# Unraveling the COVID-19 Severity Hubs and Interplays in Inflammatory-Related RNA–Protein Networks

**Authors:** Heewon Park, Qingbo S. Wang, Takanori Hasegawa, Ho Namkoong, Hiroko Tanaka, Ryuji Koike, Yuko Kitagawa, Akinori Kimura, Seiya Imoto, Takanori Kanai, Koichi Fukunaga, Seishi Ogawa, Yukinori Okada, Satoru Miyano

PMC · DOI: 10.3390/ijms26094412 · 2025-05-06

## TL;DR

This study uses multi-omics data to uncover RNA–protein interactions linked to varying severity levels of COVID-19, identifying ACKR2 as a key player in severe cases.

## Contribution

The paper introduces a Japan-wide system for collecting multi-omics data and identifies ACKR2 as a critical hub in severe COVID-19 inflammation networks.

## Key findings

- ACKR2 acts as a key broker linking RNA and protein inflammation networks in critical COVID-19 cases.
- Interactions involving IL, cytokine receptors, and CCL genes are severity-specific in inflammation networks.
- High-severity cases show active RNA–protein interplay, while mild cases show weak interactions.

## Abstract

The rapid worldwide transmission of coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has led to severe cases of hypoxia, acute respiratory distress syndrome, multi-organ failure, and ultimately death. Small-scale molecular interactions have been analyzed by focusing on several genes/single genes, providing important insights; however, genome-wide multi-omics comprehensive molecular interactions have not yet been well investigated with the exception of GWAS and eQTLm, both of which show genetic risks. From April of 2020 until now, we have created a Japan-wide system, initially named the Japan COVID-19 Task Force. This system has collected more than 6500 COVID-19 patients’ peripheral blood and as much associated clinical information as possible from a network of more than 120 hospitals. DNA, RNA, serum, and plasma were extracted and stored in this bank. This study unravels the interplay of inflammatory gene networks that induce different COVID-19 severity levels (mild, moderate, severe, and critical) by using multi-omics data from the Japan COVID-19 Task Force. We analyze RNA and protein expressions to estimate severity-specific inflammation networks that uncover the interplay between RNA and protein networks via ligand–receptor pairs. Our large-scale RNA/protein expression data analysis reveals that the atypical chemokine receptor 2 (ACKR2) acts as a key broker linking RNA and protein inflammation networks to induce COVID-19 critical severity. ACKR2 emerges in RNA and protein inflammation networks, showing active interplay in high-severity cases and weak interactions in mild cases. The results also show severity-specific molecular interactions between interleukin (IL), cytokine receptor activity, cell adhesion, and interactions involving the CC chemokine ligand (CCL) gene family and ACKR2.

## Linked entities

- **Genes:** ACKR2 (atypical chemokine receptor 2) [NCBI Gene 1238], CRYGC (crystallin gamma C) [NCBI Gene 1420]
- **Diseases:** coronavirus disease 2019 (MONDO:0100096), acute respiratory distress syndrome (MONDO:0006502), multi-organ failure (MONDO:0043726)

## Full-text entities

- **Genes:** ACKR2 (atypical chemokine receptor 2) [NCBI Gene 1238] {aka CCBP2, CCR10, CCR9, CMKBR9, D6, hD6}
- **Diseases:** COVID-19 (MESH:D000086382), acute respiratory distress syndrome (MESH:D012128), Inflammatory (MESH:D007249), multi-organ failure (MESH:D009102), death (MESH:D003643), hypoxia (MESH:D000860)
- **Species:** Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Homo sapiens (human, species) [taxon 9606]

## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12072413/full.md

---
Source: https://tomesphere.com/paper/PMC12072413