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Dehydroepiandrosterone sulfate (DHEAS) is observed to be decreased in sepsis and inflammatory conditions. In the present study, we assessed the levels of DHEAS and cortisol and the DHEAS/cortisol ratio and their association with inflammatory markers in patients with COVID-19.The study recruited 76 RT-PCR-positive COVID-19-positive patients and 79 healthy controls. The blood samples were collected and were analyzed for cortisol and DHEAS.We observed decreased levels of DHEAS and DHEAS/cortisol ratio and increased levels of cortisol in cases when compared with controls. DHEAS and DHEAS/cortisol ratio showed a decreasing trend with the increase in disease severity.The present study is the first of its kind comparing DHEAS levels and DHEAS/cortisol ratio in COVID-19 patients and control subjects. DHEAS, with its inhibitory effect on IL6 and activation of Tregs, may play a crucial role in immune defense mechanisms against COVID-19.

Introduction: Breast cancer (BC) is the leading cause of death among women across the globe. Abnormal gene expression plays a crucial role in tumour progression, carcinogenesis and metastasis of BC. The alteration of gene expression may be through aberrant gene methylation. In the present study, differentially expressed genes which may be regulated by DNA methylation and their pathways associated with BC have been identified. Methods: Expression microarray datasets GSE10780, GSE10797, GSE21422, GSE42568, GSE61304, GSE61724 and one DNA methylation profile dataset GSE20713 were downloaded from Gene Expression Omnibus database (GEO). Differentially expressed-aberrantly methylated genes were identified using online Venn diagram tool. Based on fold change expression of differentially expressed-aberrantly methylated genes were chosen through heat map. Protein-protein interaction (PPI) network of the hub genes was constructed by Search Tool for the Retrieval of Interacting Genes (STRING). Gene expression and DNA methylation level of the hub genes were validated through UALCAN. Overall survival analysis of the hub genes was analysed through Kaplan Meier-plotter database for BC. Results: A total of 72 upregulated-hypomethylated genes and 92 downregulated-hypermethylated genes were obtained from GSE10780, GSE10797, GSE21422, GSE42568, GSE61304, GSE61724 and GSE20713 datasets by GEO2R and Venn diagram tool. PPI network of the upregulated-hypomethylated hub genes (MRGBP, MANF, ARF3, HIST1H3D, GSK3B, HJURP, GPSM2, MATN3, KDELR2, CEP55, GSPT1, COL11A1, and COL1A1) and downregulated-hypermethylated hub genes were constructed (APOD, DMD, RBPMS, NR3C2, HOXA9, AMKY2, KCTD9, and EDN1). All the differentially expressed hub genes expression was validated in UALCAN database. 4 in 13 upregulated-hypomethylated and 5 in 8 downregulated-hypermethylated hub genes to be significantly hypomethylated or hypermethylated in BC were confirmed using UALCAN database (p

Substance use disorders are known to be associated with inflammation. However, the dynamics of inflammatory cytokines and microRNA in chronic opium use is yet unexplored. The current study determined the levels of inflammatory cytokines TNF-α, IL-6, IL-10 and immune-regulatory miR-155 and miR-187 expressions in chronic opioid use disorder. Adults (n = 48) meeting the 5th Edition of the DSM criteria regarding opioid use disorder and healthy controls (n = 46) were included in the study. Inflammatory cytokines IL-10, IL-6, and TNF-α were analyzed from serum samples, and peripheral blood mononuclear cells processed for miRNA expression. Cases showed significantly raised IL-10 and TNF-α and reduced IL-6. Dose-dependent upregulation of miR-155-5p and miR-187-5p was evident at opium dose1500 g/month, with a corresponding increase of TNF-α and IL-10. MiR-155 showed a significant positive correlation with IL-6 and TNF-α levels, while miR-187 showed a significant negative association with TNF-α at ≥1000 g/month consumption. Therefore, increasing consumption of opium probably enhances inflammation leading to immunomodulation and aberrant expression of hsa-miR-155-5p and hsa-miR-187-5p in opioid use disorder.

Stemness, a key component of breast cancer (BC) heterogeneity, is responsible for chemoresistance. Growth differentiation factor-15 (GDF-15) induces drug resistance and stemness in BC cells. In this study, the expressions and interactions of GDF-15, FOXM1, and stemness (OCT4 and SOX2), and drug resistance (ABCC5) markers were evaluated in BC.40 diagnosed BC patients and 40 healthy controls were included in this study. Serum GDF-15 was significantly raised (p 0.001) in BC patients. Expressions of GDF-15, OCT4, SOX2, and FOXM1 in BC tissue and cell lines (MCF-7 and MDA-MB-231) were determined by RT-PCR, while phosphorylated AKT (p-AKT) was analyzed by Western blot. Not only were the fold change expressions higher in cancer tissue as compared to surrounding control tissue, but a higher expression was observed for all the genes along with p-AKT in MDA-MB-231 cells compared to MCF-7. Tissue GDF-15 was significantly associated with ABCC5 (p 0.001), OCT4 (p = 0.002), SOX2 (p 0.001), and FOXM1 (p 0.001). To further analyze the signaling pathway involved in stemness and drug resistance in BC, GDF-15 knockdown was performed, which reduced the expression of p-AKT, FOXM1, OCT4 and SOX2, and ABCC5, whereas recombinant GDF-15 treatment reversed the same. In silico analyses in UALCAN revealed a similar picture for these genes to that of BC tissue expression.GDF-15 promotes stemness and intrinsic drug resistance in BC, possibly mediated by the p-AKT/FOXM1 axis.

