Health care access, psychosocial outcomes and mental health in adults living with epilepsy during the COVID-19 pandemic

PURPOSE

People living with epilepsy (PLWE) have a higher prevalence of mental health comorbidities and poorer psychosocial outcomes compared to the general population. The aim of this study was to examine psychosocial outcomes, mental health, healthcare accessibility, and seizure burden in PLWE during the COVID-19 pandemic.

METHODS

We conducted a cross-sectional study of adults with epilepsy treated in an urban multicenter health system from 2021 to 2022. A standardized questionnaire assessed for COVID-19 history, comorbidities, access to antiseizure medications (ASMs) and neurological care, seizure burden, and psychosocial outcomes (e.g., employment, social and financial support). The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were administered to evaluate for depression and anxiety. Frequency and proportions for categorical variables and median and interquartile ranges for continuous variables were calculated.

RESULTS

Fifty-five PLWE participated (95 % response rate). Median age was 40 years (IQR 31.5-66.5), 61.8 % were women, 47.3 % had a bachelor's degree or higher and 29.1 % each had Medicaid and Medicare insurance. Race (from highest to lowest %) was: 32.7 % White, 20 % Black, 20 % Latinx, 14.5 % Asian, and 12.7 % selected "other" or "prefer not to say." COVID-19 had been diagnosed in 21.8 % of participants. Symptoms of anxiety and depression were self-reported by 43.6 % and 34.5 % of patients, respectively, with many describing this symptom as new post-pandemic (37.5 % and 31.6 %, respectively). Using validated scales, 52.7 % had depression (PHQ-9 score ≥ 5) with 30.9 % having moderate/severe depression (PHQ-9 score ≥ 10), while 29.1 % had probable generalized anxiety disorder (GAD-7 score ≥ 8). Seizure burden increased in 21.8 % of participants, while 20 % reported fewer seizures and 29.1 % were seizure free since the COVID-19 pandemic. Economic impacts of the pandemic included job loss (25 % amongst those employed at onset of pandemic), new or worsened financial difficulties (40 %), and new or worsened social support issues (30.9 %). Of all participants, 18.2 % reported difficulties accessing ASMs and 25.5 % cancelled visits, but of those with cancelled visits, 78.6 % had their appointments rescheduled as a telehealth visit.

CONCLUSION

Our cohort of PLWE experienced some challenges during the COVID-19 pandemic including poorer mental health and financial and employment-related stressors. Encouragingly, healthcare access was relatively spared during the COVID-19 crisis, with some patients even reporting a reduction in seizure burden. However, PLWE require ongoing psychosocial support with particular attention to decompensation of mental health and social stressors that may be exacerbated by the COVID-19 pandemic.

Siderophore of plant growth promoting rhizobacterium origin reduces reactive oxygen species mediated injury in Solanum spp. caused by fungal pathogens

AIMS

The study aims to explore antifungal properties of bacillibactin siderophore produced by the plant growth-promoting rhizobacterium (PGPR) Bacillus subtilis against fungal phytopathogens Alternaria porri and Fusarium equiseti isolated from Solanum lycopersicum and Solanum melongena plants.

METHODS AND RESULTS

Alternaria porri and F. equiseti were isolated from infected plants of eggplant and tomato, respectively. A plate assay was employed to assess the effect of bacillibactin against the phytopathogens. The antifungal potential of the PGPR was evaluated by estimation of dry fungal biomass, visualization of cellular deformity using compound and scanning electron microscopy, antioxidative enzyme assay and analysis of membrane damage via using lipid peroxidation. Inductively coupled plasma atomic emission spectroscopy (ICP-AES) analysis was employed to investigate changes in intracellular iron content. The impact of bacillibactin on pathogenesis was evaluated by infecting detached leaves of S. lycopersicum and S. melongena plants with both the pathogens and treating the infected leaves with bacillibactin. Leaves were further investigated for ROS accumulation, extent of necrosis and cell death. Our findings revealed significant damage to the hyphal structure of A. porri and F. equiseti following treatment with bacillibactin. Biomass reduction, elevated antioxidative enzyme levels, and membrane damage further substantiated the inhibitory effects of the siderophore on fungal growth. ICP-AES analysis indicates an increase in intracellular iron content suggesting enhanced iron uptake facilitated by bacillibactin. Moreover, application of 1500 µg ml-1 bacillibactin on infected leaves demonstrated a substantial inhibition of ROS accumulation, necrosis, and cell death upon bacillibactin treatment.

