Evaluation of performance and genetic parameters in quality protein maize genotypes

Quality protein maize (QPM) contains opaque-2 mutant genes that increases lysine and tryptophan level which are not normally found in maize. The objective of this study was to evaluate the performance of QPM genotype based on their yield, yield attributing and other relevant characteristics. A varietal trial on QPM was conducted in the research field of Lamahi municipality-3, Dang, Nepal from February to June 2021. This experiment was performed in Randomized Complete Block Design with three replications. Thirteen genotypes of QPM and one standard check (Poshilo Makai-2) were evaluated. Each genotype was assigned an area of 3m × 3m with a net plot area of 452.5m2 per block. Analysis of variance revealed significant data for the most of the genotypes. Four genotypes Rampur-S13FQ-02 Rampur-SO3FQ-02, Rampur-S13FQ010 and Rampur-S13FQ-08 were found superior with a yield of 4.32 t/ha, 3.97 t/ha, 3.89 t/ha, 3.63 t/ha respectively in comparison to the standard check Poshilo makai-2 (2.66 t/ha). Significant and positive correlation were observed for the ear length, ear diameter, number of kernels per ear, number of kernel row per ear, ear weight whereas negative for ear aspect with grain yield was observed. Ear weight without husk had the highest contribution to grain yield. For all observed traits, the coefficient of phenotypic variation (PCV) was found to be higher than that of genotypic coefficient of variation (GCV). The highest GCV, PCV, genetic advance and heritability were observed in ear aspect, thousand grain weight, ear height, plant height respectively. As a result, breeding programs can be further improved by selecting these traits

Pregnant Women’s Mental Health Status and its Related Factors Amidst COVID-19: A Cross- Sectional Study

Introduction: Since the emergence of COVID-19 pandemic, it has challenged the psychological aspect of everyone. Pregnant women being the vulnerable group are most likely to be at increased risk. This study aimed to assess the mental health status of the pregnant women residing in Nepal during COVID-19. Methods: A cross-sectional online study was carried out among 368 pregnant women during lockdown using Perceived stress scale-10, Generalized Anxiety Disorder-7 scale and Edinburg Perinatal Depression Scale. Data were analyzed using descriptive and inferential statistics. Results: The mean age of the participants was 27.06±4.64years. Getting infected with the virus (71.7%) was the major fear and inadequate antenatal checkup (61.1%) was the major effect experienced by the participants. The prevalence of stress, anxiety and depression was 41%, 28.5% and 33.2% respectively. Age, salary status of oneself and their husband, healthcare frontliner in the family and effect of social distancing were significantly associated with perceived stress. Age, education, employment, monthly income, trimester and effect of social distancing were significantly associated with anxiety. Salary status of husband, trimester, parity, being infected with COVID-19 and effect of social distancing were associated with depression. Conclusion: High prevalence of mental health disorders during COVID-19 outbreak suggests the importance of special attention on monitoring the maternal mental health status during such public health emergencies. Measures such as awareness program targeted to pregnant women and health education programs on how to cope during the pandemic situations should be made effective to rule down the mental health burden of COVID-19

Impact of opioid-free analgesia on pain severity and patient satisfaction after discharge from surgery: multispecialty, prospective cohort study in 25 countries