The deficiencies of trace elements and infectious diseases often coexist and exhibit complex interactions. Several trace elements such as zinc (Zn), copper (Cu) and magnesium (Mg) have immunomodulatory functions and thus influence the susceptibility to the course and outcome of a variety of viral infections. So, this present study was aimed to study relations of trace metals in association with severity and mortality in SARS-CoV-2 patients. A total of 150 individuals infected with COVID-19 and 50 healthy individuals were recruited. Cases were divided based on severity (mild, moderate and severe) and outcome (discharged or deceased). Serum Zn, Mg and Cu levels were analysed by direct colourimetric method. Both serum Cu and Zn levels were significantly decreased in cases when compared to those in controls (p

BACKGROUND Breast cancer with metastasis like lymph node and skin metastasis represents a significant cause of morbidity and mortality in patients. Patients with lymph node metastasis (LNM) has poor prognosis of the disease and likewise skin metastases may impair the quality of life due to physical appearance, odour, and bleeding. So therefore, it urgent to elucidate the key genes and pathways involved in lymph node and skin metastasis of breast cancer and its prognosis. OBJECTIVE In the present study, we aimed to identify the key genes that are involved in both lymph node and skin metastasis from the publicly available datasets and through survival analysis their role has been identified in breast cancer. METHODS GSE29431 and GSE53752 microarray gene expression datasets were obtained from the GEO (Gene Expression Omnibus) database, which included LNM and skin metastasis samples of breast cancer. Differentially expressed genes (DEGs) were obtained between lymph node and skin metastasis through GEO2R tool. Bioinformatical methods including Gene Ontology (GO) functional annotation analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using database for annotation, visualization and integrated discovery (DAVID) with the screened DEGs. The protein-protein interaction (PPI) network of the DEGs was constructed through Search Tool for the Retrieval of Interacting Genes database (STRING) website, and visualized through Cytoscape and HUB genes were identified Molecular Complex Detection (MCODE) and cytoHubba. Hub genes expression was analyzed for overall survival (OS) through Gene Expression Profiling Interactive Analysis (GEPIA). Their targeting miRNAs and transcription factors (TFs) were identified using mirNet. RESULTS In total 156 DEGs were identified. The GO function and KEGG pathway enrichment analyses indicated that these DEGs were enriched in extracellular matrix organisation, positive regulation of cell migration, immunoglobulin receptor binding, Wnt-protein binding. PPI was established with 142 nodes, 155 edges and through MCODE and Cytohubba thirteen Hub genes were identified. Four candidate genes MS4A1, CD79A, VPREB3, FCRLA had worse overall survival (OS) in breast cancer. A total 34miRNAs and 121TFs that target the candidate genes were identified through mirNet and hsa-mir-335-5p is found to be most significant miRNA that target three out of four hub genes. CONCLUSIONS Our study suggests that the four hub genes (MS4A1, CD79A, VPREB3, FCRLA) and 34 miRNAs are associated with lymph node and skin metastasis of breast cancer which can be a potential biomarker for therapeutics.

Introduction Growth Differentiation Factor-15 (GDF-15) has emerged as a novel marker in gyne-cological cancers. But its suitability in clinical diagnostics is yet to be recognized. Materials and methods We sorted out eligible studies from multiple online databases like Pubmed, Cochrane, ClinicalTrials.gov, Google Scholar, Web of Science, Embase, Scopus, LILACS, and Opengrey. The terms used were ‘Growth Differentiation Factor-15’, ‘GDF-15’, ‘Macrophage Inhibitory Cytokine-1’, ‘MIC-1’, ‘Ovarian cancer’, ‘Ovarian carcinoma’, ‘Endometrial cancer’, ‘Endometrial carcinoma’, ‘Uterine cancer’, ‘Uterine Carcinoma’, ‘Cervical cancer’, ‘Cervical car-cinoma’, ‘diagnosis’, ‘sensitivity’, ‘specificity’, ‘prognosis’, and ‘outcome’. Of the full-text, potentially eligible records, six were found eligible for inclusion into our meta-analysis. Studies were selected only if the diagnosis was proven by pathology, cases recruited were those without any prior treatment, sufficient diagnostic accuracy data were present for GDF-15 in gynecological cancers, ethical approval was taken from Institutional Ethics Committee, and full-text material was available in English. Nonclinical research and animal studies were excluded. We took the assistance of the Rayyan QCRI software for the screening and selection process. We conducted the study following Meta-analysis Of Observational Studies in Epidemiology (MOOSE) guidelines and used Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) to assess the risk of bias. The protocol was registered at PROSPERO, registration number CRD42019130097. Results We extracted diagnostic accuracy data from the articles and evaluated the role of GDF-15 by pooling the sensitivity, specificity, and diagnostic odds ratio (DOR) and plotting a summary receiver operating characteristic (SROC) curve. Since there was heterogeneity across the studies, random-effects model was employed to carry out the integration. The meta-analysis showed that GDF-15 has a pooled DOR of 12.74 at 80.5% sensitivity and 74.1% specificity, with an area under the curve (AUC) of 0.84. Conclusion Our analysis suggests that GDF-15 may be a useful candidate marker to differentiate malignant from non-malignant tumors of the female reproductive system. Registration detail: PROSPERO, CRD42019130097.

