Prazanowska Karolina Hanna, Kim Tae-Hun, Kang Jung Won, Jin Young-Hee, Kwon Sunoh, Lim Su Bin
Department of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon, 16499, South Korea.
Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, 16499, South Korea.
Sci Data. 2025 Jan 30;12(1):177. doi: 10.1038/s41597-025-04510-1.
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.
在2019冠状病毒病（COVID-19）大流行之后，以持续呼吸和认知功能障碍为特征的“长新冠”的出现，已成为一个重大的健康问题。这使得补充和替代医学在应对这种情况中发挥的作用越来越大。然而，我们对用于治疗“长新冠”的草药的有效性和安全性的理解仍然有限。在此，我们展示了一个外周全血细胞的单细胞RNA测序（scRNA-seq）数据集，该数据集来自一项临床研究的参与者，该研究涉及三种市售草药，旨在治疗“长新冠”中的疲劳和脑雾症状。该数据集包含181,205个通过质量控制（QC）的细胞以及临床元数据，能够对治疗前后的免疫细胞群体进行比较分析。为确保我们数据集的技术有效性，我们在研究的各个阶段，包括样本制备、测序和生物信息数据分析阶段，都进行了严格的质量检查。这些转录组数据可作为一种资源，加深我们对草药在“长新冠”管理中作用的理解。
