RESUMEN
Idiopathic Pulmonary Fibrosis (IPF) is a grave disease characterized by abnormal wound healing associated with chronic, progressive, irreversible fatal lung disease, leading to persistent injuries to the alveolar epithelium. A consequent disturbance of fibroblast proliferation and apoptosis results in subsequent release of pro-inflammatory and pro-fibrotic mediators coupled with accumulation of extracellular matrix within the interstitium. Inexorable distortion of lung alveolar architecture leads to respiratory failure with a median survival rate of 3-5 years. Currently available drugs can only slowdown the progression of fibrosis and novel drugs are warranted to treat this disease. In this study, we demonstrate the fibro-protective effect of diosgenin in experimental lung fibrosis through regulation of Epithelial Mesenchymal Transition (EMT). A single dose of 3 U/kg body weight (b.wt) Bleomycin (BLM) was administered intratracheally in Wistar male albino rats and fibrotic animals were treated with diosgenin (100 mg/kg b.wt) orally for 28 days. BLM administered rat show histological alteration with increased mast cell and collagen accumulation. BLM induced abnormalities were significantly reduced upon treatment with diosgenin. Western blot analysis revealed an increased level of pro-inflammatory and pro-fibrotic molecules such as IL-1ß and TGF-ß in BLM induced rats. Rats supplemented with diosgenin showed a decreased expression of inflammatory and pro-fibrotic mediators. Markers of EMT molecules were evaluated by immunoblot. The results of immunoblot demonstrate that diosgenin regulated the expression of TGF-ß mediated EMT. Hence, from the overall study, administration of diosgenin prevents pulmonary fibrosis by restraint inflammation and EMT.
Asunto(s)
Diosgenina , Fibrosis Pulmonar , Animales , Bleomicina/toxicidad , Diosgenina/metabolismo , Diosgenina/farmacología , Diosgenina/uso terapéutico , Transición Epitelial-Mesenquimal , Pulmón , Masculino , Fibrosis Pulmonar/inducido químicamente , Fibrosis Pulmonar/tratamiento farmacológico , Fibrosis Pulmonar/prevención & control , Ratas , Ratas Wistar , Factor de Crecimiento Transformador beta/metabolismo , Factor de Crecimiento Transformador beta/farmacología , Factor de Crecimiento Transformador beta/uso terapéutico , Factor de Crecimiento Transformador beta1/metabolismoRESUMEN
Data science has been an invaluable part of the COVID-19 pandemic response with multiple applications, ranging from tracking viral evolution to understanding the effectiveness of interventions. Asymptomatic breakthrough infections have been a major problem during the ongoing surge of Delta variant globally. Serological discrimination of vaccine response from infection has so far been limited to Spike protein vaccines used in the higher-income regions. Here, we show for the first time how statistical and machine learning (ML) approaches can discriminate SARS-CoV-2 infection from immune response to an inactivated whole virion vaccine (BBV152, Covaxin, India), thereby permitting real-world vaccine effectiveness assessments from cohort-based serosurveys in Asia and Africa where such vaccines are commonly used. Briefly, we accessed serial data on Anti-S and Anti-NC antibody concentration values, along with age, sex, number of doses, and number of days since the last vaccine dose for 1823 Covaxin recipients. An ensemble ML model, incorporating a consensus clustering approach alongside the support vector machine (SVM) model, was built on 1063 samples where reliable qualifying data existed, and then applied to the entire dataset. Of 1448 self-reported negative subjects, 724 were classified as infected. Since the vaccine contains wild-type virus and the antibodies induced will neutralize wild type much better than Delta variant, we determined the relative ability of a random subset of such samples to neutralize Delta versus wild type strain. In 100 of 156 samples, where ML prediction differed from self-reported uninfected status, Delta variant, was neutralized more effectively than the wild type, which cannot happen without infection. The fraction rose to 71.8% (28 of 39) in subjects predicted to be infected during the surge, which is concordant with the percentage of sequences classified as Delta (75.6%-80.2%) over the same period.
RESUMEN
To understand the spread of SARS-CoV2, in August and September 2020, the Council of Scientific and Industrial Research (India), conducted a sero-survey across its constituent laboratories and centers across India. Of 10,427 volunteers, 1058 (10.14%) tested positive for SARS CoV2 anti-nucleocapsid (anti-NC) antibodies; 95% with surrogate neutralization activity. Three-fourth recalled no symptoms. Repeat serology tests at 3 (n=346) and 6 (n=35) months confirmed stability of antibody response and neutralization potential. Local sero-positivity was higher in densely populated cities and was inversely correlated with a 30 day change in regional test positivity rates (TPR). Regional seropositivity above 10% was associated with declining TPR. Personal factors associated with higher odds of sero-positivity were high-exposure work (Odds Ratio, 95% CI, p value; 2{middle dot}23, 1{middle dot}92-2{middle dot}59, 6{middle dot}5E-26), use of public transport (1{middle dot}79, 1{middle dot}43-2{middle dot}24, 2{middle dot}8E-06), not smoking (1{middle dot}52, 1{middle dot}16-1{middle dot}99, 0{middle dot}02), non-vegetarian diet (1{middle dot}67, 1{middle dot}41-1{middle dot}99, 3{middle dot}0E-08), and B blood group (1{middle dot}36,1{middle dot}15-1{middle dot}61, 0{middle dot}001). Impact StatementWidespread asymptomatic and undetected SARS-CoV2 infection affected more than a 100 million Indians by September 2020. Declining new cases thereafter may be due to persisting humoral immunity amongst sub-communities with high exposure. FundingCouncil of Scientific and Industrial Research, India (CSIR)