Prediabetes and lifestyle modification: time to prevent a preventable disease

Impact of time-restricted feeding on glycemic indices, vascular oxidative stress, and inflammation in an obese prediabetes rat model induced by a high-fat diet and sugar drink

OBJECTIVE

This study aims to investigate the effects of time-restricted feeding (TRF) on glycaemic indices and aortic tissue oxidative stress and inflammation in an obese prediabetes rat model.

METHODS AND PROCEDURES

Male Sprague-Dawley rats were divided into two normal and four obese groups. Obese prediabetes was induced by feeding a high-fat diet and sucrose water (HFSD) for 10 weeks; normal rats were given a standard diet and plain water. For the next 6 weeks, rats were grouped into the normal group (NR), which continued on the standard diet; the normal group was switched to TRF with the standard diet (NR + TRFSD); the prediabetes group (OR) was continued on HFSD; the prediabetes group was switched to TRF of HFSD (OR + TRFHFSD); the prediabetes group was switched to TRF of the standard diet (OR + TRFSD); and the prediabetes group was switched to the standard diet (OR + SD). Rats were then sacrificed, and aortic tissues were isolated and quantified for oxidative stress markers malondialdehyde, antioxidant enzyme superoxide dismutase, and inflammation markers tumor necrosis factor-α, and interleukin 1. Fasting blood glucose (FBG), body weight, Lee's index, serum insulin level, and resistance (Homeostatic Model Assessment of Insulin Resistance) were also measured.

RESULTS

Mean FBG and body weight in obese groups were higher compared to the normal groups after 10 weeks of HFDSD. Both obese-prediabetes groups that underwent TRF had reduced levels of tumor necrosis factor-α, interleukin 1, body weight, Lee's index, FBG, and insulin resistance. Furthermore, obese prediabetes on TRF with SD also reduced levels of lipid peroxidation (malondialdehyde), insulin levels and increased levels of the antioxidant enzyme (superoxide dismutase).

CONCLUSION

TRF reduced weight, improved glycaemic indices, vascular oxidative stress, and inflammation in obese-prediabetic rats.

Effects of Non-Surgical Periodontal Therapy on Glycemic Control in Prediabetes and Diabetes Patients with Stage II-IV Periodontitis as Monitored by Active-Matrix Metalloproteinase-8 Levels

Background/Objectives: Previous research indicates that non-surgical periodontal therapy (NSPT) improves glycemic control in individuals with prediabetes and diabetes who have periodontitis. Few studies have demonstrated its effects on mouthrinse active-matrix metalloproteinase-8 (aMMP-8) levels as it relates to glycemic control. We assessed the periodontal treatment response of stage II-IV periodontitis patients with prediabetes, diabetes, and normoglycemia, regarding glycated hemoglobin (HbA1c) and mouthrinse aMMP-8 levels using point-of-care kits (PoC). Materials and Methods: Eighty-eight adults (11 normoglycemic, 32 prediabetic, 45 with type 2 diabetes), aged 25-78, with stage II-IV periodontitis were included. Full-mouth clinical examinations were used to evaluate their periodontal parameters. HbA1c and mouthrinse aMMP-8 levels were assessed using PoC kits before and approximately three months after scaling and root planing. Results: There were positive treatment effects of non-surgical periodontal therapy on periodontal clinical parameters, aMMP-8 and HbA1c levels in the prediabetes and diabetes groups. The aMMP-8 reduction was significant (p < 0.001) in the prediabetes and prediabetes + diabetes groups, while HbA1c decreased significantly in the diabetes and prediabetes + diabetes (p < 0.001) groups. In contrast, a non-significant increase in mean aMMP-8 levels, HbA1c, and CAL was observed in normoglycemia (p > 0.05). Stage III + IV periodontitis showed significant treatment effects for aMMP-8 (p < 0.001) and HbA1c (p < 0.01) compared to stage II, regardless of glycemic status. Conclusions: Non-surgical periodontal therapy significantly improves periodontal health as well as HbA1c and aMMP-8 levels in people living with prediabetes and diabetes.

Association of dietary decanoic acid intake with diabetes or prediabetes: an analysis from NHANES 2005-2016

Background

With the increasing prevalence of prediabetes and diabetes, exploring dietary factors associated with prediabetes and diabetes has become a global health research priority. This study aimed to assess the relationship between dietary decanoic acid (DDA) intake and the risk of diabetes and prediabetes.

Methods

Data from the National Health and Nutrition Examination Survey (NHANES) 2005-2016 included 11,477 adult participants. DDA intake was assessed through two 24-h dietary recalls and participants were grouped according to the diagnostic criteria for diabetes and prediabetes. Multivariate regression models were applied to analyze the relationship between DDA intake and diabetes and prediabetes, with subgroup analyses conducted to explore potential interactions.

Results

Dietary decanoic acid intake was significantly negatively associated with the risk of diabetes. In the fully adjusted model, each 1 g/day increase in DDA intake was associated with a 19% reduction in the odds of developing diabetes from prediabetes (OR = 0.81, 95% CI: 0.68-0.96, p = 0.015) and this negative association was more pronounced in individuals with higher education level (P for interaction = 0.006). Compared with the DDA intake ≤0.18 g/day, DDA intake >0.58 g/day is related to reduced risk of progression to diabetes in prediabetic patients. However, the relationship between DDA intake and the risk of prediabetes was not statistically significant in the fully adjusted model (OR = 0.95, 95% CI: 0.84-1.07, p = 0.404).

Conclusion

This study found that higher DDA intake may be associated with lower prevalence of diabetes among prediabetic population, and high education level strengthen this relationship.

Characteristics and risk factors associated with developing prediabetes in Saudi Arabia

OBJECTIVE

Prediabetes is prevalent in Saudi Arabia and globally. It is associated with adverse health outcomes and complications. Consequently, this study aimed to determine the risk factors associated with developing prediabetes in Saudi Arabia.

METHODS

This is a case-control study conducted at the Family and Community Medicine Department at Prince Sultan Military Medical City, Riyadh, Saudi Arabia. The cases included individuals with prediabetes (prediabetes group), and the control group included individuals with normal HbA1c levels who were not diagnosed with prediabetes or diabetes. The data collected included sociodemographic data, clinical parameters, laboratory tests, and medical conditions.

RESULTS

The study included 46,201 patients (16,029 patients with prediabetes and 30,173 in the control group). The age of the patients (mean ± SD) with prediabetes was significantly higher than that of the control group (47.22 ± 14.04 versus 36.12 ± 11.83, p < 0.0001). A higher proportion of men was noted in the prediabetes group compared to the control group (36.32% versus 26.54%, p < 0.0001). The body mass index (mean ± SD) was higher in the prediabetes group compared to the control group (33.76 ± 6.75 versus 30.16 ± 7.26, p < 0.0001). The multiple logistic regression analysis showed six independent risk factors associated with prediabetes. These included age (aOR [95% CI] = 1.067 [1.065-1.069]) and gender, with women at a lower risk compared to men (aOR [95% CI] = 0.695 [0.664-0.728]). Other independent risk factors included polycystic ovarian syndrome (aOR [95% CI] = 58.102 (35.731-94.479]), obesity (aOR [95% CI] = 1.265 [1.075-1.487]), cardiac conditions (aOR [95% CI] = 4.870 [1.024-23.154]), and hypertension (aOR [95% CI] = 1.133 [1.031-1.245]).

CONCLUSIONS

The study showed that several risk factors are associated with the development of prediabetes in the Saudi population. Addressing these factors can help prevent prediabetes, and consequently, its burden and further progression to diabetes.

The Application of Mulberry Elements into a Novel Form of Easy-to-Prepare Dried Smoothie

The European market offers a variety of functional foods targeted at prediabetic and diabetic patients, with different approaches to reducing postprandial glucose levels. The utilization of white and black mulberry in new products could be an area of interest to many conscious consumers. The study aimed to design a novel form (dried) of easy-to-prepare product by applying nutritious mulberry in various proportions and creating an aesthetically appealing smoothie product with a distinctive taste profile. Such an easy-to-prepare form of smoothie was obtained by utilizing the freeze-drying process, while typical market smoothies are liquid. Sensory evaluations of the fresh, dried, and reconstructed smoothies and their basic characteristics were conducted. Moreover, antiradical tests (with ABTS+• and DPPH•), the phenolic compound profile (HPLC/PDA), and the L*a*b profile were analyzed. The results of the sensory evaluation tests were divided into two groups: Polish and foreign panelists. It was observed that mulberry-licorice drop-based smoothies were preferred fresh. Yet dried and reconstituted capsule-based smoothies were favored overall. Generally, both Polish and foreign panelists preferred lower concentrations of mulberry and licorice extracts (DB) in fresh smoothies, while in dried or reconstructed smoothie form, panelists scored higher (DC) and lower (DB) concentrations quite similarly (favored both concentrations). From the group of identified phenolic compounds, cinnamic acid derivates dominated all analyzed smoothies. Many analyzed types of flavonoids (quercetin, rutin, kaempferol) and naringenin were found in the smoothies. Some differences were noted in the antiradical tests but were only statistically significant for DPPH• scavenging activity, which was higher for the DB1, DB2, and DC1 samples. Generally, even higher addition of licorice and mulberry did not negatively affect panelists’ ratings and the analyzed activities.

Prediabetes in a French overseas territory: Clinical Characteristics, Risk Factors, and Implications for type 2 diabetes prevention

Background

People with prediabetes are at high risk of developing type 2 diabetes (T2D). This study evaluates clinical, sociodemographic characteristics, and Finnish Diabetes Risk Score (FINDRISC) of individuals with prediabetes recruited in primary care by their general practitioner (GP) for PREDIABRUN study.

