structure of the OEH group showed a trend towards convergence with that of the control group. Principal Coordinates Analysis (PCoA) further indicated that the control group and the model group could be independently classified. After OEH administration, the microbiota structure in MD mouse samples approached that of the control group, consistent with the PCA results (Fig. 4h, i).
Analysis of gut microbiota composition
Gut microbiota composition analysis and linear discriminant analysis.Relative abundance of gut microbiota at the phylum level.Relative abundance of gut microbiota at the genus level.Relative abundance of Firmicutes.Relative abundance of Bacterioidota.Firmicutes/Bacterioidota ratio;= 6,± s, compared with the model group:< 0.05,< 0.01.Relative abundance of Ligilactobacillus.Relative abundance of Muribaculaceae_unclassified.Relative abundance of Lactobacillus;= 6,± s, compared with the model group:< 0.05,< 0.01.,Differential species analysis.LEfSe evolutionary branch diagram.LEfSe histogram a b c d e f g h i j i j n x̄ P P n x̄ P P ∆ ∆∆ ∆ ∆∆
Linear discriminant analysis of microbial species
Linear Discriminant Analysis Effect Size (LEfSe) was used to evaluate the impact of sample abundance on microbial variation, with a threshold set at P < 0.05 and Lg (LEfSe score) > 4 for identifying biomarkers. A total of 25 marker microbial groups were identified from the phylum to genus levels (Fig. 5i, j). The model group was characterized by specific microbial groups, including the phylum Patescibacteria, the unclassified genus Muribaculaceae, and the genus Candidatus_saccharimonas. Conversely, the control group was marked by the presence of the phylum Firmicutes and the genus Ligilactobacillus. In the OEH group, significant markers included Lachnospiraceae_NK4A136_group, Clostridiales_unclassified, and HT002, with the first two belonging to the Firmicutes phylum. These findings suggest that Firmicutes may serve as a potential biological marker for OE's regulation of the intestinal microbiota.
Functional analysis of gut microbial community
Functional analysis of gut microbial community.Level 1 KEGG functional annotation analysis of differential gut microbiota.Level 2 KEGG functional annotation analysis of differential microbiota.Level 3 KEGG functional annotation analysis of differential microbiota;= 6,± s, compared with the model group:< 0.05,< 0.01 a b c n x̄ P P ∆ ∆∆
OE enhances the neuroprotective and anti-oxidative stress abilities of mice with memory impairment by regulating the glycerophospholipid metabolism pathway.
Orthogonal partial least squares-discriminant analysis (OPLS-DA) further confirmed distinct separations in lipid metabolic profiles between the blank and model groups, as well as between the model and OEH groups, in both positive and negative ion modes (Fig. 8b–c, e–f). The high Q2 values (> 0.9) indicate an excellent model fit and predictive capability. To validate model robustness and guard against overfitting, a permutation test (n = 200) was conducted for each model. The results confirm that all OPLS-DA models are reliable and not overfitted.
Differential lipid metabolites were screened by applying a variable importance in the projection (VIP) threshold of > 1.0 from the OPLS-DA model and a statistical significance of P < 0.05. As shown in Fig. 8d, 83 common differential lipid metabolites were identified across the three groups. Following rigorous identification, 17 of these common metabolites were established as biomarkers through which OE ameliorates memory impairment (MD). Compared to the model group, the OEH group exhibited significant up-regulation of 4 serum lipid metabolites and significant down-regulation of 13.
Visual heatmap analysis revealed distinct expression patterns of metabolites between the blank and model groups. Following OEH treatment, these metabolite levels shifted significantly, normalizing toward the profile observed in the blank group (Fig. 8g). Subsequent cluster analysis of the identified differential lipid metabolites categorized them as follows: 9 fatty acids (FA), 7 glycerophospholipids (GP), and 1 glycerolipid (GL). This classification indicates that FAs represent the most abundant category of altered lipids, followed by GPs.
We subsequently integrated these findings to construct a metabolic network diagram delineating the regulatory effect of OE on MD (Fig. 9b). Arrows adjacent to the compounds indicate the direction of their content changes. Notably, PC(38:4) was implicated in four pathways: glycerophospholipid, linoleic acid, α-linolenic acid, and arachidonic acid metabolism. Similarly, LyPC(22:2) participated in glycerophospholipid metabolism, while GPEA was associated with both glycerophospholipid and ether lipid metabolism. The central role of these key metabolites underscores the critical importance of the glycerophospholipid metabolism pathway in mediating the therapeutic effects of OE against memory impairment.
Analysis of three key metabolites revealed significant alterations in LyPC(22:2), GPEA, and PC(38:4) within the glycerophospholipid metabolism pathway (Fig. 9c–e). Specifically, compared to the blank group, the model group exhibited significantly decreased serum levels of LyPC(22:2) (P < 0.01) and PC(38:4) (P < 0.01), alongside a significant increase in GPEA (P < 0.01). Treatment with OEH significantly reversed these alterations, elevating the levels of LyPC(22:2) (P < 0.05) and PC(38:4) (P < 0.05) while reducing GPEA (P < 0.01) compared to the model group. Collectively, these results demonstrate that polygala tenuifolia oligosaccharide esters ameliorate memory impairment by normalizing lipid metabolism dysregulation via the glycerophospholipid pathway.
The Spearman correlation was used to analyze the correlation coefficients between the three key lipid metabolites in the glycerophospholipid metabolism pathway and the neuroprotection indexes and oxidative stress indexes to determine the internal relationships among them.