CONCLUSIONS

This study confirms the potent antagonistic activity of bacillibactin against both the phytopathogens A. porri and F. equiseti growth, supporting its potential as a promising biological control agent for fungal plant diseases. Bacillibactin-induced morphological, physiological, and biochemical alterations in the isolated fungi and pathogen-infected leaves highlight the prospects of bacillibactin as an effective and sustainable solution to mitigate economic losses associated with fungal infections in vegetable crops.

Aflatoxin B1 administration causes inflammation and apoptosis in the lungs and spleen

Aflatoxin is a naturally occurring mycotoxin that has numerous toxic effects. The main aim of the present study was to evaluate the toxic effects of aflatoxin B1 (AFB1) on the lungs and spleen. Mice were repeatedly exposed to AFB1 (0.3 mg/kg body weight) on alternate days for four weeks via oral route. The histopathological data in AFB1-treated mice show alveolar epithelial hyperplasia with inflammation and the presence of numerous alveolar macrophages with minimal hemorrhage. There was an increase in vascular neutrophils and interstitial inflammation. The branching of vessels was plugged with neutrophils. AFB1 administration also causes splenomegaly. The AFB1-treated spleen shows the tingible body macrophages (TBM) scattered within the splenic white pulp. Apoptosis may lead to atrophy in a selected region of the white pulp area. There is a decrease in cellularity within the periarteriolar lymphatic sheath (PALS). The inflammation causes the congestion of red pulp with the increase in nuclear debris, and vacuoles are also visible. The flow cytometry data further suggests enhanced apoptosis in lung and spleen cells.

Sphingolipid diversity in Candida auris: unraveling interclade and drug resistance fingerprints

In this study, we explored the sphingolipid (SL) landscape in Candida auris, which plays pivotal roles in fungal biology and drug susceptibility. The composition of SLs exhibited substantial variations at both the SL class and molecular species levels among clade isolates. Utilizing principal component analysis, we successfully differentiated the five clades based on their SL class composition. While phytoceramide (PCer) was uniformly the most abundant SL class in all the isolates, other classes showed significant variations. These variations were not limited to SL class level only as the proportion of different molecular species containing variable number of carbons in fatty acid chains also differed between the isolates. Also a comparative analysis revealed abundance of ceramides and glucosylceramides in fluconazole susceptible isolates. Furthermore, by comparing drug-resistant and susceptible isolates within clade IV, we uncovered significant intraclade differences in key SL classes such as high PCer and low long chain base (LCB) content in resistant strains, underscoring the impact of SL heterogeneity on drug resistance development in C. auris. These findings shed light on the multifaceted interplay between genomic diversity, SLs, and drug resistance in this emerging fungal pathogen.

Rapid nongenomic estrogen signaling controls alcohol drinking behavior

The sex steroid hormone estrogen is a key modulator of numerous physiological processes and adaptive behaviors, but it may also be co-opted to drive maladaptive behaviors. While many behavioral roles for estrogen signaling have been shown to occur through canonical genomic signaling mechanisms via nuclear receptors, estrogen can also act in a neurotransmitter-like fashion at membrane-associated estrogen receptors to rapidly regulate neuronal function. Early alcohol drinking confers greater risk for alcohol use disorder in women than men, and binge alcohol drinking is correlated with high circulating estrogen but a causal role for estrogen in alcohol drinking has not been established. Here, we demonstrate that gonadally intact female mice consume more alcohol and display an anxiolytic phenotype when they have elevated levels of ovarian-derived estrogen across the estrous cycle. We found that rapid, nongenomic estrogen signaling at membrane-associated estrogen receptor alpha in the bed nucleus of the stria terminalis (BNST) is necessary and sufficient for the pro-alcohol drinking effects of ovarian estrogen signaling, regardless of the transcriptional program of a high ovarian estrogen state. We further show that a population of corticotropin-releasing factor (CRF) BNST neurons (BNSTCRF) is a critical mediator of these effects, as high estrogen rapidly enhances synaptic excitation of BNSTCRF neurons and promotes their role in driving binge alcohol drinking. These findings show a causal role for endogenous, ovarian-derived estrogen in hormonal modulation of risky alcohol consumption and provide the first demonstration of a purely rapid, nongenomic signaling mechanism of ovarian estrogen in the brain controlling behavior in gonadally intact females.

