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  1. Mahawer S, Kumar R, Prakash O, Singh S, Singh Rawat D, Dubey SK, et al.
    Curr Top Med Chem, 2023;23(20):1964-1972.
    PMID: 37218200 DOI: 10.2174/1568026623666230522104104
    Alpinia malaccensis, commonly known as "Malacca ginger" and "Rankihiriya," is an important medicinal plant of Zingiberaceae. It is native to Indonesia and Malaysia and widely distributed in countries including Northeast India, China, Peninsular Malaysia and Java. Due to vide pharmacological values, it is necessary to recognize this species for its significance of pharmacological importance. This article provides the botanical characteristics, chemical compounds of vegetation, ethnopharmacological values, therapeutic properties, along with the potential pesticidal properties of this important medicinal plant. The information in this article was gathered by searching the online journals in the databases such as PubMed, Scopus, Web of Science etc. The terms such as Alpinia malaccensis, Malacca ginger, Rankihiriya, pharmacology, chemical composition, ethnopharmacology, etc., were used in different combinations. A detailed study of the available resources for A. malaccensis confirmed its native and distribution, traditional values, chemical properties, and medicinal values. Its essential oils and extracts are the reservoir of a wide range of important chemical constituents. Traditionally, it is being used to treat nausea, vomiting and wounds along with as a seasoning agent in meat processing and as perfume. Apart from traditional values, it has been reported for several pharmacological activities such as antioxidant, antimicrobial, anti-inflammatory etc. We believe that this review will help to provide the collective information of A. malaccensis to further explore it in the prevention and treatment of various diseases and help to the systematic study of this plant to utilize its potential in various areas of human welfare.
  2. Marzo RR, Vinay V, Bahari R, Chauhan S, Ming DAF, Nelson Fernandez SFA, et al.
    PMID: 34549098 DOI: 10.1016/j.cegh.2021.100868
    INTRODUCTION: The outbreak of coronavirus posits deleterious consequences on global healthcare system while affecting human life in every aspect. Despite several measures undertaken to limit the socio-economic effect of coronavirus, various challenges remain pervasive, and one such challenge is mental health, particularly depression and anxiety. Therefore, this study examines the prevalence and determinants of depression and anxiety in Malaysian population during third wave of COVID-19.

    METHODS: A cross-sectional online survey was carried out via social media platforms and 1544 Malaysians were selected. The level of depression was assessed by Patient Health Questionnaires (PHQ-9) and scored accordingly for categorization. Zung's Self-Rating Anxiety Scale (SAS) was used as a self-assessment survey to quantify the level of anxiety of persons experiencing anxiety-related symptoms. Percentage distribution and logistic regression analysis were used in the data analysis.

    RESULTS: Results showed that one-fourth (25.1%) of the participants had severe depressive symptoms. Almost one-sixth (18.7%) had mild depressive symptoms and one-third (34.1%) had mild to moderate anxiety symptoms. Age, gender, and friends infected with virus were the three important predictors of depression and anxiety. The odds of having depression (OR = 1.44; C·I. = 1.32-1.62) and anxiety (OR = 1.36; C·I. = 1.27-1.47) were significantly higher among females than in males.

    CONCLUSION: A significant proportion of the study participants were facing mild to severe depression and anxiety symptoms which is very alarming as the pandemic is still now increasing across the country. Immediate interventions including community counselling programmes, TV and social media campaigns are urgently needed to reduce the psychological stress among the Malaysian population.

  3. Khosla A, Sonu, Awan HTA, Singh K, Gaurav, Walvekar R, et al.
    Adv Sci (Weinh), 2022 Dec;9(36):e2203527.
    PMID: 36316226 DOI: 10.1002/advs.202203527
    The continuous deterioration of the environment due to extensive industrialization and urbanization has raised the requirement to devise high-performance environmental remediation technologies. Membrane technologies, primarily based on conventional polymers, are the most commercialized air, water, solid, and radiation-based environmental remediation strategies. Low stability at high temperatures, swelling in organic contaminants, and poor selectivity are the fundamental issues associated with polymeric membranes restricting their scalable viability. Polymer-metal-carbides and nitrides (MXenes) hybrid membranes possess remarkable physicochemical attributes, including strong mechanical endurance, high mechanical flexibility, superior adsorptive behavior, and selective permeability, due to multi-interactions between polymers and MXene's surface functionalities. This review articulates the state-of-the-art MXene-polymer hybrid membranes, emphasizing its fabrication routes, enhanced physicochemical properties, and improved adsorptive behavior. It comprehensively summarizes the utilization of MXene-polymer hybrid membranes for environmental remediation applications, including water purification, desalination, ion-separation, gas separation and detection, containment adsorption, and electromagnetic and nuclear radiation shielding. Furthermore, the review highlights the associated bottlenecks of MXene-Polymer hybrid-membranes and its possible alternate solutions to meet industrial requirements. Discussed are opportunities and prospects related to MXene-polymer membrane to devise intelligent and next-generation environmental remediation strategies with the integration of modern age technologies of internet-of-things, artificial intelligence, machine-learning, 5G-communication and cloud-computing are elucidated.
  4. Bhaskar V, Kumar S, Sujathan Nair A, Gokul S, Rajappan Krishnendu P, Benny S, et al.
    J Biomol Struct Dyn, 2023 Dec 08.
    PMID: 38064315 DOI: 10.1080/07391102.2023.2291549
    Tuberculosis is one of the most ancient infectious diseases known to mankind predating upper Paleolithic era. In the current scenario, treatment of drug resistance tuberculosis is the major challenge as the treatment options are limited, less efficient and more toxic. In our study we have developed an atom based 3D QSAR model, statistically validated sound with R2 > 0.90 and Q2 > 0.72 using reported direct inhibitors of InhA (2018-2022), validated by enzyme inhibition assay. The model was used to screen a library of 3958 molecules taken from Binding DB and candidates molecules with promising predicted activity value (pIC50) > 5) were selected for further analyzed screening by using molecular docking, ADME profiling and molecular dynamic simulations. The lead molecule, ZINC11536150 exhibited good docking score (glideXP = -11.634 kcal/mol) compared to standard triclosan (glideXP =  -7.129 kcal/mol kcal/mol) and through molecular dynamics study it was observed that the 2nv6-complex of ZINC11536150 with Mycobacterium tuberculosis InhA (PDB entry: 2NV6) complex remained stable throughout the entire simulation time of 100 ns.Communicated by Ramaswamy H. Sarma.
  5. Global Burden of Disease 2019 Cancer Collaboration, Kocarnik JM, Compton K, Dean FE, Fu W, Gaw BL, et al.
    JAMA Oncol, 2022 Mar 01;8(3):420-444.
    PMID: 34967848 DOI: 10.1001/jamaoncol.2021.6987
    IMPORTANCE: The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden.

    OBJECTIVE: To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019.

    EVIDENCE REVIEW: The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs).

    FINDINGS: In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles.

    CONCLUSIONS AND RELEVANCE: The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world.

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