Methods

PREDIABRUN, a prospective cohort study in primary care on Reunion Island, aimed to identify risk factors for developing T2D in 500 adults with prediabetes (18-70 years) between July 2019 and December 2022. Sociodemographic, anthropometric, health, and lifestyle data were collected. Participants were categorized as having known prediabetes if their GP was aware of glucose abnormalities before the study, otherwise as newly diagnosed.

Results

A total of 469 subjects were included, with a median age of 55 years; 58.4 % were women. Employment was more common among men (53.3 %) than women (36.1 %). Precariousness affected 35.4 % overall, with higher rates in women (41.6 %) than men (26.7 %, p < 0.001). The major associated health issues were obesity (40.1 %), musculoskeletal disorders (50.5 %), hypertension (46.3 %) and cardiovascular diseases (11.5 %). The median FINDRISC score was 16 [IQR: 12-19], higher in women (17 [14-20]) than men (15 [11-17], p < 0.001). For more than half the population (55.0 %), prediabetes status was already known. However, lifestyle habits were similar for those with newly diagnosed prediabetes and those with prediabetes already known.

Conclusion

Screened population in primary care on Reunion Island is relatively young, with a high FINDRISC score and numerous medical conditions. Tailored intervention to improve dietary habits and increase physical activity could help prevent diabetes in this high-risk group.

A digital health-supported and community pharmacy-based lifestyle intervention program for adults with pre-diabetes: a study protocol for a cluster randomised controlled trial

INTRODUCTION

Pre-diabetes indicates an elevated risk of developing type-2 diabetes and presents a window for preventive actions. The Pre-diabetes Intervention, Management and Evaluation (PRIME) programme is a community pharmacy-based pre-diabetes management programme that uses a mobile application for self-monitoring and pre-diabetes education, aiming to promote lifestyle changes among participants with pre-diabetes.

METHODS AND ANALYSIS

This is a protocol for a cluster randomised controlled trial that aims to evaluate the impact of the PRIME programme on participants' clinical outcomes and explore participants' and pharmacists' views towards its implementation. This protocol describes the development of the PRIME programme and mobile app, its feasibility and implementation in community pharmacy settings. 16 pharmacies from two states in Malaysia will be randomised to the intervention arm or standard care. The study will include overweight or obese adults with pre-diabetes. During each follow-up visit at the pharmacy, intervention participants will receive in-depth counselling from pharmacists after reviewing their self-monitoring data recorded in the PRIME app. They will also receive pre-diabetes education through the app and join a peer support chatgroup. The primary clinical outcome includes changes in body weight at 6 months, while the secondary clinical outcomes include changes in blood glucose profile, lipid profile, blood pressure and adiposity measures. The sustainability of the PRIME programme will be accessed using a follow-up questionnaire, while participants' engagement with the intervention will be evaluated using attendance rate and the app data. Focus group discussions and one-to-one interviews will be conducted for process evaluation. This study will inform the impact of community pharmacists-led digital health intervention in pre-diabetes management.

ETHICS AND DISSEMINATION

This study has been registered with clinicaltrials.gov (NCT04832984) and approved by the Monash University Human Research Ethics Committee (Project ID: 27512).

TRIAL REGISTRATION NUMBER

clinicaltrials.gov (NCT04832984).

Insights to the emerging potential of glucokinase activators as antidiabetic agent

The glucokinase enzyme (belongs to the hexokinase family) is present in liver cells and β-cells of the pancreas. Glucokinase acts as a catalyst in the conversion of glucose-6-phosphate from glucose which is rate-limiting step in glucose metabolism. Glucokinase becomes malfunctional or remains inactivated in diabetes. Glucokinase activators are compounds that bind at the allosteric site of the glucokinase enzyme and activate it. This article highlights the patent and recent research papers history with possible SAR from year 2014-2023. The data comprises the discussion of novel chemotypes (GKAs) that are being targeted for drug development and entered into clinical trials. GK activators have attracted massive interest since successful results have been reported from clinical trials data.

Attitude, Knowledge, and Practices Regarding Prediabetes in Saudi Arabia: A Cross-Sectional Study on Family Medicine Residents

Background Individuals with prediabetes are at an increased risk of developing type 2 diabetes mellitus (T2DM) and cardiovascular diseases and mortality from any cause. The treatment and early detection of prediabetes and T2DM can aid in the prevention of future health complications. The aim of this research was to assess the attitude, knowledge, and practices of family medicine (FM) residents in Saudi Arabia regarding prediabetes. Methodology This is an online cross-sectional survey study that was conducted between March and May 2023. The study population consisted of family medicine residents who are currently practicing their profession in Saudi Arabia. Results A total of 101 family medicine residents participated in this study. The study participants showed a positive attitude toward prediabetes management with a mean score of 25.4 (standard deviation {SD}: 4.8) out of 30. The study participants showed a moderate level of knowledge regarding prediabetes management with a mean score of 7.0 (SD: 2.2) out of 12. The proportion of participants who were able to identify risk factors that might prompt them to screen for diabetes mellitus ranged from 47.5% (n = 48) to 96.0% (n = 97). The participants' agreement levels for questions that examined their attitude toward the importance of prediabetes screening ranged from 73.3% (n = 74) to 90.1% (n = 91). The most commonly agreed upon barrier was the patient's lack of motivation (n = 80, 79.2%). The most commonly agreed upon interventions that facilitate management and treatment improvements of prediabetes were more resources for patient education and increased access to the diabetes prevention program (DPP), an evidence-based lifestyle change program (n = 80, 79.2%). A body mass index (BMI) of ≥35 kg/m2 was the most commonly reported factor that increases the likelihood of prescribing metformin for a patient with prediabetes. The most commonly agreed upon barrier to prescribing metformin for prediabetes patients was that patients do not like taking medications (n = 67, 66.3%). Conclusions The study participants demonstrated an average level of understanding and a positive attitude regarding the management of prediabetes. A significant percentage of the participants demonstrated comprehension of risk factors associated with diabetes, as well as appropriate screening methods, with fasting blood glucose tests being of particular interest. It is recommended to enhance prediabetes management through heightened awareness and education concerning screening methodologies and lifestyle modifications.

The interplay between vitamin D status, subclinical inflammation, and prediabetes

Vitamin D's role extends beyond classical calcium and phosphate homeostasis to encompass a pivotal influence on immune modulation and metabolic health. The mechanisms by which vitamin D exerts these effects involve its conversion to hormonally active calcitriol, which binds intracellular vitamin D receptors, initiating various downstream cascades. In this review, we tease out the evidence showing the relationship between vitamin D deficiency and prediabetes within the context of subclinical inflammation, with a special focus on the novel monocyte-to-HDL ratio (MHR), a novel inflammatory marker reflecting subclinical inflammation. This was based on a thorough literature review using reputable databases covering the period from 1980 to 2024. In light of this, we discuss calcitriol's anti-inflammatory effects and consequently link vitamin D deficiency to both overt and subclinical inflammation. Additionally, the utility of several biomarkers, notably MHR, in investigating this association is also discussed. We further reviewed the role of vitamin D deficiency in precipitating prediabetes and type 2 diabetes mellitus (T2DM) via insulin resistance, decreased insulin synthesis and secretion, and subclinical inflammation. Taken together, this mini review highlights that vitamin D deficiency is significantly associated with subclinical inflammation, playing a critical role in the development of prediabetes and the progression to T2DM. Addressing vitamin D deficiency through appropriate interventions may serve as a preventative measure against the development of prediabetes and T2DM.

The gut microbiota intervenes in glucose tolerance and inflammation by regulating the biosynthesis of taurodeoxycholic acid and carnosine

Objective

This study aims to investigate the pathogenesis of hyperglycemia and its associated vasculopathy using multiomics analyses in diabetes and impaired glucose tolerance, and validate the mechanism using the cell experiments.

Methods

In this study, we conducted a comprehensive analysis of the metagenomic sequencing data of diabetes to explore the key genera related to its occurrence. Subsequently, participants diagnosed with impaired glucose tolerance (IGT), and healthy subjects, were recruited for fecal and blood sample collection. The dysbiosis of the gut microbiota (GM) and its associated metabolites were analyzed using 16S rDNA sequencing and liquid chromatograph mass spectrometry, respectively. The regulation of gene and protein expression was evaluated through mRNA sequencing and data-independent acquisition technology, respectively. The specific mechanism by which GM dysbiosis affects hyperglycemia and its related vasculopathy was investigated using real-time qPCR, Western blotting, and enzyme-linked immunosorbent assay techniques in HepG2 cells and neutrophils.

Results

Based on the published data, the key alterable genera in the GM associated with diabetes were identified as Blautia, Lactobacillus, Bacteroides, Prevotella, Faecalibacterium, Bifidobacterium, Ruminococcus, Clostridium, and Lachnoclostridium. The related metabolic pathways were identified as cholate degradation and L-histidine biosynthesis. Noteworthy, Blautia and Faecalibacterium displayed similar alterations in patients with IGT compared to those observed in patients with diabetes, and the GM metabolites, tauroursodeoxycholic acid (TUDCA) and carnosine (CARN, a downstream metabolite of histidine and alanine) were both found to be decreased, which in turn regulated the expression of proteins in plasma and mRNAs in neutrophils. Subsequent experiments focused on insulin-like growth factor-binding protein 3 and interleukin-6 due to their impact on blood glucose regulation and associated vascular inflammation. Both proteins were found to be suppressed by TUDCA and CARN in HepG2 cells and neutrophils.

Conclusion

Dysbiosis of the GM occurred throughout the entire progression from IGT to diabetes, characterized by an increase in Blautia and a decrease in Faecalibacterium, leading to reduced levels of TUDCA and CARN, which alleviated their inhibition on the expression of insulin-like growth factor-binding protein 3 and interleukin-6, contributing to the development of hyperglycemia and associated vasculopathy.

