Biomarkers of ageing and frailty may predict COVID-19 severity

被引:23
|
作者
Wanhella, Kailyn J. [1 ]
Fernandez-Patron, Carlos [1 ]
机构
[1] Univ Alberta, Coll Hlth Sci, Fac Med & Dent, Dept Biochem, Edmonton, AB T6G 2H7, Canada
关键词
COVID-19; SARS-CoV-2; Biomarker; Coronavirus; Frailty; Disease tolerance; SEVERE CORONAVIRUS DISEASE; SERUM AMYLOID-A; WUHAN; ASSOCIATION; MECHANISMS; PROTEOMICS; TOLERANCE; INFECTION; INTERPLAY; PROTEIN;
D O I
10.1016/j.arr.2021.101513
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Coronavirus Disease 2019 (COVID-19) is caused by the novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) - the culprit of an ongoing pandemic responsible for the loss of over 3 million lives worldwide within a year and a half. While the majority of SARS-CoV-2 infected people develop no or mild symptoms, some become severely ill and may die from COVID-19-related complications. In this review, we compile and comment on a number of biomarkers that have been identified and are expected to enhance the detection, protection and treatment of individuals at high risk of developing severe illnesses, as well as enable the monitoring of COVID-19 prognosis and responsiveness to therapeutic interventions. Consistent with the emerging notion that the majority of COVID-19 deaths occur in older and frail individuals, we researched the scientific literature and report the identification of a subset of COVID-19 biomarkers indicative of increased vulnerability to developing severe COVID-19 in older and frail patients. Mechanistically, increased frailty results from reduced disease tolerance, a phenomenon aggravated by ageing and comorbidities. While biomarkers of ageing and frailty may predict COVID-19 severity, biomarkers of disease tolerance may predict resistance to COVID-19 with socio-economic factors such as access to adequate health care remaining as major nonbiomolecular influencers of COVID-19 outcomes.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Accelerated immune ageing is associated with COVID-19 disease severity
    Janet M. Lord
    Tonny Veenith
    Jack Sullivan
    Archana Sharma-Oates
    Alex G. Richter
    Neil J. Greening
    Hamish J. C. McAuley
    Rachael A. Evans
    Paul Moss
    Shona C. Moore
    Lance Turtle
    Nandan Gautam
    Ahmed Gilani
    Manan Bajaj
    Louise V. Wain
    Christopher Brightling
    Betty Raman
    Michael Marks
    Amisha Singapuri
    Omer Elneima
    Peter J. M. Openshaw
    Niharika A. Duggal
    [J]. Immunity & Ageing, 21
  • [22] Does the Thymus Index Predict COVID-19 Severity?
    Berkan, Ocal
    Kiziloglu, Ilker
    Keles, Ercan
    Duman, Lale
    Bozkurt, Mehmet
    Adibelli, Zehra
    Oncel, Guray
    Berkan, Nevsin
    Keles, Yildiz Ekemen
    Jones, Jeremy H.
    Inan, Abdurrahman Hamdi
    Solak, Cihan
    Emiroglu, Mustafa
    Yildirim, Mehmet
    Dursun, Ayberk
    Ilhan, Enver
    Camyar, Asuman
    Inceer, Ozge
    Nart, Ahmet
    Yilmaz, Mehmet Birhan
    [J]. JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2023, 47 (02) : 236 - 243
  • [23] A Bayesian Model to Predict COVID-19 Severity in Children
    Dominguez-Rodriguez, Sara
    Villaverde, Serena
    Sanz-Santaeufemia, Francisco J.
    Grasa, Carlos
    Soriano-Arandes, Antoni
    Saavedra-Lozano, Jesus
    Fumado, Victoria
    Epalza, Cristina
    Serna-Pascual, Miquel
    Alonso-Cadenas, Jose A.
    Rodriguez-Molino, Paula
    Pujol-Morro, Joan
    Aguilera-Alonso, David
    Simo, Silvia
    Villanueva-Medina, Sara
    Isabel Iglesias-Bouzas, M.
    Jose Mellado, M.
    Herrero, Blanca
    Melendo, Susana
    De la Torre, Mercedes
    Del Rosal, Teresa
    Soler-Palacin, Pere
    Calvo, Cristina
    Urretavizcaya-Martinez, Maria
    Pareja, Marta
    Ara-Montojo, Fatima
    Ruiz del Prado, Yolanda
    Gallego, Nerea
    Illan Ramos, Marta
    Cobos, Elena
    Tagarro, Alfredo
    Moraleda, Cinta
    [J]. PEDIATRIC INFECTIOUS DISEASE JOURNAL, 2021, 40 (08) : E287 - E293
  • [24] COVID-19 and Frailty
    Ciarambino, Tiziana
    Crispino, Pietro
    Minervini, Giovanni
    Giordano, Mauro
    [J]. VACCINES, 2023, 11 (03)
  • [25] Genetic factors may affect the severity of COVID-19
    Zheng, Zhenzhen
    Zhou, Yuanming
    Sun, Xishi
    Wang, Zhiqiang
    Wang, Chaoyu
    Lin, Jiangpeng
    Wang, Ziyi
    Liu, Yanhong
    Chen, Xiaojuan
    Li, Nanhong
    Zeng, Yu
    Chen, Riken
    [J]. INTERNATIONAL JOURNAL OF CARDIOLOGY, 2021, 342 : 126 - 127
  • [26] Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique
    Rahman, Tawsifur
    Al-Ishaq, Fajer A.
    Al-Mohannadi, Fatima S.
    Mubarak, Reem S.
    Al-Hitmi, Maryam H.
    Islam, Khandaker Reajul
    Khandakar, Amith
    Hssain, Ali Ait
    Al-Madeed, Somaya
    Zughaier, Susu M.
    Chowdhury, Muhammad E. H.
    [J]. DIAGNOSTICS, 2021, 11 (09)
  • [27] Low serum level of apolipoprotein A1 may predict the severity of COVID-19: A retrospective study
    Zhu, Zhe
    Yang, Yayun
    Fan, Lingyan
    Ye, Shuyuan
    Lou, Kehong
    Hua, Xin
    Huang, Zuoan
    Shi, Qiaoyun
    Gao, Guosheng
    [J]. JOURNAL OF CLINICAL LABORATORY ANALYSIS, 2021, 35 (08)
  • [28] Laboratory Biomarkers Predicting COVID-19 Severity in the Emergency Room
    Assandri, Roberto
    Buscarini, Elisabetta
    Canetta, Ciro
    Scartabellati, Alessandro
    Vigano, Giovanni
    Montanelli, Alessandro
    [J]. ARCHIVES OF MEDICAL RESEARCH, 2020, 51 (06) : 598 - 599
  • [29] Biomarkers of biological age as predictors of COVID-19 disease severity
    Lauc, Gordan
    Sinclair, David
    [J]. AGING-US, 2020, 12 (08): : 6490 - 6491
  • [30] COVID-19 biomarkers for severity mapped to polycystic ovary syndrome
    Abu Saleh Md Moin
    Thozhukat Sathyapalan
    Stephen L. Atkin
    Alexandra E. Butler
    [J]. Journal of Translational Medicine, 18