Axillary nodal metastasis is related to poor prognosis in breast cancer (BC). Key candidate genes in BC lymph node metastasis have been identified from Gene Expression Omnibus datasets and explored through functional enrichment database for annotation, visualization and integrated discovery (DAVID) , protein-protein interaction by Search Tool for the Retrieval of Interacting Genes and proteins (STRING), network visualization (Cytoscape), survival analysis (GEPIA, KM Plotter), and target prediction (miRNet). A total of 102 overlapping differentially expressed genes were found. In-silico survival and expression analyses revealed six candidate hub genes, Desmocollin 3 (DSC3), KRT5, KRT6B, KRT17, KRT81, and SERPINB5, to be significantly associated with nodal metastasis and overall survival, and 83 MicroRNA (miRNAs), which may be potential diagnostic markers and therapeutic targets in BC patients.

BACKGROUND T helper (Th) 9 cells are a novel subset of Th cells that develop independently from Th2 cells and are characterized by the secretion of interleukin (IL)-9. Studies have suggested the involvement of Th9 cells in variable diseases such as allergic and pulmonary diseases (eg, asthma, chronic obstructive airway disease, chronic rhinosinusitis, nasal polyps, and pulmonary hypoplasia), metabolic diseases (eg, acute leukemia, myelocytic leukemia, breast cancer, lung cancer, melanoma, pancreatic cancer), neuropsychiatric disorders (eg, Alzheimer disease), autoimmune diseases (eg, Graves disease, Crohn disease, colitis, psoriasis, systemic lupus erythematosus, systemic scleroderma, rheumatoid arthritis, multiple sclerosis, inflammatory bowel disease, atopic dermatitis, eczema), and infectious diseases (eg, tuberculosis, hepatitis). However, there is a dearth of information on its involvement in other metabolic, neuropsychiatric, and infectious diseases. OBJECTIVE This study aims to identify significant differentially altered genes in the conversion of Th2 to Th9 cells, and their regulating microRNAs (miRs) from publicly available Gene Expression Omnibus data sets of the mouse model using in silico analysis to unravel various pathogenic pathways involved in disease processes. METHODS Using differentially expressed genes (DEGs) identified from 2 publicly available data sets (GSE99166 and GSE123501) we performed functional enrichment and network analyses to identify pathways, protein-protein interactions, miR-messenger RNA associations, and disease-gene associations related to significant differentially altered genes implicated in the conversion of Th2 to Th9 cells. RESULTS We extracted 260 common downregulated, 236 common upregulated, and 634 common DEGs from the expression profiles of data sets GSE99166 and GSE123501. Codifferentially expressed ILs, cytokines, receptors, and transcription factors (TFs) were enriched in 7 crucial Kyoto Encyclopedia of Genes and Genomes pathways and Gene Ontology. We constructed the protein-protein interaction network and predicted the top regulatory miRs involved in the Th2 to Th9 differentiation pathways. We also identified various metabolic, allergic and pulmonary, neuropsychiatric, autoimmune, and infectious diseases as well as carcinomas where the differentiation of Th2 to Th9 may play a crucial role. CONCLUSIONS This study identified hitherto unexplored possible associations between Th9 and disease states. Some important ILs, including CCL1 (chemokine [C-C motif] ligand 1), CCL20 (chemokine [C-C motif] ligand 20), IL-13, IL-4, IL-12A, and IL-9; receptors, including IL-12RB1, IL-4RA (interleukin 9 receptor alpha), CD53 (cluster of differentiation 53), CD6 (cluster of differentiation 6), CD5 (cluster of differentiation 5), CD83 (cluster of differentiation 83), CD197 (cluster of differentiation 197), IL-1RL1 (interleukin 1 receptor-like 1), CD101 (cluster of differentiation 101), CD96 (cluster of differentiation 96), CD72 (cluster of differentiation 72), CD7 (cluster of differentiation 7), CD152 (cytotoxic T lymphocyte–associated protein 4), CD38 (cluster of differentiation 38), CX3CR1 (chemokine [C-X3-C motif] receptor 1), CTLA2A (cytotoxic T lymphocyte–associated protein 2 alpha), CTLA28, and CD196 (cluster of differentiation 196); and TFs, including FOXP3 (forkhead box P3), IRF8 (interferon regulatory factor 8), FOXP2 (forkhead box P2), RORA (RAR-related orphan receptor alpha), AHR (aryl-hydrocarbon receptor), MAF (avian musculoaponeurotic fibrosarcoma oncogene homolog), SMAD6 (SMAD family member 6), JUN (Jun proto-oncogene), JAK2 (Janus kinase 2), EP300 (E1A binding protein p300), ATF6 (activating transcription factor 6), BTAF1 (B-TFIID TATA-box binding protein associated factor 1), BAFT (basic leucine zipper transcription factor), NOTCH1 (neurogenic locus notch homolog protein 1), GATA3 (GATA binding protein 3), SATB1 (special AT-rich sequence binding protein 1), BMP7 (bone morphogenetic protein 7), and PPARG (peroxisome proliferator–activated receptor gamma, were able to identify significant differentially altered genes in the conversion of Th2 to Th9 cells. We identified some common miRs that could target the DEGs. The scarcity of studies on the role of Th9 in metabolic diseases highlights the lacunae in this field. Our study provides the rationale for exploring the role of Th9 in various metabolic disorders such as diabetes mellitus, diabetic nephropathy, hypertensive disease, ischemic stroke, steatohepatitis, liver fibrosis, obesity, adenocarcinoma, glioblastoma and glioma, malignant neoplasm of stomach, melanoma, neuroblastoma, osteosarcoma, pancreatic carcinoma, prostate carcinoma, and stomach carcinoma.

