Diabetes Among Non-Overweight Individuals: an Emerging Public Health Challenge

Positive Changes in Body Composition and Profiles of Individuals with Diabetes 3 Years Following Laparoscopic Sleeve Gastrectomy in Japanese Patients with Obesity

BACKGROUND AND OBJECTIVES

We analyzed the changes in obesity, glucose metabolism, and body composition over a 3-year period in Japanese patients with obesity following laparoscopic sleeve gastrectomy (LSG).

METHODS

Body weight, parameters related to diabetes such as glycated hemoglobin (HbA1c), and electrical impedance analysis were used to assess body composition in forty-eight Japanese patients with obesity before surgery and 6 months, 1 year, 2 years, and 3 years after LSG.

RESULTS

At 6 months, 1, 2, and 3 years post-LSG, there were significant reductions in body weight, body mass index, blood pressure, fasting plasma glucose, triglyceride, and HbA1c levels. Six months after LSG, fat mass (FM), muscle mass (MM), and %FM all showed a decrease compared to pre-treatment values (all p < 0.05). FM and %FM remained in a decreased state until 3 years had passed. In contrast, %MM increased at 6 months post-LSG and was maintained up to 3 years post-LSG (all p < 0.05). Furthermore, changes in FM and %FM were associated with changes in body weight and A1C. In contrast, change in %MM exhibited a negative correlation with body weight and A1C following LSG. Finally, multivariate regression analyses demonstrated that alterations in FM were independent factors affecting body weight in patients with obesity 3 years after LSG.

CONCLUSIONS

We observed improvements in FM, fasting plasma glucose, and HbA1c levels over a 3-year period in Japanese patients after LSG. The reduction in FM and maintenance of %MM after LSG were suggested as possible links between the effects of LSG on obesity and diabetes over 3 years.

Investigation of the risk factors associated with prediabetes in normal-weight Qatari adults: a cross-sectional study

Type 2 diabetes is one of the most prevalent chronic diseases in the world, and more people than ever before have impaired glucose tolereance, or prediabetes. Many patients with impaired glucose tolerance and undiagnosed diabetes do not know that their glucose metabolism system has been in a state of disorder. Every year, about 5-10% of prediabetics develop diabetes. One of the important achieving factors may be the increase in blood lipids. However, it is not clear whether triglyceride is associated with impaired glucose tolerance and prediabetes in the Qatari population. Therefore, we investigated the relationship between the first several clinical variables and prediabetes status in normal and overweight populations. We conducted a cross-sectional study using data from the Qatar Biobank program. The study included 5,996 participants who were adults over the age of 20. We collected information about participants' fasting blood glucose levels with other clinical measurements and used various machine learning models and logistic regression to study the association between the clinical measurements and prediabetes for normal and overobese weight groups. The use of several machine learning models showed that, after adjusting the potential confounding factors such as age and sex, Triglyceride has been demonstrated to be positively correlated with prediabetes, and there was a special population dependence phenomenon. Among them, nonobese people (p < 0.05). The effect value and 95% confidence interval and OR of triglyceride on prediabetes was 2.79 and (e0.78, e1.28), respectively.

Metabolically "extremely unhealthy" obese and non-obese people with diabetes and the risk of cardiovascular adverse events: the Silesia Diabetes - Heart Project

BACKGROUND

There is a growing burden of non-obese people with diabetes mellitus (DM). However, their cardiovascular risk (CV), especially in the presence of cardiovascular-kidney-metabolic (CKM) comorbidities is poorly characterised. The aim of this study was to analyse the risk of major CV adverse events in people with DM according to the presence of obesity and comorbidities (hypertension, chronic kidney disease, and dyslipidaemia).

METHODS

We analysed persons who were enrolled in the prospective Silesia Diabetes Heart Project (NCT05626413). Individuals were divided into 6 categories according to the presence of different clinical risk factors (obesity and CKM comorbidities): (i) Group 1: non-obese with 0 CKM comorbidities; (ii) Group 2: non-obese with 1-2 CKM comorbidities; (iii) Group 3: non-obese with 3 CKM comorbidities (non-obese "extremely unhealthy"); (iv) Group 4: obese with 0 CKM comorbidities; (v) Group 5: obese with 1-2 CKM comorbidities; and (vi) Group 6: obese with 3 CKM comorbidities (obese "extremely unhealthy"). The primary outcome was a composite of CV death, myocardial infarction (MI), new onset of heart failure (HF), and ischemic stroke.

RESULTS

2105 people with DM were included [median age 60 (IQR 45-70), 48.8% females]. Both Group 1 and Group 6 were associated with a higher risk of events of the primary composite outcome (aHR 4.50, 95% CI 1.20-16.88; and aHR 3.78, 95% CI 1.06-13.47, respectively). On interaction analysis, in "extremely unhealthy" persons the impact of CKM comorbidities in determining the risk of adverse events was consistent in obese and non-obese ones (Pint=0.824), but more pronounced in individuals aged < 65 years compared to older adults (Pint= 0.028).

CONCLUSION

Both non-obese and obese people with DM and 3 associated CKM comorbidities represent an "extremely unhealthy" phenotype which are at the highest risk of CV adverse events. These results highlight the importance of risk stratification of people with DM for risk factor management utilising an interdisciplinary approach.

The prevalence of gestational diabetes among underweight and normal weight women worldwide: a scoping review

Background

Gestational diabetes (GDM) affects nearly 15% of pregnancies worldwide and is increasing globally. While this growth is thought to be primarily from overweight and obesity, normal and underweight women are affected as well, particularly in low and middle-income countries. However, GDM in non-overweight women remains understudied. Thus, we examined the prevalence among normal and underweight women globally.

Methods

A comprehensive literature search was performed in Ovid MEDLINE, Ovid EMBASE, and The Cochrane Library. Studies retrieved were screened for eligibility against predefined inclusion/exclusion criteria. Prevalence of GDM among women with normal and underweight body mass index (BMI) was extracted, and average prevalence was calculated globally, by World Health Organization region, and by country. Pregnancy outcomes were described when available.

Results

A total of 145 studies were included. The average global prevalence of GDM among non-overweight women (BMI <25 kg/m2) was 7.3% and among underweight women (BMI <18.5 kg/m2) was 5.0%. GDM prevalence in non-overweight women was highest in Asia (average 12.1%) and lowest in the African region (0.7%). The countries with the highest prevalence were Vietnam (21.1%), Finland (19.8%), Poland (19.3%), Bangladesh (18.65%), and China (17.7%). The average global prevalence of large for gestational age infants (LGA) born to non-overweight women with GDM was 9.9%, which is lower than the average prevalence in the general population with GDM (14%).

Conclusion

GDM is more common than previously recognized in non-overweight women, particularly in Asia, but also in European countries. Non-overweight women with GDM had lower prevalence of LGA babies compared to prior reported prevalence in all women with GDM, though data on pregnancy outcomes was limited. These findings challenge guidelines that recommend restriction of weight gain for GDM management. Further research on the pathophysiology and complications of GDM in women who are not overweight should be urgently conducted to inform appropriate management guidelines and support optimal pregnancy outcomes.

Associations of adipose insulin resistance index with leg (gluteofemoral) fat (inverse) and serum alanine aminotransferase (positive) in young Japanese women

Aim

Associations of the adipose tissue insulin resistance index (AT-IR, a product of fasting insulin and free fatty acid) with body fat distribution and the ratio of alanine to aspartate aminotransferase (ALT/AST), a marker of hepatosteatosis, were examined in the context of the metabolic syndrome.

Methods

Legs, the trunk and body fat by DXA, blood pressure (BP) and blood chemistry were measured in 284 young Japanese female university students and 148 middle-aged biological mothers whose BMI averaged <23 kg/m2.

Results

Young women had higher leg fat/body fat and lower trunk fat/body fat ratio (both p < 0.001) compared with middle-aged women but AT-IR did not differ between the two groups. We had multivariable linear regression analysis for AT-IR as a dependent variable including leg fat/body fat ratio, trunk fat/body fat ratio, fasting glucose, triglyceride, HDL cholesterol and systolic BP as independent variables. Leg fat/body fat ratio, fasting glucose and triglyceride (p = 0.013, 0.009 and 0.016, respectively) emerged as determinants of AT-IR in young women. Trunk fat/body fat ratio and fasting glucose (p = 0.003 and 0.019, respectively) emerged in middle-aged women. In a model which included ALT/AST as an additional independent variable, ALT/AST (p = 0.016) was the fourth independent determinant in young women and the single determinant of AT-IR in middle-aged women (p < 0.001).

Conclusion

In young Japanese women, adipose tissue insulin resistance was associated with reduced leg fat, a subtle partial lipodystrophy-like phenotype associated with reduced adipose tissue expandability. It was associated with elevated trunk (abdominal) fat in middle-aged women and with ALT/AST, a marker of hepatosteatosis, in two groups of Japanese women, suggesting ectopic fat deposition associated with reduced adipose tissue expandability.

