Leptin levels in childhood tuberculosis and its correlation with body mass index, IFN-γ, and TNF-α in an Indonesian population.

BACKGROUND: Leptin plays a key role in the regulation of energy and inflammation in tuberculosis (TB). However, its correlation in children with TB remains unclear. Therefore, this study aimed to evaluate the correlations between body mass index, IFN-γ, TNF-α, and leptin levels in children with TB. METHODS: This was a cross-sectional study of children aged 2-14 years with TB. Sputum examination, chest radiography, and tuberculin skin test findings and clinical symptoms were considered for TB diagnosis. Data on body weight; height; mid-upper arm circumference (MUAC); body mass index (BMI); food intake; and IFN-γ, TNF-α, and leptin levels were collected and analyzed. RESULTS: Of the 64 diagnosed TB subjects, 2 subjects had positive bacteriological results. The median age was 6 (2-14) years, body weight was 17.7 (9.45-55) kg, height was 114 ± 21.46 cm, and Z score BMI was -0.85 ± 1.14 kg/m2. Malnourished was observed in 17.2% of the subjects. The median calorie intake was 1448.5 (676-4674) kcal, carbohydrate intake was 182.5 (63-558) g, protein intake was 57.9 (15.8-191.0) g, and fat intake was 81.6 (23.6-594.1) g. The median leptin level was 1.2 (0.2-59) ng/mL, IFN-γ was 2.5 (0.9-161) pg/mL, and TNF-α was 13.0 (5.7-356) pg/mL. Correlations were observed between leptin and MUAC (r = 0.251, p = 0.02), Z score (r = 0.453, p = 0.00), and IFN-γ (r = 0.295, p = 0.018). CONCLUSION: There were positive correlations between BMI and leptin levels, whereas IFN-γ and MUAC showed weak correlations.

Study of the importance of protein needs for catch-up growth in Indonesian stunted children: a narrative review.

Stunting is a chronic nutritional deficiency due to various adverse cross-sectoral environmental conditions, including food intake. This influences the linear growth and development of children's brains and their cognitive function. Providing interventions to meet stunted children's protein needs tends to prevent the further abnormal development of cognitive functions. High-protein foods are supplied from various edible local commodities in Indonesia. Therefore, this study aims to demonstrate the importance of feeding stunted children with high-protein diets and provide insight that local food ingredients in the country have growth-promoting potential. Through Google Scholar, PubMed, Science Direct, and Nature, 107 articles were obtained with keywords related to stunting, such as protein intake, catch-up growth + stunting, and adverse effect + catch-up growth. The preferred citations randomized-controlled trials and systematic reviews relevant to the study question were compiled using Mendeley version 1.19.8. Based on the literature review results, stunting is hereditary and affects the quality of generations. The adequacy of protein needs is closely related to growth and development, hence, foods containing a high amount of the nutrient facilitate catch-up growth in stunted children. This conclusion is expected to provide information to policymakers and health agencies in the country concerning the education related to high nutritional local food, which can be reached by the community. Interventions with high-protein-containing local foods ought to be tailored to dietary needs and accompanied by monitoring for the presence or absence of unreasonable weight gain to prevent overweight or obesity.

Correlation of maternal dietary intake with breast milk composition and infant growth.

Background: Maternal dietary intake during the period of lactation has an impact on infants growth. Macronutrients in breast milk are affected by several factors such as maternal dietary intake and maternal nutritional status. This study aims to prove the association between maternal protein and fat intake with the composition of breast milk and growth of infants (age 0-6 months). Methods: Prospective study was conducted for 6 months in 41 mother-infant pairs who were exclusively breastfed, and visited to hospitals or health centres. The mothers age is <40 years old with normal and single pregnancy. The breast milk was collected and analyzed using Human Milk Analyzer. Results: There was a negative correlation between maternal protein intake and breast milk composition at 3 months old infants (p = 0.042), between fat intake with HAZ score at 2 weeks (p = 0.048), and between protein intake with HAZ score at 3 months (p = 0.049). Finally, there was a significant increase in WAZ and HAZ score in all sample groups. Although the maternal protein intake of our subjects were only at 83% of Indonesian's RDA average, the protein composition of breast milk and the growth of the infants was sufficient. Conclusion: There is correlation between maternal dietary intake with the composition of breastmilk and infant growth. Even though the calories and protein intake of the mother is lower than the RDA, the breast milk is still sufficient for the growth of infants aged 0-6 months who are exclusively breastfed.

Cytochrome b-245 Alpha Chain Gene Variants and Arterial Function in Indonesian Short Stature Children.

BACKGROUND: The association between short stature, undernutrition and the risk to cardiovascular disease has been clinically established. Genetic factor, particularly the variants in cytochrome b-245 alpha chain (CYBA) gene, which alter the formation of nicotinamide adenine dinucleotide phosphate (NADPH) oxidase level, might affect arterial function. This study aimed to observe the association between single nucleotide variants (SNVs) of the CYBA gene and the arterial function of short stature children to understand the reason why some people with short stature develop cardiovascular disease. METHODS: A total of 142 genomic deoxyribonucleic acid (DNA) samples have been collected from short stature children in Brebes, Central Java, Indonesia. Four common single-nucleotide polymorphisms (SNPs): C242T (rs4673), A640G (rs1049255), -930A>G (rs9932581) and *49A>G (rs7195830) in the CYBA gene were examined using TaqMan allelic discrimination assay. The arterial function was measured using transthoracic echocardiography and described as aortic stiffness and distensibility index. Statistical analysis was done to find a significant difference in arterial function between genotypes of each SNV. RESULTS: A P-value of < 0.05 was considered significant. In rs9932581 (-930A>G) of CYBA gene, the subjects with GG genotype were found to have significantly lower arterial stiffness and higher distensibility compared to AA and AG genotypes. No significant difference was found in the other SNVs. CONCLUSION: The GG genotype in rs9932581 of the CYBA gene might have a protective effect on cardiovascular disease in short stature children.

