Evidence mapPaperPMID 42012021Full record

ArticleClinical and translational science2026

GlycA as an Effect Modifier of Protein-Mortality Associations: A Prospective Cohort Study.

Xinru Wang, Ziyan Qiao, Chengzhe Tao, Sijing Liao, Zhi Li, Qiaoqiao Xu, Yun Fan, Yufeng Wang, Yan Han, Xiuliang Dai and 1 more

Abstract read
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

11 authors.

Xinru WangChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0003-4307-1036
Ziyan QiaoChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0001-0612-1642
Chengzhe TaoState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0003-9606-1958
Sijing LiaoChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0001-1025-0842
Zhi LiState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0003-2490-1623
Qiaoqiao XuChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0006-4085-6796
Yun FanChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-0561-0292
Yufeng WangChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0006-5238-8678
Yan HanHospital for Skin Disease, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, China.ORCID https://orcid.org/0000-0002-4848-4361
Xiuliang DaiChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0009-0009-1941-4856
Chuncheng LuChangzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0003-3689-9188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heterogeneity in health effects of circulating proteins remained unclear. Previous studies have identified that glycoprotein acetyls (GlycA), a stable biomarker of inflammation, were associated with risks of mortality and chronic diseases. However, it remained unclear whether the health risks of proteins may differ across people with varied GlycA levels. Based on the multi-omics profiling of the UK Biobank prospective cohort, we evaluated whether GlycA statistically modifies the protein-mortality associations. In the discovery dataset (n = 24,134), we observed that GlycA significantly modified the associations of ANG, CRHBP, CXCL16, and PRRT3 with all-cause mortality, and these findings were replicated in the validation dataset (n = 6081). Subgroup analyses further indicated that associations between these proteins and mortality can be modulated by GlycA levels. Through exploratory analyses focused on chronic diseases and cause-specific mortality, we identified that cross-products of GlycA with these proteins can be associated with cancer mortality and heart failure. Together, the findings will expand our understanding of heterogeneity in protein-health associations and highlight several potential therapeutic targets for interventions across people with varied inflammation status.

Indexed as

GlycoproteinsInflammationNeoplasmsAgedBiomarkersFemaleHumansMaleMiddle AgedProspective StudiesProteomicsUK BiobankUnited KingdomBiomarkersGlycoproteinscohortglycoprotein acetylsmortality riskproteomicsUK biobank

Identifiers

PMID42012021
PMCPMC13097604

What Socratic holds

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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 Socratic graph.