Knowledge, Attitude, Practice, and Barriers Regarding Prediabetes Among Adults in Saudi Arabia

Background Prediabetes refers to a clinical condition in which blood glucose levels are elevated but do not meet the threshold for diabetes. Prediabetes is now thought to be reversible; lifestyle changes and other interventions can be successfully implemented during the prediabetes phase to avoid the development of type 2 diabetes. This study aims to improve health outcomes among Saudi community members who are at risk of developing prediabetes by assessing their knowledge, attitudes, practices, and barriers using a validated prediabetes questionnaire. Methods This study employed a cross-sectional design across various regions of Saudi Arabia. It included patients who were all non-diabetic Saudi adults over 18 years old and visited outpatient clinics. Structured questionnaires, which included participants' demographic information, knowledge, attitudes, practices, and barriers related to prediabetes, were employed. The collected data were analyzed using Statistical Product and Service Solutions (SPSS; IBM SPSS Statistics for Windows, Armonk, NY) software program. Results Data from 641 patients were collected in this survey. The respondents were predominantly female (330, 51.5%), with the mean ± SD of age being 36.3 ± 12.3. The participant knowledge levels of prediabetes were found to be good (399, 62.2%), moderate (193, 30.1%), and poor (49, 7.6%). The knowledge scores were significantly associated with age (P = 0.027), educational level (P < 0.001), education in the medical field (P = 0.019), and monthly family income (P = 0.009). The overall attitude of the participants toward prediabetes was generally positive (468, 73%). The practices related to diet and lifestyle among the participants were generally poor (538, 84%). Some participants did not take blood sugar tests because they were not available (121, 18.9%), lacked time (179, 27.9%), and were afraid of learning the test results (130, 20.3%). Conclusion The study found that, despite possessing an adequate level of knowledge and positive attitudes, Saudi patients poorly practice prevention methods for prediabetes. It highlights the need for targeted interventions to improve prediabetes awareness, promote healthier lifestyles, and address screening barriers. Prioritizing evidence-based strategies that cater to diverse demographic needs can prevent the progression of type 2 diabetes and enhance public health. The findings emphasize the importance of health education in Saudi Arabia and suggest that future research should focus on overcoming barriers, such as management complexity, diagnosis apprehension, and time constraints for check-ups.

Effects of a diverse prebiotic fibre supplement on HbA1c, insulin sensitivity and inflammatory biomarkers in pre-diabetes: a pilot placebo-controlled randomised clinical trial

Prebiotic fibre represents a promising and efficacious treatment to manage pre-diabetes, acting via complementary pathways involving the gut microbiome and viscosity-related properties. In this study, we evaluated the effect of using a diverse prebiotic fibre supplement on glycaemic, lipid and inflammatory biomarkers in patients with pre-diabetes. Sixty-six patients diagnosed with pre-diabetes (yet not receiving glucose-lowering medications) were randomised into treatment (thirty-three) and placebo (thirty-three) interventions. Participants in the treatment arm consumed 20 g/d of a diverse prebiotic fibre supplement, and participants in the placebo arm consumed 2 g/d of cellulose for 24 weeks. A total of fifty-one and forty-eight participants completed the week 16 and week 24 visits, respectively. The intervention was well tolerated, with a high average adherence rate across groups. Our results extend upon previous work, showing a significant change in glycated haemoglobin (HbA1c) in the treatment group but only in participants with lower baseline HbA1c levels (< 6 % HbA1c) (P = 0·05; treatment -0·17 ± 0·27 v. placebo 0·07 ± 0·29, mean ± sd). Within the whole cohort, we showed significant improvements in insulin sensitivity (P = 0·03; treatment 1·62 ± 5·79 v. placebo -0·77 ± 2·11) and C-reactive protein (P FWE = 0·03; treatment -2·02 ± 6·42 v. placebo 0·94 ± 2·28) in the treatment group compared with the placebo. Together, our results support the use of a diverse prebiotic fibre supplement for physiologically relevant biomarkers in pre-diabetes.

Hormone imbalances detected in study participants with pre-diabetes in a Durban-based clinical setting, South Africa

Background

Type II diabetes mellitus onset is linked with hormonal imbalances. However, the knowledge about hormonal alterations in pre-diabetes is limited.

Objective

The study aimed to examine type II diabetes mellitus-associated hormone levels during the pre-diabetes phase in participants aged 25–45 in a Durban-based clinical setting in South Africa.

Methods

Stored plasma samples from a retrospective study collected 364 samples that were divided into pre-diabetes and non-pre-diabetes groups. From the 364, 38 samples from the group of persons without pre-diabetes and 38 from persons with glycated haemoglobin determined pre-diabetes were blindly selected. The hormone concentrations (C-peptide, cortisol, adipokines, thyroids, incretins, and sex steroids) of the study participants were measured using the BIO-RAD Bio-Plex MAGPIX instrument.

Results

Hormone imbalances in several hormones were detected in study participants with pre-diabetes. Most of the hormone dysregulation associated with T2DM begins in pre-diabetes but at a moderate level.

Conclusion

The findings reveal new possible hormone therapy targets for pre-diabetes and contribute to the growing support for targeting pre-diabetes as a preventative measure for T2DM prevention.

Prediabetes in children and adolescents: A ticking bomb!

Prediabetes in children and adolescents is on the rise which has drawn significant attention over the past decade. It is an early warning sign of the underlying pathophysiological changes which in due course of time might compound into type II diabetes mellitus. The incidence of prediabetes in adolescents ranges from 4%-23% which is alarmingly high and requires active intervention from the system. We have discussed early identification of high-risk patients, prompt screening and active intervention to manage this growing problem.

Habitual coffee drinking and the chance of prediabetes remission: findings from a population with low coffee consumption

Introduction

We aimed to investigate the association between coffee drinking and total caffeine intakes with the chance of prediabetes (Pre-DM) regression and progression over 9-years of follow-up.

Research design and methods

This cohort study included 334 Pre-DM individuals (mean age of 49.4 ± 12.8 years and 51.5% men) who participated in the third phase of the Tehran Lipid and Glucose Study (2006-2008). A validated food frequency questionnaire at baseline assessed habitual coffee consumption. All measurements were done at baseline and all subsequent examinations with 3-year follow-up intervals. The odds ratios (OR) and 95% confidence intervals (CIs) of Pre-DM regression to normal glycemia or progression to type 2 diabetes (T2D) in coffee drinkers/non-drinkers were estimated using multinomial logistic regression analysis.

Results

During the study follow-up 39.8% of the study participants were progressed to T2D and 39.8% returned to normal glycemia. Coffee consumption nearly doubled the chance of returning to normal (OR = 2.26, 95% CI = 1.03-4.97). Total caffeine intake was not related to Pre-DM progression and regression. Compared to non-drinkers, coffee drinkers had significantly lower 2-hour serum glucose concentrations over time (152, 95% CI = 144-159 vs. 162, 95% CI = 155-169 mg/dL, P = 0.05).

Conclusions

Habitual coffee drinking may increase the chance of returning to normal glycemia in Pre-DM subjects.

Impact of integrative care on cardiovascular disease risk in newly diagnosed type 2 diabetes mellitus patients: A BI-VitalLife Cohort study

INTRODUCTION

Type 2 diabetes mellitus (T2DM), a chronic metabolic disorder, significantly increases cardiovascular disease (CVD) risk. Integrative care (IC) offers a personalized health management approach, utilizing various interventions to mitigate this risk. However, the impact of IC on CVD risk in newly diagnosed T2Dm patients remains unclear. This study aims to assess the differences in CVD risk development within 120 months following a new diagnosis of T2DM, using real-world data from Bumrungrad International Hospital and Vitallife Scientific Wellness Center.

METHODS

This study utilized the BI-VitalLife Cohort dataset that contains de-identified demographics, vitals, diagnoses and clinical information, laboratory and radiological data, medications, and treatments of more than 2.8 million patients who visited Bumrungrad International Hospital and/or VitalLife Scientific Wellness Center from June 1, 1999, to May 31, 2022. This study focused on newly diagnosed T2DM patients, defined according to American Diabetes Association criteria. We compared CVD risk between the IC and conventional care (CC) groups using the Kaplan-Meier curve and Cox proportional hazard model, adjusted for age, sex, and laboratory values. Propensity score matching was employed to enhance comparability.

RESULTS

Of the 5,687 patients included, 236 were in the IC group and 5,451 in the CC group. The IC group, characterized by a lower age at T2DM diagnosis, showed favorable hematological and metabolic profiles. The Cox proportional hazard ratios revealed a significantly lower CVD risk in the IC group within 120 months post-T2DM diagnosis compared to the CC group, consistent even after adjusting for confounding factors. Propensity score-matched analysis supported these findings.

CONCLUSION

Personalized integrative care may offer a significant advantage in reducing CVD risk among newly diagnosed T2DM patients compared to conventional care, even when considering various confounding factors. This study sheds light on the potential of integrative care in informing treatment strategies for T2DM patients at risk of developing CVD.

Adding a Brief Continuous Glucose Monitoring Intervention to the National Diabetes Prevention Program: A Multimethod Feasibility Study

The National Diabetes Prevention Program (DPP) promotes lifestyle changes to prevent diabetes. However, only one-third of DPP participants achieve weight loss goals, and changes in diet are limited. Continuous glucose monitoring (CGM) has shown potential to raise awareness about the effects of diet and activity on glucose among people with diabetes, yet the feasibility of including CGM in behavioral interventions for people with prediabetes has not been explored. This study assessed the feasibility of adding a brief CGM intervention to the Arizona Cooperative Extension National DPP. Extension DPP participants were invited to participate in a single CGM-based education session and subsequent 10-day CGM wear period, during which participants reflected on diet and physical activity behaviors occurring prior to and after hyperglycemic events. Following the intervention, participants completed a CGM acceptability survey and participated in a focus group reflecting on facilitators and barriers to CGM use and its utility as a behavior change tool. A priori feasibility benchmarks included opt-in participation rates ≥ 50%, education session attendance ≥ 80%, acceptability scores ≥ 80%, and greater advantages than disadvantages of CGM emerging from focus groups, as analyzed using the Key Point Summary (KPS) method. Thirty-five DPP members were invited to participate; 27 (77%) consented, and 24 of 27 (89%) attended the brief CGM education session. Median survey scores indicated high acceptability of CGM (median = 5, range = 1-5), with nearly all (n = 23/24, 96%) participants believing that CGM should be offered as part of the DPP. In focus groups, participants described how CGM helped them make behavior changes to improve their glucose (e.g., reduced portion sizes, increased activity around eating events, and meditation). In conclusion, adding a single CGM-based education session and 10-day CGM wear to the DPP was feasible and acceptable. Future research will establish the efficacy of adding CGM to the DPP on participant health outcomes and behaviors.

