Monkeys demonstrate gastrointestinal barrier dysfunction (leaky gut) as evidenced by higher biomarkers of microbial translocation (MT) and inflammation with ageing despite equivalent health status, and lifelong diet and environmental conditions. We evaluated colonic structural, microbiomic and functional changes in old female vervet monkeys (Chlorocebus aethiops sabeus) and how age-related leaky gut alters responses to Western diet. We additionally assessed serum bovine immunoglobulin therapy to lower MT burden. MT was increased in old monkeys despite comparable histological appearance of the ascending colon. Microbiome profiles from 16S sequencing did not show large differences by age grouping, but there was evidence for higher mucosal bacterial loads using qPCR. Innate immune responses were increased in old monkeys consistent with higher MT burdens. Western diet challenge led to elevations in glycemic and hepatic biochemistry values only in old monkeys, and immunoglobulin therapy was not effective in reducing MT markers or improving metabolic health. We interpret these findings to suggest that ageing may lead to lower control over colonization at the mucosal surface, and reduced clearance of pathogens resulting in MT and inflammation. Leaky gut in ageing, which is not readily rescued by innate immune support with immunoglobulin, primes the liver for negative consequences of high fat, high sugar diets.

A Medicare AMV administered by a CPP resulted in a wide variety of patient interventions and reimbursement for services provided.

BACKGROUND: Diabetes requires close monitoring to achieve optimal outcomes and avoid adverse effects. Continuous glucose monitoring (CGM) is one approach to measuring glycemia and has become more widespread with recent advances in technology; however, ideal implementation of CGM into clinical practice is unknown. CGM can be categorized as personal CGM, which can be for at-home use to replace self-monitoring of blood glucose, or professional CGM (proCGM), which is used intermittently under the direction of a health care professional. The expanding role of the clinical pharmacist allows pharmacists to be at the forefront of implementing proCGM technology, but literature on the effect of pharmacist-driven proCGM is lacking. Pharmacists and physicians within 1 physician-owned clinic used proCGM technology differently. Pharmacists conducted 1 or 2 office visits to interpret data and make interventions, while physicians interpreted data 1 time and relayed interventions via phone. OBJECTIVES: To (a) compare the change in hemoglobin A1c from baseline to 6 months between the different methods of proCGM implementation, and (b) describe and compare the clinical interventions made as a result of the different methods of proCGM implementation. METHODS: In this retrospective cohort study, adults identified in the electronic medical record via Current Procedural Terminology code 95250 or 95251 undergoing proCGM with CGM data interpreted and baseline A1c ≥ 7% were included. Patients with additional CGM use within the 6-month follow-up period were excluded. Data collection included demographics, A1c at baseline and during the 6-month follow-up period, and CGMassociated interventions. Patients were categorized as undergoing 1 pharmacist-driven encounter ( RPh1), 2 pharmacist-driven encounters (RPh2), or 1 physician-driven encounter (MD1) for proCGM implementation. Combined RPh1 and RPh2 (cRPh) data were also used for analysis. The primary outcome was change in A1c from baseline to 6 months, which was evaluated by analysis of covariance. RESULTS: Of 378 patient charts reviewed, 315 instances of proCGM implementation met inclusion criteria (58 RPh1, 35 RPh2, 222 MD1), and 253 had post-implementation A1c data for analysis of the primary outcome (52 RPh1, 30 RPh2, 171 MD1). Baseline A1c was 8.4%, 8.8%, and 9.1% with mean reduction from baseline to 6 months of 1.0%, 1.3%, and 0.6%, respectively. cRPh patients experienced a greater mean reduction in A1c compared with MD1 (P = 0.002). RPh2 patients had a statistically significant reduction compared with MD1 (P = 0.005), but RPh1 patients did not (P = 0.054). The number of CGM-associated pharmacological interventions was 1.33 for RPh1 patients, 1.63 for RPh2 at the first encounter and 1.34 at the second, and 1.17 for MD1. CONCLUSIONS: Pharmacist-driven implementation of proCGM was associated with greater A1c reductions and more pharmacological interventions versus physician-driven implementation. This study demonstrated improved clinical outcomes with pharmacists providing direct patient ...

No outside funding supported this study, and the authors have no conflicts of interest to declare. Study concept and design were contributed by Cavanaugh and Shilliday, along with Sherrill. The data were collected by Sherrill and Shilliday and interpreted by Sherrill, Cavanaugh, and Shilliday. The manuscript was written and revised by Sherrill, Cavanaugh, and Shilliday. This work was presented at the ASHP Annual Meeting in Las Vegas, Nevada, on December 3, 2012.

Objective To review the pharmacology, efficacy, and safety of high-dose once-weekly semaglutide for chronic weight management. Data Sources PubMed/MEDLINE and ClinicalTrials.gov were searched (inception to September 8, 2021) using keywords “semaglutide” and “obesity,” “weight,” “high dose,” “high-dose,” or “2.4.” Study Selection and Data Extraction Clinical trials with published results were included. Publications studying the oral or <2.4 mg formulation of semaglutide were excluded. Data Synthesis Four phase 3, multicenter, randomized, double-blind trials demonstrated efficacy of high-dose once-weekly semaglutide compared with placebo for weight loss. Study populations included patients with overweight or obesity (STEP 1, STEP 3, and STEP 4) or patients with diabetes and with overweight or obesity (STEP 2). Lifestyle interventions for diet and exercise were included for all participants. Weight loss from baseline was significant for all studies, and secondary outcomes demonstrated cardiometabolic improvements including waist circumference, systolic blood pressure, and lipid profiles. Gastrointestinal adverse effects were common, but the medication was otherwise well tolerated. Relevance to Patient Care and Clinical Practice High-dose semaglutide offers significant weight-lowering potential and favorable effects on cardiometabolic risk factors and glycemic indices. Clinicians and patients should consider the route and frequency of administration, adverse effect profile, and cost when choosing an antiobesity medication. The importance of concomitant lifestyle interventions should be emphasized. Conclusions High-dose once-weekly semaglutide can significantly reduce weight, and although gastrointestinal adverse effects were common, it is generally well tolerated.