Evidence map›Paper›PMID 40692681›Full record

ArticleFrontiers in cellular and infection microbiology2025

Investigating potential links between gut microbiome, clinical parameters, and mortality in long-living male patients receiving multi-drug therapy.

Quanxin Wu, Hui Pan, Xianghua Zeng, Fei Xiong, Yongling Lv, Zhiwei Jiang, Jiahuan Li, Li Wang, Xiao Wang

Abstract read
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Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Quanxin WuSecond Division of Cadre Ward, General Hospital of Central Theater Command, Wuhan, China.
Hui PanSecond Division of Cadre Ward, General Hospital of Central Theater Command, Wuhan, China.
Xianghua ZengDepartment of Medical Oncology, Chongqing University Cancer Hospital and Chongqing Cancer Institute, Chongqing, China.
Fei XiongDepartment of Radiology. General Hospital of Central Theater Command, Wuhan, China.
Yongling LvMaintainbiotech Ltd., Wuhan, China.
Zhiwei JiangMaintainbiotech Ltd., Wuhan, China.
Jiahuan LiSecond Division of Cadre Ward, General Hospital of Central Theater Command, Wuhan, China.
Li WangSecond Division of Cadre Ward, General Hospital of Central Theater Command, Wuhan, China.
Xiao WangSecond Division of Cadre Ward, General Hospital of Central Theater Command, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Multimorbidity and polypharmacy are common in long-living patients and have been linked to alterations in gut microbiota. However, the prognostic relevance of these microbiota changes remains unclear in this population. We hypothesized that clinical parameters and gut microbial profiles are associated with survival outcomes. This exploratory study aimed to investigate the relationships between intestinal microbiota, clinical variables, and 18-month mortality in long-living male patients undergoing multi-drug therapy. Methods: 33 long-living male adults (mean age 94 ± 4 years) were enrolled. Upon admission, clinical parameters and stool samples were collected. The composition of intestinal microbiome was examined using 16S rRNA gene sequencing technology. Subsequently, the patients were categorized into death and no-death groups based on their survival status after 18 months. Risk factors associated with 18-month mortality in patients were evaluated. Results: The 18-month mortality rate was 48.5%. In this exploratory analysis, higher CIRS-G scores and creatinine levels were independently associated with mortality (HR: 1.323 and 1.007, respectively). CIRS-G had high prognostic value (AUC = 0.967). IL-6 levels and renal/hepatic/pancreatic comorbidities were also elevated in the death group. Notably, Conclusions: CIRS-G scores and serum creatinine levels demonstrated potential predictability for prognostic value in forecasting mortality among long-living male patients. Moreover, a potential association between CIRS-G score and intestinal microbiome was observed. These results underscore the intricate impact of comorbidities and polypharmacy on intestinal microbiome composition and clinical consequences. Clinically, the CIRS-G score could serve as a valuable tool for identifying high-risk elderly patients who may benefit from closer monitoring and individualized interventions. However, the small sample size, monocentric design, and potential confounders limit generalizability. These findings support further validation in larger cohorts.

Indexed as

Gastrointestinal MicrobiomeAgedAged, 80 and overBacteriaDrug Therapy, CombinationFecesHumansMalePolypharmacyPrognosisRisk FactorsRNA, Ribosomal, 16SRNA, Ribosomal, 16Sintestinal microbiomelongevitymortalitymultimorbiditypolypharmacy

Identifiers

PMID40692681
PMCPMC12277382

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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.