Cost saving analysis of prediabetes intervention modalities in comparison with inaction using Markov state transition model-A multiregional case study

BACKGROUND

Prediabetes management is a priority for policymakers globally, to avoid/delay type 2 diabetes (T2D) and reduce severe, costly health consequences. Countries moving from low to middle income are most at risk from the T2D "epidemic" and may find implementing preventative measures challenging; yet prevention has largely been evaluated in developed countries.

METHODS

Markov cohort simulations explored costs and benefits of various prediabetes management approaches, expressed as "savings" to the public health care system, for three countries with high prediabetes prevalence and contrasting economic status (Poland, Saudi Arabia, Vietnam). Two scenarios were compared up to 15 y: "inaction" (no prediabetes intervention) and "intervention" with metformin extended release (ER), intensive lifestyle change (ILC), ILC with metformin (ER), or ILC with metformin (ER) "titration."

RESULTS

T2D was the highest-cost health state at all time horizons due to resource use, and inaction produced the highest T2D costs, ranging from 9% to 34% of total health care resource costs. All interventions reduced T2D versus inaction, the most effective being ILC + metformin (ER) "titration" (39% reduction at 5 y). Metformin (ER) was the only strategy that produced net saving across the time horizon; however, relative total health care system costs of other interventions vs inaction declined over time up to 15 y. Viet Nam was most sensitive to cost and parameter changes via a one-way sensitivity analysis.

CONCLUSIONS

Metformin (ER) and lifestyle interventions for prediabetes offer promise for reducing T2D incidence. Metformin (ER) could reduce T2D patient numbers and health care costs, given concerns regarding adherence in the context of funding/reimbursement challenges for lifestyle interventions.

A Study on Yoga-Based Lifestyle Intervention versus Dietary Intervention Alone on Cardiometabolic Risk Factors among People with Prediabetes

BACKGROUND

Prediabetes is presented as a metabolic state that predisposes persons to a greater risk of diabetes progression in the future. Prediabetes is an intervening stage between normoglycemia and diabetes with impaired fasting glucose and impaired glucose tolerance. This study aimed to compare the effect of the yoga-based lifestyle intervention (including diet) versus dietary intervention (DI) alone on cardiometabolic parameters namely fasting blood glucose (FBG), glycated hemoglobin (HbA1C), lipid profile; triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), very low-density lipoprotein (VLDL), heart rate variability (HRV), and carotid intima-media thickness (CIMT) among people with prediabetes.

METHODS

A randomized controlled study was conducted on 250 people with prediabetes who were randomly allocated by computer-generated methods to the yoga-based lifestyle intervention (including diet) (n = 125) and DI alone (n = 125) groups. Yoga sessions were approximately 45 min 6 days a week over a period of 6 months. Assessments were made at baseline and after 6 months of intervention.

RESULTS

Post-intervention comparison of cardiometabolic parameters in yoga-based lifestyle intervention (including diet) versus DI alone showed a significant decline in body mass index (P = 0.0002), waist-hip ratio (P = 0.0001), systolic blood pressure (P = 0.0001), diastolic blood pressure (P = 0.0001), perceived stress score (P = 0.0001), FBG (P = 0.0001), HbA1C (P = 0.0001), lipid profile; TG (P = 0.008), LDL (P = 0.0001), VLDL (P = 0.0001), HRV (P = 0.0001), CIMT (P = 0.02) and a nonsignificant decline in, TC (P = 0.22), HDL (P = 0.211), FFQ (P = 0.164).

CONCLUSION

The finding of this study suggests that a 24-week yoga-based lifestyle intervention which includes diet significantly decreased cardiometabolic parameters compared to DI alone among people with prediabetes.

Explanatory variables of objectively measured 24-h movement behaviors in people with prediabetes and type 2 diabetes: A systematic review

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. Only objective measurements of 24-h movement behaviors were included in the search strategy. The explanatory variables were classified according to the levels of the socio-ecological model (i.e. intrapersonal, interpersonal and environmental). The risk of bias was assessed using the Joanna Briggs Institute appraisal checklist.

RESULTS

None of the 78 included studies investigated 24-h movement behaviors. The majority of the studies investigated PA in isolation. Most studied explanatory variables were situated at the intrapersonal level. Being male was associated with more moderate to vigorous PA but less light PA in people with T2D, and more total PA in people with prediabetes. An older age was associated with a decrease in all levels of PA in people with T2D. HbA1c was positively associated with sleep and SB in both groups. No associations were found at the interpersonal or environmental level.

CONCLUSION

The results of this review underscore the lack of a socio-ecological approach toward explanatory variables of 24-h movement behaviors and the lack of focus on an integrated 24-h movement behavior approach in both populations.

Imaging of Sarcopenia in Type 2 Diabetes Mellitus

Sarcopenia is an age-related condition characterized by the loss of skeletal muscle mass, muscular strength, and muscle function. In older adults, type 2 diabetes mellitus (T2DM) constitutes a significant health burden. Skeletal muscle damage and deterioration have emerged as novel chronic complications in patients with diabetes, often linked to their increased longevity. Diabetic sarcopenia has been associated with increased rates of hospitalization, cardiovascular events, and mortality. Nevertheless, effectively managing metabolic disorders in patients with T2DM through appropriate therapeutic interventions could potentially mitigate the risk of sarcopenia. Utilizing imaging technologies holds substantial clinical significance in the early detection of skeletal muscle mass alterations associated with sarcopenia. Such detection is pivotal for arresting disease progression and preserving patients' quality of life. These imaging modalities offer reproducible and consistent patterns over time, as they all provide varying degrees of quantitative data. This review primarily delves into the application of dual-energy X-ray absorptiometry, computed tomography, magnetic resonance imaging, and ultrasound for both qualitative and quantitative assessments of muscle mass in patients with T2DM. It also juxtaposes the merits and limitations of these four techniques. By understanding the nuances of each method, clinicians can discern how best to apply them in diverse clinical scenarios.

MicroRNAs Targeting Critical Molecular Pathways in Diabetic Cardiomyopathy Emerging Valuable for Therapy

MicroRNAs have emerged as an important regulator of post-transcriptional gene expression studied extensively in many cancers, fetal development, and cardiovascular diseases. Their endogenous nature and easy manipulation have made them potential diagnostic and therapeutic molecules. Diseases with complex pathophysiology such as Diabetic Cardiomyopathy display symptoms at a late stage when the risk of heart failure has become very high. Therefore, the utilization of microRNAs as a tool to study pathophysiology and device-sustainable treatments for DCM could be considered. The present review focuses on the mechanistic insights of diabetic cardiomyopathy and the potential role of microRNAs.

Prevalence of pre-diabetes in adults aged 25 - 45 years in a Durban-based clinical setting, South Africa: A retrospective study

AIM

Due to pre-diabetes being underexplored, its prevalence was investigated in study participants aged 25-45 years in a Durban-based tertiary-level clinical setting in South Africa.

METHODS

The study was done using a retrospective study design. Fasting blood samples from consented patients with no previous diagnosis of diabetes and within the specified age range were collected from King Edward Hospital in Durban. The pre-diabetes diagnosis was confirmed in participants with fasting glucose concentrations between 5.6 and 6.9 mmol/L and glycated haemoglobin (HbA1c) levels between 5.7 % and 6.4 % using the American Diabetes Association (ADA) and World Health Organisation (WHO) diagnosis criteria. The study participants' characterisation was stratified according to the diagnosis criterion, age, gender and ethnicity.

RESULTS

An alarming 68 % average pre-diabetes prevalence across ADA and WHO criteria in the Durban, eThekwini district sample population. The highest prevalence was recorded using the IFG criterion (83%) and the lowest when using the HbA1c criterion (54 %). Between the White, Black and Indian ethnic groups, the Indian group were more predisposed to pre-diabetes onset, with a prevalence of 62.7 %.

CONCLUSION

If pre-diabetes management is unattended, an unprecedented increase in metabolic disorders such as Type 2 Diabetes Mellitus (T2DM) and all-cause mortality incidence can be expected. Therefore, the study reveals a window of opportunity to intensify preventative measures and mitigate the incidence of T2DM.

Red Cell Distribution Width and Prediabetes in Adults in Northern Sudan: A Case-Control Study

Diabetes mellitus (DM) is a major public health issue worldwide. Red cell distribution width (RDW) has been reported to have predictive value in several diseases, including DM. Few data exist on the association between RDW and the prediabetic stage. Thus, the present study aimed to investigate the association between RDW and prediabetes in adults in Sudan. This case-control study was conducted in Northern Sudan in 2022. The cases (n = 107) were prediabetic patients categorized according to the level of glycated hemoglobin (HbA1c), which ranged from 5.7% to 6.4%, while the controls (n = 107) were healthy participants. A questionnaire was used to collect the data. Standard methods were used to measure the HbAIc level and RDW. Logistic regression analysis was performed. The median (interquartile range (IQR)) of the RDW was significantly higher in prediabetic patients than in the controls (14.5% [13.8-15.3%] vs. 14.1% [13.6-14.7%], p = 0.003). Sex, educational level, occupational status, marital status, cigarette smoking, alcohol consumption, family history of DM, and body mass index were not associated with prediabetes. In the multivariate-adjusted model, higher age and higher RDW were associated with prediabetes. A positive correlation was found between RDW and HbA1c levels (r = 0.19, p = 0.006). In conclusion, this study supports the use of RDW as a predictor of DM.

