Evidence map›Paper›PMID 42568671›Full record

ArticleFrontiers in microbiology2026

Metabolic reprogramming is associated with symptomatic COVID-19: a serum proteomics and causal inference study identifying ALDOB and glycerol as candidate metabolic correlates.

Nana Guo, Xianlei Zhou, Ziyi Pang, Yan Li, Caixiao Jiang, Minghao Geng, Wentao Wu, Xu Han, Qi Li

Abstract read
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Article in Frontiers in microbiology, 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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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

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3 · Its place in the literature

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4 · The record

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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

9 authors.

Nana Guo *Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Xianlei Zhou *School of Public Health, North China University of Science and Technology, Tangshan, Hebei, China.
Ziyi PangSchool of Public Health, Hebei University, Baoding, Hebei, China.
Yan LiHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Caixiao JiangHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Minghao GengHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Wentao WuHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Xu HanHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.
Qi LiHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Coronavirus disease 2019 (COVID-19) shows prominent clinical heterogeneity, presenting two distinct clinical phenotypes including asymptomatic infection and severe symptomatic disease, yet the molecular mechanisms driving such phenotypic differences remain unclear. This study aimed to dissect the molecular basis of divergent COVID-19 clinical manifestations by combining serum proteomics and Mendelian randomization causal inference methods. Methods: Serum samples from healthy controls, asymptomatic patients (acute and recovery phases), and symptomatic patients (incubation, acute, recovery phases) were subjected to label-free quantitative proteomics to screen stage-specific protein signatures. Functional enrichment analysis was conducted to mine critical biological pathways. Two MR strategies, two-sample MR and SMR, were utilized to infer causal associations between circulating metabolic proteins/traits and COVID-19 susceptibility. This retrospective research did not involve clinical trials (Clinical trial number: Not applicable). Results: In total, 662 quantifiable serum proteins were detected. Principal component analysis revealed partial separation but obvious overlap across clinical subgroups. Asymptomatic patients only exhibited mild dysregulation of coagulation and innate immune-related proteins, whereas symptomatic patients displayed widespread disorders in coagulation, immunity, metabolism and tissue homeostasis. Five conserved hypoxia and metabolic regulatory proteins (ALDOA, ALDOB, LDHA, LDHB, TFRC) were differentially expressed in both phenotypes. Glycolysis and HIF-1 signaling pathways were disturbed in both groups, with more severe protein expression changes in symptomatic individuals. SMR analysis detected a nominally significant association between ALDOB cis-eQTL variants and COVID-19 risk ( Discussion: Varied severity of host metabolic-immune dysregulation accounts for different COVID-19 clinical phenotypes. Asymptomatic carriers only experience mild coagulation-immune and metabolic disturbances, whereas symptomatic patients suffer substantially aggravated dysfunction of core metabolic pathways, which provides proteomic and causal evidence for the heterogeneous clinical manifestations of COVID-19.

Indexed as

ALDOBclinical heterogeneityCOVID-19glycerolMendelian randomizationmetabolic reprogrammingserum proteomics

Identifiers

PMID42568671
PMCPMC13447426

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.