Screening of potential phytomolecules against MurG as drug target in nosocomial pathogen Pseudomonas aeruginosa: perceptions from computational campaign

The nosocomial infection outbreak caused by Pseudomonas aeruginosa remains a public health concern. Multi-drug resistant (MDR) strains of P. aeruginosa are rapidly spreading leading to a huge mortality rate because of the unavailability of promising antimicrobials. MurG glycotransferase [UDP-N-acetylglucosamine-N-acetylmuramyl (pentapeptide) pyrophosphoryl-undecaprenol N-acetylglucosamine transferase] is located at the plasma membrane and plays a key role in murein (peptidoglycan) biosynthesis in bacteria. Since MurG is required for bacterial cell wall synthesis and is non-homologous to Homo sapiens; it can be a potential target for the antagonist to treat P. aeruginosa infection. The discovery of high-resolution crystal structure of P. aeruginosa MurG offers an opportunity for the computational identification of its prospective inhibitors. Therefore, in the present study, the crystal structure of MurG (PDB ID: 3S2U) from P. aeruginosa was selected, and computational docking analyses were performed to search for functional inhibitors of MurG. IMPPAT (Indian medicinal plants, phytochemicals and therapeutic) phytomolecule database was screened by computational methods with MurG catalytic site. Docking results identified Theobromine (-8.881 kcal/mol), demethoxycurcumin (-8.850 kcal/mol), 2-alpha-hydroxycostic acid (-8.791 kcal/mol), aurantiamide (-8.779 kcal/mol) and petasiphenol (-8.685 kcal/mol) as a potential inhibitor of the MurG activity. Further, theobromine and demethoxycurcumin were subjected to MDS (molecular dynamics simulation) and free energy (MM/GBSA) analysis to comprehend the physiological state and structural stability of MurG-phytomolecules complexes. The outcomes suggested that these two phytomolecules could act as most favorable natural hit compounds for impeding the enzymatic action of MurG in P. aeruginosa, and thus it needs further validation by both in vitro and in vivo analysis. HIGHLIGHTSThe top phytomolecules such as theobromine, demethoxycurcumin, 2-alpha-hydroxycostic acid, aurantiamide and petasiphenol displayed promising binding with MurG catalytic domain.MurG complexed with theobromine and demethoxycurcumin showed the best interaction and stable by MD simulation at 100 ns.The outcome of MurG binding phytomolecules has expanded the possibility of hit phytomolecules validation.Communicated by Ramaswamy H. Sarma.

Immunoinformatics-based multi-epitope containing fused polypeptide vaccine design against visceral leishmaniasis with high immunogenicity and TLR binding

Visceral leishmaniasis (VL) is the most lethal among all leishmaniasis diseases and remains categorized as a neglected tropical disease (NTD). This study aimed to develop a peptide-based multi-epitope vaccine construct against VL using immunoinformatics methodologies. To achieve this, four distinct proteins were screened to identify peptides consisting of 9-15 amino acids with high binding affinity to toll-like receptors (TLRs), strong antigenicity, low allergenicity, and minimal toxicity. The resulting multi-epitope vaccine construct was fused in a tandem arrangement with appropriate linker peptides and exhibited superior properties related to cytotoxic T lymphocytes (CTLs), helper T lymphocytes (HTLs), and B-cell epitopes. Subsequently, a three-dimensional (3D) model of the vaccine construct was generated, refined, and validated for structural stability and immune response capabilities. Molecular docking and simulations confirmed the vaccine construct's stability and binding affinities with TLRs, with TLR4 displaying the highest binding affinity, followed by TLR2 and TLR3. Additionally, simulations predicted robust cellular and humoral antibody-mediated immune responses elicited by the designed vaccine construct. Notably, this vaccine construct includes proteins from various pathways of Leishmania donovani (LD), which have not been previously utilized in VL vaccine design. Thus, this study opens new avenues for the development of vaccines against diverse protozoan diseases.