COVID-19 has emerged as a global pandemic. It is mainly manifested as pneumonia which may deteriorate into severe respiratory failure. The major hallmark of the disease is the systemic inflammatory immune response characterized by Cytokine Storm (CS). CS is marked by elevated levels of inflammatory cytokines, mainly interleukin-6 (IL-6), IL-8, IL-10, tumour necrosis factor-α (TNF-α) and interferon-γ (IFN-γ). Of these, IL-6 is found to be significantly associated with higher mortality. IL-6 is also a robust marker for predicting disease prognosis and deterioration of clinical profile. In this review, the pivotal role played by IL-6 in the immuno-pathology of COVID-19 has been illustrated. The role of IL-6 as a pleiotropic cytokine executing both pro and anti-inflammatory activities has been reviewed. ADAM 10, a metalloproteinase switches the anti-inflammatory pathway of IL-6 to pro inflammatory hence blocking the action of ADAM 10 could be a new therapeutic strategy to mitigate the proinflammatory action of IL-6. Furthermore, we explore the role of anti-IL6 agents, IL-6 receptor antibodies which were being used for autoimmune diseases but now are being repurposed for the therapy of COVID-19.

The current pandemic of COVID-19, with its climbing number of cases and deaths, has us searching for tools for rapid, reliable, and affordable methods of detection on one hand, and novel, improved therapeutic strategies on the other. The currently employed RT-PCR method, despite its all-encompassing utility, has its shortcomings. Newer diagnostic tools, based on the Clustered Regularly Interspaced Short Palindromic Repeats/Cas(CRISPR-Cas) system, with its better diagnostic accuracy measures, have come up to fill that void. These assay platforms are expected to slowly take up the place of COVID-19 diagnostics. Further, the current therapeutic options focus mainly on counteracting the viral proteins and components and their entry into host cells. The CRISPR-based system, especially through the RNA-guided Cas13 approach, can identify the genomic characteristics of SARS-CoV-2 and provide a novel inhibition strategy for coronaviruses. In this mini-review, we have discussed the available and upcoming CRISPR-based diagnostic assays and the potential of the CRISPR/Cas system as a therapeutic or prevention strategy in COVID-19. CRISPR-Cas system shows promise in both diagnostics as well as therapeutics and may as well change the face of molecular diagnosis and precision medicine.

Objectives Metals including lead (Pb), aluminum (Al), and zinc (Zn) are widely used in factories such as welding, handicrafts, and paint. Occupational exposure to such metals causes a wide range of biological effects, depending upon the metal levels and duration of exposure. Accumulation of these metals may lead to several adverse health effects such as neurodegenerative diseases and cancer. The study aimed to evaluate Pb, Al, and Zn levels in occupationally exposed workers of North-Western India and create awareness about its toxicity and adverse outcomes. Methods The study included 120 factory workers (exposed) and 100 healthy controls (nonexposed); age ranged 18–78 years. Blood Pb and serum Al was estimated by graphite furnace atomic absorption spectrophotometry and serum Zn was estimated by flame atomic absorption spectrophotometry (ICE 3000, Thermo Fisher Scientific). Results Results indicated significantly higher levels of Pb, Al, and Zn in the exposed than the nonexposed. No significant difference was observed in metal levels, based on age and duration of exposure. Painters showed higher blood Pb, whereas welders were found to have higher serum Al and Zn levels. Conclusions To conclude, workers showed higher levels of metals and it may cause deleterious effects on the health of workers occupationally exposed to these metals. Appropriate maintenance regarding worker’s safety and hygiene is required to protect them from the harmful effects of these toxic metals.

