Possibility of averting cytokine storm in SARS-COV 2 patients using specialized pro-resolving lipid mediators.

Fatal "cytokine storms (CS)" observed in critically ill COVID-19 patients are consequences of dysregulated host immune system and over-exuberant inflammatory response. Acute respiratory distress syndrome (ARDS), multi-system organ failure, and eventual death are distinctive symptoms, attributed to higher morbidity and mortality rates among these patients. Consequent efforts to save critical COVID-19 patients via the usage of several novel therapeutic options are put in force. Strategically, drugs being used in such patients are dexamethasone, remdesivir, hydroxychloroquine, etc. along with the approved vaccines. Moreover, it is certain that activation of the resolution process is important for the prevention of chronic diseases. Until recently Inflammation resolution was considered a passive process, rather it's an active biochemical process that can be achieved by the use of specialized pro-resolving mediators (SPMs). These endogenous mediators are an array of atypical lipid metabolites that include Resolvins, lipoxins, maresins, protectins, considered as immunoresolvents, but their role in COVID-19 is ambiguous. Recent evidence from studies such as the randomized clinical trial, in which omega 3 fatty acid was used as supplement to resolve inflammation in COVID-19, suggests that direct supplementation of SPMs or the use of synthetic SPM mimetics (which are still being explored) could enhance the process of resolution by regulating the aberrant inflammatory process and can be useful in pain relief and tissue remodeling. Here we discussed the biosynthesis of SPMs, & their mechanistic pathways contributing to inflammation resolution along with sequence of events leading to CS in COVID-19, with a focus on therapeutic potential of SPMs.

Deciphering the Link Between ERUPR Signaling and MicroRNA in Pathogenesis of Alzheimer's Disease.

Alzheimer's disease (AD) is a neurodegenerative proteinopathic disease. The deposits of misfolded Amyloid ß and Tau proteins in the brain of patients with AD suggest an imbalance in endoplasmic reticulum (ER) proteostasis. ER stress is due to accumulation of aberrant proteins in the ER lumen, which then leads to activation of three sensor protein pathways that ultimately evokes the adaptive mechanism of the unfolded protein response (UPR). The UPR mechanism operates via adaptive UPR and the apoptotic UPR. Adaptive UPR tries to restore imbalance in ER hemostasis by decreasing protein production, enhanced chaperone involvement to restore protein folding, misfolded protein decay by proteasome, and suppression of ribosomal translation ultimately relieving the excessive protein load in the ER. Subsequently, apoptotic UPR activated under severe ER stress conditions triggers cell death. MicroRNAs (miRNAs) are small non-coding protein causing dysregulated translational of mRNAs in a sequential manner. They are considered to be critical elements in the maintenance of numerous cellular activities, hemostasis, and developmental processes. Therefore, upregulation or downregulation of miRNA expression is implicated in several pathogenic processes. Evidence from scientific studies suggest a strong correlation between ERUPR signaling and miRNA dysregulation but the research done is still dormant. In this review, we summarized the cross-talk between ER stress, and the UPR signaling processes and their role in AD pathology by scrutinizing and collecting information from original research and review articles.

Regulatory roles of MicroRNA in shaping T cell function, differentiation and polarization.

T lymphocytes are an integral component of adaptive immunity with pleotropic effector functions. Impairment of T cell activity is implicated in various immune pathologies including autoimmune diseases, AIDS, carcinogenesis, and periodontitis. Evidently, T cell differentiation and function are under robust regulation by various endogenous factors that orchestrate underlying molecular pathways. MicroRNAs (miRNA) are a class of noncoding, regulatory RNAs that post-transcriptionally control multiple mRNA targets by sequence-specific interaction. In this article, we will review the recent progress in our understanding of miRNA-gene networks that are uniquely required by specific T cell effector functions and provide miRNA-mediated mechanisms that govern the fate of T cells. A subset of miRNAs may act in a synergistic or antagonistic manner to exert functional suppression of genes and regulate pathways that control T cell activation and differentiation. Significance of T cell-specific miRNAs and their dysregulation in immune-mediated diseases is discussed. Exosome-mediated horizontal transfer of miRNAs from antigen presenting cells (APCs) to T cells and from one T cell to another T cell subset and their impact on recipient cell functions is summarized.

