A comprehensive genetic map of cytokine responses in Lyme borreliosis

The incidence of Lyme borreliosis has risen, accompanied by persistent symptoms. The innate immune system and related cytokines are crucial in the host response and symptom development. We characterized cytokine production capacity before and after antibiotic treatment in 1,060 Lyme borreliosis patients. We observed a negative correlation between antibody production and IL-10 responses, as well as increased IL-1Ra responses in patients with disseminated disease. Genome-wide mapping the cytokine production allowed us to identify 34 cytokine quantitative trait loci (cQTLs), with 31 novel ones. We pinpointed the causal variant at the TLR1-6-10 locus and validated the regulation of IL-1Ra responses at transcritpome level using an independent cohort. We found that cQTLs contribute to Lyme borreliosis susceptibility and are relevant to other immune-mediated diseases. Our findings improve the understanding of cytokine responses in Lyme borreliosis and provide a genetic map of immune function as an expanded resource.

The futuristic applications of transition metal dichalcogenides for cancer therapy

The second-most common cause of death resulting from genetic mutations in DNA sequences is cancer. The difficulty in the field of anticancer research is the application of the traditional methods, which also affects normal cells. Mutations, genetic replication alterations, and chromosomal abnormalities have a direct impact on the effectiveness of anticancer drugs at different stages. Presently, therapeutic techniques utilize nanotechnology, transition metal dichalcogenides (TMDCs), and robotics. TMDCs are being increasingly employed in tumor therapy and biosensing applications due to their biocompatibility, adjustable bandgap, versatile functionality, exceptional photoelectric properties, and wide range of applications. This study reports the advancement of nanoplatforms based on TMDCs that are specifically engineered for responsive and intelligent cancer therapy. This article offers a thorough examination of the current challenges, future possibilities for theranostic applications using TMDCs, and recent progress in employing TMDCs for cancer therapy. Currently, there is significant interest in two-dimensional (2D) TMDCs nanomaterials as ultrathin unique physicochemical properties. These materials have attracted attention in various fields, including biomedicine. Due to their inherent ability to absorb near-infrared light and their exceptionally large surface area, significant efforts are being made to prepare multifunctional nanoplatforms based on 2D TMDCs.

A Comprehensive Review of the Diverse Spectrum Activity of 1,2,3-Triazole-linked Isatin Hybrids

Heterocyclic compounds containing 1,2,3-triazole and isatin as core structures have emerged as promising drug candidates due to their diverse biological activities such as anti-cancer, antifungal, antimicrobial, antitumor, anti-epileptic, antiviral, and more. The presence of 1,2,3-triazoles and isatin heterocycles in these hybrids, both individually known for their medicinal significance, has increasingly piqued the interest of drug discovery researchers, as they seek to delve deeper into their extensive pharmacological potential for enhancing therapeutic efficacy. Moreover, these hybrid compounds are synthetically accessible using readily available materials. Therefore, there is a pressing need to provide a comprehensive overview of the existing knowledge in this field, offering valuable insights to readers and paving the way for the discovery of novel 1,2,3-triazole-linked isatin hybrids with therapeutic potential.

Supramolecular Organo/hydrogel-Fabricated Long Alkyl Chain α-Amidoamides as a Smart Soft Material for pH-Responsive Curcumin Release

Low-molecular-mass gelators, due to their excellent biocompatibility, low toxicological profile, innate biodegradability and ease of fabrication have garnered significant interest as they self-assemble through non-covalent interactions. In this study, we have designed and synthesized a series of six α-amidoamides by varying the hydrophobic alkyl chain length (C12-C22), which were well characterized using different spectral techniques. These α-amidoamides formed self-assembled aggregates in a DMSO/water solvent system affording organo/hydrogels at 0.66% w/v, which is the minimum gelation concentration (MGC) making them as remarkable supergelators. The various functionalities present in these gelators such as amides and alkyl chain length pave the way toward excellent gelation mechanism through hydrogen bonding and van der Waals interaction as evidenced from FTIR spectroscopy. Notably, as the chain length increased, organo/hydrogels became more thermally stable. Rheological results showed that the stability and strength of these gelators were considerably impacted by variations in chain length. The SEM morphology revealed dense sheet architectures of the organo/hydrogel samples. Organo/hydrogels have a significant impact on the advancement of innovative drug delivery systems that respond to various stimuli, ushering in a new era in pharmaceutical technology. Inspired by this, we encapsulated curcumin, a chemopreventive medication, into the gel core and further released via gel-to-sol transition induced by pH variation at 37 °C, without any alteration in structure-activity relationship. The drug release behavior was observed by UV-vis spectroscopy. Moreover, cell viability and cell invasion experiments demonstrate that the gel formulations exhibit high biocompatibility and low cytotoxicity. Among the tested formulations, 5e+Cur exhibited remarkable efficacy in controlling A549 cell migration, suggesting significant potential for applications in the pharmaceutical industry.

COVID-19 Vaccination in a Patient With Gluten Enteropathy: A Case Report

In India, the COVID-19 vaccination for adolescents aged 15-17 years has been started since January 2022. Gluten enteropathy, also known as celiac or nontropical sprue, can arise as an autoimmune disease of the small intestines. We report a 15-year-old female with a history of allergy to gluten-containing products who came for the first dose of the COVID-19 vaccination to adult vaccination OPD at All India Institute of Medical Sciences, Jodhpur. After taking a detailed history, she had an allergy to gluten-containing products for five years. She had no previous history of allergic reactions to injections or medicines. The first dose of Covaxin was given to this female under proper supervision, and she was followed up for any adverse events. We did not find any evidence of adverse events following the COVID-19 vaccination in people with gluten enteropathy. The patient was discharged after one hour of observation. To date, no cases of Covaxin vaccination have been reported among gluten enteropathy patients. We discuss the current evidence relating to Covaxin vaccinations, highlighting that administering the vaccine to gluten-sensitive individuals did not cause any adverse reactions. However, proper history taking and other standard procedures should be followed while administering Covaxin to any known allergies.

Facile one-pot multicomponent synthesis of peptoid based gelators as novel scaffolds for drug incorporation and pH-sensitive release

Infections caused by bacteria are the primary cause of illness and death globally, and antibiotics are the most commonly used medications to treat them. However, there are certain inherent problems in administering these drugs without any changes to their effectiveness. In order to sustain the targeted dosage over time, the use of a biocompatible local drug delivery system using low molecular mass gelators is preferred as a potential approach to reduce its side effects. Low molecular weight organic gelators (LMWOGs) have drawn a lot of attention due to their numerous and varied applications in multiple fields. But nowadays its quite a challenging task to synthesize new types of LMWOGs that can fill the significant gap towards potential applications. In this work, we have explored a multicomponent pathway for the synthesis of a small repertoire of peptoids from simple building blocks by a one-pot Ugi reaction. A variety of novel effective low molecular weight organic gelators have been synthesized, leading to the formation of stable self-assembled aggregates in various solvents such as DMSO, aqueous DMSO, and methanol. Consequently, these aggregates give rise to the creation of organogels and organo/hydrogels. The gels have a minimum gelation concentration (MGC) of 1-2% w/v with high thermal stability. Furthermore, successful encapsulation and release of metronidazole (MZ) were achieved within the gel matrix under physiological pH conditions at 37 °C, ensuring the preservation of its structural and functional properties. The results demonstrated that the release rate of MZ from the organo/hydrogels is contingent on pH, exhibiting a gradual and regulated release in mild alkaline environments. Moreover, the devised system displayed noteworthy antimicrobial efficacy against E. coli, underscoring the potential of these novel low molecular weight organic gels (LMWOGs) as effective drug delivery systems in the pharmaceutical industry. The gel formulations exhibit biocompatibility and negligible cytotoxicity, as evidenced by cell viability studies conducted using the MTT assay.

