What this is
- This research investigates the relationship between soluble TREM2 () levels in cerebrospinal fluid (CSF) and Alzheimer's disease (AD) pathology.
- The study analyzes data from 1027 participants in the Alzheimer's Disease Imaging Initiative (ADNI) using the framework.
- Findings reveal that levels increase with tau-related neurodegeneration but decrease in early asymptomatic stages with only amyloid pathology.
Essence
- Increased CSF levels correlate with tau-related neurodegeneration in Alzheimer's disease, while amyloid pathology alone is associated with decreased levels.
Key takeaways
- CSF levels differ based on TREM2 genetic variants; specifically, the p.R47H variant shows higher levels, while p.L211P shows lower levels compared to non-carriers.
- In early symptomatic stages of Alzheimer's, CSF levels rise, but they decrease in the earliest asymptomatic phase characterized by abnormal amyloid pathology without tau or neurodegeneration.
- The study confirms that tau-related neurodegeneration increases levels, while amyloid pathology without neurodegeneration leads to lower levels.
Caveats
- This study is cross-sectional, and longitudinal studies are needed to confirm the findings over time.
- CSF biomarkers may not fully reflect neurodegeneration, as physiological tau production could influence T-tau levels.
Definitions
- sTREM2: Soluble TREM2, a protein released from microglia, serves as a marker for microglial activity and response to neurodegeneration.
- A/T/N classification: A biomarker framework categorizing Alzheimer's disease based on amyloid (A), tau (T), and neurodegeneration (N) pathology.
Simplified
Background
The triggering receptor expressed on myeloid cells 2 (TREM2) is an innate immune receptor that is expressed on the plasma membrane of microglia in the central nervous system (CNS) [1]. TREM2 is involved in key functions of microglia including phagocytosis, cytokine release, lipid sensing and microglia proliferation and migration [2–6]. TREM2 mutations strongly increase the risk of developing Alzheimer’s disease (AD) [7, 8] and other neurodegenerative diseases including frontotemporal dementia (FTD), Parkinson’s disease and amyotrophic lateral sclerosis [9–12]. Furthermore, homozygous loss-of-function mutations in TREM2 are sufficient to cause Nasu-Hakola disease (NHD) and FTD-like syndrome [13, 14]. Together, this suggests that abnormal TREM2 function plays an essential role across different neurodegenerative diseases.
TREM2 is a type-1 transmembrane protein that matures within the secretory pathway and its ectodomain is shed at the plasma membrane [2, 15]. Soluble TREM2 (sTREM2) accumulates in conditioned media of cultured cells and in biological fluids such as plasma and cerebrospinal fluid (CSF) [2, 16]. Shedding is mediated by ADAM10 and 17 C-terminal to histidine 157 [2, 15, 17–19]. Homozygous mutations causing NHD or FTD-like syndrome (such as p.T66M) retain misfolded TREM2 in the endoplasmic reticulum, preventing its maturation and its cleavage on the plasma membrane. Patients bearing these mutations have undetectable levels of sTREM2 in CSF and blood [2, 20, 21].
The fact that TREM2 is selectively expressed in microglia in the CNS and is associated with AD and neurodegeneration, let us hypothesize that sTREM2 in CSF may be a marker for microglia function and its response to Aβ and tau pathology and neurodegeneration. Specifically, sTREM2 may reflect the amount of signaling competent TREM2 on the surface of activated microglia. This idea is supported by the fact that the levels of sTrem2 in the brain of an Aβ mouse model correlate with TSPO small animal positron emission tomography (μPET) signal [22], a marker of microglial activation, and the fact that a knock-in mouse model bearing the Trem2 p.T66M mutation has decreased microglial activity [20].
We and others have previously reported changes in the levels of CSF sTREM2 in AD compared to controls [2, 21, 23–26]. Specifically, we found a disease-stage dependent increase in CSF sTREM2 peaking within the early symptomatic stages of late-onset AD [25]. In autosomal dominant AD (ADAD) assessed within the Dominantly Inherited Alzheimer Network (DIAN) project [26], we demonstrated that CSF sTREM2 was increased in mutation carriers compared to non-carriers five years before the estimated years from symptom onset (EYO), but with a considerable delay after the development of Aβ pathology, which emerged about 10-15 years earlier. Together, these studies suggest a complex association of CSF sTREM2 as a function of disease evolution, in which CSF sTREM2 dynamically changes as disease progresses and reaches its highest levels between the later asymptomatic and earlier symptomatic stages, when neurodegeneration has already started.
