Evidence map›Paper›PMID 41373944›Full record

ArticleNutrients2025

Fatty Acid Optimization of Locally Produced Ready-to-Use Therapeutic Foods for the Treatment of Acute Malnutrition in Children Using Linear Programming: An Application to India and Pakistan.

Samir Ismail, Amith Umesh, Mohid Khan, Ahmed Moutwakil, Tu Nguyen, Meghana Dantuluri, Akhila Annadanam, Ayush Prasad, Melody Multra, Deepti Sudhakar and 4 more

Abstract read
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Samir IsmailCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA.
Amith UmeshThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Mohid KhanThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Ahmed MoutwakilThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Tu NguyenThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Meghana DantuluriThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Akhila AnnadanamThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Ayush PrasadThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Melody MultraCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA.
Deepti SudhakarCenter for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21218, USA.
Varun MahadevanThe Satya Nutrition Foundation, Garland, TX 75040, USA.
Gul Nawaz KhanCenter of Excellence in Women & Child Health, Aga Khan University, Karachi 74800, Pakistan.ORCID 0000-0002-2466-1693
Sajid SoofiCenter of Excellence in Women & Child Health, Aga Khan University, Karachi 74800, Pakistan.ORCID 0000-0003-4192-8406
Keith P WestBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA.ORCID 0000-0001-9458-362X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesReady-to-use therapeutic foods (RUTFs) are a common treatment for children under five years diagnosed with acute malnutrition. However, traditional RUTFs are often not locally produced, and the costs of the RUTF can be a barrier to access in India and Pakistan. Our goal was to utilize linear programming (LP) to generate an RUTF formulation based on ingredients locally available in India and Pakistan. We also aim to evaluate the effectiveness of LP in generating such a recipe that is also nutrient-optimized to promote neurocognitive recovery.

methodsThe RUTF recipe was generated by applying linear programming to a database of crop ingredients available in India, subject to nutritional constraints. The resulting formulation was produced and evaluated for nutrition content and shelf life. The efficacy of the LP tool was also evaluated based on the formulated product.

resultsWe demonstrate that the linear programming tool is largely accurate in predicting the true nutritional content of the formulation. Furthermore, the generated formulation, per 100 g, meets many global macronutrient standards for RUTFs while maintaining a predicted cost that is lower than that of industry-standard products. The conducted shelf-life study indicates the viability of the RUTF throughout an accelerated testing period. In addition, the satisfactory consideration of LA and ALA levels provides our RUTF with the potential to address concerns about low DHA levels, and thereby cognitive health, as compared to traditional RUTFs.

conclusionsWe use linear programming to generate an affordable and fatty acid-optimized RUTF based on locally available ingredients. Therefore, this formulation holds immense potential to benefit communities in India and Pakistan facing high levels of child malnutrition.

Indexed as

Child Nutrition DisordersFast FoodsFatty AcidsFood, FormulatedMalnutritionProgramming, LinearChild, PreschoolHumansIndiaInfantNutritive ValuePakistanFatty Acidslinear programmingmalnutritionneurocognitionoptimizationRUTF

Identifiers

PMID41373944
PMCPMC12694380

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.