Associations Between Serum TNF-α, IL-6, hs-CRP and GLMD in Obese Children and Adolescents: A Cross-Sectional Study.

Purpose: To explore the relationships between serum tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), high-sensitivity C-reactive protein (hs-CRP) levels and glucolipid metabolism disorders (GLMD) in obese children and adolescents. Patients and Methods: In this cross-sectional study, 105 obese children and adolescents were selected for the detection of TNF-α, IL-6, hs-CRP, and glycolipid metabolism indicators. All participants were divided into elevated TNF-α group (≥8.1 pg/mL; n=49) and normal TNF-α group (<8.1 pg/mL; n=56), elevated IL-6 group (≥5.9 pg/mL; n=13) and normal IL-6 group (<5.9 pg/mL; n=92), elevated hs-CRP group (≥3.0 mg/L; n=44) and normal hs-CRP group (<3.0 mg/L; n=61), respectively. Results: Low-density lipoprotein cholesterol (LDL-C) in the elevated TNF-α group was higher than that in the normal TNF-α group (P=0.010). TNF-α was positively correlated with LDL-C (P=0.005). Fasting insulin (FINS) and homeostasis model assessment of insulin resistance (HOMA-IR) in the elevated IL-6 group were higher than those in the normal IL-6 group (all for P <0.05), while high-density lipoprotein cholesterol (HDL-C) in the elevated IL-6 group was lower than that in the normal IL-6 group (P<0.001). IL-6 was positively correlated with FINS, 2-hour postprandial insulin, HOMA-IR and triglyceride (all for P <0.01), while was negatively correlated with HDL-C (P=0.006). Moreover, hs-CRP was positively correlated with FINS and HOMA-IR (all for P <0.05). Conclusion: There may be correlations between serum TNF-α, IL-6, hs-CRP levels and GLMD in obese children and adolescents. Attention should be paid to monitoring serum inflammatory factors and preventing their elevation in obese children and adolescents, thus reducing the occurrence of GLMD.

Sleep duration of lactating mothers and its relationship with feeding pattern, milk macronutrients and related serum factors: A combined longitudinal cohort and cross-sectional study.

Objective: Insufficient sleep is common in postpartum mothers. The main objectives of this study are to explore the sleep duration among Chinese lactating mothers and preliminarily investigate the relationship between sleep duration and feeding pattern. The secondary objectives are to investigate the relationships between sleep duration and milk macronutrients and between maternal-related indicators, including melatonin (MT), growth hormone (GH), ghrelin (GHRL), glucagon-like peptide-1 (GLP-1), prolactin (PRL), and cholecystokinin (CCK). Methods: The present study comprises a longitudinal and a cross-sectional cohort from December 2019 to December 2021. Postpartum lactating women living in Shanghai were recruited through online and offline recruitment. The subjects were included in the longitudinal cohort or cross-sectional study based on their lactation period at the time of recruitment. The longitudinal cohort included a total of 115 mothers. Human milk and feeding pattern were measured and collected at 2-4 months and 5-7 months postpartum. At four predetermined follow-up time points, data on sleep duration was collected (at the time of recruitment, 2-4 months postpartum, 5-7 months postpartum, and 12-17 months postpartum). The cross-sectional study included 35 lactating mothers (2-12 months postpartum) who reported their sleep duration and provided blood samples. Mid-infrared spectroscopy (MIRS) method was used to analyze the macronutrients of breast milk, while MT, GH, GHRL, GLP-1, PRL, and CCK in maternal blood were determined by ELISA. Results: The maternal sleep duration before pregnancy was 8.14 ± 1.18 h/d (n = 115), 7.27 ± 1.31 h/d (n = 113) for 2-4 months postpartum, 7.02 ± 1.05 h/d (n = 105) for 5-7 months postpartum, and 7.45 ± 1.05 h/d (n = 115) for 12-17 months postpartum. The incidence of insufficient sleep (<7 h/d) before pregnancy (12.17%) was significantly less than at any follow-up time after delivery (vs. 2-4 months postpartum, χ2 = 10.101, p = 0.001; vs. 5-7 months postpartum, χ2 = 15.281, p < 0.0001; vs. 12-17 months postpartum, χ2 = 6.426, p = 0.011). The percentage of insufficient maternal sleep was highest at 5-7 months postpartum (34.29%). No significant difference was found between the incidence of insufficient sleep at 5-7 months postpartum, 2-4 months postpartum (29.20%, χ2 = 0.650, p = 0.420), and 12-17 months postpartum (25.22%, χ2 = 2.168, p = 0.141). At 2-4 months postpartum, the frequency of formula feeding per day is related to reduced maternal sleep duration (Standardization coefficient ß = -0.265, p = 0.005, Adjusted R2 = 0.061). At 2-4 months and 5-7 months postpartum, the relationship between macronutrients in breast milk and the mother's sleep duration was insignificant (all p > 0.05). Other than the positive correlation found between maternal GHRL and sleep duration (r = 0.3661, p = 0.0305), no significant relationship was observed between sleep duration and other indexes (all p > 0.05). Conclusions: Postpartum mothers generally sleep less, but there is no correlation between insufficient sleep and the macronutrient content of breast milk. Formula feeding may be related to the mother's sleep loss, while breastfeeding (especially direct breastfeeding) may be related to increased maternal sleep duration. The findings suggest that sleep duration is related to maternal serum GHRL. More high-quality studies are needed to clarify the mechanism of these findings and provide a solid theoretical basis and support references for breastfeeding.

