Altered expression of long noncoding RNA (lncRNA), longer than 200 nucleotides without potential for coding protein, has been observed in diverse human diseases including viral diseases. It is largely unknown whether lncRNA would deregulate in SARS-CoV-2 infection, causing ongoing pandemic COVID-19. To identify, if lncRNA was deregulated in SARS-CoV-2 infected cells, we analyzed in silico the data in GSE147507. It was revealed that expression of 20 lncRNA like MALAT1, NEAT1 was increased and 4 lncRNA like PART1, TP53TG1 was decreased in at least two independent cell lines infected with SARS-CoV-2. Expression of NEAT1 was also increased in lungs tissue of COVID-19 patients. The deregulated lncRNA could interact with more than 2800 genes/proteins and 422 microRNAs as revealed from the database that catalogs experimentally determined interactions. Analysis with the interacting gene/protein partners of deregulated lncRNAs revealed that these genes/proteins were associated with many pathways related to viral infection, inflammation and immune functions. To find out whether these lncRNAs could be regulated by STATs and interferon regulatory factors (IRFs), we used ChIPBase v2.0 that catalogs experimentally determined binding from ChIP-seq data. It was revealed that any one of the transcription factors IRF1, IRF4, STAT1, STAT3 and STAT5A had experimentally determined binding at regions within -5kb to +1kb of the deregulated lncRNAs in at least 2 independent cell lines/conditions. Our analysis revealed that several lncRNAs could be regulated by IRF1, IRF4 STAT1 and STAT3 in response to SARS-CoV-2 infection and lncRNAs might be involved in antiviral response. However, these in silico observations are necessary to be validated experimentally.

Background and Objectives:Nonalcoholic fatty liver disease (NAFLD) and dysglycemia are public health challenges. There is urgent need for anthropometric surrogates for NAFLD screening. This study evaluated role of neck circumference (NC) and neck-height ratio (NHtR) as predictors of liver stiffness measure (LSM) in individuals with prediabetes (IPD).Methods:In a cross-sectional study, 188 IPD from 1130 screened individuals underwent anthropometry, ultrasonography, Fibroscan® for LSM, dyslipidemia, insulin resistance (IR), and fetuin-A assessment.Results:Hypertension, hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), metabolic syndrome (MetS), NAFLD, and significant liver stiffness (SLS) (LSM >8.5kPa) were observed in 53.7%, 31.4%, 71.3%, 73.9%, 24.5%, and 11.2% prediabetes individuals, respectively. Prediabetes with NAFLD had significantly higher body mass index (BMI), NC, NHtR, glycated hemoglobin, triglycerides, fatty liver index (FLI), and LSM. Prediabetes in highest NHtR quartile had significantly higher BMI, hypertension, MetS, fasting glucose, glycated hemoglobin, homeostatic model assessment-IR, NAFLD, LSM, SLS, and lower HDL-C. Stepwise forward linear regression revealed that NHtR, FLI, and LDL-C were best predictors of LSM, at baseline (Model-1), after adjusting for age and sex (Model-2), and adjusting model-2 plus systolic and diastolic blood pressure (Model-3). NHtR and NC (in females) and NHtR and BMI (in males) had largest area under the curves for predicting LSM, NAFLD, and MetS. NHtR ≥21.54 cm/m (sensitivity: 90%; specificity: 52.5%; females) and ≥21.62 cm/m (sensitivity: 80%; specificity: 49.4%; males) was best predictor of SLS.Interpretation and Conclusion:NHtR is a reliable tool for community screening of NAFLD and liver stiffness in prediabetes.

Background: Type 1 diabetes is associated with several disease-related and other organ-specific autoimmune disorders. Data related to various auto-antibodies in Type 1 diabetes in India is limited. Materials and Methods: In this cross sectional study, 92 subjects with T1DM (33 males, 59 females) were evaluated for T1DM related antibodies (autoantibodies to glutamic acid decarboxylase (anti-GAD), autoantibodies to protein tyrosine phosphatise (anti-IA2), anti-islet cell antibody (ICA), insulin autoantibody (IAA), anti-Zinc Transporter(ZnT8) and other organ specific auto antibodies like anti–thyroid peroxidase (anti-TPO), anti-thyroglobulin (TgAb), IgA anti-tissue transglutaminase (IgA anti-tTG), anti-21-hydroxylase, and anti-ovarian antibody (in females). Results: Anti-GAD, IA-2, islet cell antibody, insulin autoantibodies (IAA), ZnT8 antibody were present in 79.3%, 32.6%, 61.9%, 63%, and 20.65% subjects, respectively. Only 2.2% patients with Type 1 diabetes were antibody negative. At least one antibody was found in 97.8% and at least two antibodies in 67.3%. The presence of anti-TPO, anti-thyroglobulin, IgA anti-tissue transglutaminase, anti 21-hydroxylase were found in 51%, 25%, 22.8%, and 2.1%, respectively. Anti-ovarian antibody was absent in all females of our study population. The duration of diabetes positively correlated with the number of T1DM specific antibody and also with GAD antibody positivity. Anti TPO positivity correlated with the age of onset of T1DM, but not with the duration of disease or presence of other T1DM specific autoantibody. Conclusions: T1DM is associated with a high prevalence of autoantibodies and antibody negative T1DM is rare. The association with other organ specific antibody (especially thyroid and adrenal glands) and celiac disease is also substantial, which reinforces the importance of regular thyroid and celiac disease screening in T1DM subjects. The duration of diabetes positively correlated with number of T1DM specific antibodies.

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Background: Studies evaluating endocrine and exocrine functions in fibrocalculous pancreatic diabetes (FCPD) are scarce. Methods: Insulin, C-peptide, glucagon, incretin hormones (glucagon-like peptide 1 [GLP-1] and gastric inhibitory peptide [GIP]), and dipeptidyl peptidase IV (DPP-IV) were estimated in patients with FCPD (n = 20), type 2 diabetes mellitus (T2DM) (n = 20), and controls (n = 20) in fasting and 60 minutes after 75 g glucose. Results: Fasting and post-glucose C-peptide and insulin in FCPD were lower than that of T2DM and controls. Plasma glucagon decreased after glucose load in controls (3.72, 2.29), but increased in T2DM (4.01, 5.73),and remained unchanged in FCPD (3.44, 3.44). Active GLP-1 (pmol/L) after glucose load increased in FCPD (6.14 to 9.72, P = <.001), in T2DM (2.87 to 4.62, P < .001), and in controls (3.91 to 6.13, P < .001). Median active GLP-1 in FCPD, both in fasting and post-glucose state (6.14, 9.72), was twice that of T2DM (2.87, 4.62) and 1.5 times that of controls (3.91, 6.13) (P < .001 for all). Post-glucose GIP (pmol/L) increased in all: FCPD (15.83 to 94.14), T2DM (21.85 to 88.29), and control (13.00 to 74.65) (P < .001 for all). GIP was not different between groups. DPP-IV concentration (ng/mL) increased in controls (1578.54, 3012.00) and FCPD (1609.95, 1995.42), but not in T2DM (1204.50, 1939) (P = .131). DPP-IV between the three groups was not different. Fecal elastase was low in FCPD compared with T2DM controls. Conclusions:In FCPD, basal C-peptide and glucagon are low, and glucagon does not increase after glucose load. GLP-1, but not GIP, in FCPD increases 1.5 to 2 times as compared with T2DM and controls (fasting and post glucose) without differences in DPP-IV.