Evidence map›Paper›PMID 35306682›Full record

ArticleLetters in applied microbiology2022

16S rRNA gene sequencing reveals altered composition of gut microbiota in postoperative individuals with renal stones.

Qiong Deng, Zhu Wang, Jieyan Wang, Jianwen Zhang, Ying Zhang, Hui Liang

Open access · hybridAbstract read
In one paragraph

Article in Letters in applied microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. 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

6 authors at 1 institution in 1 country.

Qiong DengDepartment of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Guangdong, China.ORCID https://orcid.org/0000-0002-3801-8682
Zhu WangDepartment of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Guangdong, China.
Jieyan WangDepartment of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Guangdong, China.
Jianwen ZhangDepartment of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Guangdong, China.
Ying ZhangDepartment of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Guangdong, China.
Hui LiangDepartment of Urology, Affiliated Longhua People's Hospital, Southern Medical University, Guangdong, China.
Third Affiliated Hospital of Southern Medical University · CN

Funding

Longhua Science and Technology Planning Project 11501A20190513BA7B6BLonghua Science and Technology Planning Project 2020006Longhua Science and Technology Planning Project 2020026Natural Science Foundation 31800984Shenzhen Fundamental Research Project JCYJ20180228164047023Shenzhen Fundamental Research Project JCYJ20190808095407464The Science and Technology Planning Project of Guangdong Province 2018A0303130337The Science and Technology Planning Project of Guangdong Province B2022065
6 · The paper itself

Abstract

Renal stones are a common urological disease with high prevalence and recurrence rates. Characterizing gut microbiome profiles of first-onset renal calculi patients, both before and after surgery, may provide valuable insights and identify potential biomarkers for the disease. In this study, we explored the associations between the gut microbiome and renal stone formation using 16S ribosomal RNA (rRNA) gene sequencing. In brief, 20 patients were recruited, and information on health and eating habits within the previous 1-3 months was collected upon admission. A total of 493 operational taxonomic units (OTUs) were detected in 40 specimens, with an average of 67,888 ± 827 reads per sample. The results of OTU-based partial least squares discriminant analysis (PLS-DA) analysis showed differences between RS1 (fecal specimen before surgery) and RS2 (one month later after surgery) groups, with a significantly higher level of OTU7 in the RS2 group. Taxonomy-based comparisons of the gut microbiome showed differences in the flora composition, with the prevalence of Enterobacteriales, Enterobacteriaceae, Gammaproteobacteria and Escherichia being higher in the RS2 group and the prevalence of Pseudomonadaceae, Pseudomonadales and Pseudomonas being higher in the RS1 group. Correlation analysis showed that an increased prevalence of Enterobacteriaceae, Gammaproteobacteria and Escherichia associated with a decreased level of urea, and a decreased creatinine level was correlated with an increased prevalence of Escherichia. These data strongly suggest that the gut microbiome plays an important role in kidney stone formation, and these findings may provide new insights for the prevention, diagnosis, and treatment of renal stones.

Indexed as

Gastrointestinal MicrobiomeKidney CalculiFecesGenes, rRNAHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16S16s rRNAgut microbiotakidney stones

Identifiers

PMID35306682
PMCPMC9544399
OpenAlexW4221033603

What OpenQuestion holds

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Read underepoch 390

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.