MyMedR

Displaying all 5 publications

Abstract:

Sort:

Fulltext Nanotechnology-based therapeutic applications: in vitro and in vivo clinical studies for diabetic wound healing

Haque ST, Saha SK, Haque ME, Biswas N

Biomater Sci, 2021 Nov 23;9(23):7705-7747.
PMID: 34709244 DOI: 10.1039/d1bm01211h

Diabetic wounds often indicate chronic complications that are difficult to treat. Unfortunately, existing conventional treatment modalities often cause unpremeditated side effects, given the need to develop alternative therapeutic phenotypes that are safe or have minimal side effects and risks. Nanotechnology-based platforms, including nanotherapeutics, nanoparticles (NPs), nanofibers, nanohydrogels, and nanoscaffolds, have garnered attention for their groundbreaking potential to decipher the biological environment and offer personalized treatment methods for wound healing. These nanotechnology-based platforms can successfully overcome the impediments posed by drug toxicity, existing treatment modalities, and the physiology and complexity of the wound sites. Furthermore, studies have shown that they play an essential role in influencing angiogenesis, collagen production, and extracellular matrix (ECM) synthesis, which are integral in skin repair mechanisms. In this review, we emphasized the importance of various nanotechnology-based platforms for healing diabetic wounds and report on the innovative preclinical and clinical outcomes of different nanotechnology-based platforms. This review also outlined the limitations of existing conventional treatment modalities and summarized the physiology of acute and chronic diabetic wounds.
A Case Study on Chronic Hepatitis-C Viral infection Associated with Hepatocellular Carcinoma in a Tertiary Hospital of Bangladesh

Islam MJ, Saha SK, Das AK, Jahan MS, Pervin S, Karim CF, et al.

Mymensingh Med J, 2019 Oct;28(4):935-939.
PMID: 31599264

Hepatocellular carcinoma (HCC) is an important reason of liver-related death globally. HCC is the fifth most common cancer, the third most common cause for cancer related death in the world and responsible for approximately one million deaths each year. The incidence of HCC is expected to increase in the next two decades, largely due to hepatitis C infection and secondary cirrhosis. We have reported a case of hepatocellular carcinoma in a 56-year-old man with peritoneal metastasis. Diagnostic imaging (Ultra sonogram & CT-Scan) shown: a large hypo density, irregular outline lesion noted in right lower liver, post contrast image shown patchy enhancement of the lesion. His serum Alpha-Feto Protein (AFP) level was very high with elevated serum alanine amino transaminase (ALT) enzyme and prothrombin time. Histopathological (microscopic) features are compatible with Hepatocellular carcinoma. His Hepatitis C viral DNA load e.g., core protein variants and genotype 1, have been reported. The patient was treated by surgical resection followed by conservative treatment includes sorafenib & interferon alpha. This case report aims to outlines the epidemiology of HCC in chronic HCV, risk factors and pathophysiology that contribute to this disease process, related pathophysiology of patient's clinical features, screening recommendations, and the available statistics on the impact of new direct-acting antiviral treatment on the development on HCC.
Fulltext Cross-sectional analysis of socioeconomic drivers of PM2.5 pollution in emerging SAARC economies