Plummeting toxic contaminates from water through phycoremediation: Mechanism, influencing factors and future outlook to enhance the capacity of living and non-living algae

Freshwater habitats hold a unique role in the survival of all living organisms and supply water for drinking, irrigation, and life support activities. In recent decades, due to anthropogenic activities, deterioration in the water quality has been a long-lasting problem and challenge to the scientific fraternity. Although, these freshwater bodies have a bearable intrinsic capacity for pollution load however alarming increase in pollution limits the intrinsic capacities and requires additional technological interventions. The release of secondary pollutants from conventional interventions further needs revisiting the existing methodologies and asking for green interventions. Green interventions such as phycoremediation are natural, eco-friendly, economic, and energy-efficient alternatives and provide additional benefits such as nutrient recovery, biofuel production, and valuable secondary metabolites from polluted freshwater bodies. This systemic review in a nut-shell comprises the recent research insights on phycoremediation, technological implications, and influencing factors, and further discusses the associated mechanisms of metal ions biosorption by living and non-living algae, its advantages, and limitations. Besides, the article explores the possibility of future research prospects for applicability at a field scale that will help in the efficient utilization of resources, and improved ecological and health risks.

S, Sharma VK. Genome-wide dissection of AT-hook motif nuclear-localized gene family and their expression profiling for drought and salt stress in rice (Oryza sativa)

AT-hook motif nuclear localized (AHL) genes are functionally very less explored, but their nature is very diverse. In the present study, we identified 20 AHL genes in rice. Phylogenetic analyses and evolutionary classification of AHL genes showed that they are conserved in plants, but the number of genes is still expanding in different crops and regulating new biological functions. Gene structure analysis showed that OsAHLs are with and without intron types of genes, suggesting that AHL genes added intron during evolution for neofunctionalization. The cis analysis of OsAHL genes suggested its motif diversity. In order to understand the function, 19 transcriptomes were identified from various tissues and different developmental stages of rice, and they were divided into eight groups by different temporal and spatial expression. Through co-expression analysis, 11 OsAHLs and 13 novel genes with intricate networks that control many biological pathways in rice were identified. The interactions of OsAHL proteins showed that they co-regulate important processes including flowering, reproductive organ development, and photosynthesis activity. The functionality of all 20 genes of OsAHL for drought and salt stress in leaf tissues of two contrasting genotypes (IR64 and NL44) of rice was studied using qRT-PCR. The result clearly showed significant upregulation of OsAHL genes under drought and salt conditions over the control. The differential expression between IR64 and NL44 showed a significant upregulation of OsAHL genes in NL44 as compared to the IR64 genotype under drought and salt stress. Overall, the result indicates that AHL genes might be involved in mediating drought and salt-signaling transduction pathways. The drought- and salt-tolerant nature of NL44 was also confirmed by expression profiling.

IMPACT OF MOTHER'S HYPOTHYROIDISM ON FETAL DEVELOPMENT AND OUTCOMES: A SYSTEMATIC REVIEW

The thyroid, a gland with a butterfly-like shape in the base of the human neck, plays an important role in metabolism. Body heat, energy levels, weight, hair, fingernail, and regular menstruation cycles are controlled by three hormones produced by the thyroid. A system of feedback regulates the release of those hormones. Overproduction as well as underproduction of thyroid hormones can result from shifts in the stimulation and regulation of those hormones. These factors can have physiological or pathological origins. Pregnancy is a physiological factor. There is a plethora of physiological and psychological shifts that occur during pregnancy. A thyroid alteration in the mother is one example. Thyroid irregularities result from a failure to adjust to new circumstances. Thyroid hormone levels can drop, or manufacturing could be slowed during pregnancy due to variations in hormone concentration. Hypothyroidism describes this disorder. Hypothyroidism in women who are pregnant is either gestational or could be a disorder that is present before pregnancy. Gestational hypothyroidism cures itself throughout postpartum times, though it can stay as subclinical hyperthyroidism for some time after delivery. They pose a serious risk to development, stunt the growth of the unborn child and lead to defects in subsequent generations. Enhanced thyroid binding globulin levels, enhanced iodine clearance by the kidneys, modified effects of the human reproductive hormone and reduced dietary consumption of iodine lead to these alterations in the gland. Cretinism and mental disorders are among the serious health problems related to an iodine imbalance in maternal hypothyroidism. The growth of the brain, nervous system and Intelligence of an unborn child depends on thyroid hormones. As a result, normal early stages of development suffer due to changes in maternal hormone levels.