Current molecular diagnostics assays for SARS-CoV-2 and emerging variants.

Since the SARS-CoV-2 virus triggered the beginning of the COVID-19 pandemic, scientists, government officials, and healthcare professionals around the world recognized the need for accessible, affordable, and accurate testing to predict and contain the spread of COVID-19. In the months that followed, research teams designed, tested, and rolled out hundreds of diagnostic assays, each with different sampling methods, diagnostic technologies, and sensitivity levels. However, the contagious virus continued to spread; SARS-CoV-2 travelled through airborne particles and spread rapidly, despite the widening use of diagnostic assays. As the pandemic continued, hundreds of millions of people contracted COVID-19 and millions died worldwide. With so many infections, SARS-CoV-2 received many opportunities to replicate and mutate, and from these mutations emerged more contagious, deadly, and difficult-to-diagnose viral mutants. Each change to the viral genome presented potential added challenges to containing the virus, and as such, researchers have continued developing and improving testing methods to keep up with COVID-19. In this chapter, we examine several SARS-CoV-2 variants that have emerged during the pandemic. Additionally, we discuss a few major COVID-19 diagnostic technique categories, including those involving real-time PCR, serology, CRISPR, and electronic biosensors. Finally, we address SARS-CoV-2 variants and diagnostic assays in the age of COVID-19 vaccines.

Honey-based trap for Pseudomonas: a sustainable prototype for water disinfection.

This paper introduces a novel prototype for the removal of Pseudomonas from water samples. Bacterial cells have the tendency to get attracted towards specific chemicals (chemotaxis); a 'honey-based trap' (henceforth, addressed as 'honey-trap') strip was conceptualized by integrating a combination of serine, pseudomonas-specific chemoattractant and honey to attract and inhibit the bacteria in situ. Honey, a natural antimicrobial agent, has garnered the attention as an effective inhibitor for Pseudomonal biofilms and wound infections. Dipping serine side of the strip attracted bacteria towards honey-trap, whereby the porous nature of the strip facilitated the 'trapping' and subsequent diffusion of the bacterial cells towards honey-adsorbed end of the strip. This 'honey-trap' reportedly leads to the targeted elimination of Pseudomonas, hence facilitating its removal. The percentage efficacy of this 'honey-trap' device is 96% with a log reduction equivalent to 1.6 within a time frame of 2 h. Pseudomonas aeruginosa, although, not a natural contaminant of potable water, enters circulation due to improperly maintained plumbing fixtures and storage facilities. Honey-trap strip is an easy to use, biodegradable and cost-effective sustainable solution, and thus a scaled-up version of this device may enable substantial improvement in quality of potable water. Schematics showing the preparation and working of the Pseudomonas Honey-trap. Serine as an attractant and honey as an inhibitor was absorbed on filter strips (HT) for use. The strip was dipped in culture from serine end. After different time period of incubation, difference in bacterial load was confirmed by measuring the electrical conductivity and OD600nm of the culture. Additionally, inhibitory effect of HS was confirmed by placing the strip incubated with culture on agar plates and differences in bacterial lawn were monitored. Removal of bacterial cells from the suspension was also confirmed using absorption spectroscopy.

Emerging Protein Biomarkers in Epithelial Ovarian Cancer Prognosis: An Aid for Multivariate Indexing.

Epithelial ovarian cancer (EOC) is a chronic and degenerative disease propelled by a mutation in BRCA1/2 genes, familial history, smoking and polycystic ovary syndrome. Although the lifetime risk of ovarian cancer is low, yet it is the fifth leading cause of cancer-related deaths. Surprisingly, EOC represents 90% of all ovarian cancers, out of which 70% of women are diagnosed with the malignancy at its advanced III-IV stages. Early detection may increase the life expectancy up to 5 years. Thus, it has become the need of the hour to attain improvement of clinical outcomes of EOC and improve the life expectancy of patients. A plethora of proteins in different biological fluids may serve as prospective identifiers for the disease. Over the years, accurate identification of proteins secreted by EOC cells has been perfected by in vitro and in silico state-of-theart technologies. Multivariate test, consisting of histo-pathological data in combination with protein biomarker panel has paved way for enhanced and accurate assessment of EOC; still, there is a chance of further improvement. This review encompasses the advances made in ovarian cancer biomarker discovery and demonstrates their potential usefulness for the design of early diagnostics of EOC.

