Evidence map›Paper›PMID 40542847›Full record

ArticleUrolithiasis2025

Decoding coffee's chlorogenic acid: genetic-network pharmacology insights on kidney stones.

Xin Hou, Han Meng, Demei Ying, Ruiqi Tian, Xuli Guo, Bo Li, Yuzhi Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Urolithiasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Xin HouHebei Key Laboratory of Medical Data Science, Institute of Biomedical Informatics, School of Medicine, Hebei University of Engineering, Hebei Province, Handan, 056038, China.
Han MengHebei Key Laboratory of Medical Data Science, Institute of Biomedical Informatics, School of Medicine, Hebei University of Engineering, Hebei Province, Handan, 056038, China.
Demei YingXinqiao Hospital, Army Medical University, Chongqing, 400037, China.
Ruiqi TianHebei Key Laboratory of Medical Data Science, Institute of Biomedical Informatics, School of Medicine, Hebei University of Engineering, Hebei Province, Handan, 056038, China.
Xuli GuoHebei Key Laboratory of Medical Data Science, Institute of Biomedical Informatics, School of Medicine, Hebei University of Engineering, Hebei Province, Handan, 056038, China.
Bo Li *Department of Urology, Affiliated Hospital of Hebei University of Engineering, Hebei Province, Handan, 056002, China.
Yuzhi ChenHebei Key Laboratory of Medical Data Science, Institute of Biomedical Informatics, School of Medicine, Hebei University of Engineering, Hebei Province, Handan, 056038, China. kncccp@163.com.

Funding

Hebei Provincial Department of Science and Technology QN2021032Natural Science Foundation of Hebei Province C2023402022Science and Technology Research and Development Project of Handan City 23422083309
6 · The paper itself

Abstract

Chlorogenic acid, a principal bioactive component of coffee, has been proposed to reduce the risk of urinary tract stones, though its underlying mechanisms remain unclear. This study integrated Mendelian randomization and network pharmacology approaches to investigate its potential therapeutic role. A two-step Mendelian randomization analysis was conducted using genome-wide association data from the UK Biobank (coffee intake) and Finngen (upper urinary tract stones), focusing on European populations. Instrumental variables were rigorously selected to ensure valid causal inference. Coffee intake was significantly associated with a reduced risk of urinary tract stones, independent of caffeine levels, and this association remained robust across multiple analytical models. Mediation analysis identified 35 serum proteins potentially involved in this relationship. To explore the molecular mechanisms, two major caffeoylquinic acid isomers in coffee were examined through network pharmacology. ANP32A and its interacting protein APEX1 emerged as key targets, both implicated in oxidative stress and inflammation pathways relevant to stone pathogenesis. These findings suggest that chlorogenic acid may exert protective effects against urinary tract stones by modulating specific proteins and biological pathways, offering insight into potential preventive strategies.

Indexed as

Chlorogenic AcidCoffeeKidney CalculiGenome-Wide Association StudyHumansMendelian Randomization AnalysisNetwork PharmacologyOxidative StressChlorogenic AcidCoffeeANP32AAPEX1Coffee chlorogenic acidKidney stonesMendelian randomizationNetwork pharmacology

Identifiers

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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.