A LONGITUDINAL STUDY OF CHILDHOOD SEPARATION ANXIETY DISORDER AND ITS IMPLICATIONS FOR ADOLESCENT PSYCHOPATHOLOGY

A prevalent psychiatric disorder called Child Separation Anxiety Disorder (SAD) is characterized by extreme discomfort when a child gets separated from their primary carers. While SAD's quick consequences on kids are well-researched, its long-term implications for teenage psychopathology have received less attention. This longitudinal study aims to ascertain the connection between child SAD and future psychopathological consequences in adolescents. 500 adolescents were chosen as part of the adolescent depression project, and at the age of 17, we retrospectively evaluated past and present mental disorders. At ages 25 and 32, they conducted diagnostic evaluations of these people during adolescence while they continued to monitor them. Based on childhood/adolescent assessments, the participants were split into different groups: SAD (n=34), other forms of Anxiety (n=76), a control group with combined psychiatric conditions (n=205), and mentally sound control group (n=185). Statistics were evaluated by hierarchical multiple logistic regression after various illnesses and pertinent demographic variables were considered. It implies that SAD has a high risk (80.2%) of being a significant risk indicator for the emergence of mental illnesses in young adults. This study highlights the importance of early SAD management and therapy and the possible advantages of treating SAD in lowering the likelihood of developing other mental health problems in adolescence. It also emphasizes the value of continuous studies to comprehend these connections and enhance the effects on SAD sufferers' psychological well-being.

Wearable Biosensing to Predict Imminent Aggressive Behavior in Psychiatric Inpatient Youths With Autism

Importance

Aggressive behavior is a prevalent and challenging issue in individuals with autism.

Objective

To investigate whether changes in peripheral physiology recorded by a wearable biosensor and machine learning can be used to predict imminent aggressive behavior before it occurs in inpatient youths with autism.

Design, Setting, and Participants

This noninterventional prognostic study used data collected from March 2019 to March 2020 from 4 primary care psychiatric inpatient hospitals. Enrolled participants were 86 psychiatric inpatients with confirmed diagnoses of autism exhibiting operationally defined self-injurious behavior, emotion dysregulation, or aggression toward others; 16 individuals were not included (18.6%) because they would not wear the biosensor (8 individuals) or were discharged before an observation could be made (8 individuals). Data were analyzed from March 2020 through October 2023.

Main Outcomes and Measures

Research staff performed live behavioral coding of aggressive behavior while inpatient study participants wore a commercially available biosensor that recorded peripheral physiological signals (cardiovascular activity, electrodermal activity, and motion). Logistic regression, support vector machines, neural networks, and domain adaptation were used to analyze time-series features extracted from biosensor data. Area under the receiver operating characteristic curve (AUROC) values were used to evaluate the performance of population- and person-dependent models.

Results

There were 70 study participants (mean [range; SD] age, 11.9 [5-19; 3.5] years; 62 males [88.6%]; 1 Asian [1.4%], 5 Black [7.1%], 1 Native Hawaiian or Other Pacific Islander [1.4%], and 63 White [90.0%]; 5 Hispanic [7.5%] and 62 non-Hispanic [92.5%] among 67 individuals with ethnicity data). Nearly half of the population (32 individuals [45.7%]) was minimally verbal, and 30 individuals (42.8%) had an intellectual disability. Participant length of inpatient hospital stay ranged from 8 to 201 days, and the mean (SD) length was 37.28 (33.95) days. A total of 429 naturalistic observational coding sessions were recorded, totaling 497 hours, wherein 6665 aggressive behaviors were documented, including self-injury (3983 behaviors [59.8%]), emotion dysregulation (2063 behaviors [31.0%]), and aggression toward others (619 behaviors [9.3%]). Logistic regression was the best-performing overall classifier across all experiments; for example, it predicted aggressive behavior 3 minutes before onset with a mean AUROC of 0.80 (95% CI, 0.79-0.81).

