Seasonal variation in the associations between self-reported long-COVID symptoms and IL-6 signalling-related factors (particularly the rs2228145 variant of the IL-6R gene): A clinical study.

This observational study focused on the impact of Interleukin-6 (IL-6)-related factors (notably the IL-6 receptor (IL-6R) gene's rs2228145 polymorphism) on long-COVID risk in individuals who had previously experienced COVID-19 infection(s). The purpose of the study was to better understand such factors' contribution to long-COVID risk, and thus possibly initiate future strategies for using IL-6-related factors as biomarkers predictive of risk (while also obtaining data that may influence long-COVID management and treatment more generally). DNA and blood samples, plus questionnaire responses regarding long-COVID symptoms (including chronic fatigue and cognitive impairment), were collected from 175 participants who had previously experienced COVID-19 infection(s). Potential associations between self-reported long-COVID symptoms and participants' rs2228145 genotypes (determined using TaqMan-based genotyping assays) and/or their circulating IL-6, sIL-6R and sgp130 levels (determined using ELISA) were evaluated. Univariate-regression analyses demonstrated that odds of exhibiting long-COVID symptoms increased with severity/number of previous COVID-19 infection(s) and with hypertension as a co-morbidity, while vaccination decreased the likelihood of developing long-COVID. While long-COVID sufferers exhibited higher IL-6 signalling activity than healthy control individuals, rs2228145 genotype was not associated with long-COVID odds-ratios in- the entire-study cohort. Following identification of significant seasonal variations within our dataset, the entire-study cohort was stratified depending on when samples/questionnaire responses were obtained. In the resulting 'summer' sub-cohort (but not the 'winter' sub-cohort), the rs2228145 AA genotype was significantly over-represented amongst those exhibiting long-COVID symptoms, and long-COVID odds-ratios were significantly reduced for the CC and AC genotypes. While interpretation is complicated by seasonal variations, these findings may be of medical/biomedical value. Importantly, as IL-6 was higher in long-COVID sufferers than healthy controls, and rs2228145 AA genotype-bearing individuals within our 'summer' sub-cohort were at elevated risk of developing long-COVID, these findings point towards possible future use of IL-6 and/or rs2228145 genotype as biomarkers predictive of long-COVID risk, which may bring advantages regarding management and treatment of long-COVID.

Authors

Institutions

Publication Details

Journal
Cytokine
Published
2025-02-22
DOI
https://doi.org/10.1016/j.cyto.2025.156884
Citations
1
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
1.39
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonal variation in the associations between self-reported long-COVID symptoms and IL-6 signalling-related factors (particularly the rs2228145 variant of the IL-6R gene): A clinical study.

Alan Dodd, Lee Butcher, Rebecca Aicheler, Brian P. Tennant et al.
1 citations
Cytokine
Long-Term Effects of COVID-19
1.39
article

Seasonal variation in the associations between self-reported long-COVID symptoms and IL-6 signalling-related factors (particularly the rs2228145 variant of the IL-6R gene): A clinical study.

Alan Dodd, Lee Butcher, Rebecca Aicheler, Brian P. Tennant, Ian J. Massey, John Geen, K. R. Rees, Ceri Lynch, Richard Webb, Keith Morris
article en
1 citations

Abstract

This observational study focused on the impact of Interleukin-6 (IL-6)-related factors (notably the IL-6 receptor (IL-6R) gene's rs2228145 polymorphism) on long-COVID risk in individuals who had previously experienced COVID-19 infection(s). The purpose of the study was to better understand such factors' contribution to long-COVID risk, and thus possibly initiate future strategies for using IL-6-related factors as biomarkers predictive of risk (while also obtaining data that may influence long-COVID management and treatment more generally). DNA and blood samples, plus questionnaire responses regarding long-COVID symptoms (including chronic fatigue and cognitive impairment), were collected from 175 participants who had previously experienced COVID-19 infection(s). Potential associations between self-reported long-COVID symptoms and participants' rs2228145 genotypes (determined using TaqMan-based genotyping assays) and/or their circulating IL-6, sIL-6R and sgp130 levels (determined using ELISA) were evaluated. Univariate-regression analyses demonstrated that odds of exhibiting long-COVID symptoms increased with severity/number of previous COVID-19 infection(s) and with hypertension as a co-morbidity, while vaccination decreased the likelihood of developing long-COVID. While long-COVID sufferers exhibited higher IL-6 signalling activity than healthy control individuals, rs2228145 genotype was not associated with long-COVID odds-ratios in- the entire-study cohort. Following identification of significant seasonal variations within our dataset, the entire-study cohort was stratified depending on when samples/questionnaire responses were obtained. In the resulting 'summer' sub-cohort (but not the 'winter' sub-cohort), the rs2228145 AA genotype was significantly over-represented amongst those exhibiting long-COVID symptoms, and long-COVID odds-ratios were significantly reduced for the CC and AC genotypes. While interpretation is complicated by seasonal variations, these findings may be of medical/biomedical value. Importantly, as IL-6 was higher in long-COVID sufferers than healthy controls, and rs2228145 AA genotype-bearing individuals within our 'summer' sub-cohort were at elevated risk of developing long-COVID, these findings point towards possible future use of IL-6 and/or rs2228145 genotype as biomarkers predictive of long-COVID risk, which may bring advantages regarding management and treatment of long-COVID.

CytokineVol. 189
Cwm Taf University Health Board (GB), Cardiff Metropolitan University (GB)
Zero hunger
Openalex Percentile: Top 23%
Long-Term Effects of COVID-19
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.