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Lipid-Based Ionic-Liquid-Mediated Nanodispersions as Biocompatible Carriers for the Enhanced Transdermal Delivery of a Peptide Drug

Uddin S, Islam MR, Chowdhury MR, Wakabayashi R, Kamiya N, Moniruzzaman M, et al.

ACS Appl Bio Mater, 2021 08 16;4(8):6256-6267.
PMID: 35006923 DOI: 10.1021/acsabm.1c00563

Lipid-based biocompatible ionic liquids (LBILs) have attracted attention as carriers in transdermal drug delivery systems (TDDSs) because of their lipophilic character. In this study, we report the formulation of a peptide-LBIL complex microencapsulated in an oil phase as a potential carrier for the transdermal delivery of leuprolide acetate as a model hydrophilic peptide. The peptide-LBIL complexes were prepared via a water-in-oil emulsion composed of 1,2-dimyristoyl-sn-glycerol-3-ethyl-phosphatidylcholine (EDMPC), a fatty acid (stearic, oleic, and linoleic acid)-based LBIL, and cyclohexane followed by freeze-drying to remove the water and cyclohexane. Then, the peptide-LBIL complexes were nanodispersed and stabilized in isopropyl myristate (IPM) using sorbitol laurate (Span-20). Ionic-liquid-in-oil nanodispersions (IL/O-NDs) were prepared with varying weight ratios of LBILs and Span-20 as the surfactant and the cosurfactant, respectively. Keeping the overall surfactant constant at 10 wt % in IPM, a 5:5 wt % ratio of surfactant (IL) and cosurfactant (Span-20) in the IL/O-NDs significantly (p < 0.0001) increased the physiochemical stability, drug-loading capacity, and drug encapsulation efficiency. The in vitro and in vivo peptide delivery across the skin was increased significantly (p < 0.0001) using IL/O-NDs, compared with non-IL-treated groups. Of all of the LBIL-based formulations, [EDMPC][Linoleate]/O-ND was considered the most preferable for a TDDS based on the pharmacokinetic parameters. The transdermal delivery flux with [EDMPC][Linoleate]/O-ND was increased 65-fold compared with the aqueous delivery vehicle. The IL/O-NDs were able to deform the lipid and protein arrangements of the skin layers to enhance the transdermal permeation of the peptide. In vitro and in vivo cytotoxicity studies of the IL/O-NDs revealed the biocompatibility of the LBIL-based formulations. These results indicated that IL/O-NDs are promising biocompatible carriers for lipid-peptide TDDSs.
Insulin Transdermal Delivery System for Diabetes Treatment Using a Biocompatible Ionic Liquid-Based Microemulsion

Islam MR, Uddin S, Chowdhury MR, Wakabayashi R, Moniruzzaman M, Goto M

ACS Appl Mater Interfaces, 2021 Sep 15;13(36):42461-42472.
PMID: 34460218 DOI: 10.1021/acsami.1c11533

Since injection administration for diabetes is invasive, it is important to develop an effective transdermal method for insulin. However, transdermal delivery remains challenging owing to the strong barrier function of the stratum corneum (SC) of the skin. Here, we developed ionic liquid (IL)-in-oil microemulsion formulations (MEFs) for transdermal insulin delivery using choline-fatty acids ([Chl][FAs])-comprising three different FAs (C18:0, C18:1, and C18:2)-as biocompatible surface-active ILs (SAILs). The MEFs were successfully developed using [Chl][FAs] as surfactants, sorbitan monolaurate (Span-20) as a cosurfactant, choline propionate IL as an internal polar phase, and isopropyl myristate as a continuous oil phase. Ternary phase behavior, dynamic light scattering, and transmission electron microscopy studies revealed that MEFs were thermodynamically stable with nanoparticle size. The MEFs significantly enhanced the transdermal permeation of insulin via the intercellular route by compromising the tight lamellar structure of SC lipids through a fluidity-enhancing mechanism. In vivo transdermal administration of low insulin doses (50 IU/kg) to diabetic mice showed that MEFs reduced blood glucose levels (BGLs) significantly compared with a commercial surfactant-based formulation by increasing the bioavailability of insulin in the systemic circulation and sustained the insulin level for a much longer period (half-life > 24 h) than subcutaneous injection (half-life 1.32 h). When [Chl][C18:2] SAIL-based MEF was transdermally administered, it reduced the BGL by 56% of its initial value. The MEFs were biocompatible and nontoxic (cell viability > 90%). They remained stable at room temperature for 3 months and their biological activity was retained for 4 months at 4 °C. We believe SAIL-based MEFs will alter current approaches to insulin therapy and may be a potential transdermal nanocarrier for protein and peptide delivery.
Distribution of prosaposin mRNA in the central nervous system of the pigeon (Columba livia)