As shown in Fig. 9f, the results of the correlation analysis with neuroprotection factors indicate that TMAO has a significantly positive correlation with GPEA (P < 0.01) and a significantly negative correlation with LyPC(22:2) (P < 0.01). BDNF has a significantly negative correlation with GPEA (P < 0.05). CREB has a significantly positive correlation with PC(38:4) (P < 0.05) and a significantly negative correlation with GPEA (P < 0.01).
As shown in Fig. 9g, the results of the correlation analysis with oxidative stress indexes indicate that MDA has a significantly positive correlation with GPEA (P < 0.01) and a significantly negative correlation with LyPC(22:2) (P < 0.01). GSH-PX has a significantly positive correlation with LyPC(22:2) (P < 0.05) and a significantly negative correlation with GPEA (P < 0.01). SOD has a significantly positive correlation with PC(38:4) (P < 0.05) and a significantly negative correlation with GPEA (P < 0.05).
The above results indicate that the expression levels of LyPC(22:2), PC(38:4), and GPEA in the glycerophospholipid pathway have significant correlations with neuroprotection factors and oxidative stress indexes, suggesting that OE may improve memory impairment by regulating glycerophospholipid metabolism.
Total ion current chromatogram.Blank group: total ion chromatogram.Model group: total ion chromatogram.OEH group: total ion chromatogram a b c
Lipidomics analysis and visualization heat map of OE on MD mice.PCA score plot under total ion mode.OPLS-DA plot between the blank group and the model group.OPLS-DA plot between the model group and the OEH group.Venn diagram of lipid metabolites among the blank group, the model group and the OEH group.Score plot of the permutation test between the blank group and the model group.Permutation test between the model group and the OEM group.Visualization heat map a b c d e f g
Metabolic pathway, visualization network diagram of metabolic pathway, differential metabolites of glycerophospholipids and correlation analysis.Metabolic pathway.Visualization network diagram of metabolic pathway.Relative content of LyPC(22:2).Relative content of GPEA.Relative content of PC(38:4);= 6,±, Compared with the model group:< 0.05,< 0.01.Correlation analysis between lipid metabolites and neuroprotection factors.Correlation analysis between lipid metabolites and oxidative stress indexes; correlation strength:≤ 0.05,≤ 0.01 a b c d e f g n x̄ s P P P P ∆ ∆∆ * **
| Metabolic pathway | Match status | p | − log(p) | Holm p | FDR | Impact |
|---|---|---|---|---|---|---|
| Glycerophospholipid metabolism | 3/36 | 0.00001 | 4.9383 | 0.00096822 | 0.00096822 | 0.15471 |
| Linoleic acid metabolism | 1/5 | 0.00965 | 2.0154 | 0.80115 | 0.4054 | 0 |
| α-linolenic acid metabolism | 1/13 | 0.02497 | 1.6026 | 1 | 0.69907 | 0 |
| Ether lipid metabolism | 1/20 | 0.03824 | 1.4175 | 1 | 0.80297 | 0 |
| Arachidonic acid metabolism | 1/36 | 0.06812 | 1.1668 | 1 | 1 | 0 |
Discussing the mechanism of OE on MD mice based on the "gut-brain" axis theory
OE can repair colon tissue
OE can repair colon tissue, reduce the levels of inflammatory factors and restore microbial metabolism.Impact on mouse colon tissue (× 200). Black arrow: abnormal inflammatory infiltration—cryptitis; red arrow: abnormal inflammatory infiltration—increased stromal plasma cells.TMAO levels in colon tissue.TMAO levels in brain tissue.5-HT levels in colon tissue.5-HT levels in brain tissue;= 6,± s, compared with the model group:< 0.05,< 0.01.–Contents of LPS, TNF-α, and IL-6 in mouse brain and colon tissues.–Brain tissue.-Colon tissue;= 6,± s, compared with the model group:< 0.05,< 0.01, ns.: no significant difference a b c d e f k f h i k n x̄ P P n x̄ P P ∆ ∆∆ ∆ ∆∆
OE can restore microbial metabolite levels
To further elucidate the mechanism by which OE improves MD, we assessed the levels of TMAO and 5-HT in the brain and colon tissues of MD mice (Fig. 10b–e). In the brain tissue, TMAO levels in the model group were significantly higher compared to the control group (P < 0.01), while 5-HT levels were significantly lower (P < 0.05). After OEH treatment, TMAO levels in the brain tissue significantly decreased (P < 0.05), and 5-HT levels significantly increased (P < 0.01). Similarly, in colon tissue, TMAO levels were significantly elevated (P < 0.01) and 5-HT levels significantly reduced (P < 0.01) in the model group compared to the control. OEH treatment resulted in a significant decrease in TMAO levels (P < 0.05) and a significant increase in 5-HT levels (P < 0.01) in colon tissue. These findings indicate that OE administration can effectively regulate TMAO and 5-HT levels in both brain and colon tissues, consistent with the serum data. This suggests that MD may compromise the blood–brain barrier, allowing TMAO to enter the brain and affect brain function.