Background: Balancing opioid stewardship and the need for adequate analgesia following discharge after surgery is challenging. This study aimed to compare the outcomes for patients discharged with opioid versus opioid-free analgesia after common surgical procedures.Methods: This international, multicentre, prospective cohort study collected data from patients undergoing common acute and elective general surgical, urological, gynaecological, and orthopaedic procedures. The primary outcomes were patient-reported time in severe pain measured on a numerical analogue scale from 0 to 100% and patient-reported satisfaction with pain relief during the first week following discharge. Data were collected by in-hospital chart review and patient telephone interview 1 week after discharge.Results: The study recruited 4273 patients from 144 centres in 25 countries; 1311 patients (30.7%) were prescribed opioid analgesia at discharge. Patients reported being in severe pain for 10 (i.q.r. 1-30)% of the first week after discharge and rated satisfaction with analgesia as 90 (i.q.r. 80-100) of 100. After adjustment for confounders, opioid analgesia on discharge was independently associated with increased pain severity (risk ratio 1.52, 95% c.i. 1.31 to 1.76; P < 0.001) and re-presentation to healthcare providers owing to side-effects of medication (OR 2.38, 95% c.i. 1.36 to 4.17; P = 0.004), but not with satisfaction with analgesia (beta coefficient 0.92, 95% c.i. -1.52 to 3.36; P = 0.468) compared with opioid-free analgesia. Although opioid prescribing varied greatly between high-income and low- and middle-income countries, patient-reported outcomes did not.Conclusion: Opioid analgesia prescription on surgical discharge is associated with a higher risk of re-presentation owing to side-effects of medication and increased patient-reported pain, but not with changes in patient-reported satisfaction. Opioid-free discharge analgesia should be adopted routinely

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Depressive Symptoms among People Living with HIV Attending ART Centers of Lumbini Province, Nepal: A Cross-Sectional Study

Background. Depression is a common mental disorder and is a leading cause of disability globally. Depressive symptoms among people living with HIV can be a significant barrier to ART initiation and thus lead to poor ART adherence. Global studies have found the prevalence of depressive symptoms among people living with HIV ranges from 12 to 63%. The real scenario of Nepal still needs to be explored. Thus, this study aimed to identify the prevalence and predictors of depression in individuals with HIV. Methods. An institutional-based cross-sectional study was carried out from August to December 2020 among 406 people living with HIV attending ART centers in Lumbini province. Participants were selected using a systematic random sampling technique and surveyed with a structured questionnaire consisting of sociodemographic variables, HIV AIDS-related variables, and 21 items Beck Depression Inventory tool. The odds ratio was used as the ultimate measure of association, with a 95% confidence interval computed to establish statistical significance. A multivariate regression analysis was carried out to identify the final predictors of depressive symptoms. Results. The study found that 26.8% of the respondents had depressive symptoms. Those who were literate (AOR = 0.24, 95% CI: 0.10–0.61), in the poorest wealth quintile (AOR = 7.28, 95% CI: 2.22-23.87), initiated ART within 12 months (AOR = 1.88, 95% CI: 1.03–3.42), had CD4 cell counts below 200 (AOR = 2.50, 95% CI: 1.54–4.06), and had a time difference of 3 months or less between HIV diagnosis and ART initiation (AOR = 0.50, 95% CI: 0.29–0.86) were independently associated with depressive symptoms. Conclusion. Routine screening for depressive symptoms should be integrated into national HIV prevention and control programs for people living with HIV. An enabling environment should be created to facilitate the rapid enrollment of individuals newly diagnosed with HIV in ART services, thereby reducing the time gap between HIV diagnosis and ART initiation

Predictors of Low Birth Weight at Lumbini Provincial Hospital, Nepal: A Hospital-Based Unmatched Case Control Study

