Metformin mediates MicroRNA-21 regulated circulating matrix metalloproteinase-9 in diabetic nephropathy: an in-silico and clinical study.

Metformin is commonly used as an oral hypoglycaemic agent in type 2 diabetes mellitus (T2DM). MicroRNA-21 is widely studied in diabetic and diabetic nephropathy (DN) patients. Matrix metalloproteinase-9 (MMP9) is involved in extracellular matrix degradation and tissue repair processes. However, the effect of metformin administration on hsa-miR-21-5p and MMP9 has not been evaluated in T2DM and DN patients. The study subjects were divided into three groups (Healthy controls = 36, T2DM = 38, DN = 35). Anthropometric measurements were taken and biochemical tests were carried out on fasting blood samples. Reverse transcriptase PCR was employed for whole blood gene expression analysis of hsa-miR-21-5p and MMP9. Bioinformatics analyses including drug-gene interaction, protein-protein interaction, functional enrichment analyses and co-expression networks were performed. In the present study, MMP9 and hsa-miR-21-5p levels were downregulated and upregulated respectively in T2DM and DN patients when compared with healthy controls. However, in metformin-treated group, a downregulation of hsa-miR-21-5p and upregulation of MMP9 was observed. In-silico analysis revealed the target genes involved in the miR-21 and MMP9 interaction network. Metformin directly targets miR-21 and regulates MMP9 expression in T2DM patients, influencing the pathogenesis of DN.HighlightsMMP-9 and hsa-miR-21-5p were downregulated and upregulated respectively in T2DM and DN patients in a Western Indian population.The patients treated with metformin showed downregulation of hsa-miR-21-5p and upregulation of MMP9.In-silico analysis revealed MMP-9 as well as PTEN to be targets of hsa-miR-21-5p.Metformin regulates MMP9 expression in T2DM and DN patient populations through hsa-miR-21-5p.

Relationship between biochemical parameters of mineral bone disease and static bone histomorphometry in chronic kidney disease patients on hemodialysis: An Indian cross-section study.

AIM: We estimated the relationship between routine biochemical laboratory parameters with static bone histomorphometric parameters and their high and low bone turnover capacity predictability in hemodialysis patients. METHOD: It was a single-center cross-sectional study, included 28 hemodialysis patients. The routine biochemical parameters measured including calcium, phosphorous, alkaline phosphatase, intact PTH, and 25-hydroxycholecalciferol. The histomorphometric parameters assessed were osteoblasts perimeter, osteoclast perimeter, eroded perimeter, osteoid perimeter, bone fibrosis and bone volume. RESULT: Total 28 hemodialysis patients underwent bone biopsy. Seventy percent were male, with a mean age was 33.07±10.42 yrs; serum alkaline phosphatase was 219.10±311.3IU/ml; vitamin D was 18.18±9.56ng/ml, and intact PTH was 650.7±466.0pg/ml. Intact PTH had a significant positive association with osteoblast, osteoclast, eroded surface, and osteoid perimeter. Serum alkaline phosphatase had a significant relationship with bone fibrosis (r=0.525, p-value=0.004). Intact PTH was significantly higher in females than males (1078.75±533.04 vs. 479.6±309.83; p-value=0.004). The osteoid surface was significantly high in females compared to males (p=0.038). Age had a significant impact on osteoblast and eroded surface (p=0.008 and p=0.031, respectively). Intact PTH is a reliable biomarkers for bone turnover compare to ALP (p<0.001 and p=0.554, respectively). CONCLUSION: Intact PTH strongly associated with bone formation, bone resorption parameters. Gender and age had significant impact on static histomorphometric parameters in our study.

The Differentially Expressed Genes Responsible for the Development of T Helper 9 Cells From T Helper 2 Cells in Various Disease States: Immuno-Interactomics Study.

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.

Daily plasma exchange in severe Guillain-Barré syndrome helps in early weaning from ventilator: A lesson from a case.

Intravenous immunoglobulin (IVIG) and therapeutic plasma exchange (TPE) are well-known therapeutic modalities in Guillain-Barré syndrome (GBS). In developing countries like India, where plasma-derived products (IVIG) are not easily available, and affordable TPE is preferred. Here, we reported a case of severe GBS, who was treated with daily plasma exchange (PLEX) rather than recommended alternate day schedule. A 16-year-old male adolescent of severe GBS, i.e., on mechanical ventilator was treated with the plasmapheresis regimen consisted of removal of 1.3 plasma volumes in each cycle for total of five cycles, on daily basis. The patient's condition started improving after three cycles of TPE with power in the upper limbs 4/5 and lower limbs 3/5 and completely weaned off from ventilator after the 4th TPE, i.e. the 4th day of admission. This case emphasizes the need of daily PLEX regimen particularly in severe GBS patients because early weaning from ventilator reduces the ventilator-associated complications, hospital stay as wells as less morbidity, and mortality in severe GBS.

Metabolite characterisation in peritoneal dialysis effluent using high-resolution (1) H and (1) H-(13) C NMR spectroscopy.

Metabolite analysis of peritoneal dialysis (PD) effluent may provide information regarding onset and progression of complications associated with prolonged PD therapy. In this context, the nuclear magnetic resonance detectable small metabolites of PD effluent samples were characterised using high-resolution (1) H and (1) H-(13) C NMR spectroscopy. The various spectra were recorded (at 800 MHz proton frequency) on PD effluent samples obtained after 4-h (intraperitoneal) dwell time from patients with end-stage renal failure and continuing normally on PD therapy. In spite of devastating spectral feature of PD effluent due to the presence of intense resonances from glucose and lactate, we were able to identify 53 small endogenous metabolites (including many complex coupled spin systems) and more than 90% of the total CH cross peaks of (1) H-(13) C heteronuclear single-quantum correlation spectrum specific to various metabolites of PD effluent. We foresee that the characteristic fingerprints of various metabolites of control PD effluent samples will be used to identify and distinguish metabolic differences from PD-related complications.