Potential role for kynurenine pathway in increased COVID-19 mortality of patients with schizophrenia

IF 3.7 2区医学 Q1 PSYCHIATRY

Journal of psychiatric research Pub Date : 2025-03-01 DOI:10.1016/j.jpsychires.2025.02.030

Peng Wang , Zhen-Ying Li , Jie Wang , Kun-Ze Liu , Ya-Ru Wang , Qing-Yun Guo , Shi-Lei Wen , Pan-Li Ni , Quan-Peng Zhang , Tan Wang , Chun-Mei Gong , Wei Wan , Xi-Nan Yi , Zhi-Jian Ma , Yun-Qing Li , Li-Fang Lu , Ren-Jun Feng

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引用次数: 0

Abstract

Schizophrenia (SCZ) is a common psychiatric disorder that has complex pathological mechanisms. During the coronavirus disease 2019 (COVID-19) epidemic, patients with SCZ had substantially higher rates of infection with SARS-CoV-2, the virus that causes COVID-19, as well as higher COVID-19 mortality relative to patients without mental disorders. Previous studies suggested that COVID-19 and SCZ both involve the kynurenine metabolic pathway. This article reviews the characteristics of kynurenine metabolism in COVID-19 and SCZ, and considers the possibility that disordered kynurenine metabolism may be one cause of increased infection and COVID-19 mortality rates in the patients with SCZ. Several possible molecular mechanisms that could be involved in disease pathology are discussed.

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来源期刊

Journal of psychiatric research 医学-精神病学

CiteScore

7.30

自引率

2.10%

发文量

622

审稿时长

130 days

期刊介绍： Founded in 1961 to report on the latest work in psychiatry and cognate disciplines, the Journal of Psychiatric Research is dedicated to innovative and timely studies of four important areas of research: (1) clinical studies of all disciplines relating to psychiatric illness, as well as normal human behaviour, including biochemical, physiological, genetic, environmental, social, psychological and epidemiological factors; (2) basic studies pertaining to psychiatry in such fields as neuropsychopharmacology, neuroendocrinology, electrophysiology, genetics, experimental psychology and epidemiology; (3) the growing application of clinical laboratory techniques in psychiatry, including imagery and spectroscopy of the brain, molecular biology and computer sciences;