Nutritional deficiency is associated with impaired immunity and increased susceptibility to infections. The complex interactions of trace elements with the macromolecules trigger the effective immune response against the viral diseases. The outcome of various viral infections along with susceptibility is affected by trace elements such as zinc, selenium, iron, copper, etc. due to their immuno-modulatory effects. Available electronic databases have been comprehensively searched for articles published with full text available and with the key words “Trace elements”, “COVID-19”, “Viral Infections” and “Immune Response” (i.e. separately Zn, Se, Fe, Cu, Mn, Mo, Cr, Li, Ni, Co) appearing in the title and abstract. On the basis of available articles we have explored the role of trace elements in viral infections with special reference to COVID-19 and their interactions with the immune system. Zinc, selenium and other trace elements are vital to triggerTH1 cells and cytokine-mediated immune response for substantial production of proinflammatory cytokines. The antiviral activity of some trace elements is attributed to their inhibitory effect on viral entry, replication and other downstream processes. Trace elements having antioxidants activity not only regulate host immune responses, but also modify the viral genome. Adequate dietary intake of trace elements is essential for activation, development, differentiation and numerous functions.

COVID-19 has similarities to the Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) outbreaks, as severe patients and non-survivors have frequently shown abnormal coagulation profiles. Immune-mediated pathology is a key player in this disease; hence, the role of the complement system needs assessment. The complement system and the coagulation cascade share an intricate network, where multiple mediators maintain a balance between both pathways. Coagulopathy in COVID-19, showing mixed features of complement-mediated and consumption coagulopathy, creates a dilemma in diagnosis and management.Pathophysiology of coagulopathy in COVID-19 patients, with a particular focus on D-dimer and its role in predicting the severity of COVID-19 has been discussed. A comprehensive search of the medical literature on PubMed was done till May 30th, 2020 with the keywords 'COVID-19', 'SARS-CoV-2', 'Coronavirus', 'Coagulopathy', and 'D-dimer'. Twenty-two studies were taken for weighted pooled analysis of D-dimer.A tailored anticoagulant regimen, including intensification of standard prophylactic regimens with low-molecular-weight heparin is advisable for COVID-19 patients. Atypical manifestations and varying D-dimer levels seen in different populations bring forth the futility of uniform recommendations for anticoagulant therapy. Further, direct thrombin inhibitors and platelet inhibitors in a patient-specific manner should also be considered.

Graphical abstract, Highlights • BLL had a significant direct correlation with abnormal neurobehavior. • Serum serotonin levels were significantly lower in children with high blood lead levels (BLL). • Serum serotonin and dopamine receptor expression were upregulated in children with high BLL. • Serum serotonin levels had significant negative association with adverse neurobehavior. • Dopamine receptor expression had significant positive association with adverse neurobehavior., Present study aimed to assess the alterations in neurotransmitter expression and its association with Blood Lead Level (BLL) and neurobehavioral pattern in children. 72 school going children were recruited. Blood lead levels were determined by Atomic Absorption Spectrophotometer. Neurobehavioral state was assessed by means of population specific scale i.e. CPMS (Childhood Psychopathological measurement Schedule). Serum serotonin and dopamine were estimated by ELISA, receptor and transporter gene expressions were assessed by quantitative real time PCR. Significant positive correlation was observed between Total CPMS score (i.e. adverse neurobehaviour) and BLL. Further, serum serotonin levels and dopamine receptor expression showed a negative and positive association with BLL, respectively. In similarity, serum serotonin levels showed a negative correlation and dopamine receptor expression had a significant positive correlation with total CPMS score. Environmental exposure to Lead (Pb) may result in significant alterations in the neurotransmitter levels which may be associated with neurobehavioral changes in the children exposed to Pb.

ATP-binding cassette (ABC) transporters are membrane-spanning proteins involved in cholesterol homeostasis, transport of various molecules in and out of cells and organelles, oxidative stress, immune recognition, and drug efflux. They are long implicated in the development of multidrug resistance in cancer chemotherapy. Existing clinical and molecular evidence has also linked ABC transporters with cancer pathogenesis, prognostics, and therapy. In this review, we aim to provide a comprehensive update on all ABC transporters and their roles in drug resistance in breast cancer (BC). For solid tumours such as BC, various ABC transporters are highly expressed in less differentiated subtypes and metastases. ABCA1, ABCB1 and ABCG2 are key players in BC chemoresistance. Restraining these transporters has evolved as a possible mechanism to reverse this phenomenon. Further, ABCB1 and ABCC1 are important in BC prognosis. Newer therapeutic approaches have been developed to target all these molecules to dysregulate their effect, reduce cell viability, induce apoptosis, and increase drug sensitivity. In the future, targeted therapy for specific genetic variations and upstream or downstream molecules can help improve patient prognosis.