Conclusions and Relevance

This study replicated and extended previous findings suggesting that machine learning analyses of preceding changes in peripheral physiology may be used to predict imminent aggressive behaviors before they occur in inpatient youths with autism. Further research will explore clinical implications and the potential for personalized interventions.

DENTAL CAVITIES IN PEOPLE WITH TYPE 2 DIABETES MELLITUS: AN ANALYSIS OF RISK INDICATORS

Diabetes is associated with a greater number of dental cavities. It is unclear, therefore, how potential risk factors such as salivary glucose, glycemic control and blood sugar could impact the onset of dental caries between people that have type 2 diabetes (T2D). Aim of the study - analyzing the risk factors for oral cavity disease in T2D patients. We analyzed the patient data including their dietary habits, dental hygiene practices, age and control of glycemic. The Indian dataset was used. Individual patient observations include the patient's diabetes classification as a range of medical attributes such as age, pregnancy, pedigree, glucose, body mass index, skin, blood pressure and insulin. The research discovered a significant correlation between poorly managed glycemic levels and dental caries are more prevalent in people with T2DM. High sugar consumption and poor oral hygiene habits have been identified as risk factors. These results highlight the need for integrating diabetes treatment measures with dental care to reduce dental caries in this susceptible group. Utilizing dental cavities into account improves oral health and has a positive impact on health outcomes for those with type 2 diabetes.

EMERGING NATIONS' LEARNING SYSTEMS AND THE COVID-19 PANDEMIC: AN ANALYSIS

National learning systems improve training and proficiency. In order to support education during the COVID-19 epidemic, the rate of online and remote learning accelerated. Since there were some available technologies, strong, flexible educational infrastructures were required to accommodate a range of student demands. Digital resources and inclusive education need government investment. This study highlights the vital role that adaptable educational frameworks play in lessening the effects of the crisis and fostering resilience in the face of uncertainty by examining the complex relationship between the COVID-19 pandemic and the creation of national education methodologies. This study offers a detailed analysis of the intricacy, challenges, and opportunities that have emerged in this significant field by investigating the ways in which the COVID-19 pandemic has affected educational institutions in developing countries. Twenty selected, peer-reviewed scientific journal articles from 2019 to 2023 were included in the research after a comprehensive search of relevant literature. Taking into consideration the viewpoints of parents, children, teachers, and administrators, this extensive and professionally handled research study provides a critical and nuanced examination of many consequences of the COVID-19 epidemic on the educational system. By using a comprehensive analysis of 25 academic articles, it achieves this. A broad number of useful tools and tactics are highlighted in this research, which offers an in-depth analysis of the intricate area of information and computational model deployment. Employing analysis of variance (ANOVA) as a robust statistical method, this analysis uncovers and scrutinizes the complex dynamics at play with the educational systems of developing nations amidst the unprecedented challenges brought by the global COVID-19 crisis. The COVID-19 epidemic has spurred rising countries to rethink and improve their education institutions, accelerating technology-driven education. The epidemic has underlined the need for inclusive and resilient learning infrastructures that respond to emergencies despite the digital device and access inequities.

RELEVANCE FOR DIAGNOSIS, THERAPY, AND STRATEGIES OF GUT MICROBES DYSBIOSIS IN CHRONIC KIDNEY DISEASE: A SYSTEMATIC REVIEW

Dysbiosis and weakened gastrointestinal barrier function have been identified as potential regulators of Chronic Kidney Disease (CKD). The complex connection among gut micro biota and CKD is provided in this study, with particular attention to how inflammation contributes to the CKD path physiology. It establishes the inverse association between CKD and gut microbial dysbiosis by exploring the collision of CKD about the organization and capabilities of the gut micro biota. The possibility of new diagnostic tools in measuring the dynamic changes within the gut microbial ecology illustrates the importance of accurately diagnosing gut micro biota abnormalities in CKD. Additionally, the study explores the targeted medicines that focus on gut micro biota in CKD. Using data from both human clinical trials and rat models, the study demonstrates the variety of therapeutic approaches and their ability to limit the rate of development of CKD and its accompanying problems. The study we performed was based on the Preferred Reporting Items for Systematic reviews and Meta Analyses (PRISMA) approach. The findings show the significance of investigating the relationship between gut micro biota and CKD, paving up the possibility for new therapeutic strategies to improve the patient outcomes and quality of life. The present understanding of CKD-induced modifications to the gut micro biota and the ensuing effects on gastrointestinal health, emphasizing studies, will be highlighted in this review.

