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INTRODUCTION: Over the last two decades research has grown regarding dairy intake and health. It has been reported by many that yogurt intake may be associated with reduced risk of type 2 diabetes mellitus (T2D). In this report, the United States Food and Drug Administration (FDA) decision to announce a qualified health claim for yogurt products regarding reduced risk of T2D in response to a Danone North America petition is discussed. METHODS: Relevant literature cited in the petition along with supporting evidence from PubMed and Google Scholar databases until April 1st, 2024 were used...

OBJECTIVE: The hemoglobin A1c (HbA1c) diagnostic threshold for type 2 diabetes (T2D) of 6.5 % (48 mmol/mol) was based on the prevalence of retinopathy found in populations not known to have T2D. It is unclear if nephropathy has a similar HbA1c threshold, partly because it is a rarer complication of early diabetes. This cohort study investigated a very high diabetes prevalence population to determine if a better diagnostic HbA1c value can be established for predicting nephropathy rather than retinopathy in subjects without T2D...

AIMS: Despite numerous studies covering the various features of three-dimensional printing (3D printing) technology, and its applications in food science and disease treatment, no study has yet been conducted to investigate applying 3D printing in diabetes. Therefore, the present study centers on the utilization and impact of 3D printing technology in relation to the nutritional, pharmaceutical, and medicinal facets of diabetes management. It highlights the latest advancements, and challenges in this field...

AIM: To build a facial image database and to explore the diagnostic efficacy and influencing factors of the artificial intelligence-based facial recognition (AI-FR) system for multiple endocrine and metabolic syndromes. METHODS: Individuals with multiple endocrine and metabolic syndromes and healthy controls were included from public literature and databases. In this facial image database, facial images and clinical data were collected for each participant and dFRI (disease facial recognition intensity) was calculated to quantify facial complexity of each syndrome...

AIMS: We evaluated whether incorporating information on ethnic background and polygenic risk enhanced the Leicester Risk Assessment (LRA) score for predicting 10-year risk of type 2 diabetes. METHODS: The sample included 202,529 UK Biobank participants aged 40-69 years. We computed the LRA score, and developed two new risk scores using training data (80% sample): LRArev, which incorporated additional information on ethnic background, and LRAprs, which incorporated polygenic risk for type 2 diabetes...

BACKGROUND AND AIMS: Obesity is a chronic disease which can cause severe metabolic disorders. Machine learning (ML) techniques, especially deep learning (DL), have proven to be useful in obesity research. However, there is a dearth of systematic reviews of DL applications in obesity. This article aims to summarize the current trend of DL usage in obesity research. METHODS: An extensive literature review was carried out across multiple databases, including PubMed, Embase, Web of Science, Scopus, and Medline, to collate relevant studies published from January 2018 to September 2023...

BACKGROUND AND AIM: Increasing evidence demonstrates a link between the chronic inflammatory state in patients with rheumatoid arthritis (RA) and the development of insulin resistance. It is thought that anti-TNF-α biologic therapy may improve insulin sensitivity and ameliorate insulin resistance by the downregulation of inflammatory cytokines, however, pre-clinical and clinical studies have yielded conflicting results. A meta-analysis on this topic is necessary to summarize current evidence and generate hypotheses for future research...

AIM: Physical activity (PA), sedentary behavior (SB) and sleep (i.e. 24-h movement behaviors) are associated with health indicators in people with prediabetes and type 2 diabetes (T2D). To optimize 24-h movement behaviors, it is crucial to identify explanatory variables related to these behaviors. This review aimed to summarize the explanatory variables of 24-h movement behaviors in people with prediabetes or T2D. METHODS: A systematic search of four databases (PubMed, Web of Science, Scopus & Embase) was performed...

BACKGROUND AND AIMS: Acute onset de novo movement disorder is an increasingly recognized, yet undereported complication of diabetes. Hyperglycemia can give rise to a range of different movement disorders, hemichorea-hemiballism being the commonest. This article delves into the current knowledge about this condition, its diverse presentations, ongoing debates regarding its underlying mechanisms, disparities between clinical and radiological findings, and challenges related to its management...

BACKGROUND AND AIMS: Diabetic gastroparesis (DGp) is a common and preventable complication of uncontrolled diabetes mellitus (D.M.) and significantly affects the Quality of Life of patients. Diagnosis and management present as a clinical challenge due to the disease's complexity and limited effective therapeutic options. This review aims to comprehensively outline the pathogenesis, diagnosis, and management of diabetic gastroparesis, evaluating evolving approaches to guide clinicians and provide future recommendations...

