Dr. Anandkumar Tengli - Academia.edu (original) (raw)

Papers by Dr. Anandkumar Tengli

Frontiers in Endocrinology, 2021

Obesity is an excess accumulation of body fat. Its progression rate has remained high in recent y... more Obesity is an excess accumulation of body fat. Its progression rate has remained high in recent years. Therefore, the aim of this study was to diagnose important differentially expressed genes (DEGs) associated in its development, which may be used as novel biomarkers or potential therapeutic targets for obesity. The gene expression profile of E-MTAB-6728 was downloaded from the database. After screening DEGs in each ArrayExpress dataset, we further used the robust rank aggregation method to diagnose 876 significant DEGs including 438 up regulated and 438 down regulated genes. Functional enrichment analysis was performed. These DEGs were shown to be significantly enriched in different obesity related pathways and GO functions. Then protein–protein interaction network, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. The module analysis was performed based on the whole PPI network. We finally filtered out STAT3, CORO1C, S...

The statistical metrics for key differentially expressed genes (DEGs).

BMC Endocrine Disorders, 2021

Background Type 1 diabetes (T1D) is a serious threat to childhood life and has fairly complicated... more Background Type 1 diabetes (T1D) is a serious threat to childhood life and has fairly complicated pathogenesis. Profound attempts have been made to enlighten the pathogenesis, but the molecular mechanisms of T1D are still not well known. Methods To identify the candidate genes in the progression of T1D, expression profiling by high throughput sequencing dataset GSE123658 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and gene ontology (GO) and pathway enrichment analyses were performed. The protein-protein interaction network (PPI), modules, target gene - miRNA regulatory network and target gene - TF regulatory network analysis were constructed and analyzed using HIPPIE, miRNet, NetworkAnalyst and Cytoscape. Finally, validation of hub genes was conducted by using ROC (Receiver operating characteristic) curve and RT-PCR analysis. A molecular docking study was performed. Results A total of 284 DEGs were identified...

Background: Type 1 diabetes (T1D) is a serious threat to childhood life and has fairly complicate... more Background: Type 1 diabetes (T1D) is a serious threat to childhood life and has fairly complicated pathogenesis. Profound attempts have been made to enlighten the pathogenesis, but the molecular mechanisms of T1D are still not well known.Methods: To identify the candidate genes in the progression of T1D, Expression profiling by high throughput sequencing dataset GSE123658 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and gene ontology (GO) and pathway enrichment analyses were performed. The protein-protein interaction network (PPI), modules, target gene - miRNA regulatory network and target gene - TF regulatory network analysis were constructed and analyzed using HIPPIE, miRNet, NetworkAnalyst and Cytoscape. Finally, validation of hub genes was conducted by using ROC (Receiver operating characteristic) curve and RT-PCR analysis. Molecular docking studies were performed.Results: A total of 284 DEGs were identifi...

Coronary artery disease (CAD) is one of the most common disorders in the cardiovascular system. T... more Coronary artery disease (CAD) is one of the most common disorders in the cardiovascular system. This study aims to explore potential signaling pathways and important biomarkers that drive CAD development. The CAD GEO Dataset GSE113079 was featured to screen differentially expressed genes (DEGs). The pathway and Gene Ontology (GO) enrichment analysis of DEGs were analyzed using the ToppGene. We screened hub and target genes from protein-protein interaction (PPI) networks, target gene - miRNA regulatory network and target gene - TF regulatory network, and Cytoscape software. Validations of hub genes were performed to evaluate their potential prognostic and diagnostic value for CAD. A final, molecular docking study was performed. 1,036 DEGs were captured according to screening criteria (525upregulated genes and 511downregulated genes). Pathway and Gene Ontology (GO) enrichment analysis of DEGs revealed that these up and down regulated genes are mainly enriched in thyronamine and iodoth...

Vijayakrishna Kolur Vihaan Heart care & Super Specialty Centre, Vivekananda General Hospital, Des... more Vijayakrishna Kolur Vihaan Heart care & Super Specialty Centre, Vivekananda General Hospital, Deshpande Nagar, Hubli, Karnataka 580029, India. Basavaraj Vastrad Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. Chanabasayya Vastrad (  channu.vastrad@gmail.com ) Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad, Karnataka 580001, India. Iranna Kotturshetti Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. Anandkumar Tengli Department of Pharmaceutical Chemistry, JSS College of Pharmacy, Mysuru and JSS Academy of Higher Education & Research, Mysuru, Karnataka 570015, India

Reproductive Biology and Endocrinology, 2021

To enhance understanding of polycystic ovary syndrome (PCOS) at the molecular level; this investi... more To enhance understanding of polycystic ovary syndrome (PCOS) at the molecular level; this investigation intends to examine the genes and pathways associated with PCOS by using an integrated bioinformatics analysis. Based on the expression profiling by high throughput sequencing data GSE84958 derived from the Gene Expression Omnibus (GEO) database, the differentially expressed genes (DEGs) between PCOS samples and normal controls were identified. We performed a functional enrichment analysis. A protein-protein interaction (PPI) network, miRNA- target genes and TF - target gene networks, were constructed and visualized, with which the hub gene nodes were identified. Validation of hub genes was performed by using receiver operating characteristic (ROC) and RT-PCR. Small drug molecules were predicted by using molecular docking. A total of 739 DEGs were identified, of which 360 genes were up regulated and 379 genes were down regulated. GO enrichment analysis revealed that up regulated ge...