Family Involvement to Stop the Conversion of Prediabetes to Diabetes

Prediabetes is a condition associated with an increased risk of developing diabetes, in which blood glucose levels are high but not high enough to be diagnosed as diabetes. The rapid increase in the prevalence of prediabetes is a major global health challenge. The incidence of prediabetes has increased to pandemic levels and can lead to serious consequences. Unfortunately, nearly 90% of prediabetic individuals are unaware of their ailment. A quarter of prediabetic individuals develop type 2 diabetes mellitus (T2DM) within 3-5 years. Although prediabetes is a reversible condition, the prevention of diabetes has received little attention. It is essential for prediabetic individuals to implement new health-improvement techniques. Focusing on family systems is one strategy to promote health, which is determined by health patterns that are often taught, established, and adjusted within family contexts. For disease prevention, a family-based approach may be beneficial. Family support is essential for the metabolic control of the disease. This study aimed to show several strategies for involving the patient's family members in preventing the conversion of prediabetes to T2DM and to emphasize that the patient's family members are a valuable resource to reduce the incidence of diabetes.

Assessing Elevated Blood Glucose Levels Through Blood Glucose Evaluation and Monitoring Using Machine Learning and Wearable Photoplethysmography Sensors: Algorithm Development and Validation

BACKGROUND

Diabetes mellitus is the most challenging and fastest-growing global public health concern. Approximately 10.5% of the global adult population is affected by diabetes, and almost half of them are undiagnosed. The growing at-risk population exacerbates the shortage of health resources, with an estimated 10.6% and 6.2% of adults worldwide having impaired glucose tolerance and impaired fasting glycemia, respectively. All current diabetes screening methods are invasive and opportunistic and must be conducted in a hospital or laboratory by trained professionals. At-risk participants might remain undetected for years and miss the precious time window for early intervention to prevent or delay the onset of diabetes and its complications.

OBJECTIVE

We aimed to develop an artificial intelligence solution to recognize elevated blood glucose levels (≥7.8 mmol/L) noninvasively and evaluate diabetic risk based on repeated measurements.

METHODS

This study was conducted at KK Women's and Children's Hospital in Singapore, and 500 participants were recruited (mean age 38.73, SD 10.61 years; mean BMI 24.4, SD 5.1 kg/m2). The blood glucose levels for most participants were measured before and after consuming 75 g of sugary drinks using both a conventional glucometer (Accu-Chek Performa) and a wrist-worn wearable. The results obtained from the glucometer were used as ground-truth measurements. We performed extensive feature engineering on photoplethysmography (PPG) sensor data and identified features that were sensitive to glucose changes. These selected features were further analyzed using an explainable artificial intelligence approach to understand their contribution to our predictions.

RESULTS

Multiple machine learning models were trained and assessed with 10-fold cross-validation, using participant demographic data and critical features extracted from PPG measurements as predictors. A support vector machine with a radial basis function kernel had the best detection performance, with an average accuracy of 84.7%, a sensitivity of 81.05%, a specificity of 88.3%, a precision of 87.51%, a geometric mean of 84.54%, and F score of 84.03%.

CONCLUSIONS

Our findings suggest that PPG measurements can be used to identify participants with elevated blood glucose measurements and assist in the screening of participants for diabetes risk.

Physical inactivity and barriers to physical activity among Type-2 diabetics in Kumasi, Ghana

Background

Although the benefits of physical activity (PA) in diabetes management are well documented, there insufficient data on physical activity levels and barriers to physical activity among Type-2 diabetics in Ghana. This study assessed physical activity and barriers to physical activity among Type-2 diabetics at Manhyia Hospital in Kumasi, Ghana.

Methods

The study recruited 97 participants (32% men, 68% women). Physical activity was assessed using the Global physical activity questionnaire and barriers to PA were assessed using the Barriers to being active Quiz. Anthropometry and sociodemographic data were also collected.

Results

Prevalence of overweight/ obesity was 63.9%. About 60% of participants were inactive. Social influence (60.8%) was the most prevalent PA barrier followed by lack of energy (59.8%) and lack of willpower (58.8%). Majority of participants (57.7%) reported at least 4 barriers to being active. There was a significant negative correlation between age and number of PA barriers (r = -0.214, p = 0.035). A significantly higher proportion of employed participants were active compared to the unemployed/ retired participants (p = 0.035).

Conclusion

This population of Type-2 diabetics needs urgent lifestyle interventions to improve physical activity and weight, considering that the main physical activity barriers were personal motivation related.

DMF scores in patients with diabetes mellitus: A systematic review and meta-analysis of observational studies

OBJECTIVE

The aim of this systematic review(SR) is to comprehensively and critically summarise and synthesise the available scientific evidence from observational studies that use the decayed-missed-filled(DMF) index to determine caries experiences among adult patients with diabetes mellitus  (DM) as compared to individuals without DM(non-DM).

DATA

Indices that present examinations of decayed-filled-surfaces(DFS), decayed-missed-filled-surfaces(DMFS), and decayed-missed-filled-teeth(DMFT) established from observational studies were considered.

SOURCES

MEDLINE-PubMed and Cochrane Central databases were searched through 1 February 2023 to identify studies that evaluate DMF indices for adult patients with DM compared to non-DM. The reference lists of the selected studies were reviewed to identify additional potentially relevant studies.

STUDY SELECTION

All studies were independently screened by two reviewers. Included papers were critically appraised using pre-designed forms, and the risk of bias was assessed. Data as means and standard deviations were extracted. A descriptive data presentation was used for all studies. If quantitative methods were feasible, then a meta-analysis was performed. It was decided 'a priori' to perform a sub-analysis on type of DM(I or II). The quality of the studies was assessed.

RESULTS

Initially 932 studies were found, and screening resulted in 13 eligible observational studies. The total number of subjects included in this SR is 21,220. A descriptive analysis of the comparisons demonstrated that eight studies provided data and demonstrated higher DFS (1/2), DMFS (2/3) and DMFT (5/8). This was confirmed by the meta-analysis difference of means(DiffM), which was 3.01([95%CI:1.47,4.54],p=0.0001) for DMFT and 10.30([95% CI:8.50,12.11],p<0.00001) for DMFS. Subgroup analysis showed that this difference is irrespective to the type of DM(DiffM=3.09;[95%CI:2.09,4.09],p<0.00001).

CONCLUSION

There is moderate certainty for a higher DMF index score in DM patients as compared to those without DM disease.

CLINICAL SIGNIFICANCE

This SR indicates a higher DMF index in DM patients. Oral disease prevention should be the focus of the dental care practitioner in this patient category.

Poplar Propolis Improves Insulin Homeostasis in Non-Diabetic Insulin-Resistant Volunteers with Obesity: A Crossover Randomized Controlled Trial

Propolis, a natural resinous mixture rich in polyphenols, produced by bees from a variety of plant sources, has shown significant therapeutic effects and may prevent the development of certain chronic diseases like type 2 diabetes mellitus (T2DM). The objective of this study was to evaluate the effect of supplementation with standardized poplar propolis extract powder (PPEP) on insulin homeostasis in non-diabetic insulin-resistant volunteers with obesity. In this randomized, controlled, crossover trial, nine non-diabetic insulin-resistant volunteers with obesity, aged 49 ± 7 years, were subjected to two periods of supplementation (placebo and PPEP) for 3 months. Blood samples and anthropomorphic data were collected at baseline and at the end of each phase of the intervention. PPEP supplementation improved insulin sensitivity by significantly decreasing the percentage of insulin-resistant subjects and the insulin sensitivity Matsuda index (ISI-M). According to this study, supplementation with standardized PPEP for 3 months in non-diabetic insulin-resistant volunteers with obesity led to an improvement in insulin homeostasis by its effect on insulin resistance and secretion. This study suggests that poplar propolis has a preventive effect on the physiopathological mechanisms of T2DM and, therefore, that it can help to prevent the development of the disease.

Current status and influential factors associated with adherence to self-monitoring of blood glucose with type 2 diabetes mellitus patients in grassroots communities: a cross-sectional survey based on information-motivation-behavior skills model in China

Objective

Self-monitoring of blood glucose (SMBG) plays a vital role in the maintenance of blood glucose with type 2 diabetes mellitus(T2DM) and pre-diabetes patients. The study was intended to describe the current status of SMBG with T2DM and pre-diabetes patients in grassroots communities, explore the relationship between SMBG frequency and blood glucose level and apply information-motivation-behavior(IMB) model to analyze the potential influencing factors of SMBG compliance based on electronic questionnaires.

Methods

A cross-sectional study was conducted with 1388 T2DM and pre-diabetes patients who completed electronic questionnaires composed of demographics and IMB model content. Chi-square test, Mann-Whitney U test and multivariable logistic regression model analysis were utilized to explore deeply causes of SMBG compliance.

Results

The results of this study showed that among 1388 T2DM patients, only 26.2% (363/1388) patients reached SMBG standard, indicating low compliance with SMBG. Given that SMBG is one of the individual predictors of type 2 risk in prediabetes patients, this result suggests that the SMBG compliance rate needs to be improved. Patients with fixed occupation (OR=1.989, P=0.035), BMI in normal range (OR=1.336, P=0.049), smoking habit(OR=1.492, P=0.019), understanding SMBG frequency (OR=1.825, P<0.001), understanding control goal of blood glucose (OR=1.414, P<0.001), knowing all the functions of the blood glucose meter (OR=1.923, P<0.001), buying a blood glucose meter/test paper conveniently(OR=2.329, P=0.047), taking supplementary measurement when forgetting blood glucose test(OR=2.044, P=0.005), rotating all the fingers when measuring blood glucose (OR=1.616, P<0.001) and less pain at the needling site(OR=2.114, P<0.001)were independently promoting factors of adherence to SMBG. However, the lack of accessibility and convenience of blood glucose meter or heavy financial burden were blocking factors of adherence to SMBG. Moreover, there were still bottlenecks such as lack of health care knowledge and needle pricking pain.

