Andrew D. Rutenberg
YOU?
Author Swipe
View article: Inferring and predicting Fried physical frailty phenotype deficits
Inferring and predicting Fried physical frailty phenotype deficits Open
We predict the Fried physical frailty phenotype health deficits (FPFP5: slow gait, weakness, weight loss, low activity, and exhaustion) using two measures of frailty: frailty index (FI) or frailty phenotype (FP). The FP theorizes that the …
View article: Aging health dynamics cross a tipping point near age 75
Aging health dynamics cross a tipping point near age 75 Open
Aging includes both continuous gradual decline from microscopic mechanisms together with major deficit onset events such as morbidity, disability and ultimately death. These deficit events are stochastic, obscuring the connection between a…
View article: Multivariate genomic analyses of frailty reveal the unique importance of cognitive and multimorbidity pathways for aging‐related health outcomes
Multivariate genomic analyses of frailty reveal the unique importance of cognitive and multimorbidity pathways for aging‐related health outcomes Open
Background Frailty is a complex clinical state that is associated with poorer health outcomes and increased dementia risk in older adults. It is routinely measured using the Frailty Index, which is a proportional score based on the number …
View article: Anisotropic swelling due to hydration constrains anisotropic elasticity in biomaterial fibers
Anisotropic swelling due to hydration constrains anisotropic elasticity in biomaterial fibers Open
Naturally occurring protein fibers often undergo anisotropic swelling when hydrated. Within a tendon, a hydrated collagen fibril's radius expands by 40% but its length only increases by 5%. The same effect, with a similar relative magnitud…
View article: Uncovering the multivariate genetic architecture of frailty with genomic structural equation modelling
Uncovering the multivariate genetic architecture of frailty with genomic structural equation modelling Open
Frailty is a multifaceted clinical state associated with accelerated aging and adverse health outcomes. Informed etiological models of frailty hold promise for producing widespread health improvements across the aging population. Frailty i…
View article: Systems-level health of patients living with end-stage kidney disease using standard lab values
Systems-level health of patients living with end-stage kidney disease using standard lab values Open
We present a systems-level analysis of end-stage kidney disease (ESKD) with a dynamical network analysis of 14 commonly measured blood-based biomarkers in patients undergoing regular haemodialysis. Utilizing a validated pipeline for declin…
View article: Dynamical Network Stability Analysis of Multiple Biological Ages Provides a Framework for Understanding the Aging Process
Dynamical Network Stability Analysis of Multiple Biological Ages Provides a Framework for Understanding the Aging Process Open
Widespread interest in nondestructive biomarkers of aging has led to a multitude of biological ages that each proffers a “true” health-adjusted individual age. Although each measure provides salient information on the aging process, they a…
View article: Anisotropic swelling due to hydration constrains anisotropic elasticity in biomaterial fibers
Anisotropic swelling due to hydration constrains anisotropic elasticity in biomaterial fibers Open
Naturally occurring protein fibers often undergo anisotropic swelling when hydrated. Within a tendon, a hydrated collagen fibril's radius expands by 40% but its length only increases by 5%. The same effect, with a similar relative magnitud…
View article: Network dynamical stability analysis reveals key “mallostatic” natural variables that erode homeostasis and drive age-related decline of health
Network dynamical stability analysis reveals key “mallostatic” natural variables that erode homeostasis and drive age-related decline of health Open
Using longitudinal study data, we dynamically model how aging affects homeostasis in both mice and humans. We operationalize homeostasis as a multivariate mean-reverting stochastic process. We hypothesize that biomarkers have stable equili…
View article: Using deep-learning to obtain calibrated individual disease and ADL damage transition probabilities between successive ELSA waves
Using deep-learning to obtain calibrated individual disease and ADL damage transition probabilities between successive ELSA waves Open
We predictively model damage transition probabilities for binary health outputs of 19 diseases and 25 activities of daily living states (ADLs) between successive waves of the English Longitudinal Study of Aging (ELSA). Model selection betw…
View article: Modelling lifespan reduction in an exogenous damage model of generic disease
Modelling lifespan reduction in an exogenous damage model of generic disease Open
We model the effects of disease and other exogenous damage during human aging. Even when the exogenous damage is repaired at the end of acute disease, propagated secondary damage remains. We consider both short-term mortality effects due t…
View article: Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process
Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process Open
Widespread interest in non-destructive biomarkers of aging has led to a curse of plenty: a multitude of biological ages that each proffers a 'true' health-adjusted age of an individual. While each measure provides salient information on th…