Revealing metabolic and biochemical variations via 1H NMR metabolomics in streptozotocin-nicotinamide-induced diabetic rats treated with metformin

The increasing prevalence of lean diabetes has prompted the generation of animal models that mimic metabolic disease in humans. This study aimed to determine the optimum streptozotocin-nicotinamide (STZ-NA) dosage ratio to elicit lean diabetic features in a rat model. It also used a proton nuclear magnetic resonance (1H NMR) urinary metabolomics approach to identify the metabolic effect of metformin treatment on this novel rat model. Three different STZ-NA dosage regimens (by body weight: Group A: 110 mg/kg NA and 45 mg/kg STZ; Group B: 180 mg/kg NA and 65 mg/kg STZ and Group C: 120 mg/kg NA and 60 mg/kg STZ) were administered to Sprague-Dawley rats along with oral metformin. Group A diabetic rats (A-DC) showed favorable serum biochemical analyses and a more positive response toward oral metformin administration relative to the other STZ-NA dosage ratio groups. Orthogonal partial least squares-discriminant analysis (OPLS-DA) revealed that glucose, citrate, pyruvate, hippurate, and methylnicotinamide differentiating the OPLS-DA of A-MTF rats (Group A diabetic rats treated with metformin) and A-DC model rats. Subsequent metabolic pathway analyses revealed that metformin treatment was associated with improvement in dysfunctions caused by STZ-NA induction, including carbohydrate metabolism, cofactor metabolism, and vitamin and amino acid metabolism. In conclusion, our results identify the best STZ-NA dosage ratio for a rat model to exhibit lean type 2 diabetic features with optimum sensitivity to metformin treatment. The data presented here could be informative to improve our understanding of non-obese diabetes in humans through the identification of possible activated metabolic pathways in the STZ-NA-induced diabetic rats model.

Modifiable Risk Factors for Prevention in Dupuytren Disease: A UK Biobank Case-Control Study

BACKGROUND

Dupuytren disease is associated with significant comorbidity and mortality, and it has no existing prevention strategies. It is unclear which modifiable risk factors are most amenable for prevention. This study aimed to determine the strength of modifiable risk factors for Dupuytren disease, and to investigate associations with other diseases.

METHODS

Using UK Biobank data, this case-control study analyzed the association between phenotypic variables and Dupuytren disease through multivariable logistic regression. Exposures assessed were age, sex, body mass index, waist-to-hip ratio, Townsend deprivation index, smoking status, alcohol intake, diabetes mellitus, hypertension, cancer, liver disease, respiratory disease, rheumatoid arthritis, epilepsy, psoriasis, and gout.

RESULTS

There were 4148 cases and 397,425 controls. Male sex (OR, 3.23; 95% CI, 2.90 to 3.60; P = 1.07 × 10 -100 ), increasing age (OR, 1.08; 95% CI, 1.07 to 1.08; P = 6.78 × 10 -167 ), material deprivation (OR, 1.01; 95% CI, 1.00 to 1.02; P = 0.0305), high-density lipoprotein cholesterol (OR, 1.76; 95% CI, 1.58 to 1.96; P = 3.35 × 10 -24 ), smoking exposure, and alcohol intake were all associated with increased odds of Dupuytren disease. With increasing obesity class, there was approximately 25% decreased odds (OR, 0.774; 95% CI, 0.734 to 0.816; P = 4.71 × 10 -21 ). Diabetes with microvascular or end-organ complications was associated with more than 2.5 times increased odds of Dupuytren disease (OR, 2.59; 95% CI, 1.92 to 3.44; P = 1.92 × 10 -10 ). Within this group, increasing hemoglobin A1c values by 10 mmol/mol, or 0.9%, increased the odds by 31% (OR, 1.31; 95% CI, 1.13 to 1.51; P = 2.19 × 10 -4 ).

CONCLUSION

Diabetes and poor glycemic control are major risk factors for Dupuytren disease, which present an opportunity for prevention.

CLINICAL QUESTION/LEVEL OF EVIDENCE

Risk, III.

Mean age and body mass index at type 2 diabetes diagnosis: Pooled analysis of 56 health surveys across income groups and world regions

BACKGROUND

Screening for type 2 diabetes mellitus (T2DM) targets people aged 35+ years and those with overweight/obesity. With mounting evidence on young-onset T2DM and T2DM patients with lean phenotypes, it is worth revising the screening criteria to include younger and leaner adults. We quantified the mean age and body mass index (BMI; kg/m2 ) at T2DM diagnosis in 56 countries.

METHODS

Descriptive cross-sectional analysis of WHO STEPS surveys. We analysed adults (25-69 years) with new T2DM diagnosis (not necessarily T2DM onset) as per fasting plasma glucose ≥126 mg/dL measured during the survey. For people with new T2DM diagnosis, we summarized the mean age and the proportion of each five-year age group; also, we summarized the mean BMI and the proportion of mutually exclusive BMI categories.

RESULTS

There were 8695 new T2DM patients. Overall, the mean age at T2DM diagnosis was 45.1 years in men and 45.0 years in women; and the mean BMI at T2DM diagnosis was 25.2 in men and 26.9 in women. Overall, in men, 10.3% were 25-29 years and 8.5% were 30-34 years old; in women, 8.6% and 12.5% were 25-29 years and 30-34 years old, respectively. 48.5% of men and 37.3% of women were in the normal BMI category.

CONCLUSIONS

A non-negligible proportion of new T2DM patients were younger than 35 years. Many new T2DM patients were in the normal weight range. Guidelines for T2DM screening may consider revising the age and BMI criteria to incorporate young and lean adults.

Influence of Body Mass Index on the Prognostic Value of N-Terminal Pro-B-Type Natriuretic Peptide Level in Chinese Patients with Heart Failure

N-terminal pro-B-type natriuretic peptide (NT-proBNP) is an essential biomarker for the prediction of heart failure (HF), but its prognostic ability across body mass index (BMI) categories needs to be clarified. Our study aimed to explore the association between BMI and NT-proBNP and assess the effect of BMI on the prognostic ability of NT-proBNP in Chinese patients with HF. We retrospectively analyzed clinical data from the FuWai Hospital HF Center in Beijing, China. According to the Chinese adult BMI standard, 1,508 patients with HF were classified into four groups: underweight (BMI < 18.5 kg/m2), normal weight (BMI 18.5-23.9 kg/m2, as a reference category), overweight (BMI 24-27.9 kg/m2), and obesity (BMI ≥ 28 kg/m2). NT-proBNP was examined for its prognostic role in adverse events as an endpoint. BMI was independently and negatively associated with NT-proBNP (β = -0.074; P < 0.001), and NT-proBNP levels tended to decrease as BMI increased across the different BMI categories. The results of our study differ from those of other studies of European-American populations. In this study, NT-proBNP was a weak predictor of a 4-year adverse prognosis in underweight patients (BMI < 18.5 kg/m2). In other BMI categories, NT-proBNP was an independent predictor of adverse events in HF. BMI and sex significantly affected the optimal threshold for NT-proBNP to predict the risk of adverse events. There is a negative correlation between BMI and NT-proBNP, and NT-proBNP independently predicts adverse HF events in patients with a BMI of ≥ 18.5 kg/m2. The optimal risk prediction cutoffs are lower in patients who are overweight and obese.

Insulin resistance levels predicted metabolic improvement and weight loss after metabolic surgery in Chinese patients with type 2 diabetes

BACKGROUND

The causes for failure of metabolic improvement and inadequate weight loss after metabolic surgery (MS) in Chinese patients with type 2 diabetes (T2D) have not been fully elucidated. The effect of insulin resistance (IR) on the outcome of T2D, hypertension, hyperlipidemia, and obesity after MS in Chinese patients with T2D and a body mass index (BMI) of 25-32.5 kg/m2 warrants further study.

OBJECTIVES

Patients with T2D and a BMI of 25-32.5 kg/m2 who underwent MS between July 2019 and June 2021 were included.

SETTING

University hospital, China.

METHODS

IR levels were evaluated with the glucose disposal rate (GDR). Improvement of T2D, hypertension, and hyperlipidemia was assessed with the composite triple endpoint (CTEP), and weight loss was assessed with the percent of total weight loss (%TWL). Partial correlation analysis, binary logistic regression analysis, multiple linear regression analysis, receiver operating characteristic curve (ROC) analysis, and subgroup analysis were used to analyze the relationship between the CTEP, %TWL at 1 year postoperative, and GDR preoperative.

RESULTS

This study analyzed the data of 51 patients with T2D and a BMI of 25-32.5 kg/m2 (30 men and 21 women) with a mean preoperative GDR of 3.72 ± 1.48 mg/kg/min. Partial correlation coefficients between CTEP, %TWL, and GDR were .303 (P = .041) and .449 (P = .001), respectively. The preoperative GDR was significantly positively correlated with CTEP (OR = 1.610, P = .024) and %TWL (β = 1.38, P = .003). The preoperative GDR predicted cutoff values of 4.36 and 5.35 mg/kg/min for CTEP attainment and %TWL ≥ 20%, respectively.

CONCLUSION

IR levels predicted metabolic improvement and weight loss 1 year after MS in Chinese patients with T2D and a BMI of 25-32.5 kg/m2.