Role of pinch in Argon impurity transport in ohmic discharges of Aditya-U Tokamak

We present experimental results of the trace argon impurity puffing in the ohmic plasmas of Aditya-U tokamak performed to study the argon transport behaviour. Argon line emissions in visible and Vacuum Ultra Violet (VUV) spectral ranges arising from the plasma edge and core respectively are measured simultaneously. During the experiments, space resolved brightness profile of Ar1+ line emissions at 472.69 nm (3p44s 2P3/2-3p44p 2D3/2), 473.59 nm (3p44s 4P5/2-3p44p 4P3/2), 476.49 nm (3p44s 2P1/2-3p44p 2P3/2), 480.60 nm (3p44s 4P5/2-3p44p 4P5/2) are recorded using a high resolution visible spectrometer. Also, a VUV spectrometer has been used to simultaneously observe Ar13+ line emission at 18.79 nm (2s22p 2P3/2-2s2p2 2P3/2) and Ar14+ line emission at 22.11 nm (2s2 1S0-2s2p 1P1). The diffusivity and convective velocity of Ar are obtained by comparing the measured radial emissivity profile of Ar1+ emission and the line intensity ratio of Ar13+ and Ar14+ ions, with those simulated using the impurity transport code, STRAHL. Argon diffusivities ~ 12 m2/s and ~ 0.3 m2/s have been observed in the edge (ρ > 0.85) and core region of the Aditya-U, respectively. The diffusivity values both in the edge and core region are found to be higher than the neo-classical values suggesting that the argon impurity transport is mainly anomalous in the Aditya-U tokamak. Also, an inward pinch of ~ 10 m/s mainly driven by Ware pinch is required to match the measured and simulated data. The measured peaked profile of Ar density suggests impurity accumulation in these discharges.

NREP contributes to development of NAFLD by regulating one-carbon metabolism in primary human hepatocytes

Non-alcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. We recently discovered that neuronal regeneration-related protein (NREP/P311), an epigenetically regulated gene reprogrammed by parental metabolic syndrome, is downregulated in human NAFLD. To investigate the impact of NREP insufficiency, we used RNA-sequencing, lipidomics, and antibody microarrays on primary human hepatocytes. NREP knockdown induced transcriptomic remodeling that overlapped with key pathways impacted in human steatosis and steatohepatitis. Additionally, we observed enrichment of pathways involving phosphatidylinositol signaling and one-carbon metabolism. Lipidomics analyses also revealed an increase in cholesterol esters and triglycerides and decreased phosphatidylcholine levels in NREP-deficient hepatocytes. Signalomics identified calcium signaling as a potential mediator of NREP insufficiency's effects. Our results, together with the encouraging observation that several single nucleotide polymorphisms (SNPs) spanning the NREP locus are associated with metabolic traits, provide a strong rationale for targeting hepatic NREP to improve NAFLD pathophysiology.

In-silico identification of small molecule benzofuran-1,2,3-triazole hybrids as potential inhibitors targeting EGFR in lung cancer via ligand-based pharmacophore modeling and molecular docking studies

Lung cancer is one of the most common and deadly types of cancer worldwide, and the epidermal growth factor receptor (EGFR) has emerged as a promising therapeutic target for the treatment of this disease. In this study, we designed a library of 1840 benzofuran-1,2,3-triazole hybrids and conducted pharmacophore-based screening to identify potential EGFR inhibitors. The 20 identified compounds were further evaluated using molecular docking and molecular dynamics simulations to understand their binding interactions with the EGFR receptor. In-silico ADME and toxicity studies were also performed to assess their drug-likeness and safety profiles. The results of this study showed the benzofuran-1,2,3-triazole hybrids BENZ-0454, BENZ-0143, BENZ-1292, BENZ-0335, BENZ-0332, and BENZ-1070 dock score of - 10.2, - 10, - 9.9, - 9.8, - 9.7, - 9.6, while reference molecule - 7.9 kcal/mol for EGFR (PDB ID: 4HJO) respectively. The molecular docking and molecular dynamics simulations revealed that the identified compounds formed stable interactions with the active site of the receptor, indicating their potential as inhibitors. The in-silico ADME and toxicity studies suggested that the compounds had good pharmacokinetic and safety profiles, further supporting their potential as therapeutic agents. Finally, performed DFT studies on the best-selected ligands to gain further insights into their electronic properties. The findings of this study provide important insights into the potential of benzofuran-1,2,3-triazole hybrids as promising EGFR inhibitors for the treatment of lung cancer. Overall, this study provides a valuable starting point for the development of novel EGFR inhibitors with improved efficacy and safety profiles.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s40203-023-00157-1.

Assessment of the USG Detection of Abdominal Pathologies in HIV and Aids and its Association with CD4 Counts - An Original Research

Introduction

In individuals with acquired immunodeficiency syndrome (HIV/AIDS), abdominal pathologies rank second in frequency only to pulmonary illnesses. An essential imaging method for assessing abdominal diseases is ultrasonography (USG). In this study, abdominal pathologies in HIV/AIDS patients were evaluated using USG, and their relationship to CD4 count was further examined.

Materials and Techniques

400 HIV+ subjects with aberrant abdominal USG participated in the current investigation. The subjects were assessed and graded as per the CD4 counts. Later the comparisons were drawn between the USG, and its relationship to CD4 count using SPSS 16.0 software, and all data were examined using appropriate statistical tools.

Results

Men were over 60% of the 400 subjects. The average age of these subjects was 35.6 years; the range for this age group was 6 to 63 years. Spleen involvement was found on ultrasonographic examination in 45.1% of subjects, while liver and lymph node involvement was seen in 43.6% of subjects. Substantial correlations between CD4 counts and findings such as periportal & mesenteric lymphadenopathy, localized pancreatic lesion, splenic microabscess, splenomegaly, and hepatomegaly were found. One percent of individuals had lymphoma, which affected the retroperitoneal lymph nodes, pancreas, and liver.

Conclusion

Present research demonstrates the significance of abdominal ultrasonographic examination in HIV+ patients. CD4 counts have a big impact on how an HIV/AIDS patient's differential diagnosis is determined. The interpretation of USG results in relation to CD4 levels may aid in accurate diagnosis.

A single-cell view on host immune transcriptional response to in vivo BCG-induced trained immunity

Bacillus Calmette-Guérin (BCG) vaccination is a prototype model for the study of trained immunity (TI) in humans, and results in a more effective response of innate immune cells upon stimulation with heterologous stimuli. Here, we investigate the heterogeneity of TI induction by single-cell RNA sequencing of immune cells collected from 156 samples. We observe that both monocytes and CD8⁺ T cells show heterologous transcriptional responses to lipopolysaccharide, with an active crosstalk between these two cell types. Furthermore, the interferon-γ pathway is crucial in BCG-induced TI, and it is upregulated in functional high responders. Data-driven analyses and functional experiments reveal STAT1 to be one of the important transcription factors for TI shared in all identified monocyte subpopulations. Finally, we report the role of type I interferon-related and neutrophil-related TI transcriptional programs in patients with sepsis. These findings provide comprehensive insights into the importance of monocyte heterogeneity during TI in humans.

Identification and exploration of quinazoline-1,2,3-triazole inhibitors targeting EGFR in lung cancer

Epidermal growth factor receptor (EGFR) enhances lung cancer development, due to their inability to permeate the cell membrane, secreted growth factors work through specialized signal transduction pathways. The purpose of this study is to find out a novel anticancer agent that inhibits EGFR and reduces the chances of lung cancer. A series of triazole-substituted quinazoline hybrid compounds were designed by Chemdraw software and docked against five different crystallographic EGFR tyrosine kinase domain (TKD). For docking and visualization PyRx, Autodock vina, and Discovery studio visualizer were used. Molecule-14, Molecule-16, Molecule-19, Molecule-20, and Molecule-38 showed significant affinity but Molecule-19 showed excellent binding affinity (-12.4 kcal/mol) with crystallographic EGFR tyrosine kinase. The superimposition of the co-crystalized ligand with the hit compound shows similar conformation at the active site of EGFR (PDB ID: 4HJO) indicating excellent coupling and pharmaceutically active. The hit compound showed a good bioavailability score (0.55) with no sign of carcinogenesis, mutagenesis, or reproductive toxicity properties. MD simulation and MMGBSA represent good stability and binding free energy demonstrating that the hit (Molecule-19) may be used as a lead compound. Molecule-19 also showed good ADME properties, bioavailability scores, and synthetic accessibility with fewer signs of toxicity. It was observed that Molecule-19 may be a novel and potential inhibitor against EGFR with fewer side effects than the reference molecule. Additionally, the molecular dynamics simulation revealed the stable nature of protein-ligand interaction and provided information about the amino acid residues involved in binding. Overall, this study led to the identification of potential EGFR inhibitors with favorable pharmacokinetic properties. We believe that the outcome of this study can help to develop more potent drug-like molecules to tackle human lung cancer.