Comparing human milk macronutrients measured using analyzers based on mid-infrared spectroscopy and ultrasound and the application of machine learning in data fitting.

OBJECTIVE: Fat, carbohydrates (mainly lactose) and protein in breast milk all provide indispensable benefits for the growth of newborns. The only source of nutrition in early infancy is breast milk, so the energy of breast milk is also crucial to the growth of infants. Some macronutrients composition in human breast milk varies greatly, which could affect its nutritional fulfillment to preterm infant needs. Therefore, rapid analysis of macronutrients (including lactose, fat and protein) and milk energy in breast milk is of clinical importance. This study compared the macronutrients results of a mid-infrared (MIR) analyzer and an ultrasound-based breast milk analyzer and unified the results by machine learning. METHODS: This cross-sectional study included breastfeeding mothers aged 22-40 enrolled between November 2019 and February 2021. Breast milk samples (n = 546) were collected from 244 mothers (from Day 1 to Day 1086 postpartum). A MIR milk analyzer (BETTERREN Co., HMIR-05, SH, CHINA) and an ultrasonic milk analyzer (HonÉ¡yanÉ¡ Co,. HMA 3000, Hebei, CHINA) were used to determine the human milk macronutrient composition. A total of 465 samples completed the tests in both analyzers. The results of the ultrasonic method were mathematically converted using machine learning, while the Bland-Altman method was used to determine the limits of agreement (LOA) between the adjusted results of the ultrasonic method and MIR results. RESULTS: The MIR and ultrasonic milk analyzer results were significantly different. The protein, fat, and energy determined using the MIR method were higher than those determined by the ultrasonic method, while lactose determined by the MIR method were lower (all p < 0.05). The consistency between the measured MIR and the adjusted ultrasound values was evaluated using the Bland-Altman analysis and the scatter diagram was generated to calculate the 95% LOA. After adjustments, 93.96% protein points (436 out of 465), 94.41% fat points (439 out of 465), 95.91% lactose points (446 out of 465) and 94.62% energy points (440 out of 465) were within the LOA range. The 95% LOA of protein, fat, lactose and energy were - 0.6 to 0.6 g/dl, -0.92 to 0.92 g/dl, -0.88 to 0.88 g/dl and - 40.2 to 40.4 kj/dl, respectively and clinically acceptable. The adjusted ultrasonic results were consistent with the MIR results, and LOA results were high (close to 95%). CONCLUSIONS: While the results of the breast milk rapid analyzers using the two methods varied significantly, they could still be considered comparable after data adjustments using linear regression algorithm in machine learning. Machine learning methods can play a role in data fitting using different analyzers.

