👤 Beitullah Alipour

Brain-derived neurotrophic factor (BDNF) is a neurotrophin important for neuronal survival and synaptic plasticity that also plays a role in metabolic regulation (energy homeostasis and appetite control). Lower circulating BDNF levels have been associated with obesity, metabolic risk factors, and poorer cognitive and mental health outcomes, whereas higher levels are linked to more favorable profiles. In this study we sought to systematically evaluate the effects of dietary weight-loss interventions on circulating BDNF levels in adults with overweight or obesity. A comprehensive literature search of PubMed, Web of Science, Scopus, and Google Scholar was conducted from inception through April 2025 to identify clinical trials investigating dietary weight-loss or calorie-restriction interventions in adults with overweight or obesity that reported data regarding circulating BDNF outcomes. Eligible studies were clinical trials with interventions lasting ≥4 weeks to investigate circulating BDNF concentrations before and after dietary interventions that were conducted in adults (≥18 years old) with baseline overweight or obesity. This systematic review was conducted in accordance with Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 guidelines. Risk of bias was assessed using the Cochrane risk-of-bias tool. Data on study design, participant characteristics, dietary interventions, and BDNF outcomes were extracted and synthesized qualitatively. A summary table of the included studies was generated. Fifteen clinical studies (n = 862 total participants) met inclusion criteria (11 randomized trials and 4 single-arm trials). Diet modalities included continuous calorie restriction (typically 20%-30% caloric deficit), intermittent fasting (eg, alternate-day fasting, time-restricted eating), ketogenic diets (KDs), Mediterranean-type diets, and other weight-loss diets. Duration of interventions ranged from 6 to 26 weeks. Responses to BDNF varied by intervention. In adults with overweight/obesity, weight-loss dietary interventions demonstrated heterogeneous effects on circulating BDNF. We categorized the included studies into 3 groups based on the effects of dietary weight loss on BDNF: increases, no significant change, or decreases. Approximately half of the studies showed no significant effect, while a few interventions showed a decrease. Intermittent fasting regimens and certain dietary patterns (eg, the Mediterranean-DASH [Dietary Approaches to Stop Hypertension] [MIND] diet, and the KD) tend to elevate BDNF levels, whereas continuous calorie restriction often shows no change, and very rapid weight loss may paradoxically reduce BDNF in some cases. These findings suggest that diet-induced weight loss can influence neurotrophic status, potentially modulating brain health. However, results are inconsistent across studies. Overall, interventions involving intermittent calorie restriction, MIND, and/or KD, more frequently reported BDNF increases, whereas continuous calorie restriction produced mixed results. Show less

Several studies indicated the ameliorating effects of raloxifene supplementation on apolipoproteins and blood pressure, although others have conflicting findings. Therefore, the present study was conducted in order to accurately and definitively understands the effect of raloxifene on apolipoprotein AI (Apo-AI), apolipoprotein B (APoB), lipoprotein (a) (Lp (a)), systolic blood pressure (SBP) and diastolic blood pressure (DBP) in postmenopausal women. A systematic literature search was conducted using scientific databases including PubMed, Scopus, Embase, and Web of Science and the Cochrane Library, through May 2024. The quality of studies was assessed using Cochrane tool. Random-effects meta-analysis was used to pool standardized mean differences (SMD) and 95 % CI for the outcomes. Twenty trials, with interventions ranging from 6 to 144 weeks and 2825 participants, were included. Raloxifene supplementation demonstrated significant reductions in ApoB (SMD: -0.92; 95 % CI: -1.49 to -0.35; P = 0.001), and Lp (a) (SMD: -0.25; 95 % CI: -0.39 to -0.11; P < 0.001) while increasing Apo-AI levels (SMD: 0.29; 95 % CI: 0.22-0.36; P < 0.001). Conversely, no significant effects were observed on SBP (WMD: -0.49 mmHg; 95 % CI: -3.01-2.04; P = 0.706), and DBP (WMD: -0.81 mmHg; 95 % CI: -4.04-2.41; P = 0.621). Moreover, subgroup analysis indicated that raloxifene significantly decreased DBP in studies with intervention durations of >12 weeks. This meta-analysis has shown that raloxifene supplementation may have beneficial effects on apolipoproteins in postmenopausal women. Future studies are needed to investigate the effect of raloxifene on health status in in postmenopausal women. Show less

Metabolic syndrome (MetS) is a complex multifactorial disorder that considerably burdens healthcare systems. We aim to classify MetS using regularized machine learning models in the presence of the risk variants of A cohort study was conducted on 2,346 cases and 2,203 controls from eligible Tehran Cardiometabolic Genetic Study (TCGS) participants whose data were collected from 1999 to 2017. We used different regularization approaches [least absolute shrinkage and selection operator (LASSO), ridge regression (RR), elasticnet (ENET), adaptive LASSO (aLASSO), and adaptive ENET (aENET)] and a classical logistic regression (LR) model to classify MetS and select influential variables that predict MetS. Demographics, clinical features, and common polymorphisms in the During the follow-up period, 50.38% of participants developed MetS. The groups were not similar in terms of baseline characteristics and risk variants. MetS was significantly associated with age, gender, schooling years, body mass index (BMI), and alternate alleles in all the risk variants, as indicated by LR. A comparison of accuracy, AUCROC, and AUC-PR metrics indicated that the regularization models outperformed LR. Regularized machine learning models provided comparable classification performances, whereas the aLASSO model was more parsimonious and selected fewer predictors. Regularized machine learning models provided more accurate and parsimonious MetS classifying models. These high-performing diagnostic models can lay the foundation for clinical decision support tools that use genetic and demographical variables to locate individuals at high risk for MetS. Show less

Genome-wide studies related to neurological disorders and neurodegenerative diseases have pointed to the role of epigenetic changes such as DNA methylation, histone modification, and noncoding RNAs. DNA methylation machinery controls the dynamic regulation of methylation patterns in discrete brain regions. This review aims to describe the role of DNA methylation in inhibiting and progressing neurological and neurodegenerative disorders and therapeutic approaches A Systematic search of PubMed, Web of Science, and Cochrane Library was conducted for all qualified studies from 2000 to 2022. For the current need of time, we have focused on the DNA methylation role in neurological and neurodegenerative diseases and the expression of genes involved in neurodegeneration such as Alzheimer's, Depression, and Rett Syndrome. Finally, it appears that the various epigenetic changes do not occur separately and that DNA methylation and histone modification changes occur side by side and affect each other. We focused on the role of modification of DNA methylation in several genes associated with depression (NR3C1, NR3C2, CRHR1, SLC6A4, BDNF, and FKBP5), Rett syndrome (MECP2), Alzheimer's, depression (APP, BACE1, BIN1 or ANK1) and Parkinson's disease (SNCA), as well as the co-occurring modifications to histones and expression of non-coding RNAs. Understanding these epigenetic changes and their interactions will lead to better treatment strategies. This review captures the state of understanding of the epigenetics of neurological and neurodegenerative diseases. With new epigenetic mechanisms and targets undoubtedly on the horizon, pharmacological modulation and regulation of epigenetic processes in the brain holds great promise for therapy. Show less