Integrated bioinformatics to identify potential key biomarkers for COVID-19-related chronic urticaria.

Zhang, Teng; Feng, Hao; Zou, Xiaoyan; Peng, Shixiong

Zhang, Teng; Feng, Hao; Zou, Xiaoyan; Peng, Shixiong.

Afiliación

Zhang T; Department of Dermatology, Changsha Hospital of Traditional Chinese Medicine (Changsha Eighth Hospital), Changsha, China.
Feng H; Department of Dermatology, Hunan Provincial People's Hospital, Changsha, China.
Zou X; Department of Dermatology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Peng S; Department of Dermatology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Front Immunol ; 13: 1054445, 2022.

Article en En | MEDLINE | ID: mdl-36531995

Asunto(s)

COVID-19; Urticaria Crónica; MicroARNs; ARN Largo no Codificante; Humanos; COVID-19/genética; Biología Computacional; Biomarcadores; MicroARNs/genética

Palabras clave

COVID-19; bioinformatics; biomarker; chronic Urticaria (CU); immunology

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 4_TD Problema de salud: 4_pneumonia Asunto principal: MicroARNs / ARN Largo no Codificante / Urticaria Crónica / COVID-19 Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Front Immunol Año: 2022 Tipo del documento: Article País de afiliación: China

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