Evidence map›Paper›PMID 40906222›Full record

ArticleCurrent microbiology2025

Unlocking the Secrets: Causal Associations Between Blood Metabolites and Aspergillosis.

Youzhen Ma, Wenlong Du

Abstract read
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In one paragraph

Article in Current microbiology, 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

2 authors.

Youzhen MaDepartment of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou, 221004, China.
Wenlong DuDepartment of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou, 221004, China. wenlongdu@xzhmu.edu.cn.ORCID http://orcid.org/0000-0003-2526-5278

Funding

Excellent Talents Research Foundation of Xuzhou Medical University D2021042National Natural Science Foundation of China 82302547Natural Science Foundation of Jiangsu Province BK20220658
6 · The paper itself

Abstract

Aspergillosis includes a range of illnesses caused by Aspergillus species, primarily affecting individuals with weakened immune systems. Blood metabolites are gaining attention as potential biomarkers for diagnosing and managing diseases, but their causal role in aspergillosis risk remains unclear. This study used Mendelian randomization (MR) to explore potential causal associations between blood metabolites, their ratios, and aspergillosis risk. Single-nucleotide polymorphisms (SNPs) associated with metabolites were selected as instrumental variables. The primary analysis was conducted using the inverse variance weighted (IVW) method, with sensitivity analyses to ensure robustness. The study identified several metabolites and ratios significantly associated with aspergillosis risk. Elevated levels of 2-linoleoylglycerol, palmitoleate, serotonin, and 3-indoxyl sulfate were linked to increased risk, while higher levels of myristate, 1-methylhistidine, and theobromine were associated with reduced risk. Findings were validated using a secondary dataset, and reverse MR analysis confirmed the directionality from metabolites to disease. These results shed light on the metabolic underpinnings of aspergillosis and may inform future research on diagnostic and therapeutic strategies.

Indexed as

AspergillosisAspergillusBiomarkersHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideBiomarkers

Identifiers

PMID40906222

What OpenQuestion holds

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Registered trials

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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.