Dengue fever remains a significant public health concern in tropical regions, including Central India, where outbreaks are frequent and associated with high morbidity and mortality. This study investigated the dynamics of dengue virus transmission and evolution in Central India from 2019 to 2023, focusing on the emergence of new strains and their impact on outbreak patterns. For this, 40 mosquito pools and 300 patient samples were recruited for the study. Phylogenetic and Bayesian evolutionary analyses performed on CPrM region and whole genome sequences generated by Sanger and Illumina sequencing, respectively, revealed the emergence and predominance of a novel DENV-2 genotype IV lineage III strain in the 2019 and 2023 outbreaks, which displaced the previously circulating DENV-1 genotype responsible for the 2016–2017 outbreak. Despite pre-existing DENV-1 neutralizing antibodies in the community (67 healthy volunteers), the novel DENV-2 strain exhibited higher viral loads and a greater reproduction number (R0), contributing to rapid disease spread. Molecular clock and Shannon entropy analyses suggest that DENV evolution occurred within the mosquito vector, driven by natural selection. Our findings highlight the importance of continuous DENV surveillance, including genetic characterization in both vectors and hosts, to understand viral evolution and predict future outbreaks. Rapid urbanization and inadequate sanitation in densely populated regions like India create ideal breeding grounds for mosquitoes, facilitating the introduction and establishment of novel DENV strains. Interrupting the vector–DENV–host cycle through targeted interventions is crucial for effective dengue control.

Background and Objectives: Influenza A/H1N1pdm09 causes respiratory illness and remains a concern for public health. Since its first emergence in 2009, the virus has been continuously circulating in the form of its genetic variants. Influenza A/ H1N1pdm09 surveillance is essential for uncovering emerging variants of epidemiologic and vaccine efficacy. The present study attempts in silico analysis and molecular characterization of Influenza A (H1N1) pdm09 virus circulating and causing major outbreaks in central India during 2009-2019. Materials and Methods: We have investigated the antigenic drift analysis of 96 isolates’ hemagglutinin (HA) gene sequences (59 central Indian and 37 local Indian and 28 global reference HA gene sequences) of Influenza A/H1N1pdm09 viruses from 2009 to 2019. The study includes mutational (Multiple sequence Alignment), phylogenetic (Maximum Likelihood Method), and statistical analysis (Covariance and correlation) of HA sequences submitted in NCBI, IRD and GISAID from central India. Results: Phylogenetic analysis indicated maximum clustering of central Indian HA gene sequences in genogroup 6B. Analysis of amino acid sequence alignment revealed changes in receptor binding site (RBS). The frequency of S220T amino acid substitution was found to be high followed by S202T, K300E A273T, K180Q. The Karl Pearson correlation coefficient (r) and covariance between the number of mutations and the death toll was found +0.246 and +100.3 respectively. Conclusion: The study identifies the continuous genetic variations in the HA gene sequences of circulating Influenza A/ H1N1pdm09 in central India from the year 2009 to 2019. Further suggesting importance of monitoring the gradual evolution of the virus with regards to an increase in virulence, pathogenicity and vaccine efficacy timely.

MCAM-1 (CD146) is an endothelial cell adhesion molecule belonging to the immunoglobulin superfamily. Recent studies have identified CD146 expression as a critical marker for tumor progression, migration, and metastasis in various malignancies. This study aimed to evaluate CD146 immunohistochemical expression in various gynecological cancers. This study was conducted in a tertiary medical center in central India. A total of 49 gynecological cancer cases and 16 site-matched controls were included. The cases comprised 27 cervical, 10 endometrial, 10 ovarian, and two miscellaneous cancers. CD146 immunohistochemistry was performed and assessed for immunoreactivity score (IRS), microvascular density (MVD), and microvascular caliber (MVC). An IRS of 5 or more was considered CD146 positive. The p-values for CD146 positivity for cases vs. control were 0.0531, 0.0580, and 0.007 for cervical, endometrial, and ovarian sites, respectively. The mean MVD was found to be significantly higher in cases compared with benign tissues (p-value <0.00001), and the mean MVC of cases was found to be smaller when compared with the controls (p-value <0.0001). MVD by CD146 was found to be higher in gynecological malignancies, highlighting its role in cancer neo-angiogenesis and its potential therapeutic role. CD146 epithelial expression was also significantly higher in ovarian cancers. Further studies with a larger sample size are required to confirm that this protein may be a potential theognostic target in gynecological cancers.

