Literature DB >> 30151729

A framework for selection of blood-based biomarkers for geroscience-guided clinical trials: report from the TAME Biomarkers Workgroup.

Jamie N Justice1, Luigi Ferrucci2, Anne B Newman3, Vanita R Aroda4, Judy L Bahnson5, Jasmin Divers5, Mark A Espeland5, Santica Marcovina6, Michael N Pollak7, Stephen B Kritchevsky8, Nir Barzilai9, George A Kuchel10.   

Abstract

Recent advances indicate that biological aging is a potentially modifiable driver of late-life function and chronic disease and have led to the development of geroscience-guided therapeutic trials such as TAME (Targeting Aging with MEtformin). TAME is a proposed randomized clinical trial using metformin to affect molecular aging pathways to slow the incidence of age-related multi-morbidity and functional decline. In trials focusing on clinical end-points (e.g., disease diagnosis or death), biomarkers help show that the intervention is affecting the underlying aging biology before sufficient clinical events have accumulated to test the study hypothesis. Since there is no standard set of biomarkers of aging for clinical trials, an expert panel was convened and comprehensive literature reviews conducted to identify 258 initial candidate biomarkers of aging and age-related disease. Next selection criteria were derived and applied to refine this set emphasizing: (1) measurement reliability and feasibility; (2) relevance to aging; (3) robust and consistent ability to predict all-cause mortality, clinical and functional outcomes; and (4) responsiveness to intervention. Application of these selection criteria to the current literature resulted in a short list of blood-based biomarkers proposed for TAME: IL-6, TNFα-receptor I or II, CRP, GDF15, insulin, IGF1, cystatin C, NT-proBNP, and hemoglobin A1c. The present report provides a conceptual framework for the selection of blood-based biomarkers for use in geroscience-guided clinical trials. This work also revealed the scarcity of well-vetted biomarkers for human studies that reflect underlying biologic aging hallmarks, and the need to leverage proposed trials for future biomarker discovery and validation.

Entities:  

Keywords:  Aging; Biomarkers; Epidemiology; Inflammation; Metformin; Mortality; Randomized controlled trial

Mesh:

Substances:

Year:  2018        PMID: 30151729      PMCID: PMC6294728          DOI: 10.1007/s11357-018-0042-y

Source DB:  PubMed          Journal:  Geroscience        ISSN: 2509-2723            Impact factor:   7.713


  74 in total

1.  Impact of an 8-Year Intensive Lifestyle Intervention on an Index of Multimorbidity.

Authors:  Mark A Espeland; Sarah A Gaussoin; Judy Bahnson; Elizabeth M Vaughan; William C Knowler; Felicia R Simpson; Helen P Hazuda; Karen C Johnson; Medha N Munshi; Mace Coday; Xavier Pi-Sunyer
Journal:  J Am Geriatr Soc       Date:  2020-07-17       Impact factor: 5.562

Review 2.  Taming expectations of metformin as a treatment to extend healthspan.

Authors:  Adam R Konopka; Benjamin F Miller
Journal:  Geroscience       Date:  2019-02-12       Impact factor: 7.713

Review 3.  Antiaging Therapies, Cognitive Impairment, and Dementia.

Authors:  Devin Wahl; Rozalyn M Anderson; David G Le Couteur
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-09-16       Impact factor: 6.053

4.  Senolytics: targeting senescent cells for age-associated diseases.

Authors:  Iman M A Al-Naggar; George A Kuchel; Ming Xu
Journal:  Curr Mol Biol Rep       Date:  2020-10-24

Review 5.  Epigenetic Aging: More Than Just a Clock When It Comes to Cancer.

Authors:  Ming Yu; William M Grady; William D Hazelton; Georg E Luebeck
Journal:  Cancer Res       Date:  2019-11-06       Impact factor: 12.701

6.  Testing the Geroscience Hypothesis: Early Days.

Authors:  Stephen B Kritchevsky; Jamie N Justice
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2020-01-01       Impact factor: 6.053

7.  Malnutrition, assessed by the Global Leadership Initiative on Malnutrition (GLIM) criteria but not by the mini nutritional assessment (MNA), predicts the incidence of sarcopenia over a 5-year in the SarcoPhAge cohort.

Authors:  Laetitia Lengelé; Olivier Bruyère; Charlotte Beaudart; Jean-Yves Reginster; Médéa Locquet
Journal:  Aging Clin Exp Res       Date:  2021-05-15       Impact factor: 3.636

8.  A novel multi-marker discovery approach identifies new serum biomarkers for Parkinson's disease in older people: an EXosomes in PArkiNson Disease (EXPAND) ancillary study.

Authors:  Riccardo Calvani; Anna Picca; Giovanni Landi; Federico Marini; Alessandra Biancolillo; Hélio José Coelho-Junior; Jacopo Gervasoni; Silvia Persichilli; Aniello Primiano; Annalaura Arcidiacono; Andrea Urbani; Maurizio Bossola; Anna Rita Bentivoglio; Matteo Cesari; Roberto Bernabei; Maria Rita Lo Monaco; Emanuele Marzetti
Journal:  Geroscience       Date:  2020-05-26       Impact factor: 7.713

9.  Lack of consensus on an aging biology paradigm? A global survey reveals an agreement to disagree, and the need for an interdisciplinary framework.

Authors:  Alan A Cohen; Brian K Kennedy; Ulrich Anglas; Anne M Bronikowski; Joris Deelen; Frédérik Dufour; Gerardo Ferbeyre; Luigi Ferrucci; Claudio Franceschi; Daniela Frasca; Bertrand Friguet; Pierrette Gaudreau; Vadim N Gladyshev; Efstathios S Gonos; Vera Gorbunova; Philipp Gut; Mikhail Ivanchenko; Véronique Legault; Jean-François Lemaître; Thomas Liontis; Guang-Hui Liu; Mingxin Liu; Andrea B Maier; Otávio T Nóbrega; Marcel G M Olde Rikkert; Graham Pawelec; Sylvie Rheault; Alistair M Senior; Andreas Simm; Sonja Soo; Annika Traa; Svetlana Ukraintseva; Quentin Vanhaelen; Jeremy M Van Raamsdonk; Jacek M Witkowski; Anatoliy I Yashin; Robert Ziman; Tamàs Fülöp
Journal:  Mech Ageing Dev       Date:  2020-07-18       Impact factor: 5.432

10.  Identification of biomarkers for physical frailty and sarcopenia through a new multi-marker approach: results from the BIOSPHERE study.

Authors:  Riccardo Calvani; Anna Picca; Federico Marini; Alessandra Biancolillo; Jacopo Gervasoni; Silvia Persichilli; Aniello Primiano; Hélio J Coelho-Junior; Matteo Cesari; Maurizio Bossola; Andrea Urbani; Graziano Onder; Francesco Landi; Roberto Bernabei; Emanuele Marzetti
Journal:  Geroscience       Date:  2020-06-01       Impact factor: 7.713

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