The prowess of metabolomics in cancer research: current trends, challenges and future perspectives.

Cancer due to its heterogeneous nature and large prevalence has tremendous socioeconomic impacts on populations across the world. Therefore, it is crucial to discover effective panels of biomarkers for diagnosing cancer at an early stage. Cancer leads to alterations in cell growth and differentiation at the molecular level, some of which are very unique. Therefore, comprehending these alterations can aid in a better understanding of the disease pathology and identification of the biomolecules that can serve as effective biomarkers for cancer diagnosis. Metabolites, among other biomolecules of interest, play a key role in the pathophysiology of cancer whose levels are significantly altered while 'reprogramming the energy metabolism', a cellular condition favored in cancer cells which is one of the hallmarks of cancer. Metabolomics, an emerging omics technology has tremendous potential to contribute towards the goal of investigating cancer metabolites or the metabolic alterations during the development of cancer. Diverse metabolites can be screened in a variety of biofluids, and tumor tissues sampled from cancer patients against healthy controls to capture the altered metabolism. In this review, we provide an overview of different metabolomics approaches employed in cancer research and the potential of metabolites as biomarkers for cancer diagnosis. In addition, we discuss the challenges associated with metabolomics-driven cancer research and gaze upon the prospects of this emerging field.

A single step and rapid protein extraction protocol developed for cell lines and tissues: Compatible for gel based and gel free proteomic approaches.

Proteins are crucial research molecules in modern biology. Almost every biological research area needs protein-based assays to answer the research questions. The study of the total protein content of a biological sample known as Proteomics, is one of the highly rated qualitative and quantitative approach to address numerous biological problems including clinical research. The key step to successfully generate high quality proteomics data is the efficient extraction of proteins from biological samples. Although different methods are in use for protein extraction from a wide variety of samples, however, because of their prolonged protocol and multiple steps involved, final protein yield is sacrificed. Here, we have shown the development of a simple single step method for extraction of proteins from mammalian cell lines as well as tissue samples in an effective and reproducible manner. This method is based on lysis of samples directly in a modified lysis buffer without CHAPS (7 M Urea, 2 M Thiourea, and 10 mM Tris-Cl; pH 8.5) that is compatible with gel based and gel free approaches. This developed protocol is reliable and should be useful for a wide range of proteomic studies involving various biological samples.

Plant Source Derived Compound Exhibited In Silico Inhibition of Membrane Glycoprotein In SARS-CoV-2: Paving the Way to Discover a New Class of Compound For Treatment of COVID-19.

SARS-CoV-2 is the virus responsible for causing COVID-19 disease in humans, creating the recent pandemic across the world, where lower production of Type I Interferon (IFN-I) is associated with the deadly form of the disease. Membrane protein or SARS-CoV-2 M proteins are known to be the major reason behind the lower production of human IFN-I by suppressing the expression of IFNß and Interferon Stimulated Genes. In this study, 7,832 compounds from 32 medicinal plants of India possessing traditional knowledge linkage with pneumonia-like disease treatment, were screened against the Homology-Modelled structure of SARS-CoV-2 M protein with the objective of identifying some active phytochemicals as inhibitors. The entire study was carried out using different modules of Schrodinger Suite 2020-3. During the docking of the phytochemicals against the SARS-CoV-2 M protein, a compound, ZIN1722 from Zingiber officinale showed the best binding affinity with the receptor with a Glide Docking Score of -5.752 and Glide gscore of -5.789. In order to study the binding stability, the complex between the SARS-CoV-2 M protein and ZIN1722 was subjected to 50 ns Molecular Dynamics simulation using Desmond module of Schrodinger suite 2020-3, during which the receptor-ligand complex showed substantial stability after 32 ns of MD Simulation. The molecule ZIN1722 also showed promising results during ADME-Tox analysis performed using Swiss ADME and pkCSM. With all the findings of this extensive computational study, the compound ZIN1722 is proposed as a potential inhibitor to the SARS-CoV-2 M protein, which may subsequently prevent the immunosuppression mechanism in the human body during the SARS-CoV-2 virus infection. Further studies based on this work would pave the way towards the identification of an effective therapeutic regime for the treatment and management of SARS-CoV-2 infection in a precise and sustainable manner.

Identification of potential plant-based inhibitor against viral proteases of SARS-CoV-2 through molecular docking, MM-PBSA binding energy calculations and molecular dynamics simulation.

