Literature DB >> 31332674

Heterogeneity of healthy aging: comparing long-lived families across five healthy aging phenotypes of blood pressure, memory, pulmonary function, grip strength, and metabolism.

Megan M Marron1, Mary K Wojczynski2, Ryan L Minster3, Robert M Boudreau1, Paola Sebastiani4, Stephanie Cosentino5, Bharat Thyagarajan6, Svetlana V Ukraintseva7, Nicole Schupf5, Kaare Christensen8, Mary Feitosa2, Thomas Perls9, Joseph M Zmuda1,3, Anne B Newman10,11.   

Abstract

Five healthy aging phenotypes were developed in the Long Life Family Study to uncover longevity pathways and determine if healthy aging across multiple systems clustered in a subset of long-lived families. Using blood pressure, memory, pulmonary function, grip strength, and metabolic measures (body mass index, waist circumference and fasting levels of glucose, insulin, triglycerides, lipids, and inflammatory markers), offspring were ranked according to relative health using gender-, age-, and relevant confounder-adjusted z-scores. Based on our prior work, families met a healthy aging phenotype if ≥ 2 and ≥ 50% of their offspring were exceptionally healthy for that respective phenotype. Among 426 families, only two families met criteria for three healthy aging phenotypes and none met criteria for four or more healthy aging phenotypes. Using Spearman correlation, the proportion of offspring within families with exceptionally healthy pulmonary function was correlated with the proportion of offspring within families with exceptional strength (r = 0.19, p = 0.002). The proportion of offspring within families meeting the healthy blood pressure and metabolic phenotypes were also correlated (r = 0.14, p = 0.006), and more families were classified as meeting healthy blood pressure and metabolic phenotypes (Kappa = 0.10, p = 0.02), as well as the healthy pulmonary and blood pressure phenotypes than expected by chance (Kappa = 0.09, p = 0.03). Other phenotypes were weakly correlated (|r| ≤ 0.07) with low pairwise agreement (Kappa ≤ 0.06). Among these families selected for familial longevity, correspondence between healthy aging phenotypes was weak, supporting the heterogeneous nature of longevity and suggesting biological underpinnings of each individual phenotype should be examined separately to determine their shared and unique determinants.

Entities:  

Keywords:  Familial longevity; Healthy aging

Year:  2019        PMID: 31332674      PMCID: PMC6815318          DOI: 10.1007/s11357-019-00086-y

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


  26 in total

1.  Common genetic variants on 6q24 associated with exceptional episodic memory performance in the elderly.

Authors:  Sandra Barral; Stephanie Cosentino; Kaare Christensen; Anne B Newman; Thomas T Perls; Michael A Province; Richard Mayeux
Journal:  JAMA Neurol       Date:  2014-12       Impact factor: 18.302

2.  A novel healthy blood pressure phenotype in the Long Life Family Study.

Authors:  Megan M Marron; Jatinder Singh; Robert M Boudreau; Kaare Christensen; Stephanie Cosentino; Mary F Feitosa; Ryan L Minster; Thomas Perls; Nicole Schupf; Paola Sebastiani; Svetlana Ukraintseva; Mary K Wojczynski; Anne B Newman
Journal:  J Hypertens       Date:  2018-01       Impact factor: 4.844

3.  Trade-offs between cancer and other diseases: do they exist and influence longevity?

Authors:  Svetlana V Ukraintseva; Konstantin G Arbeev; Igor Akushevich; Alexander Kulminski; Liubov Arbeeva; Irina Culminskaya; Lucy Akushevich; Anatoli I Yashin
Journal:  Rejuvenation Res       Date:  2010-08       Impact factor: 4.663

4.  Respiratory muscle strength in the elderly. Correlates and reference values. Cardiovascular Health Study Research Group.