An important unanswered question in this regard concerns the association between CSF sTREM2 and primary pathologies including Aβ and tau deposition, as well as neurodegeneration during the course of AD. Therefore, we used herein the biomarker-based A/T/N classification system [27], which is the foundation of the recently proposed 2018 NIA-AA research Framework [28]. This classification system consists of three biomarker dimensions including the assessment of Aβ pathology (A), tau pathology (T), and neurodegeneration (N). In the present study, we investigated CSF sTREM2 levels at different AD biomarker-defined groups following the A/T/N classification and the clinical stage (as defined by the clinical dementia rating score, CDR) in participants of the well-characterized ADNI study. This approach allowed us to test the two main aims of this study. First, to assess the association of CSF sTREM2 with Aβ pathology and its downstream pathological processes (i.e. tau pathology and neurodegeneration). Second, to assess the changes on CSF sTREM2 that occur in the Alzheimer’s continuum and hence replicate ours and others findings in the ADNI cohort [23–26, 29].
Methods
ADNI Participants and study design
This is a cross-sectional study in which CSF sTREM2 was measured in 1031 participants of the ADNI project. Among them, 4 individuals did not have the AD core biomarkers measurements and were further excluded from the analysis, rendering a study sample of 1027 subjects. The CSF sTREM2 measurements were uploaded to the ADNI database (http://adni.loni.usc.edu↗) on 16/03/2018 and the data used in this study was downloaded on 21/03/2018. The ADNI project (http://www.loni.usc.edu↗ /) is a multicenter longitudinal study led by Principal Investigator Michael W Weiner with the main goal to develop and validate biomarkers for subject selection and as surrogate outcome measures in late-onset AD [30]. The institutional review boards (IRB) of all participating centers approved the procedures of the study and all participants or surrogates provided informed consent. Our local IRB (LMU) also approved the study.
Clinical classification
In line with the recently published 2018 NIA-AA “research framework” for the diagnosis of Alzheimer’s disease [28], we assigned each ADNI participant in a group defined by its biomarker profile, as described by the A/T/N scheme [27], coupled with its cognitive status, as defined by the CDR score [31]. The A/T/N scheme comprises 3 biomarker groups: “A” refers to aggregated Aβ, “T” aggregated tau and “N” to neurodegeneration. Each biomarker group is binarizied in negative (-) or positive (+) based on whether their biomarkers are normal or abnormal. In the present study, we assigned “A+” to those individuals that had a CSF Aβ1-42 < 976.6 pg/ml, “T+” to those individuals with P-tau181P > 21.8 pg/ml and “N+” to those individuals with T-tau > 245 pg/ml. We merged the aggregated tau (T) and neurodegeneration (N) groups in order to decrease the number of groups to be compared. TN negative (TN-) was defined as having both the aggregated tau (T) and neurodegeneration (N) biomarkers in the normal range (T- and N-, that is P-tau181P ≤ 21.8 pg/ml and T-tau ≤ 245 pg/ml). Participants were classified as TN positive (TN+) if either aggregated tau (T) or neurodegeneration (N) were abnormal (T+ or N+, that is P-tau181P > 21.8 pg/ml or T-tau > 245 pg/ml). Only 5.4% of the individuals of the total differed between the T and N biomarkers groups.