Relationship between energy intake, prognosis and related indicators in adults after cardiac, thoracic, and vascular surgery: A prospective observational study.

BACKGROUND AND OBJECTIVES: The study aimed to explore the association between energy intake (EI), the proportion of enteral nutrition intake (EN%), and prognostic-related indicators. METHODS AND STUDY DESIGN: This was a prospective observational study. Patients aged 18-80 years old, who had undergone cardiothoracic surgery, were enrolled between January 2017 and January 2018. The measured REE (mREE) was evaluated by indirect calorimetry (IC). The observational data on EI, EN% and EI/mREE% were collected following admission to ICU, ICU discharge, and prior to discharge. RESULTS: A total of 160 patients (60.6% male) were studied. The prealbumin and total protein were positively correlated with EN% at the time of ICU discharge; liver function index levels were negatively correlated with EI/mREE% at discharge (p<0.05). Multiple linear regression indicated that ALT levels as well as EI/mREE% were related to the duration of mechanical ventilation; ALT, AST, APACHE II were related to the ICU duration; EN% and EI/mREE% were related to the length of stay (LOS) following ICU discharge. EN% was related to the LOS in the hospital. CONCLUSIONS: The patients treated cardiothoracic surgery demonstrated associations of EN% with LOS in the hospital. Increased EN% and EI/mREE% were associated with higher serum protein levels and maintain normal liver function.

Resting Energy Expenditure Early after Cardiac Surgery and Validity of Predictive Equations: A Prospective Observational Study.

OBJECTIVE: Several predictive equations have been used to estimate patients' energy expenditure. The study aimed to describe the characteristics of resting energy expenditure (REE) in patients undergoing mechanical ventilation during early postoperative stage after cardiac surgery and evaluate the validity of 9 REE predictive equations. METHODS: This was a prospective observational study. Patients aged 18-80 years old, undergone open-heart surgery, were enrolled between January 2017 and 2018. The measured REE (mREE) was evaluated via indirect calorimetry (IC). The predictive resting energy expenditure (pREE) was suggested by 9 predictive equations, including Harris-Benedict (HB), HB coefficient method, Ireton-Jones, Owen, Mifflin, Liu, 25 × body weight (BW), 30 × BW, and 35 × BW. The association between mREE and pREE was assessed by Pearson's correlation, paired t test, Bland-Altman method, and the limits of agreement (LOA). RESULTS: mREE was related to gender, BMI, age, and body temperature. mREE was significantly correlated with pREE, as calculated by 9 equations (all p < 0.05). There was no significant difference between pREE and mREE, as calculated by 30 × BW kcal/kg/day (t = 0.782, p = 0.435), while significant differences were noted between mREE and pREE calculated by other equations (all p < 0.05). Taking the 30 × BW equation as a suitable candidate, most of the data points were within LOA, and the percentage was 95.6% (129/135). Considering the rationality of clinical use, accurate predictions (%) were calculated, and only 40.74% was acceptable. CONCLUSIONS: The 30 × BW equation is relatively acceptable for estimating REE in 9 predictive equations in the early stage after heart surgery. However, the IC method should be the first choice if it is feasible.

Effect of an individualised nutritional intervention on gestational diabetes mellitus prevention in a high-risk population screened by a prediction model: study protocol for a multicentre randomised controlled trial.