Trajectories of fasting glucose and glycated haemoglobin in obese and non-obese incident diabetes: Results from two large cohort studies

AIMS

Diabetes development mechanisms vary by weight status. We aimed to compare cardiometabolic risk and characterize fasting plasma glucose (FPG) and glycated haemoglobin (HbA1c) trajectories before diagnosing type 2 diabetes in individuals with/without obesity.

METHODS

Data from the China Health and Retirement Longitudinal Study (CHARLS) and English Longitudinal Study of Ageing (ELSA) were analysed. Participants without diabetes and with a body mass index of 18.5-40 kg/m2 at baseline were included. Incident diabetes was ascertained by self-reported physician diagnosis and/or antidiabetic drug use, FPG ≥126 mg/dl and/or HbA1c ≥6.5%. The difference in the FPG/HbA1c trajectory before the diabetes diagnosis in participants with/without obesity was examined using mixed-effects models.

RESULTS

Among 11 925 eligible participants, 1361 incident diabetes cases (mean age: 61.4 years; male: 46.2%) were identified within 15 years of follow-up. Obese diabetes showed higher levels of diastolic blood pressure and C-reactive protein at diagnosis than non-obese diabetes. Mixed-effects models indicated the difference in the FPG trajectory before diagnosis by weight status was non-significant with a slope difference of 0.149 mg/dl (SE = 0.642, p = .816, CHARLS) and 0.013 mg/dl (SE = 0.013, p = .337, ELSA). However, obese diabetes showed a steep increase in HbA1c before diagnosis with a slope difference of 0.036% (SE = 0.016, p = .021) in the CHARLS and 0.032% (SE = 0.014, p = .027) in the ELSA, respectively. Sex-stratified analyses showed that the difference in HbA1c trajectory before the diabetes diagnosis by weight status was only significant in males.

CONCLUSIONS

Obese and non-obese diabetes developments may share a similar FPG but distinct HbA1c trajectory. Obese diabetes interventions require more attention to cardiometabolic risks. Moreover, studies addressing weight/sex-related differences in diabetes aetiologies and treatments are warranted.

Incidence and temporal trends in type 2 diabetes by weight status: A systematic review and meta-analysis of prospective cohort studies

Background

Diabetes is more prevalent among overweight/obese individuals, but has become a significant public health challenge among normal weight populations. In this meta-analysis, we aimed to estimate diabetes/prediabetes incidence and its temporal trends by weight status.

Methods

PubMed, Embase, Web of Science, and Cochrane Library were searched until 8 December 2021. Prospective cohort studies reporting diabetes incidence by baseline body mass index (BMI) categories in adults were included. The median year of data collection was used to assess the temporal trends. Subgroup analyses and meta-regression were also performed.

Results

We included 94 studies involving 3.4 million adults from 22 countries. The pooled diabetes incidence in underweight, normal-weight, and overweight/obese adults was 4.5 (95% confidence interval (CI) = 2.8-7.3), 2.7 (95% CI = 2.2-3.3), and 10.5 (95% CI = 9.3-11.8) per 1000 person-years, respectively. The diabetes incidence in low- and middle-income countries (LMICs) was higher than in high-income countries among normal-weight (5.8 vs 2.0 per 1000 person-years) or overweight/obese (15.9 vs 8.9 per 1000 person-years) adults. European and American regions had a higher diabetes incidence than the non-Western areas, regardless of weight status. Underweight diabetes incidence decreased significantly from 1995-2000 to 2005-2010. Diabetes incidence in normal-weight populations has increased continuously since 1985 by an estimated 36% every five years. In overweight/obese adults, diabetes incidence increased between 1985-1990 and 1995-2000, stabilised between 2000 and 2010, and spiked suddenly after 2010.

Conclusions

Diabetes incidence and its temporal trends differed by weight status. The continuous upward trend of diabetes incidence among overweight/obese individuals requires urgent attention, particularly in LMICs. Furthermore, diabetes among normal-weight individuals is becoming a significant public health problem.

Registration

PROSPERO (CRD42020215957).

Association between estimated pulse wave velocity and risk of diabetes: A large sample size cohort study

BACKGROUND AND AIM

Estimated pulse wave velocity (ePWV) measurements have good agreement with PWV measurements. However, the relationship between ePWV and the risk of new-onset diabetes remains unclear. Therefore, this study aimed to investigate whether ePWV was associated with new-onset diabetes.

METHODS AND RESULTS

Based on a secondary analysis of the Chinese Rich Health Care Group's cohort study, 211,809 participants who met the criteria were enrolled and divided into four groups based on the ePWV quartiles. Diabetes events are of interest as a result of the study. Over a mean follow-up of 3.12 years, 3000 male (1.41%) and 1173 female (0.55%) patients were diagnosed with new-onset diabetes. The cumulative incidence curves based on quartile subgroups showed that the Q4 group had a significantly higher overall incidence of diabetes than the other subgroups. A multivariate Cox regression analysis showed that ePWV was an independent predictor of new-onset diabetes (hazard ratio, 1.233; 95% confidence interval, 1.198-1.269; P < 0.001). The receiver operating characteristic curve showed that the predictive value was higher than for age and blood pressure. The ePWV was treated as a continuous variable using MaxStat, which identified that the best cut-off point for diabetes risk was 8.47 m/s. A stratified analysis showed that the association between ePWV and the risk of diabetes remained significant in multiple strata.

CONCLUSIONS

An elevated ePWV was independently associated with an increased risk of developing diabetes in Chinese adults. Thus, ePWV may be a reliable indicator of the risk of early diabetes.

Disparities in diabetes prevalence and management by race and ethnicity in the USA: defining a path forward

Type 2 diabetes disparities in the USA persist in both the prevalence of disease and diabetes-related complications. We conducted a literature review related to diabetes prevention, management, and complications across racial and ethnic groups in the USA. The objective of this review is to summarise the current understanding of diabetes disparities by examining differences between and within racial and ethnic groups and among young people (aged <18 years). We also examine the pathophysiology of diabetes as it relates to race and ethnic differences. We use a conceptual framework built on the socioecological model to categorise the causes of diabetes disparities across the lifespan looking at factors in five domains of health behaviours and social norms, public awareness, structural racism, economic development, and access to high-quality care. The range of disparities in diabetes prevalence and management in the USA calls for a community-engaged and multidisciplinary approach that must involve community partners, researchers, practitioners, health system administrators, and policy makers. We offer recommendations for each of these groups to help to promote equity in diabetes prevention and care in the USA.

Top 10 public health challenges to track in 2023: Shifting focus beyond a global pandemic

The year 2022 saw COVID‐19 as the primary public health concern, with vaccine rollout and mandates at the forefront. Other viral infectious diseases, such as Monkeypox and Ebola, emerged as public health concerns. Climate change and political conflicts significantly impacted global health, increasing the demand for humanitarian assistance and protection. In 2023, it remains crucial to identify global and public health priority areas to coordinate and implement effective solutions. Through discussions with public health practitioners and researchers, we have identified key priority areas for 2023, namely, health systems, the mental health crisis, substance abuse, infectious diseases, malnutrition and food insecurity, sexual and reproductive health challenges, environmental pollution, the climate crisis, cancer, and diabetes. These priority areas highlight shared concerns that should be addressed to facilitate proactive and innovative health interventions and practices. To achieve universal healthcare targets for 2030, prioritization, financial investment, international cooperation, and collaboration in addressing these global health challenges are crucial. This requires coordination among public health decision‐makers, the private health sector, and opinion leaders to implement country‐specific healthcare financing and food security measures. Research, scientific knowledge, and technical capacities must be leveraged to produce sustainable interventions that effectively reduce health disparities and improve health system responsiveness to prevent these challenges from progressing to public health emergencies.

Association between serum leptin concentrations and homeostasis model assessment-insulin resistance of 2.5 and higher in normal weight Japanese women

Normal weight insulin resistant phenotype was characterized in 251 Japanese female university students using homeostasis model assessment-insulin resistance. Birth weight, body composition at age 20, cardiometabolic traits and dietary intake were compared cross-sectionally between insulin sensitive (< 1.6, n = 194) and insulin resistant (2.5 and higher, n = 16) women. BMI averaged < 21 kg/m² and waist < 72 cm and did not differ between two groups. The percentage of macrosomia and serum absolute and fat-mass corrected leptin concentrations were higher in insulin resistant women although there was no difference in birth weight, fat mass index, trunk/leg fat ratio and serum adiponectin. In addition, resting pulse rate, serum concentrations of free fatty acids, triglycerides and remnant-like particle cholesterol were higher in insulin resistant women although HDL cholesterol and blood pressure did not differ. In multivariate logistic regression analyses, serum leptin (odds ratio:1.68, 95% confidential interval:1.08-2.63, p = 0.02) was associated with normal weight insulin resistance independently of macrosomia, free fatty acids, triglycerides, remnant-like particle cholesterol and resting pulse rate. In conclusion, normal weight IR phenotype may be associated with increased plasma leptin concentrations and leptin to fat mass ratio in young Japanese women, suggesting higher leptin production by body fat unit.