Molecular Diagnostic Tools for the Detection of SARS-CoV-2.

The pandemic causing severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has globally infected more than 50 million people and ∼1.2 million have succumbed to this deadly pathogen. With the vaccine trials still in clinical phases, mitigation of Coronavirus Disease 2019 (COVID-19) relies primarily on robust virus detection methods and subsequent quarantine measures. Hence, the importance of rapid, affordable and reproducible virus testing will serve the need to identify and treat infected subjects in a timely manner. Based on the type of diagnostic assay, the primary targets are viral genome (RNA) and encoded proteins. Currently, COVID-19 detection is performed using various molecular platforms as well as serodiagnostics that exhibit approximately 71% sensitivity. These methods encounter several limitations including sensitivity, specificity, availability of skilled expertise and instrument access. Saliva-based COVID-19 diagnostics are emerging as a superior alternative to nasal swabs because of the ease of sample collection, no interaction during sampling, and high viral titers during early stages of infection. In addition, SARS-CoV-2 is detected in the environment as aerosols associated with suspended particulate matter. Designing virus detection strategies in diverse samples will allow timely monitoring of virus spread in humans and its persistence in the environment. With the passage of time, advanced technologies are overcoming limitations associated with detection. Enhanced sensitivity and specificity of next-generation diagnostics are key features enabling improved prognostic care. In this comprehensive review, we analyze currently adopted advanced technologies and their concurrent use in the development of diagnostics for SARS-CoV-2 detection.

Improved air quality and associated mortalities in India under COVID-19 lockdown.

India enforced stringent lockdown measures on March 24, 2020 to mitigate the spread of the Severe Acute Respiratory Syndrome Coronovirus-2 (SARS-CoV-2). Here, we examined the impact of lockdown on the air quality index (AQI) [including ambient particulate matter (PM10 and PM2.5), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO), ozone (O3), and ammonia (NH3)] and tropospheric NO2 and O3 densities through Sentinel-5 satellite data approximately 1 d post-lockdown and one month pre-lockdown and post-lockdown. Our findings revealed a marked reduction in the ambient AQI (estimated mean reduction of 17.75% and 20.70%, respectively), tropospheric NO2 density, and land surface temperature (LST) during post-lockdown compared with the pre-lockdown period or corresponding months in 2019, except for a few sites with substantial coal mining and active power plants. We observed a modest increase in the O3 density post-lockdown, thereby indicating improved tropospheric air quality. As a favorable outcome of the COVID-19 lockdown, road accident-related mortalities declined by 72-folds. Cities with poor air quality correlate with higher COVID-19 cases and deaths (r = 0.504 and r = 0.590 for NO2; r = 0.744 and r = 0.435 for AQI). Conversely, low mortality was reported in cities with better air quality. These results show a correlation between the COVID-19 vulnerable regions and AQI hotspots, thereby suggesting that air pollution may exacerbate clinical manifestations of the disease. However, a prolonged lockdown may nullify the beneficial environmental outcomes by adversely affecting socioeconomic and health aspects.

Predicting Diagnostic Potential of Cathepsin in Epithelial Ovarian Cancer: A Design Validated by Computational, Biophysical and Electrochemical Data.