OE can reduce the levels of inflammatory factors
In brain tissue (Fig. 10f–h), the levels of LPS, TNF-α, and IL-6 in the model group significantly increased compared to the blank group (P < 0.01). In contrast, these levels significantly decreased in the OEH group compared to the model group (P < 0.01). In colon tissue (Fig. 10i–k), the levels of TNF-α and IL-6 in the model group significantly increased compared to the blank group (P < 0.01). Compared to the model group, the levels of TNF-α and IL-6 in the OEH group significantly decreased (P < 0.05, P < 0.01). Although the LPS content in the colon tissue of the model group significantly increased, it was downregulated after OE administration without a significant difference. These results suggest that gut microbiota dysbiosis may affect the permeability of the gut-brain barrier, leading to increased intestinal pro-inflammatory factors such as LPS, TNF-α, and IL-6. Polygala oligosaccharide esters can alleviate this phenomenon, further suggesting that MD may damage the gut-brain axis barrier.
Results of immunohistochemistry
Results of immunohistochemistry for p-Tau and GFAP.Results of immunohistochemistry for GFAP.Expression levels of GFAP protein in CA1, CA3, and DG regions compared with the model group:< 0.05,< 0.01.Results of immunohistochemistry for p-Tau.Expression levels of p-Tau protein in CA1, CA3, and DG regions compared with the model group:< 0.05,< 0.01 a b c d ∆ ∆∆ ∆ ∆∆ P P P P
Correlation analysis
To further elucidate the relationship between the “gut—brain” axis, we analyzed the levels of relevant factors in brain and colon tissues. Spearman correlation analysis was conducted with the top 10 relative abundance OTUs, LDA ≥ 4 phyla and genera (Firmicutes, Ligilactobacillus, HT002, and Muribaculaceae—unclassified), and the differential lipid metabolites (LyPC(22:2), PC(38:4) and GPEAF in the glycerophospholipid metabolic pathway to clarify their interaction relationships.
As shown in Fig. 12b, in colon tissue, TMAO was significantly positively correlated with GPEA (P < 0.01) and significantly negatively correlated with Ligilactobacillus (P < 0.01), LyPC(22:2) (P < 0.05) and PC(38:4) (P < 0.01); 5-HT was significantly positively correlated with LyPC(22:2) (P < 0.05) and significantly negatively correlated with GPEA (P < 0.05); TNF-α was significantly negatively correlated with HT002 (P < 0.05); IL-6 was significantly positively correlated with GPEA (P < 0.05) and significantly negatively correlated with LyPC(22:2) (P < 0.01).
OE can improve the gut-brain barrier.Correlation analysis between gut microbiota and brain tissue indicators.Correlation analysis between gut microbiota and colon tissue indicators.–Expression of Occludin protein in brain and colon tissues.Expression level of Occludin protein in brain tissue.Expression level of Occludin protein in colon tissue;expression level of Claudin 5 protein in brain tissue.Expression level of Claudin 5 protein in colon tissue.= 3,± s, compared with the model group:< 0.05,< 0.01 a b c f c d e f n x̄ P P ∆ ∆∆
OE can improve the gut-brain barrier
To further determine whether OE improve MD through the "gut-brain" axis, WB analysis was performed to assess the expression of key proteins, Occludin and Claudin 5, which are critical for the structure, permeability, and function of gut and brain tissues (Fig. 12c–f).
Compared to the blank group, the protein levels of Occludin (P < 0.05) and Claudin 5 (P < 0.01) were significantly reduced in the brain tissue of the model group. Similarly, in the colon tissue of the model group, the protein levels of Occludin (P < 0.01) and Claudin 5 (P < 0.01) were significantly decreased. In contrast, compared to the model group, the protein levels of Occludin (P < 0.05) and Claudin 5 (P < 0.01) were significantly increased in the brain tissue of the OEH group, and the protein levels of Occludin (P < 0.01) and Claudin 5 (P < 0.01) were also significantly increased in the colon tissue of the OEH group.
These results suggest that MD in mice can damage the gut and brain tissue barriers, facilitating the passage of TMAO, 5-HT, LPS, TNF-α, and IL-6 across the blood–brain barrier and exacerbating neuroinjury. Following OE treatment, significant repair of the gut and brain tissue barriers was observed, thus protecting the body's homeostasis.
FMT treatment can enhance the learning and memory abilities of MD mice
OE can enhance the learning and memory abilities of mice with memory disorder, repair brain tissue damage, and enhance neuroprotective effects.Morris water maze spatial exploration test.Distance moved in the target quadrant.Time spent in the target quadrant.Number of entries into the target quadrant.Number of entries into the original platform.Time spent in the original platform.Distance moved in the original platform;= 8,± s, compared with the model group,< 0.05,< 0.01;MAE group compared with OE group:< 0.05,< 0.01.Track map of the spatial exploration test on the 5th day in the Morris water maze a b c d e f g h n x̄ P P P P ∆ ∆∆ * **
FMT treatment can repair brain tissue damage
Fecal microbiota transplantation repairs brain tissue injury.HE staining of mouse brain tissue (× 200).Nissl staining of mouse brain tissue (× 200) a b
FMT treatment can repair colon tissue in MD mice
Fecal microbiota transplantation repaired colon tissue damage and reduced inflammatory factor levels in both brain and colon tissues.HE staining of mouse colon tissue (× 200).–Levels of LPS, TNF-α, and IL-6 in mouse colon.–Levels of LPS, TNF-α, and IL-6 in mouse brain.= 6,± s, compared with the model group:< 0.05,< 0.01; MAE group compared with OE group:< 0.05,< 0.01 a b d e g n x̄ P P P P ∆ ∆∆ * **
FMT treatment can alleviate inflammatory responses in the brain and colon tissues of MD mice
Compared with the control group, the levels of LPS, TNF-α, and IL-6 in colon tissue were significantly increased in the model group (P < 0.01). Compared with the model group, the MA group showed a significant decrease in LPS level (P < 0.01); the MAE group exhibited significant decreases in LPS and IL-6 levels (P < 0.01) and a significant decrease in TNF-α level (P < 0.05); the OE and MFT groups showed significant decreases in LPS, TNF-α, and IL-6 levels (P < 0.01). Compared with the MAE group, the OE group showed significant decreases in LPS and IL-6 levels (P < 0.05) (Fig. 15b–d).
