ABSTRACT
Fatal influenza (flu) virus infection often activates excessive inflammatory signals, leading to multi-organ failure and death, also referred to as cytokine storm. PPARγ (Peroxisome proliferator-activated receptor gamma) agonists are well-known candidates for cytokine storm modulation. The present study identified that influenza infection reduced PPARγ expression and decreased PPARγ transcription activity in human alveolar macrophages (AMs) from different donors. Treatment with PPARγ agonist Troglitazone ameliorated virus-induced proinflammatory cytokine secretion but did not interfere with the IFN-induced antiviral pathway in human AMs. In contrast, PPARγ antagonist and knockdown of PPARγ in human AMs further enhanced virus-stimulated proinflammatory response. In a mouse model of influenza infection, flu virus dose-dependently reduced PPARγ transcriptional activity and decreased expression of PPARγ. Moreover, PPARγ agonist troglitazone significantly reduced high doses of influenza infection-induced lung pathology. In addition, flu infection reduced PPARγ expression in all mouse macrophages, including AMs, interstitial macrophages, and bone-marrow-derived macrophages but not in alveolar epithelial cells. Our results indicate that the influenza virus specifically targets the PPARγ pathway in macrophages to cause acute injury to the lung.
Subject(s)
Antiviral Agents , Influenza, Human , Lung , Macrophages , PPAR gamma , Troglitazone , Acute Lung Injury/drug therapy , Acute Lung Injury/genetics , Acute Lung Injury/immunology , Animals , Antiviral Agents/immunology , Antiviral Agents/therapeutic use , Cytokine Release Syndrome/drug therapy , Cytokine Release Syndrome/genetics , Cytokine Release Syndrome/immunology , Humans , Influenza, Human/drug therapy , Influenza, Human/genetics , Influenza, Human/immunology , Lung/immunology , Macrophages/immunology , Mice , Orthomyxoviridae , Orthomyxoviridae Infections/drug therapy , Orthomyxoviridae Infections/genetics , Orthomyxoviridae Infections/immunology , Orthomyxoviridae Infections/virology , PPAR gamma/agonists , PPAR gamma/genetics , PPAR gamma/immunology , Troglitazone/immunology , Troglitazone/therapeutic useABSTRACT
Drug-induced liver injury (DILI) causes one in three market withdrawals due to adverse drug reactions, causing preventable human suffering and massive financial loss. We applied evidence-based methods to investigate the role of preclinical studies in predicting human DILI using two anti-diabetic drugs from the same class, but with different toxicological profiles: troglitazone (withdrawn from US market due to DILI) and rosiglitazone (remains on US market). Evidence Stream 1: A systematic literature review of in vivo studies on rosiglitazone or troglitazone was conducted (PROSPERO registration CRD42018112353). Evidence Stream 2: in vitro data on troglitazone and rosiglitazone were retrieved from the US EPA ToxCast database. Evidence Stream 3: troglitazone- and rosiglitazone-related DILI cases were retrieved from WHO Vigibase. All three evidence stream analyses were conducted according to evidence-based methodologies and performed according to pre-registered protocols. Evidence Stream 1: 9288 references were identified, with 42 studies included in analysis. No reported biomarker for either drug indicated a strong hazard signal in either preclinical animal or human studies. All included studies had substantial limitations, resulting in "low" or "very low" certainty in findings. Evidence Stream 2: Troglitazone was active in twice as many in vitro assays (129) as rosiglitazone (60), indicating a strong signal for more off-target effects. Evidence Stream 3: We observed a fivefold difference in both all adverse events and liver-related adverse events reported, and an eightfold difference in fatalities for troglitazone, compared to rosiglitazone. In summary, published animal and human trials failed to predict troglitazone's potential to cause severe liver injury in a wider patient population, while in vitro data showed marked differences in the two drugs' off-target activities, offering a new paradigm for reducing drug attrition in late development and in the market. This investigation concludes that death and disability due to adverse drug reactions may be prevented if mechanistic information is deployed at early stages of drug development by pharmaceutical companies and is considered by regulators as a part of regulatory submissions.
