The phenolic components extracted from mulberry fruits as bioactive compounds against cancer: A review.

In Asia, mulberry has long been used to treat various infectious and internal ailments as a traditional medication. The compounds found in it have the potential to improve human health. Because there is no approved and defined evaluation procedure, it has not been formally or scientifically recognized. As a result of these investigations, a new frontier in traditional Chinese medicine has opened up, with the possibility of modernization, for the interaction between active components of mulberry and their biological activities. These studies have used current biotechnological technologies. For ages, mulberry has been used as an herbal remedy in Asia to cure various diseases and internal disorders. It has a high concentration of bioactive chemicals that benefit human health. The most abundant phenolic components extracted from white mulberry leaves are flavonoids (Kuwanons, Moracinflavans, Moragrols, and Morkotins), phenolic acids, alkaloids, and so forth. Flavonoids, benzofurans, chalcones, and alkaloids have been discovered to have cytotoxic effects on human cancer cell lines. There is growing evidence that mulberry fruits can potentially prevent cancer and other aging-related disorders due to their high concentration of bioactive polyphenolic-rich compounds and macro and micronutrients. Anthocyanins are rapidly absorbed after eating, arriving in the plasmalemma within 15-50 min and entirely removed after 6-8 hr. Due to a lack of an approved and consistent technique for its examination, it has yet to be formally or scientifically recognized. The mulberry plant is commercially grown for silkworm rearing, and less attention is paid to its bioactive molecules, which have a lot of applications in human health. This review paper discusses the phenolic compounds of white mulberry and black mulberry in detail concerning their role in cancer prevention.

Investigation of the effect of addition of Momordica charantia to glibenclamide on amelioration of endothelial dysfunction in diabetic rats by activating Takeda G protein-coupled receptor 5.

Endothelial dysfunction (ED) is a significant risk factor of blood vessel related diseases of diabetes and this study evaluate the effect of adding Momordica charantia (Mc) to glibenclamide (GLB) on ED markers in diabetic rats. Streptozotocin (STZ-40mg/kg b. w.) induced diabetic rats were randomly put into 3 groups with 10 rats/group; diabetic control [DC] group, glibenclamide treated group (GLB -2.5mg/kg) and GLB-Mc treated group (2.5mg/kg + 400mg/kg). Serum glucose was measured weekly for eight weeks whereas insulin, sVCAM-1, vWF-Ag and interleukin-6 [IL-6] were measured at week 0 and week 8. Luciferase assay was performed to determine luminescence. At week 8, GLB and GLB-Mc groups revealed improvements in blood glucose and insulin concentrations (P≤0.05) when compared to corresponding baseline values with GLB-Mc group showing slightly greater improvements. GLB-M c group also revealed improvement (P≤0.05) in vWF-Ag, sVCAM-1 and IL-6 concentrations but was non-significant in GLB group when compared to corresponding baseline values. Comparison between GLB and GLB-Mc group showed significantly high concentration of sVCAM-1 in GLB group (P≤0.05) due to its minimal effect on TGR5 activation. We conclude that adding M. charantia to GLB may be a useful choice for modulating diabetes induced ED due to its stimulatory effect on TGR5 receptors.

Soil-applied Nickel Generates Differential Responses in Growth, Physiology and Oxidative Metabolism of Fenugreek (Trigonella foenum-graecum L.) Varieties.

This work aims to evaluate the potential of nickel (Ni), an essential micronutrient, as an oxidative stress inducer along with associated morphological and biochemical responses in different varieties of fenugreek (Trigonella foenum-graecum L.), a chief economically cultivated crop of India. Varietal differences in crop performance upon exposure to 0, 20, 40, 60 and 80 mg Ni kg- 1 soil reflects that Ni applied at 20 mg Ni kg- 1 soil offers growth-promoting effects, improved photosynthesis attributes, carbonic and nitrate reductase activities more profound in PEB followed by AFg2, AFg1 and UM185 variety. This study observed a dose-dependent reduction in all the above parameters. Maximum toxic effects were noticed at 80 mg kg- 1 Ni, manifested in the form of enhanced H2O2 and MDA contents, which were efficiently counteracted by augmentation in proline content, SOD, POX, CAT and APX activities in PEB over other varieties, suggesting that the Ni tolerance in fenugreek varieties can be organized as PEB > AFg2 > AFg1 > UM185.