An efficient approach to extract nanocrystalline cellulose from sisal fibers: Structural, morphological, thermal and antibacterial analysis

Nanocellulose has been proposed by many researchers as a suitable bio-reinforcement material for the development of sustainable bio-nanocomposites in advanced applications due to its excellent properties. Conventional techniques for extracting nanocellulose from plant biomass are time-consuming and involve chemical wastage. This study aims to extract nanocellulose using simple processes with minimal consumption of chemicals in a minimum time. In the present work, cellulose nanocrystalline has been extracted from sisal fibers efficiently by chemical treatment assisted with steam explosion and mechanical grinding. The morphology of extracted sisal cellulose nanocrystalline (CNC-S) was analyzed by FESEM, whereas the DLS, TEM and AFM confirmed its nanosize. The average aspect ratio and zeta potential (ζ) of CNC-S were measured as 7.4 and -14.3 mV, respectively. The XRD analysis indicated that the crystallinity of the fibers considerably improved from 48.74 % for untreated fibers (UT-S) to 74.28 % for CNC-S. The chemical structure of the fibers was changed as hemicellulose and lignin were found to be eliminated after the chemical treatment which FTIR confirmed. From TGA-DTG results, it was observed that CNC-S has good thermal stability. It was also noticed that CNC-S did not show any antibacterial properties against E. coli and S. aureus due to the complete removal of lignin. This study suggests that the present extraction process can be considered as an efficient process to convert fibers into high performance nanocellulose to be used as potential reinforcing material in advanced applications.

Standard workload-based estimation of nursing manpower requirement in the ICU of a tertiary care teaching hospital: A time and motion study

BACKGROUND

The safety of patients remain at risk due to a higher workload and lower nurse-to-patient ratio. However, in India, most hospitals still adhere to long-known nurse staffing norms set by their statutory or accreditation bodies. Therefore, the present study was undertaken to recommend a standard workload-based estimation of nursing manpower requirement in the ICU of a tertiary care teaching hospital.

MATERIALS AND METHODS

It was a descriptive, observational, time and motion study was conducted in the medicine ICU of a tertiary care teaching hospital. Data collection was done by using demographic and clinical profile sheet of patients, NPDS-H dependency assessment scale, time and activities record sheet, and WHO WISN tool. The nurses' activities were observed by nonparticipatory and non-concealment technique. Data analysis was done using descriptive statistics and the WHO WISN tool.

RESULTS

The bed occupancy rate and the average length of stay in the medicine ICU were 93.23% and 7.18 days respectively. Distribution of dependency level of the medical ICU patients was very high (41.67%), low-high (33.33%), and medium-high (25.0%) dependency level. Considering available resources and workload in tertiary care hospitals in India, the study recommended a nurse-to-patient ratio of 1:1.2 in each shift for the medicine ICU of a tertiary care hospital.

CONCLUSION

The study suggested minimum nurse-to-patient ratio in medical ICU should be 1:1.2 with provision of power to ICU incharge nurse to allocate nurses according to the workload in different shifts. Also, nurse staffing norms in hospitals need to be estimated or selected with serious consideration of health care demands when employing nurse staffing norms.

Pathological and molecular studies on elephant endotheliotropic herpesvirus haemorrhagic disease among captive and free-range Asian elephants in India

In the present research pathology and molecular diagnosis of elephant endotheliotropic herpes virus-haemorrhagic disease (EEHV-HD) among Asian elephants was studied. Out of 76 cases, 20 were positive for EEHV infection in PANPOL and POL1 based semi-nested PCR. Out of 20 samples, 10 samples were fatal cases of EEHV-HD while 10 were of either subclinical or latent infection. Acute onset haemorrhagic disease with EEHV-HD had anorexia, facial and neck swelling, cyanotic buccal mucosa and tongue, nasal and ocular discharge, and colic. The hallmark of gross finding in all cases were severe haemorrhagic lesions in the internal organs viz. cyanosis of tongue with multifocal petechial haemorrhages, diffuse epicardial and endocardial haemorrhages, swollen liver (rounded edges) with parenchymal haemorrhages, serosal and mucosal haemorrhages in gastrointestinal tract, congested kidneys with corticomedullary haemorrhages, highly congested meninges, and brain capillaries with haemorrhages. Microscopic findings in all the cases had severe vascular changes in the visceral organs. Microthrombi was present in the vasculature of tongue, heart, lung, liver, kidney, and brain. The endothelial lining of most of the blood vessels were swollen with apoptotic changes. Amphophilic to basophilic intranuclear inclusion bodies were observed in the endothelial cells. Immunostaining using anti-EEHV DNAPOL hyperimmune sera revealed intense positive signals in the endothelium of blood vessels and their walls. Quantification of viral load in necropsy tissue samples revealed highest in the heart (7.4 × 10⁶/μg of sample) and least in the brain (9 × 10³/μg of sample). The PCR amplicons from EEHV1 specific genes (POL1(U38) and TER were subjected to partial genome sequencing which had 99.9% similarity with the EEHV1A subtype. It was concluded that Asian elephants in India are latently infected for EEHV1 and in all the fatal EEHV-HD cases, EEHV1A subtype was the causative agent with characteristic pathomorphological changes in visceral organs.

Challenges Faced by Cancer Patients in Receiving Health Services During the COVID-19 Pandemic in a Tertiary Care Hospital in Rajasthan

BACKGROUND

Amidst the COVID-19 pandemic, cancer patients may have faced difficulty accessing health care. This study explored the challenges experienced by cancer patients in availing of healthcare during the pandemic, as well as the vaccination status and prevalence of COVID-19 infection among cancer patients in the year 2021.

METHOD

A cross-sectional study was conducted in a tertiary care hospital in Jodhpur, Rajasthan, to interview 150 patients from the oncology department using convenience sampling. Face-to-face interviews lasted for 20-30 minutes. The first segment of the pretested semi-structured questionnaire was directed at obtaining the patient's socio-demographic characteristics, while the second segment focused on the problems that patients encountered during the pandemic in receiving cancer care. The data were analyzed using Statistical Packages for Social Sciences (SPSS) software (IBM Corp., Armonk, NY).

RESULTS

Several constraints, such as a lack of transportation services, difficulty in availing outpatient department (OPD) and teleconsultation services, long waiting times, and deferred surgeries and therapies, have hampered cancer care. COVID-19 mitigation measures further imposed additional stress and financial burden on cancer patients. Moreover, there was low vaccination coverage among cancer patients, which increases their probability of acquiring an infection.

CONCLUSION

Policy reforms must prioritize cancer care in India to maintain a continuum of care by ensuring medication, teleconsultation, uninterrupted treatment, and complete vaccination to decrease the risk of COVID-19 infection and facilitate patient compliance with the healthcare delivery system.

AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19

COVID-19 is a novel virus that presents challenges due to a lack of consistent and in-depth research. The news of the COVID-19 spreads across the globe, resulting in a flood of posts on social media sites. Apart from health, social, and economic disturbances brought by the COVID-19 pandemic, another important consequence involves public mental health crises which is of greater concern. Data related to COVID-19 is a valuable asset for researchers in understanding people's feelings related to the pandemic. It is thus important to extract the early information evolving public sentiments on social platforms during the outbreak of COVID-19. The objective of this study is to look at people's perceptions of the COVID-19 pandemic who interact with each other and share tweets on the Twitter platform. COVIDSenti, a large-scale benchmark dataset comprising 90,000 COVID-19 tweets collected from February to March 2020, during the initial phases of the outbreak served as the foundation for our experiments. A pre-trained bidirectional encoder representations from transformers (BERT) model is fine-tuned and embeddings generated are combined with two long short-term memory networks to propose the residual encoder transformation network model. The proposed model is used for multiclass text classification on a large dataset labeled as positive, negative, and neutral. The experimental outcomes validate that: (1) the proposed model is the best performing model, with 98% accuracy and 96% F1-score; (2) It also outperforms conventional machine learning algorithms and different variants of BERT, and (3) the approach achieves better results as compared to state-of-the-art on different benchmark datasets.

Investigating the effect of density variation on pitch angle scattering events of runaway electrons as observed through electron cyclotron emission diagnostic at Aditya-upgrade tokamak

Nascent observations about the influence of kinetic instabilities on electron cyclotron emission (ECE) from runaway electrons (REs) have been detected and explored at the Aditya-Upgrade (Aditya-U) tokamak. The developed broadband ECE radiometer system offers wideband measurements by integrating several radio frequency units with a fixed intermediate frequency receiver with multiple channels, which is a novel approach to meet the needs of the localized measurements at various toroidal fields and extend the system dynamic range. The low density (n_e ≤ 1 × 10^-19 m^-3) plasma discharges at Aditya-U are consistently accompanied by a 20%-40% increase in the ECE radiometer signal amplitude within 100 µs and sporadic step-like modulations. The Pitch Angle Scattering (PAS) of REs induced by kinetic instabilities is a potential candidate for their occurrence. This steep jump in the radiometer signals was detected due to its high temporal resolution of 10 µs. A "PREDICT" code that employs the relativistic test particle model validates these experimental findings of the radiometer diagnostic for the first time for Aditya-U tokamak. Preliminary observations of the ECE radiometer signals also show that additional gas puffs can be used to vary the trigger timings of such PAS events or even lead to their complete avoidance.

First results of fast visible imaging diagnostic in Aditya-U tokamak

A Fast Visible Imaging Diagnostic (FVID) system, measuring the visible light emission spectrum (400-1000 nm) from tokamak plasma, has been installed on the Aditya-U tokamak to monitor the two-dimensional dynamics of the poloidal cross section of the plasma. In this work, we present the design and installation of the FVID system on the Aditya-U tokamak. The evolution of plasma and plasma-wall interactions is described. The signature of the runaway electron beam in visible imaging and its correlation with other diagnostics is presented. The estimation of the electron cyclotron resonance layer position during pre-ionization is also discussed in this work.

Large area multi-filamentary plasma source for large volume plasma device-upgrade

This paper discusses the salient features and plasma performance of the newly installed Large Area Multi-Filamentary Plasma Source (LAMPS) in large volume plasma device-upgrade. The plasma source is designed to exhibit a plasma electron density of ∼10¹⁸ m^-3, low electron temperature (∼eV), and a uniform plasma cross section of 2.54 m². The directly heated LAMPS emits accelerated primary energetic electrons when it is biased with a negative discharge voltage with respect to the anode. The hairpin shaped tungsten (W) filaments, each of diameter 0.5 mm and length 180 mm, are heated to a temperature of 2700 K by feeding ∼19.5A to each filament. The LAMPS consists of 162 numbers of filaments, and it has been successfully operated with a total investment of 50 kW of electrical power. The LAMPS as a laboratory plasma source is characterized by large operational life, ease of handling, better compatibility to high pressure conditions, and advantages over other contemporary plasma sources, viz., oxide coated cathodes, RF based sources, and helicon sources, when producing plasma over large cross sections and fill volumes. Pulsed argon plasma is produced with quiescence (δn_en_e≪1%) using LAMPS for the duration of 50 ms and a reasonably good radial uniformity (L_n = 210 cm) is achieved. Good axial uniformity is also observed over the entire length of the device. Initial measurements on plasma parameters have yielded plasma density of ∼2×10¹⁷m^-3 with existing set of filaments. A plasma density of ∼10¹⁸ m^-3 is envisaged for larger thickness of filaments, such as 0.75 and 1.0 mm, with the existing plasma source assembly setup.

Deep learning techniques for cancer classification using microarray gene expression data

Cancer is one of the top causes of death globally. Recently, microarray gene expression data has been used to aid in cancer’s effective and early detection. The use of DNA microarray technology to uncover information from the expression levels of thousands of genes has enormous promise. The DNA microarray technique can determine the levels of thousands of genes simultaneously in a single experiment. The analysis of gene expression is critical in many disciplines of biological study to obtain the necessary information. This study analyses all the research studies focused on optimizing gene selection for cancer detection using artificial intelligence. One of the most challenging issues is figuring out how to extract meaningful information from massive databases. Deep Learning architectures have performed efficiently in numerous sectors and are used to diagnose many other chronic diseases and to assist physicians in making medical decisions. In this study, we have evaluated the results of different optimizers on a RNA sequence dataset. The Deep learning algorithm proposed in the study classifies five different forms of cancer, including kidney renal clear cell carcinoma (KIRC), Breast Invasive Carcinoma (BRCA), lung adenocarcinoma (LUAD), Prostate Adenocarcinoma (PRAD) and Colon Adenocarcinoma (COAD). The performance of different optimizers like Stochastic gradient descent (SGD), Root Mean Squared Propagation (RMSProp), Adaptive Gradient Optimizer (AdaGrad), and Adaptive Momentum (AdaM). The experimental results gathered on the dataset affirm that AdaGrad and Adam. Also, the performance analysis has been done using different learning rates and decay rates. This study discusses current advancements in deep learning-based gene expression data analysis using optimized feature selection methods.

Initial results from time-resolved LaBr based hard x-ray spectrometer for ADITYA-U tokamak

Runaway electrons (REs) are passively studied by hard x-ray (HX) emissions generated by REs. A LaBr₃(Ce) detector-based HX spectroscopic diagnostic (operational within ∼75 keV to 3.5 MeV) has been set up on the ADITYA-U. The diagnostic acquisition software utility is upgraded to obtain the temporal evolution of the HX spectrum to understand the RE energy distribution in plasma during its various phases. The peak position moves to lower energy for Ohmically heated discharges (200-80 keV), indicating a relative increase in the thermal particle content in the plasma. The peak position of RE energy shows a decreasing tendency with increasing n_e with Ne gas puffing and termination of the electron cyclotron resonance pulse.

Impact of COVID-19 pandemic on obstetrics and gynecology residency training program in India: A national online survey

Objective

The goal of this study was to analyze how the COVID‐19 pandemic affected the Obstetrics and Gynecology (OBG) residency program in India.

Study Design

This was a cross‐sectional questionnaire‐based online survey aimed to assess the impact of the pandemic on the residency training program in Obstetrics and Gynecology. The questionnaire consisted of five sections: demographic details, information regarding COVID‐19 status, clinical work load, teaching and research, and psychological impact.

Results

The questionnaire was completed by 280 OBG trainees from different medical colleges from India. Training activity in general was reduced considerably during the pandemic, according to 79.6% (n = 223) respondents. According to 13.21% (n = 37) and 5% (n = 14) respondents, reduction in training activity were due to cancelation of elective operations and reduced patient foot fall respectively. In 74.3% (n = 208) of cases, trainees reported worry about meeting the goals of their specialty training. Logistic regression showed that the extent of training reduction was not significantly associated with residents' age (p = 0.806), gender (p = 0.982), marital status (p = 0.363), and status of their duty in COVID‐19 dedicated hospitals (p = 0.110). However, year of residency was a significant predictor of the perception about degree of training reduction.

