Evidence map›Paper›PMID 38162661›Full record

ArticleFrontiers in immunology2023

Exploring the gut mycobiome: differential composition and clinical associations in hypertension, chronic kidney disease, and their comorbidity.

Juan Qiu, Longyou Zhao, Yiwen Cheng, Qiaoxia Chen, Yiran Xu, Yingfeng Lu, Jie Gao, Wenhui Lei, Chengmin Yan, Zongxin Ling and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

13 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
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  5. Microbiota-gut-kidney axis in health and renal disease.International journal of biological sciences · 2026
    Review
  6. Dietary Intake and Gut Microbiome in CKD.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Review
  7. Review
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  9. 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

11 authors at 5 institutions in 1 country.

Juan Qiu *Prenatal Diagnosis Center, Longhua Maternity and Child Healthcare Hospital, Shenzhen, Guangdong, China.
Longyou Zhao *Department of Laboratory Medicine, Lishui Second People's Hospital, Lishui, Zhejiang, China.
Yiwen Cheng *Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Qiaoxia ChenDepartment of Laboratory Medicine, Lishui Second People's Hospital, Lishui, Zhejiang, China.
Yiran XuCollaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Yingfeng LuCollaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Jie GaoCollaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Wenhui LeiJinan Microecological Biomedicine Shandong Laboratory, Jinan, Shandong, China.
Chengmin YanDepartment of Intensive Unit, Hangzhou Jiaye Rehabilitation Hospital, Hangzhou, Zhejing, China.
Zongxin LingCollaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, the First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Shaochang WuDepartment of Laboratory Medicine, Lishui Second People's Hospital, Lishui, Zhejiang, China.
State Key Laboratory of Diagnosis and Treatment of Infectious DiseasesXian Yang Central Hospital · CNLishui City People's Hospital · CNShandong First Medical University · CNShenzhen Maternity and Child Healthcare Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension (HTN) and chronic kidney disease (CKD) pose significant global health challenges and often coexist, amplifying cardiovascular risks. Recent attention has turned to the gut mycobiome as a potential factor in their pathophysiology. Our study sought to examine the gut fungal profile in individuals with HTN, CKD, and the concurrent HTN+CKD condition, investigating its connections with serum cytokines, renal function, and blood pressure. Methods and materials: We investigated three distinct participant groups: a cohort of 50 healthy controls (HC), 50 individuals diagnosed with HTN-only, and 50 participants suffering from both HTN and CKD (HTN+CKD). To facilitate our research, we gathered fecal and blood samples and conducted a comprehensive analysis of serum cytokines. Moreover, fungal DNA extraction was conducted with meticulous care, followed by sequencing of the Internal Transcribed Spacer (ITS) region. Results: HTN+CKD patients displayed distinctive fungal composition with increased richness and diversity compared to controls. In contrast, HTN-only patients exhibited minimal fungal differences. Specific fungal genera were notably altered in HTN+CKD patients, characterized by increased Conclusion: Gut mycobiome dysbiosis in individuals with comorbid HTN and CKD differs significantly from that observed in HTN-only and healthy controls. The interactions between serum cytokines, renal function, and blood pressure emphasize the potential impact of the fungal microbiome on these conditions. Additional research is required to clarify the underlying mechanisms and identify therapeutic opportunities associated with mycobiome dysbiosis in HTN and CKD.

Indexed as

BasidiomycotaGastrointestinal MicrobiomeHypertensionMycobiomeRenal Insufficiency, ChronicSaccharomycesComorbidityCytokinesDysbiosisHumansCytokineschronic kidney diseasecytokinegut mycobiomehypertensionrenal function

Identifiers

PMID38162661
PMCPMC10755858
OpenAlexW4389774690

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.