Trends in the Prevalence of Lean Diabetes Among U.S. Adults, 2015-2020

OBJECTIVE

To examine trends and prevalence of lean diabetes among adults in the U.S. from 2015 to 2020, overall and stratified by age, sex, and race/ethnicity.

RESEARCH DESIGN AND METHODS

An exploratory study design evaluated the prevalence and trends of lean diabetes among 2,630,463 (unweighted) adults aged ≥18 years who responded to the Behavioral Risk Factor Surveillance System (BRFSS), years 2015 to 2020.

RESULTS

Diabetes increased significantly among lean adults with BMI of <25 kg/m2 from 4.5% (95% CI 4.3-4.7) in 2015 to 5.3% (95% CI 5.0-5.7) in 2020, representing a 17.8% increase (odds ratio 1.21; 95% CI 1.12-1.31), with no significant change among overweight/obese adults. Increases in diabetes prevalence among lean adults varied by subgroup with Black, Hispanic, and female populations seeing the largest growth.

CONCLUSIONS

The prevalence of lean diabetes among the U.S. adult population is increasing, with larger increases among women and populations of color.

Pattern of macronutrients intake among type-2 diabetes mellitus (T2DM) patients in Malaysia

BACKGROUND

The incidence of type 2 diabetes mellitus (T2DM) is rising rapidly in Malaysia. Modifying dietary intake is key to both the prevention and treatment of T2DM. This study aims to investigate the pattern of macronutrient intake among T2DM patients in Malaysia.

METHODS

This study was carried out on adults aged between 35 and 70 years, residing in urban and rural Malaysian communities. A series of standardised questionnaires was used to assess the sociodemographic information, dietary intake and physical activity level of 15,353 respondents who provided informed consent to participate in this study. Blood sampling (finger prick test) and physical examination were performed to obtain blood glucose and anthropometric data, respectively. The Chi-square test was used to assess differences in the trends of macronutrient intake among T2DM patients.

RESULTS

The total number of participants diagnosed with T2DM in this study was 2254. Of these, 453 (20.1%) were newly diagnosed, 1156 (51.3%) were diagnosed for ≤5 years and 645 (28.6%) were diagnosed for > 5 years. Male patients show that there were significant differences among the three groups of T2DM according to the following variables: age, BMI, residency, participant comorbidity of hypertension, family history of T2DM and hypertension, and active smoker. Meanwhile, female patients show significant differences among the three groups of T2DM according to the following variables: age, BMI, marital status, education level, residency, participant comorbidity of hypertension and family history of T2DM. Most of the male patients consumed appropriate proportions of carbohydrate (458, 60.7%) and protein (618, 81.9%). However, female patients did not show any significant differences of the macronutrients intake among the three groups of T2DM patients.

CONCLUSIONS

The pattern of dietary intake among T2DM patients in this study showed consumption of carbohydrate and protein within the range of Malaysian RNI, coupled with high fat intake. Compliance with the Recommended Nutrient Intake (RNI) was satisfactory for both carbohydrate and protein but not for fat. The pattern indicated a preference for fat rather than protein when carbohydrate intake was restricted.

Sociodemographic and Diabetes-related Risk Factors in San Diego County, California

BACKGROUND

The research information would enable clinicians and public health professionals to formulate proper interventions for diabetic people according to age, gender, and race.

OBJECTIVE

The aim of the study was to investigate the relationship between diabetes-related mortality, hospitalization and emergency department discharge, and sociodemographic characteristics, in addition to age-standardized mortality rate analysis.

METHOD

A population-based cross-sectional descriptive study was carried out to determine the relationship between sociodemographic characteristics and diabetes-related risk factors of the San Diego County residents in 2018, including 49,283 individuals (27,366 males and 21,917 females).

RESULTS

The outcomes were found to be statistically significant. Hospitalization and emergency department discharges among males and females were statistically significant. The statistical differences between gender and mortality were not significant. The mortality was not significant in the male group, while it was statistically significant in the female group. The noted agestandardized mortality rate of diabetes stood at 85.8 deaths per 100,000 standard population.

CONCLUSION

This study found that mortality increases as people age, and 85% of deaths were found to be of people older than 65 years. The mortality was two times higher among white and Hispanic males than females. Findings from this study are important in understanding the sociodemographic characteristics at the county level, which can inform diabetes mortality prevention efforts.

Prevalence of prediabetes and diabetes vary by ethnicity among U.S. Asian adults at healthy weight, overweight, and obesity ranges: an electronic health record study

BACKGROUND

Asian adults develop Type 2 diabetes at a lower body mass index (BMI) compared to other racial/ethnic groups. We examined the variation in prevalence of prediabetes and diabetes among Asian ethnic groups within weight strata by comparing middle-aged Chinese, Filipino, South Asian, and White adults receiving care in the same integrated healthcare delivery system.

METHODS

Our retrospective cross-sectional U.S. study examined data from 283,110 (non-Hispanic) White, 33,263 Chinese, 38,766 Filipino, and 17,959 South Asian adults aged 45-64 years who were members of a Northern California health plan in 2016 and had measured height and weight. Prediabetes and diabetes were classified based on laboratory data, clinical diagnoses, or diabetes pharmacotherapy. Age-standardized prevalence of prediabetes and diabetes were compared by race/ethnicity within healthy weight, overweight, and obesity categories, using standard BMI thresholds for White adults (18.5 to < 25, 25 to < 30, ≥ 30 kg/m2) and lower BMI thresholds for Asian adults (18.5 to < 23, 23 to < 27.5, ≥ 27.5 kg/m2). Prevalence ratios (PRs) were used to compare the prevalence of diabetes and prediabetes for Asian groups to White adults in each weight category, adjusted for age and BMI.

RESULTS

Across all weight categories, diabetes prevalence was higher for Asian than White adults, and among Asian groups it was highest for Filipino and South Asian adults. Compared to White, PRs for South Asian men/women at healthy BMI were 1.8/2.8 for prediabetes and 5.9/8.0 for diabetes, respectively. The PRs for Filipino men/women at healthy BMI were 1.8/2.6 for prediabetes and 5.0/7.5 for diabetes, respectively. For Chinese men/women at healthy BMI, the PRs for prediabetes (2.1/2.9) were similar to Filipino and South Asian, but the PRs for diabetes were lower (2.1/3.4).

CONCLUSION

Chinese, Filipino, and South Asian adults have higher prevalence of prediabetes and diabetes than White adults in all weight categories, despite using lower BMI thresholds for weight classification in Asian groups. Within Asian ethnic groups, Filipino and South Asian adults had considerably higher diabetes prevalence than Chinese adults. Our data emphasize the disproportionate metabolic risk among middle-aged Asian adults and underscore the need for diabetes screening among high-risk Asian groups at healthy BMI levels.

Pathophysiology, phenotypes and management of type 2 diabetes mellitus in Indian and Chinese populations

Nearly half of all adults with type 2 diabetes mellitus (T2DM) live in India and China. These populations have an underlying predisposition to deficient insulin secretion, which has a key role in the pathogenesis of T2DM. Indian and Chinese people might be more susceptible to hepatic or skeletal muscle insulin resistance, respectively, than other populations, resulting in specific forms of insulin deficiency. Cluster-based phenotypic analyses demonstrate a higher frequency of severe insulin-deficient diabetes mellitus and younger ages at diagnosis, lower β-cell function, lower insulin resistance and lower BMI among Indian and Chinese people compared with European people. Individuals diagnosed earliest in life have the most aggressive course of disease and the highest risk of complications. These characteristics might contribute to distinctive responses to glucose-lowering medications. Incretin-based agents are particularly effective for lowering glucose levels in these populations; they enhance incretin-augmented insulin secretion and suppress glucagon secretion. Sodium-glucose cotransporter 2 inhibitors might also lower blood levels of glucose especially effectively among Asian people, while α-glucosidase inhibitors are better tolerated in east Asian populations versus other populations. Further research is needed to better characterize and address the pathophysiology and phenotypes of T2DM in Indian and Chinese populations, and to further develop individualized treatment strategies.

Identification and epidemiological characterization of Type-2 diabetes sub-population using an unsupervised machine learning approach

BACKGROUND

Studies on Type-2 Diabetes Mellitus (T2DM) have revealed heterogeneous sub-populations in terms of underlying pathologies. However, the identification of sub-populations in epidemiological datasets remains unexplored. We here focus on the detection of T2DM clusters in epidemiological data, specifically analysing the National Family Health Survey-4 (NFHS-4) dataset from India containing a wide spectrum of features, including medical history, dietary and addiction habits, socio-economic and lifestyle patterns of 10,125 T2DM patients.

METHODS

Epidemiological data provide challenges for analysis due to the diverse types of features in it. In this case, applying the state-of-the-art dimension reduction tool UMAP conventionally was found to be ineffective for the NFHS-4 dataset, which contains diverse feature types. We implemented a distributed clustering workflow combining different similarity measure settings of UMAP, for clustering continuous, ordinal and nominal features separately. We integrated the reduced dimensions from each feature-type-distributed clustering to obtain interpretable and unbiased clustering of the data.