Islam MR, Abdullah JM, Atoji Y

Anat Histol Embryol, 2013 Aug;42(4):257-65.
PMID: 22994540 DOI: 10.1111/ahe.12009

Bioassay and immunohistochemical studies have detected the presence of prosaposin in the central nervous system (CNS) of mammals. Here, first time, we have determined the partial cDNA sequence of pigeon prosaposin and mapped the distribution of its mRNA in the pigeon CNS. The predicted amino acid sequence of pigeon prosaposin showed 93 and 60% identity to chicken and human prosaposin, respectively. In situ hybridization, autoradiograms showed that the prosaposin mRNA expression was found in the olfactory bulb, prepiriform cortex, Wulst, mesopallium, nidopallium, hippocampal formation, thalamus, tuberis nucleus, pre-tectal nucleus, nucleus mesencephalicus lateralis, pars dorsalis, nucleus isthmi, pars parvocellularis and magnocellularis, Edinger-Westphal nucleus, optic tectum, cerebellar cortex and nuclei, vestibular nuclei and gray matter of the spinal cord. These results suggest that the cDNA sequence of pigeon prosaposin is comparable to other vertebrates, and the general distribution pattern of prosaposin mRNA resembles those are found in mammals.
Fulltext Assessing the link between witnessing inter-parental violence and the perpetration of intimate partner violence in Bangladesh

Islam MJ, Rahman M, Broidy L, Haque SE, Saw YM, Duc NH, et al.

BMC Public Health, 2017 02 10;17(1):183.
PMID: 28187721 DOI: 10.1186/s12889-017-4067-4

BACKGROUND: We aimed to examine the influence of witnessing father-to-mother violence on: 1) perpetration of intimate partner violence (IPV); and 2) endorsement of attitudes justifying wife beating in Bangladesh.
METHODS: This paper used data from the 2007 Bangladesh Demographic Health Survey. The analyses were based on the responses of 3374 ever-married men. Exposure to IPV was determined by men's self-reports of witnessing inter-parental violence in childhood. We used adjusted binary logistic regression models to assess the influence of exposure on husbands' perpetration of IPV and their endorsement of attitudes justifying wife beating.
RESULTS: Nearly 60% of men reported violent behaviour towards an intimate partner and 35.7% endorsed attitudes justifying spousal abuse. Men who witnessed father-to-mother violence had higher odds of reporting any physical or sexual IPV (adjusted OR [AOR] = 3.26; 95% CI = 2.61, 4.06). Men who had witnessed father-to-mother violence were also 1.34 times (95% CI = 1.08, 1.65) more likely endorse attitudes justifying spousal abuse.
CONCLUSIONS: Committing violence against an intimate partner is an all too frequent practice among men in Bangladesh. The study indicated that men who had witnessed father-to-mother violence were more likley to perpetrate IPV, suggesting an intergenerational transmission of violence. This transmission of violence may operate through the learning and modelling of attitudes favourable to spousal abuse. In support of this, witnnessing inter-parental violence was also associated with the endorsement of attitudes justifying spousal abuse. Our findings indicate the continued importance of efforts to identify and assist boys who have witnessed domestic violence and suggest such efforts should aim to change not just behaviours but also attitudes that facilitate such violence.
Fulltext Stem Cell Transplantation Therapy and Neurological Disorders: Current Status and Future Perspectives

Rahman MM, Islam MR, Islam MT, Harun-Or-Rashid M, Islam M, Abdullah S, et al.

