Insulin resistance determined by Homeostasis Model Assessment (HOMA) and associations with metabolic syndrome among Chinese children and teenagers

Gender Differences of Visceral Fat Area to Hip Circumference Ratio for Insulin Resistance

Introduction

Not all type 2 diabetes mellitus (T2DM) patients exhibit insulin resistance (IR). Our objective is to identify the most effective sex-specific index for predicting IR in T2DM. This will be achieved through a comparative analysis of the sex-specific attributes of waist to hip circumference ratio (WHR), visceral fat area to hip circumference ratio (VHR), and visceral fat area to subcutaneous fat area ratio (VSR).

Methods

Receiver operating characteristic curve analysis was conducted to estimate the area under the curve for WHR, VHR, and VSR. Subsequently, logistic regression was employed to analyze the relationship between VHR and IR.

Results

There were significant differences between males and females in anthropometric measurements, biochemical data, and obesity prevalence. ROC analysis revealed that the area under the curve (AUC) for predicting male IR was 0.67, 0.71, and 0.62 for WHR, VHR, and VSR, respectively. For females, the AUC values were 0.63, 0.69, and 0.60, respectively. In multivariate logistic regression analysis, adjusting for confounding factors, compared to the lowest tertile of VHR, the odds ratio (OR) of the highest tertile was 2.2 (95% CI: 1.47-3.3, P<0.001) for males and 2.1 (95% CI: 1.24-3.57, P=0.005) for females.

Conclusion

VHR emerges as the most reliable predictor of IR risk in individuals with T2DM.

The associations of insulin resistance, obesity, and lifestyle with the risk of developing hyperuricaemia in adolescents

BACKGROUND

Hyperuricaemia is common among obese children and adolescents, and is closely related to insulin resistance. The aim of this study was to explore the relationships between youth insulin resistance and hyperuricaemia, as well as their relationships with lifestyle factors in youths, to provide early guidance on the risk factors for hyperuricaemia in adolescents.

METHODS

This study included 233 adolescents aged 10 to 20 years. Insulin resistance was evaluated via the homeostasis model assessment-insulin resistance (HOMA-IR) method. Binary logistic regression analysis was used to assess the associations of HOMA-IR with hyperuricaemia status and serum uric acid (UA) levels. The participants were subsequently divided into two groups, the noninsulin resistant group (HOMA-IR ≤ 3.2) and the insulin resistant group (HOMA-IR > 3.2), to further explore the factors that may affect the serum UA level. Finally, the predictive ability of different indicators of hyperuricaemia was evaluated via the ROC curve.

RESULTS

Binary logistic regression analysis revealed a significant increase in the risk of developing hyperuricaemia for individuals with elevated HOMA-IR (p < 0.001) and insulin resistance (p < 0.01). Spearman's correlation analysis revealed a significant positive linear correlation between HOMA-IR and serum UA levels (r = 0.4652, p < 0.001). Among insulin-resistant adolescents, UA levels were positively correlated with weight ratings, frequency of staying up late, and sugary beverages intake. Notably, individuals who engaged in 1-3 h of weekly exercise had the lowest UA levels. The area under the ROC curve for HOMA-IR was 0.847 (cut-off value = 2.165, p < 0.001), and the optimal prediction model included HOMA-IR, BMI z-score, and other lifestyle factors (AUC: 0.870, p < 0.001)).

CONCLUSION

HOMA-IR was identified as an independent risk factor for the development of hyperuricaemia and could be used as a sensitive indicator for the prediction its development in adolescents. In insulin-resistant adolescents with hyperuricaemia, maintaining normal weight, engaging in physical exercise for 1-3 h per week, avoiding staying up late and limiting sugary beverages intake are recommended to reduce the prevalence of hyperuricaemia among adolescents.

Serum glutathione peroxidase is associated with nonalcoholic fatty liver disease in children and adolescents

BACKGROUND AND AIMS

oxidative stress is an important factor in the pathophysiology of non-alcoholic fatty liver disease (NAFLD). This study aimed to compare the serum levels of malondialdehyde (MDA), glutathione peroxidase (GPx) and antioxidant micronutrients in children and adolescents with and without NAFLD.

METHODS

a cross-sectional study with patients between 8-18 years old, of both sexes. Diagnosis of NAFLD: presence of steatosis on ultrasound and absence of history of ethanol consumption and other liver diseases. Anthropometric measures, MDA, GPx, Interleukin-6, serum levels of vitamins A, C and E, selenium, zinc, and copper were evaluated.

RESULTS

eighty-nine children with mean age of 12 (3) years, 57.3 % female and 24 % with NAFLD were evaluated. Those with NAFLD had more frequent abdominal obesity (high waist-height ratio: 81.0 % x 48.5 %; p = 0.009). After logistic regression NAFLD was associated with high body mass index/age (p-adjusted = 0.021) and with reduced serum GPx (p-adjusted = 0.034). There was a positive correlation between MDA and copper (r = 0.288; p = 0.006), IL-6 (r = 0.357; p = 0.003) and a negative one with vitamin A (r = -0.270; p = 0.011).

CONCLUSIONS

oxidative stress is present in children with NAFLD and non-invasive markers such as GPx and BMI can be used in clinical practice and help in the early screening of NAFLD.

The influence of genotype makeup on the effectiveness of growth hormone therapy in children with Prader-Willi syndrome

BACKGROUND

Prader-Willi syndrome (PWS) is a rare multisystemic hereditary illness. Recombinant human growth hormone (rhGH) therapy is widely recognized as the primary treatment for PWS. This study aimed to examine how different PWS genotypes influence the outcome of rhGH treatment in children with PWS.

METHODS

A review was conducted on 146 Chinese children with PWS, genetically classified and monitored from 2017 to 2022. Unaltered and modified generalized estimating equations (GEE) were employed to examine the long-term patterns in primary outcomes (growth metrics) and secondary outcomes (glucose metabolism metrics and insulin-like growth factor-1 (IGF-1)) during rhGH therapy. The study also evaluated the prevalence of hypothyroidism, hip dysplasia, and scoliosis before and after rhGH treatment.

RESULTS

Children with PWS experienced an increase in height/length standard deviation scores (SDS) following rhGH administration. The impact of rhGH therapy on growth measurements was similar in both the deletion and maternal uniparental diploidy (mUPD) cohorts. Nevertheless, the deletion group was more prone to insulin resistance (IR) compared to the mUPD group. No significant variations in growth metrics were noted between the two groups (P > 0.05). At year 2.25, the mUPD group showed a reduction in fasting insulin (FINS) levels of 2.14 uIU/ml (95% CI, -4.26, -0.02; P = 0.048) and a decrease in homeostasis model assessment of insulin resistance (HOMA-IR) of 0.85 (95% CI, -1.52, -0.17; P = 0.014) compared to the deletion group. Furthermore, there was a decrease in the IGF standard deviation scores (SDS) by 2.84 (95% CI, -4.84, -0.84; P = 0.005) in the mUPD group during the second year. The frequency of hip dysplasia was higher in the mUPD group compared to the deletion group (P < 0.05).

CONCLUSIONS

rhGH treatment effectively increased height/length SDS in children with PWS, with similar effects observed in both deletion and mUPD genotypes. Children with mUPD genetype receiving rhGH treatment may experience enhanced therapeutic effects in managing PWS.

Maternal pregnancy diet quality, night eating, and offspring metabolic health: the GUSTO study

BACKGROUND

We investigated the understudied influence of maternal diet quality, food timing, and their interactions during pregnancy on offspring metabolic health.

METHODS

Maternal diet at 26-28 weeks' gestation was assessed using a 24-h recall and adherence to the modified-healthy-eating-index (HEI-SGP) reflects diet quality. Predominant night-eating (PNE) was defined as consuming >50% of total daily energy intake from 19:00 to 06:59. Outcomes were offspring composite metabolic syndrome score and its components measured at age 6 years. Multivariable linear regressions adjusted for relevant maternal and child covariates assessed associations of diet quality and PNE with these outcomes.

RESULTS

Up to 758 mother-child pairs were included. The mean(SD) maternal HEI-SGP score was 52.3(13.7) points (theoretical range: 0-100) and 15% of the mothers demonstrated PNE. Maternal diet quality showed inverse relationship with offspring Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) [β(95% CI): -0.08(-0.15, -0.02) per-10-point HEI-SGP increment; P = 0.012]. Maternal PNE was associated with a higher offspring HOMA-IR [0.28(0.06, 0.50); P = 0.012], with similar estimates after adjustment for children's BMI and diet quality; the association was stronger for boys (P-interaction<0.001) and among mothers with lower diet quality (

CONCLUSIONS

Maternal PNE and low dietary quality were associated with a higher level of insulin resistance in early childhood, especially among boys.

IMPACT

We demonstrated that maternal predominant night-eating behavior and low-quality diet are associated with higher offspring insulin resistance. Maternal low-quality diet and predominant night-eating behavior synergistically interact to influence offspring insulin resistance, particularly among boys. While maternal diet quality and food timing impact the mother's health, their influence on offspring long-term health outcomes through developmental programming is not well understood. Our findings highlight the significance of maternal food timing and calls for further studies on its influence on child health through developmental programming. Targeting both dietary quality and food timing during pregnancy could be a promising intervention strategy.

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Affiliation(s)

Ling-Wei Chen Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan. Master of Public Health Program, College of Public Health, National Taiwan University, No. 17 Xu-Zhou Road, Taipei, 10055, Taiwan. A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore.
See Ling Loy Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, Singapore Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore
Mya Thway Tint A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
Navin Michael A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore
Yi Ying Ong Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
Jia Ying Toh A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore
Peter D Gluckman Liggins Institute, University of Auckland, 85 Park Rd, Grafton, Auckland, 1023, New Zealand
Kok Hian Tan Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
Yap-Seng Chong A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore
Keith M Godfrey MRC Lifecourse Epidemiology Centre & NIHR Southampton Biomedical Research Centre, University of Southampton & University Hospital Southampton NHS Foundation Trust, Tremona Road, SO16 6YD, Southampton, UK
Johan G Eriksson A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore Department of General Practice and Primary Health Care, University of Helsinki, Haartmaninkatu 8, 00290, Helsinki, Finland Folkhälsan Research Center, Topeliusgatan 20, 00250, Helsinki, Finland
Fabian Yap Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore Department of Pediatric Endocrinology, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
Yung Seng Lee A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Singapore, 119228, Singapore Khoo Teck Puat- National University Children's Medical Institute, National University Health System, 1E Kent Ridge Road, Singapore, 119228, Singapore
Mary F F Chong A*STAR Institute for Human Development and Potential (A*STAR IHDP), Agency for Science, Technology and Research (A*STAR), 30 Medical Drive, 117609, Singapore, Singapore Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Singapore, 117549, Singapore

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Cardiometabolic Risk Assessment in a Cohort of Children and Adolescents Diagnosed with Hyperinsulinemia

BACKGROUND

Individuals with hyperinsulinemia may initially not meet any diagnostic criteria for metabolic syndrome, though displaying a higher risk of cardiovascular complications combined with obesity, diabetes, and hypertension.

