2.Intermittent Metabolic Switching and Vascular Cognitive Impairment
Vismitha RAJEEV ; Nishat I. TABASSUM ; David Y. FANN ; Christopher P. CHEN ; Mitchell K.P. LAI ; Thiruma V. ARUMUGAM
Journal of Obesity & Metabolic Syndrome 2024;33(2):92-107
Intermittent fasting (IF), a dietary pattern alternating between eating and fasting periods within a 24-hour cycle, has garnered recognition for its potential to enhance both healthspan and lifespan in animal models and humans. It also shows promise in alleviating age-related diseases, including neurodegeneration. Vascular cognitive impairment (VCI) spans a severity range from mild cognitive deficits to severe cognitive deficits and loss of function in vascular dementia. Chronic cerebral hypoperfusion has emerged as a significant contributor to VCI, instigating vascular pathologies such as microbleeds, blood-brain barrier dysfunction, neuronal loss, and white matter lesions. Preclinical studies in rodents strongly suggest that IF has the potential to attenuate pathological mechanisms, including excitotoxicity, oxidative stress, inflammation, and cell death pathways in VCI models.Hence, this supports evaluating IF in clinical trials for both existing and at-risk VCI patients. This review compiles existing data supporting IF’s potential in treating VCI-related vascular and neuronal pathologies, emphasizing the mechanisms by which IF may mitigate these issues. Hence providing a comprehensive overview of the available data supporting IF’s potential in treating VCI by emphasizing the underlying mechanisms that make IF a promising intervention for VCI.
3.Intermittent Metabolic Switching and Vascular Cognitive Impairment
Vismitha RAJEEV ; Nishat I. TABASSUM ; David Y. FANN ; Christopher P. CHEN ; Mitchell K.P. LAI ; Thiruma V. ARUMUGAM
Journal of Obesity & Metabolic Syndrome 2024;33(2):92-107
Intermittent fasting (IF), a dietary pattern alternating between eating and fasting periods within a 24-hour cycle, has garnered recognition for its potential to enhance both healthspan and lifespan in animal models and humans. It also shows promise in alleviating age-related diseases, including neurodegeneration. Vascular cognitive impairment (VCI) spans a severity range from mild cognitive deficits to severe cognitive deficits and loss of function in vascular dementia. Chronic cerebral hypoperfusion has emerged as a significant contributor to VCI, instigating vascular pathologies such as microbleeds, blood-brain barrier dysfunction, neuronal loss, and white matter lesions. Preclinical studies in rodents strongly suggest that IF has the potential to attenuate pathological mechanisms, including excitotoxicity, oxidative stress, inflammation, and cell death pathways in VCI models.Hence, this supports evaluating IF in clinical trials for both existing and at-risk VCI patients. This review compiles existing data supporting IF’s potential in treating VCI-related vascular and neuronal pathologies, emphasizing the mechanisms by which IF may mitigate these issues. Hence providing a comprehensive overview of the available data supporting IF’s potential in treating VCI by emphasizing the underlying mechanisms that make IF a promising intervention for VCI.
4.Intermittent Metabolic Switching and Vascular Cognitive Impairment
Vismitha RAJEEV ; Nishat I. TABASSUM ; David Y. FANN ; Christopher P. CHEN ; Mitchell K.P. LAI ; Thiruma V. ARUMUGAM
Journal of Obesity & Metabolic Syndrome 2024;33(2):92-107
Intermittent fasting (IF), a dietary pattern alternating between eating and fasting periods within a 24-hour cycle, has garnered recognition for its potential to enhance both healthspan and lifespan in animal models and humans. It also shows promise in alleviating age-related diseases, including neurodegeneration. Vascular cognitive impairment (VCI) spans a severity range from mild cognitive deficits to severe cognitive deficits and loss of function in vascular dementia. Chronic cerebral hypoperfusion has emerged as a significant contributor to VCI, instigating vascular pathologies such as microbleeds, blood-brain barrier dysfunction, neuronal loss, and white matter lesions. Preclinical studies in rodents strongly suggest that IF has the potential to attenuate pathological mechanisms, including excitotoxicity, oxidative stress, inflammation, and cell death pathways in VCI models.Hence, this supports evaluating IF in clinical trials for both existing and at-risk VCI patients. This review compiles existing data supporting IF’s potential in treating VCI-related vascular and neuronal pathologies, emphasizing the mechanisms by which IF may mitigate these issues. Hence providing a comprehensive overview of the available data supporting IF’s potential in treating VCI by emphasizing the underlying mechanisms that make IF a promising intervention for VCI.