Conclusion

The pandemic imposed a significant impact on OBG residency training in India. During the pandemic, exposure to learning opportunities, surgeries, and teaching were reduced, which may result in a decline in the quality of care offered to women in the future if training deficit is not overcome. At the same time, pandemic also gave birth to newer insights of learning and interaction by online mode.

Challenges in implementation of mother milk banks in Rajasthan: A situational analysis

BACKGROUND

Breastmilk is the baby's "first vaccine". Donated human milk (DHM) is the next best alternative when a mother's milk is not available, as recommended by WHO- UNICEF. DHM as a nutritional source provides similar immune protection and may prove revolutionary in reducing neonatal morbidity and mortality. The study aimed to explore the challenges in the implementation of selected Mother Milk Banks (MMBs) of Rajasthan.

MATERIAL AND METHODS

A qualitative in-depth interview of key stakeholders was conducted to know the various facets of the challenges in milk banking practices using the Root Cause Analysis framework.

RESULTS

The system challenges identified in the functioning of AMMBs were lack of recurring funds, dedicated lactational counselors, and trained technicians. Databases for demand-supply estimates were also lacking. The community challenges were low acceptance of DHM due to safety concerns, risk of disease transmission, and quality of donated milk. Moreover, the religious stigma and cultural beliefs regarding the transfer of heredity traits and decrease in mother-child affection act as barriers in donating milk.

CONCLUSION

For acceptance and availability of DHM, Social Behavior Communication Change (SBCC) interventions must be incorporated early during the antenatal check-up period. Our study highlighted the role of education; motivation by healthcare providers has a major influence on infant feeding choices. In a developing country such as India, where the frameworks concerning the development of mother milk banks are still maturing, our study findings provide baseline information to address the barriers in the implementation of mother milk banks in India.

An hybrid deep learning approach for depression prediction from user tweets using feature-rich CNN and bi-directional LSTM

Depression has become one of the most widespread mental health disorders across the globe. Depression is a state of mind which affects how we think, feel, and act. The number of suicides caused by depression has been on the rise for the last several years. This issue needs to be addressed. Considering the rapid growth of various social media platforms and their effect on society and the psychological context of a being, it's becoming a platform for depressed people to convey feelings and emotions, and to study their behavior by mining their social activity through social media posts. The key objective of our study is to explore the possibility of predicting a user's mental condition by classifying the depressive from non-depressive ones using Twitter data. Using textual content of the user's tweet, semantic context in the textual narratives is analyzed by utilizing deep learning models. The proposed model, however, is a hybrid of two deep learning architectures, Convolutional Neural Network (CNN) and bi-directional Long Short-Term Memory (biLSTM) that after optimization obtains an accuracy of 94.28% on benchmark depression dataset containing tweets. CNN-biLSTM model is compared with Recurrent Neural Network (RNN) and CNN model and also with the baseline approaches. Experimental results based on various performance metrics indicate that our model helps to improve predictive performance. To examine the problem more deeply, statistical techniques and visualization approaches were used to show the profound difference between the linguistic representation of depressive and non-depressive content.

Deletion of STAT3 from Foxd1 cell population protects mice from kidney fibrosis by inhibiting pericytes trans-differentiation and migration

Signal transduction and activator of transcription 3 (STAT3) is a key transcription factor implicated in the pathogenesis of kidney fibrosis. Although Stat3 deletion in tubular epithelial cells is known to protect mice from fibrosis, vFoxd1 cells remains unclear. Using Foxd1-mediated Stat3 knockout mice, CRISPR, and inhibitors of STAT3, we investigate its function. STAT3 is phosphorylated in tubular epithelial cells in acute kidney injury, whereas it is expanded to interstitial cells in fibrosis in mice and humans. Foxd1-mediated deletion of Stat3 protects mice from folic-acid- and aristolochic-acid-induced kidney fibrosis. Mechanistically, STAT3 upregulates the inflammation and differentiates pericytes into myofibroblasts. STAT3 activation increases migration and profibrotic signaling in genome-edited, pericyte-like cells. Conversely, blocking Stat3 inhibits detachment, migration, and profibrotic signaling. Furthermore, STAT3 binds to the Collagen1a1 promoter in mouse kidneys and cells. Together, our study identifies a previously unknown function of STAT3 that promotes kidney fibrosis and has therapeutic value in fibrosis.

Abnormal exocrine-endocrine cell cross-talk promotes β-cell dysfunction and loss in MODY8

MODY8 (maturity-onset diabetes of the young, type 8) is a dominantly inherited monogenic form of diabetes associated with mutations in the carboxyl ester lipase (CEL) gene expressed by pancreatic acinar cells. MODY8 patients develop childhood-onset exocrine pancreas dysfunction followed by diabetes during adulthood. However, it is unclear how CEL mutations cause diabetes. In the present study, we report the transfer of CEL proteins from acinar cells to β-cells as a form of cross-talk between exocrine and endocrine cells. Human β-cells show a relatively higher propensity for internalizing the mutant versus the wild-type CEL protein. After internalization, the mutant protein forms stable intracellular aggregates leading to β-cell secretory dysfunction. Analysis of pancreas sections from a MODY8 patient reveals the presence of CEL protein in the few extant β-cells. The present study provides compelling evidence for the mechanism by which a mutant gene expressed specifically in acinar cells promotes dysfunction and loss of β-cells to cause diabetes.

Awareness, Attitude, and Acceptability of Healthcare Workers About COVID-19 Vaccination in Western India

Introduction In the coronavirus disease 2019 (COVID-19) pandemic, healthcare workers (HCWs) are at the frontline around the world and categorized as a priority group for COVID-19 vaccines. Our study aimed to find out the COVID-19 vaccine awareness, attitude, and acceptance in HCWs in western India. Methods A cross-sectional study was carried out between January 14 and January 28, 2021, at a tertiary care hospital located in western India. Data were collected anonymously using Google Forms. Descriptive statistics were used to determine the sociodemographic variables. The knowledge and attitude of HCWs were analyzed using mean and SD. Multivariate analysis was done to find out the association between participants' attitudes with demographic characteristics. Results Of the total health care workers, 498 answered the survey. The mean age of participants was 29.8 years (SD 6.4), and 354 (71.1%) were male. Among the respondents, 445 (89.4%) would accept a COVID-19 vaccine when available. Four-hundred seventy-six (476) HCWs (95.6%) had excellent knowledge regarding COVID-19 and COVID-19-appropriate behavior. The majority of the subjects (399) had a neutral attitude toward COVID-19 vaccination. Health care professionals (doctors and nurses) had higher acceptance for vaccination against COVID-19 than non-professionals. Conclusions The higher rates of COVID-19 vaccine acceptability and the excellent knowledge among HCWs will directly enhance the level and acceptability of vaccine among the general population and will definitely help in reducing the mortality and morbidity related to COVID-19.

Comprehensive Search for Novel Circulating miRNAs and Axon Guidance Pathway Proteins Associated with Risk of ESKD in Diabetes

BACKGROUND

Mechanisms underlying the pro gression of diabetic kidney disease to ESKD are not fully understood.

METHODS

We performed global microRNA (miRNA) analysis on plasma from two cohorts consisting of 375 individuals with type 1 and type 2 diabetes with late diabetic kidney disease, and targeted proteomics analysis on plasma from four cohorts consisting of 746 individuals with late and early diabetic kidney disease. We examined structural lesions in kidney biopsy specimens from the 105 individuals with early diabetic kidney disease. Human umbilical vein endothelial cells were used to assess the effects of miRNA mimics or inhibitors on regulation of candidate proteins.

RESULTS

In the late diabetic kidney disease cohorts, we identified 17 circulating miRNAs, represented by four exemplars (miR-1287-5p, miR-197-5p, miR-339-5p, and miR-328-3p), that were strongly associated with 10-year risk of ESKD. These miRNAs targeted proteins in the axon guidance pathway. Circulating levels of six of these proteins-most notably, EFNA4 and EPHA2-were strongly associated with 10-year risk of ESKD in all cohorts. Furthermore, circulating levels of these proteins correlated with severity of structural lesions in kidney biopsy specimens. In contrast, expression levels of genes encoding these proteins had no apparent effects on the lesions. In in vitro experiments, mimics of miR-1287-5p and miR-197-5p and inhibitors of miR-339-5p and miR-328-3p upregulated concentrations of EPHA2 in either cell lysate, supernatant, or both.

