Biology subjects

Hasan, M. T.

Publications and source records attributed to Hasan, M. T..

4 recordsLinked to original sources

bioRxiv2024

Study of Plasma Adiponectin Levels in Patients with Metabolic Syndrome and Therapeutic Indication in Bangladesh

BackgroundThe metabolic syndrome (Met-S) is a cluster of some interrelated common clinical disorders, including central obesity, dyslipidemia, hypertension, and glucose intolerance. Central obesity, accompanied by insulin resistance, is a key factor for the development of metabolic syndrome. Adiponectin is an adipose-specific plasma protein, secreted from adipocyte with anti-atherogenic and insulin-sensitizing activities. PurposeThis study aimed to investigate the relationship of plasma adiponectin levels with metabolic syndrome, related disorders and its drug repurposing through in silico approach. Materials and MethodsFor this study, 269 individuals were recruited with written consent. The participants were selected based on their full medical history, clinical examination, and laboratory reports. Anthropometric measurements as well as blood pressure was measured before sample collection. Fasting blood samples were collected for the estimation of lipid profile, blood glucose, and serum adiponectin levels. ResultsOur results show that the adiponectin levels in the subjects with Met-S were significantly lower than those of without Met-S (p <0.0001). Among the metabolic syndrome risk factors, adiponectin levels were associated with hypertriglyceridemia and reduced HDL-cholesterol (p<0.0001). Three drugs (Saquinavir, Candesartan and Glimepiride) were suggested to control the plasma adiponectin level in the subjects with Met-S. ConclusionsSince the plasma adiponectin levels are significantly lower in patients with Met-S, it might be used as diagnostic & prognostic marker for Met-S disorder and adiponectin targeted drugs might be minimize the Met-S of the subjects.

biochemistry↗

bioRxiv2023

Identification of Natural Antiviral Drug Candidates Against Tilapia Lake Virus: Computational Drug Design Approaches

Tilapia Lake Virus (TiLV) is a disease that affects tilapia fish, causing a high rate of sudden death at any stage of their growth. Unfortunately, there are currently no effective antiviral drugs or vaccines to control the progression of this disease. Researchers have discovered that the CRM1 protein plays a critical function in the development and spreading of animal viruses. By inhibiting CRM1, the viruss spread in commercial fish farms can be suppressed. With this in mind, this study intended to identify potential antiviral drugs from two different tropical mangrove plants from tropical regions: Heritiera fomes and Ceriops candolleana. To identify promising compounds that target the CRM1 protein, a computer-aided drug discovery approach is employed containing molecular docking, ADME (absorption, distribution, metabolism and excretion) analysis, toxicity assessment as well as molecular dynamics (MD) simulation. To estimate binding affinities of all phytochemicals, molecular docking is used and the top three candidate compounds with the highest docking scores were selected, which are CID107876 (-8.3), CID12795736 (-8.2), and CID12303662 (-7.9). We also evaluated the ADME and toxicity properties of these compounds. Finally, molecular dynamics simulation was conducted to analyze the stability of the protein-ligand complex structures and confirm the suitability of these compounds. The computational study demonstrated that the phytochemicals found in H. fomes and C. candolleana could potentially serve as important inhibitors of TiLV, offering practical utility. However, further in vivo investigations are necessary to investigate the effectiveness of these compounds as antiviral drugs against the virus TiLV.

pharmacology and toxicology↗

bioRxiv2022

Autism excitation-inhibition imbalance linked to brain hyperconnectivity: An analysis based on 657 autistic subjects

The large heterogeneity in autism spectrum disorder (ASD) is a major drawback for the development of therapies. Here, we apply consensus-subtyping strategies based on functional connectivity patterns to a population of N=657 quality-assured autistic subjects. We found two major subtypes (each divided hierarchically into several minor subtypes): Subtype 1 exhibited hypoconnectivity (less average connectivity than typically developing controls) and subtype 2, hyperconnectivity. The two subtypes did not differ in structural imaging metrics in any of the regions analyzed (64 cortical and 14 subcortical), nor in any of the behavioral scores (including Intelligence Quotient, ADI and ADOS). Finally, we used the Allen Human Brain Atlas of gene transcription to show that subtype 2, corresponding with about 42% of all patients, had significant enrichment (after multiple comparisons correction) to excitation-inhibition (E/I) imbalance, a leading reported mechanism in the developmental pathophysiology of ASD. Altogether, our results support a link between E/I imbalance and brain hyperconnectivity in ASD, an association that does not exist in hypoconnected autistic subjects.

neuroscience↗

bioRxiv2020

Genes involved in cholesterol cascades are linked to brain connectivity in one third of autistic patients

The authors have withdrawn their manuscript because after a peer-review process of four different reviewers, several important points were raised, which made us go over all concerns. One major concern involved a gene-wise statistical control for multiple testing, which, after implementation, changed the main conclusion of the study. Other points included a more restrictive filtering of subjects with large head-motion, the exploration of subtyping at different resolutions, a subtyping stability analysis, and the consideration of spatial autocorrelations in the associations between brain connectivity and transcriptomics data. Therefore, the authors do not wish the current work here to be cited as reference for the project anymore. If you have further questions, please contact the corresponding author.

neuroscience↗