RESULTS

Our analysis reveals four significant clusters, with two of them comprising mainly of non-obese T2DM patients. These non-obese clusters have lower mean age and majorly comprises of rural residents. Surprisingly, one of the obese clusters had 90% of the T2DM patients practising a non-vegetarian diet though they did not show an increased intake of plant-based protein-rich foods.

CONCLUSIONS

From a methodological perspective, we show that for diverse data types, frequent in epidemiological datasets, feature-type-distributed clustering using UMAP is effective as opposed to the conventional use of the UMAP algorithm. The application of UMAP-based clustering workflow for this type of dataset is novel in itself. Our findings demonstrate the presence of heterogeneity among Indian T2DM patients with regard to socio-demography and dietary patterns. From our analysis, we conclude that the existence of significant non-obese T2DM sub-populations characterized by younger age groups and economic disadvantage raises the need for different screening criteria for T2DM among rural Indian residents.

Associations of body shape index (ABSI) and hip index with liver, metabolic, and inflammatory biomarkers in the UK Biobank cohort

Associations of liver, metabolic, and inflammatory biomarkers in blood with body shape are unclear, because waist circumference (WC) and hip circumference (HC) are dependent on overall body size, resulting in bias. We have used the allometric "a body shape index" (ABSI = WC_(mm)[Formula: see text]Weight_(kg)^-2/3[Formula: see text]Height_(m)^5/6) and hip index (HI_women = HC_(cm)[Formula: see text]Weight_(kg)^-0.482[Formula: see text]Height_(cm)^0.310, HI_men = HC_(cm)[Formula: see text]Weight_(kg)^-2/5[Formula: see text]Height_(cm)^1/5), which are independent of body mass index (BMI) by design, in multivariable linear regression models for 121,879 UK Biobank men and 135,559 women. Glucose, glycated haemoglobin (HbA1c), triglycerides, low-density-lipoprotein cholesterol, apolipoprotein-B, alanine aminotransferase (ALT), gamma-glutamyltransferase, and lymphocytes were associated positively with BMI and ABSI but inversely with HI. High-density-lipoprotein cholesterol and apolipoprotein-A1 were associated inversely with BMI and ABSI but positively with HI. Lipid-related biomarkers and ALT were associated only with HI in obese men. C-reactive protein, neutrophils, monocytes, and alkaline phosphatase were associated positively, while bilirubin was associated inversely, with BMI and ABSI but not with HI. Associations were consistent within the clinical reference ranges but were lost or changed direction for low or high biomarker levels. Our study confirms associations with waist and hip size, independent of BMI, for metabolic biomarkers but only with waist size for inflammatory biomarkers, suggesting different contribution of the mechanistic pathways related to body shape.

Association of LDL:HDL ratio with prediabetes risk: a longitudinal observational study based on Chinese adults

Background

Low-density lipoprotein:high-density lipoprotein cholesterol ratio (LDL:HDL ratio) has a good performance in identifying diabetes mellitus (DM) and insulin resistance. However, it is not yet clear whether the LDL:HDL ratio is associated with a high-risk state of prediabetes.

Methods

This cohort study retrospectively analyzed the data of 100,309 Chinese adults with normoglycemia at baseline. The outcome event of interest was new-onset prediabetes. Using multivariate Cox regression and smoothing splines to assess the association of LDL:HDL ratio with prediabetes.

Results

During an average observation period of 37.4 months, 12,352 (12.31%) subjects were newly diagnosed with prediabetes. After adequate adjustment for important risk factors, the LDL:HDL ratio was positively correlated with the prediabetes risk, and the sensitivity analysis further suggested the robustness of the results. Additionally, in stratified analysis, we discovered significant interactions between LDL:HDL ratio and family history of DM, sex, body mass index and age (all P-interaction < 0.05); among them, the LDL:HDL ratio-related prediabetes risk decreased with the growth of body mass index and age, and increased significantly in women and people with a family history of DM.

Conclusions

The increased LDL:HDL ratio in the Chinese population indicates an increased risk of developing prediabetes, especially in women, those with a family history of DM, younger adults, and non-obese individuals.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12944-022-01655-5.

Determinants of metabolic syndrome and type 2 diabetes in the absence of obesity: The Jackson Heart Study

Context

Multiple studies suggest that adults who were normal weight at diabetes diagnosis are at higher risk for all-cause mortality than those who had overweight or obesity at diagnosis.

Objective

While obesity is a known risk factor for cardiometabolic disease, differences in body fat distribution in those without obesity are understudied, especially in African Americans.

Methods

In 1005 participants of the Jackson Heart Study, without cardiovascular disease at baseline, we used logistic regression to investigate the longitudinal association of body fat distribution by CT scan with metabolic syndrome (MetS) or type 2 diabetes (T2D). We used the harmonized International Diabetes Federation criteria to define MetS. We included only normal weight or overweight participants (BMI: 18.5 to < 30.0 kg/m²). We created separate models for MetS and T2D adjusted for a standard set of covariates. We excluded participants with prevalent MetS or T2D, respectively in sensitivity.

Results

Higher visceral fat, subcutaneous fat, BMI, and insulin resistance (HOMA-IR) were significantly associated with MetS and T2D after adjustment. Visceral fat was strongly associated with both outcomes (MetS OR = 2.07 [1.66-2.68]; T2D OR = 1.51 [1.21-1.88]), and the association for MetS persisted in the normal weight only group. Estimates were robust to sensitivity analysis and were only modestly mediated by insulin resistance. Physical activity was not associated with MetS or T2D.

Conclusion

Visceral fat is strongly associated with developing MetS, even in normal weight individuals, suggesting that excess visceral fat plays a role in cardiometabolic risk beyond that of overall adiposity and obesity in African Americans.

Distinct pathoclinical clusters among patients with uncontrolled type 2 diabetes: results from a prospective study in rural India

INTRODUCTION

Inadequate glycemic control among patients with type 2 diabetes mellitus (T2DM) poses an enormous challenge. Whether this uncontrolled T2DM population is a heterogenous mix of disease subtypes remains unknown. Identification of these subtypes would result in a customized T2DM management protocol thereby paving the way toward personalized therapy.

RESEARCH DESIGN AND METHODS

Electronic health records of 339 patients with uncontrolled T2DM patients followed up for a median period of 14 months were analyzed using Uniform Manifold Approximation and Projection followed by density-based spatial clustering of applications with noise. Baseline clinical features and final diagnoses with drug combinations were selected in the analysis. A 30 min oral glucose tolerance test was next performed for assessing the underlying insulin resistance and β cell dysfunction.

RESULTS

Three major clusters were identified. The first cluster characterized by recent onset T2DM had moderately preserved β cell function. The second cluster with a longer duration of T2DM and associated hypertension showed the best glycemic control with dual antidiabetic therapy. The third cluster with the longest history of T2DM and no history of hypertension had the worst glycemic control in spite of the highest percentage of patients on triple therapy (34.58%) and quadruple therapy (8.41%).

CONCLUSIONS

Uncontrolled T2DM comprises a heterogeneous population with respect to disease duration, presence of co-morbidities and β cell function without significant difference in insulin resistance. Stratifying them on the basis of pathoclinical features is the first step toward a personalized management in T2DM.

Risk factor-based screening compared to universal screening for gestational diabetes mellitus in marginalized Burman and Karen populations on the Thailand-Myanmar border: An observational cohort

Background: Gestational diabetes mellitus (GDM) contributes to maternal and neonatal morbidity. As data from marginalized populations remains scarce, this study compares risk-factor-based to universal GDM screening in a low resource setting. Methods: This is a secondary analysis of data from a prospective preterm birth cohort. Pregnant women were enrolled in the first trimester and completed a 75g oral glucose tolerance test (OGTT) at 24-32 weeks' gestation. To define GDM cases, Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO trial) criteria were used. All GDM positive cases were treated. Sensitivity and specificity of risk-factor-based selection for screening (criteria: age ≥30y, obesity (Body mass index (BMI) ≥27.5kg/m ²), previous GDM, 1 ^st degree relative with diabetes, previous macrosomia (≥4kg), previous stillbirth, or symphysis-fundal height ≥90th percentile) was compared to universal screening using the OGTT as the gold standard. Adverse maternal and neonatal outcomes were compared by GDM status. Results: GDM prevalence was 13.4% (50/374) (95% CI: 10.3-17.2). Three quarters of women had at least one risk factor (n=271 women), with 37/50 OGTT positive cases correctly identified: sensitivity 74.0% (59.7-85.4) and specificity 27.8% (3.0-33.0). Burman women (self-identified) accounted for 29.1% of the cohort population, but 38.0% of GDM cases. Percentiles for birthweight (p=0.004), head circumference (p=0.002), and weight-length ratio (p=0.030) were higher in newborns of GDM positive compared with non-GDM mothers. 21.7% (75/346) of newborns in the cohort were small-for-gestational age (≤10 ^th percentile). In Burman women, overweight/obese BMI was associated with a significantly increased adjusted odds ratio 5.03 (95% CI: 1.43-17.64) for GDM compared with normal weight, whereas in Karen women, the trend in association was similar but not significant (OR 2.36; 95% CI 0.95-5.89). Conclusions: Risk-factor-based screening missed one in four GDM positive women. Considering the benefits of early detection of GDM and the limited additional cost of universal screening, a two-step screening program was implemented.