Subject(s)
Chemical and Drug Induced Liver Injury/epidemiology , Diabetes Mellitus/drug therapy , Rosiglitazone/adverse effects , Troglitazone/adverse effects , Chemical and Drug Induced Liver Injury/pathology , Diabetes Mellitus/epidemiology , Drug-Related Side Effects and Adverse Reactions/epidemiology , Drug-Related Side Effects and Adverse Reactions/pathology , Humans , Hypoglycemic Agents , Liver/drug effects , Liver/pathology , Rosiglitazone/therapeutic use , Troglitazone/therapeutic useABSTRACT
Type II diabetes mellitus (T2DM) and obesity are two common pathophysiological conditions of metabolic syndrome (MetS), a collection of similar metabolic dysfunctions due to sedentary lifestyle and overnutrition. Obesity arises from improper adipogenesis which otherwise has a crucial role in maintaining proper metabolic functions. Downstream events arising from obesity have been linked to T2DM. The nuclear receptor peroxisome proliferator activator gamma (PPAR-γ), responsible for maintaining lipid and glucose homeostasis, is down-regulated under obesity leading to a weakened insulin sensitivity of the human body. In course of our review we will outline details of the down-regulation mechanism, provide an overview of the current clinical therapeutics and their shortcomings. Toxicity studies on the seminal drug troglitazone, belonging to the most effective glitazone anti-diabetic category, is also discussed. This will lead to an overview about structural adaptations on the existing glitazones to alleviate their side effects and toxicity. Finally, we forward a concept of novel therapeutics mimicking the glitazone framework, based on some design concepts and preliminary in silico studies. These could be later developed into dual acting drugs towards alleviating the deleterious effects of obesity on normal glucose metabolism, and address obesity in itself.
Subject(s)
Diabetes Mellitus, Type 2/drug therapy , Glucose/metabolism , Metabolic Syndrome/drug therapy , Obesity/drug therapy , Adipogenesis/drug effects , Diabetes Mellitus, Type 2/complications , Humans , Hypoglycemic Agents/therapeutic use , Insulin Resistance/genetics , Metabolic Syndrome/complications , Metabolic Syndrome/genetics , Obesity/complications , Obesity/genetics , PPAR gamma/genetics , Thiazolidinediones/therapeutic use , Troglitazone/therapeutic useABSTRACT
OBJECTIVE: We assessed whether changes in metabolic syndrome (MetS) severity during the treatment of prediabetes are associated with reduced risk of type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS: We analyzed data from the Diabetes Prevention Program (DPP) for 2,476 adults in 1996-1999 with prediabetes randomized to receive treatment with lifestyle modification, metformin, or placebo for 2-3 years and followed through 2014 for T2DM and CVD outcomes. We calculated effect sizes from baseline in a MetS severity z score (MetS-Z) and the individual MetS components, and assessed relationships between 1-year effect size and incident T2DM and CVD using hazard ratios (HRs) and mediation analysis. RESULTS: Baseline MetS-Z and its components were associated with risk of incident T2DM and CVD. During year 1 of intervention, MetS-Z and its components decreased most with lifestyle modification, followed by treatment with metformin and placebo. Risk of T2DM within 1-5 years was most strongly associated with 1-year changes in MetS-Z and waist circumference (both HRs for a 1 SD increase = 1.80), whereas the risk of CVD was associated with a 1-year change in MetS-Z, glucose, and systolic blood pressure. In mediation analyses, the effect of lifestyle modification on T2DM risk was mediated by 1-year changes in MetS-Z, waist circumference, glucose, and triglycerides, whereas the effect of metformin was mediated by MetS-Z and glucose. CONCLUSIONS: Changes in these risk indicators of MetS severity during intervention in the DPP reflect altered disease risk and may help in tracking earlier responses to treatment and in motivating patients.