Isolation of metallic salts of cytotoxic clerodanes from medicinal plant Polyalthia longifolia var. pendula.

Isolation of sodium and potassium salt of kolavenic acid (1,2), as a mixture of (3:1) and sodium and potassium salt of 16 oxo-cleroda-3,13(14) E-dien-15-oic acid (3, 4) as a mixture of (1:1) are first time reported form reddish black ripe and green unripe berries of Polyalthia longifolia var. pendula respectively. Three known constituents obtained, were identified as cleroda-3, 13(14) E-dien-15-oic acid (kolavenic acid) (5), 16(R and S)-hydroxy cleroda-3,13 (14)Z-dien-15,16-olide (6) and 16 oxo-cleroda-3,13(14) E-dien-15-oic acid (7). Structures of all these compounds have been determined through spectral studies while metal analyses were carried out to confirm the structure of the salts. Compounds 3, 4 and 7 possess cytotoxic activity against lung (NCI-H460), oral (CAL-27) and normal mouse fibroblast (NCI-3T3) cancer cell lines. Diterpenoid (7), a bioprivileged, compound shows potent cytotoxic activity against oral cancer cell line (CAL-27) with IC50 11.3±0.6µg/mL in comparison with the standard 5-flourouracil (IC50 12.7±0.1µg/mL) and lungs cancer cell lines (NCI-H460) with IC50 5.3±0.2µg/mL as compared to the standard drug cisplatin (IC50 5.7±0.2µg/mL).

A novel approach for the quantification of paclitaxel loaded in ethyl cellulose/kollicoat and ethylcellulose/eudragit colloidal particles by UPLC-PDA.

An optimized rapid reversed phase ultra-performance liquid chromatography (UPLC-PDA) method has been developed and validated for precise and accurate quantification of paclitaxel in drug delivery systems. The chromatographic separation was attained on L1 (USP) column (2.1 ×50 mm, 1.7µm) with an isocratic mobile phase comprised of acetonitrile and water (1:1; flow rate 0.6 mL/min) and detection was executed at 227 nm by PDA detector. The proposed UPLC-PDA method is found to be rapid with retention time of 1.37 min, selective with homogenous peaks and sensitive with Limit of Detection (LOD) of 0.08µg/mL and Limit of Quantification (LOQ) of 2.6µg/mL. The method showed excellent linearity (R2>0.998) over the range of 0.1 to 0.4mg/mL and applied for the paclitaxel quantification in different formulations with no inference of excipients. Thus, the proposed approach has potential for rapid estimation of drug purity, assay and release profile from pharmaceutical preparations.

A comparative study on the influence of third point of reference on condylar guidance settings in a semi-adjustable articulator with lateral cephalographs: An in-vivo study.

AIM: The study aimed to evaluate the effect on condylar guidance values with casts mounted by facebow transfer (Guichet's point as the third point of reference), Bonwill's, and radiographic method. MATERIALS AND METHODS: The dentulous subject's casts were mounted to a semi-adjustable articulator (Artex Type AR) after facebow transfer with Guichet's point as the third point of reference and also by Bonwill's method. Protrusive records made earlier were utilized to program the right and left side condylar guidance value. Two digital lateral cephalograms were made, one in centric relation, and one in protrusion and the condyles were traced and overlapped. The condylar guidance readings obtained by Bonwill's method, facebow transfer, and lateral cephalometric tracings were compared in this study using the SPSS (Version 17.0 Illinois, Chicago, USA) software. RESULTS: The condylar guidance values obtained from Bonwill's and the facebow transfer method (p < 0.001) was lesser than the radiographic method. The values obtained by casts mounted to the Bonwill's method differed significantly (p < 0.001) from the other two methods. CONCLUSION: The values obtained by facebow transfer were closer to the radiographic values whereas the values obtained by Bonwill's method mounting differed markedly.

