Evidence map›Paper›PMID 42668272›Full record

ArticleMolecular psychiatry2026

Gut microbiota and blood biomarkers as correlating factors in patients with postoperative delirium: analysis of three prospective observational studies.

Wenyu Song, Shrishti Singh, Wang Xiang, Kathryn Baldyga, Kali Stevens, Wei Qi, Júlio Ken Matsubara, Chang Ge, Hao Deng, Ji-Eun Kim and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Wenyu Song *Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, US.
Shrishti Singh *Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.ORCID http://orcid.org/0009-0009-2993-2323
Wang Xiang *Stem Cell Biology and Regenerative Medicine, University of Southern California, Los Angeles, CA, 90033, US.
Kathryn BaldygaDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.
Kali StevensDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.ORCID http://orcid.org/0000-0002-9504-502X
Wei QiDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.
Júlio Ken MatsubaraDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.
Chang GeDepartment of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, 55455, US.
Hao DengDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.
Ji-Eun KimDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.
Edward R MarcantonioDivisions of General Medicine and Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215, US.
Shiqian ShenDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US.ORCID http://orcid.org/0000-0003-0062-6831
Zhongcong XieDepartment of Anesthesiology, Critical Care and Pain Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin Street, Houston, TX, 77030, US. Zhongcong.Xie@uth.tmc.edu.
Yiying ZhangDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, 02129, US. yzhang37@mgh.harvard.edu.ORCID http://orcid.org/0000-0001-8416-8393

Funding

Phosphorylated Tau as Biomarkers of Perioperative Neurocognitive Disorder in Older AdultsR21AG081763 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI ZHANG, YIYING · 2023 to 2024
$480k
Microbiome Dysbiosis and Postoperative Delirium PathogenesisR21AG065606 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI SHEN, SHIQIAN, ZHANG, YIYING · 2020 to 2020
$459k
Microbiota, Immunity and Neurotoxicity of Anesthesia and SurgeryR35GM166431 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI Yiying Zhang · 2026 to 2026
$443k
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01 AG041274Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01 AG062509Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R01 AG098122Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R21 AG065606Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R21 AG081763Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R35 GM166431Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) RF1 AG070761NIA NIH HHS R21 AG065606NIA NIH HHS R21 AG081763NIGMS NIH HHS R35 GM166431
6 · The paper itself

Abstract

Postoperative delirium is associated with both gut microbiota alterations and Tau phosphorylation; however, how these factors interact and jointly contribute to postoperative delirium remains poorly understood. This prospective observational cohort study screened 491 patients aged ≥65 years undergoing elective laminectomy or hip or knee replacement under general or spinal anesthesia at Massachusetts General Hospital (2016-2020). The study aimed to assess the correlation between plasma Tau protein levels, specific gut microbiota, and the gut microbiota-derived metabolite indole-3-propionic acid (IPA) in participants with and without postoperative delirium. Exclusion criteria included major neurological disease, smoking history, sensory impairment, and recent antibiotic use. Delirium was assessed 24-48 h postoperatively. Out of 491 screened participants, 139 had blood biomarker data, and 86 had gut microbiota data included in the final analysis. Ten percent of the participants experienced postoperative delirium. Co-occurrence network analysis demonstrated that microbial interactions differed between postoperative delirium and non-postoperative delirium groups. Significant associations among gut microbiota, IPA, and Tau biomarkers were observed only in postoperative delirium participants. Additionally, three machine learning classifiers distinguished postoperative delirium cases from non-postoperative delirium cases with Area Under the Curve values above 50%. The results suggest that plasma Tau may interact with gut microbiota, and this interaction is associated with postoperative delirium, suggesting the involvement of a gut-blood-brain axis in postoperative delirium vulnerability. These findings implicate a microbiota-Tau interaction that may represent both a potential pathogenic mechanism and a therapeutic target for postoperative delirium pending confirmative studies. Furthermore, machine learning classifiers utilizing microbiome-derived features demonstrate a potential in distinguishing patients with and without postoperative delirium.

Identifiers

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.