Biology (Basel), 2022 Jan 17;11(1).
PMID: 35053145 DOI: 10.3390/biology11010147

Neurodegenerative diseases are a global health issue with inadequate therapeutic options and an inability to restore the damaged nervous system. With advances in technology, health scientists continue to identify new approaches to the treatment of neurodegenerative diseases. Lost or injured neurons and glial cells can lead to the development of several neurological diseases, including Parkinson's disease, stroke, and multiple sclerosis. In recent years, neurons and glial cells have successfully been generated from stem cells in the laboratory utilizing cell culture technologies, fueling efforts to develop stem cell-based transplantation therapies for human patients. When a stem cell divides, each new cell has the potential to either remain a stem cell or differentiate into a germ cell with specialized characteristics, such as muscle cells, red blood cells, or brain cells. Although several obstacles remain before stem cells can be used for clinical applications, including some potential disadvantages that must be overcome, this cellular development represents a potential pathway through which patients may eventually achieve the ability to live more normal lives. In this review, we summarize the stem cell-based therapies that have been explored for various neurological disorders, discuss the potential advantages and drawbacks of these therapies, and examine future directions for this field.
Fulltext Force-Invariant Improved Feature Extraction Method for Upper-Limb Prostheses of Transradial Amputees

Islam MJ, Ahmad S, Haque F, Reaz MBI, Bhuiyan MAS, Islam MR

Diagnostics (Basel), 2021 May 07;11(5).
PMID: 34067203 DOI: 10.3390/diagnostics11050843

A force-invariant feature extraction method derives identical information for all force levels. However, the physiology of muscles makes it hard to extract this unique information. In this context, we propose an improved force-invariant feature extraction method based on nonlinear transformation of the power spectral moments, changes in amplitude, and the signal amplitude along with spatial correlation coefficients between channels. Nonlinear transformation balances the forces and increases the margin among the gestures. Additionally, the correlation coefficient between channels evaluates the amount of spatial correlation; however, it does not evaluate the strength of the electromyogram signal. To evaluate the robustness of the proposed method, we use the electromyogram dataset containing nine transradial amputees. In this study, the performance is evaluated using three classifiers with six existing feature extraction methods. The proposed feature extraction method yields a higher pattern recognition performance, and significant improvements in accuracy, sensitivity, specificity, precision, and F1 score are found. In addition, the proposed method requires comparatively less computational time and memory, which makes it more robust than other well-known feature extraction methods.
Development of a new drug candidate for the inhibition of Lassa virus glycoprotein and nucleoprotein by modification of evodiamine as promising therapeutic agents

Akash S, Baeza J, Mahmood S, Mukerjee N, Subramaniyan V, Islam MR, et al.

Front Microbiol, 2023;14:1206872.
PMID: 37497547 DOI: 10.3389/fmicb.2023.1206872

The Lassa virus (LASV), an RNA virus prevalent in West and Central Africa, causes severe hemorrhagic fever with a high fatality rate. However, no FDA-approved treatments or vaccines exist. Two crucial proteins, LASV glycoprotein and nucleoprotein, play vital roles in pathogenesis and are potential therapeutic targets. As effective treatments for many emerging infections remain elusive, cutting-edge drug development approaches are essential, such as identifying molecular targets, screening lead molecules, and repurposing existing drugs. Bioinformatics and computational biology expedite drug discovery pipelines, using data science to identify targets, predict structures, and model interactions. These techniques also facilitate screening leads with optimal drug-like properties, reducing time, cost, and complexities associated with traditional drug development. Researchers have employed advanced computational drug design methods such as molecular docking, pharmacokinetics, drug-likeness, and molecular dynamics simulation to investigate evodiamine derivatives as potential LASV inhibitors. The results revealed remarkable binding affinities, with many outperforming standard compounds. Additionally, molecular active simulation data suggest stability when bound to target receptors. These promising findings indicate that evodiamine derivatives may offer superior pharmacokinetics and drug-likeness properties, serving as a valuable resource for professionals developing synthetic drugs to combat the Lassa virus.
Fulltext Introgression of the QTL qSB11-1TT conferring sheath blight resistance in rice (Oryza sativa) into an elite variety, UKMRC 2, and evaluation of its backcross-derived plants

