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Byline: Vishal. Tandon, B. Kapoor, G. Bano, S. Gupta, Z. Gillani, S. Gupta, D. Kour P-glycoprotein (P-gp) is a 170 kDa membrane-bound protein, an energy-dependent efflux transporter driven by ATP [...]

The article offers information about stevia, a perennial shrub which serves as a natural and healthy alternative to sugar and artificial sweeteners. This herbal sweetener has sweet tasting glycosides, primarily Stevioside which help reduce postprandial blood glucose levels in type 2 diabetic patients. Studies on the general and reproductive toxicity of stevia demonstrates its safety profile at high dietary intake levels. Meanwhile, it has been approved by the U.S. Food and Drug Administration (FDA) as a dietary supplement or herb.

Climate change and the COVID-19 pandemic have disrupted the food supply chain across the globe and adversely affected food security. Early estimation of staple crops can assist relevant government agencies to take timely actions for ensuring food security. Reliable crop type maps can play an essential role in monitoring crops, estimating yields, and maintaining smooth food supplies. However, these maps are not available for developing countries until crops have matured and are about to be harvested. The use of remote sensing for accurate crop-type mapping in the first few weeks of sowing remains challenging. Smallholder farming systems and diverse crop types further complicate the challenge. For this study, a ground-based survey is carried out to map fields by recording the coordinates and planted crops in respective fields. The time-series images of the mapped fields are acquired from the Sentinel-2 satellite. A deep learning-based long short-term memory network is used for the accurate mapping of crops at an early growth stage. Results show that staple crops, including rice, wheat, and sugarcane, are classified with 93.77% accuracy as early as the first four weeks of sowing. The proposed method can be applied on a large scale to effectively map crop types for smallholder farms at an early stage, allowing the authorities to plan a seamless availability of food.

Biomass is an important phenotypic trait in functional ecology and growth analysis. The typical methods for measuring biomass are destructive, and they require numerous individuals to be cultivated for repeated measurements. With the advent of image-based high-throughput plant phenotyping facilities, non-destructive biomass measuring methods have attempted to overcome this problem. Thus, the estimation of plant biomass of individual plants from their digital images is becoming more important. In this paper, we propose an approach to biomass estimation based on image derived phenotypic traits. Several image-based biomass studies state that the estimation of plant biomass is only a linear function of the projected plant area in images. However, we modeled the plant volume as a function of plant area, plant compactness, and plant age to generalize the linear biomass model. The obtained results confirm the proposed model and can explain most of the observed variance during image-derived biomass estimation. Moreover, a small difference was observed between actual and estimated digital biomass, which indicates that our proposed approach can be used to estimate digital biomass accurately.

This study has been undertaken to explore the therapeutic effects of deguelin and specific siRNAs in HeLa cells. The data provided clearly show the silencing of ERK 1/2 with siRNAs and inhibition of ERK1/2 with deguelin treatment in HeLa cells. Additionally, we are providing information that deguelin binds directly to anti-apoptotic Bcl-2, Bcl-xl and Mcl-1 in the hydrophobic grooves, thereby releasing BAD and BAX from dimerization with these proteins. This results in increased apoptotic activity through the intrinsic pathway involved in rupture of mitochondrial membrane and release of cytochrome C. Evidence for inhibition of ERK1/2 by deguelin and escape of BAD phosphorylation at serine 112 through ERK/RSK pathway has been further fortified by obtaining similar results by silencing ERK 1/2 each with specific siRNAs. Increase in BAD after treatment with deguelin or siRNAs has been interpreted to mean that deguelin acts through several alternative pathways and therefore can be used as effective therapeutic agent.