CONCLUSIONS

This study reveals novel mechanisms involved in progression to ESKD and points to the importance of systemic factors in the development of diabetic kidney disease. Some circulating miRNAs and axon guidance pathway proteins represent potential targets for new therapies to prevent and treat this condition.

Distribution and molecular characterisation of Lactobacilli in the oral cavity of children

Background

Dental caries is a chronic and multifactorial disease mainly caused by microorganisms that are accumulated on soft and hard tissues of oral cavity. Lactobacillus is one of that kind, produces acid after metabolic breakdown of dietary sugar and reduces the pH of oral environment, resulting in teeth demineralisation or dental caries.

Aim

The present study focuses on the distribution and characterisation of lactobacilli in the oral cavity of children which are associated with dental caries formation.

Methods

Total 116 swab samples were collected from different age groups of children by swabbing the caries surface of teeth. Physiological, morphological and biochemical characteristics of Lactobacillus were analysed. Whole cell protein profiling using SDS-PAGE was also performed for their characterisation. Molecular characterisation of selected isolates was done using 16S-rRNA sequencing for identification.

Results

Total 269 isolates were successfully isolated and identified by physiological and biochemical tests according to Bergey's Manual Systematic Bacteriology, which belongs to the seven species of Lactobacillus i.e., L. acidophilus, L. casei, L. delbrueckii, L. helveticus, L. plantarum, L. rhamnosus, L. salivarius. All the isolates were further differentiated by whole cell proteins profiling and species level identification was done by 16S-rRNA gene sequencing method.

Conclusions

The present study, suggested that the occurrence of the species of Lactobacillus changes with the age of the individual, but L. rhamnosus (20.54%) and L. acidophilus (18.21%) were abundantly found in age group of 3-12 yr which could be the possible causative agent of dental caries formation in the children of Central India.

Sex Determination in Western Indian Population by Limb Measurements

For individual identification, the principal biological element is sex determination from disfigured and amputated limbs or body fragments in forensic investigation. Diverse dimensions and proportions affect the anthropometric assessment of sex in different populations. A cross-sectional study was conducted during July 2014 to June 2016 on five hundred and four healthy individuals of age-group 22-40 years of Western India to see the degree of sexual dimorphism in limb measurements. The forearm length, whole upper limb length, tibial length and whole lower limb length of both sides were measured by the universal anthropometric criteria. Demarking points, sexual dimorphism indices and discriminant functions were developed for each measurement. The sexual dimorphism was observed in all variables and males have a higher value than females (p<0.001). The tibial length showed the highest accuracy in sex determination and the highest sexual dimorphism, followed by whole lower limb length. The range of Cross-validated sex classification precision was between 58-90% for the individual variables, 91.7% for the stepwise method and 95.4% for all measurements taken together. The established prototypes delivered effective and consistent sex estimates with high precision rates and low prediction errors.

Recurrent Atrial Flutter Requiring Multiple Cardioversions in a Preterm Infant

We describe the first case of atrial flutter requiring multiple cardioversions in a preterm infant. Direct current cardioversion is one of the best-understood treatment options, with a first-time success rate higher than 96%. The electrocardiograms provided reveal a second run of atrial flutter occurring after successful cardioversion. (Level of Difficulty: Intermediate.).

Recent approaches towards one-carbon homologation-functionalization of aldehydes

One-carbon homologation-functionalization in organic synthesis is a quite challenging and difficult task in terms of atom economy, ease of reaction, selectivity and number of steps involved. Due to the reactivity associated with most classes of carbonyls, these groups have always attracted a great deal of attention from synthetic chemists to transform them into various functionalities. In this context various researchers developed new methods for one-carbon extension-functionalization of carbonyls that serve as effective synthetic methodologies and are widely used in target-oriented and natural product synthesis. On account of the vast applicability associated with these transformations, herein we seek to summarize and highlight the important synthetic achievements in this advancing arena for various one-carbon homologation cum functionalization reactions of aldehydes and deep dive into some modern approaches adopted by organic chemists.

Insulin receptor substrate 1, but not IRS2, plays a dominant role in regulating pancreatic alpha cell function in mice

Dysregulated glucagon secretion deteriorates glycemic control in type 1 and type 2 diabetes. Although insulin is known to regulate glucagon secretion via its cognate receptor (insulin receptor, INSR) in pancreatic alpha cells, the role of downstream proteins and signaling pathways underlying insulin's activities are not fully defined. Using in vivo (knockout) and in vitro (knockdown) studies targeting insulin receptor substrate (IRS) proteins, we compared the relative roles of IRS1 and IRS2 in regulating alpha cell function. Alpha cell-specific IRS1-knockout mice exhibited glucose intolerance and inappropriate glucagon suppression during glucose tolerance tests. In contrast, alpha cell-specific IRS2-knockout animals manifested normal glucose tolerance and suppression of glucagon secretion after glucose administration. Alpha cell lines with stable IRS1 knockdown could not repress glucagon mRNA expression and exhibited a reduction in phosphorylation of AKT Ser/Thr kinase (AKT, at Ser-473 and Thr-308). AlphaIRS1KD cells also displayed suppressed global protein translation, including reduced glucagon expression, impaired cytoplasmic Ca2+ response, and mitochondrial dysfunction. This was supported by the identification of novel IRS1-specific downstream target genes, Trpc3 and Cartpt, that are associated with glucagon regulation in alpha cells. These results provide evidence that IRS1, rather than IRS2, is a dominant regulator of pancreatic alpha cell function.

Defective insulin receptor signaling in hPSCs skews pluripotency and negatively perturbs neural differentiation

Human embryonic stem cells are a type of pluripotent stem cells (hPSCs) that are used to investigate their differentiation into diverse mature cell types for molecular studies. The mechanisms underlying insulin receptor (IR)-mediated signaling in the maintenance of human pluripotent stem cell (hPSC) identity and cell fate specification are not fully understood. Here, we used two independent shRNAs to stably knock down IRs in two hPSC lines that represent pluripotent stem cells and explored the consequences on expression of key proteins in pathways linked to proliferation and differentiation. We consistently observed lowered pAKT in contrast to increased pERK1/2 and a concordant elevation in pluripotency gene expression. ERK2 chromatin immunoprecipitation, luciferase assays, and ERK1/2 inhibitors established direct causality between ERK1/2 and OCT4 expression. Of importance, RNA sequencing analyses indicated a dysregulation of genes involved in cell differentiation and organismal development. Mass spectrometry–based proteomic analyses further confirmed a global downregulation of extracellular matrix proteins. Subsequent differentiation toward the neural lineage reflected alterations in SOX1⁺PAX6⁺ neuroectoderm and FOXG1⁺ cortical neuron marker expression and protein localization. Collectively, our data underscore the role of IR-mediated signaling in maintaining pluripotency, the extracellular matrix necessary for the stem cell niche, and regulating cell fate specification including the neural lineage.

Relationship of depth of invasion to survival outcomes and patterns of recurrence for T3 oral tongue squamous cell carcinoma

INTRODUCTION

Current research is elucidating how the addition of depth of invasion (DOI) to the 8th edition of the American Joint Committee on Cancer (AJCC) TNM staging for oral cavity squamous cell carcinoma influences its prognostic accuracy. However, there is limited research on survival in pT3N0M0 oral tongue SCC (OTSCC) patients when stratifying by DOI.

OBJECTIVES

Determine 5-year overall survival (OS), and cancer-specific survival (CSS) for patients with pT3N0M0 oral OTSCC based on shallow DOI (<10 mm) and deep DOI (10-20 mm).

