Evidence map›Paper›PMID 38085410›Full record

ArticleInternational urology and nephrology2024

Characterization of gut microbiota in patients with stage 3-4 chronic kidney disease: a retrospective cohort study.

Xiali Yang, Shiying Cai, Jinsheng Gong, Jun Zhang, Minling Lian, Rufu Chen, Linghui Zhou, Peijin Bai, Bo Liu, Minting Zhuang and 3 more

Abstract read
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In one paragraph

Article in International urology and nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

11 citing papers in PubMed, 13 citations in OpenAlex.

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  6. Differences in microorganism profile in periprosthetic joint infections of the hip in patients affected by chronic kidney disease.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2024
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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

13 authors at 3 institutions in 1 country.

Xiali Yang *Department of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Shiying Cai *Department of Nursing, Shenzhen Hospital of Southern Medical University, Shenzhen, 518101, People's Republic of China.
Jinsheng GongDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Jun ZhangDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Minling LianDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Rufu ChenDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Linghui ZhouDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Peijin BaiDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Bo LiuDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Minting ZhuangDepartment of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, 361003, Fujian Province, People's Republic of China.
Honghong TanDepartment of VIP Clinic, Shanghai East Hospital, Tongji University School of Medicine, No.150 Jimo Road, Shanghai, 200120, People's Republic of China. tanhonghong0612@163.com.ORCID http://orcid.org/0000-0002-7788-1243
Juan XuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, Fujian Province, People's Republic of China. 13959237709@163.com.ORCID http://orcid.org/0000-0002-7506-0142
Meizhen LiDepartment of Nutrition, The First Affiliated Hospital of Xiamen University, No.55 Zhenhai Road, Xiamen, 361003, Fujian Province, People's Republic of China. 79876157@qq.com.ORCID http://orcid.org/0009-0002-4179-1737
First Affiliated Hospital of Xiamen University · CNShanghai East Hospital · CNSouthern Medical University Shenzhen Hospital · CN

Funding

Foundation of Zhaoyang Talent Plan of Shanghai East Hospital DFZY-6Youth Natural Science Foundation of Jiangxi Province 20171BAB215011Youth Research Development Foundation of The First Affiliated Hospital of Xiamen University XYY2017021
6 · The paper itself

Abstract

purposeMultiple factors, such as dietary patterns, pharmaceutical interventions, and exposure to harmful substances, possess the capacity to influence gut microbiota composition. Gut microbiota dysbiosis has emerged as a significant contributor to the progression of chronic kidney disease (CKD) and its associated complications. By comprehending the intricacies of the intestinal microbiota, this research endeavor holds the potential to offer novel perspectives on potential strategies for mitigating CKD progression.

methodsIn this retrospective analysis, we assessed gut microbiota composition in CKD patients. Fecal samples were collected from a cohort of 44 patients with stage 3-4 CKD, alongside a control group consisting of 132 healthy volunteers. Subsequently, 16 s rDNA sequencing was conducted to examine the composition of the gut microbiota.

resultsOur findings revealed significant alterations in the diversity of intestinal microbiota in fecal samples between patients with stage 3-4 CKD and healthy subjects. Among the 475 bacterial genera, 164 were shared, while 242 dominant genera were exclusive to healthy subjects and 69 to CKD stages 3-4 samples. Notably, healthy volunteers exhibited a prevalence of intestinal Firmicutes and Bacteroidetes, whereas stage 3-4 CKD patients displayed higher abundance of Proteobacteria and Actinobacteria. The presence of uncultured Coprobacillus sp. notably contributed to distinguishing between the two groups. ROC curve analysis identified distinct microbiota with superior diagnostic efficacy for discriminating stage 3-4 CKD patients from healthy individuals. Metabolic pathway analysis revealed differing dominant pathways between the two groups-the NADH dehydrogenase pathway in healthy individuals and the phosphate acetyltransferase pathway in stage 3-4 CKD patients. Moreover, the CKD cohort displayed a higher proportion of Gram-negative bacteria and facultative anaerobes.

conclusionsIn conclusion, our study underscores the profound influence of gut microbiota dysbiosis on CKD progression. The distinct microbial profiles observed in CKD patients highlight the potential efficacy of microbiota-based interventions in mitigating CKD advancement.

Indexed as

Gastrointestinal MicrobiomeRenal Insufficiency, ChronicBacteriaDysbiosisFecesHumansRetrospective StudiesBacterial biomarkersChronic kidney diseaseGut microbiotaIntestinal microecologyMetabolism

Identifiers

PMID38085410
OpenAlexW4389624232

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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.