Conclusion

This study verified the practicability of applying IMB model to SMBG with T2DM and pre-diabetes patients. Adherence to SMBG still remained to improved, and putting more emphasis in improvement of individual information, motivation and behavioral skills with patients might be beneficial to maintain better adherence to SMBG in long-term routine of diabetes self-management.

Prevalence and predictive modeling of undiagnosed diabetes and impaired fasting glucose in Taiwan: a Taiwan Biobank study

INTRODUCTION

We investigated the prevalence of undiagnosed diabetes and impaired fasting glucose (IFG) in individuals without known diabetes in Taiwan and developed a risk prediction model for identifying undiagnosed diabetes and IFG.

RESEARCH DESIGN AND METHODS

Using data from a large population-based Taiwan Biobank study linked with the National Health Insurance Research Database, we estimated the standardized prevalence of undiagnosed diabetes and IFG between 2012 and 2020. We used the forward continuation ratio model with the Lasso penalty, modeling undiagnosed diabetes, IFG, and healthy reference group (individuals without diabetes or IFG) as three ordinal outcomes, to identify the risk factors and construct the prediction model. Two models were created: Model 1 predicts undiagnosed diabetes, IFG_110 (ie, fasting glucose between 110 mg/dL and 125 mg/dL), and the healthy reference group, while Model 2 predicts undiagnosed diabetes, IFG_100 (ie, fasting glucose between 100 mg/dL and 125 mg/dL), and the healthy reference group.

RESULTS

The standardized prevalence of undiagnosed diabetes for 2012-2014, 2015-2016, 2017-2018, and 2019-2020 was 1.11%, 0.99%, 1.16%, and 0.99%, respectively. For these periods, the standardized prevalence of IFG_110 and IFG_100 was 4.49%, 3.73%, 4.30%, and 4.66% and 21.0%, 18.26%, 20.16%, and 21.08%, respectively. Significant risk prediction factors were age, body mass index, waist to hip ratio, education level, personal monthly income, betel nut chewing, self-reported hypertension, and family history of diabetes. The area under the curve (AUC) for predicting undiagnosed diabetes in Models 1 and 2 was 80.39% and 77.87%, respectively. The AUC for predicting undiagnosed diabetes or IFG in Models 1 and 2 was 78.25% and 74.39%, respectively.

CONCLUSIONS

Our results showed the changes in the prevalence of undiagnosed diabetes and IFG. The identified risk factors and the prediction models could be helpful in identifying individuals with undiagnosed diabetes or individuals with a high risk of developing diabetes in Taiwan.

An Update on the Molecular and Cellular Basis of Pharmacotherapy in Type 2 Diabetes Mellitus

Diabetes mellitus (DM) is a chronic illness with an increasing global prevalence. More than 537 million cases of diabetes were reported worldwide in 2021, and the number is steadily increasing. The worldwide number of people suffering from DM is projected to reach 783 million in 2045. In 2021 alone, more than USD 966 billion was spent on the management of DM. Reduced physical activity due to urbanization is believed to be the major cause of the increase in the incidence of the disease, as it is associated with higher rates of obesity. Diabetes poses a risk for chronic complications such as nephropathy, angiopathy, neuropathy and retinopathy. Hence, the successful management of blood glucose is the cornerstone of DM therapy. The effective management of the hyperglycemia associated with type 2 diabetes includes physical exercise, diet and therapeutic interventions (insulin, biguanides, second generation sulfonylureas, glucagon-like peptide 1 agonists, dipeptidyl-peptidase 4 inhibitors, thiazolidinediones, amylin mimetics, meglitinides, α-glucosidase inhibitors, sodium-glucose cotransporter-2 inhibitors and bile acid sequestrants). The optimal and timely treatment of DM improves the quality of life and reduces the severe burden of the disease for patients. Genetic testing, examining the roles of different genes involved in the pathogenesis of DM, may also help to achieve optimal DM management in the future by reducing the incidence of DM and by enhancing the use of individualized treatment regimens.

Motivational Interviewing in Pediatric Obesity: A Meta-analysis of the Effects on Behavioral Outcomes

BACKGROUND

Currently, the effects of motivational interviewing (MI) on children's behavioral changes remain obscure.

PURPOSE

This systematic review and meta-analysis examined the effects of MI on children's lifestyle behavioral changes (fruits and vegetables [F/V], dairy, sugary beverages, calories, snacks, fat intake, moderate vigorous physical activity [MVPA], and screen time).

METHODS

Six databases (CINAHL, Cochrane, Embase, PsycINFO, PubMed, and Web of Sciences) from 2005 to 2022 were searched. Thirty-one intervention studies with a comparison group met the criteria. Random-effects models were performed to estimate the pooled effects; exploratory moderation analyses with mixed-effects models were used to explore potential intervention moderators.

RESULTS

The pooled effect size was 0.10 (p = .334) on ↑F/V, 0.02 (p = .724) on ↑dairy, -0.29 (p < .001) on ↓calories, -0.16 (p = .054) on ↓sugary beverages, -0.22 (p = .002) on ↓snacks, -0.20 (p = .044) on ↓fat, 0.22 (p = .001) on ↑MVPA, and -0.06 (p = .176) on ↓screen time. The effects of MIs were moderated by ↑MI sessions regarding ↓snacks (B = -0.04, p = .010). Multicomponent and clinical programs had greater effects on dairy intake than their counterparts (0.09 vs. -0.21, p = .034; 0.12 vs. -0.14, p = .027, respectively). Similarly, interventions with a fidelity check resulted in greater dairy intake than those without a check (0.29 vs. -0.15, p = .014). A few long-term follow-up assessments revealed effects on ↓F/V (-0.18; p = .143, k = 2), ↓dairy (-0.13, p = .399, k = 4), ↓MVPA (-0.04; p = .611, k = 6), and ↑screen time (0.12; p = .242, k = 4).

CONCLUSIONS

Our findings support the short-term effects of MI on improving children's lifestyle behaviors. Additional investigations are needed to better sustain children's long-term behavioral changes.

Application of implementation mapping to develop strategies for integrating the National Diabetes Prevention Program into primary care clinics

Background

Diabetes is considered one of the most prevalent and preventable chronic health conditions in the United States. Research has shown that evidence-based prevention measures and lifestyle changes can help lower the risk of developing diabetes. The National Diabetes Prevention Program (National DPP) is an evidence-based program recognized by the Centers for Disease Control and Prevention; it is designed to reduce diabetes risk through intensive group counseling in nutrition, physical activity, and behavioral management. Factors known to influence this program's implementation, especially in primary care settings, have included limited awareness of the program, lack of standard clinical processes to facilitate referrals, and limited reimbursement incentives to support program delivery. A framework or approach that can address these and other barriers of practice is needed.

Objective

We used Implementation Mapping, a systematic planning framework, to plan for the adoption, implementation, and maintenance of the National DPP in primary care clinics in the Greater Houston area. We followed the framework's five iterative tasks to develop strategies that helped to increase awareness and adoption of the National DPP and facilitate program implementation.

Methods

We conducted a needs assessment survey and interviews with participating clinics. We identified clinic personnel who were responsible for program use, including adopters, implementers, maintainers, and potential facilitators and barriers to program implementation. The performance objectives, or sub-behaviors necessary to achieve each clinic's goals, were identified for each stage of implementation. We used classic behavioral science theory and dissemination and implementation models and frameworks to identify the determinants of program adoption, implementation, and maintenance. Evidence- and theory-based methods were selected and operationalized into tailored strategies that were executed in the four participating clinic sites. Implementation outcomes are being measured by several different approaches. Electronic Health Records (EHR) will measure referral rates to the National DPP. Surveys will be used to assess the level of the clinic providers and staff's acceptability, appropriateness of use, feasibility, and usefulness of the National DPP, and aggregate biometric data will measure the level of the clinic's disease management of prediabetes and diabetes.

Results

Participating clinics included a Federally Qualified Health Center, a rural health center, and two private practices. Most personnel, including the leadership at the four clinic sites, were not aware of the National DPP. Steps for planning implementation strategies included the development of performance objectives (implementation actions) and identifying psychosocial and contextual implementation determinants. Implementation strategies included provider-to-provider education, electronic health record optimization, and the development of implementation protocols and materials (e.g., clinic project plan, policies).

Conclusion

The National DPP has been shown to help prevent or delay the development of diabetes among at-risk patients. Yet, there remain many challenges to program implementation. The Implementation Mapping framework helped to systematically identify implementation barriers and facilitators and to design strategies to address them. To further advance diabetes prevention, future program, and research efforts should examine and promote other strategies such as increased reimbursement or use of incentives and a better billing infrastructure to assist in the scale and spread of the National DPP across the U.S.

A network perspective on the ecology of gut microbiota and progression of type 2 diabetes: Linkages to keystone taxa in a Mexican cohort

Introduction

The human gut microbiota (GM) is a dynamic system which ecological interactions among the community members affect the host metabolism. Understanding the principles that rule the bidirectional communication between GM and its host, is one of the most valuable enterprise for uncovering how bacterial ecology influences the clinical variables in the host.

Methods

Here, we used SparCC to infer association networks in 16S rRNA gene amplicon data from the GM of a cohort of Mexican patients with type 2 diabetes (T2D) in different stages: NG (normoglycemic), IFG (impaired fasting glucose), IGT (impaired glucose tolerance), IFG + IGT (impaired fasting glucose plus impaired glucose tolerance), T2D and T2D treated (T2D with a 5-year ongoing treatment).