Alzheimer’s disease CSF core biomarkers and CSF sTREM2 measurements
In the present study, we used the AD CSF core biomarkers measurements performed with the Elecsys® total-tau CSF, the Elecsys® phosphotau(181P) CSF and the Elecsys® β-amyloid(1–42) CSF immunoassays on a cobas e 601 instrument [39, 40]. The data is available in the ‘UPENNBIOMK9.csv’ file in the ADNI database. These immunoassays are for investigational use only. They are currently under development by Roche Diagnostics and not commercially available yet. The analyte measuring ranges (lower technical limit to upper technical limit) of these assays are the following: 80 to 1300 pg/ml for total-Tau CSF, 8 to 120 pg/ml for phosphor-Tau(181P) CSF, and 200 to 1700 pg/ml for Elecsys® β-Amyloid(1-42) CSF immunoassays. The measuring range of the Elecsys® β-Amyloid(1-42) CSF immunoassay beyond the upper technical limit has not been formally established. Therefore use of values above the upper technical limit, which are provided based on an extrapolation of the calibration curve, is restricted to exploratory research purposes and is excluded for clinical decision making or for the derivation of medical decision points.
CSF sTREM2 measurements were done with a MSD platform-based assay, previously reported and validated [2, 25, 26]. A comprehensive description of the assay is shown in Supplementary methods (see Additional file 1: Supplementary methods). The CSF sTREM2 measurements are publicly available in the ADNI database.
Cell culture and transient transfection of HEK293T cells
HEK293T cells were cultured in DMEM with Glutamax I supplemented with 10 % (v/v) fetal calf serum (FCS) and 1 % penicillin/streptomycin. 24 hours after seeding, cells were transiently transfected with equal amounts of DNA coding for the different TREM2 variants using Lipofectamine 2000 as the transfection reagent. TREM2 variant constructs were generated by site-directed mutagenesis (Stratagene) of a TREM2 wt construct bearing N- and C-terminal HA and FLAG tags, respectively, as previously described [2]. All constructs were verified by DNA sequencing (GATC Biotech). We collected the conditioned media 48 hours after transfection. Cellular debris was removed by centrifugation at 4°C (13300 rpm, 20 min). Supernatants were subsequently frozen at -20°C until analyses were performed. Cell culture reagents were purchased from Thermo Fisher Scientific unless otherwise noted.
We measured the concentrations of HA-labeled TREM2 protein in the HEK293T conditioned media by two different ELISAs. First, sTREM2 concentrations were determined by the same ELISA used to measured sTREM2 in the human CSF samples, which includes a detection antibody against sTREM2 (see Additional file: Supplementary methods). Second, it was measured by a MSD platform-based including an antibody against the HA-tag. This second assay follows the same protocol as the first one but with the following modifications. The detection antibody is a monoclonal rat IgG anti-HA peptide sequence (YPYDVPDYA), clone 3F10 (Roche, Cat. No. 11 867 423 001; 100 ng/mL, 50 μL/well); the secondary antibody is a SULFO-TAG-labeled goat polyclonal anti-rat IgG antibody (MSD, Cat. no. R32AH-1; 0.5 μg/mL, 25 μL/well). The samples were diluted 1:50 and 1:100 in assay buffer [0.25% BSA and 0.05% Tween 20 in PBS (pH = 7.4)], supplemented with protease inhibitors (Sigma; Cat. no. P8340) and measured in duplicates for each dilution. We acquired the electrochemiluminescence response values using the MESO QuickPlex SQ 120. We compared the signal of the sTREM2 ELISA with that of the HA-tag assay for each of the TREM2 rare variants. The percentage between these two assays renders a relative affinity of the sTREM2 ELISA to each of the TREM2 rare variants in relation to its respective HA-tag control. 1
Statistical analysis
CSF sTREM2 did not follow a normal distribution (Kolmogorov-Smirnov test: P < 0.0001) and were hence log10-transformed. After transformation, CSF sTREM2 followed a normal distribution as assessed by Kolmogorov-Smirnov test (P = 0.200) and visual inspection of the histogram. All the statistical analysis described in this study are performed with the log10-transformed values.
A one-way analysis of covariance (ANCOVA) was conducted to determine statistically significant differences on CSF sTREM2 between TREM2 rare variants carriers and the non-carriers’ individuals adjusting for the effect of age, followed by a Bonferroni corrected post hoc pairwise comparison. Only those groups of TREM2 rare variants carriers that comprise more than 1 subject were included in the analysis.
