Evidence map›Paper›PMID 39974632›Full record

ArticleACS pharmacology & translational science2025

Alcohol Consumption Modulates the Development of Chronic Pain in COVID-19 Patients: A Network Meta-Analysis.

Muhammed Bishir, Michael Vigorito, Ming-Huan Chan, Mohammed A S Khan, Sulie L Chang

Abstract read
In one paragraph

Article in ACS pharmacology & translational science, 2025. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Muhammed BishirInstitute of NeuroImmune Pharmacology, Seton Hall University, South Orange, New Jersey 07079, United States.
Michael VigoritoInstitute of NeuroImmune Pharmacology, Seton Hall University, South Orange, New Jersey 07079, United States.
Ming-Huan ChanInstitute of Neuroscience, National Chengchi University, Taipei 116,Taiwan.
Mohammed A S KhanInstitute of NeuroImmune Pharmacology, Seton Hall University, South Orange, New Jersey 07079, United States.
Sulie L ChangInstitute of NeuroImmune Pharmacology, Seton Hall University, South Orange, New Jersey 07079, United States.ORCID https://orcid.org/0000-0003-3865-4280

Funding

Immunomodulation of nicotine in HIV-1Tg rat brainR01DA046258 · NIDA · SETON HALL UNIVERSITY · PI CHANG, SULIE L. · 2018 to 2022
$1.7M
Involvement of microglial α7AChR in binge alcohol modulation of gut dysbiosisR21AA029925 · NIAAA · SETON HALL UNIVERSITY · PI CHANG, SULIE L., KHAN, MOHAMMED A. S. · 2022 to 2023
$402k
Effects of binge ethanol on neuroinflammation and neurodegeneration with high fat dietsR21AA030221 · NIAAA · SETON HALL UNIVERSITY · PI CHANG, SULIE L., ZHOU, HEPING · 2023 to 2023
$392k
NIAAA NIH HHS R21 AA029925NIAAA NIH HHS R21 AA030221NIDA NIH HHS R01 DA046258
6 · The paper itself

Abstract

The mechanisms underlying the onset and progression of chronic pain in COVID-19 patients have been understudied. Using network meta-analysis, we previously demonstrated that alcohol augments COVID-19 symptoms and pathologies possibly by inducing a severe cytokine storm. We and others have also reported that acute alcohol consumption produces analgesic effects, while chronic alcohol consumption results in hyperalgesia and chronic pain. This study aimed to identify the influence of alcohol consumption and COVID-19 on pain. Using publicly available curated gene expression data sets of differentially expressed genes (DEGs) in the prefrontal cortex (PFC) and amygdala of COVID-19 patients, we employed a bioinformatics application, QIAGEN ingenuity pathway analysis (IPA), to identify the key signaling pathways, upstream regulators, and biological functions in these brain areas known to play a role in pain. Canonical pathway analysis revealed activation of the neuropathic pain pathway and signaling pathways involving the cytokine storm, S100 family, IL-6, and neuroinflammation. IPA's network builder was employed to construct a network map of shared molecules between alcohol and pain-related constructs (discomfort, neuropathic pain, and inflammatory pain). The simulation of alcohol consumption inhibited pain in this network map. To study the influence of COVID-19, we overlaid the DEGs from the PFC and amygdala onto these networks, mimicking alcohol consumption during SARS-CoV-2 infection. Upregulation of molecules in the amygdala and PFC predicted an increase in neuropathic pain, as well as an increase in inflammatory pain in the PFC. Our results suggest that while alcohol consumption directly inhibits pain, the presence of COVID-19 exaggerates impaired cytokine signaling, neuroinflammation, and neuropathic pain signaling in the CNS providing novel insights into the signaling pathways associated with chronic pain of the COVID-19 patients.

Identifiers

PMID39974632
PMCPMC11833718

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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.