Musa M, Rahman P, Saha SK, Chen Z, Ali MAS, Gao Y

Sci Rep, 2024 Jul 16;14(1):16357.
PMID: 39014028 DOI: 10.1038/s41598-024-67199-z

Within the intricate interplay of socio-economic, natural and anthropogenic factors, haze pollution stands as a stark emblem of environmental degradation, particularly in the South Asian Association for Regional Cooperation (SAARC) region. Despite significant efforts to mitigate greenhouse gas emissions, several SAARC nations consistently rank among the world's most polluted. Addressing this critical research gap, this study employs robust econometric methodologies to elucidate the dynamics of haze pollution across SAARC countries from 1998 to 2020. These methodologies include the Pooled Mean Group (PMG) and Augmented Mean Group (AMG) estimator, Panel two-stage least squares (TSLS), Feasible Generalized Least Squares (FGLS) and Dumitrescu-Hurlin (D-H) causality test. The analysis reveals a statistically significant cointegrating relationship between PM2.5 and economic indicators, with economic development and consumption expenditure exhibiting positive associations and rainfall demonstrating a mitigating effect. Furthermore, a bidirectional causality is established between temperature and economic growth, both influencing PM2.5 concentrations. These findings emphasize the crucial role of evidence-based policy strategies in curbing air pollution. Based on these insights, recommendations focus on prioritizing green economic paradigms, intensifying forest conservation efforts, fostering the adoption of eco-friendly energy technologies in manufacturing and proactively implementing climate-sensitive policies. By embracing these recommendations, SAARC nations can formulate comprehensive and sustainable approaches to combat air pollution, paving the way for a healthier atmospheric environment for their citizens.
Rationalization of Mushroom-Based Preventive and Therapeutic Approaches to COVID-19: Review

Rahman MA, Rahman MS, Bashir NMB, Mia R, Hossain A, Saha SK, et al.

Int J Med Mushrooms, 2021;23(5):1-11.
PMID: 34347990 DOI: 10.1615/IntJMedMushrooms.2021038285

Since December 2019, a de novo pattern of pneumonia, later named coronavirus disease 2019 (COVID-19), has caused grave upset throughout the global population. COVID-19 is associated with several comorbidities; thus, preventive and therapeutic strategies targeting those comorbidities along with the causative agent, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), seem imperative. In this state-of-the-art review, edible and medicinal mushrooms are featured in the treatment of SARS-CoV-2, COVID-19 pathomanifestations, and comorbid issues. Because this is not an original research article, we admit our shortcomings in inferences. Yet we are hopeful that mushroom-based therapeutic approaches can be used to achieve a COVID-free world. Among various mushroom species, reishi or lingzhi (Ganoderma lucidum) seem most suitable as anti-COVID agents for the global population.
Fulltext Predictors for detecting chronic respiratory diseases in community surveys: A pilot cross-sectional survey in four South and South East Asian low- and middle-income countries

Agarwal D, Hanafi NS, Khoo EM, Parker RA, Ghorpade D, Salvi S, et al.

J Glob Health, 2021;11:04065.
PMID: 34737865 DOI: 10.7189/jogh.11.04065

Background: Our previous scoping review revealed limitations and inconsistencies in population surveys of chronic respiratory disease. Informed by this review, we piloted a cross-sectional survey of adults in four South/South-East Asian low-and middle-income countries (LMICs) to assess survey feasibility and identify variables that predicted asthma or chronic obstructive pulmonary disease (COPD).
Methods: We administered relevant translations of the BOLD-1 questionnaire with additional questions from ECRHS-II, performed spirometry and arranged specialist clinical review for a sub-group to confirm the diagnosis. Using random sampling, we piloted a community-based survey at five sites in four LMICs and noted any practical barriers to conducting the survey. Three clinicians independently used information from questionnaires, spirometry and specialist reviews, and reached consensus on a clinical diagnosis. We used lasso regression to identify variables that predicted the clinical diagnoses and attempted to develop an algorithm for detecting asthma and COPD.
Results: Of 508 participants, 55.9% reported one or more chronic respiratory symptoms. The prevalence of asthma was 16.3%; COPD 4.5%; and 'other chronic respiratory disease' 3.0%. Based on consensus categorisation (n = 483 complete records), "Wheezing in last 12 months" and "Waking up with a feeling of tightness" were the strongest predictors for asthma. For COPD, age and spirometry results were the strongest predictors. Practical challenges included logistics (participant recruitment; researcher safety); misinterpretation of questions due to local dialects; and assuring quality spirometry in the field.
Conclusion: Detecting asthma in population surveys relies on symptoms and history. In contrast, spirometry and age were the best predictors of COPD. Logistical, language and spirometry-related challenges need to be addressed.