Back

Identification of Altered Potassium Channels for Drug Repurposing in Long COVID Patients

George, J. P.; Gaikwad, K. B.; Sharma, J.

2026-06-19 bioinformatics
10.64898/2026.06.18.733062 bioRxiv
Show abstract

Long COVID (LC) is a complex condition characterized by persistent, chronic multisystem manifestations, with a significant proportion of patients exhibiting neurological symptoms. Human ion channels (HICs), particularly potassium channels, are abundantly expressed in the nervous system and linked to key metabolic processes, making them potential candidates for understanding LC pathophysiology and drug repurposing. Meta-analysis of RNA-Seq datasets from COVID-19 recovered and LC patients was performed to identify altered HICs in LC. Differential gene expression analysis, functional enrichment analysis, and weighted gene co-expression network analysis (WGCNA) were performed to uncover key genes, pathways, and co-expression modules consisting of HICs, lipid metabolism-, and immune signaling-related genes. Drug-gene interaction analysis was performed to identify approved drugs targeting potential HICs. A total of 715 dysregulated genes, including eighteen HICs were identified, among which seven were potassium channels. Three significant modules containing HICs, lipid metabolism-, and immune signaling-related genes were identified and found to be associated with antigen processing and presentation, complement and coagulation cascades, and cytokine-related pathways. Approved drugs targeting KCNA6, KCNJ10, KCNN3, and KCNH4 were identified. With further experimental validation, these dysregulated potassium channels, supported by their co-expression networks and pathway associations, may act as potential candidates for drug repurposing in LC patients.

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
Scientific Reports
3612 papers in training set
Top 4%
10.1%
2
Computational and Structural Biotechnology Journal
242 papers in training set
Top 0.3%
7.0%
3
PLOS ONE
5266 papers in training set
Top 24%
7.0%
4
Journal of Translational Medicine
57 papers in training set
Top 0.1%
5.7%
5
Briefings in Bioinformatics
354 papers in training set
Top 2%
5.3%
6
eBioMedicine
183 papers in training set
Top 1%
2.7%
7
The Pharmacogenomics Journal
11 papers in training set
Top 0.1%
2.5%
8
Human Genetics and Genomics Advances
84 papers in training set
Top 1%
2.0%
9
BMC Medical Genomics
50 papers in training set
Top 0.5%
1.8%
10
Frontiers in Genetics
230 papers in training set
Top 2%
1.8%
11
Nature Communications
5641 papers in training set
Top 44%
1.8%
12
Orphanet Journal of Rare Diseases
21 papers in training set
Top 0.3%
1.7%
13
Frontiers in Neurology
102 papers in training set
Top 2%
1.5%
50% of probability mass above
14
International Journal of Molecular Sciences
494 papers in training set
Top 9%
1.4%
15
Clinical Pharmacology & Therapeutics
25 papers in training set
Top 0.2%
1.4%
16
npj Systems Biology and Applications
125 papers in training set
Top 1%
1.2%
17
Genes
144 papers in training set
Top 3%
1.2%
18
BioData Mining
22 papers in training set
Top 0.4%
1.2%
19
PLOS Computational Biology
1863 papers in training set
Top 16%
1.2%
20
iScience
1154 papers in training set
Top 24%
1.2%
21
JCI Insight
277 papers in training set
Top 5%
1.2%
22
Communications Biology
993 papers in training set
Top 20%
1.2%
23
Journal of Advanced Research
14 papers in training set
Top 0.1%
1.2%
24
Frontiers in Immunology
638 papers in training set
Top 8%
1.1%
25
Journal of Personalized Medicine
28 papers in training set
Top 0.8%
1.1%
26
British Journal of Pharmacology
40 papers in training set
Top 0.6%
1.1%
27
Aging
75 papers in training set
Top 1%
1.1%
28
eLife
5828 papers in training set
Top 61%
1.0%
29
International Journal of Biological Sciences
10 papers in training set
Top 0.1%
1.0%
30
PROTEOMICS
43 papers in training set
Top 0.7%
0.9%