Validation of candidate gene-based EST-SSR markers for sugar yield in sugarcane

Sugarcane (Saccharum spp.) is a widely cultivated crop that fulfils approximately 75% of the sucrose demand worldwide. Owing to its polyploidy and complex genetic nature, it is difficult to identify and map genes related to complex traits, such as sucrose content. However, association mapping is one of the alternatives for identifying genes or markers for marker-assisted selection. In the present study, EST-SSR primers were obtained from in silico studies. The functionality of each primer was tested using Blast2Go software, and 30 EST-SSR primers related to sugar content were selected. These markers were validated using association analysis. A total of 70 F1 diverse genotypes for sugar content were phenotypes with two check lines. All parameters related to sugar content were recorded. The results showed a significant variation between the genotypes for sugar yield traits such as Brix value, purity, and sucrose content, etc. Correlation studies revealed that the Brix%, sucrose content, and sucrose recovery were significantly correlated. An association analysis was performed using mixed linear model to avoid false positive associations. The association analysis revealed that the SEM 407 marker was significantly associated with Brix% and sucrose content. The SEM 407 primers are putatively related to diphosphate-fructose-6-phosphate 1-phosphotransferase which is associated with Brix% and sucrose content. This functional marker can be used for marker-assisted selection for sugar yield traits in sugarcane that could accelerate the sugarcane breeding program.

AN IN-DEPTH ASSESSMENT OF THE TUMOR'S IMPACT ON SARCOPENIA

Loss of muscle mass is a typical symptom of cancer and it is strongly correlated with poor prognosis. Cancer-related Sarcopenia is unresponsive to conventional dietary changes and exercise, in contrast to age-associated muscle atrophy. This particular type of weakness differs from different kinds of muscle loss in that it is triggered by a number of interrelated mechanisms, notably inflammatory processes, abnormal metabolic processes, proteolysis, and autophagy. This research is to examine evidence supporting the theory that tumors have a causal role in causing muscular atrophy. It seeks to investigate the precise regulators that the tumour generates and how they affect the processes that result in muscle waste. The evaluation looks for new directions for further studies and medical treatments. The analysis is based on a thorough examination of the scientific literature and research that shows how tumor and muscle atrophy are related. It concentrates on studies that clarify the numerous strategies by which malignancies cause the loss of muscle. This article highlights particular mechanisms by which these tumor-derived substances affect the development of muscle loss, including inflammatory processes, metabolic disturbance, proteolysis, and autophagy. The discovery of such targets offers hope for the creation of efficient treatment strategies that can enhance the long-term outlook and quality of life of cancer sufferers who are experiencing muscle loss.

Fungal pathogens and COVID-19

COVID-19 pandemic highlighted the complications of secondary fungal infections that occurred globally in severe cases of coronavirus disease managed in the intensive care units. Furthermore, varied underlying host factors, such as preexisting immunosuppression, the use of immunomodulatory agents, and invasive procedures predisposing lung tissues to fungal colonization and proliferation, caused increased susceptibility to fungal infections in COVID-19 patient populations. These invasive fungal infections directly impact the overall length of hospitalization and mortality. The most commonly reported fungal infections in patients with COVID-19 include aspergillosis, invasive candidiasis, and mucormycosis. An overall worldwide increase in the prevalence of candidiasis and aspergillosis was observed in COVID-19 patients , whereas outbreaks of mucormycosis were mainly recorded from India. Diagnostic challenges and limited antifungal treatment options make secondary fungal infections among COVID-19 patients more burdensome, which results in improper management and increased mortality.