5.Through the eyes into the brain, using artificial intelligence.
Kanchalika SATHIANVICHITR ; Oriana LAMOUREUX ; Sakura NAKADA ; Zhiqun TANG ; Leopold SCHMETTERER ; Christopher CHEN ; Carol Y CHEUNG ; Raymond P NAJJAR ; Dan MILEA
Annals of the Academy of Medicine, Singapore 2023;52(2):88-95
INTRODUCTION:
Detection of neurological conditions is of high importance in the current context of increasingly ageing populations. Imaging of the retina and the optic nerve head represents a unique opportunity to detect brain diseases, but requires specific human expertise. We review the current outcomes of artificial intelligence (AI) methods applied to retinal imaging for the detection of neurological and neuro-ophthalmic conditions.
METHOD:
Current and emerging concepts related to the detection of neurological conditions, using AI-based investigations of the retina in patients with brain disease were examined and summarised.
RESULTS:
Papilloedema due to intracranial hypertension can be accurately identified with deep learning on standard retinal imaging at a human expert level. Emerging studies suggest that patients with Alzheimer's disease can be discriminated from cognitively normal individuals, using AI applied to retinal images.
CONCLUSION
Recent AI-based systems dedicated to scalable retinal imaging have opened new perspectives for the detection of brain conditions directly or indirectly affecting retinal structures. However, further validation and implementation studies are required to better understand their potential value in clinical practice.
Humans
;
Artificial Intelligence
;
Brain/diagnostic imaging*
;
Retina
;
Optic Disk
;
Aging
6.Medication compliance in Singaporean patients with Alzheimer's disease.
Zheng Kang LUM ; Ma Serrie P SUMINISTRADO ; N VENKETASUBRAMANIAN ; M Kamran IKRAM ; Christopher CHEN
Singapore medical journal 2019;60(3):154-160
INTRODUCTION:
Singapore has a rapidly ageing population and an increasing prevalence of Alzheimer's disease (AD). Compliance to AD medications is associated with treatment effectiveness. We investigated compliance to acetylcholinesterase inhibitors (AChEIs) and N-methyl-D-aspartate (NMDA) receptor antagonist and treatment persistence among patients seen at the General Memory Clinic of National University Hospital, Singapore. We also identified the reasons for non-compliance.
METHODS:
Patients seen at the General Memory Clinic between 1 January 2013 and 31 December 2014, who were prescribed AChEIs and NMDA receptor antagonist, were included in this retrospective cohort study. Non-compliance to medications was indirectly measured by failure to renew prescription within 60 days of the last day of medication supplied by the previous prescription. The reasons for non-compliance were identified.
RESULTS:
A total of 144 patients were included. At one year, 107 patients were compliant to AD medications, while 37 patients were non-compliant. Around 60% of the non-compliant patients discontinued the use of AD medications within the first six months, and the mean persistent treatment period among this group of patients was 10.3 ± 3.5 months. The main reason for non-compliance was patients' and caregivers' perception that memory loss was of lower priority than other coexisting illnesses. Other reasons for non-compliance included side effects of medications (18.9%), perceived ineffectiveness of treatment (16.2%), inability to attend clinic (5.4%) and high cost of medications (2.7%).
CONCLUSION
Our findings suggest that the reasons for medication non-compliance can be identified early. Better compliance may be achieved through a multidisciplinary approach to patient education.
Aged
;
Aged, 80 and over
;
Alzheimer Disease
;
drug therapy
;
epidemiology
;
psychology
;
Caregivers
;
Cholinesterase Inhibitors
;
therapeutic use
;
Drug Costs
;
Female
;
Humans
;
Interdisciplinary Communication
;
Male
;
Medication Adherence
;
Middle Aged
;
Patient Compliance
;
Quality of Life
;
Receptors, N-Methyl-D-Aspartate
;
antagonists & inhibitors
;
Retrospective Studies
;
Singapore
;
epidemiology
;
Treatment Outcome