Effect of pre-storage removal of different parts of the scape top on the biochemical changes of two garlic cultivars during controlled atmosphere storage.

BACKGROUND: This study highlights the effect of removing different plant parts on the biochemical changes in the garlic scape of cultivars G064 and G025 during controlled atmosphere storage (O2 = 2%-5%, CO2 = 3%-6%) at temperature = 0 ± 0.5 °C, Relative Humidity (RH) RH = 85%-95%, for 168 day. Total polyphenols (TP), total flavonoids (TF), the concentration of allicin, ethylene production and the antioxidant potential were evaluated and analyzed by using four different assays. Statistically significant differences were observed between different treatments. RESULTS: Total polyphenols, allicin concentration, and ethylene production were the highest in G064, while the total flavonoid concentration was the highest in G025. Removing the top resulted in the highest levels of total polyphenols, total flavonoids, allicin, and ethylene in both cultivars. The antioxidant capacity was also significantly higher when the top was removed than with other treatments in both cultivars. 2,2-Diphenyl-1-picrylhydrazyl (DPPH), hydroxyl radical scavenging activity (HRSC), ferric ion reducing antioxidant power (FRAP) and metal-chelating capacity (MCC) were higher in cultivar G064 compared to G025. CONCLUSION: Overall, the results suggest that the removing the tops of the scapes of G025 and G064 is the best treatment to maintain these biochemical changes. © 2018 Society of Chemical Industry.

Unveiling the anti-echinococcal efficacy of amide-based compounds: An in-silico and in-vitro study.

Cystic echinococcosis (CE) is a significant global public health concern, particularly in regions where livestock rearing is prevalent. Despite its impact on morbidity and mortality, CE has received insufficient attention compared to other neglected tropical diseases. The complexities in CE management arise from challenges in early detection, effective treatment, and parasite eradication. The present study addresses this gap by exploring innovative therapeutic approaches using amide-based compounds. In recent years, computational approaches and in-vitro studies have become prominent in neglected tropical disease drug discovery. Leveraging insights from previous studies on amide-based compounds with anti-parasitic potential, this study systematically designed, synthesized, and characterized a library of 30 amide compounds. The research integrated in-silico screening, molecular docking, and in-vitro experimentation to assess the anti-echinococcal potential of these compounds. The study identified five promising amide compounds, namely 3,5-dinitro-N-p-tolylbenzamide, N-p-tolyl-1-naphthamide, N-p-tolyl-4-(trifluoromethoxy)benzamide, 4-pentyl-N-p-tolylbenzamide, and 2,3,4,5,6-pentafluoro-N-p-tolylbenzamide, based on their docking scores. These compounds were synthesized and characterized through various spectroscopic techniques, confirming their structural integrity. The in-vitro cytotoxicity assay on HepG2 cell lines revealed varying degrees of cytotoxicity for the synthesized compounds. Notably, 4-pentyl-N-p-tolylbenzamide demonstrated the least cytotoxicity. Subsequent scolicidal activity assessments on E. granulosus protoscoleces demonstrated the potent protoscolicidal activity of N-p-tolyl-1-naphthamide, indicating its potential as an effective anti-echinococcal agent. Overall, this study presents a comprehensive exploration of amide-based compounds as potential therapeutic agents against CE. The findings contribute to the development of innovative strategies for CE treatment, addressing the urgent need for effective and safe drugs in managing this neglected tropical disease.

Incidence and Mortality Life-Attributable Risks for Patients Subjected to Recurrent CT Examinations and Cumulative Effective Dose Exceeding 100 mSv.