AIM

The main objective of our study was to assess the diagnostic accuracy of various cardiovascular risk indices in hyperinsulinemic children and adolescents; a secondary objective was to estimate the optimal cut-offs of these indices.

PATIENTS AND METHODS

This retrospective single-center study was conducted on 139 patients aged 12.1 ± 2.9 years, managed for hyperinsulinism.

RESULTS

We found statistically significant differences in homeostasis model assessment of insulin resistance index (HOMA-IR), triglyceride glucose index (TyG), TyG-body mass index, visceral adiposity index, lipid accumulation product index, fatty liver index, and hepatic steatosis index. At the linear logistic regression assessment, we found that insulin growth factor-1 (IGF-1), HOMA-IR, and ALT/AST ratio were independently associated with confirmed hyperinsulinism. At the multivariate analysis, IGF-1 levels over 203 ng/mL and HOMA-IR higher than 6.2 were respectively associated with a 9- and 18-times higher odds ratio for hyperinsulinism. The other investigated parameters were not significantly related to hyperinsulinism, and could not predict either the presence of hyperinsulinemia or a subsequent cardiovascular risk in our patients.

CONCLUSION

Commonly used indices of cardiovascular risk in adults cannot be considered accurate in confirming hyperinsulinism in children, with the exception of HOMA-IR. Further studies are needed to verify the usefulness of specific cardiovascular risk indices in hyperinsulinemic children and adolescents.

Comparison of the Clinical Utility of Two Insulin Resistance Indices: IRI-HOMA and IRI-Belfiore in Diagnosing Insulin Resistance and Metabolic Complications in Children Based on the Results Obtained for the Polish Population

Background: Recognizing insulin resistance (IR) in children remains challenging due to uncertain IRI-HOMA cut-offs and unclear recommendations for evaluating IR based on OGTT. In our study, we compare the effectiveness of IRI-HOMA and IRI-Belfiore (OGTT-based) in detecting IR and its metabolic complications in children. Methods: The analysis included 553 children who were hospitalized at the Department of Endocrinology and Metabolic Diseases of the Polish Mother's Memorial Hospital Research Institute (PMMH-RI) in Lodz, Poland, between 2002 and 2018 due to various reasons-of these, 67.5% were girls. All underwent OGTT for glucose and insulin assessment. IR diagnosis relied on IRI-HOMA and IRI-Belfiore. IR based on IRI-HOMA was evaluated using three criteria: (A) >2.5; (B) >2.67 in boys and >2.22 in girls before puberty and >5.22 and >3.82 during puberty, respectively; (C) >95th percentile according to charts for IRI-HOMA in children. Results: Prepubertal children exhibited significantly lower IRI-HOMA and IRI-Belfiore than their pubertal counterparts (p < 0.00005). IRI-HOMA and IRI-Belfiore values positively correlated with age and BMI SDS value (p < 0.000001 for all calculations). As many as 26% to 46.9% of children with normal IRI-HOMA showed elevated IRI-Belfiore, with notably higher levels of triglycerides, a lower HDL cholesterol fraction, and a lower HDL/total cholesterol ratio in this subgroup. Conclusions: A notable proportion of children exhibited elevated IRI-Belfiore levels despite having normal IRI-HOMA values. This suggests the possibility of peripheral IR preceding hepatic IR in children-omitting an OGTT may therefore lead to overlooking cases of IR. Children diagnosed with IR via OGTT displayed significantly poorer lipid profiles compared to those without IR (characterized by normal values in both IRI-HOMA and IRI-Belfiore). This underscores the ability of OGTT-derived IR indices to identify individuals at risk of developing complications associated with obesity and IR before the onset of metabolic syndrome (MS) symptoms. If IR is already detected in children based on fasting glucose and insulin levels (IRI-HOMA), further evaluation may not be warranted, as OGTT results often simply confirm the diagnosis.

HIF1α Elevations at Tissue and Serum Levels and Their Association With Metabolic Disorders in Children With Obesity

OBJECTIVE

We aimed to examine the expression profile and circulating level of hypoxia-inducible factor 1 alpha (HIF1α) in children and the relationships with metabolic disorders.

METHODS

A total of 519 children were recruited, with paired subcutaneous and omental adipose tissues collected from 17 children and serum samples from the remaining children. All children underwent anthropometric and biochemical analyses. The mRNA, protein, and serum levels of HIF1α were determined by real-time PCR, immunohistochemistry, and enzyme-linked immunosorbent assay, respectively.

RESULTS

Both HIF1α mRNA and protein levels, especially in omental adipose tissue, were increased in overweight or obese (OV/OB) children (P < .05). Likewise, serum HIF1α level was remarkably higher in OV/OB children than in normal-weight children (P < .05). Serum HIF1α level was positively correlated with BMI z-score, fat mass percentage, waist to height ratio, systolic blood pressure, alanine aminotransferase, total triglycerides, uric acid, and homeostasis model assessment of insulin resistance (IR). Furthermore, a binary logistic regression analysis of serum HIF1α level indicated that the risks for IR, nonalcoholic fatty liver disease (NAFLD), and metabolic syndrome remained significant in the presence of all potential confounding variables. Finally, the area under the receiver operating characteristic curves for serum HIF1α level in children who were diagnosed with IR, NAFLD, and metabolic syndrome were 0.698 (95% CI, 0.646-0.750; P < .001), 0.679 (95% CI, 0.628-0.731; P < .001), and 0.900 (95% CI, 0.856-0.945; P < .001).

CONCLUSION

HIF1α expression is higher in the adipose tissue, especially omental, of children with obesity than in children with normal weight. Elevated serum HIF1α level is associated with adiposity and metabolic disorder, which may predict a higher risk of obesity complications.

Association between tri-ponderal mass index and glucose metabolism disorder in children with obesity in China: A case-control study

Obesity is a risk factor for glucose metabolism disorder. This study explored the association between the tri-ponderal mass index (TMI) and indicators of glucose metabolism disorder in children with obesity in China. This retrospective case-control study included children aged 3 to 18 years old diagnosed with obesity at Jiangxi Provincial Children's Hospital (China) between January 2020 and April 2022. Demographic and clinical characteristics were obtained from the medical records. Factors associated with glucose metabolism disorder were explored by logistic regression analysis. Pearson correlations were calculated to evaluate the relationships between TMI and indicators of glucose metabolism disorder. The analysis included 781 children. The prevalence of glucose metabolism disorder was 22.0% (172/781). The glucose metabolism disorder group had an older age (11.13 ± 2.19 vs 10.45 ± 2.33 years old, P = .001), comprised more females (76.8% vs 66.9%, P = .008), had a higher Tanner index (P = .001), and had a larger waist circumference (89.00 [82.00-95.00] vs 86.00 [79.00-93.75] cm, P = .025) than the non-glucose metabolism disorder group. There were no significant differences between the glucose metabolism disorder and non-glucose metabolism disorder groups in other clinical parameters, including body mass index (26.99 [24.71-30.58] vs 26.57 [24.55-29.41] kg/m2) and TMI (18.38 [17.11-19.88] vs 18.37 [17.11-19.88] kg/m3). Multivariable logistic regression did not identify any factors associated with glucose metabolism disorder. Furthermore, TMI was only very weakly or negligibly correlated with indicators related to glucose metabolism disorder. TMI may not be a useful indicator to screen for glucose metabolism disorder in children with obesity in China.

The relationship between peripheral insulin resistance and social cognitive deficits among euthymic patients with bipolar disorder

BACKGROUND

Despite extensive literature documenting emotion-related social-cognitive deficits in euthymic patients with bipolar disorder (BD), the factors contributing to these deficits have not been definitively established. To address this gap, the present study aimed to examine the association between peripheral insulin resistance (IR) and emotion-related social-cognitive abilities in BD patients and controls.

METHOD

Sixty-five BD patients and 38 non-psychiatric controls were recruited, and their social cognitive ability and IR were measured using the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) and the homeostasis model assessment of insulin resistance (HOMA-IR), respectively.

RESULTS

The study found that the BD patients scored significantly lower than the non-psychiatric controls in the task of emotional management. The BD patients had a higher mean HOMA-IR value as compared with the controls but this result was not statistically significant (p = 0.051). The interaction between BD diagnosis and HOMA-IR value was significant on the MSCEIT Facilitating emotions branch and Facilitation subscale (p = 0.024, p = 0.010), and post-hoc analyses revealed that the BD patients in the higher HOMA-IR group had significantly lower scores than BD patients in the lower HOMA-IR group and the non-psychiatric controls in the higher HOMA-IR group on both the MSCEIT Facilitating emotion branch and Facilitation subscale.

LIMITATIONS

Due to the cross-sectional nature of the study, causality could not be inferred. The study did not examine potential mediators or moderators between IR and social cognition.

CONCLUSIONS

The results suggested that BD patients with IR experience additional impairment in specific domains of social cognition.

The link between obesity and insulin resistance among children: Effects of key metabolites

BACKGROUND

Childhood obesity became a severe public health challenge, and insulin resistance (IR) was one of the common complications. Both obesity and IR were considered as the basis of metabolic disorders. However, it is unclear which common key metabolites are associated with childhood obesity and IR.