Hossain MK, Islam MR, Sundaram RM, Bhuiyan MAR, Wickneswari R

Front Plant Sci, 2022;13:981345.
PMID: 36699836 DOI: 10.3389/fpls.2022.981345

INTRODUCTION: Sheath blight (SB) is the most damaging fungal disease in rice caused by a soil-borne pathogenic fungus, Rhizoctonia solani Kuhn (R. solani). The disease resistance in rice is a complex quantitative trait controlled by a few major genes. UKMRC2 is a newly developed elite rice variety that possesses high yield potential but is susceptible to sheath blight disease indicating a huge risk of varietal promotion, mass cultivation, and large-scale adoption. The aim of our present study was the development of varietal resistance against R. solani in UKMRC2 to enhance its stability and durability in a wide range of environments and to validate the effects of an SB-resistance QTL on the new genetic background.
METHODS: In our study, we developed 290 BC1F1 backcross progenies from a cross between UKMRC2 and Tetep to introgress the QTL qSBR11-1TT into the UKMRC2 genetic background. Validation of the introgressed QTL region was performed via QTL analysis based on QTL-linked SSR marker genotyping and phenotyping against R. solani artificial field inoculation techniques.
RESULTS AND DISCUSSION: The QTL qSBR11-1TT was then authenticated with the results of LOD score (3.25) derived from composite interval mapping, percent phenotypic variance explained (14.6%), and additive effect (1.1) of the QTLs. The QTL region was accurately defined by a pair of flanking markers K39512 and RM7443 with a peak marker RM27360. We found that the presence of combination of alleles, RM224, RM27360 and K39512 demonstrate an improved resistance against the disease rather than any of the single allele. Thus, the presence of the QTL qSBR11-1TT has been validated and confirmed in the URMRC2 genetic background which reveals an opportunity to use the QTL linked with these resistance alleles opens an avenue to resume sheath blight resistance breeding in the future with marker-assisted selection program to boost up resistance in rice varieties.
Fulltext The trend in exclusive breastfeeding practice and its association with maternal employment in Bangladesh: A multilevel analysis

Ahmmed F, Hossain MJ, Sutopa TS, Al-Mamun M, Alam M, Islam MR, et al.

Front Public Health, 2022;10:988016.
PMID: 36504941 DOI: 10.3389/fpubh.2022.988016

Exclusive breastfeeding (EBF) is essential for infant and child health. This study aimed to explore the trend in the EBF over the last decade in Bangladesh and investigated if there was a significant association with maternal employment by analyzing the data extracted from three consecutive nationally representative surveys: Bangladesh Demographic and Health Surveys (BDHS) of 2011, 2014, and 2017-2018. Prevalence of EBF (95% confidence interval) with the Cochran-Armitage test was reported to see the trend in EBF. A chi-square (χ2) test was applied to find the potential factors associated with EBF. Finally, a three-level logistic regression was utilized to find the significant association between maternal employment and EBF while adjusting other covariates. We observed no increase in the practice of EBF over the last decade (P = 0.632). The prevalence of EBF was 64.9% (95% CI: 61.41, 68.18) in 2011, followed by 60.1% (95% CI: 56.25, 64) in 2014, and 64.9% (95% CI: 61.82, 67.91) in 2017. Regression results showed that employed mothers had 24% (p < 0.05) lower odds of EBF than unemployed mothers. Early initiation of breastfeeding was also found to be significantly associated [Adjusted odds ratio (AOR): 1.22, P < 0.05] with EBF. Government and policymakers must come forward with new interventions to increase the practice of EBF, providing basic education and campaigns on the topic of EBF. Maternity leave should be extended up to 6 months of the child's age to achieve an optimal level of EBF.
Fulltext Factors Associated With Underprivileged E-Learning, Session Jam Phobia, and the Subsequent Mental Distress Among Students Following the Extended University Closure in Bangladesh

Hossain MJ, Ahmmed F, Sarker MMR, Sarwar S, Bari MS, Khan MR, et al.

Front Public Health, 2021;9:807474.
PMID: 35223762 DOI: 10.3389/fpubh.2021.807474

Severe session jam phobia (SJP), the extent of underprivileged online education, and subsequent mental health disorders among students have emerged as distinguished global problems due to the overwhelming effects of coronavirus disease 2019 (COVID-19). The purpose of this research was to evaluate the impact of extended COVID-19 lockdown and its mediating factors on current e-Learning activities, the prevalence of severe SJP and psychological distress among university students in Bangladesh. A web-based cross-sectional study was conducted to assemble responses through Google Form by applying a simple snowball sampling technique among university students aged 18 years or above in Bangladesh. All ethical considerations were maintained, and univariate, bivariate, and multivariate analyses were employed to analyze the acquired data set. Among the total analyzed data (n = 1,122), the male and female ratio was almost 1:1, and a remarkable segment (63.7%) was aged between 21-24 years. Alarmingly, around 50-60% of the students were suffering from severe SJP, prevailing underprivileged education in the e-Learning platform, and severe mental distress. Logistic regression analyses demonstrated that the students from public universities, lower- and mid-income families, lower-aged, and junior years education groups were significantly (p < 0.05) more underprivileged than their counter groups. Besides, the monthly family income and university type significantly influenced the extent of severe SJP. Finally, the students who were female, rustic, come from low-income families (below 25,000 BDT), who had academic uncertainty, job insecurity, online exam phobia, and dissatisfaction with e-Learning education, were significantly suffering from moderate to severe mental distress. The current evidence demonstrates that a substantial number of Bangladeshi university students are struggling with extreme session jam phobia, underprivileged e-Learning education, and subsequent psychological distress, which need to be immediately addressed through concerted efforts by the government, parents, and university authorities.
Fulltext Mathematical modeling of clinical engineering approach to evaluate the quality of patient care