Background. Low birth weight (LBW) is defined as the birth weight of live born infants below 2500 g, regardless of gestational age. It is a public health problem caused by factors that are potentially modifiable. The purpose of this study was to determine the socioeconomic, obstetric, and maternal factors associated with LBW in Lumbini Provincial Hospital, Nepal. Methods. The study was conducted using case control study design with 1 : 2 case control ratio. A total of 105 cases and 210 controls were taken in this study. Data were entered on Epi data software version 3.1 and exported to Statistical Package for Social Science (SPSS) software version 25 for analysis. Characteristics of the sample were described using mean and standard deviation. Bivariate analysis was done to assess the association between dependent and independent variables. The ultimate measure of association was odds ratio. Variables found to be associated with bivariate analysis were entered into a multivariable logistic regression model to identify predictors of LBW. Results. The mean age of the participants was 25.98 years with ±4.40 standard deviation. Mothers with literate educational background (AOR 0.32, 95% CI 0.13–0.81), housewife (AOR 2.63, 95% CI 1.11–6.20), vaginal mode of delivery (AOR 0.45, 95% CI 0.25–0.82), gestational age <37 weeks (AOR 2.51, 95% CI 1.15–5.48), history of LBW (AOR 5.12, 95% CI 1.93–13.60), and maternal weight <50 kilograms (AOR 2.23, 95% CI 1.23–4.02) were significantly associated with LBW. Conclusion. Educational and occupational status, mode of delivery, gestational age, maternal weight, and history of LBW were found to be independent predictors of LBW. There is need of developing coordination with education sector for increasing educational status of mothers and adolescent girls. Social determinants of health need to be considered while developing interventional programs. Similarly, interventional programs need to be developed considering identified predictors of low birth weight

EVALUATING THE TECHNICAL EFFICIENCY OF SMALLHOLDER VEGETABLE FARMS IN DIVERSE AGROECOLOGICAL REGIONS OF NEPAL

Enhancing the efficiency of vegetable farms is crucial to increase the vegetable outputs for meeting the demand for growing population. This study evaluated the technical efficiency and explored factors determining the efficiencies of smallholder vegetable farms in diversified agro-ecological regions using Stochastic Frontier Analysis (SFA) with cross-section data collected in 2013. The results revealed that average technical efficiency was found to be 0.77 and the variance parameters were highly significant indicating that the inefficiency existed in vegetable farms. The inefficiency gap could improve by operating the farms at the frontier level. The input variables consisting of land, labor, animal power, fertilizer, compost, pesticide, and capital were proved to be the important factors in determining the level of outputs. Meanwhile, the major sources of the inefficiencies identified were: age of farmer, training to the farmers, and infrastructure development. The efficiency in vegetable production can be improved by allocating input resources at the optimum levels, encouraging younger farmers in vegetable production, increasing training and extension activities, enhancing market access to the farmers, and developing infrastructures with regard to vegetable production

Probiotic Protects Kidneys Exposed to Microcystin-LR

Cyanobacterial Harmful Algal Blooms (CyanoHABs) occur when colonies of photosynthetic bacteria called cyanobacteria grow out of control, usually in warm, nutrient-rich, slow-moving waters. They are becoming increasingly prevalent around the world and release harmful toxins called cyanotoxins into bodies of water, which negatively affect human and ecological health. One such cyanotoxin is microcystin, with microcystin-leucine arginine (MC-LR) being the most widespread. Exposure to MC-LR inhibits serine and threonine protein phosphatase 1 and 2A in humans, causing a myriad of health problems. Fortunately, certain naturally occurring bacteria may be able to degrade MC-LR and reverse its effects. Mice were separated into five experimental groups based on three types of pre-treatments (control drinking water/vehicle, probiotic-supplemented drinking water, and heat-inactivated probiotic-supplemented drinking water) as well as two types of exposures (microcystin-LR and water/vehicle). RNA was extracted from kidneys for sequencing because MC-LR exacerbates kidney disease. Gene expression data were analyzed with 3 Pod Reports, an R package that produces a three-part report consisting of Gene Set Enrichment Analysis (GSEA), EnrichR, and integrative LINCS (iLINCS). MC-LR exposure was associated with upregulated cellular respiration and metabolism pathways and downregulated transcription pathways. Probiotic pre-treatment combined with MC-LR exposure was associated with upregulated lipoprotein particle pathways and downregulated respiration and ribosome pathways. Overall, the probiotic mixture corrected the transcriptional profile resulting from MC-LR exposure. Future high yield pathways that could be targeted for therapeutic benefit include VEGFR inhibitors and increased expression of renal kidney indicator genes such as EGFR