METHODS

The children were divided into normal weight and overweight/obese groups. Fasting blood glucose and fasting insulin were measured, and homeostasis model assessment of insulin resistance was calculated. Liquid chromatography-tandem mass spectrometry was applied for metabonomic analysis. Multiple linear regression analysis and correlation analysis explored the relationships between obesity, IR, and metabolites. Random forests were used to rank the importance of differential metabolites, and relative operating characteristic curves were used for prediction.

RESULTS

A total of 88 normal-weight children and 171 obese/overweight children participated in the study. There was a significant difference between the two groups in 30 metabolites. Childhood obesity was significantly associated with 10 amino acid metabolites and 20 fatty acid metabolites. There were 12 metabolites significantly correlated with IR. The ranking of metabolites in random forest showed that glutamine, tyrosine, and alanine were important in amino acids, and pyruvic-ox-2, ethylmalonic-2, and phenyllactic-2 were important in fatty acids. The area under the curve of body mass index standard deviation  score (BMI-SDS) combined with key amino acid metabolites and fatty acid metabolites for predicting IR was 80.0% and 76.6%, respectively.

CONCLUSIONS

There are common key metabolites related to IR and obese children, and these key metabolites combined with BMI-SDS could effectively predict the risk of IR.

Growth Hormone Therapy for Small for Gestational Age Short Stature Develops Type 2 Diabetes

Growth Hormone therapy has been shown to induce transient insulin resistance in children, and there is concern regarding the diabetogenic potential of GH therapy in children born small for gestational age (SGA). In this case, female patient born SGA with a weight of 2,750 g (-1.73 standard deviation (SD)) and length of 45.5 cm (-2.6 SD). The patient's father and paternal grandfather were diagnosed with type 2 diabetes mellitus. At 3 years of age, the patient presented with short stature; height and weight were 85 cm (-2.5 SD) and 13 kg (-0.19 SD), respectively. She was placed on GH therapy. At 11 years of age, her fasting blood glucose and hemoglobin A1c levels were 116 mg/dL and 7.4%, respectively. Blood test results were negative for anti-glutamic acid decarboxylase and anti-islet antigen-2 antibodies. The patient discontinued GH therapy and started diet therapy and oral metformin (500 mg/day) administration. Five months later, the hemoglobin A1c level was 5.3% and glycemic control further improved. To our knowledge, family history may be an important risk factor for GH-induced diabetes. So, the GH dosage for patients born SGA with family history of diabetes should be adjusted so as not to be too excessive, and long-term follow-up studies will be required to evaluate fully the effects of GH therapy for them.

Effects of different doses of long-acting growth hormone in treating children with growth hormone deficiency

BACKGROUND

With the improvement of economy and living standards, the attention paid to short stature in children has been increasingly highlighted. Numerous causes can lead to short stature in children, among which growth hormone deficiency (GHD) is a significant factor.

AIM

To investigate the long-term efficacy and safety of different doses of long-acting polyethylene glycol recombinant human growth hormone (PEG-rhGH) in the treatment of GHD in children.

METHODS

We selected 44 pediatric patients diagnosed with GHD who were treated at Wuhu First People's Hospital from 2014 to 2018. Total 23 patients were administered a high dose of long-acting PEG-rhGH at 0.2 mg/kg subcutaneously each week, forming the high-dose group. Meanwhile, 21 patients were given a lower dose of long-acting PEG-rhGH at 0.14 mg/kg subcutaneously each week, establishing the low-dose Group. The total treatment period was 2 years, during which we monitored the patients' height, annual growth velocity (GV), height standard deviation score (HtSDS), chronological age (CA), bone age (BA), and serum levels of insulin-like growth factor-1 (IGF-1) and insulin-like growth factor-binding protein-3 (IGFBP-3) before treatment and at 6 mo, 1 year, and 2 years after treatment initiation. We also monitored thyroid function, fasting plasma glucose, fasting insulin, and other side effects. Furthermore, we calculated the homeostatic model assessment for insulin resistance.

RESULTS

After 1 year of treatment, the GV, HtSDS, IGF-1, BA, and IGFBP-3 in both groups significantly improved compared to the pre-treatment levels (P < 0.05). Moreover, when comparing GV, HtSDS, IGF-1, BA, and IGFBP-3 between the two groups, there were no statistically significant differences either before or after the treatment (P > 0.05). During the treatment intervals of 0-1.0 years and 1.0-2.0 years, both patient groups experienced a slowdown in GV and a decline in HtSDS improvement (P < 0.05).

CONCLUSION

The use of PEG-rhGH in treating GHD patients was confirmed to be effective, with similar outcomes observed in both the high-dose group and low-dose groups, and no significant differences in the main side effects.

Association of size for gestational age and dehydroepiandrosterone sulfate with cardiometabolic risk in central precocious puberty girls

Objective

The aim of this study was to assess whether size for gestational age and dehydroepiandrosterone sulfate (DHEAS) are associated with cardiometabolic risk in central precocious puberty (CPP) girls.

Methods

The retrospective study included 443 patients with newly diagnosed CPP. Subjects were categorized by birth weight for gestational age (appropriate [AGA], small [SGA], and large [LGA] for gestational age) and serum DHEAS concentration (high [≥75th percentile] and normal [<75th percentile] DHEAS). Cardiometabolic parameters were examined. Composite cardiometabolic risk (CMR) score was calculated based on BMI, blood pressure, glucose, insulin, triglyceride, and HDL cholesterol. Non-obesity CMR score was computed, omitting the value from BMI. Logistic regression models, general linear models, and partial correlation analyses were used to evaluate associations. Propensity score matching was performed for sensitivity analyses.

Results

Overall, 309 patients (69.8%) were born AGA, 80 (18.1%) were born SGA, and 54 (12.2%) were born LGA. Compared with AGA counterparts, CPP girls born SGA were more prone to have elevated HbA1c (adjusted OR = 4.54; 95% CI, 1.43-14.42) and low HDL cholesterol (adjusted OR = 2.33; 95% CI, 1.18-4.61). In contrast, being born LGA was not associated with increased risk for any glucose or lipid derangements. Despite the fact that elevated CMR score was more common among individuals born LGA than AGA (adjusted OR = 1.84; 95% CI, 1.07-4.35), no significant difference was found on non-obesity CMR score (adjusted OR = 0.75; 95% CI, 0.30-1.88). When controlling for age, birth weight SDS, and current BMI-SDS, individuals with high DHEAS exhibited higher HDL cholesterol and apolipoprotein A-1 concentrations and lower triglyceride level and non-obesity CMR score. Furthermore, DHEAS correlated positively with HDL cholesterol and apolipoprotein A-1 and negatively with triglyceride, prominently in girls born SGA, after adjustments for the three abovementioned confounders. Sensitivity analyses corroborated the findings.

Conclusion

Among CPP girls, those born SGA were more likely to possess cardiometabolic risk factors compared to their AGA peers. The difference we observed in cardiometabolic risk between individuals born LGA and AGA was driven by BMI. High DHEAS was associated with favorable lipid profile in CPP girls, even in subjects born SGA.

Testicular volume in 268 children and adolescents followed-up for childhood obesity-a retrospective cross-sectional study

CONTEXT

Prevalence of obesity in childhood has increased over the past few decades. The impact of obesity and of obesity-related metabolic disorders on testicular growth is unknown.

OBJECTIVE

To evaluate the impact of obesity, hyperinsulinemia, and insulin resistance on testicular volume (TV) in pre-pubertal (<9 years), peri-pubertal (9-14 years), and post-pubertal (14-16 years) periods.

METHODS

We collected data on TV, age, standard deviation score (SDS) of the body mass index (BMI), insulin, and fasting glycemia in 268 children and adolescents followed-up for weight control.

RESULTS

Peri-pubertal boys with normal weight had a significantly higher TV compared to those with overweight or obesity. No difference was found in the other age ranges when data were grouped according to BMI. Pre- and post-pubertal children/adolescents with normal insulin levels had significantly higher TV compared to those with hyperinsulinemia. Peri-pubertal boys with hyperinsulinemia had significantly higher TV compared to those with normal insulin levels. Post-pubertal adolescents with insulin resistance had lower TV and peri-pubertal boys had higher TV compared to those without insulin resistance. No difference was found in pre-puberty.

CONCLUSIONS

Closer control of the body weight and the associated metabolic alterations in childhood and adolescence may maintain testicular function later in life.

Prediction of Metabolic Syndrome in U.S. Adults Using Homeostasis Model Assessment-Insulin Resistance

Background: The prevalence of obesity among U.S. adults has risen steadily over recent decades. Consequently, interest in identification of those at greatest metabolic risk necessitates the periodic assessment of underlying population characteristics. Thus, the aim of this study is to assess the efficacy of using insulin resistance (IR) as a predictor of metabolic syndrome (MetS). Methods: We performed a serial, cross-sectional analysis of nationally representative data from the National Health and Nutrition Examination Survey (NHANES). Data included nonpregnant adults who participated in NHANES between 2011 and 2018. IR was estimated using the homeostasis model assessment (HOMA). Optimal HOMA-IR cut points for MetS were identified using receiver operating characteristic curve analysis. Results: Data from 8897 participants representing 222 million individuals were analyzed. The estimated prevalence of MetS was 31.7% (n = 2958; 95% confidence interval 30.1-33.3). The optimal HOMA-IR to discriminate between individuals with and without MetS in the general population was 2.83 (sensitivity = 73.8%; specificity = 73.8%; area under the curve = 0.82). Conclusion: The HOMA-IR is a sensitive and specific method of screening for individuals with MetS. Prospective evaluation of this approach's efficacy in identifying those at risk for progression to MetS is warranted.

Nomogram model for the risk of insulin resistance in obese children and adolescents based on anthropomorphology and lipid derived indicators

OBJECTIVE

This study aims to screen for measures and lipid-derived indicators associated with insulin resistance (IR) in obese children and adolescents and develop a nomogram model for predicting the risk of insulin resistance.

METHODS

A total of 404 eligible obese children and adolescents aged 10-17 years were recruited for this study from a summer camp between 2019 and 2021. The risk factors were screened using the least absolute shrinkage and selection operator (LASSO)-logistic regression model, and a nomogram model was developed. The diagnostic value of the model was evaluated by plotting the receiver operator characteristic curve and calculating the area under the curve. Internal validation was performed using the Bootstrap method, with 1000 self-samples to evaluate the model stability. The clinical applicability of the model was assessed by plotting the clinical decision curve.