Computed tomography (CT) multi-detector array has been heavily utilized over the past decade. While transforming an individual's diagnosis, the risk of developing pathogenesis as a result remains a concern. The main aim of this institutional cumulative effective dose (CED) review is to highlight the number of adult individuals with a record of CED ≥ 100 mSv over a time span of 5 years. Further, we aim to roughly estimate both incidence and mortality life-attributable risks (LARs) for the shortlisted individuals. CT studies performed over one year, in one dedicated trauma and emergency facility, were retrospectively retrieved and analyzed. Individuals with historical radiological CED ≥ 100 mSv were short-listed. LARs were defined and established based on organ, age and gender. Out of the 4406 CT studies reviewed, 22 individuals were found with CED ≥ 100 mSv. CED varied amongst the short-listed individuals, with the highest CED registered being 223.0 mSv, for a 57-year-old male, cumulated over an average study interval of 46.3 days. The highest median mortality risk was for females, 214 per 100,000 registered for the age group 51-60 years. While certain clinical indications and diseases require close follow-up using radiological examinations, the benefit-to-risk ratio should be carefully considered, particularly when CT is requested.

Identification of etiological agents by LPA and PCR in childhood meningitis.

OBJECTIVES: To determine the etiological agents by Latex Particle Agglutination (LPA) and Polymerase Chain Reaction (PCR) in patients admitted with Cerebrospinal Fluid (CSF) culture negative bacterial meningitis Methods: This descriptive case series was conducted at National Institute of Child Health, Karachi from January 2010 to December 2012. Patients meeting the WHO case definition of suspected meningitis from one month to 59 months of age were included in the study. CSF examination and culture was carried out on every patient and CSF culture negative patients were enrolled. Demographic data, clinical signs & symptoms and laboratory findings were entered into the proforma. Data was analyzed using statistical package for social sciences (SPSS) version 17. P-value <0.05 was taken as significant. RESULTS: A total of 166 patients were included. Male were 96 and female were 76 with the male to female ratio of 1.26. The mean age of patient was ± SD 14.6 ± 14.5 months. The etiological agents identified by LPA were in 26/166 (15.66%) cases and the organisms were H. influenzae type b 10 cases, streptococcus pneumoniae 15 cases and meningococcus only one case respectively. The organisms identified by PCR were in 65/166 (39.15%) cases and the isolates were H. influenzae type b 16 cases, streptococcus pneumoniae 48 cases and meningococcus 01 case respectively. CONCLUSION: LPA and PCR are superior and useful diagnostic tools in microbiology. They can be used for rapid etiological diagnosis of bacterial meningitis for the early administration of proper antibiotic. Abbreviation: LPA = Latex Particle Agglutination, PCR = Polymerase Chain Reaction, CSF = Cerebrospinal Fluid, CNS = Central Nervous System.

Memorability-based multimedia analytics for robotic interestingness prediction system using trimmed Q-learning algorithm.

Mobile robots are increasingly employed in today's environment. Perceiving the environment to perform a task plays a major role in the robots. The service robots are wisely employed in the fully (or) partially known user's environment. The exploration and exploitation of the unknown environment is a tedious task. This paper introduces a novel Trimmed Q-learning algorithm to predict interesting scenes via efficient memorability-oriented robotic behavioral scene activity training. The training process involves three stages: online learning and short-term and long-term learning modules. It is helpful for autonomous exploration and making wiser decisions about the environment. A simplified three-stage learning framework is introduced to train and predict interesting scenes using memorability. A proficient visual memory schema (VMS) is designed to tune the learning parameters. A role-based profile arrangement is made to explore the unknown environment for a long-term learning process. The online and short-term learning frameworks are designed using a novel Trimmed Q-learning algorithm. The underestimated bias in robotic actions must be minimized by introducing a refined set of practical candidate actions. Finally, the recalling ability of each learning module is estimated to predict the interesting scenes. Experiments conducted on public datasets, SubT, and SUN databases demonstrate the proposed technique's efficacy. The proposed framework has yielded better memorability scores in short-term and online learning at 72.84% and in long-term learning at 68.63%.

Implications of computed tomography reconstruction algorithms on coronary atheroma quantification: Comparison with intravascular ultrasound.

