Evidence map›Paper›PMID 40211390›Full record

ArticleJournal of translational medicine2025

Characterization of gut microbiota and metabolites in renal transplant recipients during COVID-19 and prediction of one-year allograft function.

Zijie Wang, Xiang Gao, Hongsheng Ji, Ming Shao, Bin Ni, Shuang Fei, Li Sun, Hao Chen, Ruoyun Tan, Mulong Du and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 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

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.

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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

11 authors.

Zijie Wang *Department of Urology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
Xiang Gao *Department of Urology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
Hongsheng Ji *Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Ming ShaoDepartments of Environmental Genomics and Genetic Toxicology, the Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
Bin NiDepartment of Urology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China.
Shuang FeiDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Li SunDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Hao ChenDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.
Ruoyun TanDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China. tanruoyun112@vip.sina.com.
Mulong DuDepartment of Urology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China. drdumulong@njmu.edu.cn.
Min GuDepartment of Urology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, China. lancetgu@aliyun.com.ORCID 0000-0003-1054-9200

Funding

National Natural Science Foundation of China 82170769
6 · The paper itself

Abstract

backgroundThe gut-lung-kidney axis is pivotal in immune-related kidney diseases, with gut dysbiosis potentially exacerbating the severity of Coronavirus disease 2019 (COVID-19) in recipients of kidney transplant. This study aimed to characterize the gut microbiome and metabolome in renal transplant recipients with COVID-19 pneumonia over a one-year follow-up period.

methodsA total of 30 renal transplant recipients were enrolled, comprising 17 with COVID-19 pneumonia, six with mild COVID-19, and seven without COVID-19. Fecal samples were collected at the onset of infection for gut microbiome and metabolome analysis. Generalized Estimating Equations (GEE) model and Latent Class Growth Mixed Model (LCGMM) were employed to dissect the relationships among clinical characteristics, laboratory tests, and gut microbiota and metabolites.

resultsFour microbial phyla (Deferribacteres, TM7, Fusobacteria, and Gemmatimonadetes) and 13 genera were significantly enriched across three recipients groups, correlating with baseline inflammatory response and allograft function. Additionally, 52 differentially expressed metabolites were identified, with seven significantly correlating with eight altered microbiota genera. LCGMM revealed two distinct classes of recipients, with those suffering from COVID-19 pneumonia exhibiting significantly elevated serum creatinine (Scr) trajectories over the one-year period. GEE further identified 12 genera and 181 metabolites closely associated with these trajectories; a multivariable model incorporating gut metabolites of 1-Caffeoylquinic Acid and PMK was found to effectively predict one-year allograft function.

conclusionsOur study indicates a possible interaction between the composition of the gut microbiota and metabolites community and COVID-19 in renal transplant recipients, particularly in relation to disease severity and the prediction of one-year allograft function.

Indexed as

COVID-19Gastrointestinal MicrobiomeKidney TransplantationMetabolomeAdultAgedAllograftsFecesFemaleHumansMaleMiddle AgedSARS-CoV-2Transplant RecipientsAllograft functionCOVID-19Gut metabolomeGut microbiomeKidney transplantation

Identifiers

PMID40211390
PMCPMC11987245

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.