The following analyses were conducted excluding outliers’ values of CSF sTREM2, defined as values differing 3 standard deviations from the mean. There were 5 outliers: 2 subjects classified as ‘Preclinical AD A+TN-’ (1 a TREM2 rare variant carrier and 1 a non-carrier), 1 classified as ‘CDR = 0.5 A+TN-’ (TREM2 rare variant carrier), 1 classified as ‘AD CDR = 0.5’ (TREM2 rare variant carrier), 1 classified as ‘AD CDR = 1’ (non-carrier). Including or excluding these outliers do not change the findings of this study.
To study the association of CSF sTREM2 with demographic and genetic data, we computed a linear regression model with CSF sTREM2 as an outcome variable and age, gender and APOE ε4 status as fixed effects. Since only age showed to be a significant predictor of CSF sTREM2, the following analyses were conducted including only age as a covariate.
To test the differences in CSF sTREM2 across biomarker profiles in the A/T/N framework, we applied a one-way ANCOVA including age as covariate, followed by Bonferroni corrected post hoc pairwise comparisons. A similar approach was used to test whether CSF sTREM2 changes across the Alzheimer’s continuum. These analyses were performed including or excluding individuals carrying a TREM2 rare variant and yielded similar results.
Finally, we studied the association between CSF sTREM2 and each of the CSF core biomarkers for AD (T-tau, P-tau181P, Aβ1-42) with a multiple linear regression adjusted for age. The analysis was conducted separately in the healthy controls, Alzheimer’s continuum and SNAP groups. We performed the analysis both including or excluding outliers (defined as AD CSF core biomarkers 3 standard deviations below or above the group mean) in order to exclude that the associations were driven by extreme values. The analysis with and without outliers rendered similar results. For CSF Aβ1-42, the analyses were performed using both the truncated values at the upper technical limit and the exploratory measurements available based on the extrapolation of the calibration curve. In the main text, we report the results using the extrapolated measurements, but using the truncated ones yielded similar results.
Statistical analysis was performed in SPSS IBM, version 20.0, and the free statistical software R (http://www.r-project.org↗ /). Figures were built using GraphPad Prism or free statistical software R. All tests were 2-tailed, with a significance level of α = 0.05.
Results
Association of CSF sTREM2 with genetic and demographical data
CSF sTREM2 in ADNI participants carrying arare variant. TREM2 Scatter plot representing the levels of CSF sTREM2 in carriers of arare variant, compared to the non-carriers ADNI participants. Solid bars represent the mean and the standard deviation (SD).-values were assessed by a one-way ANCOVA adjusted for age, followed by Bonferroni correctedpairwise comparisons between thevariants carriers’ groups and the non-carriers. We did not include in the comparison those rare variants with only one subject (p.R62H/p.D87N and p.H157Y). TREM2 P post hoc TREM2
| Non-carriers (= 984)n | p.R62H (= 20)n | p.R47H (= 7)n | p.L211P (= 11)n | p.D87N (= 3)n | p.R62H/D87N (= 1)n | p.H157Y (=1)n | |
|---|---|---|---|---|---|---|---|
| Age, y | 73.1 (7.35) | 74.7 (6.47) | 73.5 (11.3) | 72.8 (4.36) | 72.7 (6.17) | 66.4 | 73.1 |