Due to an increase in the consumption of food, feed, fuel and to meet global food security needs for the rapidly growing human population, there is a necessity to breed high yielding crops that can adapt to the future climate changes, particularly in developing countries. To solve these global challenges, novel approaches are required to identify quantitative phenotypes and to explain the genetic basis of agriculturally important traits. These advances will facilitate the screening of germplasm with high performance characteristics in resource-limited environments. Recently, plant phenomics has offered and integrated a suite of new technologies, and we are on a path to improve the description of complex plant phenotypes. High-throughput phenotyping platforms have also been developed that capture phenotype data from plants in a non-destructive manner. In this review, we discuss recent developments of high-throughput plant phenotyping infrastructure including imaging techniques and corresponding principles for phenotype data analysis.

Background & Objectives: Drug-induced diseases (DIDs) are well known but least studied. Data on DIDs from India are not available. Hence, this retrospective cross-sectional study was undertaken using suspected adverse drug reaction (ADR) data collected form Pharmacovigilance Programme of India (PvPI) to evaluate profile of DIDs over two years, in a tertiary care teaching hospital from north India., Methods: The suspected ADRs in the form of DID were evaluated for drug and disease related variables and were classified in terms of causality., Results: DID rate was 38.80 per cent. Mean duration of developing DIDs was 26.05 ± 9.6 days; 25.16 per cent had more than one co-morbid condition. Geriatric population (53.99%) accounted for maximum DIDs followed by adult (37.79%) and paediatric (8.21%). Maximum events were probable (93.98%) followed by possible (6.04%). All DIDs required intervention. Gastritis (7.43%), diarrhoea (5.92%), anaemia (4.79%), hypotension (2.77%), hepatic dysfunction (2.69%), hypertension (1.51%), myalgia (1.05%), and renal dysfunction (1.01%) were some of the DIDs. Anti tubercular treatment (ATT), anti retroviral treatment (ART), ceftriaxone injection, steroids, non-steroidal anti-inflammatory drugs, antimicrobials and anticancer drugs were found as commonly offending drugs., Interpretation & Conclusions: Our findings show that DIDs are a significant health problem in our country, which need more attention.

Aim of Study: To evaluate adverse drug reaction (ADR) profile of antimicrobials over 3-year period., Material and Methods: A retrospective cross-sectional study was undertaken using suspected adverse drug data collection form available under Pharmacovigilance Programme of India (PvPI)., Results: A total of 2,586 ADR events were recorded in 3 years, out of which 392 (15.15%) were because of antimicrobials. Male: female was 1.02:1. Medicine department contributed maximally (98.97%). The intravenous (IV) route of drug administration accounted maximum ADRs (53.32%), followed by oral route (45.41%). Monotherapy was responsible for 80.87%, whereas combination therapy for 19.13%. Combinations therapy was irrational in 79.67%. The most common antibiotic resulting in ADRs was injection ceftriaxone (35.71%), followed by tab. azithromycin (7.39%), tab. ofloxacin+ornidazol (5.35%), ofloxacin (3.57%), ciprofloxacin (2.29%), amoxicillin (2.55%), tab. cefixime (2.29%), inj. linezolid (2.04%). Rash remained the most common ADR, followed by diarrhoea and gastritis. Most common organ system involved was dermatological (47.44%), followed by gastrointestinal (GI) (39.28%), central nervous system (CNS) (5.35%), cardiovascular system (CVS) (3.57%) and renal and genitourinary (1.78%). While 47.96% ADR's were latent, 26.785% were acute and 25.26% were sub-acute. Moreover, 89.79% of ADRs were moderate in nature, whereas 26.88% were severe and 3.33% mild in nature. Furthermore, 92.86% were non-serious and 7.14% serious in nature. Also, 65.06% of antimicrobial caused ADRs were type A and 34.64% were type B reactions. As per World Health Organization-The Uppsala Monitoring Centre (WHO-UMC) scale, 73.98% of ADRs were probable/likely and 26.02% as possible. However, 99.47% of ADRs required intervention., Conclusion: The current study suggest that ADRs due to antimicrobials is a significant health problem.

