Evidence map›Paper›PMID 39267764›Full record

ArticleFrontiers in immunology2024

Exploring the gut microbiome and immunological landscape in kidney cancer: a Mendelian randomization analysis.

Shihui Lv, Qian Guo, Yuhan He, Zhixian Yu, Xianjing Zhan, Hang Li, Yue Pan

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Shihui Lv *Department of Urology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Qian Guo *Department of Rhinology, FirstAffiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuhan HeDepartment of Urology, YongKang First People's Hospital of Hangzhou Medical College, Yongkang, China.
Zhixian YuDepartment of Urology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xianjing ZhanDepartment of Urology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Hang LiDepartment of Urology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yue PanDepartment of Urology, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Kidney cancer (KC) is a significant health burden globally, with over 400,000 new cases estimated in 2020. The prognosis of KC is influenced by various factors, including tumor spread, pathological characteristics, and molecular genetic changes. Recent studies have emphasized the involvement of gut microbiota and the immune system's contribution in the onset of KC. This extensive research endeavor sought to investigate the potential associations between diverse immune cell phenotypes, specific gut microbiota species, and their impact on the risk of developing KC, alongside the examination of circulating inflammatory proteins. Methods: Adhering to the STROBE-MR guidelines, our investigation involved a two-stage Mendelian randomization (2SMR) analysis grounded on three fundamental assumptions: relevance, independence, and exclusion restriction. The exposure data utilized in this study originated from genome-wide association studies (GWAS) specifically designed to explore immune traits, inflammatory proteins, and gut microbiota compositions. Results: Our analysis identified 25 immune phenotypes, 4 circulating inflammatory proteins, and 12 gut microbiota features that exhibited significant causal associations with KC (P < 0.05). 10 immune phenotypes were protective against KC, while 15 were risk factors. Among the inflammatory proteins, CCL28 and IL-2 were protective, whereas FGF-23 and β-NGF were risk factors. Gut microbiota features associated with reduced KC risk included biosynthetic pathways involving amino acids and specific bacterial genera, whereas others, like Butyrivibrio crossotus and Odoribacter splanchnicus, were risk factors. Conclusion: Immune, inflammatory, and gut microbiota factors impact KC development. Identified factors hint at biomarkers and therapeutic targets. It is very important to understand the relationship between these factors and KC.

Indexed as

Gastrointestinal MicrobiomeGenome-Wide Association StudyKidney NeoplasmsMendelian Randomization AnalysisHumansRisk Factorsgut microbiotaimmune systeminflammatory proteinskidney cancerMendelian randomization

Identifiers

PMID39267764
PMCPMC11390574

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.