| Female, n (%) | 430 (43.7) | 11 (55.0) | 3 (42.9) | 6 (54.5) | 0 | 0 | 1 |
| ε4 carriers,n (%)APOE | 467 (47.5) | 8 (40.0) | 5 (71.4) | 2 (18.2) | 2 (66.7) | 0 | 0 |
| Education, y | 16.0 (2.78) | 15.7 (2.39) | 15.6 (2.07) | 14.6 (2.54) | 17.0 (2.65) | 15 | 18 |
| CSF biomarkers (pg/ml) | |||||||
| T-tau | 289 (136) | 322 (140) | 353 (125) | 231 (119) | 299 (100) | 116 | 214 |
| P-tau181P | 27.9 (14.9) | 30.9 (15.6) | 36.4 (15.8) | 22.2 (12.7) | 27.9 (11.5) | 9.92 | 18.1 |
| Aβ1-42 | 982 (457) | 1073 (437) | 874 (454) | 1246 (515) | 944 (670) | 925 | 1700 |
| sTREM2 | 4136 (2171) | 3418 (1786) | 8790 (6136) | 2386 (1390) | 1981 (244) | 518 | 5642 |
| Associated diseases | na | AD | AD, FTD, PD, ALS | AD, FTD | AD | AD | AD |
| References | na | [,] [44] [45] | [–] [7] [12] | [,] [42] [43] | [] [7] | [,,] [7] [44] [45] | [] [56] |
| CDR = 0 (n = 291) | CDR = 0.5 (n = 587) | CDR = 1 (n = 104) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A-/TN-= 122)(n | A+/TN- (= 52)n | A+/TN+ (= 45)n | A-/TN+ (= 72)n | A-/TN- (= 118)n | A+/TN- (= 93)n | A+/TN+ (= 282)n | A-/TN+ (= 94)n | A-/TN- (= 2)n | A+/TN- (= 15)n | A+/TN+ (= 80)n | A-/TN+ (= 7)n | |
| Age, y | 72.5 (5.50) | 73.5 (5.95) | 76.3 (5.46) | 74.6 (6.56) | 69.9 (7.56) | 72.6 (7.74) | 73.3 (7.08) | 73.2 (8.16) | 89.2 (1.63) | 76.3 (6.05) | 74.1 (9.28) | 79.8 (8.02) |
| Female, n (%) | 58 (47.5) | 24 (46.2) | 24 (53.3) | 40 (55.6) | 55 (46.6) | 21 (22.6) | 119 (42.2) | 42 (44.7) | 0 (0) | 5 (33.3) | 40 (50.0) | 2 (28.6) |
| ε4 carriers, n (%)APOE | 17 (13.9) | 20 (38.5) | 27 (60.0) | 15 (20.8) | 24 (20.3) | 47 (50.5) | 216 (76.6) | 32 (34.0) | 0 (0) | 8 (53.3) | 59 (73.8) | 1 (14.3) |
| Education, y | 16.4 (2.79) | 16.0 (2.65) | 16.5 (2.55) | 16.4 (2.57) | 16.0 (2.68) | 16.1 (2.97) | 15.9 (2.90) | 15.9 (2.66) | 17.0 (0) | 16.2 (2.51) | 15.1 (2.80) | 15.0 (2.08) |
| CSF biomarkers, pg/ml* | ||||||||||||
| T-tau | 185 (32.2) | 167 (40.5) | 332 (79.3) | 322 (71.9) | 183.4 (38.2) | 173 (40.0) | 381 (136) | 338 (111) | 234 (6.08) | 188 (38.8) | 393 (136) | 489 (221) |
| P-tau181P | 16.2 (2.88) | 15.4 (4.07) | 33.3 (9.09) | 28.9 (7.43) | 15.8 (3.32) | 15.9 (4.14) | 38.9 (14.7) | 31.6 (13.7) | 19.3 (1.20) | 17.4 (3.53) | 39.2 (15.0) | 43.2 (22.9) |
| Aβ1-42 | 1456 (223) | 723 (196) | 717 (168) | 1538 (235) | 1428 (247) | 632 (196) | 634 (168) | 1427 (290) | 1330 (14.9) | 538 (185) | 570 (159) | 1484 (290) |
| sTREM2 | 3741 (1690) | 2835 (1524) | 4839 (2240) | 5378 (2147) | 3436 (1754) | 2791 (1292) | 4441 (2211) | 5478 (2370) | 5660 (2008) | 3051 (1128) | 3967 (2000) | 7619 (3539) |
Differences of CSF sTREM2 within the A/T/N classification of AD
In order to assess the impact of Aβ deposition or the downstream processes of the amyloid cascade (i.e. tau pathology and neurodegeneration), we applied the recently proposed A/T/N classification framework of AD, which proposes 3 binary biomarker groups [27]: (1) aggregated Aβ (A+/A-), (2) aggregated tau (T+/T-) and (3) neurodegeneration (N+/N-). Given that CSF T-tau and CSF P-tau181P were highly correlated, we merged the tau (T) and neurodegeneration (N) groups. ‘TN-’ profile was defined as both CSF P-tau181P and T-tau within the normal range, whereas ‘TN+’ was defined as abnormal levels of CSF P-tau181P or T-tau. Thus, we compared 4 different biomarker profiles within each clinical stage, namely: (1) A-/TN-, (2) A+/TN-, (3) A+/TN+ and (4) A-/TN+.