Nutritional deficiency is associated with weaken immune system and increased susceptibility to infection. Among other nutrients, several trace elements have been shown to regulate immune responses. Iron is one of the most abundant trace elements present in our body, which is required in various biological processes. Iron has an immunomodulatory function and thus influence the susceptibility to the course and outcome of a variety of viral infections. So, this present study was aimed to study relations of different iron-related biomarkers in association to severity and mortality in SARS-CoV-2 patients.A total of 150 individuals infected with COVID-19 and 50 healthy individuals were recruited. Cases were divided based on severity (mild, moderate, and severe) and outcome (discharged or deceased). Serum iron, TIBC, ferritin, transferrin, transferrin saturation levels were analyzed by the direct colourimetric method.In cases the median levels of serum iron, TIBC, transferrin, transferrin saturation and ferritin are 29 µg/dL, 132.53 µg/dL, 106.3 mg/dL, 17.74 % and 702.9 ng/dL respectively. Similarly, in controls the median levels of serum iron, TIBC, transferrin, transferrin saturation and ferritin are 53 µg/dL, 391.88 µg/dL, 313.51 mg/dL, 12.81 % and 13.52 ng/dL respectively. On comparing the cases with the controls, a significant lower level of iron, TIBC, and transferrin were found in the cases along with the significant higher levels of ferritin and transferrin saturation. On comparing the Receiver operating characteristic (ROC) curves of Iron, Ferritin, Transferrin, Transferrin sat % and TIBC in relation to survival in COVID-19 patients it was found that iron, followed by transferrin and ferritin has the highest area under the curve (AUC) with 74 %, 63 % and 61 % respectively. Further, in pairwise analysis of ROC curve, a significant difference was found between the Iron-transferrin (p 0.01), iron-TIBC (p 0.001) and transferrin-ferritin (P 0.01). The multiple regression model based on Iron and transferrin outperformed any other combination of variables via stepwise AIC selection with an AUC of 98.2 %. The cutoff point according to Youden's J index is characterized with a sensitivity of 98 % and a specificity of 96.8 %, indicating that iron along with transferrin can be a useful marker that may contribute to a better assessment of survival chances in COVID-19.Our study demonstrated a significantly decreased levels of iron, TIBC,transferrin and a significantly increased levels of ferritin and transferrin saturation in COVID-19 patients when compared with controls. Further, Iron and transferrin were observed to be a good predictor of mortality in patients with COVID-19. From the above analysis we confirm that iron-related biomarkers play an important role in the development of oxidative stress and further lead to activation of the cytokine storm. So, continuous monitoring of these parameters could be helpful in the early detection of individuals developing the severe disease and can be used to decrease mortality in upcoming new waves of COVID-19.

Diabetic Nephropathy (DN), a microvascular complication associated with long-standing diabetes, is a major cause of the end-stage renal disease (ESRD). Our in-silico analysis indicates several enrichment analyses involved in glucose metabolism to be affected by GDF15 transcription factors.In-silico analysis was used to identify GDF15 and Insulin related protein-protein interaction (PPI) network and a common set of GDF15 regulating transcription factors by various databases. Common targeting miRNA of GDF15 regulating transcription factors were investigated in miRNet and TargetScan. Further, healthy controls (n=30) and patients with pre-Type-2 Diabetes mellitus (Pre-diabetes) (n=30), T2DM (n=30) and DN (n=30) were included for analysis of routine biochemical tests, serum GDF15 levels by ELISA and to evaluate the Fold change expression (FCE) of circulating hsa-miR-21 by RT-PCR.MicroRNA-21 was found to directly target GDF15 downregulating transcription factors KLF4, TP53, and CEBPB. A significant difference in the levels of serum GDF15 was observed in Pre-diabetes (708.56 ±76.37), T2DM (1528.87 ±140.75) and DN patients (10-fold higher; 5507.90 ±503.88) when compared to healthy controls (567.36 ±69.99). The FCE of circulating hsa-miR-21 was 6.19 (Pre-diabetes), 8.22 (T2DM), 9.19 (DN), folds higher in cases as compared to controls, reflecting an increasing trend and several folds higher levels of hsa-miR-21 in patients.We suggest the potential of serum GDF15 and circulating-hsa-miR-21 to serve as clinically important biomarkers and therapeutic targets for controlling advancement of diabetes to DN.

