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The preventive strategy for pandemics in the elderly is to collect in advance samples & data to counteract chronic inflammation (inflammaging).
Fuellen, Georg; Liesenfeld, Oliver; Kowald, Axel; Barrantes, Israel; Bastian, Manuela; Simm, Andreas; Jansen, Ludger; Tietz-Latza, Alexander; Quandt, Dagmar; Franceschi, Claudio; Walter, Michael.
  • Fuellen G; Rostock University Medical Center, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock, Germany. Electronic address: fuellen@uni-rostock.de.
  • Liesenfeld O; Inflammatix Inc., Clinical Affairs, Burlingame, CA, USA.
  • Kowald A; Rostock University Medical Center, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock, Germany.
  • Barrantes I; Rostock University Medical Center, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock, Germany.
  • Bastian M; Rostock University Medical Center, Institute for Clinical Chemistry and Laboratory Medicine, Rostock, Germany.
  • Simm A; University Hospital Halle, Clinic for Heart Surgery, Halle, Germany.
  • Jansen L; University of Rostock, Institute for Philosophy, Rostock, Germany.
  • Tietz-Latza A; Rostock University Medical Center, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock, Germany.
  • Quandt D; Medical Faculty of Martin Luther University Halle-Wittenberg, Institute for Anatomy and Cell Biology, Halle, Germany; REMEDI, CÚRAM, School of Medicine, National University of Ireland, Galway, Ireland.
  • Franceschi C; Lobachevsky University, Laboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Nizhny Novgorod, Russia.
  • Walter M; Rostock University Medical Center, Institute for Clinical Chemistry and Laboratory Medicine, Rostock, Germany; Institute of Laboratory Medicine, Clinical Chemistry, and Pathobiochemistry, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berl
Ageing Res Rev ; 62: 101091, 2020 09.
Article in English | MEDLINE | ID: covidwho-343168
ABSTRACT
Fighting the current COVID-19 pandemic, we must not forget to prepare for the next. Since elderly and frail people are at high risk, we wish to predict their vulnerability, and intervene if possible. For example, it would take little effort to take additional swabs or dried blood spots. Such minimally-invasive sampling, exemplified here during screening for potential COVID-19 infection, can yield the data to discover biomarkers to better handle this and the next respiratory disease pandemic. Longitudinal outcome data can then be combined with other epidemics and old-age health data, to discover the best biomarkers to predict (i) coping with infection & inflammation and thus hospitalization or intensive care, (ii) long-term health challenges, e.g. deterioration of lung function after intensive care, and (iii) treatment & vaccination response. Further, there are universal triggers of old-age morbidity & mortality, and the elimination of senescent cells improved health in pilot studies in idiopathic lung fibrosis & osteoarthritis patients alike. Biomarker studies are needed to test the hypothesis that resilience of the elderly during a pandemic can be improved by countering chronic inflammation and/or removing senescent cells. Our review suggests that more samples should be taken and saved systematically, following minimum standards, and data be made available, to maximize healthspan & minimize frailty, leading to savings in health care, gains in quality of life, and preparing us better for the next pandemic, all at the same time.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Aging / Biomarkers / Mass Screening / Coronavirus Infections / Pandemics / Inflammation Type of study: Diagnostic study / Prognostic study Topics: Long Covid / Vaccines Limits: Aged / Humans Language: English Journal: Ageing Res Rev Journal subject: Geriatrics Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Aging / Biomarkers / Mass Screening / Coronavirus Infections / Pandemics / Inflammation Type of study: Diagnostic study / Prognostic study Topics: Long Covid / Vaccines Limits: Aged / Humans Language: English Journal: Ageing Res Rev Journal subject: Geriatrics Year: 2020 Document Type: Article