Sringari Sahana, Vijaykumar Surabhi, Sherkane Manali, Vig Nitika, Venkatesh Megha, Gupta Suranjana, Lomore Karan, Kareenhalli Venkatesh
MetFlux Research Private Limited, Bengaluru, India.
Mondelēz International Private Limited, Thane, India.
PLoS One. 2025 Aug 25;20(8):e0318629. doi: 10.1371/journal.pone.0318629. eCollection 2025.
Nutritional deficiencies in childhood can severely impact growth, making adequate micronutrient intake essential to prevent growth faltering. This study used an in-silico modeling framework to evaluate the impact of a micro-nutrient beverage (MNB) mix on growth, body composition, and strength in 7-to-9-year-old children within the 5th to 50th growth percentiles and diverse baseline anthropometries.
The model was validated against national datasets (IAP 2015 and ICMR NIN 2024) before predicting the effects of a micro-nutrient beverage (MNB) mix on a virtual population of Indian children. The population was divided into three BMI types: Type 1 (low-normal height and weight), Type 2 (low height), and Type 3 (low height and weight), each reflecting specific nutrient deficiencies. Using a crossover study design for in-silico analysis, each BMI type underwent four experimental setups to assess the effects of the MNB mix with water (MNB-W) or milk (MNB-M). Key biochemical, anthropometric, and physical strength metrics were analyzed over simulated periods of 4, 8, and 12 months.
Both the MNB-W and MNB-M interventions significantly improved serum nutrient levels and growth parameters compared to the control group. All three BMI types exhibited notable increases in height and weight velocities, muscle mass, fat mass, and bone mineral content following the interventions. While BMI Type 3 children, who had major dietary inadequacies, showed the most pronounced improvements with the MNB-M intervention, children in BMI Types 1 and 2, with milder deficiencies, also experienced significant growth enhancements with both MNB-W and MNB-M interventions.Additionally, all BMI types showed improvements in physical strength with the MNB-M intervention, as seen in handgrip strength (HGS) and standing jump performance gains.
This in-silico study emphasized the importance of baseline nutritional status in intervention effectiveness. Results underscore the importance of multiple micronutrient intervention, especially for children with severe deficiencies, in achieving optimal growth outcomes.
儿童期的营养缺乏会严重影响生长发育,因此充足的微量营养素摄入对于防止生长发育迟缓至关重要。本研究使用计算机模拟框架,评估了一种微量营养素饮料(MNB)混合物对第5至第50生长百分位数且基线人体测量学特征多样的7至9岁儿童的生长、身体成分和力量的影响。
在预测微量营养素饮料(MNB)混合物对虚拟印度儿童群体的影响之前,该模型已根据国家数据集(IAP 2015和ICMR NIN 2024)进行了验证。该群体被分为三种BMI类型:1型(身高和体重略低正常)、2型(身高低)和3型(身高和体重低),每种类型都反映了特定的营养缺乏情况。使用交叉研究设计进行计算机模拟分析,每种BMI类型都经历了四种实验设置,以评估MNB混合物与水(MNB-W)或牛奶(MNB-M)混合的效果。在模拟的4、8和12个月期间,对关键的生化、人体测量和身体力量指标进行了分析。
与对照组相比,MNB-W和MNB-M干预均显著提高了血清营养素水平和生长参数。干预后,所有三种BMI类型的儿童在身高和体重增长速度、肌肉质量、脂肪质量和骨矿物质含量方面均有显著增加。虽然3型BMI儿童存在严重的饮食不足,在MNB-M干预下改善最为明显,但1型和2型BMI儿童的营养缺乏较轻,在MNB-W和MNB-M干预下也实现了显著的生长增强。此外,所有BMI类型的儿童在MNB-M干预下身体力量均有所改善,如握力(HGS)和立定跳远成绩的提高。
这项计算机模拟研究强调了基线营养状况对干预效果的重要性。结果强调了多种微量营养素干预的重要性,特别是对于严重缺乏的儿童,以实现最佳的生长结果。