The Relationship between Pesticide Exposure and Umbilical Serum IGF-1 Levels and Low-birth Weight: A Case-control Study in Brebes, Indonesia.

BACKGROUND: Birth weight is very important for long-term physical, mental, health, and brain development. Pesticide exposure is thought to interfere with fetal growth, among others, through disruption of the function of the insulin-like growth hormone-1 (IGF-1) hormone. OBJECTIVE: To analyze the relationship between exposure to pesticides during pregnancy and low-birth weight (LBW) through the disruption of the IGF-1 hormone. METHODS: In a case-control study, babies born with LBW (birth weight <2500 g) and those born later with normal birth weight (=2500 g) at 2 hospitals in Brebes were chosen as cases and controls, respectively. Maternal pesticide exposure was measured by interview using a questionnaire. Umbilical serum IGF-I level was tested using the ELISA method. RESULTS: There was a significant relationship between pesticide exposure during pregnancy and LBW (OR 6.8; 95% CI 2.0 to 22.9) and low umbilical serum IGF-1 levels (OR 3.6; 95% CI 1.2 to 11.1). There was a significant relationship between low umbilical serum IGF-1 levels and LBW (OR 8.9; 95% CI 2.4 to 32.1). CONCLUSION: There was a significant relationship between pesticide exposure during pregnancy and LBW through the umbilical serum IGF-1 reduction pathway.

Effect of tuberculosis treatment on leptin levels, weight gain, and percentage body fat in Indonesian children.

PURPOSE: Tuberculosis (TB) remains a problem in the community. TB patients usually experience malnutrition, which is characterized by both decreased body weight (BW) and body fat percentage (BFP). Leptin, an important regulator of BW, also plays an important role in cellular immunity, which is integral to defense against Mycobacterium tuberculosis infection. We analyzed the effect of an anti-TB treatment regimen on the leptin level, BW, and BFP of children with TB. METHODS: The design of this study was a group interrupted time series. The subjects were children with probable TB according to clinical criteria based on an Indonesian scoring system adopted from the Consensus of Expert Panel. BW; BFP; energy intake; fat and protein intake; and leptin levels before, 2 months after (intensive phase), and 6 months after (continuation phase) anti-TB treatment, were measured. About 40 children, aged 5-14 years, participated in this study. RESULTS: The BW, BFP and leptin level increased from before treatment to after completion of the intensive phase and still showed an increased during the continuation phase: BW 18.65 kg, 19.75 kg, and 20.85 kg; BFP 18.3%, 19.5%, and 20.2%; and leptin level 1.9 mg/dL, 3.07 mg/dL, and 3.4 mg/dL, respectively (P<0.01). CONCLUSION: Leptin level, BW, and BFP increased throughout the course of anti-TB treatment, compared with pretreatment values. Further research is needed to compare the results with data for healthy children.

The role of uncoupling protein 2 and 3 genes polymorphism and energy expenditure in obese Indonesian children.

AIM: Uncoupling protein (UCP) genes, which may contribute to energy metabolism in mitochondria, may be involved in the pathogenesis of obesity. We analyzed the differences in energy expenditure between single nucleotide polymorphisms (SNPs) UCP3-55C/T, UCP3 Y210Y, and UCP2 A55V among Indonesian children. METHODS: The study included 76 schoolchildren (36 obese and 40 healthy; mean age, 12.8 years) in Semarang, Indonesia. Body composition was measured by bioelectrical impedance analysis; resting energy expenditure (REE) by indirect calorimetry; physical activity by uniaxial accelerometer; and total energy expenditure (TEE) by the equations extrapolated from REE and physical activity. UCP3-55C/T, UCP3 Y210Y, and UCP2 A55V were examined by restriction length fragment polymorphism analysis. RESULTS: The TEE of the subjects with the T/T genotype at UCP3-55C/T after adjusting for fat-free mass (63.2±7.2 kcal/kg/day) and T/T at UCP2 A55V (62.8±5.6 kcal/kg/day) was lower than that of the subjects with the C/C and C/T genotypes (p<0.05). The REE of the subjects with these T/T genotypes tended to be lower than that of the subjects with C/C and C/T (p≥0.05). No significant differences in REE or TEE were found between the UCP3 Y210Y genotypes. CONCLUSIONS: The subjects with the T/T genotypes of UCP3-55C/T or UCP2 A55V had lower TEE than those with other genotypes.

Validating predictive factors for resting energy expenditure of adolescents in Indonesia.

Our objectives were to (1) compare the measured and predicted resting energy expenditure (REE) using 18 equations in normal-weight and obese adolescents, and (2) examine potential predictive factors for accurately estimating REE in obese adolescents. The subjects chosen were 41 obese and 35 normal-weight adolescents living in an urban area in Indonesia. REE was measured using indirect calorimetry and compared with predicted REE determined via 18 equations. New predictive equations were developed via stepwise multiple regression analysis. Mean differences between the predicted and measured REE were within ± 5% with 13 equations tested in normal-weight subjects, and only six equations in obese subjects. New predicted REE derived from our new equations was significantly correlated with measured REE (P < 0.0001, R(2) = 0.5-0.7). Measured REE was overestimated by existing predictive equations, especially in obese subjects. New predictive equations need to be developed that take age, climate and ethnicity into account, in addition to physical characteristics.