Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites.

INTRODUCTION: Metoprolol succinate is a long-acting beta-blocker prescribed for the management of hypertension (HTN) and other cardiovascular diseases. Metabolomics, the study of end-stage metabolites of upstream biologic processes, yield insight into mechanisms of drug effectiveness and safety. Our aim was to determine metabolomic profiles associated with metoprolol effectiveness for the treatment of hypertension. METHODS: We performed a prospective pragmatic trial (NCT02293096) that enrolled patients between 30 and 80 years with uncontrolled HTN. Patients were started on metoprolol succinate at a dose based upon systolic blood pressure (SBP). Urine and blood pressure measurements were collected weekly. Individuals with a 10% decline in SBP or heart rate (HR) were considered responsive. Genotype for the CYP2D6 enzyme, the primary metabolic pathway for metoprolol, was evaluated for each subject. Unbiased metabolomic analyses were performed on urine samples using UPLC-QTOF mass spectrometry. RESULTS: Urinary metoprolol metabolite ratios are indicative of patient CYP2D6 genotypes. Patients taking metoprolol had significantly higher urinary levels of many gut microbiota-dependent metabolites including hydroxyhippuric acid, hippuric acid, and methyluric acid. Urinary metoprolol metabolite profiles of normal metabolizer (NM) patients more closely correlate to ultra-rapid metabolizer (UM) patients than NM patients. Metabolites did not predict either 10% SBP or HR decline. CONCLUSION: In summary, urinary metabolites predict CYP2D6 genotype in hypertensive patients taking metoprolol. Metoprolol succinate therapy affects the microbiome-derived metabolites.

Genomic markers associated with successful treatment of hypertension with lisinopril: A pilot study.

OBJECTIVE: To identify single nucleotide variants (SNVs) associated with lisinopril effectiveness. MATERIALS AND METHODS: This was an observational study using a candidate gene approach to examine SNVs associated with lisinopril effectiveness. Drug effectiveness was defined as 10% decrease in systolic blood pressure at 1 week follow-up. We used the Illumina GWAS MEGA chip to examine variants in the renin/angiotensin pathway that may be associated with drug effectiveness. RESULTS: 61 subjects were enrolled, and 33 (54.1%) were responsive to lisinopril therapy. SNVs in AGT (p = 0.0141), REN (p = 0.0192), and ACE2 (p = 0.0002) were found to be associated with successful treatment on lisinopril. Conclusion and relevance: SNVs in the renin and angiotensin pathway are associated with lisinopril effectiveness in a pilot cohort of patients with uncontrolled hypertension.

Analysis of Speaking Opportunities by Gender at National Dermatologic Surgery Conferences.

BACKGROUND: Although gender disparities for those entering medicine have equalized, the number of women advancing in academia has remained low. Studies have demonstrated that women's representation at academic medical conferences has also remained low across multiple fields. Given that conference presentations and national reputation serve as metrics for academic promotion, women's representation at dermatology conferences may provide insight into women's academic productivity. OBJECTIVE: To examine the gender composition of presenters and speaking time at the 2 main national dermatologic surgery conferences. METHODS: Speaker's gender, presentation time, and topics were collected for 2009 to 2017 for the American College of Mohs Surgery (ACMS) and the American Society for Dermatologic Surgery (ASDS) Annual Meetings. RESULTS: Women had significantly fewer speaking opportunities and speaking minutes at both conferences. This disparity was most pronounced in reconstruction topics and least pronounced in cosmetics topics. The majority of top speakers, repeat speakers, and keynote speakers were men for both conferences. Oral abstracts showed no gender disparity at either conference. CONCLUSION: Women spoke less than men at both the ASDS and ACMS annual meetings over multiple years studied. Recently, this disparity in speaking opportunities has decreased. Further studies are needed to evaluate the speaking opportunities for women at other types of dermatology conferences.

Predicting response to lisinopril in treating hypertension: a pilot study.

INTRODUCTION: Only ~ 50% of hypertensive patients will respond to treatment. OBJECTIVE: This pilot study aims to identify clinical and metabolite markers that predict response to lisinopril. METHODS: Hypertensive patients (n = 45) received lisinopril (10 mg) at their baseline visit. Blood pressures were reevaluated one week later. Responders to lisinopril (n = 19) were defined by a 10% decline in systolic blood pressure. Plasma metabolites were evaluated with mass spectrometry. RESULTS: BMI (p = 0.009), GFR (p = 0.015) and 2-oxoglutarate were included in a logistic regression model to predict response to lisinopril. CONCLUSIONS: Further validation cohorts are needed to confirm the predictive values of these clinical and metabolic markers.

Growth of mobile applications in dermatology - 2017 update.

