Drought stress in Lens culinaris: effects, tolerance mechanism, and its smart reprogramming by using modern biotechnological approaches.

Among legumes, lentil serves as an imperative source of dietary proteins and are considered an important pillar of global food and nutritional security. The crop is majorly cultivated in arid and semi-arid regions and exposed to different abiotic stresses. Drought stress is a polygenic stress that poses a major threat to the crop productivity of lentils. It negatively influenced the seed emergence, water relations traits, photosynthetic machinery, metabolites, seed development, quality, and yield in lentil. Plants develop several complex physiological and molecular protective mechanisms for tolerance against drought stress. These complicated networks are enabled to enhance the cellular potential to survive under extreme water-scarce conditions. As a result, proper drought stress-mitigating novel and modern approaches are required to improve lentil productivity. The currently existing biotechnological techniques such as transcriptomics, genomics, proteomics, metabolomics, CRISPR/Cas9 (clustered regularly interspaced short palindromic repeats/cas9), and detection of QTLs (quantitative trait loci), proteins, and genes responsible for drought tolerance have gained appreciation among plant breeders for developing climate-resilient lentil varieties. In this review, we critically elaborate the impact of drought on lentil, mechanisms employed by plants to tolerate drought, and the contribution of omics approaches in lentils for dealing with drought, providing deep insights to enhance lentil productivity and improve resistance against abiotic stresses. We hope this updated review will directly help the lentil breeders to develop resistance against drought stress.

Despite treatment, HbA1c ≥ 37 mmol/mol in the first trimester is associated with premature delivery among South Asian women with gestational diabetes mellitus: a retrospective cohort study.

PURPOSE: To examine the effects of first-trimester HbA1c (HbA1c-FT) ≥ 37 mmol/mol on preterm birth (PTB) and large-for-gestational-age (LGA) babies in a retrospective cohort of South Asian pregnant women with gestational diabetes (GDM). METHODS: The cohort (n = 686) was separated into two groups based on HbA1c-FT values: Group A (n = 97) and Group B (n = 589), with values of 37-46 mmol/mol (5.5-6.4%) and < 37 mmol/mol (5.5%), respectively. HbA1c-FT's independent influence on PTB and LGA babies was examined using multivariable logistic regression in groups A and B women. The reference group (Group C) included 2031 non-GDM women with HbA1c-FT < 37 mmol/mol (< 5.5%). The effects of HbA1c-FT on PTB and LGA babies in obese women in Groups A, B, and C (designated as A-ob, B-ob, and C-ob, respectively) were re-analyzed using multivariable logistic regression. RESULTS: Group A GDM women with greater HbA1c-FT had a higher risk for PTB (aOR:1.86, 95% CI:1.10-3.14) but not LGA babies (aOR:1.13, 95%: 0.70-1.83). The risk of PTB was higher for obese women in Group A-ob: aOR 3.28 [95% CI 1.68-6.39]. However, GDM women with normal HbA1c-FT exhibited no elevated risk for PTB: Groups B and B-ob had aORs of 1.30 (95% CI 0.86-1.98) and 1.28 (95% CI 0.88-1.85) respectively. CONCLUSIONS: South Asian GDM women with prediabetic HbA1c FT; 37-46 mmol/mol (5.5-6.4%) are more likely to deliver preterm babies despite treatment, while the risk for LGA babies was the same as non-GDM women.

Emerging role of osmoprotectant glycine betaine to mitigate heavy metals toxicity in plants: a systematic review.

Heavy metals (HMs) toxicity has become one of the major global issues and poses a serious threat to the environment in recent years. HM pollution in agricultural soil is caused by metal mining, smelting, volcanic activity, industrial discharges, and excessive use of phosphate fertilizers. HMs above a threshold level adversely affect the cellular metabolism of plants by producing reactive oxygen species (ROS), which attack cellular proteins. There are different mechanisms (physiological and morphological) adopted by plants to survive in the era of abiotic stress. Various osmoprotectants or compatible solutes, including amino acids, sugar, and betaines, enable the plants to counteract the HM stress. Glycine betaine (GB) is an effective osmolyte against HM stress among compatible solutes. GB has been shown to improve plant growth, photosynthesis, uptake of nutrients, and minimize oxidative stress in plants under HM stress. Additionally, GB increases the activity of antioxidant enzymes such as CAT (catalase), SOD (superoxide dismutase), and POD (peroxidase), which are effective in scavenging unwarranted ROS. Since not all species of plants can naturally produce or accumulate GB in response to stress, various approaches have been explored for introducing them. Plant hormones like salicylic acid, ABA (abscisic acid), and JA (jasmonic acid) co-ordinately stimulate the accumulation of GB inside the cell under HM stress. Apart from the exogenous application, the introduction of GB pathway genes in GB deficient species via genetic engineering also seems to be efficient in mediating HM stress. This review complied the beneficial effects of GB in mitigating HM stress and its role as a plant growth regulator. Additionally, the review explores the potential for engineering GB biosynthesis in plants as a strategy to bolster their resilience to HMs.