BACKGROUND: The ability of a preventive nutritional intervention to reduce the morbidity of gestational diabetes mellitus (GDM) remains controversial. We aim to assess whether GDM can be prevented by an individualised nutritional intervention in pregnant women who are at high risk for the disease based on a prediction model. METHODS/DESIGN: A multicentre randomised controlled trial was designed to assess the efficacy of an individualised nutritional intervention for the prevention of GDM in a high-risk population screened by a novel prediction model in the first trimester. Pregnant women evaluated to be at high risk for GDM by the prediction model at less than 14 gestational weeks will be included. Women with pre-existing chronic diseases, including pregestational diabetes, or who are currently prescribed medicines that affect glucose values will be excluded. Allocation to intervention/control at a ratio of 1:1 will be conducted by a computerized randomisation system. The intervention group will complete 3-day food records and receive 3 individualised nutritional consultations with professional dieticians before the oral glucose tolerance test. The primary intention of the intervention is to promote a long-term healthy dietary pattern and prevent excessive gestational weight gain throughout pregnancy. The control group will complete 3-day food records at designated gestational weeks and receive standard antenatal care according to local health care provisions. The primary outcome is the incidence of GDM according to the criteria of the International Association of Diabetes and Pregnancy Study Group (IADPSG). A sample of 464 participants will provide 80% power to detect a 30% reduction in GDM incidence (α = 0.05 two tailed, 10% dropout). A total of 500 participants will be recruited. DISCUSSION: To date, this is the first randomised controlled trial aimed to evaluate the protective effect of an individualised nutritional intervention against GDM based on a logistic regression prediction model. Eligibility is not limited to obese women or singleton pregnancies, as in previous studies. This pragmatic trial is expected to provide valuable information on early screening and effective GDM prevention methods. TRIAL REGISTRATION NUMBER: ChiCTR, ChiCTR1900026963 . Registered 27 October 2019.

Uric acid is associated with adiposity factors, especially with fat mass reduction during weight loss in obese children and adolescents.

BACKGROUND: Current adult studies suggest that uric acid (UA) is associated with body fat, but the relationship in obese children is unclear. Thus, we aim to evaluate the association between uric acid and body composition of obese children. METHODS: A total of 79 obese children were included in this study, and 52 children (34 boys and 18 girls) underwent a 6-week weight loss camp, including 34 boys and 18 girls. Six-week weight-loss interventions were performed on all participants through aerobic exercise and appropriate dietary control. Laboratory tests and body composition were collected before and after the intervention. RESULTS: Before the intervention, correlation analysis demonstrated that uric acid was positively correlated with height, weight, body mass index (BMI), waist circumference, hip circumference, fat mass (FM), and free fat mass (FFM) with adjusting for age and gender (P < 0.05). After 6 weeks of intervention, the participants gained 3.12 ± 0.85 cm in height, body fat percentage decreased by 7.23 ± 1.97%, and lost 10.30 ± 2.83 kg in weight. Univariate and multivariate analysis indicated that uric acid at baseline was associated with FM reduction during weight loss (P < 0.05). CONCLUSIONS: This study is the first report that uric acid is associated with BMI and FM, and may play an important role in the reduction of FM during weight loss in obese children and adolescents. The interaction between UA and adiposity factors and its underlying mechanisms need to be further explored. TRIAL REGISTRATION: This study was registered in Clinical Trials.gov (NCT03490448) and approved by the Ethics Committee of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine.

Risk factors of parenteral nutrition-associated cholestasis in very-low-birthweight infants.

AIM: We aimed to explore risk factors associated with parenteral nutrition-associated cholestasis (PNAC) in very-low-birthweight (VLBW) infants. METHODS: VLBW infants receiving parenteral nutrition (PN) for at least 14 days were enrolled in a retrospective dual-centre study and divided into two groups chronologically: group A (2000-2007) and group B (2008-2015). The incidence of PNAC and related factors were investigated. We compared the differences between PNAC and non-PNAC groups. A multivariate binary logistic regression analysis was carried out to identify the potential risk factors of PNAC. RESULTS: A total of 387 VLBW infants (53 in group A and 334 in group B) were enrolled in the study. The total incidence of PNAC was 6.7%, 9.4% in group A and 6.3% in group B. The dosage of amino acid (P = 0.009), glucose (P = 0.006), PN calories (P = 0.021) and the ratio of glucose/fat (P = 0.014) were significantly higher in group B than in group A. Non-protein energy to nitrogen ratio (P = 0.017) was lower in group B. Birthweight was significantly lower in the PNAC group than in the non-PNAC group (P = 0.021). Subgroup analysis showed that gestational age and duration of PN were significantly different between the PNAC and non-PNAC groups (P < 0.05). Logistic regression showed that prolonged duration of PN (≥43 days) (odds ratio 3.155, 95% confidence interval 1.009-9.861, P = 0.048) was an independent risk factor of PNAC. CONCLUSIONS: For VLBW infants, prolonged duration of PN is a risk factor for the development of PNAC. PNAC may be prevented by weaning off PN as early as possible in VLBW infants.