RESULTS

On the basis of the LASSO regression analysis results, three lipid-related derivatives, TG/HDL-c, TC/HDL-c, and LDL-c/HDL-c, were finally included in the IR risk prediction model. The nomogram model AUC was 0.804 (95% CI: 0.760 to 0.849). Internal validation results show a C-Index of 0.799, and the mean absolute error between the predicted and actual risks of IR was 0.015. The results of the Hosmer-Lemeshow goodness-of-fit test show a good model prediction (χ² = 9.523, P = 0.300).

CONCLUSION

Three early warning factors, TG/HDL-c, TC/HDL-c, and LDL-c/HDL-c, were screened, which can effectively predict the risk of developing IR in obese children and adolescents, and the nomogram model has an eligible diagnostic value.

The threshold value for identifying insulin resistance (HOMA-IR) in an admixed adolescent population: A hyperglycemic clamp validated study

Objective

To validate the homeostasis model assessment (HOMA) of insulin resistance (IR) as a surrogate to the hyperglycemic clamp to measure IR in both pubertal and postpubertal adolescents, and determine the HOMA-IR cutoff values for detecting IR in both pubertal stages.

Subjects and methods

The study sample comprised 80 adolescents of both sexes (aged 10-18 years; 37 pubertal), in which IR was assessed with the HOMA-IR and the hyperglycemic clamp.

Results

In the multivariable linear regression analysis, adjusted for sex, age, and waist circumference, the HOMA-IR was independently and negatively associated with the clamp-derived insulin sensitivity index in both pubertal (unstandardized coefficient - B = -0.087, 95% confidence interval [CI] = -0.135 to -0.040) and postpubertal (B = -0.101, 95% CI, -0.145 to -0.058) adolescents. Bland-Altman plots showed agreement between the predicted insulin sensitivity index and measured clamp-derived insulin sensitivity index in both pubertal stages (mean =-0.00 for pubertal and postpubertal); all P > 0.05. The HOMA-IR showed a good discriminatory power for detecting IR with an area under the receiver operator characteristic curve of 0.870 (95% CI, 0.718-0.957) in pubertal and 0.861 (95% CI, 0.721-0.947) in postpubertal adolescents; all P < 0.001. The optimal cutoff values of the HOMA-IR for detecting IR were > 3.22 (sensitivity, 85.7; 95% CI, 57.2-98.2; specificity, 82.6; 95% CI, 61.2-95.0) for pubertal and > 2.91 (sensitivity, 63.6; 95% CI, 30.8-89.1, specificity, 93.7; 95%CI, 79.2-99.2) for postpubertal adolescents.

Conclusion

The threshold value of the HOMA-IR for identifying insulin resistance was > 3.22 for pubertal and > 2.91 for postpubertal adolescents.

Resting and exercise metabolic characteristics in obese children with insulin resistance

Purpose: This study aimed to explore the characteristics of resting energy expenditure (REE) and lipid metabolism during incremental load exercise in obese children and adolescents with insulin resistance (IR) to provide evidence for exercise intervention in obese children and adolescents with IR.

Method: From July 2019 to August 2021, 195 obese children and adolescents aged 13–17 were recruited through a summer camp. The participants were divided into IR (n = 67) and no-IR (without insulin resistance, n = 128) groups and underwent morphology, blood indicators, body composition, and resting energy consumption gas metabolism tests. Thirty participants each were randomly selected from the IR and no-IR groups to carry out the incremental treadmill test.

Results: Significant metabolic differences in resting and exercise duration were found between the IR and no-IR groups. In the resting state, the resting metabolic equivalents (4.33 ± 0.94 ml/min/kg vs. 3.91 ± 0.73 ml/min/kg, p = 0.001) and REE (2464.03 ± 462.29 kcal/d vs. 2143.88 ± 380.07 kcal/d, p &lt; 0.001) in the IR group were significantly higher than in the no-IR group. During exercise, the absolute maximal fat oxidation (0.33 ± 0.07 g/min vs. 0.36 ± 0.09 g/min, p = 0.002) in the IR group was significantly lower than in the no-IR group; maximal fat oxidation intensity (130.9 ± 8.9 bpm vs. 139.9 ± 7.4 bpm, p = 0.040) was significantly lower in the IR group.

Conclusion: Significant resting and exercise metabolic differences were found between obese IR and no-IR children and adolescents. Obese IR children and adolescents have higher REE and lower maximal fat oxidation intensity than obese no-IR children and adolescents.

Peripheral insulin sensitivity predicting cognitive function in euthymic bipolar disorder patients

OBJECTIVE

High prevalence of insulin resistance (IR) has been reported in bipolar disorder (BD) patients. Importantly, impaired insulin sensitivity could modulate the course and treatment outcome in BD. Here, we hypothesized that insulin sensitivity could be potentially associated with the neurocognitive trajectory in euthymic BD. We aimed to examine differences in insulin sensitivity and executive function between BD patients and controls.

METHODS

Sixty-two patients with BD receiving mood stabilizer treatment and 62 controls, matching age, sex, and body mass index, were recruited in this study. Insulin sensitivity was estimated using the homeostasis model assessment of insulin resistance (HOMA-IR). The Wisconsin card-sorting test (WCST) was applied to test participants' ability to shift cognitive set. Group differences were measured and multivariate regression analysis was performed to examine relationships among factors.

RESULTS

The results indicated that the HOMA-IR (P = .048) value in the patients with BD were significantly higher than those in controls. With regards to executive function, the BD patients performed significantly poorer than the control subjects (P < .05). Moreover, the interaction effect between BD diagnosis and HOMA-IR value on the WCST-preservation errors was significant (P = .01), and post-hoc analyses showed that the cognitive abilities were worse in the BD patients with a higher IR than in the others groups.

CONCLUSION

Insulin sensitivity is associated with the neurocognitive performance in euthymic BD patients. Although the underlying mechanisms remain unclear, interventions to improve insulin sensitivity could potentially improve the functional outcome of BD.

Relationship between quality of life and adolescent glycolipid metabolism disorder: A cohort study

BACKGROUND

The prevalence of glucolipid metabolic disorders (GLMDs) in children and adolescents has a recognized association with cardiovascular diseases and type 2 diabetes mellitus in adulthood. Therefore, it is important to enhance our under-standing of the risk factors for GLMD in childhood and adolescence.

AIM

To explore the relationship between quality of life (QoL) and adolescent GLMD.

METHODS

This study included 1956 samples in 2019 from a cohort study established in 2014. The QoL scale and glycolipid indexes were collected during follow-up; other covariates of perinatal factors, physical measures, and socioeconomic indicators were collected and adjusted. A generalized linear regression model and logistic regression model were used to analyse the correlation between QoL and GLMD.

RESULTS

Higher scores of QoL activity opportunity, learning ability and attitude, attitude towards doing homework, and living convenience domains correlated negatively with insulin and homeostasis model assessment insulin resistance (IR) levels. Psychosocial factors, QoL satisfaction factors, and total QoL scores had significant protective effects on insulin and IR levels. Activity opportunity, learning ability and attitude, attitude towards doing homework domains of QoL, psychosocial factor, and total score of QoL correlated positively with high density lipoprotein. In addition, the attitude towards doing homework domain was a protective factor for dyslipidaemia, IR > 3, and increased fasting blood glucose; four factors, QoL and total QoL score correlated significantly negatively with IR > 3. In subgroup analyses of sex, more domains of QoL correlated with insulin and triglyceride levels, dyslipidaemia, and IR > 3 in females. Poor QoL was associated with an increased prevalence of GLMD, and the effect was more pronounced in males than in females. Measures to improve the QoL of adolescents are essential to reduce rates of GLMD.

CONCLUSION

Our study revealed that QoL scores mainly correlate negatively with the prevalence of GLMD in adolescents of the healthy population. The independent relationship between QoL and GLMD can be illustrated by adjusting for multiple covariates that may be associated with glycaemic index. In addition, among females, more QoL domains are associated with glycaemic index.

Association of plasma kynurenine pathway metabolite concentrations with metabolic health risk in prepubertal Asian children

BACKGROUND

The tryptophan-kynurenine (KYN) pathway is linked to obesity-related systemic inflammation and metabolic health. The pathway generates multiple metabolites, with little available data on their relationships to early markers of increased metabolic disease risk in children. The aim of this study was to examine the association of multiple KYN pathway metabolites with metabolic risk markers in prepubertal Asian children.

METHODS

Fasting plasma concentrations of KYN pathway metabolites were measured using liquid chromatography-tandem mass spectrometry in 8-year-old children (n = 552) from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) prospective mother-offspring cohort study. The child's weight and height were used to ascertain overweight and obesity using local body mass index (BMI)-for-age percentile charts. Body fat percentage was measured by quantitative magnetic resonance. Abdominal circumference, systolic and diastolic blood pressure, homeostatic model assessment for insulin resistance (HOMA-IR), triglyceride, and HDL-cholesterol were used for the calculation of Metabolic syndrome scores (MetS). Serum triglyceride, BMI, gamma-glutamyl transferase (GGT), and abdominal circumference were used in the calculation of the Fatty liver index (FLI). Associations were examined using multivariable regression analyses.

RESULTS

In overweight or obese children (n = 93; 16.9% of the cohort), all KYN pathway metabolites were significantly increased, relative to normal weight children. KYN, kynurenic acid (KA), xanthurenic acid (XA), hydroxyanthranilic acid (HAA) and quinolinic acid (QA) all showed significant positive associations with body fat percentage (B(95% CI) = 0.32 (0.22,0.42) for QA), HOMA-IR (B(95% CI) = 0.25 (0.16,0.34) for QA), and systolic blood pressure (B(95% CI) = 0.14(0.06,0.22) for QA). All KYN metabolites except 3-hydroxykynurenine (HK) significantly correlated with MetS (B (95% CI) = 0.29 (0.21,0.37) for QA), and FLI (B (95% CI) = 0.30 (0.21,0.39) for QA).

CONCLUSIONS

Higher plasma concentrations of KYN pathway metabolites are associated with obesity and with increased risk for metabolic syndrome and fatty liver in prepubertal Asian children.