Stress-mitigating behavior of glycine betaine to enhance growth performance by suppressing the oxidative stress in Pb-stressed barley genotypes.

The toxicity of lead (Pb) in agricultural soil is constantly increasing as a result of anthropogenic activities. Pb is one of the most phytotoxic metals in soil that accumulates in plant tissue, resulting in yield loss. It is currently becoming more popular to supplement glycine betaine (GB) for Pb-induced stress tolerance in crop plants. Currently, no report describes the use of GB as a stress mitigator for growth attributes and stress-specific biomarkers in barley plants under Pb stress conditions. Hence, the present research was designed to examine the stress-mitigating behavior of GB on various growth attributes including germination percentage, seed vigor index (SVI), radicle length, plant biomass (fresh and dry), shoot and root length, physiological attributes such as relative water content (RWC), and stress-specific biomarkers like electrolyte leakage (EL), and H2O2 content of two barley varieties viz. BH959 and BH946 at three Pb stress treatments (15 mM, 25 mM, and 35 mM), with and without GB (2 mM) supplementation in natural conditions. The present investigation showed that at the highest Pb stress (35 mM), the germination rate was reduced to zero, and the growth attributes and RWC of both barley varieties were also reduced as compared to the non-stressed plants (control) with an increase in Pb treatment. However, EL up to 70% and H2O2 content up to 30% increased with an increase in Pb stress concentration indicated by ROS accumulation, resulting in more oxidative stress. Additionally, GB application alleviated the toxic effect of Pb stress by improving the rate of germination by 33.3% and growth performance by reducing the ROS accumulation in terms of reducing stress biomarkers H2O2 by 25%, and EL by 12%. It has been revealed that the application of GB can minimize or reduce the toxic effects caused by Pb toxicity in both varieties, positively modulating plant growth performances and lowering oxidative stress. This research may provide a scientific basis for assessing Pb tolerance in barley plants and developing alternative approaches to protecting them from the severe effects of Pb toxicity.

Nitric oxide: An emerging warrior of plant physiology under abiotic stress.

The natural environment of plants comprises a complex set of various abiotic stresses and their capability to react and survive under this anticipated changing climate is highly flexible and involves a series of balanced interactions between signaling molecules where nitric oxide becomes a crucial component. In this article, we focussed on the role of nitric oxide (NO) in various signal transduction pathways of plants and its positive impact on maintaining cellular homeostasis under various abiotic stresses. Besides this, the recent data on interactions of NO with various phytohormones to control physiological and biochemical processes to attain abiotic stress tolerance have also been considered. These crosstalks modulate the plant's defense mechanism and help in alleviating the negative impact of stress. While focusing on the diverse functions of NO, an effort has been made to explore the functions of NO-mediated post-translational modifications, such as the N-end rule pathway, tyrosine nitration, and S-nitrosylation which revealed the exact mechanism and characterization of proteins that modify various metabolic processes in stressed conditions. Considering all of these factors, the present review emphasizes the role of NO and its interlinking with various phytohormones in maintaining developmental processes in plants, specifically under unfavorable environments.

Current trends in the development of electrochemical biosensor for detecting analytes from sweat.