Risk factor-based screening compared to universal screening for gestational diabetes mellitus in marginalized Burman and Karen populations on the Thailand-Myanmar border: An observational cohort

Background: Gestational diabetes mellitus (GDM) contributes significantly to maternal and neonatal morbidity, but data from marginalized populations remains scarce. This study aims to compare risk-factor-based screening to universal testing for GDM among migrants along the Thailand-Myanmar border. Methods: From the prospective cohort (September 2016, February 2019), 374 healthy pregnant women completed a 75g oral glucose tolerance test (OGTT) at 24-32 weeks gestation. Fasting, one hour and two hour cut-offs were based on Hyperglycaemia and Adverse Pregnancy Outcomes (HAPO trial) criteria and cases were treated. The sensitivity and specificity of risk-factor-based screening criteria was calculated using OGTT as the gold standard. Risk factors included at least one positive finding among 10 criteria, e.g., obesity (body mass index (BMI) ≥27.5kg/m ²), 1 ^st degree relative with diabetes etc. Adverse maternal and neonatal outcomes were compared by GDM status, and risk factors for GDM were explored. Results: GDM prevalence was 13.4% (50/374) (95% CI: 10.3-17.2). Risk-factors alone correctly identified 74.0% (37/50) OGTT positive cases: sensitivity 74.0% (59.7-85.4) and specificity 27.8% (3.0-33.0). Burman women accounted for 29.1% of the cohort population, but 38.0% of GDM cases. Percentiles for birthweight (p=0.004), head circumference (p=0.005), and weight-length ratio (p=0.010) were higher in newborns of GDM mothers compared with non-GDM, yet 21.7% (75/346) of newborns in the cohort were small-for-gestational age. In Burman women, overweight/obese BMI was associated with a significantly increased adjusted odds ratio 5.03 (95% CI: 1.43-17.64) for GDM compared to normal weight, whereas underweight and overweight/obese in Karen women were both associated with similarly elevated adjusted odds, approximately 2.4-fold (non-significant) for GDM. GDM diagnosis by OGTT was highest prior to peak rainfall. Conclusions: Risk-factor-based screening was not sufficiently sensitive or specific to be useful to diagnose GDM in this setting among a cohort of low-risk pregnant women. A two-step universal screening program has thus been implemented.

Low Urinary Iodine Concentration Is Associated with Increased Risk for Elevated Plasma Glucose in Females: An Analysis of NHANES 2011-12

Iodine intake in the US has declined in recent years. Iodine insufficiency increases the risk for inadequate thyroid hormone production and there is growing evidence that sub-clinical hypothyroidism may be disruptive to metabolic health, including insulin resistance (IR). We investigated the association between urinary iodine concentrations (UIC), a measurement of iodine status, and IR in adults. Data from 1286 US adults (≥20 years) in the NHANES 2011-2012 were analyzed. Two subgroups (low = UIC < 100 µg/L and normal = UIC ≥ 100 µg/L) were compared for markers of IR, including fasting plasma glucose (FPG) and insulin, homeostatic model assessment of insulin resistance (HOMA-IR), and glycated hemoglobin (HbA1C). Chi-square test, both linear and logistic regression models were used. In males, there were no significant associations between UIC and markers of IR; however, females with normal UIC had greater risks for elevated HOMA-IR (AOR = 0.56, 95% CI= 0.32-0.99) and HbA1C (AOR = 0.56, 95% CI = 0.34-0.90), while females with low UIC had a greater risk for FPG ≥ 5.6 mmol/L (AOR = 1.73, 95% CI = 1.09-2.72). Results only partially support our hypothesis that UIC is associated with the odds of IR in adults. The finding of an increased risk for elevated FPG, a marker of prediabetes, in female adults with low iodine status requires further investigation.

Triglyceride glucose-body mass index and the risk of diabetes: a general population-based cohort study

Background

Triglyceride glucose-body mass index (TyG-BMI) has been proven to be a reliable substitute for insulin resistance. However, whether a causal association exists between TyG-BMI and new-onset diabetes remains uncertain. The purpose of this study was to investigate the causal association and predictive performance between TyG-BMI and diabetes.

Methods

A total of 116,661 subjects who underwent a physical examination were included in this study. The subjects were divided into five equal points according to the quintile of TyG-BMI, and the outcome of interest was the occurrence of diabetic events. TyG-BMI = ln [fasting plasma glucose (mg/dL) × fasting triglycerides (mg/dL)/2] × BMI.

Results

During the average follow-up period of 3.1 (0.95) years, 1888 men (1.61 %) and 793 women (0.68 %) were newly diagnosed with diabetes. Multivariate Cox regression analysis showed that TyG-BMI was an independent predictor of new-onset diabetes (HR 1.50 per SD increase, 95 %CI: 1.40 to 1.60, P-trend < 0.00001), and the best TyG-BMI cutoff value for predicting new-onset diabetes was 213.2966 (area under the curve 0.7741, sensitivity 72.51 %, specificity 69.54 %). Additionally, the results of subgroup analysis suggested that the risk of TyG-BMI-related diabetes in young and middle-aged people was significantly higher than that in middle-aged and elderly people, and the risk of TyG-BMI-related diabetes in non-obese people was significantly higher than that in overweight and obese people (P for interaction < 0.05).

Conclusions

This cohort study of the Chinese population shows that after excluding other confounding factors, there is a causal association of TyG-BMI with diabetes, and this independent association is more obvious in young, middle-aged and non-obese people.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12944-021-01532-7.

Impaired brown adipose tissue is differentially modulated in insulin-resistant obese wistar and type 2 diabetic Goto-Kakizaki rats

Brown adipose tissue (BAT) is a potential target to treat obesity and diabetes, dissipating energy as heat. Type 2 diabetes (T2D) has been associated with obesogenic diets; however, T2D was also reported in lean individuals to be associated with genetic factors. We aimed to investigate the differences between obese and lean models of insulin resistance (IR) and elucidate the mechanism associated with BAT metabolism and dysfunction in different IR animal models: a genetic model (lean GK rats) and obese models (diet-induced obese Wistar rats) at 8 weeks of age fed a high-carbohydrate (HC), high-fat (HF) diet, or high-fat and high-sugar (HFHS) diet for 8 weeks. At 15 weeks of age, BAT glucose uptake was evaluated by 18F-FDG PET under basal (saline administration) or stimulated condition (CL316,243, a selective β3-AR agonist). After CL316, 243 administrations, GK animals showed decreased glucose uptake compared to HC animals. At 16 weeks of age, the animals were euthanized, and the interscapular BAT was dissected for analysis. Histological analyses showed lower cell density in GK rats and higher adipocyte area compared to all groups, followed by HFHS and HF compared to HC. HFHS showed a decreased batokine FGF21 protein level compared to all groups. However, GK animals showed increased expression of genes involved in fatty acid oxidation (CPT1 and CPT2), BAT metabolism (Sirt1 and Pgc1-α), and obesogenic genes (leptin and PAI-1) but decreased gene expression of glucose transporter 1 (GLUT-1) compared to other groups. Our data suggest impaired BAT function in obese Wistar and GK rats, with evidence of a whitening process in these animals.

Comparison of the contributions of impaired beta cell function and insulin resistance to the development of type 2 diabetes in a Japanese community: the Hisayama Study

AIMS/HYPOTHESIS

Our aim was to compare the contributions of impaired beta cell function (IBF) and insulin resistance with the development of type 2 diabetes in a Japanese community.

METHODS

A total of 2094 residents aged 40-79 years without diabetes underwent a health examination including a 75 g OGTT in 2007. Participants were divided into four groups according to the presence or absence of IBF (insulinogenic index/HOMA-IR ≤28.5) and insulin resistance (HOMA-IR ≥1.61) and were followed up for 7 years (2007-2014). Cox's proportional hazards model was used to estimate HRs and 95% CIs for type 2 diabetes. The population attributable fractions (PAFs) due to IBF, insulin resistance, and their combination were calculated.

RESULTS

At baseline, the prevalence of isolated IBF, isolated insulin resistance, and both IBF and insulin resistance were 5.4%, 24.1% and 9.5%, respectively. During the follow-up period, 272 participants developed type 2 diabetes. The multivariable-adjusted HRs (95% CI) and PAFs (95% CI) for type 2 diabetes were 6.3 (4.3, 9.2) and 13.3% (8.7, 17.7) in the participants with isolated IBF, 1.9 (1.3, 2.7) and 10.5% (4.0, 16.6) in those with isolated insulin resistance, and 8.0 (5.7, 11.4) and 29.3% (23.0, 35.1) in those with both IBF and insulin resistance, respectively, compared with the participants without either.

CONCLUSIONS/INTERPRETATION

The present study suggests that the combination of IBF and insulin resistance makes the main contribution to the development of type 2 diabetes in Japanese communities.

