A genetic variant associated with aquaporin 3 expression is correlated to in-hospital death in COVID-19 patients with extracellular hyperosmolality

Hyperosmolality is increasingly recognized as a factor contributing to severe COVID-19. Recently, a genetic variant near the aquaporin 3 (<i>AQP3</i>) water channel was associated with severe COVID-19 [rs60840586:G; odds ratio (OR): 1.07, <i>P</i> = 2.5 × 10<sup>-9</sup>]. The variant is known to increase gene expression of AQP3 in several organs, including the lung [normalized expression scores (NES) = 0.33, <i>P</i> = 4.1 × 10<sup>-20</sup>] in GTEx. In this study, we investigated 576 patients in the Biobanque Quebecoise de la COVID-19 (BQC-19) with both genetic and clinical data available. We estimated plasma osmolality using the formula: eOSM = 2 × [Na<sup>+</sup>] + 2 × [K<sup>+</sup>] + [Urea] + [Glucose]. Using a logistic regression of mortality against eOSM, genotype at rs60840586, sex, age, and the first 10 genetic principal components, we confirm that hyperosmolality is associated with COVID-19 mortality (OR = 2.06 [95% CI = 1.62-2.65], <i>P</i> = 9.13 × 10<sup>-9</sup>). Interestingly, we found that the risk of death linked to hyperosmolality is influenced by the <i>AQP3</i> variant rs60840586:G genotype (OR = 1.95 [95% CI = 1.22-3.28], <i>P</i> = 0.0075). However, the rs60840586 genotype did not independently affect mortality in this cohort. These findings suggest that the body's ability to regulate and accommodate hyperosmolality may be disrupted by overexpression of <i>AQP3</i>, potentially worsening outcomes in COVID-19. Given the role of AQP3 in water transport and homeostasis, further defining the functionality of its variants may provide key insights into COVID-19 severity and guide clinical management strategies, particularly in critically ill patients with hyperosmolality.<b>NEW & NOTEWORTHY</b> A genetic variant near water channel <i>AQP3</i>, linked to severe COVID-19, amplifies the risk of death in patients with elevated plasma osmolality. In patients hospitalized with COVID-19, we show that although the variant does not affect systemic osmolality directly, it interacts with hyperosmolality to increase mortality risk. These findings highlight a potential mechanism where AQP3 overexpression disrupts cellular water handling during critical illness, offering new insight into the role of water balance in COVID-19 pathophysiology.

Authors

Institutions

Publication Details

Journal
Physiological Genomics
Published
2025-04-21
DOI
https://doi.org/10.1152/physiolgenomics.00174.2024
Primary Topic
Ion Transport and Channel Regulation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A genetic variant associated with aquaporin 3 expression is correlated to in-hospital death in COVID-19 patients with extracellular hyperosmolality

Tianyuan Lu, Satoshi Yoshiji, Amanda Marks, J. Brent Richards et al.
Physiological Genomics
Ion Transport and Channel Regulation
article

A genetic variant associated with aquaporin 3 expression is correlated to in-hospital death in COVID-19 patients with extracellular hyperosmolality

Tianyuan Lu, Satoshi Yoshiji, Amanda Marks, J. Brent Richards, Hugo Zeberg, Michael Hultström, Miklós Lipcsey, Vincenzo Forgetta, Tomoko Nakanishi, Yossi Farjoun, David Morrison, Robert Frithiof, Guillaume Butler‐Laporte, Yiheng Chen
article en

Abstract

Hyperosmolality is increasingly recognized as a factor contributing to severe COVID-19. Recently, a genetic variant near the aquaporin 3 (<i>AQP3</i>) water channel was associated with severe COVID-19 [rs60840586:G; odds ratio (OR): 1.07, <i>P</i> = 2.5 × 10<sup>-9</sup>]. The variant is known to increase gene expression of AQP3 in several organs, including the lung [normalized expression scores (NES) = 0.33, <i>P</i> = 4.1 × 10<sup>-20</sup>] in GTEx. In this study, we investigated 576 patients in the Biobanque Quebecoise de la COVID-19 (BQC-19) with both genetic and clinical data available. We estimated plasma osmolality using the formula: eOSM = 2 × [Na<sup>+</sup>] + 2 × [K<sup>+</sup>] + [Urea] + [Glucose]. Using a logistic regression of mortality against eOSM, genotype at rs60840586, sex, age, and the first 10 genetic principal components, we confirm that hyperosmolality is associated with COVID-19 mortality (OR = 2.06 [95% CI = 1.62-2.65], <i>P</i> = 9.13 × 10<sup>-9</sup>). Interestingly, we found that the risk of death linked to hyperosmolality is influenced by the <i>AQP3</i> variant rs60840586:G genotype (OR = 1.95 [95% CI = 1.22-3.28], <i>P</i> = 0.0075). However, the rs60840586 genotype did not independently affect mortality in this cohort. These findings suggest that the body's ability to regulate and accommodate hyperosmolality may be disrupted by overexpression of <i>AQP3</i>, potentially worsening outcomes in COVID-19. Given the role of AQP3 in water transport and homeostasis, further defining the functionality of its variants may provide key insights into COVID-19 severity and guide clinical management strategies, particularly in critically ill patients with hyperosmolality.<b>NEW & NOTEWORTHY</b> A genetic variant near water channel <i>AQP3</i>, linked to severe COVID-19, amplifies the risk of death in patients with elevated plasma osmolality. In patients hospitalized with COVID-19, we show that although the variant does not affect systemic osmolality directly, it interacts with hyperosmolality to increase mortality risk. These findings highlight a potential mechanism where AQP3 overexpression disrupts cellular water handling during critical illness, offering new insight into the role of water balance in COVID-19 pathophysiology.

Physiological GenomicsVol. 57(6)
Broad Institute (US), Uppsala University (SE), King's College London (GB), Kyoto University (JP), Karolinska Institutet (SE), Fulcrum Therapeutics (United States) (US), Max Planck Institute for Evolutionary Anthropology (DE), McGill University (CA)
Good health and well-being
Openalex Percentile: Top 93%
Ion Transport and Channel Regulation
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.