BACKGROUND: Advances in coronary computed tomography angiography (CCTA) reconstruction algorithms are expected to enhance the accuracy of CCTA plaque quantification. We aim to evaluate different CCTA reconstruction approaches in assessing vessel characteristics in coronary atheroma using intravascular ultrasound (IVUS) as the reference standard. METHODS: Matched cross-sections (n â€‹= â€‹7241) from 50 vessels in 15 participants with chronic coronary syndrome who prospectively underwent CCTA and 3-vessel near-infrared spectroscopy-IVUS were included. Twelve CCTA datasets per patient were reconstructed using two different kernels, two slice thicknesses (0.75 â€‹mm and 0.50 â€‹mm) and three different strengths of advanced model-based iterative reconstruction (IR) algorithms. Lumen and vessel wall borders were manually annotated in every IVUS and CCTA cross-section which were co-registered using dedicated software. Image quality was sub-optimal in the reconstructions with a sharper kernel, so these were excluded. Intraclass correlation coefficient (ICC) and repeatability coefficient (RC) were used to compare the estimations of the 6 CT reconstruction approaches with those derived by IVUS. RESULTS: Segment-level analysis showed good agreement between CCTA and IVUS for assessing atheroma volume with approach 0.50/5 (slice thickness 0.50 â€‹mm and highest strength 5 ADMIRE IR) being the best (total atheroma volume ICC: 0.91, RC: 0.67, p â€‹< â€‹0.001 and percentage atheroma volume ICC: 0.64, RC: 14.06, p â€‹< â€‹0.001). At lesion-level, there was no difference between the CCTA reconstructions for detecting plaques (accuracy range: 0.64-0.67; p â€‹= â€‹0.23); however, approach 0.50/5 was superior in assessing IVUS-derived lesion characteristics associated with plaque vulnerability (minimum lumen area ICC: 0.64, RC: 1.31, p â€‹< â€‹0.001 and plaque burden ICC: 0.45, RC: 32.0, p â€‹< â€‹0.001). CONCLUSION: CCTA reconstruction with thinner slice thickness, smooth kernel and highest strength advanced IR enabled more accurate quantification of the lumen and plaque at a segment-, and lesion-level analysis in coronary atheroma when validated against intravascular ultrasound. CLINICALTRIALS: gov (NCT03556644).

Antimicrobial and antioxidant activities of fennel oil.

It is of interest to estimate the effects of foliar spray (ISA) on essential oil yield, chemical constituents, antioxidant, and antimicrobial activities of fennel (Foeniculum vulgare Mill).Fennel was treated with ISA solutions at 40 and 80 mg L-1 doses. Application of ISA significantly augmented antioxidant and antimicrobial activities in addition to essential oil yield and its principal elements in fennel. 80 mg L-1 dose of ISA was found to be pre-eminent. Antioxidant properties of EOs were determined through DPPH assays, metal chelators and lipid peroxidation. While antimicrobial activities were evaluated using agar well diffusion and microdilution techniques of broth. Gram positive and Gram negative bacteria were used to gauge the oil's antibacterial effectiveness. Data shows that antioxidant and antimicrobial activities of fennel oil were found to be the highest. According to GC analysis, trans-anethole (78.38-86.08%), methyl chavicol (2.32-2.54%), and fenchone (6.65-8.95%) were the three main constituents of fennel essential oil.

Four Severity Levels for Grading the Tortuosity of a Retinal Fundus Image.

Hypertensive retinopathy severity classification is proportionally related to tortuosity severity grading. No tortuosity severity scale enables a computer-aided system to classify the tortuosity severity of a retinal image. This work aimed to introduce a machine learning model that can identify the severity of a retinal image automatically and hence contribute to developing a hypertensive retinopathy or diabetic retinopathy automated grading system. First, the tortuosity is quantified using fourteen tortuosity measurement formulas for the retinal images of the AV-Classification dataset to create the tortuosity feature set. Secondly, a manual labeling is performed and reviewed by two ophthalmologists to construct a tortuosity severity ground truth grading for each image in the AV classification dataset. Finally, the feature set is used to train and validate the machine learning models (J48 decision tree, ensemble rotation forest, and distributed random forest). The best performance learned model is used as the tortuosity severity classifier to identify the tortuosity severity (normal, mild, moderate, and severe) for any given retinal image. The distributed random forest model has reported the highest accuracy (99.4%) compared to the J48 Decision tree model and the rotation forest model with minimal least root mean square error (0.0000192) and the least mean average error (0.0000182). The proposed tortuosity severity grading matched the ophthalmologist's judgment. Moreover, detecting the tortuosity severity of the retinal vessels', optimizing vessel segmentation, the vessel segment extraction, and the created feature set have increased the accuracy of the automatic tortuosity severity detection model.