Acta Chromatographica, 2014

The objective of the present study was to report the stability of Simvastatin (SMV), a HMG-CoA re... more The objective of the present study was to report the stability of Simvastatin (SMV), a HMG-CoA reductase inhibitor, based on forced degradation studies. SMV was subjected to forced hydrolytic (acidic, alkaline and neutral), oxidative, photolytic and thermal stress in accordance with the ICH guideline Q1A (R 2). SMV was found to degrade significantly in all stress conditions except photo degradation. Resolution of the drug and degradation products was achieved on a Hi-Q Sil C-18 column (4.6 × 250 mm, 5 μm) utilizing acetonitrile, methanol and phosphate buffer (65:25:10% v/v/v) of pH 4 at a flow rate of 1.2 ml/min and at the detection wavelength 237 nm. The major acidic stress degradation product was characterized by LC-ESI-MS/MS and its fragmentation pathway was proposed. Validation of the liquid chromatographic (LC) method was carried out in accordance with ICH guidelines. The method met all required criteria and was applied for analysis of commercially available tablets viz. Simvas 40.

3 Biotech

The goal of the present investigation is to identify the differentially expressed genes (DEGs) be... more The goal of the present investigation is to identify the differentially expressed genes (DEGs) between SARS-CoV-2 infected and normal control samples to investigate the molecular mechanisms of infection with SARS-CoV-2. The microarray data of the dataset E-MTAB-8871 were retrieved from the ArrayExpress database. Pathway and Gene Ontology (GO) enrichment study, protein-protein interaction (PPI) network, modules, target gene-miRNA regulatory network, and target gene-TF regulatory network have been performed. Subsequently, the key genes were validated using an analysis of the receiver operating characteristic (ROC) curve. In SARS-CoV-2 infection, a total of 324 DEGs (76 up-and 248 down-regulated genes) were identified and enriched in a number of associated SARS-CoV-2 infection pathways and GO terms. Hub and target genes such as TP53, HRAS, MAPK11, RELA, IKZF3, IFNAR2, SKI, TNFRSF13C, JAK1, TRAF6, KLRF2, CD1A were identified from PPI network, target gene-miRNA regulatory network, and target gene-TF regulatory network. Study of the ROC showed that ten genes (CCL5, IFNAR2, JAK2, MX1, STAT1, BID, CD55, CD80, HAL-B, and HLA-DMA) were substantially involved in SARS-CoV-2 patients. The present investigation identified key genes and pathways that deepen our understanding of the molecular mechanisms of SARS-CoV-2 infection, and could be used for SARS-CoV-2 infection as diagnostic and therapeutic biomarkers.

Obesity associated type 2 diabetes mellitus is one of the most common metabolic disorder worldwid... more Obesity associated type 2 diabetes mellitus is one of the most common metabolic disorder worldwide. The prognosis of obesity associated type 2 diabetes mellitus patients has remained poor, though considerable efforts have been made to improve the treatment of this metabolic disorder. Therefore, identifying significant differentially expressed genes (DEGs) associated in metabolic disorder advancement and exploiting them as new biomarkers or potential therapeutic targets for metabolic disorder is highly valuable. Differentially expressed genes (DEGs) were screened out from gene expression omnibus (GEO) dataset (GSE132831) and subjected to GO and REACTOME pathway enrichment analyses. The protein - protein interactions network, module analysis, target gene - miRNA regulatory network and target gene - TF regulatory network were constructed, and the top ten hub genes were selected. The relative expression of hub genes was detected in RT-PCR. Furthermore, diagnostic value of hub genes in o...

The current investigation aimed to mine therapeutic molecular targets that play an key part in th... more The current investigation aimed to mine therapeutic molecular targets that play an key part in the advancement of pancreatic ductal adenocarcinoma (PDAC). The expression profiling by high throughput sequencing dataset profile GSE133684 dataset was downloaded from the Gene Expression Omnibus (GEO) database. Limma package of R was used to identify differentially expressed genes (DEGs). Functional enrichment analysis of DEGs were performed. Protein-protein interaction (PPI) networks of the DEGs were constructed. An integrated gene regulatory network was built including DEGs, microRNAs (miRNAs), and transcription factors. Furthermore, consistent hub genes were further validated. Molecular docking experiment was conducted. A total of 463 DEGs (232 up regulated and 231 down regulated genes) were identified between very early PDAC and normal control samples. The results of Functional enrichment analysis revealed that the DEGs were significantly enriched in vesicle organization, secretory v...