BACKGROUND: Epithelial ovarian cancer remains one of the leading variants of gynecological cancer with a high mortality rate. Feasibility and technical competence for screening and detection of epithelial ovarian cancer remain a major obstacle and the development of point of care diagnostics (POCD) may offer a simple solution for monitoring its progression. Cathepsins have been implicated as biomarkers for cancer progression and metastasis; being a protease, it has an inherent tendency to interact with Cystatin C, a cysteine protease inhibitor. This interaction was assessed for designing a POCD module. METHODS: A combinatorial approach encompassing computational, biophysical and electron-transfer kinetics has been used to assess this protease-inhibitor interaction. RESULTS: Calculations predicted two cathepsin candidates, Cathepsin K and Cathepsin L based on their binding energies and structural alignment and both predictions were confirmed experimentally. Differential pulse voltammetry was used to verify the potency of Cathepsin K and Cathepsin L interaction with Cystatin C and assess the selectivity and sensitivity of their electrochemical interactions. Electrochemical measurements indicated selectivity for both the ligands, but with increasing concentrations, there was a marked difference in the sensitivity of the detection. CONCLUSIONS: This work validated the utility of dry-lab integration in the wet-lab technique to generate leads for the design of electrochemical diagnostics for epithelial ovarian cancer.

Xeno-miRNA in Maternal-Infant Immune Crosstalk: An Aid to Disease Alleviation.

Human milk is a complex liquid that contains multifaceted compounds which provide nutrition to infants and helps to develop their immune system. The presence of secretory immunoglobulins (IgA), leucocytes, lysozyme, lactoferrin, etc., in breast milk and their role in imparting passive immunity to infants as well as modulating development of an infant's immune system is well-established. Breast milk miRNAs (microRNAs) have been found to be differentially expressed in diverse tissues and biological processes during various molecular functions. Lactation is reported to assist mothers and their offspring to adapt to an ever-changing food supply. It has been observed that certain subtypes of miRNAs exist that are codified by non-human genomes but are still present in circulation. They have been termed as xeno-miRNA (XenomiRs). XenomiRs in humans have been found from various exogenous sources. Route of entry in human systems have been mainly dietary. The possibility of miRNAs taken up into mammalian circulation through diet, and thereby effecting gene expression, is a distinct possibility. This mechanism suggests an interesting possibility that dietary foods may modulate the immune strength of infants via highly specific post-transcriptional regulatory information present in mother's milk. This serves as a major breakthrough in understanding the fundamentals of nutrition and cross-organism communication. In this review, we elaborate and understand the complex crosstalk of XenomiRs present in mother's milk and their plausible role in modulating the infant immune system against infectious and inflammatory diseases.

CRISPR/Cas: An intriguing genomic editing tool with prospects in treating neurodegenerative diseases.

The CRISPR/Cas genome editing tool has led to a revolution in biological research. Its ability to target multiple genomic loci simultaneously allows its application in gene function and genomic manipulation studies. Its involvement in the sequence specific gene editing in different backgrounds has changed the scenario of treating genetic diseases. By unravelling the mysteries behind complex neuronal circuits, it not only paved way in understanding the pathogenesis of the disease but helped in the development of large animal models of different neuronal diseases; thereby opened the gateways of successfully treating different neuronal diseases. This review explored the possibility of using of CRISPR/Cas in engineering DNA at the embryonic stage, as well as during the functioning of different cell types in the brain, to delineate implications related to the use of this super-specialized genome editing tool to overcome various neurodegenerative diseases that arise as a result of genetic mutations.

Assessment of Occupational Health Hazards Due to Particulate Matter Originated from Spices.

Spices have been known for their various health activities; however, they also possess the allergic potential for the respiratory system and the skin as they are fine particulate matter. Persons involved in spice agriculture and food industries are at greater risk since they are exposed to a considerable amount of combustible dust, which may be the cause of fire and explosion and adversely affect the health. These workers may experience allergy, long-term and short-term respiratory issues including occupational asthma, dermatitis, etc. Some spices induce T cell-based inflammatory reaction upon contact recognition of the antigen. Antigen Presenting Cells (APC) on binding to the causative metabolite results in activation of macrophages by allergen cytokine interleukin (IL)-12 and tumor necrosis factor-beta (TNF). Cross-reactivity for protein allergens is another factor which seems to be a significant trigger for the stimulation of allergic reactions. Thus, it was imperative to perform a systematic review along with bioinformatics based representation of some evident allergens has been done to identify the overall conservation of epitopes. In the present manuscript, we have covered a multifold approach, i.e., to categorize the spice particles based on a clear understanding about nature, origin, mechanisms; to assess metabolic reactions of the particles after exposure as well as knowledge on the conditions of exposure along with associated potential health effects. Another aim of this study is to provide some suggestions to prevent and to control the exposure up to some extent.