The effects of diet quality and dietary acid load on insulin resistance in overweight children and adolescents

INTRODUCTION

This study aimed to investigate the association of diet quality (DQ) and dietary acid load (DAL) with insulin resistance (IR) in overweight children and adolescents.

MATERIALS AND METHODS

The study was conducted on 135 overweight participants aged 6-17 years. DQ was assessed using the Healthy Eating Index 2015 (HEI-2015) and the HEI-2015-TUBER, revised in accordance with the Turkey Dietary Guidelines (TUBER). Estimation of DAL was made calculating the potential renal acid load (PRAL) and net endogenous acid production (NEAP) scores.

RESULTS

The HEI-2015-TUBER score was lower in those with IR than in those without IR (p=0.021). Higher PRAL and NEAP scores were found in those with IR (p=0.060 and p=0.044, respectively). Moreover, a one-unit increase in the HEI-2015-TUBER score and the DAL score was associated with a reduction of 4.2% and a rise of approximately 3% in IR risk, respectively.

CONCLUSIONS

Healthy eating habits in overweight paediatric groups may help to reduce the IR risk, improving DQ and decreasing DAL.

Effects of concurrent training on irisin and fibronectin type-III domain containing 5 (FNDC5) expression in visceral adipose tissue in type-2 diabetic rats

CONTEXT

Evidence suggests that myokines could have clinical implications for metabolic diseases such as type-2 diabetes.

OBJECTIVE

We investigated the effects of concurrent training (CT) on irisin and fibronectin type-III domain containing five (FNDC5) expressions in visceral adipose tissue (VAT) in type-2 diabetic rats.

MATERIALS AND METHODS

Eighteen male Wistar rats (ages four to eight weeks) became diabetic using nicotinamide and streptozotocin and were assigned to either a control (CON) or a CT group using a randomised block design. The CT group exercised on a motor-driven treadmill at 60 to 75 per cent of VO_2max (0% grade) for 10-40 min/day (aerobic training) and performed 10 climbs on a 1-meter ladder utilising weighted resistance of 30-100% of body mass (resistance exercise) for 5 days/week over 8 weeks. Forty-eight hours after the last training session, the VAT of rats was removed and washed. FNDC5-relative gene expression and irisin were measured by the reverse transcription polymerase chain reaction (RT-PCR) method and enzyme-linked immunosorbent assay (ELISA) kit. Additionally, insulin resistance and plasma insulin and glucose levels were determined.

RESULTS

Our findings revealed that CT significantly increased FNDC5-relative gene expression in the VAT of type-2 diabetic rats compared to controls. Furthermore, eight weeks of CT improved insulin resistance and insulin and glucose levels but did not significantly alter irisin levels in type-2 diabetic rats.

DISCUSSION AND CONCLUSION

The results of this study demonstrated that CT increased FNDC5 mRNA and improved insulin resistance, insulin, and glucose levels. Also observed were increased trends (non-significant, p = .051) in irisin levels. Hence, CT may play a role in attenuating metabolic disorders such as obesity and type-2 diabetes.

Triglyceride glucose index is superior biomarker for predicting type 2 diabetes mellitus in children and adolescents

The triglyceride-glucose (TyG) index is associated with predicting type 2 diabetes mellitus (T2DM), but its relationship with homeostatic model assessment of insulin resistance (HOMA-IR) in T2DM is not established. We aimed to investigate the role of TyG index for detection of T2DM in children and adolescents and compare it with HOMA-IR. A cross sectional study was performed in 176 overweight or obese children and adolescents with mean age of 11.34 ± 3.24 years. TyG index was calculated as ln (fasting triglyceride (TG) [mg/dL] × fasting glucose [mg/dL]/2). Of a total of 176 subjects, 57 (32%) were diagnosed with T2DM. Significant differences were observed in the TyG index between T2DM and non-T2DM (p < 0.001). The TyG index had a positive correlation with fasting glucose (r = 0.519, p < 0.001), HOMA-IR (r = 0.189, p < 0.017), HbA1c (r = 0.429, p < 0.001), total cholesterol (TC) (r = 0.257, p = 0.001), TG (r = 0.759, p < 0.001), and low-density lipoprotein cholesterol (LDL-C)(r = 0.152, p < 0.001), and a negative correlation with high-density lipoprotein cholesterol (HDL-C)(r = -0.107, p < 0.001) after controlling for sex, age and BMI standard deviation scores (SDS). In multiple regression analyses, 91.8% of the variance in TyG index was explained by age, glucose, HOMA-IR, TG, LDL-C, and HDL-C (p < 0.001). In the receiver operating characteristic (ROC) analysis, the TyG index [area under the curve (AUC) 0.839)] showed a better performance compared to HOMA-IR (AUC 0.645) in identifying patients with T2DM (p < 0.001). In conclusion, the TyG index had significant association with insulin resistance in T2DM and was superior to HOMA-IR in predicting T2DM in children and adolescents.

Growth hormone treatment does not to lead to insulin resistance nor excessive rise in IGF-1 levels, while improving height in patients small for gestational age A long-term observational study

OBJECTIVE

In children born small for gestational age (SGA), the relationship between growth hormone (GH) treatment and insulin resistance (IR) has only been investigated for a short period, necessitating a longer observation period. This study aimed to evaluate the long-term (10 years) effect of GH to SGA-children on IR and safety during treatment.

DESIGN

This was a multicenter observational study.

PATIENTS

SGA-children who received GH treatment in Spain (stratified by Tanner-stage and age at GH onset [two groups: ≤6 years old or >6 years old]).

MEASUREMENTS

The analysed variables (yearly measures) included auxologic, metabolic (insulin-like growth factor-1 (IGF-1), height velocity [HV], weight and homeostatic model assessment-IR [HOMA-IR]) and safety data. Data were collected prospectively (since the study approval: 2007) and retrospectively (since the initiation of GH treatment: 2005-2007).

RESULTS

A total of 389 SGA children (369 Tanner-I) were recruited from 27 centres. The mean age (standard deviation) of the children at GH treatment onset was 7.2 (2.8) years old. IGF-1 (standard deviation score [SDS]) and HOMA-IR values tended to increase until the sixth year of GH-treatment, with significant differences being observed only during the first year, while these remained stable in the later years (within normal ranges). Height (SDS) increased significantly (basal: -3.0; tenth year: -1.13), and the maximum HV (SDS) occurred during the first year (2.75 ± 2.39).

CONCLUSIONS

HOMA-IR values increased significantly in SGA-children during the first year of GH-treatment, remained stable and were within normal ranges in all cases. Our 10-year data suggests that long-term GH treatment does not promote IR and is well-tolerated, safe and effective.

Extreme Birth Weight and Metabolic Syndrome in Children

Small and large birth weights (BWs) for gestational age (GA) represent extremes, but the correlation between extreme BW and metabolic syndrome (MetS) has not been fully elucidated. In this study, we examined this correlation in obese children based on changes in their metabolic profile from childhood to adolescence. A retrospective observational study was performed on 535 obese patients aged 0–18 years in the Clinical and Emergency Hospital for Children “Louis Turcanu” in Timisoara, Romania, based on clinical and biological data from January 2015 to December 2019. We emphasized the links between extreme BW and obesity, extreme BW and cardiometabolic risk, obesity and cardiometabolic risk, and extreme BW, obesity and MetS. Children born large for gestational age (LGA) predominated over those born small for gestational age (SGA). Our findings showed that BW has an independent effect on triglycerides and insulin resistance, whereas obesity had a direct influence on hypertension, impaired glucose metabolism and hypertriglyceridemia. The influences of BW and obesity on the development of MetS and its components are difficult to separate; therefore, large prospective studies in normal-weight patients are needed.

Prevalence and clinical characteristics of metabolically healthy obese versus metabolically unhealthy obese school children

INTRODUCTION

Children with obesity in the absence of traditional cardiometabolic risk factors (CRF) have been described as metabolically healthy obese (MHO). Children with MHO phenotype has a favorable metabolic profile with normal glucose metabolism, lipids, and blood pressure compared to children with metabolically unhealthy obese (MUO) phenotype. This study aimed to compare several parameters related to obesity between these two groups and to examine the predictors associated with the MHO phenotype.

METHODS

This study included a cross-sectional baseline data of 193 children with obesity (BMI z-score > +2 SD) aged 8-16 years enrolled in MyBFF@school program, a school-based intervention study conducted between January and December 2014. Metabolic status was defined based on the 2018 consensus-based criteria with MHO children had no CRF (HDL-cholesterol > 1.03 mmol/L, triglycerides ≤ 1.7 mmol/L, systolic and diastolic blood pressure ≤ 90^th percentile, and fasting plasma glucose ≤ 5.6 mmol/L). Those that did not meet one or more of the above criteria were classified as children with MUO phenotype.

RESULTS

The prevalence of MHO was 30.1% (95% CI 23.7 - 37.1) among schoolchildren with obesity and more common in younger and prepubertal children. Compared to MUO, children with MHO phenotype had significantly lower BMI, lower waist circumference, lower uric acid, higher adiponectin, and higher apolipoprotein A-1 levels (p < 0.01). Multivariate logistic regression showed that adiponectin (OR: 1.33, 95% CI 1.05 - 1.68) and apolipoprotein A-1 (OR: 1.02, 95% CI 1.01 - 1.03) were independent predictors for MHO phenotype in this population.

CONCLUSIONS

MHO phenotype was more common in younger and prepubertal children with obesity. Higher serum levels of adiponectin and apolipoprotein A-1 increased the possibility of schoolchildren with obesity to be classified into MHO phenotype.

Impact of Insulin Resistance on Cardiometabolic Risk Factors and an Anthropometry-Based Predictive Nomogram for Insulin Resistance Among Adolescents in China

OBJECTIVE

We aimed to investigate the impact of insulin resistance (IR), as determined by the homeostasis model assessment of insulin resistance (HOMA-IR), on cardiometabolic risk factors (CMRFs), and develop an anthropometry-based predictive nomogram for IR among adolescents in China.

DESIGN

Data were acquired from a cross-sectional study with a stratified cluster sampling method, conducted among adolescents in Northeast China.

PARTICIPANTS

A total of 882 adolescents (aged 12-16 years, 468 boys) were included.