Within the CDR = 0.5 group (i.e. very mild dementia), there was also a significant difference between the four biomarker profiles (F3,582 = 40.7, P < 0.0001, ηp2 = 0.173) and the A+/TN- profile had also the significantly lowest CSF sTREM2 compared to either other biomarker profile (Fig 2). Both the A+/TN+ and the A-/TN+ biomarker profiles had significant higher CSF sTREM2 compared to the A-/TN- profile (Fig. 2). The CDR = 1 group did not yield a sufficient number of subjects per A/T/N profile to allow for a group comparison.
We repeated the former analysis also including the individuals with TREM2 rare variants (n = 43; demographics in Table S1, see Additional file 1) and this did not change our conclusions derived from the main analysis (Fig. 2).
We also repeated the same analysis classifying the participants based only on their Aβ pathology (A; CSF Aβ1-42) and tau pathology status (T; CSF P-tau181P), that is A/T classification, or based only on their Aβ pathology (A; CSF Aβ1-42) and neurodegeneration status (N; CSF T-tau), that is A/N classification. The results are shown in Figure S2 (see Additional file 1) and they are similar to those shown with the A/TN classification of the main text. Thus, we conclude that the pathological processes that are downstream of Aβ pathology, both tau pathology and neurodegeneration, are associated with increased CSF sTREM2.
CSF sTREM2 in the A/T/N framework. Scatter plot depicting the levels of CSF sTREM2 for each of the four biomarker profiles, as defined by the A/T/N framework, coupled with clinical staging, as defined by CDR. The biomarkers groups T (tau pathology) and N (neurodegeneration) were merged in order to reduce the number of groups to compare. The CDR = 1 stage includes some biomarker profiles will low number of subjects, which precludes performing statistical analysis. They are still shown in the figure for sake of completeness. Each biomarker category is represented in a different colour: healthy controls are depicted in blue, Alzheimer’scategory in red, SNAP category in green, and purple depicts biomarker profiles not assigned in a specific category in the present study. The analysis reported in the main text was conducted excluding therare variants carriers, thevalues are reported in bold, and the number of individuals (n) per group indicated. Including these carriers (depicted in yellow) rendered similar results (values reported between brackets). Solid bars represent the mean and the standard deviation (SD).-values were assessed by a one-way ANCOVA adjusted for age, followed by Bonferroni correctedpairwise comparisons. Abbreviations: A: Aβ pathology biomarker status; AD: Alzheimer’s disease; CDR: clinical dementia rating; CSF: cerebrospinal fluid; N: neurodegeneration biomarker status; SNAP: suspected non-Alzheimer’s pathology; T: tau pathology biomarker status. continuum TREM2 P- P- P post hoc
CSF sTREM2 changes across the Alzheimer’s continuum
CSF sTREM2 across the Alzheimer’s. Scatter plot showing the levels of CSF sTREM2 in healthy controls (depicted in blue) and the different stages of the Alzheimer’s(depicted in red). The main analysis was conducted excluding therare variants carriers, thevalues are reported in bold, and the number of individuals (n) per group indicated. Including these carriers (depicted in yellow) rendered similar results (values reported between brackets)-values were assessed by a one-way ANCOVA adjusted for age, followed by Bonferroni correctedpairwise comparisons. Abbreviations: A: Aβ pathology biomarker status; AD: Alzheimer’s disease; CDR: clinical dementia rating; CSF: cerebrospinal fluid; N: neurodegeneration biomarker status; SNAP: suspected non-Alzheimer’s pathophysiology; T: tau pathology biomarker status. continuum continuum TREM2 P- P- P post hoc
CSF sTREM2 is associated with T-tau and P-tau but not Aβ 1-42