The need for wearable bioelectronics continues to grow, and this technology might significantly alter the medical field. In order to diagnose and treat a patient, conventional medicine takes a "reactive" approach and waits for symptoms to appear first. Therefore, it is preferable to progress toward continuous non-invasive wearable biomonitoring, a preventative strategy that may assist individuals in diagnosing or treating illnesses at the earliest stages, sometimes before any outward symptoms have appeared. Wearable physiological sensors, such as the Apple Watch and FitBit, have arrived on the market as a result of technology advances and have quickly become commonplace. However, few devices currently exist that can report directly on these biomarkers of relevance. This is mostly due to the challenges involved in real-time fluid sampling and generating correct readouts utilising extremely selective and sensitive sensors. Sweat is an excretory fluid that is only allowed to be used in order to reduce invasiveness, but this restriction places additional strain on sensors owing to the diluted concentration of the relevant biomarkers and the changes in pH, salinity, and other biophysical parameters that directly influence the read-out of real-time biosensors. Sweat is favoured amid slightly invasive biofluids due to its low concentration of interfering chemicals and the fact that it may be collected without touching the mucosal layers. This review offers a concise outline of the latest advances in sweat-based wearable sensors, their promise in healthcare monitoring, and the problems faced in analysis based on sweat.

Establishing Trimester-Specific Haemoglobin A1c Reference Intervals in Pregnant Women: A retrospective study of healthy South Asian women with normal pregnancy outcomes.

Objectives: This study aimed to define trimester-specific haemoglobin A1c (HbA1c) reference intervals in healthy, pregnant South Asian women. Methods: This retrospective study was conducted at St. Stephen's Hospital, Delhi, India, between January 2011 and December 2016. Healthy pregnant women were compared to a control group of healthy non-pregnant women. Pregnant participants had term deliveries of babies with appropriate gestational weights. The HbA1c levels were calculated in terms of non-parametric 2.5 and 97.5 percentiles for women in first (T1), second (T2) and third (T3) trimester groups. Statistical tests were used to obtain the normal HbA1c reference values and were considered significant when P <0.05. Results: This study included a total of 1,357 healthy pregnant women and a control group of 67 healthy, non-pregnant women. Pregnant women had a median HbA1c of 4.8% (4-5.5%) or 32 mmol/mol (20-39 mmol/mol); non-pregnant women had a median HbA1c of 5.1% (4-5.7%) or 29 mmol/mol (20-37 mmol/mol; P <0.001). The HbA1c levels for the T1, T2 and T3 groups were 4.9% (4.1-5.5%) or 30 mmol/mol (21-37 mmol/mol), 4.8% (4.5-5.3%) or 29 mmol/mol (20-34 mmol/mol) and 4.8% (3.9-5.6%) or 29 mmol/mol (19-38 mmol/mol), respectively. The HbA1c values were significant when comparing T1 versus T2 (P <0.001), T1 versus T3 (P = 0.002) and T1 versus the non-pregnant group (P = 0.001). However, T2 versus T3 was not significant (P = 0.111). Conclusion: Compared to non-pregnant women, HbA1c levels were lower in pregnant women, despite women in the T2 and T3 groups having a higher body mass index than the women in the T1 and non-pregnant groups. Further research is recommended to understand the factors responsible and validate these findings.

Gestational diabetes mellitus in early pregnancy amongst Asian Indian women: Evidence for poor pregnancy outcomes despite treatment.

AIM: To compare the pregnancy outcomes in women with gestational diabetes (GDM) based on the timing of diagnosis. METHODS: This retrospective cohort study was conducted between January 2011 and September 2017 amongst 2638 Asian Indian pregnant women. The inclusion criteria included; singleton pregnancies having HbA1c <48 mmols/mol (6.5%) in the first trimester, GDM screening by 75 g OGTT using IADPSG criteria and delivery at our centre. The cohort was divided into 3 groups: Early GDM (E-GDM)-diagnosis <24 gestational weeks (Gw), Standard GDM (S-GDM)-diagnosis ≥24Gw, Non-GDM- No GDM ≥24 Gw. Multivariable logistic regression models compared the pregnancy outcomes between Non-GDM, S-GDM and E-GDM groups. A sub-group multivariable analysis was done amongst GDM women using gestational age at diagnosis both as a categorical and continuous variable. RESULTS: Compared to Non-GDM women, the odds were higher for premature birth, large for gestational age (LGA) babies, macrosomia, Neonatal ICU(NICU) admission and lower for normal vaginal delivery in the E-GDM group, but for the S-GDM group, the risk was higher for premature birth, LGA babies, NICU admission and induction of labour. Compared to GDM women in the 24-28 Gw category significantly higher odds for premature birth and LGA babies were observed in the <14 Gw category. A continuous increase of 19% odds for premature birth with every 4 weeks decrease in gestational age at GDM diagnosis was observed. CONCLUSIONS: Asian Indian women having a GDM diagnosis before 24Gw are at higher risk for adverse pregnancy events than those having diagnosis ≥24Gw or not having GDM.