MEASUREMENTS

All participants underwent anthropometric and biochemical examinations. The thresholds of IR included the 90th percentile of the HOMA-IR for adolescents with a normal body mass index (BMI) and fasting plasma glucose (FPG) level within each sex group (Cutoff A), and the 75th percentile for all participants of the same sex (Cutoff B).

RESULTS

The HOMA-IR was associated with CMRFs. IR, as defined by both cutoffs A and B, was significantly associated with most CMRFs, except decreased HDL-C levels. Excellent concordance (κ = 0.825) was found between these two criteria in diagnosing IR. However, IR using cutoff A, was more closely associated with cardiometabolic risk. The incidence of IR, as defined by cutoff A, was 18.93% and increased from 10.99% to 43.87% based on the different BMI categories. Further, an anthropometry-based predictive model for IR, incorporating sex, age, waist-to-hip ratio, weight and BMI, was developed and presented as a nomogram.

CONCLUSIONS

IR among adolescents is strongly related to cardiometabolic risk. We developed an anthropometry-based predictive nomogram for IR among adolescents, which may facilitate health counselling and self-risk assessments.

The Determinants of Adolescent Glycolipid Metabolism Disorder: A Cohort Study

BACKGROUND

The increased prevalence of glycolipid metabolism disorders (GLMD) in childhood and adolescents has a well-established association with adult type 2 diabetes and cardiovascular diseases; therefore, determinants of GLMD need to be evaluated during this period.

OBJECTIVES

To explore the prevalence of and risk factors for GLMD from the prenatal period through childhood and adolescence.

METHODS

A bidirectional cohort study which was established in 2014 and followed between March 1 and July 20, 2019, was used to illustrate the impact factors for GLMD. Stratified cluster sampling in urban-rural areas was used to include subjects from four communities in Chongqing. 2808 healthy children aged between 6 and 9 years in 2014 entered the cohort in 2014 and followed in 2019 with a follow-up rate of 70%. 2,136 samples (aged 11.68 ± 0.60 years) were included.

RESULTS

The prevalence rates of insulin resistance (IR), prediabetes/diabetes, and dyslipidemia were 21.02%, 7.19%, and 21.61%, respectively. Subjects with an urban residence, no pubertal development, dyslipidemia in 2014, higher family income, and higher parental education had significantly elevated fasting insulin (FI) or homeostasis model assessment of insulin resistance (HOMA-IR) levels; subjects with female sex, no pubertal development, dyslipidemia in 2014, obesity, gestational hypertension, maternal weight gain above Institute of Medicine guidelines, and single parents had increased triglyceride or triglyceride/high-density lipoprotein (HDL). Adolescents with rural residence had higher HbA1c level.

CONCLUSION

We observed that the prevalence of GLMD was high in childhood and adolescents, and rural-urban areas, sex, pubertal development, dyslipidemia in a younger age, maternal obesity, and hypertension were associated with increased GLMD risk, suggesting that implementing the community-family intervention to improve the GLMD of children is essential.

The Variation and Correlation of Serum Adiponectin, Nesfatin-1, IL-6, and TNF-α Levels in Prediabetes

BACKGROUND

The variation and correlation among adiponectin, nesfatin-1, tumor necrosis factor α (TNF-α), and interleukin 6 (IL-6), which may be involved in the development of the decline of health into prediabetes and diabetes, have not been elucidated. This study aims to investigate the roles of these cytokines in this process.

METHODS

Seventy-two type 2 diabetes mellitus (T2DM) patients, 75 prediabetics, and 72 healthy individuals were enrolled in our case control study. Serum adiponectin, nesfatin-1, TNF-α, and IL-6 were tested with appropriate kits, and primary data were analyzed with correct methods.

RESULTS

Serum levels of each cytokine in patients with prediabetes were between T2DM and the healthy, and significant differences were found among them. TNF-α and nesfatin-1 levels in T2DM were obviously different compared to prediabetes or the healthy; IL-6 and adiponectin levels in the healthy group were significantly changed in contrast to prediabetes or T2DM. Correlation analysis found that in prediabetics, adiponectin was positively correlated with TNF-α (R = 0.2939, P = 0.0105) and IL-6 (R = 0.3918, P = 0.0005), and their relationship was greatly strengthened in prediabetes accompanied by insulin resistance (TNF-α: R = 0.7732, P < 0.0001, IL-6: R = 0.6663, P = 0.0005). We also demonstrated that declined adiponectin (OR = 6.238, P = 0.019) and nesfatin-1 (OR = 2.812, P = 0.01) and elevated TNF-α (OR = 5.541, P = 0.001) were risk factors for prediabetes toward diabetes.

CONCLUSIONS

This research proved significant variations of adiponectin, nesfatin-1, IL-6, and TNF-α levels in the healthy, prediabetics, and T2DM, suggesting a slow and gradual change during the progression from a healthy condition toward diabetes via prediabetes.

Simple Method to Predict Insulin Resistance in Children Aged 6-12 Years by Using Machine Learning

BACKGROUND

Due to the increasing insulin resistance (IR) in childhood, rates of diabetes and cardiovascular disease may rise in the future and seriously threaten the healthy development of children. Finding an easy way to predict IR in children can help pediatricians to identify these children in time and intervene appropriately, which is particularly important for practitioners in primary health care.

PATIENTS AND METHODS

Seventeen features from 503 children 6-12 years old were collected. We defined IR by HOMA-IR greater than 3.0, thus classifying children with IR and those without IR. Data were preprocessed by multivariate imputation and oversampling to resolve missing values and data imbalances; then, recursive feature elimination was applied to further select features of interest, and 5 machine learning methods-namely, logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost), and gradient boosting with categorical features support (CatBoost)-were used for model training. We tested the trained models on an external test set containing information from 133 children, from which performance metrics were extracted and the optimal model was selected.

RESULTS

After feature selection, the numbers of chosen features for the LR, SVM, RF, XGBoost, and CatBoost models were 6, 9, 10, 14, and 6, respectively. Among them, glucose, waist circumference, and age were chosen as predictors by most of the models. Finally, all 5 models achieved good performance on the external test set. Both XGBoost and CatBoost had the same AUC (0.85), which was highest among those of all models. Their accuracy, sensitivity, precision, and F1 scores were also close, but the specificity of XGBoost reached 0.79, which was significantly higher than that of CatBoost, so XGBoost was chosen as the optimal model.

CONCLUSION

The model developed herein has a good predictive ability for IR in children 6-12 years old and can be clinically applied to help pediatricians identify children with IR in a simple and inexpensive way.

A population-based study of TyG index distribution and its relationship to cardiometabolic risk factors in children and adolescents

The purpose of this study was to present age- and sex-specific distributions of the triglyceride-glucose (TyG) index and to evaluate their relationship with cardiometabolic risk factors in children and adolescents. A total of 7404 participants aged 10-18 years from the Korean National Health and Nutrition Survey were included as the reference population. The TyG index was calculated as ln(fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). The percentile of the TyG index exhibited a steady linear relationship with age for both sexes. TyG index significantly correlated with waist circumference (WC) standard deviation score (SDS; r = 0.110, p < 0.001), systolic blood pressure (SBP; r = 0.104, p < 0.001), diastolic blood pressure (DBP; r = 0.083, p < 0.001), glucose (r = 0.220, p < 0.001), high-density lipoprotein cholesterol (HDL-C; r = - 0.325, p < 0.001), and triglycerides (TG; r = 0.926, p < 0.001). Multiple linear regression analysis revealed that the TyG index was significantly associated with WC SDS (β = 0.116, p < 0.001), SBP (β = 2.009, p < 0.001), DBP (β = 1.464, p < 0.001), glucose (β = 3.376, p < 0.001), HDL-C (β =  - 6.431, p < 0.001), and TG (β = 85.518, p < 0.001). Our results suggest that the TyG index has a steady linear distribution for sex and age in children and adolescents and constitutes an indicator for predicting metabolic disorders that could lead to cardiovascular disease later in life.

Abnormal glucose metabolism is associated with clinical symptoms of adolescent-onset patients with first-episode drug-naive schizophrenia

Extensive studies have reported alterations in glucose metabolism in adult-onset patients with schizophrenia, but less attention has been paid to adolescent-onset patients with first-episode drug-naive (FEDN) schizophrenia. The purpose of this study was to compare glucose metabolism between adolescent-onset patients with FEDN schizophrenia and healthy controls and to investigate the relationship between glucose metabolism and clinical symptoms in patients with schizophrenia. This study compared the glycometabolism parameters between 51 adolescents-onset patients with FEDN schizophrenia and 51 age- and sex-matched healthy controls. The Chinese version of the Positive and Negative Syndrome Scale (PANSS), Hamilton Anxiety Rating Scale, and Hamilton Depression Rating Scale were used to assess patients' psychiatric, anxiety, and depressive symptoms. The results showed that compared with healthy controls, the patients had a significantly higher prevalence of impaired fasting glucose and insulin resistance, as well as higher fasting plasma glucose, fasting plasma insulin, homeostasis model assessment of insulin resistance index (HOMA-IR) and triglycerides, but lower high-density lipoprotein cholesterol levels. Moreover, HOMA-IR was negatively associated with PANSS general psychopathology, while glucose was positively correlated with depressive symptoms among patients. In sum, adolescent-onset patients with FEDN schizophrenia are more likely to have abnormal glucose metabolism and dyslipidemia than their healthy counterparts. Moreover, abnormal glucose metabolism may be closely related to the psychopathological symptoms of schizophrenia in the early stage of the disease.

Prevalence of Insulin Resistance in Urban Indian School Children Who Are Overweight/Obese: A Cross-Sectional Study

Background: Limited data are available for insulin resistance (IR) in over-weight/obese children from the Indian subcontinent. Identifying predictors of IR in this population is important, as they may be used as a screening tool for future metabolic complications.

Materials and Methods: This school-based cross-sectional study was conducted in an Eastern Indian city. Anthropometry and blood pressure measurements were carried out as per the published guidelines. Venous blood samples were taken in a fasting state to measure plasma glucose, insulin, and lipid profile. IR was measured quantitatively by a homeostatic model of assessment (HOMA-IR).