Hossain MA, Ahmad M, Islam MR, David Y

Health Technol (Berl), 2020;10(2):547-561.
PMID: 32432021 DOI: 10.1007/s12553-019-00390-9

At present, the patient care delivery system (PCDS) in a hospital/medical institute/clinic is absolutely medical technology-dependent and this tendency is found to increase day by day. To ensure the quality of patient care (QPC) appropriate implementation of the patient care technology management system (PCTMS) is necessary. Unfortunately, it is found to be absent in the healthcare delivery system in most of the countries in the world. The situation is very much severe, particularly, in medium- and low-income countries like Malaysia, India, Sri Lanka, Bangladesh, Pakistan, etc. The opposite scenario is found in high-income countries, specifically, in Japan where QPC has been improved significantly by adopting the clinical engineering approach (CEA) in their PCDS. Up to now, QPC is determined based on prediction as there are no mathematical ways to evaluate it properly. In this study, we for the first time, propose a mathematical model to evaluate the QPC quantitatively based on feedback control analogy taking into account of CEA in PCTMS, particularly, for clinical and surgical equipment. The model consists of three subsections: the clinical engineering department (CED), PCTMS, and health care engineering directorate (HCED). The correlation among the subsections and their performance parameters are defined and standardized. Multiple linear regression method is applied to derive the least square normal equations for each of the subsections and then the regression coefficients are solved by the standard data taken from 1000 beds hospitals of different countries. The model is applied to reveal the present status of QPC for 18 different countries including high-, middle-, and low-income countries of the world. The results obtained from the model demonstrate that the present status of QPC in Japan is 84.69% and in Pakistan, it is only 0.20%. This huge discrepancy is identified to be caused by the inclusion of CEA in PCDS of Japan. The proposed model can be applied to evaluate the QPC of a hospital/in a country and hence to take necessary steps accordingly for establishing the proposed research methodology. It is to be mentioned here that the proposed model cannot be applied to evaluate the QPC in some countries like Bangladesh, Bhutan, Nepal, etc. due to the unavailability of data related to the model parameters.
Fulltext Natural polymers as potential P-glycoprotein inhibitors: Pre-ADMET profile and computational analysis as a proof of concept to fight multidrug resistance in cancer

Gandla K, Islam F, Zehravi M, Karunakaran A, Sharma I, Haque MA, et al.

Heliyon, 2023 Sep;9(9):e19454.
PMID: 37662819 DOI: 10.1016/j.heliyon.2023.e19454

P-glycoprotein (P-gp) is known as the "multidrug resistance protein" because it contributes to tumor resistance to several different classes of anticancer drugs. The effectiveness of such polymers in treating cancer and delivering drugs has been shown in a wide range of in vitro and in vivo experiments. The primary objective of the present study was to investigate the inhibitory effects of several naturally occurring polymers on P-gp efflux, as it is known that P-gp inhibition can impede the elimination of medications. The objective of our study is to identify polymers that possess the potential to inhibit P-gp, a protein involved in drug resistance, with the aim of enhancing the effectiveness of anticancer drug formulations. The ADMET profile of all the selected polymers (Agarose, Alginate, Carrageenan, Cyclodextrin, Dextran, Hyaluronic acid, and Polysialic acid) has been studied, and binding affinities were investigated through a computational approach using the recently released crystal structure of P-gp with PDB ID: 7O9W. The advanced computational study was also done with the help of molecular dynamics simulation. The aim of the present study is to overcome MDR resulting from the activity of P-gp by using such polymers that can inhibit P-gp when used in formulations. The docking scores of native ligand, Agarose, Alginate, Carrageenan, Chitosan, Cyclodextrin, Dextran, Hyaluronic acid, and Polysialic acid were found to be -10.7, -8.5, -6.6, -8.7, -8.6, -24.5, -6.7, -8.3, and -7.9, respectively. It was observed that, Cyclodextrin possess multiple properties in drug delivery science and here also demonstrated excellent binding affinity. We propose that drug efflux-related MDR may be prevented by the use of Agarose, Carregeenan, Chitosan, Cyclodextrin, Hyaluronic acid, and/or Polysialic acid in the administration of anticancer drugs.
Fulltext Social Stigma as a Barrier to Covid-19 Responses to Community Well-Being in Bangladesh

