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A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy
Karolina Hanna Prazanowska1,2,3, Tae-Hun Kim4, Jung Won Kang5
1Department of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon, 16499, South Korea.
Insights
This study introduces a new dataset on herbal medicine effects for long COVID symptoms like fatigue and brain fog. The data analyzes immune cell changes after treatment, offering insights into herbal medicine
Area of Science:
- Immunology
- Pharmacology
- Genomics
Background:
- Long COVID presents persistent respiratory and cognitive issues, increasing interest in complementary and alternative medicine.
- The efficacy and safety of herbal medicines for long COVID are not well understood.
- Existing research lacks comprehensive data on molecular-level changes induced by herbal interventions.
Purpose of the Study:
- To generate and present a high-quality single-cell RNA sequencing (scRNA-seq) dataset from a clinical study on herbal medicines for long COVID.
- To provide a resource for analyzing immune cell population dynamics before and after herbal treatment.
- To facilitate deeper understanding of herbal medicine mechanisms in managing long COVID symptoms.
Main Methods:
- Collected peripheral whole blood samples from long COVID patients undergoing treatment with three commercial herbal medicines.
- Performed single-cell RNA sequencing (scRNA-seq) on collected blood cells.
- Implemented rigorous quality control (QC) at sample preparation, sequencing, and bioinformatic analysis stages.
- Integrated clinical metadata with scRNA-seq data for comparative analysis.
Main Results:
- Generated a dataset of 181,205 quality control-passed single cells.
- The dataset includes comprehensive transcriptomic profiles of peripheral blood immune cells.
- Clinical metadata is available for correlating cellular changes with treatment outcomes.
Conclusions:
- The presented scRNA-seq dataset offers a valuable resource for long COVID research.
- This data can elucidate the immunomodulatory effects of herbal medicines.
- Further analysis may reveal mechanisms underlying herbal treatments for long COVID-related fatigue and brain fog.
Abstract:
Following the coronavirus disease 2019 (COVID-19) pandemic, the rise of long COVID, characterized by persistent respiratory and cognitive dysfunctions, has become a significant health concern. This leads to an increased role of complementary and alternative medicine in addressing this condition. However, our comprehension of the effectiveness and safety of herbal medicines for long COVID remains limited. Here, we present a single-cell RNA sequencing (scRNA-seq) dataset of peripheral whole blood cells derived from participants in a clinical study involving three commercially available herbal medicines, targeting fatigue and brain fog in long COVID. The dataset comprises 181,205 quality control (QC)-passed cells, along with clinical metadata, enabling a comparative analysis of immune cell populations before and after treatment. To ensure the technical validity of our dataset, we implemented rigorous quality checks throughout stages of the study, including sample preparation, sequencing, and bioinformatic data analysis levels. This transcriptomic data may serve as a resource to deepen our insights into the role of herbal medicines in management of long COVID.
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