Results: A total of 545 (28.2%) children who were overweight or obese were included. The male:female ratio was 1:1.27. The overall prevalence of metabolic syndrome (MS) in these children was 21.8%. Around 32.3% of children had HOMA-IR of ≥2.5, and 22.2% had HOMA-IR of ≥3.16. The mean HOMA-IR in children with MS was 5.46 compared to 2.18 in those without MS. An increased risk of IR with low HDL, high triglyceride, increased waist circumference, and increased BP (both systolic and diastolic) was found. This means that insulin resistance was more common in children who were overweight or obesity and had underlying MS.

Conclusions: The present school-based study found a high prevalence of insulin resistance among children who were overweight or obese. This could predict an increased risk of future adverse cardio-vascular events in the studied children. The findings of this study would help in planning and implementing primary prevention programs targeting weight management and lifestyle change in schoolchildren.

Optimal Threshold of Homeostasis Model Assessment of Insulin Resistance to Identify Metabolic Syndrome in a Chinese Population Aged 45 Years or Younger

BACKGROUND

Metabolic syndrome (MetS) is regarded as a major risk factor for diabetes mellitus and cardiovascular disease (CVD). The optimal threshold of the homeostasis model assessment of insulin resistance (HOMA-IR) has been established for predicting MetS in diverse populations and for different ages. This study assessed the serum HOMA-IR level in a healthy Chinese population aged ≤45 years to determine its relationship with metabolic abnormalities.

METHODS

Cross-sectional study data were collected from health checkup records of Chinese adults aged ≥18 years between 2013 and 2016 at Xiamen Chang Gung Hospital. Participants completed a standardized questionnaire, which was followed by a health examination and blood sample collection. Exclusion criteria were as follows: history of known CVDs; liver, kidney, or endocrine diseases or recent acute illness; hypertension; hyperlipidemia; and pregnancy or lactation.

RESULTS

The clinical and laboratory characteristics of 5954 men and 4185 women were analyzed. Significant differences were observed in all assessed variables (all P < 0.05). The optimal cutoff point of HOMA-IR for predicting MetS was 1.7 in men and 1.78 in women.

CONCLUSIONS

We aimed to determine the optimal cutoff point of HOMA-IR for predicting MetS in a healthy Chinese population aged ≤45 years. The findings of this study would provide an evidence-based threshold for evaluating metabolic syndromes and further implementing primary prevention programs, such as lifestyle changes in the target population.

Umbilical Cord Blood Adiponectin, Leptin, Insulin, and Ghrelin in Premature Infants and Their Association With Birth Outcomes

BACKGROUND

Premature/low-birth-weight infants are at significant risk of metabolic diseases in adulthood, which may be related to the levels of fetal adipokine. Here, we investigated the differences in the levels of umbilical cord blood adiponectin, leptin, insulin, and ghrelin in preterm and term infants and sought to elucidate the link between these hormones and fetal growth. We also evaluated the interrelationship among these metabolic hormones in both groups of newborns.

METHODS

A total of 149 mother-infant pairs (100 in the preterm group and 49 in the term group) were enrolled in the study. The preterm group was further subdivided according to birth weight (≤1,500, 1,501-2,000, 2,001-2,500, and >2,500 g), gestational age (<34 vs. ≥34 weeks), and appropriate for gestational age (AGA) vs. small for gestational age (SGA). The general condition of the mothers and the growth parameters of the newborns at birth were recorded.

RESULTS

The levels of adiponectin, leptin, and ghrelin were lower in the preterm group than those in the term group (p < 0.05). In the preterm group, the leptin levels of infants with gestational age ≥34 weeks were significantly higher than those of infants with gestational age <34 weeks (mean ln leptin = 0.63 vs. 0.36 ng/ml, p = 0.009). The levels of adiponectin were lower in the SGA group than those in the AGA group (mean ln adiponectin = 2.26 vs. 2.84 µg/ml, p = 0.001), whereas those of ghrelin displayed the opposite trend (mean ln ghrelin = 6.29 vs. 5.71 pg/ml, p < 0.001). Leptin was significantly correlated with insulin both in preterm infants with birth weight (BW) >2,000 g and in term infants. Umbilical cord blood leptin was positively correlated with the BW, birth length, and head circumference of newborns (r = 0.460, 0.311, and 0.310, respectively, all p < 0.05), whereas ghrelin was negatively correlated with the same parameters (r = -0.372, -0.415, and -0.373, respectively, all p > 0.05).

CONCLUSIONS

The lack of maturation of adipose tissue and the gastrointestinal tract by the fetus due to prematurity is associated with changes in the levels of cord blood adiponectin, leptin, and ghrelin. The dysregulation of these hormones in preterm infants may be a risk factor for fetal growth and future metabolic diseases.

Prevalence of Metabolic Syndrome and Impaired Glucose Metabolism among 10- to 17-Year-Old Overweight and Obese Lithuanian Children and Adolescents

BACKGROUND

Overweight (Ow) and obesity among adults and children increases the risk of metabolic consequences. Metabolic syndrome (MS) and impaired glucose metabolism are well-known risk factors for cardiovascular diseases and type 2 diabetes. The aim of this study was to evaluate the prevalence of MS and impaired glucose metabolism among Ow and obese (Ob) children and adolescents (aged 10-17 years) in Lithuania, and to evaluate the associations between insulin resistance (IR) indices and anthropometric parameters as well as metabolic disturbances.

METHODS

The study population consisted of 344 OwOb children and adolescents of all pubertal stages. Oral glucose tolerance tests (OGTTs), IR and β cell function indices, lipid profile, and anthropometric parameters of all subjects were analyzed. MS was defined according to the International Diabetes Federation consensus guidelines.

RESULTS

MS was found in 21.3% of the OwOb children and adolescents, and 12.1% had impaired glucose metabolism (6.9% with impaired fasting glucose, 4.5% with impaired glucose tolerance, and 0.6% with type 2 diabetes). IR was directly related to body mass index and waist circumference, waist-to-height and waist-to-hip ratios, and sum of skin-fold thicknesses. Children with MS were more insulin-resistant, had higher odds ratio for prediabetes and had a more disturbed lipid profile than subjects without MS. Moreover, total cholesterol and low-density lipoprotein cholesterol levels were significantly lower in the more mature OwOb adolescents.

CONCLUSION

MS and lipid profile disturbances are common in OwOb children and adolescents. MS is directly associated with IR. Therefore, OwOb children and adolescents should be carefully followed up for metabolic abnormalities during late childhood as these can persist into adulthood.

Mormodica charantia L. fruit and Genistein ameliorates type 2 diabetes in rats by preventing lipid accumulation, insulin resistance and enhancing beta cell function

PURPOSE

The present study was aimed at evaluating the role of Momordica charantia L. fruit and Genistein on beta cell, insulin resistance/sensitivity and lipid profile in type 2 diabetic rats.

METHODS

Thirty-five (35) albino rats were divided into seven (7) groups of 5 rats each comprising of five (5) non-diabetic and thirty (30) diabetic rats. Groups 1 and 2 served as the normal control and diabetic control groups respectively and received distill water, groups 3 and 4 received Mormodica charantia L. at 250 mg/kg and 500 mg/kg respectively. Groups 5 and 6 received Genistein at 10 mg/kg and 20 mg/kg respectively while group 7 received Metformin at 500 mg/kg the experiment lasted for four weeks. All the rats were euthanized at the end of the fourth week.

RESULTS

Lipid profile, glucose and insulin levels were determined from the analysis of serum parameters and the histology of the pancreas. A significant reduction (p < 0.05) in blood glucose levels was noticed in rats that received Momordica charantia L. (MC) and genistein when compared with diabetic control rats. A significant decrease (p < 0.05) in cholesterol, triglyceride, low density lipoprotein (LDL) and very low density lipoprotein (VLDL) levels were also noted in rats that received MC and Genistein when compared with the diabetic control rats. MC and Genistein significantly increased (P < 0.05) serum insulin level compared to the diabetic control rats. MC and Genistein significantly decreased (p < 0.05) homeostatic model assessment-insulin resistance (HOMA-IR) level compared with the diabetic control group. Pancreas of rats that received MC and Genistein showed regenerating beta-cells.

CONCLUSION

Momordica charantia L. fruit and Genistein were able to enhance beta cell function and prevent lipid accumulation and insulin resistance in type 2 diabetic rats.

Obstructive sleep apnea and insulin resistance in children with obesity

STUDY OBJECTIVES

Because existing data investigating obstructive sleep apnea (OSA) and insulin resistance (IR) are inconsistent, we examine OSA and IR in a pediatric obesity clinic.

METHODS

Children (2-18 years) in the obesity clinic (2013-2017) undergoing polysomnography (PSG), anthropometric measurements, and fasting laboratory tests were included. Linear regression assessed OSA defined by the obstructive apnea-hypopnea index (oAHI) with the homeostatic model assessment of insulin resistance (HOMA-IR). Secondary aims assessed oxygen desaturation index (ODI) and age interactions with HOMA-IR. Logistic regression models and receiver operating characteristic analysis were performed to investigate optimal oAHI and ODI cutoffs relative to HOMA-IR ≥ 3.

RESULTS

Eighty children were included (mean age, 11.4 ± 4.0 years; 56% female; 46% Caucasian; median body mass index [BMI], 34.6 kg/m² [interquartile ratio, 29.9-40.1], median BMI z-score, 2.5 [interquartile ratio, 2.3-2.8); 46% with oAHI ≥ 5 events/h. HOMA-IR was higher in the OSA group (oAHI ≥ 5 events/h): 5 vs 3.8 (P = .034). After adjustment for sex, race, and BMI z-score, oAHI ≥ 5 events/h retained significance with HOMA-IR (P = .041). HOMA-IR increased in older children (age ≥ 12 years) when adjusting for waist circumference z-score and waist-height ratio (statistical interaction, P = .020 and .034, respectively). Receiver operating characteristic showed optimal cut points of oAHI and ODI for predicting significant IR 4.9 (area under the curve, 0.70; 95% confidence interval, 0.57-0.83; sensitivity, 0.76; specificity, 0.66) and 4.6 (area under the curve, 0.68; 95% confidence interval, 0.55-0.80; sensitivity, 0.70; specificity, 0.67), respectively.