Silicon Supplementation Alleviates the Salinity Stress in Wheat Plants by Enhancing the Plant Water Status, Photosynthetic Pigments, Proline Content and Antioxidant Enzyme Activities.

Silicon (Si) is the most abundant element on earth after oxygen and is very important for plant growth under stress conditions. In the present study, we inspected the role of Si in the mitigation of the negative effect of salt stress at three concentrations (40 mM, 80 mM, and 120 mM NaCl) in two wheat varieties (KRL-210 and WH-1105) with or without Si (0 mM and 2 mM) treatment. Our results showed that photosynthetic pigments, chlorophyll stability index, relative water content, protein content, and carbohydrate content were reduced at all three salt stress concentrations in both wheat varieties. Moreover, lipid peroxidation, proline content, phenol content, and electrolyte leakage significantly increased under salinity stress. The antioxidant enzyme activities, like catalase and peroxidase, were significantly enhanced under salinity in both leaves and roots; however, SOD activity was drastically decreased under salt stress in both leaves and roots. These negative effects of salinity were more pronounced in WH-1105, as KRL-210 is a salt-tolerant wheat variety. On the other hand, supplementation of Si improved the photosynthetic pigments, relative water, protein, and carbohydrate contents in both varieties. In addition, proline content, MDA content, and electrolyte leakage were shown to decline following Si application under salt stress. It was found that applying Si enhanced the antioxidant enzyme activities under stress conditions. Si showed better results in WH-1105 than in KRL-210. Furthermore, Si was found to be more effective at a salt concentration of 120 mM compared to low salt concentrations (40 mM, 80 mM), indicating that it significantly improved plant growth under stressed conditions. Our experimental findings will open a new area of research in Si application for the identification and implication of novel genes involved in enhancing salinity tolerance.

Graphene and Its Derivatives: Synthesis and Application in the Electrochemical Detection of Analytes in Sweat.

Wearable sensors and invasive devices have been studied extensively in recent years as the demand for real-time human healthcare applications and seamless human-machine interaction has risen exponentially. An explosion in sensor research throughout the globe has been ignited by the unique features such as thermal, electrical, and mechanical properties of graphene. This includes wearable sensors and implants, which can detect a wide range of data, including body temperature, pulse oxygenation, blood pressure, glucose, and the other analytes present in sweat. Graphene-based sensors for real-time human health monitoring are also being developed. This review is a comprehensive discussion about the properties of graphene, routes to its synthesis, derivatives of graphene, etc. Moreover, the basic features of a biosensor along with the chemistry of sweat are also discussed in detail. The review mainly focusses on the graphene and its derivative-based wearable sensors for the detection of analytes in sweat. Graphene-based sensors for health monitoring will be examined and explained in this study as an overview of the most current innovations in sensor designs, sensing processes, technological advancements, sensor system components, and potential hurdles. The future holds great opportunities for the development of efficient and advanced graphene-based sensors for the detection of analytes in sweat.

Is HbA1c in the first trimester associated with adverse outcomes among pregnant Asian Indian women without gestational diabetes?

AIMS: The aim of this study is to determine the association of elevated HbA1c in the first trimester (HbA1c-FT) with adverse events among pregnant Asian Indian women without gestational diabetes (GDM). METHODS: This retrospective cohort study included 1618 pregnant women who delivered at a single urban tertiary care center and had HbA1c-FT estimation between January 2011 and September 2017. Those with GDM according to a 75-g OGTT after 24 gestational weeks were excluded. Multivariable logistic regression models assessed the association between elevated HbA1c-FT and adverse events. RESULTS: At a cutoff of ≥37 mmol/mol (5.5%), HbA1c-FT was associated with preterm birth at <37 gestational weeks (adjusted odds ratio (OR) 2.10, 95% CI 1.11-3.98). There was a continuum of risk for primary caesarean delivery with higher HbA1c-FT levels (adjusted OR per 5-mmol/mol (0.5%) increase in HbA1c-FT for primary caesarean delivery: 1.27, 95% CI 1.06-1.52). In the crude analysis, gestational hypertension was associated with HbA1c-FT, but not after adjustment for confounding factors. HbA1c-FT was not associated with other adverse events (macrosomia, large for gestational age babies, or other neonatal complications). CONCLUSIONS: Even without GDM, the results suggest an association of HbA1c-FT with preterm birth and primary caesarian delivery among Asian Indian women.