Analysis of Nutrition Support in Very Low-Birth-Weight Infants With Extrauterine Growth Restriction.

OBJECTIVE: To assess the incidence of extrauterine growth restriction (EUGR) in very low-birth-weight infants (VLBWIs) and evaluate the nutrition factors in VLBWIs associated with inadequate nutrient intakes during hospitalization. METHODS: A total of 128 VLBWIs were divided into an EUGR group (n = 87) and a non-EUGR group (n = 41). Growth and parenteral nutrition (PN) and enteral nutrition (EN) practices were analyzed. Actual energy and protein intakes were subtracted from recommended energy (120 kcal/kg/d) and protein (3.75 g/kg/d) intakes, and nutrition deficits were calculated. RESULTS: Growth restriction was 21.9% at birth and 68.0% at discharge. Compared with established guidelines, PN was started late, and the maximum amino acid intake was low in both groups. EN interruption rate was higher in the EUGR group. The average energy intake in the first day after PN termination was lower in the EUGR group. There were significant differences in actual energy and protein intakes in the 2 groups for several weeks during hospitalization. The cumulative energy and protein deficits were significantly higher in the first 8 weeks and during the third to seventh weeks in the EUGR group, respectively. Step regression analysis showed that there was a significant negative correlation between the cumulative deficit of energy and changes of weight z-scores (r = -0.001, P < .05): as the energy deficit loss increased by 100 kcal, the weight z-scores dropped by 0.1 SD. CONCLUSION: Inadequate nutrition intake aggravated the occurrence of EUGR in VLBWIs, especially the energy intake.

Retrospective Dual-Center Study of Parenteral Nutrition-Associated Cholestasis in Premature Neonates: 15 Years' Experience.

BACKGROUND: The pathogenesis of parenteral nutrition-associated cholestasis (PNAC) has not been clarified. The objective of this study was to explore the incidence of PNAC in premature infants without surgery and to identify associated risk factors. MATERIALS AND METHODS: Premature neonates who received parenteral nutrition (PN) at least 14 days were included in a retrospective, dual-center study. Cholestasis was diagnosed as conjugated bilirubin ≥2 mg/dL. Infants with metabolic liver disease, cyanotic congenital heart disease, congenital syphilis, hepadnaviridae infection, and those who underwent surgery were excluded. Infants were divided into 3 groups chronologically: group A (2000-2004, n = 50), group B (2005-2009, n = 283), and group C (2010-2014, n = 741). A case-controlled study was conducted by comparing infants with PNAC to those without PNAC. RESULTS: Of 1074 premature neonates, PNAC was confirmed in 53 infants (4.93%). There were 6.8% very low birth weight (BW) infants and 20.0% extremely low BW infants who developed PNAC. The incidence of PNAC decreased slightly during 2000-2014 (8.0%, 6.4%, and 4.2% in groups A, B, and C, respectively). Compared with those without PNAC, infants with PNAC (n = 53) had significantly younger gestational age, lower BW, longer PN duration, and higher rate of sepsis. Logistic regression showed male sex, PN duration ≥43 days, and sepsis were statistically correlated with PNAC. CONCLUSIONS: Prolonged duration (≥43 days), male sex, and sepsis are probably independent risk factors for developing PNAC in premature neonates.

Habitual Sleep Duration and Risk of Childhood Obesity: Systematic Review and Dose-response Meta-analysis of Prospective Cohort Studies.