Compared with the control group, the levels of LPS, TNF-α, and IL-6 in brain tissue were significantly increased in the model group (P < 0.01). Compared with the model group, the MA group showed a significant decrease in IL-6 level (P < 0.05); the MAE group exhibited a significant decrease in IL-6 level (P < 0.01) and significant decreases in LPS and TNF-α levels (P < 0.05); the OE group showed significant decreases in LPS, TNF-α, and IL-6 levels (P < 0.01); the MFT group exhibited significant decreases in TNF-α and IL-6 levels (P < 0.01) and a significant decrease in LPS level (P < 0.05) (Fig. 15e–g). These findings demonstrate that both OE and FMT treatments significantly alleviate inflammation in the colon and brain, whereas quadruple antibiotic administration markedly attenuates the therapeutic effect of OE on intestinal inflammation.
FMT can reduce colonic permeability in MD mice
Quantitative measurement of serum FD4 fluorescence intensity yielded results consistent with the imaging findings. Relative to the Control group, serum FD4 levels were significantly elevated in the Model group (P < 0.01), and this increase was significantly reversed by both OE and FMT interventions (P < 0.01) (Fig. 16b).
Furthermore, serum FITC-dextran fluorescence intensity was significantly lower in the OE group than in the MAE group (P < 0.01), implying that the therapeutic efficacy of OE was markedly attenuated following gut microbiota depletion with quadruple antibiotics. Collectively, these results confirm that OE exerts its pharmacological effects via modulation of the gut microbiota in MD model mice.
FMT reduced colonic permeability in MD mice.HE staining of mouse colon tissue (× 200).FITC-dextran distribution in the intestinal tract of mice.Content of FITC-dextran in serum= 6,± s. compared with the model group:< 0.05,< 0.01; MAE group compared with OE group:< 0.05,< 0.01 a a b n x̄ P P P P ∆ ∆∆ * **
Discussion
MD is a common clinical condition with an unclear etiology and mechanism. Studies have indicated a link between the abnormal accumulation of senile plaques and neurofibrillary tangles in neuropathological mechanisms, which promote free radical damage, reduce cholinergic activity, and lead to memory and cognitive dysfunction [19]. Existing clinical treatments can only temporarily alleviate symptoms and do not prevent the degenerative progression of the disease or restore lost neurons. Given the multiple pathological factors involved in MD, single-target drugs are often inadequate for addressing all pathogenic factors. Thus, multi-target drugs offer a promising strategy for potential prevention or slowing of disease progression [20, 21].
Polygala oligosaccharide esters, a component of Polygala, exhibit significant neuroprotective and antidepressant properties. Modern studies have shown that various components of OE possess pharmacological activities, such as enhancing learning and memory, protecting neurons, and improving synaptic plasticity [22]. Effective animal models are crucial for studying disease mechanisms and drug actions. The MD mouse model induced by d-galactose combined with aluminum chloride displays pathological changes, including neuronal apoptosis, cholinergic system damage, and OS. Research indicates that this model affects neurotransmitter release in the brain and disrupts the gut microbiota [23]. Thus, this MD mouse model can be utilized to explore the mechanisms of MD-related drugs by regulating the gut microbiota. This study used the Morris water maze (MWM) and other behavioral experiments, classic tools for assessing animal learning, memory, dementia, and aging [24], to evaluate OE’s effects on the learning and memory abilities of MD mice. The MWM results showed that both the OEM and OEH groups increased stay time, movement distance, and entries into the target quadrant and original platform in MD mice, indicating that OE effectively improves MD. To further assess whether OE protects neurons in brain tissue, we performed Nissl staining. The staining results confirmed OE's protective effect on hippocampal neurons in MD mice, evidenced by orderly cell arrangement, clear nuclei, and increased Nissl bodies in the CA1, CA3, and DG regions compared to the model group, highlighting its therapeutic potential in alleviating MD. CREB is a key transcription factor that regulates BDNF and memory formation [25]. BDNF binds to the neurotrophin receptor tyrosine kinase receptor B (TRKB), inducing TRKB dimerization and autophosphorylation [26], which activates downstream extracellular regulated protein kinases (ERK) and serine/threonine kinase 1 (AKT1) [27], promoting CREB phosphorylation. This positive feedback enhances BDNF, supports synaptic plasticity, neurogenesis, and reduces neuronal apoptosis [28]. Previous studies have confirmed that CREB-regulated BDNF levels are significantly decreased in the brains of MD patients [25]. OE significantly increased CREB and BDNF levels in the serum of MD mice, enhancing their learning and memory abilities, with the OEH group showing the most significant pharmacological efficacy.
