Citations

In this study, we propose two new mathematical models able to quantify glucagon secretion during a graded glucose infusion, in the presence and absence of amino acids. The models provide an index of α-cell responsivity, G 50 , i.e., the glucose increase required to suppress glucose secretion rate (GSR) by 50%. Results show that the presence of amino acids reduced α-cell responsivity to glucose.

OBJECTIVE To assess whether initiating metformin at 25 weeks' gestation influences exclusive breastfeeding at 12 weeks postpartum in gestational diabetes mellitus (GDM). RESEARCH DESIGN AND METHODS We performed a prespecified secondary analysis of the Effectiveness of Metformin in Addition to Usual Care in the Reduction of Gestational Diabetes Effects (EMERGE) trial, a multicenter, double-blind, placebo-controlled randomized study. A total of 535 pregnant women (510 with newly diagnosed GDM) were allocated 1:1 to metformin (titrated to 2.5 g/day) or placebo alongside usual care. Infant feeding was prospectively documented at birth and at 4 and 12 weeks postpartum. The primary outcome was exclusive breastfeeding at 12 weeks (intention to treat). Multivariable logistic regression adjusted for race, education, smoking, booking BMI, health care access markers, and diagnostic oral glucose tolerance test (OGTT) glucose levels. RESULTS Twelve-week feeding data were available for 476 pregnancies (236 in the metformin group and 240 in the placebo group). Exclusive breastfeeding at 12 weeks was 27% with metformin and 26% with placebo (absolute difference +1.3%; 95% CI –6.3 to 8.7; P = 0.75). The adjusted odds ratio (OR) for metformin versus placebo was 1.24 (95% CI 0.79–1.96; P = 0.36). Feeding patterns shifted from breastfeeding to formula temporally in both groups (P < 0.001), with no treatment-by-time interaction (P = 0.61). Non-Caucasian ethnicity independently predicted exclusive breastfeeding (adjusted OR 2.37; 95% CI 1.27–4.42). CONCLUSIONS Starting metformin treatment at 25 weeks in the GDM group was not associated with differences in exclusive breastfeeding at 12 weeks postpartum. Where metformin was discontinued at delivery, the results support compatibility of antenatal metformin with breastfeeding objectives. Breastfeeding outcomes were more linked to sociodemographic factors than metabolic ones, highlighting the need for culturally appropriate postpartum support.

Abstract Background Pregnancies complicated by gestational diabetes mellitus (GDM) are associated with increased risks of adverse perinatal outcomes, and with long-term metabolic and cardiovascular consequences for both mother and child. The original EMERGE randomized controlled trial (RCT) evaluated the effectiveness of early metformin in addition to usual care in women with GDM on glycaemic control and perinatal outcomes. The EMERGE Mothers and Kids study is a longitudinal follow-up of the EMERGE trial participants, designed to investigate the long-term metabolic, cardiovascular, and neurodevelopmental outcomes in mothers and their offspring. Methods This is a prospective, observational cohort study of participants and their children from the EMERGE trial (NCT06327191). A single follow-up visit will be conducted up to 6 years after the index pregnancy. Maternal assessments include anthropometric data, glucose tolerance, and metabolic parameters. Child assessments include growth metrics, adiposity measured via skinfold thickness, and neurodevelopmental status assessed through validated questionnaires. Additional data on quality of life, mental health, breastfeeding, and health economics will also be collected. Discussion This study aims to provide insights into the long-term safety and efficacy of metformin use during pregnancy and its potential impact on the long term maternal and child health outcomes, contributing to evidence-based management of GDM. Trial registration: ClinicalTrials.gov; Identifier: NCT06327191

