Causal analysis identifies small HDL particles and physical activity as key determinants of longevity of older adults [Scholarly Article - The Lancet (eBioMedicine), September 2022]

Title:

Causal analysis identifies small HDL particles and physical activity as key determinants of longevity of older adults

 

Authors:

Virginia Byers Kraus, Sisi Ma, Roshan Tourani ,Gerda G. Fillenbaum, Bruce M. Burchett, Daniel C. Parker, William E. Kraus, Margery A. Connelly, James D. Otvos, Harvey Jay Cohen, Melissa C. Orenduff ,Carl F. Pieper, Xin Zhang & Constantin F. Aliferis

 

Publication:

The Lancet (eBioMedicine), 28 September 2022

https://www.thelancet.com/journals/ebiom/article/PIIS2352-3964(22)00474-1/fulltext

 

Summary 

Background 

The hard endpoint of death is one of the most significant outcomes in both clinical practice and research settings. Our goal was to discover direct causes of longevity from medically accessible data. 

 

Methods 

Using a framework that combines local causal discovery algorithms with discovery of maximally predictive and compact feature sets (the “Markov boundaries” of the response) and equivalence classes, we examined 186 variables and their relationships with survival over 27 years in 1507 participants, aged ≥71 years, of the longitudinal, community-based D-EPESE study. 

 

Findings 

As few as 8-15 variables predicted longevity at 2-, 5- and 10-years with predictive performance (area under receiver operator characteristic curve) of 0·76 (95% CIs 0·69, 0·83), 0·76 (0·72, 0·81) and 0·66 (0·61, 0·71), respectively. Numbers of small high-density lipoprotein particles, younger age, and fewer pack years of cigarette smoking were the strongest determinants of longevity at 2-, 5- and 10-years, respectively. Physical function was a prominent predictor of longevity at all time horizons. Age and cognitive function contributed to predictions at 5 and 10 years. Age was not among the local 2-year prediction variables (although significant in univariable analysis), thus establishing that age is not a direct cause of 2-year longevity in the context of measured factors in our data that determine longevity. 

 

Interpretation 

The discoveries in this study proceed from causal data science analyses of deep clinical and molecular phenotyping data in a community-based cohort of older adults with known lifespan. 

 

Johns Hopkins University School of Medicine - Nanotechnology prevents premature birth in mouse studies [Medical Xpress, 13 January 2021]

Title:

Nanotechnology prevents premature birth in mouse studies

 

By:

Johns Hopkins University School of Medicine

 

Published:

Medical Xpress, 13 January 2021

https://medicalxpress.com/news/2021-01-nanotechnology-premature-birth-mouse.html

From the article:

In a study in mice and human cells, Johns Hopkins Medicine researchers say that they have developed a tiny, yet effective method for preventing premature birth. The vaginally-delivered treatment contains nanosized (billionth of a meter) particles of drugs that easily penetrate the vaginal wall to reach the uterine muscles and prevent them from contracting. If proven effective in humans, the treatment could be one of the only clinical options available to prevent preterm labor.