The potential application of genome editing by using CRISPR/Cas9, and its engineered and ortholog variants for studying the transcription factors involved in the maintenance of phosphate homeostasis in model plants.

Phosphorus (P), an essential macronutrient, is pivotal for growth and development of plants. Availability of phosphate (Pi), the only assimilable P, is often suboptimal in rhizospheres. Pi deficiency triggers an array of spatiotemporal adaptive responses including the differential regulation of several transcription factors (TFs). Studies on MYB TF PHR1 in Arabidopsis thaliana (Arabidopsis) and its orthologs OsPHRs in Oryza sativa (rice) have provided empirical evidence of their significant roles in the maintenance of Pi homeostasis. Since the functional characterization of PHR1 in 2001, several other TFs have now been identified in these model plants. This raised a pertinent question whether there are any likely interactions across these TFs. Clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (Cas9) system has provided an attractive paradigm for editing genome in plants. Here, we review the applications and challenges of this technique for genome editing of the TFs for deciphering the function and plausible interactions across them. This technology could thus provide a much-needed fillip towards engineering TFs for generating Pi use efficient plants for sustainable agriculture. Furthermore, we contemplate whether this technology could be a viable alternative to the controversial genetically modified (GM) rice or it may also eventually embroil into a limbo.

Ultrasensitive sensor for detection of early stage chronic kidney disease in human.

A facile label free, ultrasensitive platform for a rapid detection of chronic kidney disease has been fabricated. Early intervention in patients with chronic kidney disease has the potential to delay, or even prevent, the development of end stage renal disease and complications, leading to a marked impact on life expectancy and quality of life. Thus, a potable electrochemical diagnostic biosensor has become an attractive option as electrochemical analysis is feasible to use for on-site detection of samples. In human, Cystatin C present in human body fluids is freely filtered by the glomerulus, but reabsorbed and catabolised by the renal tubules. Trace detectable amount is eliminated in urine, giving this molecular marker an edge over serum creatinine's disadvantages. A carboxyl functionalized multiwalled carbon nanotubes screen printed electrode was immobilized with papain (cysteine protease) where amino group of papain covalently bound carboxyl group on electrode surface by EDC (1-ethyl-3-(3-dimethylaminopropyl) carbodiimide) and NHS (N-hydroxysuccinimide) chemistry. The modifications on sensor surface were characterized by field emission scanning electron microscopy. Interaction between papain and chronic kidney disease specific biomarker, Cystatin C was detected by cyclic voltammetry and differential pulse voltammetry within 10min. The sensor is highly specific to Cystatin C and showed negligible response to non-specific macromolecules present in urine. The sensitivity of the sensor was 1583.49µAcm-2µg-1 and lower limit of detection of Cystatin C was found 0.58ngL-1 which presents as a promising platform for designing potable kidney disease detector.

SIZ1-mediated SUMOylation during phosphate homeostasis in plants: Looking beyond the tip of the iceberg.

Availability of phosphate (Pi) is often limited in rhizospheres in different agroclimatic zones and adversely affects growth and development of plants. To circumvent this impasse, there is an urgent need and global consensus to develop Pi use efficient crops. To achieve this goal, it is essential to identify the molecular entities that exert regulatory influences on the sensing and signaling cascade governing Pi homeostasis. SIZ1 encodes a small ubiquitin-like modifier (SUMO E3) ligase, and plays a pivotal role in the post-translational SUMOylation of proteins. In this review, we discuss the reverse genetics approach conventionally used for providing circumstantial evidence towards the regulatory influences of SIZ1 on several morphophysiological and molecular traits that govern Pi homeostasis in taxonomically diverse Arabidopsis thaliana (Arabidopsis) and Oryza sativa (rice) model species. However, the efforts have been rather modest in identifying SUMO protein targets that play key roles in the maintenance of Pi homeostasis in these model plants contrary to the plethora of them now known in lower organisms and animals. Therefore, to predict the SIZ1-mediated SUMOylome involved in Pi homeostasis, the state-of-the-art high-throughput technologies often used for animals thus provide an attractive paradigm towards achieving the long-term goal of developing Pi use efficient crops.

