Evidence map›Paper›PMID 41089330›Full record

ArticleFrontiers in cellular and infection microbiology2025

Thick

Yuqing Wang, Xueyan Zeng, Mengqi Wu, Bin Lu, Jiarui Wang, Saiping Chen, Aiping Zhang, Min Huang, Yanqin Zhu, Hong Liu and 6 more

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Yuqing Wang *Department of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Xueyan Zeng *Department of Nephrology, Sichuan Second Hospital of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Mengqi Wu *Department of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Bin Lu *Department of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Jiarui Wang *Department of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Saiping ChenDepartment of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Aiping ZhangXingqiao Street Community Health Service Center, Hangzhou, Zhejiang, China.
Min HuangDepartment of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Yanqin ZhuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Hong LiuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Fenggui ZhuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Shilei ChenDepartment of General Medicine, Hangzhou Xihu District Zhuantang Street Community Health Service Centre, Hangzhou, Zhejiang, China.
Xin ZhouTianshui Wulin Street Community Heal Care Centre, Hangzhou, Zhejiang, China.
Luyang ZhaoDonghu Street Community Health Service Center, Hangzhou, Zhejiang, China.
Junyi LiuDepartment of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Riyang LinDepartment of Nephrology, Hangzhou Traditional Chinese Medicine (TCM) Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Gastrointestinal (GI) disturbances are prevalent in maintenance hemodialysis (MHD) patients and are closely associated with gut microbiota dysregulation. Tongue coating thickness, a key diagnostic feature in traditional Chinese medicine, may reflect systemic and microbial health. This study aimed to explore the relationship between tongue coating phenotype and gut microbiota composition in MHD patients. Methods: A matched case-control study was conducted involving 30 MHD patients divided into thick (HTZ, n = 15) and thin (BTZ, n = 15) tongue coating groups, along with 15 healthy controls (DZZ). Fecal samples were analyzed via 16S rRNA sequencing to assess microbial diversity, taxonomic profiles, and predicted functional pathways. Results: Alpha-diversity indices were significantly lower in BTZ than in DZZ (q < 0.05), while no difference was found between HTZ and BTZ. Beta-diversity showed closer clustering between HTZ and BTZ than with DZZ. Compared to DZZ, both HTZ and BTZ exhibited reduced levels of genera typically associated with health or commensal functions ( Conclusion: Tongue coating thickness in MHD patients reflects underlying gut microbial composition. Thick tongue coatings indicate a state of dysbiosis with potential health implications, whereas thin coatings are associated with a microbiota profile that may be more favorable. These findings support the potential use of tongue coating thickness as a noninvasive biomarker for gut health assessment in clinical nephrology.

Indexed as

Gastrointestinal MicrobiomeRenal DialysisTongueAdultAgedBacteriaCase-Control StudiesDNA, BacterialDysbiosisFecesFemaleHumansMaleMedicine, Chinese TraditionalMiddle AgedRNA, Ribosomal, 16SDNA, BacterialRNA, Ribosomal, 16Sgastrointestinal complicationsgut microbiotahemodialysisoral-gut axistongue coating

Identifiers

PMID41089330
PMCPMC12515952

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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.