Aim: The aim was to evaluate the extent and factors responsible for underreporting (UR) of adverse drug reactions (ADRs) in India., Materials and Methods: A retrospective observational, cross-sectional prospective questionnaire-based analysis was undertaken to evaluate the extent and factors for UR of ADRs in pharmacovigilance., Results: At the time, this report was prepared, 90 ADR Monitoring Centers (AMC) were operational in India. Indian AMC functional rate was 56.45%. The average number of Individual Case Safety Reports reported by our center via VigiFlow per month was 48.038. In a period of the 3 years the total number of ADRs reported was 3024. The average number of reports per month was 80.08. Active surveillance versus spontaneous reporting contributed 66.13% versus 33.86% of the total ADRs (P < 0.0001). Outpatient Department (OPD) contribution was 76.05% and indoor contribution was 23.94% of total reports (P < 0.0001). Department of Medicine (33%), followed by oncology (19.27%) and chest disease (13.49%) contributed maximally. The contribution of Pharmacology ADR monitoring OPD was 16.20%. Eye, ear, nose and throat and surgery, private Medical Colleges, hospitals in periphery, sub-district and district contributed no ADRs. ADR detection rates by clinical presentation, biochemical investigation and diagnostic tools were 84.33%, 14.57%, and 1.09% respectively (P < 0.0001). Reporting by postgraduate, registrars, consultants and nurses were 72.65%, 6.58%, 16.56% and 4.19% respectively (P < 0.0001). PG students in Pharmacology contributed an average number of 5.61 ADR reports/month. The lack of knowledge and awareness about Pharmacovigilance Programme of India (PvPI), lethargy, indifference, insecurity, complacency, workload, lack of training were the common factors responsible for UR. Major academic activity, exams, thesis and synopsis submission time influenced reporting of ADRs by postgraduate students., Conclusion: UR is a matter of concern PvPI. Multiple interventions are needed to improve ADR reporting.

Background: Predication of gene regularity network (GRN) from expression data is a challenging task. There are many methods that have been developed to address this challenge ranging from supervised to unsupervised methods. Most promising methods are based on support vector machine (SVM). There is a need for comprehensive analysis on prediction accuracy of supervised method SVM using different kernels on different biological experimental conditions and network size., Results: We developed a tool (CompareSVM) based on SVM to compare different kernel methods for inference of GRN. Using CompareSVM, we investigated and evaluated different SVM kernel methods on simulated datasets of microarray of different sizes in detail. The results obtained from CompareSVM showed that accuracy of inference method depends upon the nature of experimental condition and size of the network., Conclusions: For network with nodes (<200) and average (over all sizes of networks), SVM Gaussian kernel outperform on knockout, knockdown, and multifactorial datasets compared to all the other inference methods. For network with large number of nodes (~500), choice of inference method depend upon nature of experimental condition. CompareSVM is available at http://bis.zju.edu.cn/CompareSVM/ .

Aim of Study: To evaluate the role of biochemical investigations (BI) and diagnostic tools (DT) in ADR detection., Materials and Methods: An observational prospective cross-sectional study was done using suspected ADR data collection form., Results: A total of 2381 ADR related events were recorded in two years. Total number/percentage of biochemical abnormalities (BA) related ADR detection rate was 14.57% and of DT was 1.091% in contrast to 84.33% recorded with clinical presentation. Maximum cases were inward patients (87.13%), 67.02% were recorded by active surveillance. ADR detection rate at one point & detection on follow up was 56.31% Vs 46.38%. ADR detection rate of ECG, endoscopy, X-ray were 0.57%, 0.22%, 0.22% and of CT scan, MRI, DEXA scan, USG and biopsy was 0.04% each. Maximum ADRs were severe/serious, latent and Type-A in nature. Anemia (4.6%), followed by liver dysfunction (2.8%), renal dysfunction, electrolyte imbalance, hyperglycemia (1.1% each), abnormal coagulation profile (1%), decrease platelet count (0.8%), hypoglycemia (0.7%) were the most common BAs. Anti retroviral drugs (ART), tirofiban and methotrexate accounted for anemia, ART and anti tubercular drugs for liver & renal dysfunction, insulin for hypoglycemia, tirofiban, paclitaxel, capecipabine and ifosfamide for thrombocytopenia, hematuria by enoxaparin & dyslipidemia with ART were common ADRs., Conclusion: BI and DT can play very important role in ADR detection.