Anxiety among the General Population of Himalayan District during the COVID-19 Pandemic: A Descriptive Cross-sectional Study.

INTRODUCTION: COVID-19 pandemic and subsequent measures taken by the government to control the situation have imposed adverse impacts on the mental health and wellbeing of the general population. We conducted a study to determine the prevalence of anxiety among general population of a Himalayan district during the COVID-19 pandemic. METHODS: A descriptive cross-sectional study was conducted in rural communities of the Himalayan district during the early stage of the pandemic using the Hospital Anxiety and Depression Scale. Data was collected for a period of one month from 13th April 2020 to 13th May 2020. Ethical approval was sought from the Institutional Review Committee of Karnali Academy of Health Sciences (Reference number: 2076/2077/07). All the participants of age 18 or above were included in the study excluding those with known mental illness. Convenience sampling method was used. A total of 427 participants were included in the study. Data were analyzed using the Statistical Package for the Social Sciences version 20. Point estimate at 95% confidence interval was calculated along with frequency and proportion for binary data. RESULTS: The prevalence rate of anxiety was 196 (45.9%) (41.15-50.64 at 95% Confidence Interval). Anxiety was more prevalent among farmers, illiterate, widowed, and old aged. CONCLUSIONS: The study indicates a higher prevalence of anxiety amidst the COVID-19 pandemic compared to reported studies and highlights the need for a strategic intervention to promote awareness and wellbeing at mental health level.

Nano to rescue: repository of nanocarriers for targeted drug delivery to curb breast cancer.

Breast cancer is a heterogeneous disease with different intrinsic subtypes. The conventional treatment of surgical resection, chemotherapy, immunotherapy and radiotherapy has not shown significant improvement in the survival rate of breast cancer patients. The therapeutics used cause bystander toxicities deteriorating healthy tissues. The breakthroughs of nanotechnology have been a promising feat in selective targeting of tumor site thus increasing the therapeutic gain. By the application of nanoenabled carriers, nanomedicines ensure targeted delivery, stability, enhanced cellular uptake, biocompatibility and higher apoptotic efficacy. The present review focuses on breakthrough of nanoscale intervention in targeted drug delivery as novel class of therapeutics. Nanoenabled carriers like polymeric and metallic nanoparticles, dendrimers, quantum dots, liposomes, solid lipid nanoparticles, carbon nanotubes, drug-antibody conjugates and exosomes revolutionized the targeted therapeutic delivery approach. These nanoassemblies have shown additional effect of improving the solubility of drugs such as paclitaxel, reducing the dose and toxicity. The present review provides an insight on the different drug conjugates employed/investigated to curb breast cancer using nanocarrier mediated targeted drug delivery. However, identification of appropriate biomarkers to target, clearer insight of the biological processes, batch uniformity, reproducibility, nanomaterial toxicity and stabilities are the hurdles faced by nanodrugs. The potential of nano-therapeutics delivery necessitates the agglomerated efforts of research community to bridge the route of nanodrugs for scale-up, commercialization and clinical applications.

Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope.

The electrochemical biosensors are a class of biosensors which convert biological information such as analyte concentration that is a biological recognition element (biochemical receptor) into current or voltage. Electrochemical biosensors depict propitious diagnostic technology which can detect biomarkers in body fluids such as sweat, blood, feces, or urine. Combinations of suitable immobilization techniques with effective transducers give rise to an efficient biosensor. They have been employed in the food industry, medical sciences, defense, studying plant biology, etc. While sensing complex structures and entities, a large data is obtained, and it becomes difficult to manually interpret all the data. Machine learning helps in interpreting large sensing data. In the case of biosensors, the presence of impurity affects the performance of the sensor and machine learning helps in removing signals obtained from the contaminants to obtain a high sensitivity. In this review, we discuss different types of biosensors along with their applications and the benefits of machine learning. This is followed by a discussion on the challenges, missing gaps in the knowledge, and solutions in the field of electrochemical biosensors. This review aims to serve as a valuable resource for scientists and engineers entering the interdisciplinary field of electrochemical biosensors. Furthermore, this review provides insight into the type of electrochemical biosensors, their applications, the importance of machine learning (ML) in biosensing, and challenges and future outlook.

