Clinical profile of hospitalised moderate category COVID-19 patients: Short study from a Tertiary Care Centre in Delhi.

Background: The clinical profile of hospitalized moderate-category COVID-19 patients has been understudied globally and in India. Aim: The present study was conducted to study the clinical profile and assess the proportions of patients who progressed to severe disease and its predictors among moderate COVID-19 patients. Materials and Methods: In this single-center observational study, 100 moderate-category COVID-19 patients as per Ministry of Health and Family Welfare (MoHFW) criteria of age ≥18 years of either sex, excluding pregnant females from February to November 2021, were studied by analyzing their clinical profiles and assessing Quick Sequential Organ Failure Assessment (qSOFA), National Early Warning Score 2 (NEWS-2), and chest computed-tomography severity score (CTSS) to predict progression to severe disease. Severe disease was defined as per MoHFW criteria. Results: Out of 100 moderate-category COVID-19 patients, progression to severe disease was seen in 11 patients (11%), among which eight patients had expired, three patients were discharged, and the rest of the 89 patients (89%) who did not progress to severe disease were discharged. A higher age (62.2± 19.5 vs 54.8 ± 14.6 years), along with multivariate analysis revealing male sex (1.25 times), chronic kidney disease (2.86 times), leukocytosis (6.10 times), thrombocytopenia (1.04 times), anemia (9.3 times), a higher qSOFA score (3.6 times), and a higher NEWS-2 score on admission (1.56 times) had higher odds of progression to severe disease. A significant correlation (P < .05) of qSOFA score with serum LDH, ferritin, and hs-CRP levels; CT severity score with the serum ferritin, IL-6, and LDH levels; and NEWS-2 with serum LDH, hs-CRP, and ferritin levels were found. Moreover, the NEWS-2 score was found slightly better than qSOFA on receiver operating characteristic (ROC) curve analysis, with an area under the curve of 85.8% and 83.2%, respectively, predicting progression to severe disease. Conclusion: Our study revealed male gender, chronic kidney disease, leukocytosis, anemia, thrombocytopenia, a higher qSOFA and NEWS-2 score on admission, and further, NEWS-2 score better than qSOFA on ROC curve analysis, with an area under the curve of 85.8% and 83.2%, respectively, in predicting severe disease among hospitalized moderate COVID-19 patients.

Systemic inflammatory response syndrome criteria (SIRS) and sepsis 3 criteria for assessing outcomes in sepsis: A prospective observational study.

Background: Sepsis is a major cause of death in hospitalised patients worldwide. Most studies for assessing outcomes in sepsis are from the western literature. Sparse data from Indian settings are available comparing the systemic inflammatory response syndrome (SIRS), Sequential Organ Failure Assessment (SOFA) and quick SOFA (qSOFA) (sepsis 3 criteria) for assessing outcomes in sepsis. In this study, we aimed to compare the SIRS criteria and sepsis 3 criteria to assess disease outcome at day 28 (recovery/mortality) in a North Indian tertiary care teaching hospital. Methods: A prospective observational study was performed in the Department of Medicine from 2019 to early 2020. Patients admitted to the medical emergency with clinical suspicion of sepsis were included. Systemic inflammatory response syndrome, qSOFA and SOFA scores were calculated at the time of presentation to the hospital. Patients were followed through the course of their hospital stay. Results: Out of 149 patients, 139 were included in the analysis. Patients who died had significantly higher mean SOFA, qSOFA scores and mean change in SOFA score than patients who survived (P value <0.01). There was no statistical difference between recovery and deaths at similar SIRS scores. A 40.30% fatality rate was recorded. Systemic inflammatory response syndrome had low Area Under Curve (AUC) (0.47) with low sensitivity (76.8) and specificity (21.7). SOFA had the maximum AUC (0.68) compared to qSOFA (0.63) and SIRS (0.47). SOFA also had the maximum sensitivity (98.1) while the qSOFA score had the maximum specificity (84.3). Conclusion: SOFA and qSOFA scores had superior predictive ability as compared to the SIRS score in assessing mortality in sepsis patients.

Massive hemoptysis causing mortality in a post COVID-19 infected Asian male patient: Presenting as pulmonary mucormycosis, pulmonary tuberculosis and later sino-nasal mucormycosis.

