Evidence map›Paper›PMID 40947709›Full record

ArticleCurrent neuropharmacology2026

The Role of Gut Bacteria and Plasma Metabolites in Predicting Post-Stroke Depression in Patients with Acute Ischemic Stroke.

Lulu Wen, Tong Si, Chuming Yan, Huixin Shen, Wancheng Zheng, Meihong Xiu, Miao Qu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current neuropharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Lulu WenNeurology Department, Xuan Wu Hospital Capital Medical University, Beijing, China.
Tong SiNeurology Department, Beijing Shijitan Hospital, Beijing, China.
Chuming YanNeurology Department, Xuan Wu Hospital Capital Medical University, Beijing, China.
Huixin ShenNeurology Department, Xuan Wu Hospital Capital Medical University, Beijing, China.
Wancheng ZhengNeurology Department, Xuan Wu Hospital Capital Medical University, Beijing, China.
Meihong XiuBeijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China.
Miao QuNeurology Department, Xuan Wu Hospital Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEarly diagnosis of Post-Stroke Depression (PSD) is challenging. This study aimed to identify possible biomarkers in gut microbiota and plasma metabolites within 72 hours after Acute Ischemic Stroke (AIS) to predict PSD occurring 2 weeks later.

methodIn this study, 86 patients with AIS were observed within 3 days of stroke onset and followed up for 2 weeks. We collected the feces and plasma within 72 hours of AIS onset for 16S rRNA sequencing and liquid chromatography-mass spectrometry analysis, respectively.

resultsAt the genus level, PSD patients at 2 weeks following a stroke had a higher relative abundance of Blautia, Eubacterium_hallii_group, Tyzzerella, and a lower abundance of DISCUSSION: Our study identified potential biomarkers from clinical data, gut bacteria, and plasma metabolites that contribute to PSD. Within 72 hours after AIS, combining these biomarkers from all three sources showed preliminary ability to predict PSD at 2 weeks. Metabolites had the highest contribution, followed by gut bacteria and clinical data.

conclusionA biomarker panel including metabolites, gut microbiota, and clinical data within 72 hours after AIS onset could preliminarily predict PSD 2 weeks later.

Indexed as

DepressionGastrointestinal MicrobiomeIschemic StrokeStrokeAgedBiomarkersFecesFemaleHumansMaleMiddle AgedRNA, Ribosomal, 16SBiomarkersRNA, Ribosomal, 16SAcute Ischemic Stroke (AIS)biomarkersgut bacteriametabolitesPost-stroke depressionprediction

Identifiers

PMID40947709
PMCPMC13647685

What OpenQuestion holds

Textmetadata
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.