Terpenoid phytocompounds from mangrove plant Xylocarpus moluccensis as possible inhibitors against SARS-CoV-2: In silico strategy

COVID-19 shook the world during the pandemic, where the climax it reached was vaccine manufacturing at an unfathomable pace. Alternative promising solutions to prevent infection from SARS-CoV-2 and its variants will remain crucial in the years to come. Due to its key role in viral replication, the major protease (Mpro) enzyme of SARS-CoV-2 can be an attractive therapeutic target. In the present work, natural terpenoids from mangrove medicinal plant Xylocarpus moluccensis (Lam.) M. Roem. were screened using computational methods for inhibition of Mpro protein. Out of sixty-seven terpenoids, Angolensic acid methyl ester, Moluccensin V, Thaixylomolin F, Godavarin J, and Xylomexicanolide A were shortlisted based on their docking scores and interaction affinities (- 13.502 to - 15.52 kcal/mol). The efficacy was validated by the 100 ns molecular dynamics study. Lead terpenoids were within the acceptable range of RMSD and RMSF with a mean value of 2.5 Å and 1.5 Å, respectively indicating that they bound tightly within Mpro and there was minimal fluctuation and stability of Mpro upon binding of these terpenoids. The utmost favorable binding strengths as calculated by MM-GBSA, were of Angolensic acid methyl ester and Moluccensin V with binding free energies (ΔGbind) of - 39.084, and - 43.160 kcal/mol, respectively. The terpenoids showed no violations in terms of Drug Likeliness and ADMET predictions. Overall, the findings indicate that Angolensic acid methyl ester and Moluccensin V are effective terpenoids having strong binding interaction with Mpro protein, which must be tested in vitro as an effective anti-SARS-CoV-2 drug.

EXPLORING MEDICAL STUDENTS' COMPETENCY IN UNDERSTANDING PRIMARY IMMUNODEFICIENCY DISEASES IN INDIA

Primary Immunodeficiency Disease (PID) represents a class of diverse illnesses marked by compromised immune system performance. For better patient outcomes, PIDs must be diagnosed and treated quickly. Medical graduates are essential to the detection and treatment of these illnesses. The purpose of this study was to evaluate medical students' knowledge about PIDs in different Indian medical colleges. To perform this analytical investigation, college students from Maharashtra-area universities were enlisted between March and April of 2023. The participants received a questionnaire from mediators from every institution. Of the 500 students in the study, 66% were between the ages of 22 and 24 and 52% were female. Their understanding ratings had an average of 16.3±6.2 and varied between 4 and 32. A set of students classified as below average (86%) and a mean/above average (14%), were separated among the students. The largest percentage of above-average knowledge was demonstrated by VI-year participants (p<0.05). This investigation emphasizes how critical it is to provide focused educational activities to improve medical students' comprehension of PIDs in India.

COVID-19 SAFETY MEASURES AND THEIR EFFECTS ON GAMBLING HABITS: AN INVESTIGATIVE STUDY

This study looked at the way COVID-19 was starting to affect gambling during first six weeks of emergency actions. The following factors were evaluated: the economic effect of COVID-19 on internet gambling, according to COVID-19, psychological issues, addiction to drugs, and risky gambling habits and intentions. Online survey with cross-sectional data of 2015 gamblers was conducted, with a subsample of 1048 people who gambled online (age 18 and older). Numerous metrics of correlation and probability ratio analyses were performed. The Issue of Gambling Intensity Index's extremely dangerous gamblers and those who have gambled online are more likely to engage in gambling online, according to the outcomes, even though there was an obvious transition toward physical gaming. The most predicted indicators for high-risk gamblers on the internet were moderate to severe depression and anxiety, reduced work weeks, convincing themselves to gamble by COVID-19, gambling under the effects of alcohol or cannabis, and dangerous gambling motivations related to psychological disorders, such as gambling to relieve anxiety and depressive disorders, chasing gambling damages, and trying to make money from gambling. This research has validated numerous risk connections associated with gambling risk, psychological issues, and substance use reported in previous studies on the worldwide recession and upcoming COVID-19-related investigations. In contrast to many other inquiries, the current research considers each component comprehensively. It offers more information on the risk factors associated with online gambling throughout the epidemic.