Gene Specific DNA Sensors for Diagnosis of Pathogenic Infections.

Gene specific DNA based sensors have potential applications for rapid and real time monitoring of hybridization signal with the target nucleic acid of pathogens. Different types of DNA based sensors and their applications have been studied for rapid and accurate detection of pathogens causing human diseases. These sensors are based on surface plasmon resonance, quantum-dots, molecular beacons, piezoelectric and electrochemical etc. Curbing epidemics at an early stage is one of the massive challenges in healthcare systems. Timely detection of the causative organism may provide a solution to restrain mortality caused by the disease. With the advent of interdisciplinary sciences, bioelectronics has emerged as an effective alternative for disease diagnostics. Gene specific DNA sensors present themselves as cost-effective, sensitive and specific platforms for detection of disease causing pathogens. The mini review explores different transducer based sensors and their potential in diagnosis of acute and chronic diseases.

Structural investigation of a novel N-acetyl glucosamine binding chi-lectin which reveals evolutionary relationship with class III chitinases.

The glycosyl hydrolase 18 (GH18) family consists of active chitinases as well as chitinase like lectins/proteins (CLPs). The CLPs share significant sequence and structural similarities with active chitinases, however, do not display chitinase activity. Some of these proteins are reported to have specific functions and carbohydrate binding property. In the present study, we report a novel chitinase like lectin (TCLL) from Tamarindus indica. The crystal structures of native TCLL and its complex with N-acetyl glucosamine were determined. Similar to the other CLPs of the GH18 members, TCLL lacks chitinase activity due to mutations of key active site residues. Comparison of TCLL with chitinases and other chitin binding CLPs shows that TCLL has substitution of some chitin binding site residues and more open binding cleft due to major differences in the loop region. Interestingly, the biochemical studies suggest that TCLL is an N-acetyl glucosamine specific chi-lectin, which is further confirmed by the complex structure of TCLL with N-acetyl glucosamine complex. TCLL has two distinct N-acetyl glucosamine binding sites S1 and S2 that contain similar polar residues, although interaction pattern with N-acetyl glucosamine varies extensively among them. Moreover, TCLL structure depicts that how plants utilize existing structural scaffolds ingenuously to attain new functions. To date, this is the first structural investigation of a chi-lectin from plants that explore novel carbohydrate binding sites other than chitin binding groove observed in GH18 family members. Consequently, TCLL structure confers evidence for evolutionary link of lectins with chitinases.

Crystallization and preliminary X-ray diffraction analysis of the complex of Kunitz-type tamarind trypsin inhibitor and porcine pancreatic trypsin.

The complex of Tamarindus indica Kunitz-type trypsin inhibitor and porcine trypsin has been crystallized by the sitting-drop vapour-diffusion method using ammonium acetate as precipitant and sodium acetate as buffer. The homogeneity of complex formation was checked by size-exclusion chromatography and further confirmed by reducing SDS-PAGE. The crystals diffracted to 2.0 angstrom resolution and belonged to the tetragonal space group P4(1), with unit-cell parameters a = b = 57.1, c = 120.1 angstrom. Preliminary X-ray diffraction analysis indicated the presence of one unit of inhibitor-trypsin complex per asymmetric unit, with a solvent content of 45%.

Isolation, purification, crystallization and preliminary crystallographic studies of chitinase from tamarind (Tamarindus indica) seeds.

A protein with chitinase activity has been isolated and purified from tamarind (Tamarindus indica) seeds. N-terminal amino-acid sequence analysis of this protein confirmed it to be an approximately 34 kDa endochitinase which belongs to the acidic class III chitinase family. The protein was crystallized by the vapour-diffusion method using PEG 4000. The crystals belonged to the tetragonal space group P4(1), with two molecules per asymmetric unit. Diffraction data were collected to a resolution of 2.6 A.