MATERIALS AND METHODS: A literature search was carried out to gather eligible studies from the following widely sourced electronic databases such as Scopus, PubMed and Google Scholar using the combination of the following keywords: AD, MRS, brain metabolites, deep learning (DL), machine learning (ML) and artificial intelligence (AI); having the aim of taking the readers through the advancements in the usage of MRS analysis and related AI applications for the detection of AD.
RESULTS: We elaborate on the MRS data acquisition, processing, analysis, and interpretation techniques. Recommendation is made for MRS parameters that can obtain the best quality spectrum for fingerprinting the brain metabolomics composition in AD. Furthermore, we summarise ML and DL techniques that have been utilised to estimate the uncertainty in the machine-predicted metabolite content, as well as streamline the process of displaying results of metabolites derangement that occurs as part of ageing.
CONCLUSION: MRS has a role as a non-invasive tool for the detection of brain metabolite biomarkers that indicate brain metabolic health, which can be integral in the management of AD.
METHODS: We systematically searched Pubmed for population-based studies of chronic kidney disease (CKD) and ESKD epidemiology and management. Population-level data from 23 pre-designated nations were eligible for inclusion if they pertained to people receiving dialysis or kidney transplant for ESKD. When available, government websites were utilized to identify and extract data from relevant kidney registries . Measures gathered included those related to the prevalence and mortality of ESKD; the availability of nephrologists; per capita healthcare expenditures; and use of erythropoietin stimulating agents (ESAs).
RESULTS: We obtained data from the United States (US), 7 nations in Eastern Europe, 4 each in Western Europe, Latin America, and Africa, and 3 in Asia. Documented prevalence of ESKD per million population varied from a high of 3,600 (Malaysia) to a low of 67 (Senegal). Annual mortality associated with ESKD varied from 31% (Ethiopia and Senegal) to 10% (UK). Nephrologist availability per million population varied from 40 (Japan) to <1 (South Africa) and was associated with per capita healthcare expenditures.
CONCLUSIONS: The delivery of kidney care related to ESKD varies widely among countries. Higher per capita healthcare spending is associated with increased delivery of kidney care. However, in part because documentation of kidney disease varies widely, it is difficult to determine how outcomes related to ESKD may vary across nations.
METHODS: A WEHI-3 cell line was used to evaluate the cytotoxicity of BM by MTT. AO/PI and Hoechst 33342 dyes, Annexin V, multiparametric cytotoxicity 3 by high content screening (HCS); cell cycle tests were used to estimate the features of apoptosis and BM effects. Caspase 3 and 9 activities, ROS, western blot for Bcl2, and Bax were detected to study the mechanism of apoptosis. BALB/c mice injected with WEHI-3 cells were used to assess the apoptotic effect of BM in vivo.
RESULTS: BM suppressed the growth of WEHI-3 cells at an IC50value of 14 ± 3 μg/mL in 24 h. The ROS production was increased inside the cells in the treated doses. Both caspases (9 and 3) were activated in treating WEHI-3 cells at 24, 48 and 72 h. Different signs of apoptosis were detected, such as cell membrane blebbing, DNA segmentation and changes in the asymmetry of the cell membrane. Another action by which BM could inhibit WEHI-3 cells is to restrain the cell cycle at the G1/G0 phase. In the in vivo study, BM reduced the destructive effects of leukaemia on the spleen and liver by inducing apoptosis in leukaemic cells.
CONCLUSION: BM exerts anti-leukaemic properties in vitro and in vivo.