The Coronavirus disease 2019 (COVID-19), caused by the novel coronavirus, SARS-CoV-2, has recently emerged as a pandemic. Here, an attempt has been made through in-silico high throughput screening to explore the antiviral compounds from traditionally used plants for antiviral treatments in India namely, Tea, Neem and Turmeric, as potential inhibitors of two widely studied viral proteases, main protease (Mpro) and papain-like protease (PLpro) of the SARS-CoV-2. Molecular docking study using BIOVIA Discovery Studio 2018 revealed, (-)-epicatechin-3-O-gallate (ECG), a tea polyphenol has a binding affinity toward both the selected receptors, with the lowest CDocker energy - 46.22 kcal mol-1 for SARS-CoV-2 Mpro and CDocker energy - 44.72 kcal mol-1 for SARS-CoV-2 PLpro, respectively. The SARS-CoV-2 Mpro complexed with (-)-epicatechin-3-O-gallate, which had shown the best binding affinity was subjected to molecular dynamics simulations to validate its binding affinity, during which, the root-mean-square-deviation values of SARS-CoV-2 Mpro-Co-crystal ligand (N3) and SARS-CoV-2 Mpro- (-)-epicatechin-3-O-gallate systems were found to be more stable than SARS-CoV-2 Mpro system. Further, (-)-epicatechin-3-O-gallate was subjected to QSAR analysis which predicted IC50 of 0.3281 nM against SARS-CoV-2 Mpro. Overall, (-)-epicatechin-3-O-gallate showed a potential binding affinity with SARS-CoV-2 Mpro and could be proposed as a potential natural compound for COVID-19 treatment.

The development and clinical applications of proteomics: an Indian perspective.

INTRODUCTION: Proteomic research has been extensively used to identify potential biomarkers or targets for various diseases. Advances in mass spectrometry along with data analytics have led proteomics to become a powerful tool for exploring the critical molecular players associated with diseases, thereby, playing a significant role in the development of proteomic applications for the clinic. AREAS COVERED: This review presents recent advances in the development and clinical applications of proteomics in India toward understanding various diseases including cancer, metabolic diseases, and reproductive diseases. Keywords combined with 'clinical proteomics in India' 'proteomic research in India' and 'mass spectrometry' were used to search PubMed. EXPERT OPINION: The past decade has seen a significant increase in research in clinical proteomics in India. This approach has resulted in the development of proteomics-based marker technologies for disease management in the country. The majority of these investigations are still in the discovery phase and efforts have to be made to address the intended clinical use so that the identified potential biomarkers reach the clinic. To move toward this necessity, there is a pressing need to establish some key infrastructure requirements and meaningful collaborations between the clinicians and scientists which will enable more effective solutions to address health issues specific to India.

A Compound Heterozygote for GCH1 Mutation Represents a Case of Atypical Dopa-Responsive Dystonia.

Dopa-responsive dystonia (DRD), a movement disorder, is characterized by young onset dystonia and dramatic response to levodopa treatment. However, the wide range of phenotypic spectrum of the disease often leads to misdiagnosis. DRD is usually caused by mutation in GCH1 gene coding for GTP cyclohydrolase 1 (GTPCH1) enzyme, which is involved in biosynthesis of tetrahydrobiopterin (BH4) and dopamine. In this study, the entire GCH1 gene was screened in 14 Indian DRD patients and their family members. A family was identified where the proband was found to be a compound heterozygote for GCH1 (p.R184H and p.V204I) variants; the former variant being inherited from the father and the latter from the mother. All other family members harboring one of these GCH1 variants were asymptomatic except for one (heterozygous for p.R184H) who was diagnosed with DRD. In silico analyses predicted these two variants to be pathogenic and disruptive to GCH1enzymatic activity. This proband was misdiagnosed as cerebral palsy and remained untreated for 25 years. He developed retrograde movements and gait problems in lower limbs, deformity in upper limbs, and difficulty in swallowing, and became mute. However, most of his symptoms were alleviated upon levodopa administration. Our study confirms the variability of DRD phenotype and the reduced penetrance of GCH1 mutations. It also emphasizes the need of molecular diagnostic test and L-dopa trial especially for those with atypical DRD phenotype.

Genetic screening of THAP1 in primary dystonia patients of India.

