Evidence map›Paper›PMID 41326748›Full record

ArticleNature food2025

Proteomic signatures of sweetened beverages are associated with higher risk of adverse liver outcomes.

Longgang Zhao, Xinyuan Zhang, Jiali Zheng, Yun Chen, Danielle E Haslam, Hongmei Zeng, Shilpa N Bhupathiraju, Frank B Hu, Deirdre K Tobias, Katherine A McGlynn and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature food, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Longgang ZhaoYale School of Nursing, Yale University, New Haven, CT, USA.
Xinyuan ZhangChanning Division of Network Medicine and Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Jiali ZhengSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID http://orcid.org/0000-0003-1434-2856
Yun ChenYale School of Nursing, Yale University, New Haven, CT, USA.
Danielle E HaslamChanning Division of Network Medicine and Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0144-3287
Hongmei ZengNational Central Cancer Registry, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Shilpa N BhupathirajuChanning Division of Network Medicine and Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Frank B HuChanning Division of Network Medicine and Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-8233-6274
Deirdre K TobiasDivision of Preventive Medicine and Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-0020-9552
Katherine A McGlynnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Xuehong ZhangYale School of Nursing, Yale University, New Haven, CT, USA. xuehong.zhang@yale.edu.ORCID http://orcid.org/0000-0002-8260-8508

Funding

Proteomic and integrative omic profiles of sugar- and artificially sweetened beverage consumption and changes in type 2 diabetes risk factorsK01DK136968 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI Danielle Haslam · 2023 to 2026
$634k
Inflammation and Hepatocellular Carcinoma: A Multiomics Approach to Improve Early Detection, Causal Inference, and Lifestyle Based PreventionK99CA296755 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI Xinyuan Zhang · 2025 to 2026
$332k
American Cancer Society (American Cancer Society, Inc.) RSG NEC-130476, PASD-22-1003396NCI NIH HHS K99 CA296755NIDDK NIH HHS K01 DK136968U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R37 CA262299, U01 CA259208, U01 CA272452
6 · The paper itself

Abstract

Evidence is limited on the associations between the consumption of sweetened beverages, their proteomic signatures and liver health. We used data from the UK Biobank with 173,840 participants aged 40-69 years and applied Cox proportional hazards regression to examine associations of sugar- and artificially sweetened beverages, along with their proteomic signatures (derived from elastic net regressions), with adverse liver outcomes. After a median follow-up of 8.9 years, 1 serving increment of both sugar- and artificially sweetened beverages per day was positively associated with risk of metabolic dysfunction-associated steatotic liver disease, severe liver disease and chronic liver disease mortality. The proteomic signatures of sugar- and artificially sweetened beverages showed positive associations with risk of metabolic dysfunction-associated steatotic liver disease, liver cirrhosis and severe liver disease. Our results suggest the potential importance of reducing sweetened beverage intake to improve liver health.

Indexed as

Artificially Sweetened BeveragesBeveragesLiverLiver DiseasesSugar-Sweetened BeveragesAdultAgedFemaleHumansMaleMiddle AgedProteomicsRisk FactorsUnited Kingdom

Identifiers

PMID41326748

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.