Mahmud A, Islam MR

Int J Community Wellbeing, 2021;4(3):315-321.
PMID: 34723103 DOI: 10.1007/s42413-020-00071-w

This commentary looks at the social stigma as a barrier to Covid-19 responses to community well-being in Bangladesh. The Covid-19 in Bangladesh particular the way the people respond this has many dimensions to view from sociological perspective. The main objective of this commentary is to analysis how this response is related to social stigma. Gathering information from the recent literature, results showed that there are number of causes around such stigma that include misinformation, feeling of insecurity, fear of responsibility, administrative malfunction, and lack of trust on treatment. These causes of stigma have number of forms such as humor-prone stigma, residential stigma, organizational stigma, community-stigma, and apathetical stigma. Results also show that there are many effects of stigma such as health-risks, harassment, discrimination, life-insecurity, psychological disorder, loss of social capital and emotional capital, shattering family bond and social solidarity that work as barrier to community well-being. This commentary recommends to overcome the barriers through strengthening and decentralization of the COVID-19 medical facilities including testing, tracing, formal quarantining, and special treatment for coronavirus in coronavirus hospitals by allocating a large figure of the state budget and also by taking initiatives of public-private partnership for health management.
Fulltext Road traffic accidents in Bangladesh: Why people have poor knowledge and awareness about traffic rules?

Islam MR, Ali Khan MM, Hossain MM, C Mani KK, Min RM

Int J Crit Illn Inj Sci, 2020 06 08;10(2):70-75.
PMID: 32904453 DOI: 10.4103/IJCIIS.IJCIIS_65_19

Purpose: The study aimed to identify the characteristics of road traffic accident (RTA) and to determine the role of different socioeconomic and demographic factors on the knowledge and awareness about traffic rules among people in Bangladesh.
Study Design: This was a cross-sectional study.
Methods: To conduct this study, 700 primary data were collected from respondents who were involved in RTA by interviewing in medical college hospitals and several private clinics of Dhaka, Rajshahi, and Khulna division in Bangladesh. For the achievement of the objective, the Chi-square test, Cramer's V correlation, and the logistic regression model have been applied in this study.
Results: Traffic rules violation was identified as the second-most important reason behind RTA. Respondent's age, gender, residence, education, occupation, awareness about RTA, etc., were significantly associated with having knowledge and awareness about traffic rules. The result of multivariate analysis showed that respondent's age (<30: odds ratio [OR] = 2.019, confidence interval [CI]: 1.377-2.960); residence (rural: OR = 0.288, CI: 0.193-0.431); education (literate: OR = 5.064, CI: 3.332-7.698); and categories of victims (driver: OR = 2.731, CI: 1.676-4.450 and passenger: 1.869, CI: 1.198-2.916) were the vital predictors of having knowledge and awareness about traffic rules.
Conclusions: By imposing strict traffic act, increasing public awareness through various types of education and awareness/outreach about traffic rules-related program, especially in rural areas, by strictly prohibiting the license giving to unskilled drivers or unfit vehicles, RTA can be minimized.
Choline and amino acid based biocompatible ionic liquid mediated transdermal delivery of the sparingly soluble drug acyclovir

Islam MR, Chowdhury MR, Wakabayashi R, Tahara Y, Kamiya N, Moniruzzaman M, et al.