CONCLUSIONS

In a clinic-based pediatric cohort with obesity, OSA is associated with increased IR even after adjusting for confounders including obesity defined by the BMI z-score. Age ≥ 12 years was associated with AHI relative to IR after adjustment for waist circumference z-score and waist-height ratio. Significant IR could be discriminated by oAHI ≥ 4.9 with moderate sensitivity/specificity. Future studies are needed to verify these findings.

Associations of appetitive behaviors in 7-year-old children with their cardiometabolic health at 10 years of age

BACKGROUND AND AIMS

Atherosclerosis begins early in life, thus optimal cardiovascular health needs to be promoted early. We investigated whether appetitive behaviors among 7 year olds are associated with their cardiometabolic health years later.

METHODS AND RESULTS

A sample of 2951 children from a Portuguese birth cohort was analyzed. The Children's Eating Behavior Questionnaire assessed eating behaviors, and a measure of cardiometabolic risk (higher risk group: those in the upper quartile of triglycerides, homeostatic model assessment-insulin resistance, waist circumference and systolic blood pressure and in the lower quartile of high-density lipoprotein cholesterol z-scores) was created. Linear and logistic regressions were run. Children with more food avoidant behaviors had lower cardiometabolic risk (Satiety Responsiveness - boys: OR = 0.39, 95% CI 0.16; 0.93, girls: OR=0.37, 95% CI 0.17; 0.82 and Slowness in eating - boys: OR = 0.49, 95% CI 0.25; 0.95, girls: OR = 0.49, 95% CI 0.27; 0.91). Food approach behaviors (Food responsiveness (CEBQ-FR), Enjoyment of food (CEBQ-EF) and Emotional overeating (CEBQ-EOE)) increased cardiometabolic risks (e.g. CEBQ-FR: boys: OR = 2.50, 95% CI 1.45; 4.32, girls: OR = 2.33, 95% CI 1.46; 3.71). CEBQ-EF had stronger effects in boys, while CEBQ-EOE was positively associated with cardiometabolic risk among girls. When adjusting for BMIz at 7y, associations did not remain significant. Appetitive behaviors were also associated with isolated cardiometabolic parameters; the strongest association being with waist circumference.

CONCLUSIONS

Appetitive behaviors at 7-years are associated with cardiometabolic risk at age 10. While 'food avoidant' behaviors protect against cardiometabolic risk and 'food approach' behaviors increase cardiometabolic risk, these associations are largely dependent of child's adiposity.

Early development of decreased β-cell insulin secretion in children and adolescents with hemoglobin H disease and its relationship with levels of anemia

BACKGROUND

Diabetes mellitus (DM) associated with iron overload has been reported among adults with transfusion-dependent thalassemia and those with non-transfusion-dependent thalassemia (NTDT), especially in β-thalassemia disease. However, little is known about glucose metabolism and how early its dysregulation can develop in α-thalassemia hemoglobin H (Hb H) disease, which is one of the most common types of NTDT worldwide.

PROCEDURE

We prospectively calculated glucose metabolism index in 40 patients (aged 10-25 years) with Hb H disease. Glucose metabolism data were compared between patients with deletional versus nondeletional Hb H, and between patients with normal versus abnormal insulin secretion/sensitivity.

RESULTS

Despite normal glucose tolerance in all patients, 52.5% had abnormal insulinogenic index indicating decreased β-cell insulin secretion. Patients with functional hemoglobin < 8 g/dL had significantly higher percentages of abnormal insulinogenic index. There was no significant difference in abnormal insulinogenic index between deletional and nondeletional Hb H.

CONCLUSION

Decreased β-cell insulin secretion is highly prevalent among children and adolescents with Hb H disease, and it is associated with levels of functional anemia at baseline, but not with the type of Hb H disease. This result warrants heightened awareness among hematologists due to potentially increased risk of DM later in life.

Metabolic Syndrome and Insulin Resistance in Schoolchildren From a Developing Country

Background: Overweight and obesity are prevalent in schoolchildren due to dietary habits and lack of exercise. These children are prone to metabolic syndrome (MS) and future risk of type 2 diabetes mellitus and cardiovascular diseases.

Materials and Methods: This cross-sectional study was conducted in Bhubaneswar City, Eastern India, among schoolchildren. Obesity and overweight were determined by the Indian Academy of Pediatrics guideline. Fasting venous blood samples were taken for insulin, blood glucose, and lipid levels measurement. Blood pressure was measured as per the protocol. The International Diabetic Federation (IDF) criteria for the definition of MS were followed. Insulin resistance was determined by a homeostatic model assessment (HOMA-IR).

Results: A total of 1,930 children were screened, of which 545 (28.2%) were overweight and obese. The male to female ratio was 1.27. The overall prevalence of MS was 21.8% (11% in 6 to ≤10 years old and 30.6% in 11 to 16 years old). A history of cardiovascular disease, diabetes, obesity, and hypertension in the family was present in 42.7%. Acanthosis nigricans was present in 46.4%. A history of exclusive breast feeding for 6 months was present in 68.1%. The mean HOMA-IR in children with MS was 5.46 compared to 2.18 in those without MS (insulin resistance was more common in children with MS).

Conclusions: The present study found a higher prevalence of MS and insulin resistance in schoolchildren from Eastern India who are overweight/obese.

Proteomics analysis of potential serum biomarkers for insulin resistance in patients with polycystic ovary syndrome

The aim of the present study was to identify potential serum biomarkers for insulin resistance (IR) in patients with polycystic ovary syndrome (PCOS) by comparing the differences in serum protein expression levels between PCOS patients with and without IR. PCOS patients aged from 18 to 35 years were recruited at Guangdong Women and Children’s Hospital from January, 2013 to February, 2014. A total of 218 PCOS patients were enrolled and divided into the insulin resistance (PCOS-IR) and non-insulin resistance (PCOS-NIR) groups according to their homeostasis model assessment of insulin resistance. Two-dimensional difference gel electrophoresis (2D-DIGE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS/MS) techniques were used to identify differences in protein expression levels between the PCOS-IR and PCOS-NIR groups. The present study demonstrated that the total cholesterol (TCH), triglycerides (TG), low-density lipoprotein (LDL), fasting plasma glucose (FPG), 3-h blood glucose (3hBG) and uric acid (UA) levels in the PCOS-IR group were higher than those in the PCOS-NIR group (P<0.05). Between the PCOS-IR and PCOS-NIR groups, a total of 20 differentially expressed protein spots were detected by 2D-DIGE. Among these, 4 proteins, namely afamin, serotransferrin, complement C3 and apolipoprotein C3 (APOC3), were also identified by MALDI-TOF-MS/MS. The alteration of APOC3 was further confirmed by western blot analysis and enzyme-linked immunosorbent assay (ELISA). The present study also confirmed that the expression level of APOC3 was positively associated with the homeostasis model assessment of insulin resistance (HOMA-IR). On the whole, the data indicate that APOC3 may be a potential diagnostic marker for PCOS-IR patients.

Effects and prevalence of responders after a multicomponent intervention on cardiometabolic risk factors in children and adolescents with overweight/obesity: Action for health study

This study aimed to verify the effect of a multicomponent intervention on cardiometabolic risk factors (CMRF), and to determine the prevalence of responders on CMRF among children and adolescents with overweight/obesity. This is a quasi-experimental study, developed with 35 children and adolescents with overweight/obesity (control group (CG) = 18; intervention group (IG) = 17), aged between 7 and 13 years. Participants in IG underwent a multicomponent intervention for 12 weeks. The following variables were evaluated: anthropometric measures, maturational stages and CMRF (body fatness, HOMA-IR, triglycerides, high-density and low-density lipoprotein) (HDL-C, LDL-C), total cholesterol (TC), aspartate aminotransferase (AST), alanine aminotransferase (ALT) and AST/ALT ratio. Mixed analysis of variance and the prevalence of responders were used for statistical analysis. There was a significant time x group interaction on body fatness (p < 0.001), HOMA-IR (p = 0.01), HDL-C (p < 0.001), LDL-C (p = 0.009) and TC (p < 0.001). The prevalence of responders for CMRF in IG and CG was respectively: body fatness (47%; 0%; p = 0.04), HOMA-IR (58.8%; 16.6%; p = 0.04); triglycerides (17.6%; 5.5%; p = 0.31); HDL-C (76.4%; 5.5%; p = 0.01), LDL-C (35.3%; 5%; p = 0.08), TC (64.7%; 5%; p = 0.01), AST (5.8%; 0%; p = 0.87), ALT (29.4%; 11.1%; p = 0.24) and AST/ALT ratio (24.4%; 22.2%; p = 0.67). Multicomponent intervention induced positive changes on CMRF along with a higher prevalence of positive adaptations in IG than the CG in some of the cardiometabolic outcomes assessed.

Dietary Intake and Physical Activity in Relation to Insulin Resistance in Young Overweight Saudi Females: An Exploratory Pilot Study

Insulin resistance is a major contributor to the development of several chronic metabolic diseases, including type 2 diabetes mellitus, and is an increasing health concern in Saudi Arabia. Diet and physical activity have been postulated to affect insulin resistance; however, their effects on development of insulin resistance in young overweight Saudi females have not been explored. Therefore, the aim of the study is to investigate whether diet and physical inactivity increases the risk of insulin resistance in young overweight Saudi females. In a cross-sectional study, 42 overweight female Saudi students, aged between 20 and 30 years, were recruited from King Abdul-Aziz University. A questionnaire was used to collect demographics, anthropometric measurements, physical activity, and food frequency data. Blood biomarkers (lipid profile, fasting glucose, and fasting insulin) were measured. Insulin resistance was assessed using homeostasis model assessment 2 (HOMA2)-insulin resistance (IR) scores. A significant difference in median body mass index (BMI) was observed between the HOMA2-IR normal and HOMA2-IR raised index groups (P=0.04). In terms of dietary habits, the insulin resistant group had a higher intake of canned beverages compared with the normal group (P=0.03). No significant differences were found between the groups in terms of waist circumference, hip circumference, waist-to-hip ratio, or body fat percentage. The lipid profile also did not significantly differ between the two groups. This study demonstrates significant differences in HOMA2-IR-defined insulin resistance according to subjects’ BMI and canned beverage intake. A larger study is needed to confirm these associations.