7 research outputs found
Ankle–brachial index and incident heart failure with reduced versus preserved ejection fraction: The Multi-Ethnic Study of Atherosclerosis
The inoculum effect and band-pass bacterial response to periodic antibiotic treatment.
The inoculum effect (IE) refers to the decreasing efficacy of an antibiotic with increasing bacterial density. It represents a unique strategy of antibiotic tolerance and it can complicate design of effective antibiotic treatment of bacterial infections. To gain insight into this phenomenon, we have analyzed responses of a lab strain of Escherichia coli to antibiotics that target the ribosome. We show that the IE can be explained by bistable inhibition of bacterial growth. A critical requirement for this bistability is sufficiently fast degradation of ribosomes, which can result from antibiotic-induced heat-shock response. Furthermore, antibiotics that elicit the IE can lead to 'band-pass' response of bacterial growth to periodic antibiotic treatment: the treatment efficacy drastically diminishes at intermediate frequencies of treatment. Our proposed mechanism for the IE may be generally applicable to other bacterial species treated with antibiotics targeting the ribosomes
Outcomes Following Acute Coronary Syndrome in Patients With and Without Rheumatic Immune‐Mediated Inflammatory Diseases
Background Rheumatic immune mediated inflammatory diseases (IMIDs) are associated with high risk of acute coronary syndrome. The long‐term prognosis of acute coronary syndrome in patients with rheumatic IMIDs is not well studied. Methods and Results We identified Medicare beneficiaries admitted with a primary diagnosis of myocardial infarction (MI) from 2014 to 2019. Outcomes of patients with MI and concomitant rheumatic IMIDs including systemic lupus erythematosus, rheumatoid arthritis, systemic sclerosis, dermatomyositis, or psoriasis were compared with propensity matched control patients without rheumatic IMIDs. One‐to‐three propensity‐score matching was done for exact age, sex, race, ST‐segment–elevation MI, and non–ST‐segment–elevation MI variables and greedy approach on other comorbidities. The study primary outcome was all‐cause mortality. The study cohort included 1 654 862 patients with 3.6% prevalence of rheumatic IMIDs, the most common of which was rheumatoid arthritis, followed by systemic lupus erythematosus. Patients with rheumatic IMIDs were younger, more likely to be women, and more likely to present with non–ST‐segment–elevation MI. Patients with rheumatic IMIDs were less likely to undergo coronary angiography, percutaneous coronary intervention or coronary artery bypass grafting. After propensity‐score matching, at median follow up of 24 months (interquartile range 9–45), the risk of mortality (adjusted hazard ratio [HR], 1.15 [95% CI, 1.14–1.17]), heart failure (HR, 1.12 [95% CI 1.09–1.14]), recurrent MI (HR, 1.08 [95% CI 1.06–1.11]), and coronary reintervention (HR, 1.06 [95% CI, 1.01–1.13]) (P<0.05 for all) was higher in patients with versus without rheumatic IMIDs. Conclusions Patients with MI and rheumatic IMIDs have higher risk of mortality, heart failure, recurrent MI, and need for coronary reintervention during follow‐up compared with patients without rheumatic IMIDs
sj-docx-1-vmj-10.1177_1358863X231219006 – Supplemental material for Venous thromboembolic outcomes in patients with lymphedema and lipedema: An analysis from the National Inpatient Sample
Supplemental material, sj-docx-1-vmj-10.1177_1358863X231219006 for Venous thromboembolic outcomes in patients with lymphedema and lipedema: An analysis from the National Inpatient Sample by Muhammad Umar Khalid, Sameer Prasada, Courtney Jennings, John R Bartholomew, Meghann McCarthy, Deborah A Hornacek, Douglas Joseph, Wei Chen, Graham Schwarz, Rohan Bhandari, Ayman Elbadawi and Scott J Cameron in Vascular Medicine</p
DNA methylation analysis of phenotype specific stratified Indian population
Background: DNA methylation and its perturbations are an established attribute to a wide spectrum of phenotypic variations and disease conditions. Indian traditional system practices personalized medicine through indigenous concept of distinctly descriptive physiological, psychological and anatomical features known as prakriti. Here we attempted to establish DNA methylation differences in these three prakriti phenotypes. Methods: Following structured and objective measurement of 3416 subjects, whole blood DNA of 147 healthy male individuals belonging to defined prakriti (Vata, Pitta and Kapha) between the age group of 20-30years were subjected to methylated DNA immunoprecipitation (MeDIP) and microarray analysis. After data analysis, prakriti specific signatures were validated through bisulfite DNA sequencing. Results: Differentially methylated regions in CpG islands and shores were significantly enriched in promoters/UTRs and gene body regions. Phenotypes characterized by higher metabolism (Pitta prakriti) in individuals showed distinct promoter (34) and gene body methylation (204), followed by Vata prakriti which correlates to motion showed DNA methylation in 52 promoters and 139 CpG islands and finally individuals with structural attributes (Kapha prakriti) with 23 and 19 promoters and CpG islands respectively. Bisulfite DNA sequencing of prakriti specific multiple CpG sites in promoters and 5'-UTR such as; LHX1 (Vata prakriti), SOX11 (Pitta prakriti) and CDH22 (Kapha prakriti) were validated. Kapha prakriti specific CDH22 5'-UTR CpG methylation was also found to be associated with higher body mass index (BMI). Conclusion: Differential DNA methylation signatures in three distinct prakriti phenotypes demonstrate the epigenetic basis of Indian traditional human classification which may have relevance to personalized medicine
Determinants of Prakriti, the Human Constitution Types of Indian Traditional Medicine and its Correlation with Contemporary Science
Background: Constitutional type of an individual or prakriti is the basic clinical denominator in Ayurveda, which defines physical, physiological, and psychological traits of an individual and is the template for individualized diet, lifestyle counseling, and treatment. The large number of phenotype description by prakriti determination is based on the knowledge and experience of the assessor, and hence subject to inherent variations and interpretations. Objective: In this study we have attempted to relate dominant prakriti attribute to body mass index (BMI) of individuals by assessing an acceptable tool to provide the quantitative measure to the currently qualitative ayurvedic prakriti determination. Materials and Methods: The study is cross sectional, multicentered, and prakriti assessment of a total of 3416 subjects was undertaken. Healthy male, nonsmoking, nonalcoholic volunteers between the age group of 20-30 were screened for their prakriti after obtaining written consent to participate in the study. The prakriti was determined on the phenotype description of ayurvedic texts and simultaneously by the use of a computer-aided prakriti assessment tool. Kappa statistical analysis was employed to validate the prakriti assessment and Chi-square, Cramer′s V test to determine the relatedness in the dominant prakriti to various attributes. Results: We found 80% concordance between ayurvedic physician and software in predicting the prakriti of an individual. The kappa value of 0.77 showed moderate agreement in prakriti assessment. We observed a significant correlations of dominant prakriti to place of birth and BMI with Chi-square, P < 0.01 (Cramer′s V-value of 0.156 and 0.368, respectively). Conclusion: The present study attempts to integrate knowledge of traditional ayurvedic concepts with the contemporary science. We have demonstrated analysis of prakriti classification and its association with BMI and place of birth with the implications to one of the ways for human classification