Evidence map›Paper›PMID 40492760›Full record

ArticleMicrobiology spectrum2025

Integrative analyses of 16S rDNA sequencing and serum metabolomics demonstrate significant roles for the oral microbiota and serum metabolites in post-kidney transplant diabetes mellitus.

Chao Liu, Sheng Chao, Lei Jia, Qizhen Yang, Qian Chen, Yulin Niu

Abstract read
In one paragraph

Article in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chao LiuDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0002-4485-1301
Sheng ChaoDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Lei JiaDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Qizhen YangDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Qian ChenDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0000-0002-8918-0313
Yulin NiuDepartment of Organ Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.ORCID 0009-0009-6690-9720

Funding

Science and Technology Program of Guizhou Province Qiankehe Basic-ZK[2023] General 380Science and Technology Program of Guizhou Province Qiankehe Basic-ZK(2024)247Training Program of the National Natural Science Foundation of China, Affiliated Hospital of Guizhou Medical University gyfynsfc[2024]-50
6 · The paper itself

Abstract

Oral microbiota and serum metabolites play crucial roles in diabetes, but their relationship with post-transplant diabetes mellitus (PTDM), a common complication post-kidney transplantation, is not well characterized. This study investigated the relationship of oral microbiota and serum metabolites with PTDM using integrative analysis of 16S rDNA sequencing and serum metabolomics. We recruited 61 kidney transplant recipients, including 30 in the PTDM group and 31 in normal glucose tolerance controls. Oral samples and serum samples were collected from all the kidney transplant patients to perform 16S rDNA sequencing and serum metabolomics analysis. We annotated 689 oral microbial species, including 134 species unique to the PTDM group and 157 species unique to the control group. PTDM group showed upregulation of 36 metabolites and downregulation of 19 metabolites. Based on the random forest machine learning algorithm, genera such as

Indexed as

BacteriaDiabetes MellitusKidney TransplantationMicrobiotaMouthSerumAdultAgedDNA, RibosomalFemaleHumansMaleMetabolomicsMiddle AgedRNA, Ribosomal, 16SDNA, RibosomalRNA, Ribosomal, 16Skidney transplantationoral microbiotapost-transplant diabetes mellitusserum metabolites

Identifiers

PMID40492760
PMCPMC12211015

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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.