While the developed nations are discussing giving a third dose of the COVID-19 vaccine to immunocompromised individuals, there are still challenges that are of global concern, especially in developing countries. The Delta variant which is predominantly responsible for the disease burden has now been reported in over 148 countries. The catastrophe caused in the Indian subcontinent has highlighted some associations, most notable being the unprecedented rise in the cases of mucormycosis in COVID-19 patients referred to as CAM (COVID-19 associated mucormycosis). This life-threatening opportunistic fungal infection which was historically associated with immunosuppression has reached a new peak as its incidence has increased many folds with the advent of COVID-19. Here we present one of the very first Case reports on how to post COVID immunosuppression state, uncontrolled blood sugar levels in the background of diabetic ketoacidosis led to the development of pulmonary mucormycosis with superimposed pulmonary tuberculosis and later Sino-nasal mucormycosis eventually leading to life-threatening massive hemoptysis, causing mortality of a post-COVID-19 infected middle-aged diabetic Asian male patient who presented twenty days after COVID-19 infection. However, our patient did not have risk factors such as severe COVID-19 infection requiring hospitalization, use of steroids or other immunomodulatory drugs like remdesivir or tocilizumab. Our case report aims to bring forth this post COVID pulmonary mucormycosis with pulmonary tuberculosis association as well as highlight the fact that tuberculosis is still a major public health burden that should not be forgotten in the fight to combat the pandemic.

Identification and mechanism of 10-carbon fatty acid as modulating ligand of peroxisome proliferator-activated receptors.

Peroxisome proliferator-activated receptors (PPARα, -ß/δ, and -γ) are a subfamily of nuclear receptors that plays key roles in glucose and lipid metabolism. PPARγ is the molecular target of the thiazolidinedione class of antidiabetic drugs that has many side effects. PPARγ is also activated by long chain unsaturated or oxidized/nitrated fatty acids, but its relationship with the medium chain fatty acids remains unclear even though the medium chain triglyceride oils have been used to control weight gain and glycemic index. Here, we show that decanoic acid (DA), a 10-carbon fatty acid and a major component of medium chain triglyceride oils, is a direct ligand of PPARγ. DA binds and partially activates PPARγ without leading to adipogenesis. Crystal structure reveals that DA occupies a novel binding site and only partially stabilizes the AF-2 helix. DA also binds weakly to PPARα and PPARß/δ. Treatments with DA and its triglyceride form improve glucose sensitivity and lipid profiles without weight gain in diabetic mice. Together, these results suggest that DA is a modulating ligand for PPARs, and the structure can aid in designing better and safer PPARγ-based drugs.

Digoxin and its derivatives suppress TH17 cell differentiation by antagonizing RORγt activity.

CD4(+) T helper lymphocytes that express interleukin-17 (T(H)17 cells) have critical roles in mouse models of autoimmunity, and there is mounting evidence that they also influence inflammatory processes in humans. Genome-wide association studies in humans have linked genes involved in T(H)17 cell differentiation and function with susceptibility to Crohn's disease, rheumatoid arthritis and psoriasis. Thus, the pathway towards differentiation of T(H)17 cells and, perhaps, of related innate lymphoid cells with similar effector functions, is an attractive target for therapeutic applications. Mouse and human T(H)17 cells are distinguished by expression of the retinoic acid receptor-related orphan nuclear receptor RORγt, which is required for induction of IL-17 transcription and for the manifestation of T(H)17-dependent autoimmune disease in mice. By performing a chemical screen with an insect cell-based reporter system, we identified the cardiac glycoside digoxin as a specific inhibitor of RORγt transcriptional activity. Digoxin inhibited murine T(H)17 cell differentiation without affecting differentiation of other T cell lineages and was effective in delaying the onset and reducing the severity of autoimmune disease in mice. At high concentrations, digoxin is toxic for human cells, but non-toxic synthetic derivatives 20,22-dihydrodigoxin-21,23-diol and digoxin-21-salicylidene specifically inhibited induction of IL-17 in human CD4(+) T cells. Using these small-molecule compounds, we demonstrate that RORγt is important for the maintenance of IL-17 expression in mouse and human effector T cells. These data indicate that derivatives of digoxin can be used as chemical templates for the development of RORγt-targeted therapeutic agents that attenuate inflammatory lymphocyte function and autoimmune disease.

Identification of a physiologically relevant endogenous ligand for PPARalpha in liver.

The nuclear receptor PPARalpha is activated by drugs to treat human disorders of lipid metabolism. Its endogenous ligand is unknown. PPARalpha-dependent gene expression is impaired with inactivation of fatty acid synthase (FAS), suggesting that FAS is involved in generation of a PPARalpha ligand. Here we demonstrate the FAS-dependent presence of a phospholipid bound to PPARalpha isolated from mouse liver. Binding was increased under conditions that induce FAS activity and displaced by systemic injection of a PPARalpha agonist. Mass spectrometry identified the species as 1-palmitoyl-2-oleoyl-sn-glycerol-3-phosphocholine (16:0/18:1-GPC). Knockdown of Cept1, required for phosphatidylcholine synthesis, suppressed PPARalpha-dependent gene expression. Interaction of 16:0/18:1-GPC with the PPARalpha ligand-binding domain and coactivator peptide motifs was comparable to PPARalpha agonists, but interactions with PPARdelta were weak and none were detected with PPARgamma. Portal vein infusion of 16:0/18:1-GPC induced PPARalpha-dependent gene expression and decreased hepatic steatosis. These data suggest that 16:0/18:1-GPC is a physiologically relevant endogenous PPARalpha ligand.