Studies have shown that the gut microbiota in healthy individuals remains stable due to the mutual regulation among various bacterial groups. However, under certain pathological conditions, the intestinal microenvironment may promote the overgrowth of specific bacterial groups, which may further lead to the dysregulation of gut microbiota homeostasis. Then, it can affect brain function through the microbiota-gut-brain axis, causing behavioral and psychiatric disorders in the body [29]. 16S rDNA sequencing results show that OTU (Operational Taxonomic Units) clusters differ among groups, with a significant increase in OTU numbers in the model group. Compared to the model group, the OEH group exhibits a reduction in OTU numbers. Analysis of the α diversity of gut microbiota shows that the α diversity in the model group is higher than in the blank group. After OEH treatment, the α diversity of MD mice is adjusted to match that of the blank group. Similarly, β diversity analysis reflects differences in the composition or structure of gut microbiota among groups. A significant difference is observed between the control group and the model group, with OEH administration balancing the imbalance in the gut microbiota structure of MD mice. Firmicutes and Bacteroidetes are important phyla of human gut bacteria.
Imbalances in Firmicutes and Bacteroidetes are often observed in various brain diseases, such as neurodegenerative diseases, stroke, and hypertension [30]. In conditions of cognitive impairment, gut microbiota diversity in feces decreases, with a significant reduction in Firmicutes abundance and an increase in Bacteroidetes abundance, leading to a decreased ratio of Firmicutes to Bacteroidetes [8]. Research shows that people with higher gut microbiota diversity perform better in cognitive tests such as memory, and Lachnospiraceae is one of the key microbial groups related to cognitive abilities [31]. The results of this study indicate a significant change in the species composition of the gut microbiota in MD mice. Analysis at the phylum level reveals that the relative abundance of Firmicutes in MD mice is significantly reduced, while the relative abundance of Bacteroidetes is significantly increased. OE can restore this microbiota imbalance by regulating the Firmicutes-to-Bacteroidetes ratio. Linear discriminant analysis shows that Firmicutes is a characteristic phylum in the blank group. The OEH group significantly increases the relative abundance of Lachnospiraceae_NK4A136_group and Clostridiales_unclassified within Firmicutes, thereby restoring microbial balance. Through the functional prediction analysis of PICRUSt2, it is clear that OE can improve the activities of pathways such as the Nervous System, Excretory System, Cell Growth and Death, Folding, Sorting and Degradation, Amino Acid Metabolism, Energy Metabolism, and Metabolic Diseases. It has a particularly obvious effect on pathways such as Alzheimer's disease and lipid metabolism. The above results indicate that OE can improve memory impairment and restore the composition and relative abundance of key gut microbiota. Meanwhile, they also suggest that OE may exert its ameliorative effects on memory impairment by regulating lipid metabolism. Abnormal lipid metabolism is one of the earliest proposed pathogenic mechanisms of AD. The results of multiple studies have shown that abnormal lipid metabolism can induce the hyperphosphorylation and aggregation of tau protein, which further leads to downstream enzymatic reactions and ultimately affects the pathological process of AD [32, 33].
Glycerophospholipids are involved in important processes such as the formation of biological membranes and signal transduction. Phosphatidylcholine synthesized from them is a key neurotransmitter. Studies have shown that supplementing Glycerophosphocholine (GPC) can delay the aging of the mouse brain, reduce the deposition of Transthyretin (TTR), and inhibit neuroinflammation [46]. Under the stimulation of chronic inflammation, changes in the levels of Neurotrophic factors (NTFs) can lead to memory dysfunction [47, 48]. In the state of oxidative stress in the body, it is likely to cause an increase in the number of Reactive oxygen species (ROS), induce Lipid peroxidation (LPO) of the phospholipids and cholesterol esters of Polyunsaturated fatty acid (PUFA) in the cell membrane and lipoprotein, generate lipid oxidation metabolites, and lead to a decrease in the activities of Superoxide Dismutase (SOD) and Glutathione (GSH) and an increase in the activity of Malondialdehyde (MDA) in the body's antioxidant system. In this study, the Metaboanalyst 5.0 metabolic pathway analysis was used to find that the oligosaccharide esters of Polygala tenuifolia can improve memory impairment through five pathways, including glycerophospholipid metabolism and linoleic acid metabolism, among which glycerophospholipid metabolism may play a major role. The levels of differential metabolites LyPC(22:2), PC(38:4), and GPEA in the glycerophospholipid metabolism pathway have changed. Compared with the blank group, the levels of LyPC(22:2) and PC(38:4) in the model group decreased significantly, and the level of GPEA increased significantly. After treatment with the oligosaccharide esters of Polygala tenuifolia, the levels of these three lipid metabolites significantly returned to normal. The above results suggest that Polygala tenuifolia oligosaccharide esters can ameliorate D-galactose/AlCl₃-induced memory impairment by regulating the homeostasis of glycerophospholipid metabolism, and its effect may be associated with modulating the metabolic balance of phosphatidylcholine and lysophosphatidylcholine. The Spearman correlation analysis also confirmed that the changes in the levels of these metabolites are consistent with the expression trends of the neuroprotective factors TMAO, CREB, and BDNF, and also consistent with the activities of the oxidative stress indicators MDA, SOD, and GSH-PX. The oligosaccharide esters of Polygala tenuifolia can improve cognitive function in mice with memory impairment by regulating metabolic pathways such as glycerophospholipid metabolism. Its mechanism of action may be associated with modulating lipid metabolic homeostasis, enhancing the body's anti-oxidative stress capacity, and exerting neuroprotective effects. Therefore, based on the above research results, it is shown that the oligosaccharide esters of Polygala tenuifolia can enhance the neuroprotective and anti-oxidative stress abilities of mice with memory impairment by regulating the glycerophospholipid metabolism pathway.
