Evidence map›Paper›PMID 40631858›Full record

ArticlemSystems2025

Dual associations of gut and oral microbial networks with kidney transplantation.

Siming Qu, Yuzheng Gu, Xiaoxue Hou, Min Wei, Mengmeng Wang, Yuya Su, Yinglei Miao, Jinlong Yang, Yang Sun, Zhong Zeng

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Siming Qu *Department of Organ Transplantation Center, The First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0009-0008-5004-5545
Yuzheng Gu *College of Grassland Agriculture, Northwest A&F University, Yangling, China.
Xiaoxue HouCollege of Agriculture, South China Agricultural University, Guangzhou, China.
Min WeiDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Mengmeng WangCollege of Life Sciences, University of the Chinese Academy of Sciences, Beijing, Beijing, China.
Yuya SuDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yinglei MiaoDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.
Jinlong YangCollege of Forensic Sciences, Xi'an Jiaotong University, Xi'An, Shaanxi, China.
Yang SunDepartment of Gastroenterology, The First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0000-0001-8914-5879
Zhong ZengDepartment of Organ Transplantation Center, The First Affiliated Hospital of Kunming Medical University, Kunming, China.ORCID 0009-0003-7720-065X

Funding

Applied Basic Research Foundation of Yunnan Province 202201AW070019National Natural Science Foundation of China 82200679, 8246030754
6 · The paper itself

Abstract

Gut and oral microbiomes play an essential role in the occurrence and development of kidney disease, but their changes after kidney transplantation in patients with end-stage renal disease and their relationships with host health remain unclear. Through shotgun metagenomic sequencing of fecal and saliva samples, we found that for both gut and oral microbiome, the initial loss of species diversity after kidney transplantation led to a reduction in network nodes and interactions, but strengthened the connections among the remaining species, which started to get a recovery approximately 7-14 days later. Different network modules tended to exhibit unique functions and showed different responses to transplantation. These network changes were significantly correlated with clinical indicators, especially with estimated glomerular filtration rate, suggesting that microbial networks contributed to regulating kidney function and host health from dual dimensions. Our study provides novel insights into associating microbiomes with patient recovery after kidney transplantation and offers new diagnostic strategies. IMPORTANCE: Understanding the dynamics of gut and oral microbiomes after kidney transplantation is crucial for improving post-transplant outcomes and managing potential complications. Through shotgun metagenomic sequencing of fecal and saliva samples from patients following kidney transplantation, our study emphasizes that, in addition to focusing on the various microbial species themselves, the topological properties of gut and oral microbial networks are also critically important for kidney function. We aim to explore the relationship between host health and the oral and gut microbiomes following kidney transplantation from an ecological perspective and extend to other diseases to advance the study of the microbiome and its clinical impact.

Indexed as

Gastrointestinal MicrobiomeKidney TransplantationMicrobiotaMouthAdultFecesFemaleHumansKidney Failure, ChronicMaleMetagenomicsMiddle AgedSalivagut microbiomekidney transplantationmicrobial co-occurrence networksoral microbiomeshotgun metagenomic sequencing

Identifiers

PMID40631858
PMCPMC12363170

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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.