Int J Pharm, 2020 May 30;582:119335.
PMID: 32311469 DOI: 10.1016/j.ijpharm.2020.119335

Transdermal delivery of drugs is more challenging for drugs that are insoluble or sparingly soluble in water and most organic solvents. To overcome this problem, ionic liquid (IL)-mediated ternary systems have been suggested as potential drug carriers. Here, we report potent ternary (IL-EtOH-IPM) systems consisting of biocompatible ILs, ethanol (EtOH), and isopropyl myristate (IPM) that can dissolve a significant amount of the sparingly soluble drug acyclovir (ACV). The ternary systems were optically transparent and thermodynamically stable with a wide range of IL pertinence. An in vitro drug permeation study showed that the ILs in the ternary systems dramatically enhanced ACV permeation into and across the skin. Fourier Transform Infrared spectroscopy of the stratum corneum (sc) after treatment with ternary systems showed that the skin barrier function was reduced by disturbance of the regularly ordered arrangement of corneocytes and modification of the surface properties of the sc during permeation. Histological analysis, and skin irritation studies using a reconstructed human epidermis model showed the safety profile of the ternary system, and there were no significant changes in the structures of the sc, epidermis, and dermis. Therefore, ternary systems containing biocompatible ILs are promising for transdermal delivery of insoluble or sparingly soluble drugs.
Determinants of Hepatitis B Virus (HBV) Infection Among University Students in Central Bangladesh

Islam MR, Sheba NH, Islam MT, Rahman MM, Hossain S, Hussain MA, et al.

J Community Health, 2022 Feb;47(1):136-142.
PMID: 34491507 DOI: 10.1007/s10900-021-01025-9

This study aimed to determine the seroprevalence and determinants of hepatitis B virus (HBV) infection among university students in Bangladesh. This cross-sectional study was conducted among 614 students from five universities in central Bangladesh. Data were collected on demographic information, immunization history, medical and blood transfusion history through the face-to-face interview. Blood samples were collected and screened for anti-HBsAg using ELISA, HBsAg Rapid Test-cassette, and immune chromatographic test. The overall seroprevalence of HBV infection was 5.0%, and vaccination coverage was 19.2% among the participants. Students having a history of surgery (OR 11.004, 95% CI 3.211-37.707), blood transfusion (OR 5.651, 95% CI 0.965-33.068), being married (OR 4.776, 95% CI 1.508-15.127), and not being vaccinated (OR 9.825, 95% CI 1.130-85.367) were at higher risk of being infected by HBV. This study showed the endemicity of HBV infection among the Bangladeshi population. Marriage, surgical or blood transfusion history, not being vaccinated were the determinants of HBV infection within the study population. Public health initiatives for preventing HBV infection at the university levels should be envisaged.
Fulltext Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19

Sharif O, Islam MR, Hasan MZ, Kabir MA, Hasan ME, AlQahtani SA, et al.

J Healthc Inform Res, 2022;6(1):72-90.
PMID: 34549163 DOI: 10.1007/s41666-021-00105-8

The aim of this study is to analyse the coronavirus disease 2019 (COVID-19) outbreak in Bangladesh. This study investigates the impact of demographic variables on the spread of COVID-19 as well as tries to forecast the COVID-19 infected numbers. First of all, this study uses Fisher's Exact test to investigate the association between the infected groups of COVID-19 and demographical variables. Second, it exploits the ANOVA test to examine significant difference in the mean infected number of COVID-19 cases across the population density, literacy rate, and regions/divisions in Bangladesh. Third, this research predicts the number of infected cases in the epidemic peak region of Bangladesh for the year 2021. As a result, from the Fisher's Exact test, we find a very strong significant association between the population density groups and infected groups of COVID-19. And, from the ANOVA test, we observe a significant difference in the mean infected number of COVID-19 cases across the five different population density groups. Besides, the prediction model shows that the cumulative number of infected cases would be raised to around 500,000 in the most densely region of Bangladesh, Dhaka division.
Modification with Conventional Surfactants to Improve a Lipid-Based Ionic-Liquid-Associated Transcutaneous Anticancer Vaccine

