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COVID-19 induces new-onset insulin resistance and lipid metabolic dysregulation via regulation of secreted metabolic factors
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作者 Xi he Chenshu Liu +46 位作者 Jiangyun Peng Zilun Li Fang Li Jian Wang Ao Hu Meixiu Peng Kan Huang Dongxiao Fan Na Li Fuchun Zhang Weiping Cai Xinghua Tan Zhongwei Hu Xilong Deng Yueping Li Xiaoneng Mo Linghua Li Yaling Shi Li Yang Yuanyuan Zhu Yanrong Wu Huichao Liang Baolin Liao Wenxin Hong ruiying he Jiaojiao Li Pengle Guo Youguang Zhuo Lingzhai Zhao Fengyu Hu Wenxue Li Wei Zhu Zefeng Zhang Zeling Guo Wei Zhang Xiqiang Hong Wei kang Cai Lei Gu Ziming Du Yang Zhang Jin Xu Tao Zuo Kai Deng Li Yan Xinwen Chen Sifan Chen Chunliang Lei 《Signal Transduction and Targeted Therapy》 SCIE CSCD 2022年第1期270-281,共12页
Abnormal glucose and lipid metabolism in COVID-19 patients were recently reported with unclear mechanism.In this study,we retrospectively investigated a cohort of COVID-19 patients without pre-existing metabolic-relat... Abnormal glucose and lipid metabolism in COVID-19 patients were recently reported with unclear mechanism.In this study,we retrospectively investigated a cohort of COVID-19 patients without pre-existing metabolic-related diseases,and found new-onset in suli n resista nee,hyperglycemia,and decreased HDL-C in these patie nts.Mecha nistically,SARS-CoV-2 infecti on in creased the expression of RE1-silencing transcription factor(REST),which modulated the expression of secreted metabolic factors including myeloperoxidase,apelin,and myostatin at the transcriptional level,resulting in the perturbation of glucose and lipid metabolism.Furthermore,several lipids,including(±)5-HETE,(±)12-HETE,propionic acid,and isobutyric acid were identified as the potential biomarkers of COVID-19-induced metabolic dysregulation,especially in insulin resistance.Taken together,our study revealed insulin resistance as the direct cause of hyperglycemia upon COVID-19,and further illustrated the underlying mechanisms,providing potential therapeutic targets for COVID-19-induced metabolic complications. 展开更多
关键词 metabolism mechanism resistance
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Prevalence of bacteria, fungi, and virus coinfections with SARS-CoV-2 Omicron variant among patients with severe COVID-19 in Guangzhou, China, winter 2022
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作者 Qinghong Fan Mengling Jiang +18 位作者 Jun Zhang Guofang Tang Ming Gao Yingfen Wen Xizi Deng Jun Dai Honghao Lai Peng Qian Yaqing Lin ruiying he Liya Li Yueping Li Zhengtu Li Xuesong Liu Yimin Li Na Yu Yun Lan Fengyu Hu Feng Li 《Biosafety and Health》 CAS 2024年第2期92-97,共6页
The status of coinfection during the national outbreak of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron BA.5.2 or BF.7 in China in the winter of 2022,which is suspected to contribute substan-tiall... The status of coinfection during the national outbreak of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron BA.5.2 or BF.7 in China in the winter of 2022,which is suspected to contribute substan-tially to the overloaded severe cases,needs to be investigated.We analyzed the coinfection status of 385 severe patients infected with the Omicron variant in Guangzhou using metagenomic sequencing.We found that 317(82.3%)patients were coinfected with at least one additional pathogen(s),including bacteria(58.7%),fungi(27.1%)and viruses(73.5%).Pseudomonas aeruginosa(P.aeruginosa)(24.2%),Staphylococcus aureus(S.aur-eus)(14.0%),and Klebsiella pneumoniae(K.pneumonia)(13.4%)ranked as the top three coinfected bacteria.Aspergillus fumigatus(A.fumigatus)(39.5%),Pneumocystis jiroveci(P.jiroveci)(24.4%)and Canidia albicans(C.albicans)(22.1%)were the top three coinfected fungi.Epstein-Barr virus(EBV)(63.1%),Human herpesvirus 7(HHV-7)(34.8%),and Herpes simplex virus 1(HSV-1)(32.6%)were the top three coinfected viruses.Of note,the detection of multiple coinfections of potential pathogenic bacteria,fungi,and viruses,despite lacking con-sistent patterns,highlighted a complicated synergistic contribution to disease severity.Our study presents the most comprehensive spectrum of bacterial,fungal,and viral coinfections in Omicron-associated severe coron-avirus disease 2019(COVID-19),implying that the coinfection of conditional pathogens might synergistically deteriorate the Omicron infection outcomes. 展开更多
关键词 SARS-CoV-2 Omicron BA.5.2 Omicron BF.7 Coinfection Severeinfection
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