m+Medelevator.RU
← Поиск публикаций
BMC infectious diseases · 2025

The ZNF717-rs2918520 genotype contributes to COVID-19 severity: a Taiwanese cohort study.

СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Lin Yang-Hsiang, Yu Jen, Teng Yu-Chuan, Huang Chung-Guei, Lim Siew-Na, Lai Ming-Wei, Lin Wey-Ran

Аннотация

BACKGROUND: Coronavirus disease 2019 (COVID-19) has been a challenging pandemic since late 2019 and patients with COVID-19-related severe respiratory failure associated with high mortality rates worldwide. Genetic information such as single nucleotide polymorphisms (SNPs) serves as a predictor or prognostic factor in disease development and cancer progression. This study aimed to explore the clinical associations of SNPs with mild and severe COVID-19 symptoms in the Taiwanese population.

METHODS: SARS-CoV-2-infected patients in pilot cohort study (cohort 1, n = 39) and validation cohort (cohort 2, n = 71) were enrolled. The clinical significance of SNPs in those patients with mild and severe symptoms was investigated by whole exon sequencing, polymerase chain reaction and Sanger sequencing.

RESULTS: The current study investigated Taiwanese patients with COVID-19. We found that clinical parameters such as age, aspartate aminotransferase, blood urea nitrogen, C-reactive protein, ferritin, and segment were positively associated with severe COVID-19 symptoms but that albumin, lymphocytes, and basophils correlated negatively with severe symptoms in two independent cohorts. By conducting whole-exome sequencing, we identified a novel SNP, ZNF717-rs2918520, the GG genotype of which was significantly associated with severe symptoms in COVID-19 patients.

CONCLUSIONS: Our findings highlight that the ZNF717-rs2918520 GG genotype may serve as a predictor for evaluating the severity of COVID-19 in Taiwan.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты