Ivory tower in MD/PhD programmes: sticky floor, broken ladder and glass ceiling.

OBJECTIVE: Achieving gender equity in academic medicine is not only a matter of social justice but also necessary in promoting an innovative and productive academic community. The purpose of this study was to assess gender distribution in dual MD/PhD academic programme faculty members across North America. METHODS: Academic metrics were analysed to quantify the relative career success of academic faculty members in MD/PhD programmes. Measured parameters included academic and leadership ranks along with nominal research factors such as peer-reviewed research publications, H-index, citation number and years of active research. RESULTS: Χ² analysis revealed a statistically significant (p<0.0001, χ²=114.5) difference in the gender distribution of faculty and leadership across North American MD/PhD programmes. Men held 74.2% of full professor positions, 64% of associate professor positions, 59.4% of assistant professor positions and 62.8% of lecturer positions. Moreover, men occupied a larger share of faculty leadership roles with a statistically significant disparity across all ranks (p<0.001, χ²=20.4). A higher proportion of men held positions as department chairs (79.6%), vice chairs (69.1%) and programme leads (69.4%). CONCLUSION: Gender disparity was prevalent in the MD/PhD programmes throughout North America with women achieving a lower degree of professional stature than men. Ultimately, steps must be taken to support women faculty to afford them better opportunities for academic and professional advancement.

Conserved multi-tissue transcriptomic adaptations to exercise training in humans and mice.

Physical activity is associated with beneficial adaptations in human and rodent metabolism. We studied over 50 complex traits before and after exercise intervention in middle-aged men and a panel of 100 diverse strains of female mice. Candidate gene analyses in three brain regions, muscle, liver, heart, and adipose tissue of mice indicate genetic drivers of clinically relevant traits, including volitional exercise volume, muscle metabolism, adiposity, and hepatic lipids. Although ∼33% of genes differentially expressed in skeletal muscle following the exercise intervention are similar in mice and humans independent of BMI, responsiveness of adipose tissue to exercise-stimulated weight loss appears controlled by species and underlying genotype. We leveraged genetic diversity to generate prediction models of metabolic trait responsiveness to volitional activity offering a framework for advancing personalized exercise prescription. The human and mouse data are publicly available via a user-friendly Web-based application to enhance data mining and hypothesis development.