A meta-analysis of cross-sectional studies found that shorter-time sleep was correlated with increased risk of obesity in children. However, findings from prospective cohort studies were inconsistent. PubMed and other data resources were searched through May 2015. Twenty-five eligible studies were identified including 56,584 children and adolescents with an average 3.4-year follow-up. Compared with children having the longest sleep duration (~12.2 hours), kids with the shortest sleep duration (~10.0 hours) were 76% more likely to be overweight/obese (pooled odds ratio [OR]: 1.76; 95% confidence interval [CI]: 1.39, 2.23); and had relatively larger annual BMI gain (pooled ß coefficient: 0.13; 95% CI: 0.01, 0.25 kg/m(2)). With every 1 hour/day increment in sleep duration, the risk of overweight/obesity was reduced by 21% (OR: 0.79; 95% CI: 0.70, 0.89); and the annual BMI gain declined by 0.05 kg/m(2) (ß = -0.05; 95% CI: -0.09, -0.01). The observed associations were not appreciably modified by region, baseline age or the length of follow-up. Accumulated literature indicates a modest inverse association between sleep duration and the risk of childhood overweight/obesity. Further research is needed to determine the age and gender specified optimal hours of sleep and ideal sleep pattern with respect to obesity prevention in children.

Effects of a summer program for weight management in obese children and adolescents in Shanghai.

OBJECTIVE: To investigate the effects of a combined intervention of diet and physical activity on body composition, resting energy expenditure (REE) and metabolic factors in obese children and adolescents. METHODS: Twenty obese children and adolescents aged 7 to 17 years completed a 4-week summer camp program which focussed on personal behaviour, including energy-restricted diets and supervised physical activity. Anthropometry, bioelectrical impedance, ultrasonography (US) for subcutaneous and hepatic fat, and abdominal Magnetic Resonance Imaging assessments were made and blood pressure (BP) recorded before and after the 4-week intervention. RESULTS: 1) Weight loss was 7.2 ± 2.2 kg, with losses of 5.5 ± 2.2 kg and 1.7 ± 1.2 kg in fat mass (FM) and fat free mass (FFM), respectively, with associated reductions in abdominal and hip fat and in the waist/hip circumference ratio and in BP. 2) There were no significant changes in REE or in its ratio with weight. 3) Reductions in uric acid, total cholesterol, triglycerides, LDL cholesterol, HbA1C, insulin, C-Peptide and insulin resistance (HOMA-IR) and the ratio of fatty liver were observed, but not in the inflammatory marker hsCRP. CONCLUSIONS: With behavioural intervention during a summer camp, body fat and its distribution were favourably changed, but with some loss of lean mass. However, there were no detectable reductions in REE. Weight management programs which achieve fat loss with maintenance of REE ought to be more sustainable.

Relation between serum osteocalcin levels and body composition in obese children.

Overweight and obesity may contribute to bone fractures in children; however, the mechanism involved is not clear. In this study, we assessed the relation between serum osteocalcin levels and body composition in obese children. A total of 79 children (ages 7-12 years) were recruited. Serum osteocalcin levels were negatively correlated with fat percentage and visceral fat area (r = -0.24 and r = -0.46, respectively, P < 0.05); however, no statistically significant association was found between obesity degree and serum osteocalcin levels (r = -0.29, P = 0.052). Serum osteocalcin levels were positively correlated with lean body mass, fat-free mass, and fat-free mass index (r = 0.24, 0.23, and 0.31, respectively; P < 0.05). In addition, serum osteocalcin levels were significantly lower in severely obese (44.46 ±â€Š9.73 µg/mL) and moderately obese (48.72 ±â€Š10.82 µg/mL) children than in mildly obese (55.43 ±â€Š12.4 µg/mL) and overweight (54.36 ±â€Š11.96 µg/mL) children (P = 0.02). These findings indicate that body composition is related to serum osteocalcin levels in overweight and obese children.