Dysbiosis of the gut microbiota, the release of intestinal pro-inflammatory factors, and increased intestinal barrier permeability form a tightly interlinked, self-reinforcing pathological cycle [49]. Disruption of microbial homeostasis directly impairs intestinal barrier integrity through multiple mechanisms: toxic microbial metabolites (e.g., LPS) attack and degrade key tight junction proteins (e.g., Occludin, Claudin, ZO-1), compromising the physical barrier, while simultaneously diminishing the thickness and density of the protective mucus layer, rendering the epithelium more vulnerable [50]. Crucially, dysbiosis potently activates local intestinal immunity-microbial components (e.g., LPS, flagellin), acting as pathogen-associated molecular patterns (PAMPs), are recognized by pattern recognition receptors (e.g., TLRs, NLRs) on epithelial cells and lamina propria immune cells [51, 52]. This recognition activates core inflammatory signaling pathways (e.g., NF-κB, MAPK), leading to the explosive release of abundant pro-inflammatory cytokines (e.g., TNF-α, IL-1β, IL-6, IFN-γ) [53].
These induced intestinal pro-inflammatory factors exert significant direct damaging effects on the gut barrier, further disrupting its structure and markedly increasing intestinal epithelial permeability. This heightened permeability represents a critical turning point in the escalating cycle, enabling the translocation of luminal-restricted substances-including microbiota-derived metabolites (e.g., LPS, SCFAs, bacterial DNA, peptidoglycan) and locally produced pro-inflammatory factors-into systemic circulation [54]. Circulating inflammatory mediators, particularly LPS and pro-inflammatory cytokines, reach the central nervous system via the bloodstream [55]. They can impair blood–brain barrier function and, more significantly, activate resident brain immune cells (microglia and astrocytes), triggering a neuroinflammatory cascade that releases additional brain-derived pro-inflammatory factors [56]. Critically, this neuroinflammation ultimately disrupts normal neural function and is implicated in the pathogenesis of anxiety, depression, cognitive impairment, and various neurodegenerative diseases [57, 58]. Furthermore, the brain, upon sensing stress or inflammatory signals, activates the hypothalamic–pituitary–adrenal (HPA) axis and autonomic nervous system (notably the sympathetic branch), releasing stress hormones (e.g., cortisol) and neurotransmitters (e.g., 5-HT, NE) [59, 60]. These signals feedback onto the gut, influencing its motility, secretion, blood flow, immune function, and microbiota composition, thereby further exacerbating intestinal inflammation, dysbiosis, and barrier damage, completing and sustaining this gut-brain pathological loop [61, 62].
TMAO (trimethylamine N-oxide) can induce gut microbiota imbalance, trigger neuroinflammation, and promote the accumulation of β-amyloid protein and tau protein [63, 64]. Researchers have detected TMAO in the cerebrospinal fluid of AD (Alzheimer's disease) patients, indicating that TMAO may enter the brains of AD patients through the Blood–brain barrier (BBB) [23]. 5-HT (serotonin) is one of the important indoleamine neurotransmitters linking the "gut-brain" axis. The disorder of the 5-hydroxytryptamine neurotransmitter system may lead to symptoms such as emotional and cognitive dysfunction, and metabolic disorders [65]. Microglia can maintain brain homeostasis. In pathological conditions, they will release pro-inflammatory factors (such as IL-6 and TNF-α), which in turn damage neurons and cause learning and memory dysfunction. Lipopolysaccharide (LPS) is present in the hippocampus and the neocortex of the temporal lobe of AD patients, and it has extremely strong pro-inflammatory ability [66, 67]. As AD patients age, intestinal function and the levels of pathogenic bacteria decline, resulting in a decrease in the levels of anti-inflammatory bacteria in the gut and an increase in the production of LPS, which further causes chronic inflammation in the intestine. Meanwhile, studies have also shown that LPS can increase the permeability of the intestine, disrupt the blood–brain barrier, activate microglia in the brain, and increase the release of IL-6 and TNF-α, leading to inflammation in the nervous system and accelerating the development process of neurodegenerative diseases [68]. Claudin and Occludin can regulate the permeability of the barrier and play a crucial role in maintaining the normal physiological functions of the intestinal barrier and the blood–brain barrier [69]. The hyperphosphorylation of Tau protein within neurons forms p-Tau, leading to the formation of neurofibrillary tangles, which can cause neuronal dysfunction and death. The damage to neurons will activate astrocytes, causing them to proliferate massively and upregulate the expression of GFAP [70].
