Evidence map›Paper›PMID 42783805›Full record

ReviewMetabolites2026

Coffee, the Gut Microbiome, and Host Metabolism: Gastrointestinal Fate, Microbial Transformation, Mechanistic Insights, and Prospects for Precision Nutrition.

Lei Yang, Chaowei Wang, Liangyu Cui, Yongxiang Zhu, Xi Wang

Abstract readReview
In one paragraph

Review in Metabolites, 2026. 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

5 authors.

Lei YangSchool of Nursing, Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0001-9677-1341
Chaowei WangKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Health Science Center, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0009-0005-9351-600X
Liangyu CuiKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Health Science Center, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China.
Yongxiang ZhuAdministrative Committee of Yunnan Baoshan Industial Park, Baoshan 678000, China.
Xi WangKey Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, Health Science Center, School of Public Health, Xi'an Jiaotong University, Xi'an 710061, China.ORCID 0000-0003-2983-5485

Funding

Coffee Research Project from Administrative Committee of Yunnan Baoshan Industrial Park.National Natural Science Foundation of China 81903263National Natural Science Foundation of China 82273752
6 · The paper itself

Abstract

Coffee is one of the most widely consumed beverages worldwide and a major dietary source of bioactive compounds, including caffeine, chlorogenic acids (CGAs), trigonelline, non-digestible polysaccharides, and roasting-derived melanoidins. Habitual coffee consumption has been associated with a lower risk of type 2 diabetes (T2D) and more favorable liver-related outcomes, whereas evidence regarding obesity and metabolic dysfunction-associated steatotic liver disease (MASLD) remains heterogeneous. These associations may reflect interactions among coffee constituents, the gut microbiota, and host metabolic phenotypes rather than the effects of individual compounds alone. In this focused narrative review, we integrate evidence on the gastrointestinal fate, microbial transformation, and systemic availability of major coffee constituents, with particular emphasis on short-chain fatty acids, CGA-derived phenolic acids, and microbiota-dependent bile acid metabolism. We examine how these pathways may influence intestinal barrier integrity, mucosal immunity, enteroendocrine signaling, and gut-liver communication then consider their potential relevance to the regulation of energy, glucose, and lipid metabolism. We evaluate the relevance of these pathways to obesity, T2D, and MASLD, as well as major sources of inter-individual variability, including host genetics, baseline microbiota, metabolic phenotypes, background diet, and coffee composition, processing, brewing, filtration, dose, and beverage additives. Finally, we discuss physiologically relevant exposure levels, candidate biomarkers of individual responses, and risk-benefit considerations. Although mechanistic and preclinical evidence is accumulating, human studies directly demonstrating that coffee-induced microbiota changes mediate beneficial metabolic outcomes remain limited. Future randomized and mechanistic studies should integrate chemically characterized coffee exposures with longitudinal microbiome, metabolomic, physiological, and clinically relevant outcome measurements.

Indexed as

coffeegut–liver axisgut microbiotaprecision nutritionshort-chain fatty acidstype 2 diabetes

Identifiers

PMID42783805
PMCPMC13609105

What Socratic holds

Textmetadata
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 Socratic graph.