Fundamental Research

We aim to add healthy years of life by delaying ageing, prolonging disease-free life and adding quality by allowing people to be more active and engaged

Our Goals

Initiatives

Mouse Intervention platform:

Theme-based programmatic grant:

Biomarkers:

Sub-themes

HL TRP is a place where biologists, bioinformaticians, and clinicians work together to answer questions about ageing. Fundamental research in this sub-theme utilises cell lines, invertebrates, fish, and rodents as the main species to investigate biological mechanisms underlying ageing and to test the effects of interventions such as small molecules, drugs, or natural products on ageing biomarkers. These models enable us to find out whether the intervention increases healthspan or lifespan, or whether it delays systemic or organ-specific ageing (such as brain or reproductive system), and if so, through which pathways. Moving from cell and animal models, our bioinformaticians utilise quantitative models to predict biological ageing and identify targets of interest for ageing intervention. Last but not least, several ongoing clinical trials are being run to find out the effects of pharmaceutical and lifestyle intervention on ageing biomarkers in human.

Various dietary, pharmaceutical, and genetic interventions have been found to increase the lifespan of laboratory animals. Several of these interventions are now being explored for clinical application.
To understand the physiologic action and therapeutic potential of interventions in ageing, researchers must build quantitative models.

Do interventions delay the onset of ageing? Slow it down? Merely ameliorate some of its symptoms? If interventions slow some ageing mechanisms but accelerate others, can we detect or predict the systemic consequences? Statistical and analytic models provide a crucial framework in which to answer these questions and clarify the systems-level effect of molecular interventions in ageing.

The sub theme aims to survey approaches to modeling lifespan data and places them in the context of recent experimental work.

Our Goals

Mouse Model

To understand the mechanisms and age-related changes in ageing skeletal muscle:

Clinical Studies

To explore biomarkers of frailty and sarcopenia in humans

Interventions

Lifestyle interventions, repurposing drugs and natural products on delaying frailty and sarcopenia:

Initiatives

Mouse Intervention platform:

Interventions:

Our Goals

Initiatives

NUSMed-FoS Joint Program on Health Transformation:

LKCMed / NUSMed / NHG alliance to study Mental Health:

Vision: To form a Mental Health Research Alliance for Singapore

Prospective grant:

Sub-themes

Neural plasticity in adult humans is no longer believed to be impossible. The adult brain shows neuronal regeneration and plasticity in a number of domains. We know that certain disorders or accidents can change the brain in a malicious way. However, in more recent years we have come to learn that formation of new neurons also occurs in adults and that, for example, learning tasks can affect the structure of the brain and reorganize the brain network. The best example of this happens on the microscale with task repetition leading to strengthened neural connections.

Our Goals

Initiatives

Theme-based programmatic grant:

Sub-themes

Ageing is the most robust non-modifiable risk factor for incident stroke, which doubles every 10 years after age 55 years. Approximately three-quarters of all strokes occur in persons aged ≥65 years.

With ageing, both cerebral micro- and macro-circulations undergo structural and functional alterations. Age-related microcirculatory changes are presumably mediated by endothelial dysfunction and impaired cerebral autoregulation and neurovascular coupling. Whereas endothelial dysfunction promotes neuro-inflammation, impaired cerebral autoregulation may lead to microvascular injury, and impaired neurovascular coupling fosters a decline in cortical function, all potential targets for future therapeutic interventions. Ageing, in otherwise healthy individuals, is associated with numerous noticeable changes in human intracranial and extracranial cerebral arteries that predict the risk of future stroke.