Evidence map›Paper›PMID 37303656›Full record

ArticleAmerican journal of translational research2023

Difference in oral microbiota composition between patients with stage 5 chronic kidney disease on hemodialysis and healthy controls.

Yumian Gan, Dandan Ruan, Quanzuan Zeng, Yaobin Zhu, Yanan Hu, Rong Wu, Xinfu Lin, Jiabin Wu, Xiaorong Meng, Jiewei Luo and 2 more

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 3 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Yumian GanFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Dandan RuanFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Quanzuan ZengFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Yaobin ZhuDepartment of Traditional Chinese Medicine, The First Affiliated Hospital, Fujian Medical University Fuzhou 350003, Fujian, China.
Yanan HuFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Rong WuFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Xinfu LinFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Jiabin WuFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Xiaorong MengFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Jiewei LuoFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Meizhu GaoFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Xin ChenFujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University Fuzhou 350001, Fujian, China.
Fujian Medical University · CNFujian University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Owing to the symbiotic relationship between the microbiota and the human body, the microbiome is considered a "second human genome". Microorganisms are inextricably associated with human diseases and can affect the host phenotype. In the present study, 25 female patients with stage 5 chronic kidney disease (CKD5) undergoing hemodialysis in our hospital and 25 healthy subjects were recruited. The structure of the oral microbiota of the study participants was analyzed using the MiSeq PE300 sequencing platform and high-throughput 16S rDNA sequencing. The microbiota was compared between the groups using QIIME and the stats package in R. In total, 1,336 operational taxonomic units (OTUs) were obtained, and the relative frequencies of 450 OTUs differed significantly between the two groups (P < 0.05), indicating that the samples were rich in OTUs. A comparison of β-diversity indicated a significant difference in the microbial community structure between the two groups (P < 0.05). These results indicated that the biological diversity of the oral microbiota was highly correlated with CKD5. In this experiment, 189 genera, with significant differences in abundance between the groups (P < 0.05), were found. Furthermore, differences in the structure of the oral microbiota were observed between the groups at the phylum, class, order, family, and genus levels. Collectively, an imbalance in the oral microbiota may accelerate the progression of CKD and cause additional complications.

Indexed as

16S rDNA sequencinghemodialysisimmune imbalanceoral microbiotaStage 5 chronic kidney disease

Identifiers

PMID37303656
PMCPMC10250997
OpenAlexW4380291369

What OpenQuestion holds

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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.