Results

By exploring the network topology from the different stages of T2D, we observed that, as the disease progress, the networks lose the association between bacteria. It suggests that the microbial community becomes highly sensitive to perturbations in individuals with T2D. With the purpose to identify those genera that guide this transition, we computationally found keystone taxa (driver nodes) and core genera for a Mexican T2D cohort. Altogether, we suggest a set of genera driving the progress of the T2D in a Mexican cohort, among them Ruminococcaceae NK4A214 group, Ruminococcaceae UCG-010, Ruminococcaceae UCG-002, Ruminococcaceae UCG-005, Alistipes, Anaerostipes, and Terrisporobacter.

Discussion

Based on a network approach, this study suggests a set of genera that can serve as a potential biomarker to distinguish the distinct degree of advances in T2D for a Mexican cohort of patients. Beyond limiting our conclusion to one population, we present a computational pipeline to link ecological networks and clinical stages in T2D, and desirable aim to advance in the field of precision medicine.

Diabetic Retinopathy among Patients with Prediabetes Attending the Outpatient Department of Ophthalmology in a Tertiary Eye Care Centre: A Descriptive Cross-sectional Study

INTRODUCTION

Diabetic retinopathy is a specific microvascular ocular complication associated with diabetes. However, retinopathy has also been reported in people with prediabetes. The study aimed to find out the prevalence of diabetic retinopathy among patients with prediabetes attending the outpatient Department of Ophthalmology in a tertiary eye care centre.

METHODS

A descriptive cross-sectional study was conducted among patients with prediabetes attending the outpatient Department of Ophthalmology in a tertiary eye care centre from 1 January 2022 and 30 April 2022. Ethical approval was obtained from the Ethical Review Board (Registration number: 594/2021 P). All patients had their eyes dilated and examined under the slit-lamp with a 90 D convex lens or indirect ophthalmoscopes with a 20 D lens to find retinopathy. All patients aged 40 to 79 years with intermediate hyperglycemia were included in the study. Convenience sampling was used. Point estimate and 95% Confidence Interval were calculated.

RESULTS

Among 141 patients with prediabetes, diabetic retinopathy was found in 8 (5.67%) (1.85-9.49, 95% Confidence Interval). Among which all patients 8 (5.67%) had mild non-proliferative diabetic retinopathy. Among patients with retinopathy, all 8 (5.67%) were obese, 3 (37.50%) were hypertensive, 5 (62.50%) patients had intermediate hyperglycemia for more than 6 months, and 2 (25%) had a family history of diabetes mellitus.

CONCLUSIONS

The prevalence of diabetic retinopathy in prediabetes patient was found to be higher than the other studies conducted in similar settings.

KEYWORDS

diabetic retinopathy; prediabetes; prevalence.

[Factors associated with dissatisfaction with pharmacological treatment in patients with type 2 diabetes mellitus: A cross-sectional study]

BACKGROUND AND OBJECTIVES

Diabetes is a chronic disease with a high impact on both health and Quality of Life Related to Health (QLRH). To evaluate the satisfaction of treatment in patients with type 2 diabetes mellitus through the Diabetes Treatment Satisfaction Questionnaire (DTSQ) and its relationship with sociodemographic variables, with antidiabetic medication and clinical-analytical variables.

MATERIALS AND METHODS

This cross-sectional study was conducted in General University Hospital of San Juan de Alicante between September 2016 and December 2017. Two hundred thirty-two patients diagnosed with type 2 diabetes mellitus at least 1 year before inclusion, treated with antidiabetic medication were included. The Spanish version of the DTSQ scale was used to measure satisfaction with treatment. Factors associated with low satisfaction were analyzed by applying the Chi-square test for qualitative variables and Student-T for quantitative variables. To estimate magnitudes of association, logistic models were adjusted.

RESULTS

Two hundred thirty-two patients were included in this study. 21.5% of the patients presented low satisfaction with the treatment. Patients who presented low satisfaction with treatment were associated with medications that could cause hypoglycemia (OR: 2.872 [1.195-6.903]), HbA1c levels higher than 7% (OR: 2.260 [1.005-5.083]) and drugs administered by the route oral (OR: 2.749 [1.233-6.131]).

CONCLUSIONS

Patients with type 2 diabetes mellitus who had a lower score on the DTSQ questionnaire were associated with medications that produced hypoglycaemia, and with higher levels of HbA1c higher than 7%, and those who took oral medication.

Knowledge, attitude, and practice toward pre-diabetes among the public, patients with pre-diabetes and healthcare professionals: a systematic review

The prevalence of pre-diabetes is increasing globally, affecting an estimated 552 million people by 2030. While lifestyle interventions are the first line of defense against progression toward diabetes, information on barriers toward pre-diabetes management and how to overcome these barriers are scarce. This systematic review describes the publics' and healthcare professionals' knowledge, attitude and practice (KAP) toward pre-diabetes and determines the barriers toward pre-diabetes management. A systematic search for studies examining KAP towards pre-diabetes was conducted in six databases from inception to September 2022. Studies that quantitatively assessed at least two KAP elements using questionnaires were included. The quality of studies was assessed using the NIH Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Barriers and enablers were identified and mapped onto the Capability, Motivation, and Behaviour model to identify factors that influence behavior change. Twenty-one articles that surveyed 8876 participants were included in this review. Most of the reviews (n=13) were directed to healthcare professionals. Overall, positive attitudes toward diabetes prevention efforts were observed, although there were still knowledge deficits and poor behavior toward pre-diabetes management. Barriers and enablers were detected at patients (eg, goals and intention), healthcare professionals (eg, clinical judgement) and system (eg, access and resources) levels. The use of different survey instruments to assess KAP prevented a head-to-head comparison between studies. Most studies conducted among patients were from middle-income countries, while among healthcare professionals (HCPs) were from high-income countries, which may produce some biasness. Nevertheless, the development of pre-diabetes intervention should focus on: (1) increasing knowledge on pre-diabetes and its management; (2) imparting practical skills to manage pre-diabetes; (3) providing resources for lifestyle management; (4) improving the accessibility of lifestyle management programs; and (5) other HCPs and human support to pre-diabetes management.

Determinants of Treatment Adherence and Health Outcomes in Patients With Type 2 Diabetes and Hypertension in a Low-Income Urban Agglomerate in Delhi, India: A Qualitative Study

Background Diabetes and hypertension (HTN) are increasing threats to global public health. Despite evidence of effective management of diabetes and HTN by medications that help in the prevention and reducing mortality of the disease, a large proportion of people either remain undiagnosed or untreated, especially in low-resource countries. This study was conducted to explore the patient treatment pathway and their health-seeking behavior in a low-income urban area. Methodology We conducted 45 in-depth interviews of adult patients affected by type 2 diabetes mellitus (DM) and/or HTN on treatment for at least two years and attended the weekly clinic catering to an urban resettlement colony in the Northeast district of Delhi. Interviews were conducted and transcribed into Hindi and translated into English. Data analysis was done using Microsoft Excel. The patient treatment pathways were mapped, and their health-seeking behavior, treatment adherence, and experiences were described. Results Most patients reported taking treatment from the government primary health facilities due to optimal healthcare accessibility as the prescribed drugs for DM/HTN control were available free of cost at these healthcare facilities. Those who visited private facilities thought of shorter waiting times and the quality of drugs. Patients also had little knowledge of complications of diabetes and hypertensive disorders. Nearly 25% of patients had poor adherence to the medications, and lifestyle modification was rarely practiced by patients although they were aware of the same. Conclusions Expanding the role of community health workers or volunteers in providing information on noncommunicable diseases might help improve patient treatment pathways to care.

Lifestyle intervention reduces risk score for cardiovascular mortality in company employees with pre-diabetes or diabetes mellitus - A secondary analysis of the PreFord randomized controlled trial with 3 years of follow-up

AIM

To evaluate the effects of a multimodal intervention (including exercise training, psychosocial interventions, nutrition coaching, smoking cessation program, medical care) on the health and long-term cardiovascular disease (CVD) mortality risk of company employees with pre-diabetes or diabetes mellitus (DM) at high CVD risk.

METHODS

In the PreFord study, German company employees (n=4196) participated in a free-of-charge CVD mortality risk screening at their workplace. Based on their European Society of Cardiology - Systematic Coronary Risk Evaluation score (ESC-SCORE), they were subdivided into three risk groups. High-risk patients (ESC-SCORE≥5%) were randomly assigned to a 15-week lifestyle intervention or usual care control group. Data from patients with pre-DM/DM were analyzed intention-to-treat (ITT: n=110 versus n=96) and per protocol (PP: n=60 versus n=52).

RESULTS

Body mass index, glycated hemoglobin, total cholesterol, low-density lipoprotein, triglyceride levels as well as systolic and diastolic blood pressure improved through the intervention (ITT, PP: p<0.001). The ESC-SCORE markedly decreased from pre- to post-intervention (ITT, PP: p<0.001). ESC-SCORE changes from baseline differed significantly between the groups, with the intervention group achieving more favorable results in all follow-up visits 6, 12, 24 and 36 months later (at each time point: ITT: p<0.001; PP: p ≤ 0.010).

CONCLUSION

The study demonstrates the feasibility of attracting employees with pre-DM/DM at high CVD mortality risk to participate in a multimodal lifestyle program following a free CVD mortality risk screening at their workplace. The lifestyle intervention used in the PreFord study shows high potential for improving health of company employees with pre-DM/DM in the long term. ISRCTN23536103.

Development and application of a novel model to predict the risk of non-alcoholic fatty liver disease among lean pre-diabetics with normal blood lipid levels

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) has been associated with type 2 diabetes, but its relationship with pre-diabetes is still unknown. This study aims to determine whether pre-diabetes is associated with NAFLD, followed by establishing a NAFLD predictive nomogram for lean Chinese pre-diabetics with normal blood lipids.