Prevalence of 'Hyperglycemia in pregnancy' remained stable between 2006 and 2015, despite rise in conventional risk factors: A hospital based study in Delhi, North India.

AIMS: Between 2006 and 2015, the trends in prevalence of Hyperglycemia in pregnancy (HIP); Gestational diabetes (GDM), Diabetes in Pregnancy (DIP), Pre existing diabetes (PDM) and GDM risk factors were studied in 30,692 pregnancies among Asian Indian women. METHODS: GDM (n = 4089) and DIP (n = 259) diagnoses were by 75 g OGTT, while PDM (n = 103) was identified by ICD code O24. Women with DIP and PDM were grouped together as pre-gestational diabetes (PGDM n = 362). Crude and age-adjusted prevalence trend analysis by Poisson and Jointpoint regression models respectively, were done in GDM and PGDM groups. RESULTS: During study years, the GDM prevalence by WHO 1999 and modified IADPSG criteria, showed decreasing and static trends respectively, while PGDM prevalence remained static. In a subgroup of 2560 women, mean BMI increased from 24.12 ± 4.16 in year 2011 to 25.18 ± 4.7 Kg/m2 in 2015 (p < 0.014), but this rise had no impact on GDM prevalence. GDM risk factors; maternal age, gravidity ≥3, previous GDM and abortion, high income, diabetes and hypertension in family, were higher in 2011-2015 than in 2006-2010 period. On multivariate analysis, BMI was not an independent GDM risk factor. CONCLUSION: Despite rise in conventional GDM risk factors, HIP prevalence was static for a decade among pregnant Asian Indian women.

A randomised controlled trial to study Bispectral guided induction of general anaesthesia using propofol and etomidate infusion.

BACKGROUND AND AIMS: The present prospective, randomised study was done to evaluate induction characteristics with bispectral (BIS) index guided infusion of propofol and etomidate. MATERIALS AND METHODS: After institutional ethical committee approval, 70 patients, aged 18-60 years, American Society of Anaesthesiologists (ASA) I and II scheduled for elective surgery were included. Patients were randomly allocated into one of the two groups. In Group E, patients received etomidate infusion at a rate of 0.07 mg kg-1 min-1 and in Group P, received propofol infusion of 0.7 mg kg-1 min-1. Time from start of infusion to loss of palpebral reflex (TP), loss of verbal command (TV), BIS to reach 50 (TBIS50), mean induction dose and incremental dose of each drug required to keep BIS50., haemodynamic parameters and adverse effects like pain, myoclonus, apnoea and postoperative nausea and vomiting (PONV) were also noted. RESULTS: TP,TV, and TBIS 50 was faster in E as compared to P group and was statistically significant for all parameters. Mean induction dose of drug required till BIS 50 was 2.68 ± 0.56 mg kg-1 and 0.242 ± 0.11 mg kg-1 in group P and E, respectively. There was a significant difference between the groups with group E requiring incremental dose in a significant proportion of patients (P = 0.004). There was a significant decrease in MAP in P group as compared to E. In group P, more number of patients experienced pain and had apnoea episode as compared to group E. (P < 0.001). Myoclonus was observed in group E only (P = 0.016). CONCLUSION: BIS-guided titration of propofol and etomidate infusion for induction did not result in reduction of the dose, haemodynamic variations and other effects.

Assessment of heavy metals in faecal pellets of blue rock pigeon from rural and industrial environment in India.

The study was conducted to monitor concentration of six toxic metals in faecal pellets of blue rock pigeon from six industrial areas of Jaipur, i.e. Jhotwara, Malviya, Mansarover, Sitapura, Vishwakarma industrial areas and Sanganer industries, by using atomic absorption spectrophotometer. At the same time, trace metals were also analysed for a reference area so that a comparative impact of the metal pollution from the industries could be figured out. From the data obtained, the highest Cd, Cu, Ni, Pb and Zn concentrations were found in the faecal pellets from Sitapura industrial area (1.12 ± 0.60 µg/g; 128.9 ± 11.10 µg/g; 17 ± 2.87 µg/g; 79.6 ± 42.69 µg/g; 2250 ± 1390.16 µg/g) and the highest Cr (18.6 ± 3.65 µg/g) from Jhotwara industrial area. However, industrial environment has high deposition of studied trace metals (except Ni for Sanganer industries) as compared with reference area. The concentration of Cd was below the detectable level in faecal pellets from reference area. The trend of trace metals from Malviya, Sitapura, Jhotwara and reference areas was noticed as Zn > Cu > Pb > Cr > Ni > Cd and almost same for Sanganer industries and Mansarover industrial area as Zn > Cu > Cr > Pb > Ni > Cd. The excretion of heavy metals in fa1ecal pellets from Vishwakarma industrial area was noticed as Zn > Cr > Cu > Pb > Ni > Cd. Further levels of metals were varied significantly among different industrial areas, P ≤ 0.05, as well as between industrial areas and reference area. The observed high concentration of different heavy metals in faecal pellets of bird species shows their exposure to metal contamination which is warning to spiked environmental pollution.

