The global burden of metabolic disease: Data from 2000 to 2019.

Global estimates of prevalence, deaths, and disability-adjusted life years (DALYs) from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 were examined for metabolic diseases (type 2 diabetes mellitus [T2DM], hypertension, and non-alcoholic fatty liver disease [NAFLD]). For metabolic risk factors (hyperlipidemia and obesity), estimates were limited to mortality and DALYs. From 2000 to 2019, prevalence rates increased for all metabolic diseases, with the greatest increase in high socio-demographic index (SDI) countries. Mortality rates decreased over time in hyperlipidemia, hypertension, and NAFLD, but not in T2DM and obesity. The highest mortality was found in the World Health Organization Eastern Mediterranean region, and low to low-middle SDI countries. The global prevalence of metabolic diseases has risen over the past two decades regardless of SDI. Urgent attention is needed to address the unchanging mortality rates attributed to metabolic disease and the entrenched sex-regional-socioeconomic disparities in mortality.

Mapping the Mouse Cell Atlas by Microwell-Seq.

Single-cell RNA sequencing (scRNA-seq) technologies are poised to reshape the current cell-type classification system. However, a transcriptome-based single-cell atlas has not been achieved for complex mammalian systems. Here, we developed Microwell-seq, a high-throughput and low-cost scRNA-seq platform using simple, inexpensive devices. Using Microwell-seq, we analyzed more than 400,000 single cells covering all of the major mouse organs and constructed a basic scheme for a mouse cell atlas (MCA). We reveal a single-cell hierarchy for many tissues that have not been well characterized previously. We built a web-based "single-cell MCA analysis" pipeline that accurately defines cell types based on single-cell digital expression. Our study demonstrates the wide applicability of the Microwell-seq technology and MCA resource.

Differentiation of innovator versus generic cyclosporine via a drug interaction on sirolimus.

OBJECTIVE: Both sirolimus and cyclosporine are immunosuppressants used in a combined regimen after organ transplantation. When coadministered with the innovator formulation of cyclosporine, sirolimus blood levels increase 3.3-fold due to a pharmacokinetic interaction. We assessed this drug interaction for potential differences when the innovator formulation is replaced by a generic cyclosporine. METHODS: In this randomized single-dose crossover study, 28 healthy subjects received 5 mg sirolimus oral solution with 250 mg cyclosporine soft gelatin capsules given as the innovator formulation (reference treatment) versus a generic formulation (test treatment). Sirolimus peak blood concentration (Cmax) and area under the concentration-time curve (AUC) were compared between test and reference treatments by standard bioequivalence testing. RESULTS: Sirolimus Cmax was significantly lower by 17% in the presence of generic versus innovator cyclosporine (p=0.0003) and failed bioequivalence criteria with a test/reference ratio of 0.83 (90% confidence interval, 0.77-0.90). Nearly half of the subjects (46%) had sirolimus Cmax changes which fell outside the bioequivalence window with individual Cmax decreases up to 52% and increases up to 39%. Sirolimus AUC was significantly lower by 11% in the presence of generic versus innovator cyclosporine (p=0.041) but satisfied average bioequivalence criteria with a test/reference ratio of 0.89 (0.83-0.95). Nonetheless, over a third of the subjects (43%) had sirolimus AUC changes outside the standard bioequivalence window with individual AUC decreases up to 39% and increases up to 42%. CONCLUSIONS: Switching between innovator and generic cyclosporine may have a clinically-relevant impact on coadministered sirolimus pharmacokinetics. If such a switch is initiated by the prescriber, follow-up therapeutic monitoring of both cyclosporine and sirolimus blood levels should be performed to guide dose adjustments as necessary. If the switch is made without consulting the prescriber, potentially significant changes in sirolimus exposure could go unnoticed by the clinician and patient.