Evidence map›Paper›PMID 40410146›Full record

ArticleNature communications2025

The health impacts and genetic architecture of food liking in cardio-metabolic diseases.

Wenbo Jiang, Hang Wang, Yiding Geng, Meijuan Guo, Yingdong Zuo, Sijia Han, Zijie Liu, Shuaijun Chen, Shuzhen Fan, Shangying Li and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

16 authors.

Wenbo Jiang *Key Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Hang Wang *Key Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Yiding GengKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Meijuan GuoKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Yingdong ZuoKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Sijia HanKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Zijie LiuKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Shuaijun ChenKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Shuzhen FanKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Shangying LiKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Conghui QiaoKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Qianzhu LiKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China.
Bai LiDepartment of Biology, University of Ottawa, 30 Marie-Curie Private, Gendron Hall, Ottawa, ON, K1N 9B4, Canada.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China. zhangyp@hrbmu.edu.cn.ORCID http://orcid.org/0000-0002-3709-3656
Wei WeiKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China. 102594@hrbmu.edu.cn.
Tianshu HanKey Laboratory of Precision Nutrition and Health, Ministry of Education. Department of Nutrition and Food Hygiene, the National Key Discipline, School of Public Health, Harbin Medical University, Harbin, China. 102403@hrbmu.edu.cn.ORCID http://orcid.org/0000-0001-9596-4619

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62172131National Natural Science Foundation of China (National Science Foundation of China) 62472131National Natural Science Foundation of China (National Science Foundation of China) 82173498National Natural Science Foundation of China (National Science Foundation of China) 82204017
6 · The paper itself

Abstract

We evaluated temporal and genetic relationships between 176 food-liking-traits and cardio-metabolic diseases using data from the UK Biobank (N = 182,087) for observational analyses and summary-level GWAS data from FinnGen and other consortia (N = 406,565-977,323) for genetic analyses. Integrating observational and genetic results, we identified two detrimental food-liking-traits (bacon and diet-fizzy-drinks) and three protective food-liking-traits (broccoli, pizza, and lentils/beans). These food-liking-traits are associated with habitual food intake and influence cardio-metabolic proteins and biological processes. Notably, we found three genetic links: diet-fizzy-drinks with heart-failure, bacon with type-2-diabetes, and lentils/beans with type-2-diabetes, identifying 54 pleiotropic single-nucleotide-variants, impacting both phenotypes. Our data show the diet-fizzy-drinks and heart-failure link maybe not direct, as diet-fizzy-drinks liking correlates with sweet food consumption and shares variants linked to BMI, adiposity, platelet count and cardio-metabolic traits. The pleiotropic single-nucleotide-variants map to 251 tissue-specific genes, with four showing high druggability potential, highlighting personalized dietary strategies for cardio-metabolic diseases.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Food PreferencesMetabolic DiseasesDietFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedPhenotypePolymorphism, Single NucleotideUnited Kingdom

Identifiers

PMID40410146
PMCPMC12102323

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.