METHODS

Retrospective review involving three tertiary care cancer centers in North America. cT3N0M0 OTSCC patients receiving primary surgical treatment from 2004 to 2018 were identified. Inclusion: age > 18 years old and confirmation of pT3N0M0 OTSCC on surgical pathology. Exclusion: patients undergoing palliative treatment or previous head and neck surgery/radiotherapy. Analysis comprised two groups: shallow pT3 (tumor diameter > 4 cm, DOI < 10 mm) and deep pT3 (DOI 10 mm-20 mm).

RESULTS

One hundred and four patients with pT3N0M0 OTSCC were included. Mean age was 59.1 years (range: 18-80.74). Age, gender, and Charlson Comorbidity Index were similar between the two groups (p > 0.05). Recurrence, LVI, PNI, and positive margins were more common in deep T3 tumors (P < 0.05). 5-year OS (50% vs 26%, p = 0.006) and CSS (72% vs 24%, p = 0.005) were worse in deep pT3 tumors. Deep pT3 disease was an independent predictor of OS (p = 0.004) and CSS (p = 0.01) on Cox-Regression analysis.

CONCLUSION

DOI is an independent predictor of poor survival in pT3N0M0 OTSCC patients. Consideration should be given to escalating adjuvant therapy for deep pT3N0M0 OTSCC patients.

Essential roles of insulin and IGF-1 receptors during embryonic lineage development

The insulin and insulin-like growth factor-1 (IGF-1) receptors are important for the growth and development of embryonic tissues. To directly define their roles in the maintenance of pluripotency and differentiation of stem cells, we knocked out both receptors in induced pluripotent stem cells (iPSCs). iPSCs lacking both insulin and IGF-1 receptors (double knockout, DKO) exhibited preserved pluripotency potential despite decreased expression of transcription factors Lin28a and Tbx3 compared to control iPSCs. While embryoid body and teratoma assays revealed an intact ability of DKO iPSCs to form all three germ layers, the latter were composed of primitive neuroectodermal tumor-like cells in the DKO group. RNA-seq analyses of control vs DKO iPSCs revealed differential regulation of pluripotency, developmental, E2F1, and apoptosis pathways. Signaling analyses pointed to downregulation of the AKT/mTOR pathway and upregulation of the STAT3 pathway in DKO iPSCs in the basal state and following stimulation with insulin/IGF-1. Directed differentiation toward the three lineages was dysregulated in DKO iPSCs, with significant downregulation of key markers (Cebpα, Fas, Pparγ, and Fsp27) in adipocytes and transcription factors (Ngn3, Isl1, Pax6, and Neurod1) in pancreatic endocrine progenitors. Furthermore, differentiated pancreatic endocrine progenitor cells from DKO iPSCs showed increased apoptosis. We conclude that insulin and insulin-like growth factor-1 receptors are indispensable for normal lineage development and perturbations in the function and signaling of these receptors leads to upregulation of alternative compensatory pathways to maintain pluripotency.

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Insulin and IGF-1 receptor signaling regulate the expression of pluripotency genes Lin28 and Tbx3.

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The STAT3 pathway is upregulated in DKO iPSCs.

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RNA-seq analyses revealed key developmental and apoptosis pathways regulated by insulin and IGF-1 receptors.

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Lineage development was dysregulated in DKO iPSCs with downregulation of key mesoderm and endodermal markers.

DAP derived fatty acid amide organogelators as novel carrier for drug incorporation and pH-responsive release

Low-molecular mass fatty acid amide gelators were synthesized using 2,6-diaminopyridine as a linker and alkyl chains of varying lengths. The prepared organogel-elusions are able to trap and release ibuprofen molecule without changing its structure and activity.

Two-point versus three-point fixation in the management of zygomaticomaxillary complex fractures: A comparative study

Introduction:

The zygoma plays an important role in the facial contour for both cosmetic and functional reasons; therefore, zygomatic bone injuries should be properly diagnosed and adequately treated. Comparison of various surgical approaches and their complications can only be done objectively using outcome measurements that require a protocol for management and long-term follow-up. The objectives of this study were to compare the efficacy of zygomatic bone after treatment with open reduction internal fixation (ORIF) using two-point fixation and ORIF using three-point fixation and compare the outcome of two procedures.

Materials and Methods:

Twenty patients were randomly divided equally into two groups. In Group A, ten patients were treated by ORIF using two-point fixation by miniplates and in Group B, ten patients were treated by ORIF using three-point fixation by miniplates. They were evaluated with their advantages and disadvantages and the difference between the two groups was observed.

Results:

We found that postoperative facial and neurological complications are minimum in two-point fixation group. Based on this study, open reduction and internal fixation using two-point fixation by miniplates is sufficient and the best available treatment of choice for the management of zygomaticomaxillary complex fractures.

Discussion:

Alignment of the fracture at three points and fixation at two stable points provide the most accurate and satisfactory postoperative results. Two-point interosseous fixation at the “buttress” fracture and the frontozygomatic (FZ) fracture is suitable for routine surgery. The results of these studies confirm with the present study that two-point fixation provided better stability in patients with clinical and radiological evidence of fracture in FZ and zygomaticomaxillary buttress area.

Breast cancer risk factor evaluation in a Western Himalayan state: A case-control study and comparison with the Western World

Context:

Breast cancer incidence is increasing rapidly in India. The lifestyle, built, genetic makeup, reproductive and breastfeeding patterns are quite different in Indian females when compared to the Western population. Generalizing the Western data to the population residing in the Himalayan region would breed inaccuracies.

Aim:

The aim of our study was to identify risk factors in our own population in a Western Himalayan state of Himachal Pradesh, India.

Subjects and Methods:

A case–control study with 377 cases of invasive breast cancer and 346 hospital-based controls was conducted for 1 year. The data were collected by interviewing the individuals during their visit to hospital using a questionnaire. The data were analyzed using standard statistical techniques using SPSS version 17 software.

Results:

Factors found to have strong association with invasive breast cancer on multivariate analysis are late age at first childbirth >30 years, which is the strongest risk factor associated, late age of menopause > 50 years, high socioeconomic class, and age of female above 50 years.

Conclusion:

In our females, age >50 years, late age of menopause (>50 years), late age at first childbirth (>30 years), and high socioeconomic status were found to be major risk factors associated with breast cancer. Several factors implicated in the Western data were not found to be significant in our study. We need to identify such aspects in reproductive and breastfeeding patterns of women and spread awareness regarding the same.

A Prospective Observational Study Comparing Long-Course Conventional Neoadjuvant Chemoradiotherapy with Short-Course Radiotherapy Followed by Consolidation Chemotherapy with Delayed Surgery in Locally Advanced Rectal Cancer

Background  Polish and Australian randomized studies compared short-course radiotherapy (RT) with immediate surgery and long-course chemoradiotherapy (CRT) with delayed surgery. In these studies, similar long-term survival and local control have been reported for both these approaches, but pathological complete response (pCR) is not better with short-course RT. Moreover, studies have shown better tumor downstaging with delayed surgery. In this context, the use of short-course RT with delayed surgery may have some advantages and needs to be tested in clinical trials. Patients and Methods  This was a two-arm, prospective, observational study, in which preoperative short-course RT followed by two cycles of chemotherapy was compared with the conventional neoadjuvant CRT in locally advanced rectal cancer. The primary end points were the rate of complete response and toxicity profile. The secondary end points were the rate of R0 resection, overall survival, and progression-free survival. The data obtained from the two arms were analyzed using Pearson's chi-square test to determine the statistical significance between the two treatment arms. Results  The pCR rate was 6.7% in the study arm and 0 in the control arm ( p = 0.343). The RO resection rates were 92.8 and 92.3% in the study and control arms, respectively. The rates of grade 3and 4 acute toxicity in the study and control arms were 14.2 and 61.5%, respectively ( p = 0.011). The rates of grade 3 and 4 late toxicity in the study and control arms were 21.4 and 15.3%, respectively ( p = 0.686). Conclusions  The pCR rates and the late toxicities in both arms are comparable. The major advantages of the 5 × 5 Gy regimen with chemotherapy in a neoadjuvant setting are a significant reduction in acute toxicities and better patient compliance along with similar efficacy as that of the standard regimen.