Combined associations of liver enzymes and obesity with diabetes mellitus prevalence: The Tohoku Medical Megabank Community-based Cohort Study

BACKGROUND

Alanine aminotransferase (ALT) and gamma-glutamyl transferase (GGT) are enzymes associated with diabetes mellitus (DM) prevalence. However, limited information is available regarding the association of liver enzymes and DM consistently present in obese and non-obese individuals. We examined whether the combination of ALT and GGT enzymes is associated with the prevalence of DM regardless of obesity in a general Japanese population.

METHODS

We conducted a cross-sectional study of 62,786 participants aged ≥20 years who lived in Miyagi and Iwate, Japan. We divided all the participants into eight groups according to the ALT level (low: <30 IU/L and high: ≥30 IU/L), GGT level (low: <50 IU/L and high: ≥50 IU/L), and the presence of obesity. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) using multivariable logistic regression analysis, adjusting for potential confounders, to determine associations of the combination of ALT and GGT levels and obesity with DM prevalence.

RESULTS

Overall, 6,008 participants (9.6%) had DM. Compared to non-obese individuals with low ALT and GGT levels, the participants with high ALT and GGT levels had high ORs for DM in both obese (OR 4.06; 95% CI, 3.61-4.56) and non-obese groups (OR 2.19; 95% CI, 1.89-2.52). The obese group had high ORs for DM, even at low ALT and GGT levels.

CONCLUSION

High ALT and GGT levels are associated with DM prevalence in obese and non-obese participants. This finding suggests that correcting ALT and GGT levels and controlling obesity are important for the prevention of DM.

Socio-demographic and clinical characteristics of diabetes mellitus in rural Rwanda: time to contextualize the interventions? A cross-sectional study

BACKGROUND

Existing prevention and treatment strategies target the classic types of diabetes yet this approach might not always be appropriate in some settings where atypical phenotypes exist. This study aims to assess the socio-demographic and clinical characteristics of people with diabetes in rural Rwanda compared to those of urban dwellers.

METHODS

A cross-sectional, clinic-based study was conducted in which individuals with diabetes mellitus were consecutively recruited from April 2015 to April 2016. Demographic and clinical data were collected from patient interviews, medical files and physical examinations. Chi-square tests and T-tests were used to compare proportions and means between rural and urban residents.

RESULTS

A total of 472 participants were recruited (mean age 40.2 ± 19.1 years), including 295 women and 315 rural residents. Compared to urban residents, rural residents had lower levels of education, were more likely to be employed in low-income work and to have limited access to running water and electricity. Diabetes was diagnosed at a younger age in rural residents (mean ± SD 32 ± 18 vs 41 ± 17 years; p < 0.001). Physical inactivity, family history of diabetes and obesity were significantly less prevalent in rural than in urban individuals (44% vs 66, 14.9% vs 28.7 and 27.6% vs 54.1%, respectively; p < 0.001). The frequency of fruit and vegetable consumption was lower in rural than in urban participants. High waist circumference was more prevalent in urban than in rural women and men (75.3% vs 45.5 and 30% vs 6%, respectively; p < 0.001). History of childhood under-nutrition was more frequent in rural than in urban individuals (22.5% vs 6.4%; p < 0.001).

CONCLUSIONS

Characteristics of people with diabetes in rural Rwanda appear to differ from those of individuals with diabetes in urban settings, suggesting that sub-types of diabetes exist in Rwanda. Generic guidelines for diabetes prevention and management may not be appropriate in different populations.

Impact of malnutrition on systemic immune and metabolic profiles in type 2 diabetes

BACKGROUND

While obesity and overweight status are firmly established risk factors for Type 2 diabetes mellitus (T2DM), a substantial proportion of diabetic individuals, especially in Africa and Asia, are often underweight or normal weight. However, very little is known about the immunological and metabolic profiles of these individuals.

METHODS

This study aimed to assess the relationship between malnutrition and Type 2 diabetes mellitus (T2DM). We examined a variety of analytes associated with the immunological and metabolic profiles of T2DM individuals with low (< 18.5 kg/m2) or normal (18.5-24.9 kg/m2) body mass index (BMI). To this end, we measured plasma levels of HbA1c, glucose, insulin, glucagon, adipocytokines and Type 1, Type 2, Type 17, pro-inflammatory and regulatory cytokines in T2DM individuals with low BMI (LBMI) or normal BMI (NBMI) with small sample size n = 44 in each group.

RESULTS

LBMI individuals exhibited significantly higher levels of HbA1c, random blood glucose, insulin and glucagon compared to NBMI individuals. Similarly, LBMI individuals exhibited significantly higher levels of adiponectin and adipsin and significantly lower levels of leptin in comparison to NBMI individuals. LBMI individuals also exhibited significantly lower levels of the Type 1, Type 2, Type 17, pro-inflammatory and regulatory cytokines in comparison to NBMI individuals. Finally, while the metabolic parameters exhibited a significant negative correlation with BMI, the immunological parameters exhibited a significant positive correlation with BMI.

CONCLUSIONS

Malnutrition is associated with a significant modulation of glycemic, hormonal and cytokine parameters in T2DM. Hence, the biochemical and immunological profiles of T2DM is significantly influenced by BMI.

Non-Dietary Factors Associated with Glycemic Status among Adults Diagnosed with Type 2 Diabetes Mellitus in Malawi

We assessed glycemic status and associations with socio-demographic, biomedical, anthropometric, and physical activity (PA) levels among adults with type 2 diabetes mellitus (T2DM) (n = 428; urban n = 288; semi-urban n = 140) using a cross-sectional study. Multivariate linear regression was used to determine factors associated with glycosylated hemoglobin (A1C) . A1C was clinically elevated ≥8% for 60.3% of the participants. Overall, age and PA levels showed a negative association with A1C, and positively with underweight status, duration of diabetes, and participants' view of fluctuating/unstable blood glucose and blood glucose not improved compared to first diagnosed. A significant negative association with A1C was shown with PA levels and additional blood glucose monitoring (BGM) beyond that received at the public clinic in the urban area. Whilst, in the semi-urban area, there was a significant positive association with A1C with regards to duration of diabetes and insulin regimen. Determinants of A1C in this target group are multifactorial, therefore, interventions aiming to improve diabetes clinical outcomes are needed to reduce the likelihood of serious ramifications. Additionally, a team approach from healthcare professionals is needed in conjunction with active patient engagement as well as the development of more comprehensive diabetes care guidelines and policies.

Decreased arterial distensibility and postmeal hyperinsulinemia in young Japanese women with family history of diabetes

INTRODUCTION

To assess vascular function and characterize insulin secretion using a physiological approach in Japanese women with family history of type 2 diabetes (FHD).

RESEARCH DESIGN AND METHODS

Standardized mixed-meal tests were performed with multiple postprandial glucose, insulin and free fatty acids (FFA) measurements over a 30-120 min period in 31 Japanese women aged 21-24 years. Arterial distensibility was assessed as well.

RESULTS

Fasting glucose, triglyceride and insulin averaged <90 mg/dL, <60 mg/dL and <5 μU/mL, respectively, and did not differ cross-sectionally between 10 with (FHD+) and 21 without FHD (FHD-). FHD+ showed higher insulin responses not only during the first 30 min (p=0.005) but also during the second hour (60-120 min, p<0,05) in spite of identical postprandial suppression of FFA and identical fasting and postprandial glucose and FFA concentrations, except for higher 60 min FFA in FHD+. Further, FHD+ had decreased arterial distensibility (p=0.003). On multivariate regression analysis, arterial distensibility emerged as the only significant independent predictor of FHD+. Endurance training in FHD+ did not alter decreased arterial distensibility whereas it abolished postprandial hyperinsulinemia.

CONCLUSIONS

FHD was associated with decreased arterial distensibility and postprandial hyperinsulinemia despite nearly identical postprandial glycemia and postprandial FFA suppression, suggesting that impaired vascular insulin sensitivity may precede glucose and lipid dysmetabolism in normal weight Japanese women aged 22 years.

Tailoring lifestyle programmes for diabetes prevention for US South Asians

Objective

The purpose of this study was to develop and test the feasibility of a culturally tailored Diabetes Prevention Programme (DPP) for US South Asians, a large population with high diabetes risk.

Design

The South Asian Health and Prevention Education (SHAPE) study included: (1) focus group discussions with South Asian adults to understand views of lifestyle behaviours and diabetes prevention; (2) modification of the US DPP for South Asians and (3) a pilot, pre-post study to test the feasibility and impact of delivering the culturally tailored programme.

Setting

The study was conducted in Atlanta, Georgia, USA. Focus group discussions and intervention classes were held at locations within the community (eg, South Asian restaurants, a public library, university classrooms, a South Asian owned physical therapy studio).

Participants

The focus group discussions (n=17 with 109 individuals) included adults aged 25 years of older who self-identified as South Asian. Groups were stratified by age (25-40 years or older than 40 years) and sex. The SHAPE pilot study included 17 (76.5% male with a mean age of 46.9±12 years) South Asian adults aged 25 years or older with pre-diabetes and body mass index (BMI) >22 kg/m2.

