Citations

Insulin is a key regulator of amino acid metabolism. Many plasma amino acids, including lysine and its metabolite, α-aminoadipic acid (α-AA), a predictor for developing diabetes, are elevated in insulin resistance (IR). In 18 overweight women with IR and polycystic ovary syndrome compared with 12 lean control women, high physiological insulin during a euglycemic clamp failed to normalize many elevated amino acid metabolites, including branched-chain and aromatic amino acids, α-aminobutyric acid, and lysine, but normalized α-AA. To understand the underpinnings of differential responses of lysine and its metabolic product α-AA to high physiological insulin in IR compared with control participants, we developed a kinetic model using [α-15N1]-lysine and [13C1]-α-AA as tracers and measured the two tracers simultaneously in α-AA by innovative mass spectrometry. High insulin increased lysine conversion to α-AA in the IR and control groups but failed to normalize plasma lysine concentrations in IR due to a decrease in lysine metabolic clearance rate (MCR). In contrast, despite higher conversion rates of lysine to α-AA by high insulin, α-AA concentration decreased in IR because of the sustained greater MCR of α-AA. The abnormal amino acids and metabolites, even while on high physiological insulin, could potentially explain many functional derangements in IR. Article Highlights

Background/Objective: Clostridioides difficile infection (CDI) is a common healthcare-associated ailment, presenting major health and economic challenges, especially for the elderly. Despite its prevalence, comprehensive data about CDI’s impact on the elderly are limited. Methods: This study used the Global Burden of Disease Study 2019 data to analyze CDI trends from 2000 to 2019, considering factors like sex, region, and sociodemographic index (SDI). Results: This study revealed that CDI caused approximately 18,181 deaths and 252,709 disability-adjusted life years (DALYs) among the elderly worldwide. The Americas showed the highest CDI burden, while the Eastern Mediterranean saw the steepest rate increase from 2000 to 2019. Regions with a high SDI also displayed substantial CDI impact. Conclusions: The escalating burden of CDI in the elderly, especially in high-SDI areas and the Americas, emphasizes an urgent need for targeted public health strategies.

ABSTRACT Background The aim of this study was to determine the long-term effect of increasing water intake in patients with autosomal dominant polycystic kidney disease (ADPKD) on longitudinal changes in health-related quality of life (HRQoL) in the setting of a clinical trial. Methods Self-completed HRQoL (using the KDQoL-SF, v.1.3 questionnaire) was assessed annually in participants of a 3-year randomized controlled clinical trial (n = 187), allocated (1:1) either to increase water intake to reduce urine osmolality to ≤270 mosmol/kg (implemented by dietetic coaching, self-monitoring tools, text messaging) or continue usual water intake. Results Overall, 96% and 81.8% of participants (n = 187) completed the questionnaire at the baseline and final study visits, respectively. At baseline, the physical component summary score (PCS) and mental component summary score (MCS) were similar in the two groups (P > 0.05) and the five dimensions with the lowest scores in both groups were: energy and fatigue; general and overall health; sleep; emotional well-being; and pain. Within each group, there were no longitudinal changes over time. At the final visit, the PCS was higher in the increased water intake group (51.3 ± 7.6, mean ± standard deviation) compared to the usual water intake group 48.8 ± 9.3; P = 0.037) whereas the MCS was numerically similar. The improvement in the PCS was due to higher sub-scale values for physical functioning and pain (both P < 0.05). By multivariate analysis, only baseline PCS and height-corrected total kidney volume were associated with the final PCS (P < 0.05). Conclusion HRQoL scores remained stable over a 3 year period, and were not adversely affected by the intervention to increase water intake. Future studies should evaluate the clinical significance of the higher PCS in the increased water intake group.

AbstractBackground and AimIn recent years, there has been a growing incidence of gastrointestinal cancer in young individuals. Despite its significant morbidity and mortality, research on upper gastrointestinal (UGI) cancer in young populations has been relatively limited. Therefore, studies on the epidemiological changes of this cancer are needed.MethodsUsing data from the Global Burden of Disease Study 2019, we examined the incidence, death, and disability‐adjusted life years (DALYs) from UGI cancers in the young, namely, early‐onset esophageal cancer (EOEC) and early‐onset gastric cancer (EOGC). These results were stratified by sex, geographical region, country, and sociodemographic index.ResultsThere was a total of 185 140 cases, 120 289 deaths, and 5.70 million DALYs attributable to early‐onset UGI cancers globally. From 2010 to 2019, the global incidence, death, and DALYs rates of early‐onset UGI cancers decreased. In contrast, the incidence rates increased in both EOEC (+1.15%) and EOGC (+0.21%) in the Eastern Mediterranean region.ConclusionsOver the past decade, the burden of UGI cancer in the young has decreased. However, it has increased in the Eastern Mediterranean region. Further research to elucidate the attributable risk factors in this population is warranted.