METHODS

Datasets from 3 previous studies, 1 (2774 pre-diabetics with normal blood lipids for training, 925 for validation), 2 (546 for longitudinal internal validation, post-5-year follow-up), and 3 (501 from another institution for external validation), were used. Kaplan-Meier determined cumulative NAFLD hazard, and least absolute shrinkage and selection operator regression analysis uncovered its risk factors. Multivariate logistic regression analysis constructed the nomogram, followed by validation with receiver operating characteristic curve, calibration plot, and decision curve analyses.

RESULTS

NAFLD incidence increased with diabetes progression, and pre-diabetics had higher cumulative risk versus non-diabetics, even for lean individuals with normal blood lipids. Six risk factors were identified: body mass index, total cholesterol, alanine aminotransferase:aspartate aminotransferase, triglyceride:high density lipoprotein cholesterol, fasting blood glucose and γ-glutamyl-transferase. The nomogram yielded areas under the curve of 0.808, 0.785, 0.796 and 0.832, for respectively, training, validation, longitudinal internal validation, and external validation, which, along with calibration curve values of p = 0.794, 0.875, 0.854 and 0.810 for those 4 datasets and decision curve analyses, validated its clinical utility.

CONCLUSIONS

Lean pre-diabetic Chinese with normal blood lipids have higher NAFLD risk versus non-diabetics. The nomogram is able to predict NAFLD among such individuals, with high discrimination, enabling its use for early detection and intervention.

Effects of green tea polyphenol extract and epigallocatechin-3-O-gallate on diabetes mellitus and diabetic complications: Recent advances

Diabetes mellitus is one of the major non-communicable diseases accounting for millions of death annually and increasing economic burden. Hyperglycemic condition in diabetes creates oxidative stress that plays a pivotal role in developing diabetes complications affecting multiple organs such as the heart, liver, kidney, retina, and brain. Green tea from the plant Camellia sinensis is a common beverage popular in many countries for its health benefits. Green tea extract (GTE) is rich in many biologically active compounds, e.g., epigallocatechin-3-O-gallate (EGCG), which acts as a potent antioxidant. Recently, several lines of evidence have shown the promising results of GTE and EGCG for diabetes management. Here, we have critically reviewed the effects of GTE and EGCC on diabetes in animal models and clinical studies. The concerns and challenges regarding the clinical use of GTE and EGCG against diabetes are also briefly discussed. Numerous beneficial effects of green tea and its catechins, particularly EGCG, make this natural product an attractive pharmacological agent that can be further developed to treat diabetes and its complications.

Prevalence and correlates of pre-diabetes in adults of mixed ethnicities in the South African population: A systematic review and meta-analysis

INTRODUCTION

Pre-diabetes is a metabolic condition characterised by moderate glycaemic dysregulation and is a frontline risk factor for multiple metabolic complications such as type 2 diabetes mellitus. To the best of our knowledge, this will be the first systematic review and meta-analysis focusing on generating a comprehensive pooling of studies reporting on pre-diabetes prevalence in South Africa. Therefore, the review's purpose will be to screen and select reports that can be used to synthesise and provide the best estimate prevalence of pre-diabetes and its associated correlates in the South African population.

METHODS AND ANALYSIS

To determine the prevalence and correlates of pre-diabetes in South Africa, we searched PubMed, Web of Science, Google scholar and African Journal online for published or unpublished studies reporting the prevalence of pre-diabetes in South Africa starting from the year 2000 to 2020. Studies were assessed for eligibility by checking if they met the inclusion criteria.

RESULTS & CONCLUSION

The total number of studies deemed eligible is 13 and from these studies, an overall prevalence of pre-diabetes was reported to be 15,56% in the South African population. Hypertension, obesity and sedentary lifestyle were the common correlates recorded for the population of interest. Therefore, the review highlights the disturbingly high prevalence of pre-diabetes in South Africa and necessitates further investigations into the possible genetics, biochemical and hormonal changes in pre-diabetes.

ETHICS AND DISSEMINATION

The review will not require ethics clearance because non-identifiable data will be used. The review outcomes will give insight into the current burden that pre-diabetes has in South Africa.

PROSPERO REGISTRATION NUMBER

CRD42020182430.

Effect of a 6-month yoga intervention on heart rate variability among pre-diabetics

OBJECTIVES

Pre-diabetes represents the initial stage of type 2 diabetic disease. This study aimed to highlight the importance of the 6-month integrated approach of yoga therapy (IAYT) on the time domain and frequency domain of heart rate variability (HRV) in pre-diabetic subjects.

METHOD

The study was conducted on 250 pre-diabetic adults aged 30-50 years attending a tertiary care hospital. The patients were divided into two groups: The study group (n = 125) was subjected to the IAYT and the control group (n = 125) was not engaged in yoga therapy. Biochemical parameters such as blood glucose, glycated hemoglobin, and the time domain and frequency domain of HRV were recorded at baseline and after 6 months of yoga intervention.

RESULTS

Participants had a mean age of 45.4 ± 6.4 years, the post-yoga intervention resulted in a significant decline in blood glucose, glycated hemoglobin, and significantly decreased frequency domain parameters low frequency (LF), and LF/high-frequency ratio (LF/HF ratio), and significantly increased in high frequency (HF) and in time-domain parameter standard deviation of normal-normal (NN) interval, mean percentage of differences higher than 50 ms in RR intervals (pRR50), and root mean square of successive differences between normal heartbeat (RMSSD). The number of pairs of successive NN (R-R) intervals that differ by more than 50 ms (NN50) significantly increased.

CONCLUSION

The study clearly indicates that after 6 months of yoga intervention, autonomic nervous system shifted toward parasympathetic dominance, which was assessed by time domain and frequency domain parameters of HRV.

Alteration in topological organization characteristics of gray matter covariance networks in patients with prediabetes

OBJECTIVES

Prediabetes is associated with an increased risk of cognitive impairment and neurodegenerative diseases. However, the exact mechanism of prediabetes-related brain diseases has not been fully elucidated. The brain structure of patients with prediabetes has been damaged to varying degrees, and these changes may affect the topological characteristics of large-scale brain networks. The structural covariance of connected gray matter has been demonstrated valuable in inferring large-scale structural brain networks. The alterations of gray matter structural covariance networks in prediabetes remain unclear. This study aims to examine the topological features and robustness of gray matter structural covariance networks in prediabetes.

METHODS

A total of 48 subjects were enrolled in this study, including 23 patients with prediabetes (the PD group) and 25 age-and sex-matched healthy controls (the Ctr group). All subjects' high-resolution 3D T1 images of the brain were collected by a 3.0 Tesla MR machine. Mini-mental state examination was used to evaluate the cognitive status of each subject. We calculated the gray matter volume of 116 brain regions with automated anatomical labeling (AAL) template, and constructed gray matter structural covariance networks by thresholding interregional structural correlation matrices as well as graph theoretical analysis. The area under the curve (AUC) in conjunction with permutation testing was employed for testing the differences in network measures, which included small world parameter (Sigma), normalized clustering coefficient (Gamma), normalized path length (Lambda), global efficiency, characteristic path length, local efficiency, mean clustering coefficient, and network robustness parameters.

RESULTS

The network in both groups followed small-world characteristics, showing that Sigma was greater than 1, the Lambda was much higher than 1, and Gamma was close to 1. Compared with the Ctr group, the network of the PD group showed increased Sigma, Lambda, and Gamma across a range of network sparsity. The Gamma of the PD group was significantly higher than that in the Ctr group in the network sparsity range of 0.12-0.16, but there was no difference between the 2 groups (all P>0.05). The grey matter network showed an increased characteristic path length and a decreased global efficiency in the PD group, but AUC analysis showed that there was no significant difference between groups (all P>0.05). For the network separation measures, the local efficiency and mean clustering coefficient of the gray matter network in the PD group were significantly increased and AUC analysis also confirmed it (P=0.001 and P=0.004, respectively). In addition, network robustness analysis showed that the grey matter network of the PD group was more vulnerable to random damage (P=0.001).

CONCLUSIONS

The prediabetic gray matter network shows an increased average clustering coefficient and local efficiency, and is more vulnerable to random damage than the healthy control, suggesting that the topological characteristics of the prediabetes grey matter covariant network have changed (network separation enhanced and network robustness reduced), which may provide new insights into the brain damage relevant to the disease.

The Progression of Prediabetes to Type 2 Diabetes in Children and Adolescents in the United States: Current Challenges and Solutions

Prediabetes, the precursor of type 2 diabetes (T2D), is on the rise among children and adolescents in the United States. The natural history of prediabetes is poorly characterized in children compared to adults. The available data indicate a phenotype of an accelerated β-cell failure in youth with prediabetes. Data from randomized controlled trials showed no benefit on β-cell preservation or A1c in youth with prediabetes from therapeutic agents such as metformin and insulin. As a result, the American Diabetes Association recommends only lifestyle intervention, but not therapeutic agents, for the management of prediabetes in children and adolescents. These recommendations for lifestyle modification in youth, largely derived from data in adults, lack the precision necessary for efficacy in youth. However, a recent 4-year real-world study on youth reported that adherence to nutrition visits was associated with a 4-fold reduction in the likelihood of progressing from prediabetes to T2D. The finding that this reversal is associated with reduced insulin resistance (IR) and not with decreased body weight is novel and provides the foundation for trialing investigational products that may protect β-cells and reduce IR and/or body weight. This study provides the much-needed foundation for further exploration of the impact of lifestyle modification in conjunction with other approaches for the reversal of prediabetes in youth. The systematization of the protocol for medical nutrition therapy for the reversal of prediabetes in youth will ensure optimal and consistent results from adherent patients. This communication provides updates on the pathobiology of prediabetes in youth and a clear direction for efficacious studies in the field.