Non-steroidal anti-inflammatory drugs (NSAIDs) are known to cause gastrointestinal (GI) bleed. Co-administration of proton pump inhibitors (PPIs) has been widely suggested as one of the strategies to prevent these GI complications among NSAIDs users. Herein, we present a case of severe GI bleeding in a patient taking fixed dose combination (FDC) of rabeprazole (20 mg) and diclofenac sodium (100 SR).

Aim and Objective: To evaluate prevalence of Vitamin D deficiency and establish any correlation between diabetes and vitamin D deficiency among postmenopausal women., Materials and Methods: The 25-hydroxy vitamin D [25 (OH) D] concentrations were measured by competitive in-vitro quantitative immunoassay. The subjects were classified as vitamin D-deficient, insufficient or sufficient on the basis of 25 (OH) D concentrations of < 20 ng/mL, 20-30 ng/mL or > 30 ng/mL respectively. The apparently normal postmenopausal women (PMW) were subjected to fasting blood sugar levels to analyse any correlation between vitamin D deficiency and diabetes., Results: Vitamin D deficiency was observed in 53.35% of the population, 19.48% had insufficiency and 26.83% had adequate Vitamin D levels. In 12.14% of the study population fasting blood glucose was > 110 mg/dl and rest of the subjects were between the normal range which is 70-110mg/dl. Correlation between raised blood sugar levels and Vitamin D deficiency among PMW was non-significant (P = 0.324)., Conclusion: High prevalence of vitamin D deficiency exists among apparently healthy Indian PMW. However, the current study failed to show any statistical correlation between vitamin D deficiency and existence of diabetes, which may be due to small sample size.

Cilnidipine is a 4(th) generation dihydropyridine calcium channel blocker approved recently for the treatment of essential hypertension. It is not known to present with ankle edema like amlodipine. Moreover, it has been proposed as an alternative anti-hypertensive for patients with amlodipine-induced edema. We report a case of cilnidipine induced ankle edema.

Aim: The aim of the following study is to evaluate adherence and compliance of postmenopausal osteoporotic patients for different regimens of bisphosphonates (BP)., Materials and Methods: A prospective observational randomized comparative 1 year study was undertaken to evaluate the adherence/compliance rates of most commonly prescribed daily alendronate (ALN), weekly risedronate (RIS) and monthly ibandronate (IBN) BP regimens., Results: Nearly 40% was the 1 year adherence rate with BP and 41.33% of non-compliance. Whereas, 8.66% was interrupted compliance rate and 6% switched over to other anti-osteoporotic treatment. The three treatment arm did not vary significantly. However, numerically maximum adherence rate of 56% was recorded in monthly BP regimen followed by weekly (36%) and daily regimen (32%). Medication possession rate confirmed on a follow-up visit was maximum with monthly regimen as 84.61% followed by daily (62.5%) and weekly (61.11%) respectively. Average time in days for non-adherence was 48, 56 and 92 day with daily ALN, weekly RIS and monthly IBN regimen respectively. Age, mean age at menopause, demographical profile failed to influence the adherence. Concomitant treatment for co-morbid condition (57.14%), unawareness about osteoporosis (OP) (50%), cost of treatment (45.33%), belief that drugs is for their general disability (39.28%), physician's failure to stress the need and necessary calcium + vitamin D daily requirement (23.80%) each were the most prevalent factors responsible for non-adherence. Intolerance and adverse drug reactions were responsible for only 13.09% and 11.90% of non-adherence., Conclusion: Treatment compliance is poor with daily ALN, weekly RIS and monthly IBN regimen along with calcium and vitamin D3 in Indian paramedical workers suffering OP.