BACKGROUND: Primary Dystonia is a common movement disorder manifested by dystonic symptoms only. DYT6, a major genetic factor, plays a significant role in primary pure dystonia pathogenesis. In this study we analyzed THAP1 (DYT 6) gene in primary pure dystonia patients, which has been widely studied in other populations but not in Indians. METHODS: The study cohort contained 227 index primary pure dystonia patients with the involvement of cervical region and 254 neurologically control individuals collected from East Indian population. All three exons of THAP1 and their flanking sequences, including exon-intron boundaries, were screened by PCR, DNA sequencing and/or RFLP analysis. RESULTS: A total of three nucleotide variants were detected, which include a reported missense mutation (c.427 A>G; p.Met143Val) in a juvenile onset generalized dystonia patient, a novel frameshift deletion mutation (c.208-209 ΔAA; p.K70VfsX15) in a juvenile onset cervical dystonia patient and a rare variant in 3' UTR of THAP1 (c.*157 T>C) in an adult-onset blepharospasm patient. In addition, two SNPs (rs71521601 and rs111989331) were detected both in the patients and controls with the major allele of the latter being significantly over represented in the patients. CONCLUSIONS: Our study suggests that the THAP1 is likely to have a causative role in the pathogenesis of Indian primary pure dystonia patients. Though the phenotypic spectrum is extensively diverse, the cervical involvement with dystonic tremor and speech problem is common amongst the patients harboring mutations.

Metallomic Biomarkers in Cerebrospinal fluid and Serum in patients with Parkinson's disease in Indian population.

Parkinson's disease (PD) is a neurodegenerative disease with the absence of markers for diagnosis. Several studies on PD reported the elements imbalance in biofluids as biomarkers. However, their results remained inconclusive. This study integrates metallomics, multivariate and artificial neural network (ANN) to understand element variations in CSF and serum of PD patients from the largest cohort of Indian population to solve the inconsistent results of previous studies. Also, this study is aimed to (1) ascertain a common element signature between CSF and serum. (2) Assess cross sectional element variation with clinical symptoms. (3) Develop ANN models for rapid diagnosis. A metallomic profile of 110 CSF and 530 serum samples showed significant variations in 10 elements of CSF and six in serum of patients compared to controls. Consistent variations in elements pattern were noticed for Calcium, Magnesium and Iron in both the fluids of PD, which provides feasible diagnosis from serum. Furthermore, implementing multivariate analyses showed clear classification between normal and PD in both the fluids. Also, ANN provides 99% accuracy in detection of disease from CSF and serum. Overall, our analyses demonstrate that elements profile in biofluids of PD will be useful in development of diagnostic markers for PD.

Occurrence of GCH1 gene mutations in a group of Indian dystonia patients.

The aim of this study is to examine the role of GCH1 among Indians affected with dopa responsive dystonia (DRD) and early onset Parkinson's disease (EOPD). The patients (n = 76 including 19 DRD and 36 EOPD) and controls (n = 138) were screened for variants in GCH1 by PCR amplification of exons, splice junctions and 1 kb upstream region followed by SSCP and DNA sequencing. Four novel variants (p.Met1Val, p.Val204_205del, IVS3+68A>G, and IVS5-6T>G) were identified in 10 patients but not in the controls. In addition to two nonsynonymous changes, identified in four DRD patients in heterozygous condition, one intronic variant (IVS5-6T>G) could be linked to pathogenesis of the disease since it has the potential of altering the splice site as assessed by in silico analysis. Patients carrying different nonsynonymous variants had remarkable variation in clinical phenotype. Consistent with earlier reports, severity of clinical phenotype and the age of onset varied among family members harboring the same mutation. No mutation was detected in the EOPD patients. Three novel mutations in GCH1 gene have been found and are shown to be associated with variable clinical phenotypes mostly within the spectrum of DRD. The mutations identified represent 15.79% (3/19) of east Indian DRD patient cohort.

Molecular pathogenesis of Parkinson's disease: identification of mutations in the Parkin gene in Indian patients.

Parkinson's disease (PD), the second most common neurodegenerative disorder, affects at least 1% of the population over the age of 50. However, very little information is available regarding the molecular basis of PD among Indians. Since the largest number of mutations have been detected in the Parkin gene among all known PD loci, we aim to use Parkin as the candidate gene to assess its role in PD-related pathogenesis in Indian patients. A total of 138 PD patients, with the mean age of onset being 47+/-14 (age range, 5-77 years), and 100 controls were recruited for the study from eastern India. Parkin mutations were detected by amplification of exons of the gene along with the flanking splice junctions by polymerase chain reaction, single-stranded conformation polymorphism and DNA sequencing. A total of 18 nucleotide variants including six novel changes were detected. These include five missense mutations (Gln34Arg, Arg42Cys, Arg42His, Tyr143Cys and Arg334Cys) detected in eight patients in heterozygous condition and a homozygous deletion encompassing exons 3 and 4 in two sibs affected with PD. Clinical features of the Parkin mutants were compared. Among eastern Indian PD patients, mutation in Parkin was identified in 7.24% cases.