To further confirm that OE can improve memory impairment (MD) by regulating the gut-brain axis, we detected the levels of TMAO, 5-HT, LPS, TNF-α, and IL-6 in brain and colon tissues, and performed Spearman correlation analysis between these substances, gut microbiota, and glycerophospholipid metabolites. Subsequently, we verified the permeability of the gut-brain barrier by detecting the protein levels of Occludin and Claudin-5. The research results showed that after induction with D-galactose combined with aluminum chloride, the levels of TMAO in the serum, brain, and colon of MD mice increased significantly, suggesting that memory impairment may affect the disorder of gut microbiota, leading to an increase in the level of TMAO and a decrease in the content of 5-HT in the gut. It further passes through the blood–brain barrier, causing nerve damage in the brain and aggravating memory impairment. After treatment with the oligosaccharide esters of OE, the content of TMAO can be significantly reduced, the level of 5-HT can be increased, and the damage of memory impairment can be alleviated. The levels of TNF-α and IL-6 in the brain and colon tissues of MD mice increased significantly, while OE can significantly reduce the levels of TNF-α and IL-6. The significant increase of LPS in the brain and colon tissues indicates an increase in intestinal permeability. This result suggests that the combination of D-galactose and aluminum chloride may lead to an increase in intestinal permeability. After administration of OE, the content of LPS decreased, indicating that OE can reduce microbiota-derived LPS and decrease the intestinal permeability of mice. At the same time, the inflammatory response and oxidative stress always coexist in diseases, and they promote and accelerate the development of diseases mutually, which further proves the anti-oxidative stress effect of OE. In addition, the results of the Spearman correlation analysis showed that under pathological conditions, the changes in the abundances of Firmicutes, Ligilactobacillus, and unclassified Muribaculaceae in the gut microbiota have a significant impact on memory impairment, which may lead to the expression of related factors in the brain and colon tissues and cause abnormal lipid metabolism. OE can improve MD by regulating the relative abundances of these microbiota and influencing the levels of TMAO, 5-HT, LPS, TNF-α, and IL-6 in the brain and colon tissues. This indicates that OE can improve MD by stabilizing the gut microbiota. The level of TMAO in brain tissue shows a negative correlation pattern, which suggests that under pathological conditions, changes in the abundances of Firmicutes, Ligilactobacillus, and unclassified Muribaculaceae have a significant impact on MD. These changes may affect the concentrations of 5-HT and TMAO in the brain and colon tissues. Significant alterations in the gut microbial metabolite TMAO and the neurotransmitter 5-HT may lead to MD, causing ecological imbalances of Ligilactobacillus, Firmicutes, and unclassified Muribaculaceae, which in turn result in damage to the intestinal mucosa. These disruptions can cross the blood–brain barrier, causing neuronal damage and exacerbating MD. The results of Western Blot (WB) showed that the levels of Occludin and Claudin-5 in the brain and colon tissues of MD mice decreased significantly, indicating an increase in the permeability of the intestinal and brain barriers. After treatment with the oligosaccharide esters of OE, the intestinal and brain barriers were significantly protected, and memory impairment was improved [71].
Immunohistochemical results showed that OE significantly reduced p-Tau and GFAP levels in the brains of MD mice. The increased p-Tau in the model group confirmed the successful induction of aging- and oxidative stress-related neurodegenerative changes in this memory impairment model. Hyperphosphorylation of tau protein has been reported to be associated with abnormal lipid metabolism in cognitive impairment [33]. OE administration inhibited p-Tau levels, demonstrating its ability to suppress tau phosphorylation in this model. The GFAP results indicated that OE alleviated neuroinflammation and exerted neuroprotective effects in MD mice. Collectively, these findings suggest that OE may improve memory impairment by restoring lipid metabolic homeostasis and reducing neuroinflammation in this D-galactose/AlCl₃-induced memory impairment model.
To further clarify the mechanism by which OE regulates the gut–brain axis to ameliorate memory impairment, this study employed fecal microbiota transplantation (FMT) to target the gut microbiota and investigate its mediating role in the neuroprotective effects of OE.
After establishing a mouse model of memory impairment using aluminum trichloride combined with D-galactose, the MD mice exhibited significant cognitive deficits. FMT intervention significantly shortened the escape latency in the Morris water maze, increased the time spent in the target quadrant, increased the number of platform crossings, and increased the exploration distance in the original platform area, which was consistent with the effects observed following OE intervention. These findings indicate that transplanting the gut microbiota from OE-treated mice can improve cognitive function, thereby verifying the role of the gut microbiota in OE-mediated alleviation of learning and memory impairment.
Histopathological examination of brain tissue revealed that in the model group, neurons in the hippocampal CA1, CA3, and DG regions exhibited disorganized arrangement, pronounced nuclear pyknosis, and extensive loss and dissolution of Nissl bodies, indicating neuronal damage and functional impairment. Both FMT and OE interventions significantly restored neuronal morphology and structure, increased neuronal cell count, alleviated nuclear pyknosis, and upregulated the expression level of Nissl bodies. This suggests that modulation of the gut microbiota can reduce neuronal pathology, repair brain tissue damage, and further facilitate the improvement of cognitive function.
H&E staining of colon tissue showed that model mice exhibited severe intestinal pathological damage, including epithelial shedding, inflammatory infiltration, glandular atrophy, and crypt loss. FMT significantly repaired the colonic mucosal structure, reduced inflammatory infiltration, and increased the number of goblet cells, with results consistent with those of OE intervention. This indicates that the ameliorative effect of OE on intestinal tissue damage is closely related to the regulation of the gut microbiota.
Measurement of inflammatory factors in colon and brain tissues revealed that the levels of LPS, TNF-α, and IL-6 were significantly elevated in both the colon and brain of model mice, suggesting concurrent activation of intestinal inflammation and neuroinflammation. FMT treatment reduced the levels of pro-inflammatory factors in both the colon and brain, with effects comparable to those of OE, demonstrating that the gut microbiota can achieve remote regulation of brain function by suppressing inflammation in both the colon and brain tissues. Meanwhile, FITC-dextran permeability assays confirmed that FMT significantly reduced intestinal permeability and decreased the entry of endotoxins into the bloodstream, further illustrating that intestinal barrier repair is a key link through which the gut microbiota regulates inflammation and connects the gut to the brain.