Authors:  P L Enright; R A Kronmal; T A Manolio; M B Schenker; R E Hyatt
Journal:  Am J Respir Crit Care Med       Date:  1994-02       Impact factor: 21.405

5.  Dyspnea in Community-Dwelling Older Persons: A Multifactorial Geriatric Health Condition.

Authors:  Brienne Miner; Mary E Tinetti; Peter H Van Ness; Ling Han; Linda Leo-Summers; Anne B Newman; Patty J Lee; Carlos A Vaz Fragoso
Journal:  J Am Geriatr Soc       Date:  2016-08-22       Impact factor: 5.562

6.  Morbidity profiles of centenarians: survivors, delayers, and escapers.

Authors:  Jessica Evert; Elizabeth Lawler; Hazel Bogan; Thomas Perls
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2003-03       Impact factor: 6.053

7.  Exceptional memory performance in the Long Life Family Study.

Authors:  Sandra Barral; Stephanie Cosentino; Rosann Costa; Stacey L Andersen; Kaare Christensen; John H Eckfeldt; Anne B Newman; Thomas T Perls; Michael A Province; Evan C Hadley; Winifred K Rossi; Richard Mayeux
Journal:  Neurobiol Aging       Date:  2013-06-04       Impact factor: 4.673

8.  Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

Authors:  K G M M Alberti; Robert H Eckel; Scott M Grundy; Paul Z Zimmet; James I Cleeman; Karen A Donato; Jean-Charles Fruchart; W Philip T James; Catherine M Loria; Sidney C Smith
Journal:  Circulation       Date:  2009-10-05       Impact factor: 29.690

Review 9.  The hallmarks of aging.

Authors:  Carlos López-Otín; Maria A Blasco; Linda Partridge; Manuel Serrano; Guido Kroemer
Journal:  Cell       Date:  2013-06-06       Impact factor: 41.582

10.  Families Enriched for Exceptional Longevity also have Increased Health-Span: Findings from the Long Life Family Study.

Authors:  Paola Sebastiani; Fangui X Sun; Stacy L Andersen; Joseph H Lee; Mary K Wojczynski; Jason L Sanders; Anatoli Yashin; Anne B Newman; Thomas T Perls
Journal:  Front Public Health       Date:  2013-09-30
View more
  5 in total

1.  Patterns of multi-domain cognitive aging in participants of the Long Life Family Study.

Authors:  Paola Sebastiani; Stacy L Andersen; Benjamin Sweigart; Mengtian Du; Stephanie Cosentino; Bharat Thyagarajan; Kaare Christensen; Nicole Schupf; Thomas T Perls
Journal:  Geroscience       Date:  2020-06-08       Impact factor: 7.713

Review 2.  Cell-to-cell variation in gene expression and the aging process.

Authors:  Alexander R Mendenhall; George M Martin; Matt Kaeberlein; Rozalyn M Anderson
Journal:  Geroscience       Date:  2021-02-17       Impact factor: 7.581

3.  NIA Long Life Family Study: Objectives, Design, and Heritability of Cross-Sectional and Longitudinal Phenotypes.

Authors:  Mary K Wojczynski; Shiow Jiuan Lin; Paola Sebastiani; Thomas T Perls; Joseph Lee; Alexander Kulminski; Anne Newman; Joe M Zmuda; Kaare Christensen; Michael A Province
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-04-01       Impact factor: 6.053

4.  Hand grip strength is associated with cardiopulmonary function in Chinese adults: Results from a cross-sectional study.

Authors:  Rong Zhu; Wei Li; Lili Xia; Xinghua Yang; Biao Zhang; Feng Liu; Jingang Ma; Zhiping Hu; Yajun Li; Dongxue Li; Jiajia Jiang; Yan He; Guangliang Shan
Journal:  J Exerc Sci Fit       Date:  2019-12-09       Impact factor: 3.103

5.  Sleep deprivation impairs cognitive performance, alters task-associated cerebral blood flow and decreases cortical neurovascular coupling-related hemodynamic responses.

Authors:  Tamas Csipo; Agnes Lipecz; Cameron Owens; Peter Mukli; Jonathan W Perry; Stefano Tarantini; Priya Balasubramanian; Ádám Nyúl-Tóth; Valeriya Yabluchanska; Farzaneh A Sorond; J Mikhail Kellawan; György Purebl; William E Sonntag; Anna Csiszar; Zoltan Ungvari; Andriy Yabluchanskiy
Journal:  Sci Rep       Date:  2021-10-25       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.