Evidence map›Paper›PMID 40804658›Full record

SynthesisBMC geriatrics2025

Metabolomic insights into late-life depression: a systematic review.

Yao Gao, Jian-Zhen Hu, Zhong-Ping Wen, Tao Dong, Xin-Zhe Du, Zhi-Fen Liu, Sha Liu

Abstract readSystematic Review
In one paragraph

Synthesis in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

7 authors.

Yao Gao *Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
Jian-Zhen Hu *Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
Zhong-Ping WenDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
Tao DongDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
Xin-Zhe DuDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.
Zhi-Fen LiuDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China. zhifenliu@sxmu.edu.cn.
Sha LiuDepartment of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China. liusha1984114@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late-life depression (LLD) is a prevalent mental health issue that significantly impacts the quality of life in the elderly population. In recent years, metabolomics has emerged as a novel research tool, offering fresh insights into the molecular mechanisms underlying LLD. This systematic review synthesizes metabolomic studies from January 2004 to March 2024, aiming to identify differential metabolites, explore diagnostic and predictive potential, and investigate aberrant metabolic pathways in LLD. A total of 12 relevant studies were included, revealing differential metabolites such as amino acids and fatty acids, as well as associated metabolic pathways. The study's findings provide insights into the prediction and diagnosis of LLD, highlighting the multifaceted metabolic disturbances associated with the condition. By synthesizing existing literature, we highlight the importance of metabolomic research in identifying biomarkers for LLD and potential therapeutic targets, addressing current gaps in understanding the pathophysiology of this condition.

Indexed as

DepressionMetabolomicsAgedBiomarkersHumansQuality of LifeBiomarkersAmino acid metabolismFatty acid metabolismLate-life depressionMetabolomics

Identifiers

PMID40804658
PMCPMC12344915

What Socratic 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 Socratic graph.