Evidence map›Paper›PMID 31931722›Full record

ArticleBMC nephrology2020

High-throughput sequencing analysis of intestinal flora changes in ESRD and CKD patients.

Jianguang Hu, Xiaoshi Zhong, Jing Yan, Daoyuan Zhou, Danping Qin, Xiao Xiao, Yuanyuan Zheng, Yan Liu

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 55 citations in OpenAlex.

  1. Trial
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  6. Dietary Intake and Gut Microbiome in CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Review
  7. Article
  8. Review
  9. Propionate and butyrate counteract renal damage and progression to chronic kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Article
  10. Article
  11. Gut Microbiota in Patients Receiving Dialysis: A Review.Pathogens (Basel, Switzerland) · 2024
    Review
  12. Review
  13. Article
  14. Article
  15. Article
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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

8 authors at 1 institution in 1 country.

Jianguang HuDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China.
Xiaoshi ZhongDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China.
Jing YanDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China.
Daoyuan ZhouDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China.
Danping QinDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China.
Xiao XiaoDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China.
Yuanyuan ZhengDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China.
Yan LiuDepartment of Nephrology, Guangzhou Red Cross Hospital, Medical College, Jinan University, Guangzhou, 510220, China. rabbityan127@163.com.ORCID 0000-0001-5371-1939
Jinan University · CN

Funding

Science and Technology Planning Project of Guangdong Province of China 2016A020215023Science and Technology Planning Project of Guangdong Province of China 2017B090904027
6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) disease affects gut flora by causing dysbiosis and lead to systemic inflammatory conditions. Here, we provide intestinal flora changes of CKD patients undertook different hemodialysis therapy.

methodsFrom 2017 to 2019, a total of 166 patients from Guangzhou Red Cross Hospital were recruited and divided into four groups with 17 cases in healthy control group, 47 cases in CKD non-dialysis group, 49 cases in HD group, and 53 cases in PD group. Intestinal flora genome 16S rDNA sequencing and further bio-informatic analysis were performed.

resultsDecreased diversity and altered communities of intestinal flora in PD patients, in which microbial diversity was positive correlated with the albumin level were observed. A total of 20 intestinal flora phyla were detected in 166 fecal samples, divided into 3 dominant intestinal types including Bacteroides-dominant gut type, Firmicutes-dominant type and Proteobacteria-dominant gut type. Further analyses found 198 genera, the abundance of 86 genera were significantly different. Butyrate-producing taxa as Faecalibacterium in genera level and Bifidobacteriaceae and Prevotellaceae in family level were dominant genus in CT, CKD, and HD groups, while urease containing-, indole- and p-cresol-forming taxa as Escherichia in genera and Enterobacteriaceae, Enterococcaceae in family level was dominated genus in PD group. Number of differential expressed genes in KEGG enrichment pathways were significantly different in PD group in carbohydrate metabolism, amino acid metabolism, energy metabolism, translation, and membrane transport.

conclusionOur results suggest peritoneal dialysis therapy could result in reduced diversity and altered microbial communities, with reduced probiotic butyrate-producing taxa and increased urease containing-, indole- and p-cresol-forming taxa. The disordered intestinal flora can seriously affect the nutrition level in CKD patients with PD therapy.

Indexed as

BacteriaCase-Control StudiesFemaleGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansKidney Failure, ChronicMaleMiddle AgedPeritoneal DialysisPhylogenyRenal DialysisRenal Insufficiency, ChronicChronic kidney diseaseEnd-stage renal diseaseHemodialysisHigh-throughput sequencingIntestinal flora

Identifiers

PMID31931722
PMCPMC6958730
OpenAlexW3005318322

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Registered trials

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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.