Background T helper (Th) 9 cells are a novel subset of Th cells that develop independently from Th2 cells and are characterized by the secretion of interleukin (IL)-9. Studies have suggested the involvement of Th9 cells in variable diseases such as allergic and pulmonary diseases (eg, asthma, chronic obstructive airway disease, chronic rhinosinusitis, nasal polyps, and pulmonary hypoplasia), metabolic diseases (eg, acute leukemia, myelocytic leukemia, breast cancer, lung cancer, melanoma, pancreatic cancer), neuropsychiatric disorders (eg, Alzheimer disease), autoimmune diseases (eg, Graves disease, Crohn disease, colitis, psoriasis, systemic lupus erythematosus, systemic scleroderma, rheumatoid arthritis, multiple sclerosis, inflammatory bowel disease, atopic dermatitis, eczema), and infectious diseases (eg, tuberculosis, hepatitis). However, there is a dearth of information on its involvement in other metabolic, neuropsychiatric, and infectious diseases. Objective This study aims to identify significant differentially altered genes in the conversion of Th2 to Th9 cells, and their regulating microRNAs (miRs) from publicly available Gene Expression Omnibus data sets of the mouse model using in silico analysis to unravel various pathogenic pathways involved in disease processes. Methods Using differentially expressed genes (DEGs) identified from 2 publicly available data sets (GSE99166 and GSE123501) we performed functional enrichment and network analyses to identify pathways, protein-protein interactions, miR-messenger RNA associations, and disease-gene associations related to significant differentially altered genes implicated in the conversion of Th2 to Th9 cells. Results We extracted 260 common downregulated, 236 common upregulated, and 634 common DEGs from the expression profiles of data sets GSE99166 and GSE123501. Codifferentially expressed ILs, cytokines, receptors, and transcription factors (TFs) were enriched in 7 crucial Kyoto Encyclopedia of Genes and Genomes pathways and Gene Ontology. We constructed the protein-protein interaction network and predicted the top regulatory miRs involved in the Th2 to Th9 differentiation pathways. We also identified various metabolic, allergic and pulmonary, neuropsychiatric, autoimmune, and infectious diseases as well as carcinomas where the differentiation of Th2 to Th9 may play a crucial role. Conclusions This study identified hitherto unexplored possible associations between Th9 and disease states. Some important ILs, including CCL1 (chemokine [C-C motif] ligand 1), CCL20 (chemokine [C-C motif] ligand 20), IL-13, IL-4, IL-12A, and IL-9; receptors, including IL-12RB1, IL-4RA (interleukin 9 receptor alpha), CD53 (cluster of differentiation 53), CD6 (cluster of differentiation 6), CD5 (cluster of differentiation 5), CD83 (cluster of differentiation 83), CD197 (cluster of differentiation 197), IL-1RL1 (interleukin 1 receptor-like 1), CD101 (cluster of differentiation 101), CD96 (cluster of differentiation 96), CD72 (cluster of differentiation 72), CD7 (cluster of differentiation 7), CD152 (cytotoxic T lymphocyte–associated protein 4), CD38 (cluster of differentiation 38), CX3CR1 (chemokine [C-X3-C motif] receptor 1), CTLA2A (cytotoxic T lymphocyte–associated protein 2 alpha), CTLA28, and CD196 (cluster of differentiation 196); and TFs, including FOXP3 (forkhead box P3), IRF8 (interferon regulatory factor 8), FOXP2 (forkhead box P2), RORA (RAR-related orphan receptor alpha), AHR (aryl-hydrocarbon receptor), MAF (avian musculoaponeurotic fibrosarcoma oncogene homolog), SMAD6 (SMAD family member 6), JUN (Jun proto-oncogene), JAK2 (Janus kinase 2), EP300 (E1A binding protein p300), ATF6 (activating transcription factor 6), BTAF1 (B-TFIID TATA-box binding protein associated factor 1), BAFT (basic leucine zipper transcription factor), NOTCH1 (neurogenic locus notch homolog protein 1), GATA3 (GATA binding protein 3), SATB1 (special AT-rich sequence binding protein 1), BMP7 (bone morphogenetic protein 7), and PPARG (peroxisome proliferator–activated receptor gamma, were able to identify significant differentially altered genes in the conversion of Th2 to Th9 cells. We identified some common miRs that could target the DEGs. The scarcity of studies on the role of Th9 in metabolic diseases highlights the lacunae in this field. Our study provides the rationale for exploring the role of Th9 in various metabolic disorders such as diabetes mellitus, diabetic nephropathy, hypertensive disease, ischemic stroke, steatohepatitis, liver fibrosis, obesity, adenocarcinoma, glioblastoma and glioma, malignant neoplasm of stomach, melanoma, neuroblastoma, osteosarcoma, pancreatic carcinoma, prostate carcinoma, and stomach carcinoma.