Abstract Altered Bone Marrow (BM) Plasma Amino Acid (AA) Composition Reflects Microenvironmental Remodeling in Patients with Multiple Myeloma (MM) compared to Monoclonal Gammopathy of Unknown Significance (MGUS) Michael Egan, Yogesh Chawla, Puja Dey, Dragan Jevremovic, Taro Hitosugi, Shaji Kumar and Wilson Gonsalves BACKGROUND: MYC overexpression, a hallmark of progression from MGUS to MM, drives metabolic reprogramming, including enhanced AA uptake and utilization. However, the contribution of AAs to disease progression from MGUS to MM remains poorly defined. In this study, we comprehensively profiled AA levels in the BM plasma of MGUS and MM patients to determine whether shifts in the availability of specific AAs reflect microenvironmental remodeling and evolving metabolic demands of malignant plasma cells (PCs). METHODS: AA profiles of BM plasma samples—reflective of the BM microenvironment—from two different cohorts of patients with either MGUS or MM (Cohort #1: 49 MGUS and 50 newly diagnosed MM (NDMM) and Cohort #2: 50 MGUS and 64 NDMM) were acquired using liquid chromatography (LC) coupled with tandem mass spectrometry (MS). Individual AA were quantified by MS using single-point quantification with isotopically labeled internal standards of AAs. Individual relative and quantitative AA data were analyzed for differences between the groups using the parametric t-test, and significance was defined as p < 0.05. We utilized a Pearson correlation coefficient method to determine the association of the percentage of clonal PCs in the BM to the levels of the AAs. The areas under the curve (AUC) of receiver operating characteristic (ROC) analyses were created on the web-based tool MetaboAnalyst 6.0 to determine the ability of quantitative AA levels to be utilized as a model to distinguish MGUS vs. MM. RESULTS: In BM plasma samples from cohort #1, using a global untargeted metabolite profiling, we identified 28 AAs and their metabolites out of the 1,089 known metabolites detected. A targeted quantification of these AAs was performed in the same samples to validate any observed differences between the groups. Both aspartate and glycine were found to be more abundant in NDMM compared to MGUS in both untargeted and targeted assays. In contrast,12 AAs (branched chain AAs: valine, leucine and isoleucine, aromatic AAs: tryptophan, kynurenine, tyrosine and phenylalanine; essential AAs: threonine and lysine; non-essential AAs: ornithine, citrulline and asparagine) were found to be less abundant in NDMM compared to MGUS. We then validated the presence of these differences using targeted quantification of AAs in the BM plasma samples from cohort #2. Aspartate was the only AA consistently found to be present at higher levels in NDMM vs. MGUS. Whereas, 8 AAs—threonine, valine, citrulline, tyrosine, tryptophan, isoleucine, phenylalanine, and kynurenine—were consistently lower in NDMM vs. MGUS. We observed a statistically significant positive correlation between the concentration of aspartate and the percentage of clonal PCs present in the BM (r = 0.56). In contrast, there were statistically significant negative correlations between the concentrations of all 8 AAs consistently lower in NDMM vs. MGUS and the percentage of clonal PCs in the BM: threonine (r = -0.41), valine (r = -0.35), citrulline (r = -0.37), tyrosine (r = -0.28), tryptophan (r = -0.31), isoleucine (r = -0.21), phenylalanine (r = -0.19), and kynurenine (r = -0.19). Using only the quantitative concentrations of the 9 AAs that were significantly different between NDMM and MGUS across both patient cohorts, we performed ROC analyses to develop predictive models distinguishing NDMM from MGUS. In cohort #1, the models yielded AUC values ranging from 0.738 to 0.785, while in cohort #2, AUC values ranged from 0.798 to 0.835, depending on the number of AAs included in the model. CONCLUSIONS: Several AAs are present at significantly different levels in the BM plasma of patients with NDMM compared to MGUS. These findings support the emerging role of AA availability, across a diverse set of AAs, in the pathogenesis and progression of MGUS to MM. Future studies are warranted to validate these observations and to determine whether alterations in the BM AA landscape can be leveraged for diagnostic or therapeutic strategies.

BACKGROUND: Familial hypercholesterolemia (FH) is an autosomal dominant genetic disorder that increases risk for premature coronary artery disease and has accessible and effective interventions. The Dutch lipid clinic network is currently the most used diagnostic criterion; however, genetic sequencing provides a definitive diagnosis of FH. The goals of this study were to determine whether germline genetic screening using exome sequencing could be used to efficiently identify individuals who were genotype positive for FH. METHODS: Participants were recruited from 3 geographically and racially diverse sites in the United States (Rochester, MN; Phoenix, AZ; and Jacksonville, FL). Participants underwent Exome+ sequencing (dba Helix, San Mateo, CA) and return of results for specific genetic findings in APOB , LDLR , or PCSK9 . A chart review was performed to collect demographics, personal, and family cardiovascular history. RESULTS: At the time of the study, 84 413 participants were enrolled in the Tapestry study. Annotation and interpretation of all variants in genes for FH resulted in the identification of 419 likely pathogenic and pathogenic variants (prevalence, 0.50%), which included 116 APOB , 298 LDLR , and 5 PCSK9 . Sixty-six percent were female, the mean body mass index was 27.3, with 12.3% reporting a history of diabetes. Hypertriglyceridemia (≥150 mg/dL) was present in 39.5% and reduced HDL (<50 mg/dL) was present in 56.7% of patients. 27.5% of patients were not on cholesterol-lowering medications, and only 10% of FH carriers were at goal low-density lipoprotein cholesterol levels. A history of coronary artery disease was reported in 22.4% of the cohort. Nearly 90% of these participants were newly diagnosed carriers of FH. Only 30.8% of confirmed genetic diagnoses of FH satisfied clinical (Dutch lipid clinic network) criteria for a diagnosis. CONCLUSIONS: Our results emphasize the need for wider utilization of germline genetic sequencing for enhanced screening and detection of individuals who have familial hypercholesterolemia. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT05212428.

