Diagnosis and Management of Myotonic Dystrophy Type 1.

This JAMA Insights discusses the signs and symptoms, diagnosis, and treatment of myotonic dystrophy type 1.

Risk Factors for COVID-19 and Rheumatic Disease Flare in a US Cohort of Latino Patients.

OBJECTIVE: Latino patients are overrepresented among cases of coronavirus disease 2019 (COVID-19) and are at an increased risk of severe disease. Prevalence of COVID-19 in Latinos with rheumatic diseases is poorly reported. This study was undertaken to characterize COVID-19 clinical features and outcomes in Latino patients with rheumatic diseases. METHODS: We conducted a retrospective study of Latino patients with rheumatic diseases from an existing observational cohort in the Washington, DC area. Patients seen between April 1, 2020 and October 15, 2020 were analyzed in this study. We reviewed demographic characteristics, body mass index (BMI), comorbidities, and use of immunomodulatory therapies. An exploratory classification and regression tree (CART) analysis along with logistic regression analyses were performed to identify risk factors for COVID-19 and rheumatic disease flare. RESULTS: Of 178 Latino patients with rheumatic diseases, 32 (18%) were identified as having COVID-19, and the incidence rate of infection was found to be 3-fold higher than in the general Latino population. No patients required intensive care unit-level care. A CART analysis and multivariable logistic regression analysis identified a BMI of >30.35 as a risk factor for COVID-19 (odds ratio [OR] 3.37 [95% confidence interval (95% CI) 1.5-7.7]; P = 0.004). COVID-19 positivity was a risk factor for rheumatic disease flare (OR 4.57 [95% CI 1.2-17.4]; P = 0.02). CONCLUSION: Our findings indicate that Latino patients with rheumatic diseases have a higher rate of COVID-19 compared with the general Latino population. Obesity is a risk factor for COVID-19, and COVID-19 is a risk factor for rheumatic disease flare. Latino patients with risk factors should be closely followed up, especially post-COVID-19 in anticipation of disease flare.

In vivo liposomal delivery of PPARα/γ dual agonist tesaglitazar in a model of obesity enriches macrophage targeting and limits liver and kidney drug effects.

Macrophages are important regulators of obesity-associated inflammation and PPARα and -γ agonism in macrophages has anti-inflammatory effects. In this study, we tested the efficacy with which liposomal delivery could target the PPARα/γ dual agonist tesaglitazar to macrophages while reducing drug action in common sites of drug toxicity: the liver and kidney, and whether tesaglitazar had anti-inflammatory effects in an in vivo model of obesity-associated dysmetabolism. Methods: Male leptin-deficient (ob/ob) mice were administered tesaglitazar or vehicle for one week in a standard oral formulation or encapsulated in liposomes. Following the end of treatment, circulating metabolic parameters were measured and pro-inflammatory adipose tissue macrophage populations were quantified by flow cytometry. Cellular uptake of liposomes in tissues was assessed using immunofluorescence and a broad panel of cell subset markers by flow cytometry. Finally, PPARα/γ gene target expression levels in the liver, kidney, and sorted macrophages were quantified to determine levels of drug targeting to and drug action in these tissues and cells. Results: Administration of a standard oral formulation of tesaglitazar effectively treated symptoms of obesity-associated dysmetabolism and reduced the number of pro-inflammatory adipose tissue macrophages. Macrophages are the major cell type that took up liposomes with many other immune and stromal cell types taking up liposomes to a lesser extent. Liposome delivery of tesaglitazar did not have effects on inflammatory macrophages nor did it improve metabolic parameters to the extent of a standard oral formulation. Liposomal delivery did, however, attenuate effects on liver weight and liver and kidney expression of PPARα and -γ gene targets compared to oral delivery. Conclusions: These findings reveal for the first time that tesaglitazar has anti-inflammatory effects on adipose tissue macrophage populations in vivo. These data also suggest that while nanoparticle delivery reduced off-target effects, yet the lack of tesaglitazar actions in non-targeted cells such (as hepatocytes and adipocytes) and the uptake of drug-loaded liposomes in many other cell types, albeit to a lesser extent, may have impacted overall therapeutic efficacy. This fulsome analysis of cellular uptake of tesaglitazar-loaded liposomes provides important lessons for future studies of liposome drug delivery.

Importance of thorough tissue and cellular level characterization of targeted drugs in the evaluation of pharmacodynamic effects.

Targeted nanoparticle delivery is a promising strategy for increasing efficacy and limiting side effects of therapeutics. When designing a targeted liposomal formulation, the in vivo biodistribution of the particles must be characterized to determine the value of the targeting approach. Peroxisome proliferator-activated receptor (PPAR) agonists effectively treat metabolic syndrome by decreasing dyslipidemia and insulin resistance but side effects have limited their use, making them a class of compounds that could benefit from targeted liposomal delivery. The adipose targeting sequence peptide (ATS) could fit this role, as it has been shown to bind to adipose tissue endothelium and induce weight loss when delivered conjugated to a pro-apoptotic peptide. To date, however, a full assessment of ATS in vivo biodistribution has not been reported, leaving important unanswered questions regarding the exact mechanisms whereby ATS targeting enhances therapeutic efficacy. We designed this study to evaluate the biodistribution of ATS-conjugated liposomes loaded with the PPARα/γ dual agonist tesaglitazar in leptin-deficient ob/ob mice. The ATS-liposome biodistribution in adipose tissue and other organs was examined at the cellular and tissue level using microscopy, flow cytometry, and fluorescent molecular tomography. Changes in metabolic parameters and gene expression were measured by target and off-target tissue responses to the treatment. Unexpectedly, ATS targeting did not increase liposomal uptake in adipose relative to other tissues, but did increase uptake in the kidneys. Targeting also did not significantly alter metabolic parameters. Analysis of the liposome cellular distribution in the stromal vascular fraction with flow cytometry revealed high uptake by multiple cell types. Our findings highlight the need for thorough study of in vivo biodistribution when evaluating a targeted therapy.

Strategy to increase agricultural medicine practice: an exploratory study to predict interest among generalists.

Across the nation, farmers, farmworkers and their families experience an increased risk of death, illness and disability. A major concern is to determine how medical education and the medical profession can realize their potential to benefit the agricultural community. This exploratory study was completed to identify factors that might predict interest in practice of agricultural medicine among primary care physicians. Two hundred seventy-eight Alabama primary care physicians, almost equally distributed as urban and rural, completed a questionnaire that surveyed interest in agromedicine practice, experience regarding 13 agromedicine topics, and other physician characteristics. Through a logistic regression model, interest in agromedicine practice was predicted by a high proportion of practice experience in smaller communities, agromedicine experience through personal hobby or avocation, and through professional literature. These three significant variables correctly predicted a moderate to high level of interest in agromedicine practice in 65% of the physicians in the study. If these results hold up with confirmatory study, the authors recommend that targeted efforts to produce physicians for agricultural medicine should prepare physicians whose backgrounds are rural and whose interests include agricultural and family medicine, thus predicting location and practice relevant to the needs of the agricultural community.