Unlocking weight loss potential: Investigating the impact of personalized nutrigenetic-based diet in an Indian population

Duraimani Shanthi Lakshmi; Sati Bhawna; Ahmed Khan Ghori Junaid; Selvanathan Abinaya; Saikia Katherine; Lote Ishita; Ahluwalia Geetika; Gosar Hetal; Dharmaraj Swetha; Bhatt Dhivya; Kocharekar Akshada; Salat Raunaq; Ramesh Aarthi; AR Balamurali; Ranganathan Rahul; Duraimani Shanthi Lakshmi; Sati Bhawna; Ahmed Khan Ghori Junaid; Selvanathan Abinaya; Saikia Katherine; Lote Ishita; Ahluwalia Geetika; Gosar Hetal; Dharmaraj Swetha; Bhatt Dhivya; Kocharekar Akshada; Salat Raunaq; Ramesh Aarthi; AR Balamurali; Ranganathan Rahul

doi:10.3934/molsci.2024002

AIMS Molecular Science

2024, Volume 11, Issue 1: 21-41. doi: 10.3934/molsci.2024002

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Case report

Unlocking weight loss potential: Investigating the impact of personalized nutrigenetic-based diet in an Indian population

Molecular Genetics Department, Answergenomics, Pvt Ltd, Delhi, India

Received: 10 August 2023 Revised: 06 January 2024 Accepted: 12 January 2024 Published: 26 January 2024

Obesity and its related complications have become a pressing public health issue, requiring personalized nutritional and lifestyle interventions. Nutrigenetic diets utilize genetic information to tailor dietary recommendations based on an individual's genetic variations. This case-control study aimed to evaluate the impact of a nutrigenetic diet on weight loss and clinical parameters. Three groups were included: obese individuals following a nutrigenetic diet (n = 27), obese individuals following a generic diet (n = 23), and a control group of individuals with a normal body mass index (BMI) (n = 19). Based on polygenic risk scoring, personalized diet plans were developed that considered various genetic traits such as the impact of high amounts of protein on weight loss, the impact of low amounts of carbohydrates on weight loss, the risk of a high body fat percentage, the impact of a calorie restriction on weight loss, lactose intolerance, and gluten intolerance. By assessing a subject's risk scores, a personalized diet was created. Measurements taken at baseline and after four months included weight, BMI, body fat, lean mass, fasting blood sugar levels, total cholesterol, triglycerides, thyroid-stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), and uric acid. Results showed significant differences favouring the nutrigenetic group in weight (p < 0.001), BMI (p < 0.001), and body fat percentage (p = 0.05) when compared to the control and the generic diet groups. Additionally, the nutrigenetic group exhibited significant improvements in triglycerides (p = 0.003). Moreover, the within-group effect among nutrigenetic subjects showed a significant weight reduction (p < 0.001), BMI (p < 0.001), body fat percentage (p < 0.001), fat mass (p < 0.001), fasting blood sugar level (p = 0.019), and uric acid (p = 0.042). These findings suggest that a nutrigenetic diet may yield more effective weight loss and improved clinical parameters compared to a generic diet.
- obesity,
- personalized nutrition,
- nutrigenomic-based diet,
- weight loss
Citation: Duraimani Shanthi Lakshmi, Sati Bhawna, Ahmed Khan Ghori Junaid, Selvanathan Abinaya, Saikia Katherine, Lote Ishita, Ahluwalia Geetika, Gosar Hetal, Dharmaraj Swetha, Bhatt Dhivya, Kocharekar Akshada, Salat Raunaq, Ramesh Aarthi, AR Balamurali, Ranganathan Rahul. Unlocking weight loss potential: Investigating the impact of personalized nutrigenetic-based diet in an Indian population[J]. AIMS Molecular Science, 2024, 11(1): 21-41. doi: 10.3934/molsci.2024002

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Abstract

Obesity and its related complications have become a pressing public health issue, requiring personalized nutritional and lifestyle interventions. Nutrigenetic diets utilize genetic information to tailor dietary recommendations based on an individual's genetic variations. This case-control study aimed to evaluate the impact of a nutrigenetic diet on weight loss and clinical parameters. Three groups were included: obese individuals following a nutrigenetic diet (n = 27), obese individuals following a generic diet (n = 23), and a control group of individuals with a normal body mass index (BMI) (n = 19). Based on polygenic risk scoring, personalized diet plans were developed that considered various genetic traits such as the impact of high amounts of protein on weight loss, the impact of low amounts of carbohydrates on weight loss, the risk of a high body fat percentage, the impact of a calorie restriction on weight loss, lactose intolerance, and gluten intolerance. By assessing a subject's risk scores, a personalized diet was created. Measurements taken at baseline and after four months included weight, BMI, body fat, lean mass, fasting blood sugar levels, total cholesterol, triglycerides, thyroid-stimulating hormone (TSH), triiodothyronine (T3), thyroxine (T4), and uric acid. Results showed significant differences favouring the nutrigenetic group in weight (p < 0.001), BMI (p < 0.001), and body fat percentage (p = 0.05) when compared to the control and the generic diet groups. Additionally, the nutrigenetic group exhibited significant improvements in triglycerides (p = 0.003). Moreover, the within-group effect among nutrigenetic subjects showed a significant weight reduction (p < 0.001), BMI (p < 0.001), body fat percentage (p < 0.001), fat mass (p < 0.001), fasting blood sugar level (p = 0.019), and uric acid (p = 0.042). These findings suggest that a nutrigenetic diet may yield more effective weight loss and improved clinical parameters compared to a generic diet.

Acknowledgments

I would like to express my heartfelt gratitude to all our subjects for their invaluable contributions in conducting this research. Additionally, I extend my thanks to the co-workers who assisted in data collection, formulated meal plans, and diligently monitored the participants' progress. Without their dedication and support, this study would not have been possible.

Conflict of interest

The authors declare no conflicts of interest.

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