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BACKGROUND AND AIMS: The impact of the coronavirus disease 2019 (COVID-19) pandemic on pregnant women, especially those with gestational diabetes mellitus (GDM), has yet to be fully understood. This review aims to examine the interaction between GDM and COVID-19 and to elucidate the pathophysiological mechanisms underlying the comorbidity of these two conditions. METHODS: We performed a systematic literature search using the databases of PubMed, Embase, and Web of Science with appropriate keywords and MeSH terms...

AIMS: Type 2 diabetes (T2D), a prevalent cardiovascular disease, is linked with cardiac arrhythmias such as atrial fibrillation (AF) and ventricular arrhythmia. This study evaluated T2D's impact on these arrhythmias in patients with obstructive hypertrophic cardiomyopathy (OHCM). METHODS AND MATERIALS: We retrospectively analyzed the data of 75 patients with OHCM and T2D from two medical centers in China from 2011 to 2020. A propensity score-matched cohort of 150 patients without T2D was also analyzed...

BACKGROUND: Type 2 diabetes is now considered a heterogenous disease. Distinct clusters have been identified with patterns varying between Europeans and South Asians as well as between South Indians who have described a novel cluster; Combined Insulin-Resistant and Deficient Diabetes, and individuals from West and East India who have reported that insulin deficiency is the primary driver of heterogeneity. Therefore, North Indian patients may also have a distinct, novel clustering pattern due to unique genetic, epigenetic, and environmental factors...

AIMS: Since knowledge, skills, and attitudes influence the adherence to self-care behaviours, the purpose of this review was to identify available instruments that measure diabetes knowledge, skills or attitudes of people living with this health condition and to evaluate their measurement properties. METHODS: A systematic search was conducted in PubMed, EMBASE, SCOPUS, Web of Science and CINAHL databases. The methodological quality of the included studies was assessed by the Consensus-based Standards for the selection of health Measurement Instruments...

BACKGROUND: The platelet-to-lymphocyte ratio (PLR), a promising inflammatory biomarker, contributes to the development of atherosclerosis and type 2 diabetes (T2D). Therefore, this study aimed to elucidate the importance of PLR in predicting adverse events in people undergoing percutaneous coronary intervention (PCI) with T2D. METHODS: We consecutively enrolled 8831 people who underwent PCI and divided them into four groups according to PLR and glycemic metabolic status (PLR-Low/High without T2D, PLR-Low/High with T2D)...

AIMS: To determine whether cumulative blood pressure (BP) could predict stroke in individuals with type 2 diabetes (T2D). METHODS: BP levels at baseline and the initial three visits were obtained from individuals participating in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial who had not experienced a stroke. Cumulative elevations in BP were assessed by adding the weighted mean BP values at various time intervals. The association of cumulative BP with stroke was evaluated by a multivariate-adjusted Cox proportional hazard model analysis...

BACKGROUND: The aim of this study was to describe the clinical characteristics of people with diabetic foot ulcer (DFU) according to glucose variability (GV) and to investigate the relationship between GV and DFU outcome in a population with type 2 diabetes (T2D) and DFU. METHODS: This is a retrospective study of 300 individuals aged 64.3 years (181 males) treated for DFU in a tertiary-care center with a regular follow-up for 6 months. Laboratory measurements and clinical assessments were collected at baseline...

BACKGROUND AND AIMS: This review aims to estimate the prevalence of undernutrition among migrants, refugees, internally displaced children, and children of migrated parents living in lower-middle-income countries. METHODS: PubMed, Scopus, Science-Direct, CINAHL-Plus, & Google Scholar were searched for peer-reviewed evidence published between January 2010 to March 2023. Two researchers independently examined the studies and retrieved the data. The internal and external validity of the studies was assessed using the NIH quality assessment tool, and a checklist adapted from Downs & Black, Bracht & Glass, and Del Siegle's guidelines...

AIM: To improve the diagnosis and classification of patients who fail to satisfy current type 1 diabetes diagnostic criteria. METHODS: Review of the literature and current diagnostic guidelines. DISCUSSION: We propose a novel, clinically useful classification based on islet autoantibody status and non-fasting C-peptide levels. Notably, we discuss the subgroup of latent autoimmune diabetes in the young and propose a new subgroup classification of autoantibody negative type 1 diabetes in remission...