BACKGROUND: More than 80% of households in the US have a smartphone. Growth of mobile applications (apps) has grown in parallel with access to smartphones. Mobile health apps are used in medical fields, including dermatology. These apps allow patients to access information regarding dermatology conditions as well as access physicians via teledermatology. PURPOSE: To analyze changes in number of dermatology mobile apps since 2014 and discuss benefits and drawbacks of mobile application growth to dermatology. METHODS: Apple, Android, and Windows were queried for dermatology-related apps. The apps were categorized by purpose and compared to previously published data to assess growth and change in dermatology apps. RESULTS: A total of 526 dermatology mobile apps were found corresponding to an 80.8% growth in dermatology apps since 2014. The market share of teledermatology increased from 11.0% in 2014 to 20.1% in 2017. CONCLUSIONS: Dermatology apps continue to grow at a comparable pace to general app growth. Teledermatology apps experienced significant growth from 2014 to 2017. This growth has allowed time-efficient and cost-effective access to dermatologists, especially in rural areas. The growth of dermatology apps targeting patients allows for patient autonomy but also can result in access to inaccurate information regarding dermatology conditions.

Chinese institutional payments for publishing dermatology journal articles.

Cash prizes for academic publication were introduced by the Department of Physics at Nanjing University in the 1990s. Most Chinese universities and research institutions have established cash rewards for first authors of publications. Potential payments ranged from ~$14,000 for an original research article in JAAD to ~$2000 for a case report in JAMA Dermatology. We examined rewards for publication of academic dermatological articles in China by searching for the cash-reward policies of general and dermatology Chinese hospitals. Specific cash-rewards for publication in the top three highest impact dermatological journals were recorded and compared between two dermatological hospitals, four general hospitals, and Chinese national core journals. Rewards were based upon the Science Citation Index (SCI), impact factor (IF) and publication type. Payment policies were compared between dermatological hospital and general hospitals using the t-test. There was no statistically significant difference between the cash reward payments allotted by general versus dermatological hospitals in China (P=0.32). Chinese authors may receive monetary rewards for a publication in a top dermatology journal based upon journal impact factor and publication type. These policies motivate academic publications and provide an alternative means to reward researchers for their scientific achievements than currently practiced in the West.

Cannabinoids in dermatology: a scoping review.

The therapeutic applications of cannabis and cannabinoids are an increasingly conspicuous topic as de-criminalization and legalization of these products continues to expand. A limited number of cannabinoid compounds have been approved for a specific set of conditions. However, the current role of cannabinoids for the treatment of dermatologic conditions remains to be defined. We conducted a review of the current literature to determine the applications of cannabinoids for the therapy of various skin diseases. After conducting our analysis, we found that cannabinoid products have the potential to treat a variety of skin conditions, including acne vulgaris, allergic contact dermatitis, asteatotic dermatitis, atopic dermatitis, hidradenitis suppurativa, Kaposi sarcoma, pruritus, psoriasis, skin cancer, and the cutaneous manifestations of systemic sclerosis. However, the majority of available data on these compounds are pre-clinical and there is a corresponding lack of high-quality randomized, controlled trials that evaluate their effects. Cannabinoids have shown some initial promise as therapy for a variety of skin diseases. However, there is a requirement for thorough pre-clinical research and large-scale, randomized, controlled trials before cannabinoids can be considered safe and effective treatments for these conditions.

The Pharmacogenomic and Metabolomic Predictors of ACE Inhibitor and Angiotensin II Receptor Blocker Effectiveness and Safety.

Hypertension (HTN) is the most common chronic disease in the USA. Hypertensive patients frequently require repeat primary care visits to find an effective drug or drug combination to control their disease. Currently, patients are prescribed drugs for HTN based on race, age, and comorbidities and although the current guidelines are reasonable starting points for prescribing, 50% of hypertensive patients still fail to achieve target blood pressures. Despite numerous strategies to improve compliance, drug effectiveness, and optimization of initial drug choice, effectiveness has remained largely unchanged over the past two decades. Therefore, it is important to pursue alternative strategies to more effectively treat patients and to decrease medical costs. Additional precision medicine work is needed to identify factors associated with effectiveness of commonly used antihypertensive medications. The objective of this manuscript is to present a comprehensive review of the pharmacogenomic and metabolomic factors associated with ACEI and ARB effectiveness and safety.

CYP2D6 Genotype Phenotype Discordance Due to Drug-Drug Interaction.

Drug-drug interactions have been demonstrated to alter cytochrome 2D6 (CYP2D6) enzyme phenotype due to inhibitor ingestion, although it is unclear how substrate interactions affect phenotype. This was a pragmatic clinical trial examining the kinetics of a CYP2D6 enzyme probe drug with and without CYP2D6-dependent substrates. Patients were enrolled into an inpatient study unit, and orally administered a 2 mg microdose of dextromethorphan (DM) to probe enzyme activity with and without CYP2D6-dependent drug-drug interactions. Thirty-nine subjects were enrolled in this trial. Twelve subjects were on no CYP2D6-dependent drugs and 27 were on one or more CYP2D6-dependent drugs. There were 1 poor metabolizer, 5 intermediate metabolizers, 31 normal metabolizers, and 2 ultra-rapid metabolizers. Those with co-ingestion of another CYP2D6-dependent drug were 9.49 (95% confidence interval (CI): 1.54-186.41; P = 0.01) times more likely to have genotype-phenotype discordance based upon the 3 hours dextrophan/dextromethorphan (DX/DM) ratio. CYP2D6 substrate co-ingestions can cause genotype-phenotype discordance.