Since the first appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in 2019, the virus is still evolving and mutating until now. In this study, we collected 6 throat swabs from patients who diagnosed with COVID-19 in Inner Mongolia, China, to understand the entry of multiple SARS-CoV-2 variants into Inner Mongolia and analyze the relationships between variants and clinical features observed in infected patients. In addition, we performed a combined analysis of clinical parameters associated with SARS-CoV-2 variants of interest, pedigree analysis, and detection of single-nucleotide polymorphisms. Our results showed that the clinical symptoms were generally mild although some patients demonstrated some degree of liver function abnormalities, and the SARS-CoV-2 strain was related to the Delta variant (B.1.617.2), AY.122 lineage. The epidemiological investigations and clinical manifestations confirmed that the variant exhibits strong transmission, a high viral load, and moderate clinical symptoms. SARS-CoV-2 has undergone extensive mutations in various hosts and countries. Timely monitoring of virus mutation can help to monitor the spread of infection and characterize the diversity of genomic variants, thus limiting future waves of SARS-CoV-2 infection.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006559PMC
http://dx.doi.org/10.1007/s11262-023-01986-0DOI Listing

Publication Analysis

Top Keywords

inner mongolia
12
analysis clinical
8
mongolia china
8
sars-cov-2 variants
8
clinical symptoms
8
sars-cov-2
7
clinical
6
variants
5
comprehensive analysis
4
clinical indications
4

Similar Publications

Osteoarthritis (OA) is heterogeneous and involves structural changes in the whole joint, such as cartilage, meniscus/labrum, ligaments, and tendons, mainly with short T2 relaxation times. Detecting OA before the onset of irreversible changes is crucial for early proactive management and limit growing disease burden. The more recent advanced quantitative imaging techniques and deep learning (DL) algorithms in musculoskeletal imaging have shown great potential for visualizing "pre-OA.

View Article and Find Full Text PDF

deep-AMPpred: A Deep Learning Method for Identifying Antimicrobial Peptides and Their Functional Activities.

J Chem Inf Model

January 2025

School of Information and Artificial Intelligence, Anhui Provincial Engineering Research Center for Beidou Precision Agriculture Information, Key Laboratory of Agricultural Sensors for Ministry of Agriculture and Rural Affairs, Anhui Agricultural University, Hefei, Anhui 230036, China.

Antimicrobial peptides (AMPs) are small peptides that play an important role in disease defense. As the problem of pathogen resistance caused by the misuse of antibiotics intensifies, the identification of AMPs as alternatives to antibiotics has become a hot topic. Accurately identifying AMPs using computational methods has been a key issue in the field of bioinformatics in recent years.

View Article and Find Full Text PDF

In the last decade, the emergence of variant strains of avian orthoreovirus (ARV) has caused an enormous economic impact on the poultry industry across China and other countries. This study aimed to evaluate the molecular evolution of the ARV lineages detected in Chinese commercial broiler farms. Firstly, ARV isolation and identification of commercial broiler arthritis cases from different provinces in China from 2016 to 2021 were conducted.

View Article and Find Full Text PDF

The lateral flow assay is a strip-based analytical method for the portable and convenient detection of analytes of interest. It has the advantages of visual observation, autonomous sample flow, fast coloration time, minimal tedious operation procedures, and reliance on specialized instruments. However, the rough surface of the nitrocellulose membrane renders it difficult for the immobilized nucleic acids to remain in an ordered arrangement, and the immobilized nucleic acids are also liable to be digested in a complex matrix, inducing limited sensitivity and anti-interference.

View Article and Find Full Text PDF

Air pollution and breast cancer risk: a Mendelian randomization study.

Int J Environ Health Res

January 2025

Department of Oncology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Previous research yields inconsistent findings on the association between air pollution and breast cancer risk, with no definitive causal relationship established. To address this, we conducted a two-sample Mendelian randomization study on data from the IEU open GWAS databases and the Breast Cancer Association Consortium to explore the potential link between air pollution (including PM, PM absorbance, PM, PM, NO, and NO) and breast cancer risk. We found that PM (odds ratio (OR) = 1.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!