Evidence map›Paper›PMID 40450254›Full record

ArticleThrombosis journal2025

Unveiling the role of lipid metabolism in haemorrhagic disorders: genetic insights and therapeutic perspectives.

Jiaqi Wei, Zhen Yang, Xiaojin Wu, Nana Zheng, Depei Wu

Abstract read
In one paragraph

Article in Thrombosis journal, 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
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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.

Jiaqi WeiNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Zhen YangNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Xiaojin WuNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Nana ZhengNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China. zhengnana1990@163.com.
Depei WuNational Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China. wudepei@suda.edu.cn.

Funding

Health Foundation of Suzhou GSWS20211005Jiangsu Provincial Medical Innovation Center CXZX202201National Key Research and Development Program of China 2022YFC2502700National Natural Science Foundation of China 82020108003National Natural Science Foundation of China 82200168Natural Science Foundation of Jiangsu Province BK20220247
6 · The paper itself

Abstract

backgroundCoagulation defects, including purpura and other haemorrhagic conditions, are a critical area of medical research because of their significant health effects worldwide. Understanding the metabolic basis of these conditions may improve therapeutic strategies.

methodsA two-sample Mendelian randomization (MR) approach was employed to evaluate the causal relationships between the levels of 1,400 metabolites and coagulation defects. Colocalization analysis confirmed significant shared genetic influences. Pathway and protein‒protein interaction (PPI) analyses identified rate-limiting enzymes and drug targets. The impacts of lifestyle factors on metabolite levels were also explored through MR.

resultsMR analysis revealed four metabolites whose abundance was significantly associated with coagulation defects: docosapentaenoate n3 DPA 22:5n3 (DPA) (OR: 1.594, 95% CI: 1.263-2.011, P < 0.001), 1-palmitoyl-2-stearoyl-gpc (PSPC) (16:0/18:0) (OR: 1.294, 95% CI: 1.134-1.477, P < 0.001), 1-stearoyl-2-docosahexaenoyl-gpc (SDPC) (18:0/22:6) (OR: 1.232, 95% CI: 1.101-1.380, P < 0.001) and hydroxypalmitoyl sphingomyelin (HPSM) (d18:1/16:0 (OH)) (OR: 0.803, 95% CI: 0.719-0.896, P < 0.001). Colocalization analysis provided robust evidence for shared genetic loci. Pathway analysis highlighted the importance of lipid metabolism, identifying key enzymes such as FADS1, FADS2 and TCP1. PPI analysis revealed an interaction between TCP1 and plasminogen, indicating potential therapeutic synergy. Further analysis revealed that lifestyle factors, including dried fruit and oily fish intake, were linked to the abundance of metabolites associated with coagulation risk.

conclusionsThis study identifies specific metabolites and metabolic pathways involved in coagulation defects, proposes novel therapeutic targets and highlights the roles of dietary and lifestyle interventions in the management of these conditions. These findings pave the way for personalized strategies to manage coagulation-related conditions.

Indexed as

Coagulation defectsLifestyle factorsLipid metabolismMendelian randomizationProtein‒protein interaction

Identifiers

PMID40450254
PMCPMC12211966

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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.