Results

Formative data from 17 focus group discussions and a community board guided the modification of the DPP curriculum to reflect cultural food preferences and include tools to leverage social support, create a stronger foundation in exercise and overcome culturally specific barriers. The SHAPE pilot study included 17 South Asian adults with pre-diabetes and BMI >22 kg/m2. There were positive changes in participants' weight, waist circumference, blood pressure, plasma lipids, HbA1c and other cardiometabolic markers postintervention and 55% of participants regressed to normoglycaemia.

Conclusion

These results provide important information on the barriers faced by US South Asians in participating in 'standard' lifestyle change programs, indicate the feasibility of culturally tailored programmes and show positive impact of a culturally tailored programme for diabetes prevention in the South Asian population.

Huperzine A ameliorates obesity-related cognitive performance impairments involving neuronal insulin signaling pathway in mice

Type 2 diabetes (T2D) and Alzheimer's disease (AD) share several common pathophysiological features. Huperzine A (Hup A), a Lycopodium alkaloid extracted from the Chinese herb moss Huperzia serrata, is a specific and reversible inhibitor of acetylcholinesterase, which is clinically used for the treatment of AD. In this study, we investigated whether Hup A improved the metabolic and cognitive functions in the high fat-induced (HFD) obese mice and genetic ob/ob mice. HFD and ob/ob mice were treated with Hup A (0.1, 0.3 mg · kg-1 · d-1, ig) for 3 months. Body weight was monitored and glucose tolerance tests were performed. Novel object recognition test and Morris water maze assay were conducted to evaluate the cognitive functions. We found that the Hup A treatment had no significant effect on peripheral metabolism of obese mice, whereas Hup A (0.1, mg · kg-1 · d-1) improved both the abilities of object recognition and spatial memory in HFD-fed mice, but not in ob/ob mice. Furthermore, Hup A treatment significantly upregulated the insulin and phosphorylated Akt levels in the cortex of HFD-fed mice, but not ob/ob mice. In addition, Hup A (0.3, mg · kg-1 · d-1) significantly decreased cortical β-secretase (BACE1) expression. In conclusion, these results demonstrate that treatment with Hup A (0.1, mg · kg-1 · d-1) can effectively improve the cognitive functions, at least in diet-induced obese mice.

Impaired compensatory hyperinsulinemia among nonobese type 2 diabetes patients: a cross-sectional study

AIMS

Obesity associated prolonged hyperinsulinemia followed by β-cell failure is well established as the pathology behind type 2 diabetes mellitus (T2DM). However, studies on nonobese T2DM have reported it to be a distinct clinical entity with predominant insulin secretory defect. We, therefore, hypothesized that compensatory hyperinsulinemia in response to weight gain is impaired in nonobese subjects.

METHODS

This was a cross-sectional study from a community-based metabolic health screening program. Adiposity parameters including body mass index (BMI), waist circumference (WC), body fat percentage, plasma leptin concentration and metabolic parameters namely fasting insulin, glucose, total cholesterol, and triglycerides were measured in 650 individuals (73% healthy, 62% nonobese with a BMI <25).

RESULTS

In contrast to obese T2DM, nonobese T2DM patients did not exhibit significant hyperinsulinemia compared with the nonobese healthy group. Age, sex, and fasting glucose adjusted insulin levels, homeostatic model assessment of insulin resistance (HOMA-IR) and HOMA-beta cell function (HOMA-B) were increased in obese T2DM compared with nonobese T2DM. Although adiposity parameters showed strong correlation with fasting insulin in obese healthy (r = 0.38, 0.38, and 0.42, respectively; all p values < 0.001) and T2DM (r = 0.54, 0.54, and 0.66, respectively; all p < 0.001), only BMI and leptin showed a weak correlation with insulin in the nonobese healthy group (0.13 and 0.13, respectively; all p < 0.05) which were completely lost in the nonobese T2DM.

CONCLUSIONS

Compensatory hyperinsulinemia in response to weight gain is impaired in the nonobese population making insulin secretory defect rather than IR the major pathology behind nonobese T2DM.

Gender difference in the association of dietary patterns and metabolic parameters with obesity in young and middle-aged adults with dyslipidemia and abnormal fasting plasma glucose in Taiwan

BACKGROUND

The increasing prevalence of obesity has become a pandemic problem, and dietary patterns are one of the important factors causing obesity. Although the correlation between dietary patterns and obesity has been well explored, the gender difference on the association between dietary patterns and obesity remains unclear. The objective of this study examined whether gender difference existed in the relationship of dietary patterns with metabolic parameters and specific indices of adiposity among young and middle-aged adults with dyslipidemia and abnormal fasting plasma glucose (FPG) in Taiwan.

METHODS

A total of 14,087 subjects aged between 20 and 50 years with dyslipidemia and abnormal FPG were recruited in Taiwan between 2001 and 2010 for a cross-sectional study. Dyslipidemia was defined primarily according to the National Cholesterol Education Program Adult Treatment Panel III guidelines with minor modification. Abnormal FPG level was defined by the American Diabetes Association. Principal component analysis was conducted to identify dietary patterns. Multivariate logistic regression analysis was performed to evaluate the association of dietary patterns and metabolic parameters with different indices of adiposity including general obesity, central obesity, and high body fat, stratified by gender.

RESULTS

Two dietary patterns derived from principal component analysis were the prudent dietary pattern and the western dietary pattern. Both men and women in the highest quartile of the western dietary pattern had a significantly increased odds ratio of general obesity, central obesity, and high body fat. However, only male subjects in the higher quartiles of the prudent dietary pattern had a significantly decreased odds ratio of all indices of obesity. Both men and women with higher high-density lipoprotein cholesterol and total cholesterol levels had a significantly reduced odds ratio of general and central obesity, while those with higher triglycerides and FPG levels had a significantly increased odds ratio of general and central obesity. Higher low-density lipoprotein cholesterol level was significantly associated with an elevated odds ratio of high body fat, while higher total cholesterol level was significantly correlated with a reduced odds ratio of high body fat only in women.

CONCLUSIONS

Gender difference exists in the association of dietary patterns and metabolic parameters with obesity and body fat in young and middle-aged adults with dyslipidemia and abnormal FPG in Taiwan.

Association of obesity with heart failure outcomes in 11 Asian regions: A cohort study

BACKGROUND

Asians are predisposed to a lean heart failure (HF) phenotype. Data on the 'obesity paradox', reported in Western populations, are scarce in Asia and have only utilised the traditional classification of body mass index (BMI). We aimed to investigate the association between obesity (defined by BMI and abdominal measures) and HF outcomes in Asia.

METHODS AND FINDINGS

Utilising the Asian Sudden Cardiac Death in Heart Failure (ASIAN-HF) registry (11 Asian regions including Taiwan, Hong Kong, China, India, Malaysia, Thailand, Singapore, Indonesia, Philippines, Japan, and Korea; 46 centres with enrolment between 1 October 2012 and 6 October 2016), we prospectively examined 5,964 patients with symptomatic HF (mean age 61.3 ± 13.3 years, 26% women, mean BMI 25.3 ± 5.3 kg/m2, 16% with HF with preserved ejection fraction [HFpEF; ejection fraction ≥ 50%]), among whom 2,051 also had waist-to-height ratio (WHtR) measurements (mean age 60.8 ± 12.9 years, 24% women, mean BMI 25.0 ± 5.2 kg/m2, 7% HFpEF). Patients were categorised by BMI quartiles or WHtR quartiles or 4 combined groups of BMI (low, <24.5 kg/m2 [lean], or high, ≥24.5 kg/m2 [obese]) and WHtR (low, <0.55 [thin], or high, ≥0.55 [fat]). Cox proportional hazards models were used to examine a 1-year composite outcome (HF hospitalisation or mortality). Across BMI quartiles, higher BMI was associated with lower risk of the composite outcome (ptrend < 0.001). Contrastingly, higher WHtR was associated with higher risk of the composite outcome. Individuals in the lean-fat group, with low BMI and high WHtR (13.9%), were more likely to be women (35.4%) and to be from low-income countries (47.7%) (predominantly in South/Southeast Asia), and had higher prevalence of diabetes (46%), worse quality of life scores (63.3 ± 24.2), and a higher rate of the composite outcome (51/232; 22%), compared to the other groups (p < 0.05 for all). Following multivariable adjustment, the lean-fat group had higher adjusted risk of the composite outcome (hazard ratio 1.93, 95% CI 1.17-3.18, p = 0.01), compared to the obese-thin group, with high BMI and low WHtR. Results were consistent across both HF subtypes (HFpEF and HF with reduced ejection fraction [HFrEF]; pinteraction = 0.355). Selection bias and residual confounding are potential limitations of such multinational observational registries.

CONCLUSIONS

In this cohort of Asian patients with HF, the 'obesity paradox' is observed only when defined using BMI, with WHtR showing the opposite association with the composite outcome. Lean-fat patients, with high WHtR and low BMI, have the worst outcomes. A direct correlation between high WHtR and the composite outcome is apparent in both HFpEF and HFrEF.

TRIAL REGISTRATION

Asian Sudden Cardiac Death in HF (ASIAN-HF) Registry ClinicalTrials.gov Identifier: NCT01633398.