Potential of graphene-based materials to combat COVID-19: properties, perspectives, and prospects

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a new virus in the coronavirus family that causes coronavirus disease (COVID-19), emerges as a big threat to the human race. To date, there is no medicine and vaccine available for COVID-19 treatment. While the development of medicines and vaccines are essentially and urgently required, what is also extremely important is the repurposing of smart materials to design effective systems for combating COVID-19. Graphene and graphene-related materials (GRMs) exhibit extraordinary physicochemical, electrical, optical, antiviral, antimicrobial, and other fascinating properties that warrant them as potential candidates for designing and development of high-performance components and devices required for COVID-19 pandemic and other futuristic calamities. In this article, we discuss the potential of graphene and GRMs for healthcare applications and how they may contribute to fighting against COVID-19.

Leptin Receptor Signaling Regulates Protein Synthesis Pathways and Neuronal Differentiation in Pluripotent Stem Cells

The role of leptin receptor (OB-R) signaling in linking pluripotency with growth and development and the consequences of dysfunctional leptin signaling on progression of metabolic disease is poorly understood. Using a global unbiased proteomics approach we report that embryonic fibroblasts (MEFs) carrying the db/db mutation exhibit metabolic abnormalities, while their reprogrammed induced pluripotent stem cells (iPSCs) show altered expression of proteins involved in embryonic development. An upregulation in expression of eukaryotic translation initiation factor 4e (Eif4e) and Stat3 binding to the Eif4e promoter was supported by enhanced protein synthesis in mutant iPSCs. Directed differentiation of db/db iPSCs toward the neuronal lineage showed defects. Gene editing to correct the point mutation in db/db iPSCs using CRISPR-Cas9, restored expression of neuronal markers and protein synthesis while reversing the metabolic defects. These data imply a direct role for OB-R in regulating metabolism in embryonic fibroblasts and key developmental pathways in iPSCs.

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Pluripotency markers are decreased in db/db iPSCs (lacking functional OB-R)

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Mouse db/db iPSCs exhibit higher protein synthesis mediated by the Stat3/Eif4e axis

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OB-R signaling regulates neuronal development markers—NOGGIN, NESTIN, GFAP

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CRISPR correction reverses defects in db/db iPSCs

Tissue-Specific Fructose Metabolism in Obesity and Diabetes

PURPOSE OF REVIEW

The objective of this review is to provide up-to-date and comprehensive discussion of tissue-specific fructose metabolism in the context of diabetes, dyslipidemia, and nonalcoholic fatty liver disease (NAFLD).

RECENT FINDINGS

Increased intake of dietary fructose is a risk factor for a myriad of metabolic complications. Tissue-specific fructose metabolism has not been well delineated in terms of its contribution to detrimental health effects associated with fructose intake. Since inhibitors targeting fructose metabolism are being developed for the management of NAFLD and diabetes, it is essential to recognize how inability of one tissue to metabolize fructose may affect metabolism in the other tissues. The primary sites of fructose metabolism are the liver, intestine, and kidney. Skeletal muscle and adipose tissue can also metabolize a large portion of fructose load, especially in the setting of ketohexokinase deficiency, the rate-limiting enzyme of fructose metabolism. Fructose can also be sensed by the pancreas and the brain, where it can influence essential functions involved in energy homeostasis. Lastly, fructose is metabolized by the testes, red blood cells, and lens of the eye where it may contribute to infertility, advanced glycation end products, and cataracts, respectively. An increase in sugar intake, particularly fructose, has been associated with the development of obesity and its complications. Inhibition of fructose utilization in tissues primary responsible for its metabolism alters consumption in other tissues, which have not been traditionally regarded as important depots of fructose metabolism.

Systems approach for assessment of maternal deaths in Rajasthan: A feasibility study

Background

High maternal mortality in the state like Rajasthan, which is at second rank in terms of high Maternal Mortality Ratio (MMR) in India, require concentrated efforts in this direction The objectives of this study were to assess the magnitude and trend of maternal death and underlying factors contributing to maternal deaths in Rajasthan and to identify barriers and challenges in reporting maternal deaths in Rajasthan.

Methods

Data related to maternal deaths, cause of deaths and live births were retrieved from official Government sources and MMR was calculated. To find out the underlying factors contributing to maternal deaths, Verbal Autopsies were conducted through household surveys. In-depth interviews of health care staff were conducted to carry out the 'SWOT' analysis in order to identify the barriers in reporting maternal deaths. Data was analysed using SPSS version 23.

Results

A total of 7185 maternal deaths were reported from Rajasthan in last five years. The mean age of mothers was 25.18±4.98 years. Haemorrhage were reported as most common cause of maternal death (17%) followed by Severe hypertension or fits (8%) and obstructed labour (2%). The median duration of hospital stay was 23 hours (IQR=7.5-70). Maximum deaths were reported during post-partum period (61%), while around one fourth of the deaths happened during delivery.

Conclusions

The discrepancies were observed in the reporting of number and causes of maternal deaths. The trend and forecasted figures were quite different from the published National and State level reports in this regard.

Key messages

need to streamline and strengthen the Maternal Deaths Surveillance and Response to track the number of deaths and get the exact information about the underlying factors contributing to them. Effective strategies can be developed to reduce the Maternal Deaths in the State.

Prolonged persistence of SARS-CoV-2 in the upper respiratory tract of asymptomatic infected individuals

BACKGROUND

Duration of persistence of SARS-CoV-2 in the upper respiratory tract of infected individuals has important clinical and epidemiological implications.

AIM

We aimed to establish the duration and risk factors for persistence of SARS-CoV-2 in the upper respiratory tract of asymptomatic infected individuals.

METHODS

Data of repeat rRT-PCR (real-time reverse transcription-polymerase chain reaction) test done for SARS-CoV-2 infected individuals at our institute at Jodhpur, India were analysed from 19 March to 21 May 2020. Duration of virus persistence was estimated with parametric regression models based on weibull, log-normal, log-logistic, gamma and generalized gamma distributions. Factors associated with prolonged viral persistence were analysed with the best-fitting model.

RESULTS

Fifty-one SARS-CoV-2 infected individuals with repeat rRT-PCR test were identified with 44 asymptomatics. The asymptomatic individuals had median virus persistence duration of 8.87 days (95% CI: 7.65-10.27) and 95 percentile duration of 20.70 days (95% CI: 16.08-28.20). The overall median virus persistence including both symptomatic and asymptomatic individuals was found to be 9.18 days (95% CI: 8.04-10.48). Around one-fourth asymptomatics (10/44) demonstrated SARS-CoV-2 persistence beyond 2 weeks. Age <60 years and local transmission were found to be significantly associated with longer virus persistence among asymptomatic individuals on univariate regression but not in multivariate analysis.

CONCLUSION

Recommended home isolation duration for SARS-CoV-2 infected individuals in India should be extended from 17 days to at least 3 weeks. Prolonged persistence of SARS-CoV-2 in a considerable proportion of asymptomatic individuals merits attention with regard to ensuring universal infection prevention precautions irrespective of symptomatic status.

Structural, elastic, vibrational and optical properties of energetic material octanitrocubane studied from first-principles theory

We present a thorough density functional theory based computational study of crystalline properties of cubane caged potential energetic material octanitrocubane (ONC). As expected for a layered molecular solid, van der Waals corrections are inevitable and the same has been incorporated to capture the ground state properties more accurately. Study of Born effective charge and zone centered phonon frequencies using density functional perturbation theory reveals the important role of N2, N4 type nitrogen and associated oxygen atoms in contributing to the high intensity infrared modes. From the calculated electronic band structure we can conclude that ONC is an insulator with a band gap of 5.31 eV. The optical properties of ONC are found to be nearly isotropic in low energy region in spite of strong anisotropic crystal structure.