Association of CSF sTREM2 and AD core CSF biomarkers. Scatter plots representing the associations of CSF sTREM2 with each of the AD CSF core biomarkers: T-tau (), P-tau(), and Aβ() in three different groups defined by the biomarker profile: healthy controls (blue), Alzheimer’s(red) and SNAP groups (green). The solid lines indicate the regression line and the 95% confidence interval for each of the groups. The standardized regression coefficients (β) and the-values are shown and were computed using a linear model adjusting for age, and are conducted excluding the outliers values. Including them, did not change the conclusions (see Additional file: Table S2). We also performed the analysis including the participants carrying arare variant (depicted in yellow) and the results were similar (see Additional file: Table S3). Abbreviations: Aβ: amyloid-beta 42; T-tau: total tau; P-tau: tau phosphorylated at Threonine 181; SNAP: suspected non-Alzheimer’s pathology. a b c 181P 1-42 1-42 continuum P TREM2 1 1
Discussion
In the present study, we assessed the microglial-activity marker CSF sTREM2 within the early phases of AD. To this end, we applied the biomarker-based A/T/N classification in combination with clinical staging [27]. The use of this classification system enabled us to unravel the effect of Aβ pathology and its downstream processes (i.e. tau pathology and neurodegeneration) on the levels of CSF sTREM2. Interestingly, they are differentially associated with CSF sTREM2. While pure Aβ deposition (as defined here as low CSF Aβ1-42) is associated with decreased CSF sTREM2, tau pathology or neurodegeneration (as defined here as increased CSF P-tau181P or CSF T-tau, respectively) are associated with an increase in CSF sTREM2. The higher CSF sTREM2 in the SNAP groups confirm that CSF sTREM2 rises with neurodegeneration without Aβ pathology.
Moreover, we show that the levels of CSF sTREM2 differ between TREM2 variants and they are increased in the p.R47H TREM2 variant compared to non-carriers, but decreased in the p.L211P variant and remained unchanged in the p.R62H variant, which is consistent with previous reports [24]. Increased levels of sTREM2 in the p.R47H variant were somewhat surprising; however, very little is known if that variant affects proteolytic processing of TREM2. In contrast, the increased levels of the p.H157Y variant is in line with our previous findings in cultured cells demonstrating that this variant increased shedding of TREM2 and therefore decreased TREM2 dependent phagocytosis [17]. A word of caution should be noted with the p.D87N variant, because the lower levels could be due, at least partially, to the lesser affinity of the antibody to this variant.
Among the strengths of this study are the large and well-characterized sample size and the use of a reliable assay to measure sTREM2. Yet, this study has some limitations. First, this is a cross-sectional study and the results need to be confirmed in a longitudinal setting. Second, we used the CSF biomarkers to classify the ADNI participants in the A/T/N classification. Although the role of CSF biomarkers in AD is well-established and a complete A/T/N characterization is possible only with CSF biomarkers, CSF T-tau may not necessarily reflect neurodegeneration but could result from physiological production of tau [46]. Here, we found CSF P-tau181P and CSF T-tau to be highly correlated (only 5.4% of all the ADNI participants had a discrepant T and N biomarker group), and consequently we merged the “T” (tau pathology) and “N” (neurodegeneration) groups. Importantly, the TN- group had normal levels of both T-tau and P-tau181P, which reasonably ensure that other comorbidities that may cause neural injury (and hence microglial activation) are excluded. A plethora of other biofluid and neuroimaging markers (i.e. Aβ and tau PET, blood and CSF neurofilament light protein, anatomic MRI and FDG-PET) are in principle applicable for the implementation of the A/T/N classification, and future studies using these biomarkers are needed to confirm our results.