View article: Network dynamical stability analysis reveals key "mallostatic" natural variables that erode homeostasis and drive age-related decline of health
Network dynamical stability analysis reveals key "mallostatic" natural variables that erode homeostasis and drive age-related decline of health Open
Using longitudinal study data, we dynamically model how aging affects homeostasis in both mice and humans. We operationalize homeostasis as a multivariate mean-reverting stochastic process. We hypothesize that biomarkers have stable equili…
View article: Modelling disease impact: lifespan reduction is greatest for young adults in an exogenous damage model of disease
Modelling disease impact: lifespan reduction is greatest for young adults in an exogenous damage model of disease Open
We model the effects of disease and other exogenous damage during human aging. Even when the exogenous damage is repaired at the end of acute disease, propagated secondary damage remains. We consider both short-term mortality effects due t…
View article: Torsion and Bistability of Double-Twist Elastomers
Torsion and Bistability of Double-Twist Elastomers Open
We investigate the elastic properties of anisotropic elastomers with a double-twist director field, which is a model for collagen fibrils or blue phases. We observe a significant Poynting-like effect, coupling torsion (fibril twist) and ex…
View article: Measurements of damage and repair of binary health attributes in aging mice and humans reveal that robustness and resilience decrease with age, operate over broad timescales, and are affected differently by interventions
Measurements of damage and repair of binary health attributes in aging mice and humans reveal that robustness and resilience decrease with age, operate over broad timescales, and are affected differently by interventions Open
As an organism ages, its health-state is determined by a balance between the processes of damage and repair. Measuring these processes requires longitudinal data. We extract damage and repair transition rates from repeated observations of …
View article: A complex systems approach to aging biology
A complex systems approach to aging biology Open
Having made substantial progress understanding molecules, cells, genes and pathways, aging biology research is now moving toward integration of these parts, attempting to understand how their joint dynamics may contribute to aging. Such a …
View article: “Measurements of damage and repair in aging mice and humans reveals that robustness and resilience decrease with age, operate over broad timescales, and are affected differently by interventions”
“Measurements of damage and repair in aging mice and humans reveals that robustness and resilience decrease with age, operate over broad timescales, and are affected differently by interventions” Open
As an organism ages, its health-state is determined by a balance between the processes of damage and repair. Measuring these processes requires longitudinal data. We extract damage and repair rates from repeated observations of health defi…
View article: Interpretable machine learning for high-dimensional trajectories of aging health
Interpretable machine learning for high-dimensional trajectories of aging health Open
We have built a computational model for individual aging trajectories of health and survival, which contains physical, functional, and biological variables, and is conditioned on demographic, lifestyle, and medical background information. …
View article: Interpretable Machine Learning of High-Dimensional Aging Health Trajectories
Interpretable Machine Learning of High-Dimensional Aging Health Trajectories Open
We have built a computational model of individual aging trajectories of health and survival, that contains physical, functional, and biological variables, and is conditioned on demographic, lifestyle, and medical background information. We…
View article: Non-Fickian single-file pore transport
Non-Fickian single-file pore transport Open
Single-file diffusion exhibits anomalously slow collective transport when particles are able to immobilize by binding and unbinding to the one-dimensional channel within which the particles diffuse. We have explored this system for short p…
View article: DJIN model of aging synthetic dataset
DJIN model of aging synthetic dataset Open
The DJIN model of aging was trained on the English Longitudinal Study of Aging (ELSA). Here we have used the model to generate a large synthetic population of 9 million individuals. There are 3 million individuals for each baseline age of …
View article: DJIN model of aging synthetic dataset
DJIN model of aging synthetic dataset Open
The DJIN model of aging was trained on the English Longitudinal Study of Aging (ELSA). Here we have used the model to generate a large synthetic population of 9 million individuals. There are 3 million individuals for each baseline age of …
View article: D-band strain underestimates collagen fibril strain
D-band strain underestimates collagen fibril strain Open
Collagen fibrils are the main structural component of load-bearing tissues such as tendons, ligaments, skin, the cornea of the eye, and the heart. The D-band of collagen fibrils is a periodic axial density modulation that can be easily cha…