Midlife Cardiovascular Risk Factors, Subclinical Atherosclerosis, and Cerebral Hypometabolism

Nanomedicine for Diagnosis and Treatment of Atherosclerosis

With the changing disease spectrum, atherosclerosis has become increasingly prevalent worldwide and the associated diseases have emerged as the leading cause of death. Due to their fascinating physical, chemical, and biological characteristics, nanomaterials are regarded as a promising tool to tackle enormous challenges in medicine. The emerging discipline of nanomedicine has filled a huge application gap in the atherosclerotic field, ushering a new generation of diagnosis and treatment strategies. Herein, based on the essential pathogenic contributors of atherogenesis, as well as the distinct composition/structural characteristics, synthesis strategies, and surface design of nanoplatforms, the three major application branches (nanodiagnosis, nanotherapy, and nanotheranostic) of nanomedicine in atherosclerosis are elaborated. Then, state-of-art studies containing a sequence of representative and significant achievements are summarized in detail with an emphasis on the intrinsic interaction/relationship between nanomedicines and atherosclerosis. Particularly, attention is paid to the biosafety of nanomedicines, which aims to pave the way for future clinical translation of this burgeoning field. Finally, this comprehensive review is concluded by proposing unresolved key scientific issues and sharing the vision and expectation for the future, fully elucidating the closed loop from atherogenesis to the application paradigm of nanomedicines for advancing the early achievement of clinical applications.

Association of chronic liver disease with cognition and brain volumes in two randomized controlled trial populations

BACKGROUND AND PURPOSE

We examined the association of chronic liver disease with cognition and brain imaging markers of cognitive impairment using data from two large randomized controlled trials that included participants based on diabetes and hypertension, two common systemic risk factors for cognitive impairment and dementia.

METHODS

We performed post hoc analyses using data from the Action to Control Cardiovascular Risk in Diabetes (ACCORD) and Systolic Blood Pressure Intervention Trial (SPRINT) studies, which included participants with diabetes and hypertension, respectively. Data were from the NHLBI Biologic Specimen and Data Repository Information Coordinating Center. In ACCORD, our measure of chronic liver disease was the Dallas Steatosis Index (DSI). In SPRINT, we used self-reported chronic liver disease. We used linear regression to evaluate the association between the measure of chronic liver disease and both baseline and longitudinal cognitive test performance and brain magnetic resonance imaging volume measurements.

RESULTS

Among 2969 diabetic participants in ACCORD, the mean age of participants was 62 years, 47% were women. The median DSI was 1.0 (IQR, 0.2-1.8); a DSI of 1.0 corresponds to approximately a > 70% probability of having NAFLD. Among 2890 hypertensive participants in SPRINT, the mean age was 68 years, and 37% were women, and 60 (2.1%) had chronic liver disease. There were no consistent associations between liver disease and cognitive performance or brain volumes at baseline or longitudinally after adjustment.

CONCLUSION

Markers of chronic liver disease were not associated with cognitive impairment or related brain imaging markers among individuals with diabetes and hypertension.

Mild parkinsonian signs: the interface between aging and Parkinson’s disease

Mild Parkinsonian Signs (MPS) describe a spectrum that exists between the expected motor decline of normal aging and a more serious motor deterioration resulting from Parkinson’s disease (PD) and neurodegeneration. Although MPS are a feature of the prodromal stage of PD, their formal definition is unclear and still relies somewhat on conventional clinical criteria for PD. This review will summarise the early motor features of PD and methods of assessment, from conventional clinical scales to advances in quantitative measures. Finally, the boundaries of motor decline as part of normal aging and pathological neurodegeneration will be discussed.