Relative safety and quality of various dietary supplement products U.S. Service Members ask about.

CONTEXT: The purpose of this project was to determine types of dietary supplement products U.S. Service Members frequently ask about and identify risks associated with select products that consumers should be aware of when considering their use. METHODS: Forty-one dietary supplement products frequently asked about through the Operation Supplement Safety's (OPSS.org) Ask-the-Expert portal were selected. Product analysis was performed to verify whether select products were accurately labeled and to identify any risky ingredients contained in these products. Operation Supplement Safety Risk Assessment Scorecard criteria were additionally used as a screening tool to assess a product's relative safety potential. RESULTS: Among the select dietary supplements, 12 (29.3%) were marketed as pre-workout products; 14 (34.1%) for weight loss; four (9.8%) for male enhancement/testosterone boosters; and 11 (26.8%) as body building supplements. Eleven (26.8%) products had accurate labels; only eight of these had accurate labels plus no risky ingredients listed on the labels. Twenty-six (63.4%) products were misbranded; 10 (24.4%) were adulterated, and six (14.6%) were both misbranded and adulterated. Risky ingredients appeared on 23 (56%) of all product labels. Eight of these 23 products also had additional risky ingredients not listed on the labels but detected through analysis. According to the Scorecard based on label claims, 35 (85.4%) received a rating of "no-go/risky". CONCLUSIONS: U.S. Service Members and the public at large should be aware that dietary supplements may contain risky ingredients and know how to identify ingredients on the label to evaluate potential risk.

ACE/ACE2 balance might be instrumental to explain the certain comorbidities leading to severe COVID-19 cases.

The outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is a global catastrophe. The elderly and people with comorbidity are facing a serious complication of the disease. The entry and infection strategy of SARS-CoV-2 in a host cell is raised by an amazing way of angiotensin-converting enzyme (ACE) 2 (ACE2) receptor recognition and imbalance of ACE/ACE2 in various organs, especially in the lungs. Here it has been discussed the role of interferon and protease during the receptor recognition (begining of infection) and followed by the impact of cytokine and hypoxia in the context of the balance of ACE/ACE2. It has also very concisely delineated the biochemistry and mechanism of ACE/ACE2 balance in different stages of infection and its role in comorbidity.

Early MCI-to-AD Conversion Prediction Using Future Value Forecasting of Multimodal Features.

In Alzheimer's disease (AD) progression, it is imperative to identify the subjects with mild cognitive impairment before clinical symptoms of AD appear. This work proposes a technique for decision support in identifying subjects who will show transition from mild cognitive impairment (MCI) to Alzheimer's disease (AD) in the future. We used robust predictors from multivariate MRI-derived biomarkers and neuropsychological measures and tracked their longitudinal trajectories to predict signs of AD in the MCI population. Assuming piecewise linear progression of the disease, we designed a novel weighted gradient offset-based technique to forecast the future marker value using readings from at least two previous follow-up visits. Later, the complete predictor trajectories are used as features for a standard support vector machine classifier to identify MCI-to-AD progressors amongst the MCI patients enrolled in the Alzheimer's disease neuroimaging initiative (ADNI) cohort. We explored the performance of both unimodal and multimodal models in a 5-fold cross-validation setup. The proposed technique resulted in a high classification AUC of 91.2% and 95.7% for 6-month- and 1-year-ahead AD prediction, respectively, using multimodal markers. In the end, we discuss the efficacy of MRI markers as compared to NM for MCI-to-AD conversion prediction.

Label-Free Electrochemical Microfluidic Chip for the Antimicrobial Susceptibility Testing.