Uddin S, Islam MR, Moshikur RM, Wakabayashi R, Moniruzzaman M, Goto M

Molecules, 2023 Mar 27;28(7).
PMID: 37049732 DOI: 10.3390/molecules28072969

Transcutaneous vaccination is one of the successful, affordable, and patient-friendly advanced immunization approaches because of the presence of multiple immune-responsive cell types in the skin. However, in the absence of a preferable facilitator, the skin's outer layer is a strong impediment to delivering biologically active foreign particles. Lipid-based biocompatible ionic-liquid-mediated nanodrug carriers represent an expedient and distinct strategy to permit transdermal drug delivery; with acceptable surfactants, the performance of drug formulations might be further enhanced. For this purpose, we formulated a lipid-based nanovaccine using a conventional (cationic/anionic/nonionic) surfactant loaded with an antigenic protein and immunomodulator in its core to promote drug delivery by penetrating the skin and boosting drug delivery and immunogenic cell activity. In a follow-up investigation, a freeze-dry emulsification process was used to prepare the nanovaccine, and its transdermal delivery, pharmacokinetic parameters, and ability to activate autoimmune cells in the tumor microenvironment were studied in a tumor-budding C57BL/6N mouse model. These analyses were performed using ELISA, nuclei and HE staining, flow cytometry, and other biological techniques. The immunomodulator-containing nanovaccine significantly (p < 0.001) increased transdermal drug delivery and anticancer immune responses (IgG, IgG1, IgG2, CD8+, CD207+, and CD103+ expression) without causing cellular or biological toxicity. Using a nanovaccination approach, it is possible to create a more targeted and efficient delivery system for cancer antigens, thereby stimulating a stronger immune response compared with conventional aqueous formulations. This might lead to more effective therapeutic and preventative outcomes for patients with cancer.
Fulltext Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4

Al Husaini MAS, Habaebi MH, Gunawan TS, Islam MR, Elsheikh EAA, Suliman FM

Neural Comput Appl, 2021 Aug 07.
PMID: 34393379 DOI: 10.1007/s00521-021-06372-1

Breast cancer is one of the most significant causes of death for women around the world. Breast thermography supported by deep convolutional neural networks is expected to contribute significantly to early detection and facilitate treatment at an early stage. The goal of this study is to investigate the behavior of different recent deep learning methods for identifying breast disorders. To evaluate our proposal, we built classifiers based on deep convolutional neural networks modelling inception V3, inception V4, and a modified version of the latter called inception MV4. MV4 was introduced to maintain the computational cost across all layers by making the resultant number of features and the number of pixel positions equal. DMR database was used for these deep learning models in classifying thermal images of healthy and sick patients. A set of epochs 3-30 were used in conjunction with learning rates 1 × 10-3, 1 × 10-4 and 1 × 10-5, Minibatch 10 and different optimization methods. The training results showed that inception V4 and MV4 with color images, a learning rate of 1 × 10-4, and SGDM optimization method, reached very high accuracy, verified through several experimental repetitions. With grayscale images, inception V3 outperforms V4 and MV4 by a considerable accuracy margin, for any optimization methods. In fact, the inception V3 (grayscale) performance is almost comparable to inception V4 and MV4 (color) performance but only after 20-30 epochs. inception MV4 achieved 7% faster classification response time compared to V4. The use of MV4 model is found to contribute to saving energy consumed and fluidity in arithmetic operations for the graphic processor. The results also indicate that increasing the number of layers may not necessarily be useful in improving the performance.
Fulltext Polyphenols Targeting Oxidative Stress in Spinal Cord Injury: Current Status and Future Vision

Islam F, Bepary S, Nafady MH, Islam MR, Emran TB, Sultana S, et al.

Oxid Med Cell Longev, 2022;2022:8741787.
PMID: 36046682 DOI: 10.1155/2022/8741787

A spinal cord injury (SCI) occurs when the spinal cord is deteriorated or traumatized, leading to motor and sensory functions lost even totally or partially. An imbalance within the generation of reactive oxygen species and antioxidant defense levels results in oxidative stress (OS) and neuroinflammation. After SCI, OS and occurring pathways of inflammations are significant strenuous drivers of cross-linked dysregulated pathways. It emphasizes the significance of multitarget therapy in combating SCI consequences. Polyphenols, which are secondary metabolites originating from plants, have the promise to be used as alternative therapeutic agents to treat SCI. Secondary metabolites have activity on neuroinflammatory, neuronal OS, and extrinsic axonal dysregulated pathways during the early stages of SCI. Experimental and clinical investigations have noted the possible importance of phenolic compounds as important phytochemicals in moderating upstream dysregulated OS/inflammatory signaling mediators and axonal regeneration's extrinsic pathways after the SCI probable significance of phenolic compounds as important phytochemicals in mediating upstream dysregulated OS/inflammatory signaling mediators. Furthermore, combining polyphenols could be a way to lessen the effects of SCI.

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