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CTRI Number  CTRI/2021/09/036121 [Registered on: 01/09/2021] Trial Registered Prospectively
Last Modified On: 15/11/2024
Post Graduate Thesis  Yes 
Type of Trial  Interventional 
Type of Study   Nutraceutical
Other (Specify) [Nutritional Intervention]  
Study Design  Randomized, Parallel Group Trial 
Public Title of Study   Prevention & control of type 2 diabetes through genetic nutrition approach  
Scientific Title of Study   Gene-based nutritional intervention in the prevention and control of type 2 diabetes mellitus: a randomised controlled trial 
Trial Acronym  NUDGE (NUtritional intervention for Diabetic GEnes 
Secondary IDs if Any  
Secondary ID  Identifier 
12739/1TRG/PG-19/9622-23  Protocol Number 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Poonam Khanna 
Designation  Associate Professor 
Affiliation  PGIMER, Chandigarh 
Address  Department of Community Medicine and School of Public Health

Chandigarh
CHANDIGARH
160012
India 
Phone  9872534628  
Fax    
Email  poonamkhanna05@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  Mr Savitesh Kushwaha 
Designation  PhD Scholar 
Affiliation  PGIMER 
Address  PGIMER, Chandigarh

Chandigarh
CHANDIGARH
160012
India 
Phone  8700055011  
Fax    
Email  savitesh.sunny@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Mr Savitesh Kushwaha 
Designation  PhD Scholar 
Affiliation  PGIMER 
Address  PGIMER, Chandigarh

Chandigarh
CHANDIGARH
160012
India 
Phone  8700055011  
Fax    
Email  savitesh.sunny@gmail.com  
 
Source of Monetary or Material Support  
ICMR (JRF-Fellowship) 
 
Primary Sponsor  
Name  ICMR 
Address  Ansari Nagar, AIIMS, New Delhi 
Type of Sponsor  Research institution 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Prof Sanjay Bhadada  Postgraduate Institute of Medical Education and Research  Room no. - 4007, Out-Patient Clinic, Endocrine Department, New OPD
Chandigarh
CHANDIGARH 
9876602448

bhadadask@rediffmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institutional Ethics Committee  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: E119||Type 2 diabetes mellitus without complications,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Genetic Nutrition Intervention Designed for type 2 diabetic Patients  Based on genetic testing and SNP detection the tailor made diet plan will be provided to Diabetic patients. 
Comparator Agent  ICMR recommended diet plan for type 2 diabetic patients..  For placebo/Comparator group diabetic diet plan will be provided as per the recommendations of ICMR. 
 
Inclusion Criteria  
Age From  25.00 Year(s)
Age To  65.00 Year(s)
Gender  Both 
Details  -Type 2 diabetes mellitus participants who diagnosed within last 5 years (2015-2020).
-HbA1c value ≥8%.
 
 
ExclusionCriteria 
Details  -Participants having acute and chronic liver or kidney disease, severe non-proliferative diabetic retinopathy pancreatic disease, obstructive biliary disease, malabsorption, hypothyroidism, and coronary heart disease.
-Pregnant women.
-Alcohol intake (male – >29gm/day; female – >19.9gm/day) 280.
-Nicotine intake (cigarettes, bidi, cigars, chillum, chewing tobacco, hookah).
-If participating in any other study or nutritional treatment plan.
Participants unwilling to give the consent 
 
Method of Generating Random Sequence   Other 
Method of Concealment   Case Record Numbers 
Blinding/Masking   Open Label 
Primary Outcome  
Outcome  TimePoints 
Greater decrease in the FPG level among intervention group as compared to placebo group.  At Endline, 6 months 
 
Secondary Outcome  
Outcome  TimePoints 
Variation in BMI, waist circumference, waist-hip ratio, waist-height ratio, hand-grip strength, blood pressure and lipid profile among baseline and endline data.  At Endline, 6 months 
 
Target Sample Size   Total Sample Size="300"
Sample Size from India="300" 
Final Enrollment numbers achieved (Total)= "300"
Final Enrollment numbers achieved (India)="300" 
Phase of Trial   Phase 1 
Date of First Enrollment (India)   01/10/2021 
Date of Study Completion (India) 24/07/2024 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Date Missing 
Estimated Duration of Trial   Years="0"
Months="6"
Days="0" 
Recruitment Status of Trial (Global)
Modification(s)  
Not Applicable 
Recruitment Status of Trial (India)  Completed 
Publication Details   No Publication yet 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary
Modification(s)  

T2DM also known as non-insulin dependent diabetes or adult-onset diabetes is a non-autoimmune polygenic disorder in which the body fails to produce enough insulin. T2DM accounts for 90% of diabetes cases. It is an outcome of a complex environment and gene interaction. Intragenic and gene-environment interaction in T2DM is poorly understood. Environmental characteristics influence risk factors of T2DM by intensifying or restraining behavioural, psychosocial, and physical stressors. It is also reported that the physical and social environment can influence choices and behaviour. For example, nutritional choices can be heavily governed by the physical and social environment, which is an important factor for controlling diabetes.  Researchers found that the pathogenesis of T2D (type 2 diabetes) during adult life is influenced by the nutritional environment during pre- and postnatal life. Before the advent of insulin, a heavily restricted dietary intervention was used to treat diabetes and diet, or exercise intervention supposed to delay the onset of diabetes onset by 4 years.  In close association with the environment, nutrition is a crucial factor which is significantly modifying the gene expression. Nutrition is considered as the most influential environmental stimuli.