The emergence and spread of antibiotic-resistant bacteria is a global threat to human health. An accurate antibiotic susceptibility test (AST) before initiating the treatment is paramount in the treatment and bacterial resistance control. However, the current AST methods either are complex, use chemical and biological labels, lack multiplexing, are expensive, or are too slow to be used for routine screening. The primary objective of the current study is to develop an automated electrochemical microfluidic chip (EMC) for simple and rapid AST. The microfluidic channels and gold microelectrodes were designed for the automation of antibiotic mixing and distribution in multiple test chambers and for electrical signal measurements. The designed chip was tested for AST with E. coli samples, and the results were compared with conventional broth microdilution. The presented EMC provided rapid bacterial count and AST in 170 and 150 min, respectively, while the conventional broth microdilution evaluates in 450 and 240 min, respectively. The rapid AST capability of the EMC was further demonstrated with the artificial urine samples, and the results were obtained in 270 min, which was 90 min faster than the broth microdilution method. Additionally, the minimum inhibitory concentration (MIC) was evaluated on the EMC and compared with the results from an AlamarBlue assay. The experimental results indicate the sensitivity of the chip, minimum loss of antibiotics, and eventually, reduction in the evolution of antibiotic resistance. Cumulatively, we have developed an automated, label-free, economical, rapid, robust, and user-friendly EMC for the evaluation of AST in urine samples.

Lead Toxicity: Health Hazards, Influence on Food Chain, and Sustainable Remediation Approaches.

Lead (Pb) toxicity has been a subject of interest for environmental scientists due to its toxic effect on plants, animals, and humans. An increase in several Pb related industrial activities and use of Pb containing products such as agrochemicals, oil and paint, mining, etc. can lead to Pb contamination in the environment and thereby, can enter the food chain. Being one of the most toxic heavy metals, Pb ingestion via the food chain has proven to be a potential health hazard for plants and humans. The current review aims to summarize the research updates on Pb toxicity and its effects on plants, soil, and human health. Relevant literature from the past 20 years encompassing comprehensive details on Pb toxicity has been considered with key issues such as i) Pb bioavailability in soil, ii) Pb biomagnification, and iii) Pb- remediation, which has been addressed in detail through physical, chemical, and biological lenses. In the review, among different Pb-remediation approaches, we have highlighted certain advanced approaches such as microbial assisted phytoremediation which could possibly minimize the Pb load from the resources in a sustainable manner and would be a viable option to ensure a safe food production system.

Compliance of smokeless tobacco supply chain actors and products with tobacco control laws in Bangladesh, India and Pakistan: protocol for a multicentre sequential mixed-methods study.

INTRODUCTION: South Asia is home to more than 300 million smokeless tobacco (ST) users. Bangladesh, India and Pakistan as signatories to the Framework Convention for Tobacco Control (FCTC) have developed policies aimed at curbing the use of tobacco. The objective of this study is to assess the compliance of ST point-of-sale (POS) vendors and the supply chain with the articles of the FCTC and specifically with national tobacco control laws. We also aim to assess disparities in compliance with tobacco control laws between ST and smoked tobacco products. METHODS AND ANALYSIS: The study will be carried out at two sites each in Bangladesh, India and Pakistan. We will conduct a sequential mixed-methods study with five components: (1) mapping of ST POS, (2) analyses of ST samples packaging, (3) observation, (4) survey interviews of POS and (5) in-depth interviews with wholesale dealers/suppliers/manufacturers of ST. We aim to conduct at least 300 POS survey interviews and observations, and 6-10 in-depth interviews in each of the three countries. Data collection will be done by trained data collectors. The main statistical analysis will report the frequencies and proportions of shops that comply with the FCTC and local tobacco control policies, and provide a 95% CI of these estimates. The qualitative in-depth interview data will be analysed using the framework approach. The findings will be connected, each component informing the focus and/or design of the next component. ETHICS AND DISSEMINATION: Ethical approvals for the study have been received from the Health Sciences Research Governance Committee at the University of York, UK. In-country approvals were taken from the National Bioethics Committee in Pakistan, the Bangladesh Medical Research Council and the Indian Medical Research Council. Our results will be disseminated via scientific conferences, peer-reviewed research publications and press releases.