Neuroendocrine tumor (NET) is one of malignant cancer and is identified with high morbidity and m... more Neuroendocrine tumor (NET) is one of malignant cancer and is identified with high morbidity and mortality rates around the world. With indigent clinical outcomes, potential biomarkers for diagnosis, prognosis and drug target are crucial to explore. The aim of this study is to examine the gene expression module of NET and to identify potential diagnostic and prognostic biomarkers as well as to find out new drug target. The differentially expressed genes (DEGs) identified from GSE65286 dataset was used for pathway enrichment analyses and gene ontology (GO) enrichment analyses and protein - protein interaction (PPI) analysis and module analysis. Moreover, miRNAs and transcription factors (TFs) that regulated the up and down regulated genes were predicted. Furthermore, validation of hub genes was performed. Finally, molecular docking studies were performed. DEGs were identified, including 453 down regulated and 459 up regulated genes. Pathway and GO enrichment analysis revealed that DEG...

Journal of Biomolecular Structure and Dynamics

International Journal of Research in Pharmaceutical Sciences

Impurity profiling is known to identify, classify and measure both the identified and non-identif... more Impurity profiling is known to identify, classify and measure both the identified and non-identified contamination present on the medicinal product. Unwanted chemicals which remain or are created during the formulation of medicinal products are pharmaceutical impurities. Impurity profiling helps in the detection, recognition and quantification in bulk products and pharmaceutical formulations of various types of impurities, as well as residual solvents. It is the simplest way to distinguish consistency and stability of bulk drugs and medication formulations. As analytical methodology has developed rapidly, it is essential to consider with their solutions problems related to impurities of drug substances and drug products. Various regulatory agencies including ICH, USFDA, Canadian Drug and Health Agencies stress the criteria for purity and for detecting impurities in active pharmaceutical materials, even in small quantities, as the presence of impurities, may have an effect on pharmac...

Archives of Gynecology and Obstetrics

Journal of Advances in Medical and Pharmaceutical Sciences

A size-exclusion LC method was validated for the determination of interferon-a2a (rhlFN-alpha2a) ... more A size-exclusion LC method was validated for the determination of interferon-a2a (rhlFN-alpha2a) in pharmaceutical formulations without interference from human serum albumin. Chromatographic separation was performed on a BioSep-SEC-S 2000 column (300 x 7.8 mm id). The mobile phase consisted of 0.001 M monobasic potassium phosphate, 0.008 M sodium phosphate dibasic; 0.2 M sodium chloride buffer, pH 7.4, run at a gradient flow rate and using photodiode array detection at 214 nm, was used. Chromatographic separation was achieved with a retention time of 17.2 min, and the analysis was linear over the concentration range of 1.98 to 198 microg/mL (r2 = 0.9996). The accuracy was 101.39%, with bias lower than 1.67%. The LOD and LOQ were 0.87 and 1.98 microg/mL, respectively. Moreover, method validation demonstrated acceptable results for precision and robustness. The method was applied to the assessment of rhlFN-alpha2a and related proteins in biopharmaceutical dosage forms, and the content/potencies were correlated to those given by a validated RP-LC method and an in vitro bioassay. It was concluded that use of the methods in conjunction allows a great improvement in monitoring stability and QC, thereby ensuring the therapeutic efficacy of the biotechnology-derived medicine.

American Journal of Analytical Chemistry, 2015

A simple, rapid, sensitive and specific UPLCMS method was developed and validated following ICH g... more A simple, rapid, sensitive and specific UPLCMS method was developed and validated following ICH guidelines for simultaneous estimation of tablet dosage form containing amlodipine (AMLO) hydrochlorothiazide (HCT) and losartan (LOSAT) using telmisartan (TELMI) as an internal standard (IS). The separation was achieved using Waters ACQUITY BEH C18 (1.7 µm, 2.1 × 50 mm) column with gradient mode, mobile phase containing acetonitrile (A) & 1% ammonium acetate (B) pH adjusted to 2.8 with trifluoro acetic acid with gradient mode. The flow rate was 0.4 mL•mL −1 and the injection volume 2 µl. The retention time for amlodipine, hydrochlorothiazide and losartan was found to be 3.7, 2.5 and 3.9 min, respectively. The developed method was found to be linear over the concentration range of 50-300 ng•mL −1 , 125-750 ng•mL −1 and 500-3000 ng•mL −1 for AMLO, HCT and LOSAT respectively. The signal intensities obtained in ion mode for amlodipine, hydrochlorothiazide, losartan and telmisartan (IS) they were found to be much higher positive ion mode (M+)− parent ion at m/z, 409.02, 297.97, 422.91 and 515.03, respectively, in QUATTROZQ full scan mass spectra.

International Journal of Chemical and Analytical Science, 2013

IOSR Journal of Pharmacy and Biological Sciences, 2014