Evidence map›Paper›PMID 42116307›Full record

ArticleMedicine2026

Potential causal role of mitochondrial biological effects in COVID-19: Evidence from Mendelian randomization study.

Jiaxin Li, Hongbo Ding, Sumin Zuo, Yi Wang, Ying Guo, Senlin Niu, Zhe-An Shen, Yongan Xu

Abstract read
In one paragraph

Article in Medicine, 2026. 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

8 authors.

Jiaxin LiDepartment of Emergency Medicine, Second Affiliated Hospital & Institute of Emergency Medicine, Zhejiang University School of Medicine, Hangzhou, P.R. China.
Hongbo DingDepartment of Emergency Medicine, Second Affiliated Hospital & Institute of Emergency Medicine, Zhejiang University School of Medicine, Hangzhou, P.R. China.
Sumin ZuoDepartment of Internal Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, P.R. China.
Yi WangHangzhou Hospital of Traditional Chinese Medicine, Hangzhou, P.R. China.
Ying GuoDepartment of Emergency Medicine, Suzhou TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Suzhou, P.R. China.
Senlin NiuDepartment of Internal Medicine, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, P.R. China.
Zhe-An ShenSchool of Public Health, Zhejiang University, Hangzhou, P.R. China.
Yongan XuDepartment of Emergency Medicine, Second Affiliated Hospital & Institute of Emergency Medicine, Zhejiang University School of Medicine, Hangzhou, P.R. China.ORCID 0000-0002-8547-0014

Funding

Major Project of National-Zhejiang Provincial Administration of Traditional Chinese Medicine GZY-ZJ-KJ-24030
6 · The paper itself

Abstract

Potential mitochondrial biomarkers play an important role in probing COVID-19 physiopathology. We aimed to investigate the causal effects of 82 mitochondrial biomarkers on COVID-19 in a population-based public database. Based on the IEU Open genome-wide association studies database and the genome-wide association studies Catalog database, the significant single-nucleotide polymorphisms of mitochondrial and COVID-19 were extracted as instrumental variables. The inverse variance weighting (IVW) method and the Bayesian weighting method in the two-sample Mendelian randomization (MR) method were used for the main causal analysis. Sensitivity tests were performed using the MR-Egger regression test, the MR-PRESSO test for multiple residuals and outliers, the Cochran Q statistic, and the leave-one-out method, and directionality tests were performed using the MR-Steiger method. The protective factors of COVID-19 were determined by IVW method and Bayesian weighting method: Apoptosis-inducing factor 1, mitochondrial (PIVW = 9.6 × 10-5; PBWMR = 4.2 × 10-2) and risk factors: 39S ribosomal protein L33, mitochondrial (PIVW = 2.8 × 10-3; PBWMR = 1.9 × 10-3) and 39S ribosomal protein L52, mitochondrial (PIVW = 2.0 × 10-2; PBWMR = 7.3 × 10-3) and Mitochondrial ubiquitin ligase activator of NF-κB-1 (PIVW = 2.7 × 10-2; PBWMR = 4.8 × 10-2). In the sensitivity test, we did not find heterogeneity, pleiotropic and reverse causality. In this study, we identified 4 potential biomarkers of mitochondrial dysfunction associated with COVID-19, providing new insights into the realization of COVID-19 precision medicine and potential mechanisms.

Indexed as

COVID-19MitochondriaBayes TheoremBiomarkersGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotideRibosomal ProteinsRisk FactorsSARS-CoV-2BiomarkersRibosomal ProteinsBiomarkerCOVID-19Genome-wide association studyMendelian randomization analysisMitochondria

Identifiers

PMID42116307
PMCPMC13166683

What Socratic 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 Socratic graph.