It should be noted that this study also established a group treated with a four-antibiotic cocktail to deplete the gut microbiota. The results showed that after microbiota depletion, the effects of OE in improving cognition, reducing intestinal permeability, and exerting anti-inflammatory effects were significantly weaker than those in the direct OE intervention group, demonstrating that the pharmacological effects of OE depend on the integrity of the gut microbiota. Furthermore, antibiotic treatment did not significantly affect the success rate of model establishment, indicating that the intervention protocol of this study is stable and reliable.
In conclusion, the oligosaccharide esters of Polygala tenuifolia can enhance the ability of anti-oxidative stress and neuroprotection, and improve the learning and spatial memory abilities of mice with memory impairment. Its mechanism of action may be related to improving the "gut-brain" barrier, reducing the content of brain microbiota metabolites and the levels of inflammatory factors, restoring the homeostasis of the gut microbiota, improving intestinal inflammation, and affecting glycerophospholipid metabolism.
| No. | Common name | Formula | M/Z | Rt(min) | Reference ion | HMDB-ID | Main class | DeltaMass (ppm) | Control/model | OEH/model |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Palmitic amide | C16H33NO | 256.26352 | 12.79 | [M + H] + 1 | HMDB0012273 | FA | 0.14 | ↓∆∆ | ↓∆ |
| 2 | FEMA 2861 | C12H16O2 | 191.10699 | 8.269 | [M − H] − 1 | HMDB0035014 | FA | -2.61 | ↓∆∆ | ↓∆∆ |
| 3 | Hexanoic acid | C13H26NO4 | 259.15433 | 8.005 | [M + H] + 1 | HMDB0000756 | FA | 0.73 | ↓∆∆ | ↓∆∆ |
| 4 | 20-COOH-LTB4 | C20H30O6 | 367.20959 | 8.449 | [M + H] + 1 | HMDB0006059 | FA | 4.88 | ↓∆ | ↓∆ |
| 5 | Lauramide dea | C16H33NO3 | 288.25341 | 8.906 | [M + H] + 1 | HMDB0032358 | FA | 0.31 | ↓∆ | ↓∆ |
| 6 | Cis-3-Hexenyl trans-4-hexenoate | C12H20O2 | 197.15396 | 7.424 | [M + H] + 1 | HMDB0031692 | FA | 1.51 | ↓∆∆ | ↓∆ |
| 7 | LTB4 Ethanol amide | C22H37NO4 | 379.30589 | 7.391 | [M + H] + 1 | HMDB0002304 | FA | 4.84 | ↑∆∆ | ↑∆∆ |
| 8 | Palmitoleoyl-EA | C18H35NO2 | 297.24379 | 13.935 | [M − H] − 1 | HMDB0013648 | FA | 0.91 | ↓∆ | ↓∆ |
| 9 | Nisinic acid | C24H36O2 | 356.27966 | 8.5 | [M + H] + 1 | HMDB0002007 | FA | -3.41 | ↓∆∆ | ↓∆ |
| 10 | MG(0:0/18:1) | C21H40O4 | 356.28002 | 8.485 | [M + H] + 1 | HMDB0011537 | GL | -6.22 | ↓∆ | ↓∆ |
| 11 | LyPC(22:2) | C30H58NO7P | 575.38124 | 6.747 | [M + H] + 1 | HMDB0010400 | GP | -3.96 | ↑∆∆ | ↑∆ |
| 12 | LPA(0:0/20:4n6) | C23H39O7P | 457.23687 | 15.269 | [M − H] − 1 | HMDB0012496 | GP | -1.96 | ↓∆ | ↓∆∆ |
| 13 | PC(16:0/22:6) | C46H82NO7P | 396.80194 | 5.822 | [M + 2H] + 2 | HMDB0013409 | GP | 1.09 | ↓∆∆ | ↓∆∆ |
| 14 | GPEA | C5H14NO6P | 216.06367 | 0.815 | [M + H] + 1 | HMDB0000114 | GP | 2.43 | ↓∆∆ | ↓∆∆ |
| 15 | PC(38:4) | C46H84NO8P | 405.80723 | 5.331 | [M + 2H] + 2 | HMDB0007988 | GP | 1.07 | ↑∆∆ | ↑∆ |
| 16 | LyPC(18:3/0:0) | C26H48NO7P | 517.31796 | 8.793 | [M − H] − 1 | HMDB0010388 | GP | 5.34 | ↓∆ | ↓∆ |
| 17 | LysoPE(0:0/16:0) | C21H44NO7P | 452.27893 | 9.884 | [M − H] − 1 | HMDB0011473 | GP | 1.61 | ↑∆∆ | ↑∆ |
Limitations
This study provides evidence that OE improves memory disorder via the gut-brain axis, yet several limitations remain. First, while FMT confirmed the necessity of gut microbiota, the specific microbial taxa responsible for the therapeutic effects were not verified by monocolonization or defined consortia experiments, leaving the causality between individual bacterial species and neuroprotection unclear. Second, the D-galactose/AlCl3-induced model recapitulates certain aspects of cognitive impairment but does not fully represent the complex pathologies of Alzheimer's disease, such as Aβ aggregation or tau hyperphosphorylation; whether OE exerts similar effects in transgenic AD models remains unknown. Third, our multi-omics analysis revealed associations between gut microbiota, glycerophospholipid metabolites, and neuroprotective outcomes but did not establish direct molecular mechanisms. Future studies will address these gaps by performing monocolonization of key bacteria, validating OE efficacy in transgenic AD models, and conducting targeted pathway interventions to clarify causality.