Evidence map›Paper›PMID 39044521›Full record

ArticleThe journal of prevention of Alzheimer's disease2024

Association between Cerebrospinal Fluid sTREM2 Levels and Depression: The Alzheimer's Disease Neuroimaging Initiative Study.

Y Wang, M Ye, Q Ji, Q Liu, X Xu, Y Zhan

Abstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Y WangXiaowei Xu, Department of Neurology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China; E-mail: xuxw23@mail.sysu.edu.cn; Yiqiang Zhan, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China; E-mail: zhanyq8@mail.sysu.edu.cn.
M Ye
Q Ji
Q Liu
X Xu
Y Zhan

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

objectivePrevious studies demonstrated a significant protective effect of elevated cerebrospinal fluid (CSF) sTREM2 levels on brain structure and cognitive decline. Nonetheless, the role of sTREM2 in the depression progression remains unclear. This study aimed to investigate the association between CSF sTREM2 levels and longitudinal trajectories of depression.

methodsData from the Alzheimer's Disease Neuroimaging Initiative (ADNI) Study were used. CSF sTREM2 levels and depression were measured using an ELISA-based assay and the Geriatric Depression Scale (GDS-15), respectively. Linear mixed-effect models were employed to assess the relationships between CSF sTREM2 levels and GDS scores.

resultsA total of 1,017 participants were enrolled at baseline, with a mean follow-up time of 4.65 years. Baseline CSF sTREM2 levels were negatively correlated with GDS scores (β=-0.21, P=0.022) after adjustment for age, gender, race/ethnicity, education, APOE ε4 carrier status, TREM2 rare variant carrier status, marital status, smoking, and clinical cognitive status.

conclusionOur findings suggested that a higher level of CSF sTREM2 was associated with a lower risk of depression.

Indexed as

Alzheimer DiseaseDepressionMembrane GlycoproteinsReceptors, ImmunologicAgedAged, 80 and overBiomarkersCognitive DysfunctionFemaleHumansMaleNeuroimagingBiomarkersMembrane GlycoproteinsReceptors, ImmunologicTREM2 protein, humanAlzheimer’s diseaseCSF sTREM2depressionGDS

Identifiers

PMID39044521
PMCPMC12275841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.