Glycated haemoglobin in the first trimester: A predictor of gestational diabetes mellitus in pregnant Asian Indian women.

AIM: To assess the efficacy of first trimester glycated hemoglobin (HbA1c-FT) in diagnosing or predicting gestational diabetes mellitus (GDM) in Asian Indian women. METHODS: This retrospective cohort study involved 2275 women who underwent both HbA1c-FT estimation and GDM screening with a one-step 75 g oral glucose tolerance test. Receiver Operating Characteristic (ROC) curve statistics were applied to assess the discriminative ability of HbA1c-FT in GDM diagnosis. A multivariable logistic regression analysis after adjusting for plausible confounders was used to evaluate the independent effect of HbA1c-FT on GDM diagnosis. RESULTS: The mean HbA1c-FT of GDM (n = 578) and non-GDM women (n = 1697) were 5.04 + 0.04% and 4.9 + 0.37%, respectively (p < 0.001). Compared to women with a HbA1c-FT < 5.2%, the adjusted odds ratio to develop GDM of women with an HbA1c-FT range of 5.2-5.5% and those >5.6% to develop GDM were 1.627 (p < 0.004) and 2.6 (p < 0.001), respectively. The area under the ROC curve to detect GDM was 0.606 (95% CI: 0.519-0.633 p < 0.001), but the sensitivity and specificity of the HbA1c-FT were not sufficient to diagnose, rule in or rule out GDM. CONCLUSIONS: HbA1c-FT is an independent GDM predictor in Asian Indian women but lacks sufficient sensitivity or specificity for use as a diagnostic test.

Prevalence of glue-sniffing among street children.

Aim: The aim was to determine the prevalence of glue-sniffing among street children. Design: A descriptive cross-sectional study design was adopted. Background: Children are the source of hope and could be the major ailments for the development of society, nation and the world but there are large numbers of children on the street sniff glue and struggling with multiple disease and uncertain future. Methods: A study was conducted in 52 street children to determine the prevalence of glue-sniffers and its impact on street children in Butwal, municipality of Nepal. This study was conducted in 52 street children, 5- point Likert scale and interview schedule was performed with the help of structured and semi-structured questionnaire to collect data. Finally, the collected data are analysed by using descriptive statistical methods such as frequency, percentage and mean. Results: The study findings revealed that a large number of children, that is 40.38% was between the age group of 9-12 years and 92.31% were male. The current prevalence of glue-sniffing among street children is 88.46%. Similarly, 58.7% of respondents had started glue-sniffing 1 year ago. Out of 46 respondents who sniffed glue, 89.13% were unaware of its effect. Nearly, half of the respondents 45.65% had encountered health issues such as headache, chest pain and stomach ache. Conclusions: They have deprived children and denied not only of their rights as children but also of their normal childhood. Without guidance, education and security, they are heading towards an uncertain future. They can have enough potentiality and talent if they are brought into a better environment and might have real hope for the bright future.

Bimodal distribution of fasting, one and two hour post load plasma glucose in Asian Indian pregnant women without pre-gestational diabetes: Gestational age related changes.

•After exclusion of pre-gestational diabetes, Asian Indian pregnant women have bimodal distribution of plasma glucose.•Bimodality is observed for fasting, 1 and 2 h post glucose load plasma glucose distribution.•Cut off values for gestational diabetes diagnosis could not identified for any glucose parameter.•In women with high gestational diabetes risk factors, the bimodality is evident before 24 weeks of gestation.•By third trimester, the bimodality is significant for all glucose parameters.