Background: Increasing maternal body mass index (BMI) represents a risk factor for Gestational Diabetes Mellitus (GDM) and adverse obstetrical and perinatal outcomes. Objective: To stratify clinical outcomes for pregnancies affected by GDM according to maternal BMI. Methods: Retrospective cohort study including individuals ≥18 years of age who were diagnosed with GDM from 2018 to 2022. Universal GDM screening was employed with a 50 g oral glucose challenge test ± a 100 g oral glucose tolerance test. Maternal demographics, preexisting medical conditions, and selected obstetric and neonatal morbidities were evaluated. Results: A total of 2193 pregnancies in 2110 women affected by GDM were identified. This included 506 (23.0%) with normal baseline maternal BMI, 596 (27.2%) with overweight, and 1091 (49.7%) with obese BMI. Adverse maternal outcomes were more frequent in the obese compared to overweight or normal BMI categories (cesarean delivery: normal 26.9% vs. overweight 28.5% vs. obese 40.9%; p < 0.001; hypertensive disorders of pregnancy: normal 8.7% vs. overweight 12.1% vs. obese 16.8%; p < 0.001). Postpartum glucose intolerance was higher in women with obesity (normal 7.3% vs. overweight 5.9% vs. obese 14.9%; p < 0.001). Infants born to mothers with obesity had higher birthweights (normal 3.3 kg vs. overweight 3.4 kg vs. obese 3.5 kg; p < 0.001), were more likely to have neonatal hypoglycemia (normal 29.4% vs. overweight 24.3% vs. obese 41.9%; p < 0.001) and require intensive care unit admission (normal 8.1% vs. overweight 5.9% vs. obese 11.9%; p < 0.001). Conclusions: Patients with GDM and baseline BMI in the obese range experienced the highest rate of adverse outcomes, while those with overweight BMI had similar outcomes to individuals who had normal BMI at baseline.

Introduction: Patients with cognitive impairments, who may be unable to engage in traditional psychotherapies, may require support through non-cognitive interventions. This review synthesizes the existing literature to assess the evidence base for these interventions and to propose future directions for research. Methods: A comprehensive literature search was conducted across seven electronic databases on October 17, 2024. Eligible studies assessed psychological, emotional, social, or spiritual outcomes. Results: Seventy-three studies were included, conducted across 18 countries. Music therapy and art therapy had the strongest empirical support, with consistent effects on distress, emotional expression, social and spiritual connectedness, and finding meaning. Other approaches, including movement therapy, spiritual interventions, and pet therapy, showed promising but preliminary results. Aromatherapy and massage therapy yielded mixed findings, while energy-based methods lacked robust evidence. Most studies had a high risk of bias, primarily due to confounding. Few interventions were conducted with patients with cognitive impairments, despite their potential relevance. Conclusion: A variety of interventions compatible with cognitive impairment show promise in palliative care settings. However, existing empirical support is constrained by bias and a lack of research in cognitively-impaired populations.

ABSTRACT The International Consensus Conference “Optimising Performance of the Elite Athlete,” held in November 2024, brought together 29 scientists, some coaches, and athletes to establish evidence‐based consensus statements aimed at enhancing elite athletic performance and health. The conference addressed critical themes including training strategies, nutrition, female athlete considerations, injury management, and emerging technologies. Key conclusions emphasize individualized, sport‐specific approaches to training and nutrition, integrating concurrent training modalities to improve endurance, resilience, and efficiency. Nutrition strategies highlight the importance of tailored energy and macronutrient periodization, recognition of low energy availability risks, and cautious use of dietary supplements. Special attention was directed to female athletes, advocating for improved monitoring of menstrual cycles and hormonal status, while acknowledging current knowledge gaps in hormonal influences on performance and injury risk. Injury prevention remains a challenge, with tendon overuse and Achilles tendon ruptures significantly impacting athlete careers; rehabilitation should rely on criteria‐based progression and multidisciplinary input. Emerging technologies, including wearable sensors and multi‐omics analyses, hold promise for personalized training and nutrition but require further validation in elite contexts. Despite robust consensus, the panel identified substantial research gaps, particularly regarding female athletes, longitudinal training effects, and efficacy of novel interventions. This consensus provides a practical, scientifically grounded framework to optimize elite athlete performance and health, while underscoring the need for continued research to address outstanding questions and promote inclusive evidence‐based practices.