Occupational exposure to heavy metals like lead (Pb) and cadmium (Cd) is associated with the development of several diseases. The objective of this study was to determine the effect of occupational co-exposure to Pb and Cd on the blood levels of selected immune-modulatory cytokines related to T helper (Th), that is, Th1, interleukin-2 (IL-2), Th2, (IL-4 and IL-10), and Th17, (IL-17) cells. The study comprised 207 individuals divided into two groups: exposed ( n = 110) and nonexposed ( n = 97). Blood Pb and Cd were determined using Graphite Furnace Atomic Absorption Spectroscopy, and serum levels of cytokines were measured using enzyme-linked immunosorbent assay (ELISA). The study revealed significantly higher blood Pb and Cd levels in the exposed group. A significant decrease in Th1 cytokine-IL-2 and Th2 cytokine-IL-10 was found, while IL-4 (Th2 cytokine) and IL-17 (Th17) levels were higher in the exposed group. In the mixed exposure analysis, among all the selected cytokines, IL-4 levels were significantly different between individuals having higher levels of both Pb and Cd versus lower levels of Pb and Cd. While IL-2 levels were highest among the low Pb and Cd group, the IL-17 levels were highest among individuals with higher Cd levels. The study demonstrated that co-exposure to low levels of Pb and Cd might have an immune-modulatory effect. The data suggested a metal-induced pro-inflammatory immune response.

The present study aims to identify the effect of ZnHDACs expression on the survival of the patients. Further, reveal the unique and common genes associated with each ZnHDACs and their associated pathways.The patient data was obtained from the Cancer Genome Atlas Program (TCGA) database and was analyzed using cBioportal and Gene Expression Profiling Interactive Analysis 2(GEPIA2) online tools. Protein-protein interactions and functional interactomic analysis were done using STRING, DAVID, and KEGG pathway databases.HDAC1, 2, 8, 11 were over-expressed and, HDAC4, 5, 6, 7, and 10 were down-regulated in all the cancer types, but there are few exceptional expression patterns such as HDAC7 and HDAC10 overexpression in HNSC, HDAC3 down-regulation in LUAD, and PRAD. The unique genes interacting with each ZnHDACs provided a better understanding of ZnHDAC's putative role in carcinogenesis. The present study reported that JARID2, stem cell regulation gene uniquely interacts with HDAC1, BPTF-CHRAC-BAZIA axis, enzymes for chromatin modeling selectively interacting with only HDAC2, HDAC3 in H2A acetylation via DMAP1 and YEATS4. HDAC6 associated unique genes regulate protein stability, HDAC7 in subnuclear localization and splicing, HDAC8 in telomere maintenance, HDAC9 in chromosomal rearrangements, and HDAC11 in maintaining histone core and folding.The unique genes and pathways associated with a particular ZnHDACs could provide a wide window for interrogating these genes for obtaining putative drug targets.

BACKGROUND Type 2 diabetes mellitus (T2DM) is a metabolic disorder with severe comorbidities. A multiomics approach can facilitate the identification of novel therapeutic targets and biomarkers with proper validation of potential microRNA (miRNA) interactions. OBJECTIVE The aim of this study was to identify significant differentially expressed common target genes in various tissues and their regulating miRNAs from publicly available Gene Expression Omnibus (GEO) data sets of patients with T2DM using in silico analysis. METHODS Using differentially expressed genes (DEGs) identified from 5 publicly available T2DM data sets, we performed functional enrichment, coexpression, and network analyses to identify pathways, protein-protein interactions, and miRNA-mRNA interactions involved in T2DM. RESULTS We extracted 2852, 8631, 5501, 3662, and 3753 DEGs from the expression profiles of GEO data sets GSE38642, GSE25724, GSE20966, GSE26887, and GSE23343, respectively. DEG analysis showed that 16 common genes were enriched in insulin secretion, endocrine resistance, and other T2DM-related pathways. Four DEGs, MAML3, EEF1D, NRG1, and CDK5RAP2, were important in the cluster network regulated by commonly targeted miRNAs (hsa-let-7b-5p, hsa-mir-155-5p, hsa-mir-124-3p, hsa-mir-1-3p), which are involved in the advanced glycation end products (AGE)-receptor for advanced glycation end products (RAGE) signaling pathway, culminating in diabetic complications and endocrine resistance. CONCLUSIONS This study identified tissue-specific DEGs in T2DM, especially pertaining to the heart, liver, and pancreas. We identified a total of 16 common DEGs and the top four common targeting miRNAs (hsa-let-7b-5p, hsa-miR-124-3p, hsa-miR-1-3p, and has-miR-155-5p). The miRNAs identified are involved in regulating various pathways, including the phosphatidylinositol-3-kinase-protein kinase B, endocrine resistance, and AGE-RAGE signaling pathways.

Galectins are defined as the glycan-binding protein containing either one or two carbohydrate-binding domains and participate in various biological functions such as developmental processes, vascularisation programs, cell migration, and immune-regulation and apoptosis. Galectins are also linked to many diseases, including cancer. They are widely spread in extracellular and intracellular spaces, and their altered expression in cancer leads to tumor progression, metastasis, angiogenesis and stemness through different signalling pathways. Promoter methylation, microRNA, and histone modification constitute the epigenetic changes that regulate galectin activity in cancer. Our review discusses the concept of epigenetics in cancer and how the aforementioned factors i.e., promoter methylation, histone modification, change in miRNAs expression affect the glycomic changes in malignancies.