Abstract Objectives Precise literature recommendation and summarization are crucial for biomedical professionals. While the latest iteration of generative pretrained transformer (GPT) incorporates 2 distinct modes—real-time search and pretrained model utilization—it encounters challenges in dealing with these tasks. Specifically, the real-time search can pinpoint some relevant articles but occasionally provides fabricated papers, whereas the pretrained model excels in generating well-structured summaries but struggles to cite specific sources. In response, this study introduces RefAI, an innovative retrieval-augmented generative tool designed to synergize the strengths of large language models (LLMs) while overcoming their limitations. Materials and Methods RefAI utilized PubMed for systematic literature retrieval, employed a novel multivariable algorithm for article recommendation, and leveraged GPT-4 turbo for summarization. Ten queries under 2 prevalent topics (“cancer immunotherapy and target therapy” and “LLMs in medicine”) were chosen as use cases and 3 established counterparts (ChatGPT-4, ScholarAI, and Gemini) as our baselines. The evaluation was conducted by 10 domain experts through standard statistical analyses for performance comparison. Results The overall performance of RefAI surpassed that of the baselines across 5 evaluated dimensions—relevance and quality for literature recommendation, accuracy, comprehensiveness, and reference integration for summarization, with the majority exhibiting statistically significant improvements (P-values <.05). Discussion RefAI demonstrated substantial improvements in literature recommendation and summarization over existing tools, addressing issues like fabricated papers, metadata inaccuracies, restricted recommendations, and poor reference integration. Conclusion By augmenting LLM with external resources and a novel ranking algorithm, RefAI is uniquely capable of recommending high-quality literature and generating well-structured summaries, holding the potential to meet the critical needs of biomedical professionals in navigating and synthesizing vast amounts of scientific literature.

AbstractSmoldering multiple myeloma (SMM) is a precursor stage that precedes multiple myeloma (MM). SMM is heterogenous with nearly 40% of patients progressing to MM in the first 5 years. The high rate of progression of SMM patients highlights the need for early intervention, which underscores the importance of identifying SMM patients with the highest risk of progression. Several risk stratification models showed utility in identifying high‐risk SMM patients; however, these systems showed limited sensitivity. To date, identifying high‐risk SMM patients remains an important clinical need. In this study, we present the 3‐dimensional telomere profiling as a structural biomarker capable of stratifying SMM patients as a function of genomic instability. Quantifying telomere dysfunction using the TeloView technology showed utility in risk stratification of cancer patients, particularly hematological malignancies. In this study, we analyzed 168 SMM patients. We report an AUC in ROC analysis of 0.8 using a subset of the patients as a training dataset. We then conducted a blind validation on a different cohort and demonstrated a positive predictive value of 85% and negative predictive value of 73%, with sensitivity and specificity of 83% and 76%, respectively. We examined the correlation between the TeloView prediction and the 20‐2‐20 scoring system, and cytogenetic abnormalities. We report a correlation of 53% with the 20‐2‐20 scores and over 60% correlation with cytogenetic abnormalities. The result of this study presents the telomere profiling as an effective biomarker able to stratify SMM patients to their respective risk groups with high sensitivity and specificity.

Tubulin, one of the most abundant cytoskeletal building blocks, has numerous isotypes in metazoans encoded by different conserved genes. Whether these distinct isotypes form cell type– and context-specific microtubule structures is poorly understood. Based on a cohort of 12 patients with primary ciliary dyskinesia as well as mouse mutants, we identified and characterized variants in the TUBB4B isotype that specifically perturbed centriole and cilium biogenesis. Distinct TUBB4B variants differentially affected microtubule dynamics and cilia formation in a dominant-negative manner. Structure-function studies revealed that different TUBB4B variants disrupted distinct tubulin interfaces, thereby enabling stratification of patients into three classes of ciliopathic diseases. These findings show that specific tubulin isotypes have distinct and nonredundant subcellular functions and establish a link between tubulinopathies and ciliopathies.

INTRODUCTION: Obesity is associated with cancer, including gastrointestinal (GI). Data from low (LICs) and lower-middle-income countries (MICs) are limited. METHODS: We utilized data from the Global Burden of Disease Study 2019 to determine the mortality from GI cancer risk of high body mass index (BMI) in these countries. RESULTS: Mortality rates of GI cancers from high BMI increased in LICs and lower MICs, while burdens decreased or remained stable in high and middle-income countries. DISCUSSION: The GI cancer-related burden from high BMI increased in LICs and lower MICs, necessitating a concerted effort to tackle the obesity pandemic.