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AKT2 is crucial for cancer cells' invasion, metastasis, and survival. It is a possible downstream gene target of cancer glycolysis-related microRNAs. The study investigated the role of miRNA-4716–3p, rs2304186, and the AKT2 gene in blood cancer pathogenesis. RT-qPCR was used to analyze AKT2 gene mRNA and miRNA-4716–3p expression in 200 blood cancer samples and 200 healthy controls. Furthermore, Tetra-ARMS PCR was used to examine the rs2304186 AKT2 SNP in 300 patients and 290 control samples. miRNA-4716–3p was shown to be significantly downregulated (p = 0.0294), whereas mRNA expression of the AKT2 gene was found to be significantly upregulated (p = 0.0034) in blood cancer patients compared to healthy individuals. miRNA-4716–3p downregulation (p = 0.0466) was more pronounced, while AKT2 upregulation was non-significant (p = 0.1661) in untreated patients compared to chemotherapy-treated patients. Blood cancer risk was significantly associated with the rs2304186 GT genotype (p = 0.0432), TT genotype (p = 0.0502), and mutant allele (T) frequency (p = 0.0008). Polymorphism rs2304186 was associated with an increased risk of blood cancer in dominant (p = 0.0011), recessive (p = 0.0502), and additive (p = 0.0008) genetic models. The results suggested that the rs2304186 and the deregulated expression of miRNA-4716–3p and AKT2 gene at the mRNA level may significantly increase the incidence of blood cancer, particularly in the Pakistani population. Therefore, these may function as suitable biomarkers for blood cancer diagnosis and prognosis. Additional, larger-scale investigations may be required to affirm these results.

Seed mycoflora poses significant challenges to rice production, leading to substantial economic losses. Fourteen samples of stored and freshly harvested seeds of five rice varieties were collected from the Agricultural farm of Orissa University of Agriculture and Technology, Bhubaneswar, Odisha, to study the morphology of the mycoflora associated with rice seeds and their impact on seed health and quality. Eight fungal species, including Fusarium pallidoroseum, Fusarium fujikuroi, Curvularia lunata, Helminthosporium oryzae, Trichoconis padwickii, Aspergillus flavus, Rhizopus sp., and Penicillium sp., were isolated, identified, and morphologically characterized based on colony growth, mycelial features, conidial structures, and spore measurements. The rice varieties, viz., Hema, Jyotirmayee, Swarna, Lalat, and Annapurna, were artificially inoculated with F. pallidoroseum, F. fujikuroi, T. padwickii, C. lunata, and H. oryzae. Seeds showed that the fungi had a variable effect on seed quality parameters like germination, seedling vigor index I and seedling vigor index II, speed of germination, and seed health. A maximum of 16.33% reduction of germination was observed by T. padwickii, followed by F. fujikuroi (14.80% in Hema). Seedling vigor (1754.81) incited by T. padwickii inoculation was recorded to be the lowest. Seed rot up to 15.8% was observed in the case of F. fujikuroi. The percentage of root discoloration reached 40.0% by F. pallidoroseum and T. padwickii. In Jyotirmayee, C. lunata caused an 18.88% germination reduction and the lowest seedling vigor (1866.03) by T. padwickii. T padwickii also caused the highest reduction of seedling dry weight (36.12%) in this variety. The result reveals the diversity and prevalence of fungal pathogens in rice seeds. Hence, this study underscores the importance of seed sterilization practices in reducing fungal contamination and the requirement of thorough seed examination to reduce the effects of seed mycoflora associated with rice seeds, which could affect rice production.

This study introduces a new qualitative randomized response technique for gathering trust-worthy sensitive data using a perfect (imperfect) ranked set sampling design. This model takes into account the sizes (weights) of various balls on the randomizing device to choose one of the two questions (out of which one is sensitive); so the respondent feels, liberty in choosing balls. In this way, the likelihood of an honest response increases. It is established that the procedure is easy to apply and the estimate under the proposed model is more precise than the original Warner's randomized response model. In addition, an application to real medical data is considered. Finally, a cost analysis of the proposed model is also presented. [ABSTRACT FROM AUTHOR]

Abstract Aging is a complex biological process characterized by the gradual decline of cellular functions, increased susceptibility to diseases, and impaired stress responses. Hypoxia, defined as reduced oxygen availability, is a critical factor that influences aging through molecular pathways involving hypoxia‐inducible factors (HIFs), oxidative stress, inflammation, and epigenetic modifications. This review explores the interconnected roles of hypoxia in aging, highlighting how hypoxic conditions exacerbate cellular damage, promote senescence, and contribute to age‐related pathologies, including cardiovascular diseases, neurodegenerative disorders, cancer, metabolic dysfunctions, and pulmonary conditions. By examining the molecular mechanisms linking hypoxia to aging, we identify key pathways that serve as potential therapeutic targets. Emerging interventions such as HIF modulators, antioxidants, senolytics, and lifestyle modifications hold promise in mitigating the adverse effects of hypoxia on aging tissues. However, challenges such as the heterogeneity of aging, lack of reliable biomarkers, and safety concerns regarding hypoxia‐targeted therapies remain. This review emphasizes the need for personalized approaches and advanced technologies to develop effective antiaging interventions. By integrating current knowledge, this review provides a comprehensive framework that underscores the importance of targeting hypoxia‐induced pathways to enhance healthy aging and reduce the burden of age‐related diseases.

IntroductionThe coronavirus disease 2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has posed extraordinary challenges to global health systems and economies. The virus’s rapid evolution has resulted in several variants of concern (VOCs), including the highly transmissible Omicron variant, characterized by extensive mutations. In this study, we investigated the genetic diversity, population differentiation, and evolutionary dynamics of the Omicron VOC during the fifth wave of COVID-19 in Pakistan.MethodsA total of 954 Omicron genomes sequenced during the fifth wave of COVID-19 in Pakistan were analyzed. A Bayesian framework was employed for phylogenetic reconstructions, molecular dating, and population dynamics analysis.ResultsUsing a population genomics approach, we analyzed Pakistani Omicron samples, revealing low within-population genetic diversity and significant structural variation in the spike (S) protein. Phylogenetic analysis showed that the Omicron variant in Pakistan originated from two distinct lineages, BA.1 and BA.2, which were introduced from South Africa, Thailand, Spain, and Belgium. Omicron-specific mutations, including those in the receptor-binding domain, were identified. The estimated molecular evolutionary rate was 2.562E-3 mutations per site per year (95% HPD interval: 8.8067E-4 to 4.1462E-3). Bayesian skyline plot analysis indicated a significant population expansion at the end of 2021, coinciding with the global Omicron outbreak. Comparative analysis with other VOCs showed Omicron as a highly divergent, monophyletic group, suggesting a unique evolutionary pathway.ConclusionsThis study provides a comprehensive overview of Omicron’s genetic diversity, genomic epidemiology, and evolutionary dynamics in Pakistan, emphasizing the need for global collaboration in monitoring variants and enhancing pandemic preparedness.

Aeshna mixta (Latreille 1805) is added to the Anisoptera fauna of Pakistan by reporting it from district Neelum of Azad Jammu and Kashmir, Pakistan. Geopolitically the study area lies in an area facing uncertain ground conditions since inception of Pakistan. It is a hard to reach valley between India and Pakistan, very close to the line of control. Out of twenty sampling sites, specimens of Aeshna mixta were found from fifteen localities of the district. With the addition of this taxon, Anisoptera fauna of Pakistan now count 74 species. The area under district Neelum represents many lush green valleys with lots of natural water bodies that support a broad complex of Odonata. More surveys in the area are suggested to unveil more important records from the area.