In this era, nutrigenomics and nutrigenetics are the emerging fields in nutrition science and technology. This is the study of gene-diet interaction which includes genetics and epidemiological methods to find statistical associations among genes, foods, and biological pathway, like intermediate-risk factors. For about 15 years, nutritional genomics researchers have been trying to combine genetics and epidemiology to examine how nutrition is affecting one or more risk factors. They found that nutrition has a variable impact on the genetic makeup of the individual. Gene alone not necessarily produces phenotypic traits. Phenotype is influenced by nutrition and this influence may differ among individuals. The effect of dietary response and interventions on genotype and phenotype can show significant interpersonal differences. Likewise, genotypes differ for each individual and one effective dietary pattern might not be effective for other so, determining specific diet for the specific gene or set of the genes for certain diseased condition can be an effective and natural method to treat diseases. It could be useful in both the prevention and treatment of chronic diseases by adjusting dietary intervention to subject’s unique genetic makeup. Interaction of certain nutrients with genetically determined biochemical, differences in nutritional requirement and various metabolic factors suggest specific requirements for individuals. For example, low physical activity and high adherence to Western diet amplify T2DM and this pattern is evident for PPARG, TCF7L2 and FTO gene variants. Human body metabolism process food in the form of chemicals and chemical can alter the genomic expression directly or indirectly. Further, activation of nutrient receptors guides nutrients in influencing a wide variety of specific genes.

Diabetes risk is strongly influenced by hereditary factors. There is a 40% lifetime risk for development of type 2 diabetes if one parent has T2DM and 70% if both parents have T2DM. Genome-wide scanning and Candidate gene-based approach have played a significant role in identifying potential genes causing disease. An Indian study reported 388 significant SNPs (single nucleotide polymorphism) from 58 GWAS (genome wide association studies) study. Another Indian association analysis study has confirmed 31 GWAS SNPs from 24 genes with T2DM and four intermediate traits of fasting glucose; fasting insulin; HOMA-insulin resistance (HOMA-IR); and HOMA-β. Studies also show that 45 genetic regions are associated with the putative intermediary mechanism in diabetes. A genetic method called QTL (quantitative trait locus) analysis is used to identifies different locus contributing to a complex trait. 7 QTLs are identified in response to T2DM which have logs of odds greater than 3.6. These QTLs are present on chromosome 1, 2, 3, 10, 12 and 18. TCF7L2 (Chr. 10) and PPARG (Chr. 3) genes are mostly studied among T2DM patients. These two genes confer SNPs which shows worldwide association with T2DM patients. The genetic factors determining T2DM are not uniform among ethnic groups, this complicates the genetic studies of T2DM. Prior validation of genetic factors in different ethnic groups is required to conduct a multidimensional study of T2DM.

Each gene has a different recipe for a distinct protein or combinations of protein that either modulate biological activities or participate in building structural blocks for tissues. SNPs in the gene can alter these expressions which can further lead to fluctuation in protein synthesis. After the advent of the Human Genome Project, the millions of SNPs are found to have a relation with nutrition. In the case of T2DM, PPARG and TCF7L2 SNPs is also known to be associated with nutrition. It is found that SNPs (single nucleotide polymorphism) in the human genome can alter the dietary metabolic responses and are associated with the risk factor for disease onset. SNPs analysis is an important tool for estimating the role of nutrition in diseases and risk at the molecular stage. As many polymorphisms detected to increase disease susceptibility, a better understanding of the mechanisms helps us to target for more appropriate dietary advice to the relevant population sub-groups. It can be considered in metabolic and epidemiological studies to define optimal dietary requirements.

There are several diabetes control programmes in India, but grassroot level implementation is required before it became a pandemic from endemic. India currently spending a huge part of the economy in treating diabetes and lifelong prolongation making it more difficult. According to the Association of Physician of India urban poor spend as much as 34% and their rural counterpart spend 27% of their incomes on diabetes treatment. Also, various pharmacological treatment schemes lead to improper management of diabetes in India. Side effects of drug-based approach in diabetes can be easily observed among patients. Furthermore, diabetes treatment requires a lifelong consumption of drug which can`t be affordable for every people. A robust and multidisciplinary approach is required to study the various casual factors of T2DM. Targeting gene by nutrition can be a more efficient approach to treat diabetes. This minimizes the chances of side-effects and doesn’t require extra expenditure for treatment. In addition, this approach can help in diminishing and delaying the onset of other diseases. Nutrigenetic and nutrigenomics-based intervention approach must be considered for a better outcome.

Therefore, the present study will supplement a step towards determining the nutritional influence on the two genes (TCF7L2 & PPARG) in the prevention and control of type 2 diabetes mellitus. This study initially proposes to detect the polymorphisms and provide nutritional intervention package based on wild type and risk alleles. Then the final impact of nutrition on genotype and phenotype of diabetic patients will be assessed via FPG (fasting plasma glucose) levels.

·   Null Hypothesis: - The gene-based nutritional intervention will not prevent and control type 2 diabetes.

·   Alternative Hypothesis: - The gene-based nutritional intervention will prevent and control type 2 diabetes.

 
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