The A/T/N classification used herein is a descriptive biomarker-based classification that does not assume any temporal sequence of events in AD and is independent of the clinical stage of the disease. By applying this classification framework, we found an unexpected observation, namely a decrease of CSF sTREM2 in individuals with evidence of Aβ pathology but without signs of tau pathology or neurodegeneration. We did not observe this finding in previous studies, probably due to the low number of participants in the preclinical stage of late-onset AD and because we did not apply the A/T/N classification [25]. Noteworthy, we previously observed in ADAD that CSF sTREM2 was lower in ADAD mutation carriers than in non-carriers at very early stages (EYO < -15; CSF T-tau becomes significantly increased in mutation carriers at EYO = -15), yet statistically non-significant [26]. In contrast, we show here that CSF sTREM2 increases as soon there are signs of we show here that CSF sTREM2 increases, both in the context of AD (that is with co-occurrence of Aβ pathology) or in the SNAP patients (where there is no Aβ underlying pathology). Consistent with these findings, CSF sTREM2 is distinctly associated with CSF T-tau and CSF P-tau181P, but not with CSF Aβ1-42. A word of caution is needed in the SNAP category, given that this is an heterogenous group that most likely exhibits a non-AD related neurodegeneration. Well-powered future studies should address how CSF sTREM2 changes in neurodegenerative diseases different from AD.
The flexibility of this new classification framework also enabled us to model the natural history of AD and confirm in the ADNI study our previous findings in participants of several European memory clinics [25] who were classified using the 2011 NIA-AA criteria [32–34, 36]. Herein, we demonstrate that, after the initial decrease of CSF sTREM2 in the ‘Preclinical AD A+/TN-’ group, CSF sTREM2 rise is the ‘Preclinical AD A+/TN+’group and in the early symptomatic stage (CDR = 0.5) of AD, albeit only statistically significant in the latter group. These findings therefore replicate our [25, 26] and other groups [23, 24, 29] previous findings in which an increase in CSF sTREM2 in early symptomatic AD was observed.
The mechanism underlying the dynamic changes of CSF sTREM2 throughout the course of the disease still need to be investigated. Several studies have consistently demonstrated that microglia upregulate TREM2 expression in AD mouse models and in human AD brains [3, 47, 48]. Moreover, detailed transcriptomics studies that investigated microglia in mouse models of AD and neurodegeneration showed that TREM2 is upregulated in the disease-associated microglia (DAM) [1, 49–53]. This is consistent with the finding of increased CSF sTREM2 in stages downstream of Aβ accumulation, that is when tau pathology and/or neurodegeneration occur and microglia may adopt their disease associated molecular signature. We were surprised, however, by the observation of an initial CSF sTREM2 decrease in the only Aβ-pathology stage, which corresponds to the earliest stage of the disease. The possible mechanisms behind this observation are still elusive. However, it has been described that microglia are activated in two steps with an initial TREM2-independent process followed by a TREM2-dependent process [49]. The CSF sTREM2 increase observed following the initially low levels may reflect the second step of activation. An alternative explanation would be that microglia initially forms a barrier around plaques [54, 55] and the sTREM2 released by microglia is retained within the plaque, until the barrier fails, and subsequent neural injury starts. Finally, it could also be argued that subjects with low TREM2-function (and hence lower CSF sTREM2 levels) are more prone to experience an accelerated early amyloidogenesis (Parhizkar et al. Nat. Neursci in press) and are therefore overrepresented in the Preclinical AD A+TN- group. Nevertheless, we are cognizant of the fact that this is an observational study and the findings reported herein do not elucidate precise mechanisms. Further work with longitudinal data is needed to address whether the stage-dependent changes in CSF sTREM2 predict a better or worse clinical outcome.
In conclusion, the present study represents the first attempt to study CSF sTREM2 based on the A/T/N classification framework. We demonstrate in the ADNI cohort that the increase in CSF sTREM2 which occurs in early stages parallels the increase in biomarkers of tau pathology and neurodegeneration. In contrast, Aβ deposition in the absence of tau deposition and neurodegeneration is associated with lower CSF sTREM2.
Additional file
Additional file 1:CSF sTREM2 measurement. Figure S1. Effects of rare TREM2 variants on antibody affinities. Figure S2. CSF sTREM2 in the A/T and in the A/N classifications. Table S1. Demographic and clinical characteristics of the entire sample. Table S2. Associations of CSF sTREM2 with AD CSF core biomarkers including the biomarkers outliers. Table S3. Associations of CSF sTREM2 with AD CSF core biomarkers including subjects carrying a TREM2 rare variant. (DOCX 1992 kb)