Evidence map›Paper›PMID 40524203›Full record

ArticleThrombosis journal2025

Genetically predicted the causal association between serum mineral elements with immune thrombocytopenia and Henoch-Schonlein purpura: a bidirectional two-sample Mendelian randomization analysis.

Yan Chen, Xiuli Hong, Yamei Chen, Zhiqiang Xu, Quanyi Lu

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. 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.

Yan ChenDepartment of Hematology, Zhongshan Hospital Xiamen University, No. 201 Hubin South Road, Siming District, Xiamen, Fujian Province, 361000, China.
Xiuli HongDepartment of Hematology, Zhongshan Hospital Xiamen University, No. 201 Hubin South Road, Siming District, Xiamen, Fujian Province, 361000, China.
Yamei ChenDepartment of Hematology, Zhongshan Hospital Xiamen University, No. 201 Hubin South Road, Siming District, Xiamen, Fujian Province, 361000, China.
Zhiqiang XuDepartment of Hematology, Zhongshan Hospital Xiamen University, No. 201 Hubin South Road, Siming District, Xiamen, Fujian Province, 361000, China.
Quanyi LuDepartment of Hematology, Zhongshan Hospital Xiamen University, No. 201 Hubin South Road, Siming District, Xiamen, Fujian Province, 361000, China. quanyilu0215@outlook.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, the diagnosis and treatment of immune thrombocytopenia (ITP) and Henoch-Schönlein purpura (HSP) remain a major and ongoing challenge in hematology. Emerging clinical evidences suggest serum mineral elements are associated with ITP or HSP, but the causal relationship between them is still unclear.

aimsConducting a two-sample, bidirectional Mendelian randomization (MR) study to evaluate the causal association between serum mineral elements including zinc, copper, magnesium, iron and calcium with ITP and HSP.

methodsIn this two-sample, bidirectional MR study, summary statistics data of genome-wide association studies (GWAS) on exposures including zinc, copper, iron, magnesium and calcium were extracted from the MRC-Integrative Epidemiology Unit (MRC-IEU). The GWAS data on study outcomes, including ITP and HSP, were obtained from the FinnGen consortium. MR-Egger intercept and MR-PRESSO global test were utilized to assess the heterogeneity and horizontal pleiotropic of instrumental variables (IVs) between the exposures and outcomes, respectively. Inverse variance weighted (IVW) test was used as the primary analysis method to evaluate the causal between serum mineral elements with the risk of ITP and HSP, and weighted-median, weighted model, MR steiger, MR-PRESSO and radial MR were used as auxiliary analysis methods, moreover, the odds ratio (OR) and 95% confidence interval (CI) were calculated. Reverse MR analysis was also conducted. Leave-one-out test was further to conduct whether the association between serum mineral elements and the risk of ITP and HSP remain robust.

resultsNo significant horizontal pleiotropy and heterogeneity between individuals IVs was found after MR-Egger and MR-PRESSO global test. Genetically predicted that high copper (OR = 0.768, 95%CI: 0.628-0.937) and magnesium (OR = 0.314, 95%CI: 0.112-0.884) concentrations may reduce the risk of ITP and HSP, respectively. High calcium concentration may increase the risk of HSP (OR = 1.823, 95%CI: 1.226-2.712). There was no significant evidence to support a causal association between iron, zinc, magnesium, and calcium with the risk of ITP, or between iron, copper, and zinc and the risk of HSP (all P > 0.005). Moreover, no reverse causal associations between five serum mineral elements with the risk of ITP and HSP were found (all P > 0.05), suggesting the causal associations between serum mineral elements with ITP and HSP were not bidirectional. In addition, consistent results were obtained by multiple sensitivity analyses, indicating the associations of serum mineral elements with the risk of ITP and HSP relatively robust.

conclusionIn this MR study, we discovered genetically predicted that elevated serum levels of copper and magnesium decreased the risk of ITP and HSP, respectively, and elevated levels of serum calcium increased the risk of HSP. However, no reverse causal association was found between serum mineral elements with the risk of ITP and HSP.

Indexed as

CalciumCopperHenoch-Schonlein purpuraImmune thrombocytopeniaMagnesiumMendelian randomizationSerum mineral elements

Identifiers

PMID40524203
PMCPMC12168289

What OpenQuestion 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 OpenQuestion graph.