In December 2019, novel severe acute respiratory syndrome coronavirus 2 (nSARS‐CoV‐2) virus outbreaks emerged from Wuhan, China, and spread all over the world, including India. Molecular diagnosis of Coronavirus Disease 2019 (COVID) 19 for densely and highly populated countries like India is time‐consuming. A few reports have described the successful diagnosis of nSARS‐CoV‐2 virus from sewage and wastewater samples contaminated with fecal matter, suggesting the diagnosis of COVID 19 from the same to raise an alarm about the community transmission of virus for implementation of evacuation and lockdown strategies. So far, the association between the detection of virus and its concentration in stool samples with severity of the disease and the presence or absence of gastrointestinal symptoms have been rarely reported. We led the search utilizing multiple databases, specifically PubMed (Medline), EMBASE, and Google Scholar. We conducted a literature survey on gastrointestinal infection and the spread of this virus through fecal–oral transmission. Reports suggested that the existence and persistence of nSARS‐CoV‐2 in anal/rectal swabs and stool specimens for a longer period of time than in nasopharyngeal swabs provides a strong tenable outcome of gastrointestinal contamination and dissemination of this infection via potential fecal–oral transmission. This review may be helpful to conduct further studies to address the enteric involvement and excretion of nSARS‐CoV‐2 RNA in feces and control the community spread in both COVID‐19 patients ahead of the onset of symptoms and in asymptomatic individuals through wastewater and sewage surveillance as an early indication of infection. The existence of the viral genome and active viral particle actively participate in genomic variations. Hence, we comprehended the enteric spread of different viruses amongst communities with special reference to nSARS‐CoV‐2.

Context Dyslipidemia is a multifactorial disease in which lipoproteins play an important role as one of the early markers for coronary heart disease (CHD). Mixed dyslipidemia is common in people with diabetes mellitus, but nondiabetic dyslipidemics (NDD) remain unidentified for the risk of developing dyslipidemia and eventually CHD. Objectives This pilot study attempts to analyze the genetic basis of lipid metabolism alterations, emphasizing the association between fatty acid-binding protein-2 (FABP2-AIa54Thr) and apolipoprotein-C3 (APOC3-rs5128) genetic polymorphism, as a risk for developing dyslipidemia and CHD in NDD. Methods and Design Total 90 subjects-30 DD, 30 NDD, and 30 apparently healthy subjects representing Central India-were included. Biochemical analysis and DNA genotyping were done by polymerase chain reaction restriction fragment length polymorphism. Statistical Analysis The biochemical parameters were reported as means +/- standard deviation. One-way analysis of variance test was used to compare biochemical parameters of three groups. Chi-squared test was done to compare genotype distributions. The strength of association was assessed by odds ratios (ORs) with 95% confidence intervals (as). All statistical analysis was done using SPSS-PC software and Graph Pad. Results In NDD, maximum polymorphism was observed followed by DD and least polymorphism was observed in controls. There was a significant association of APOC3 G allele with occurrence of hypertriglyceridemia (p < 0.05): however, no such association was found for FABP2 A allele (p > 0.05). Logistic regression analysis revealed APOC3 polymorphism to be significantly associated with dyslipidemia (OR = 2.6667, 95% CI = 1.0510-6.7663, p = 0.0341): no such association was found for FABP2 polymorphism (OR = 0.4643, 95% CI = 0.1641-1.3136, p = 0.1347). The triglyceride and cholesterol values in individuals with homozygous genotype indicate that genetic study is comparable to the biochemical findings in carriers of polymorphic allele than noncarriers, especially in NDD patients. Conclusions Pilot study indicates that the presence of APOC3 gene polymorphism is associated with pro-atherogenic dyslipidemia in nondiabetic patients and may raise risk of CHD. This information could be used for preventive strategies in NDD group that may otherwise go unnoticed.