Anoop misra
New Delhi, National Capital Territory of Delhi, 110048, India
NCT Number: NCT07302932
The incidence and prevalence of type 2 diabetes mellitus (T2DM) are increasing globally. The global prevalence of diabetes has nearly doubled since 1980, rising from 4.7% to 8.5% in the adult population. Asian Indians have one of the highest incidence rates of pre-diabetes (10.3%) and type 2 diabetes mellitus (T2DM) (8.8%) among all major ethnic groups, and the conversion from pre-diabetes to diabetes occurs more rapidly in this population.
Metformin has been shown to effectively prevent the progression of prediabetes to overt diabetes. Furthermore, metformin improves lifespan in animal models through an anti-ageing pathway driven by mTOR. Metformin has also been shown to protect endothelial cells from hyperglycaemic damage by directly stimulating the expression of Sirtuin-1 (SIRT1), a deacetylase involved in metabolism and longevity by modulating SIRT1 downstream targets FoxO1 and p53/p21. It is important to note thatSIRT1, andmammalian target of rapamycin (mTOR) form a network that connects cellular metabolism and longevity programmes.
Only one study is available which has explored the relationship of metformin with longevity. Previous study conducted a single-blind randomized placebo-controlled trial in prediabetic subjects in Italy (n, 38) who received metformin 1500mg/day (n, 19) or placebo (n, 19) for 2 months. They demonstrated that metformin use significantly increased insulin sensitivity and metabolic parameters, SIRT1 gene/protein expression, and SIRT1 promoter chromatin accessibility. They also demonstrated that metformin use increased mTOR gene expression with a concurrent decrease in p70S6K phosphorylation and altered the plasma N-glycan profile. These authors concluded that in individuals with prediabetes, metformin ameliorated effector pathways that have been shown to regulate longevity in animal models.
The investigators recently did a study on 797 prediabetic women from north India (492 of whom were obese). In this study the investigators reported that age, obesity, and subcutaneous adiposity (predominantly truncal) are the main causes of leukocyte telomere shortening. It is yet unknown how metformin impacts aging-related genes and surrogate markers of ageing in the Asian Indian population.
This clinical trial aims to evaluate the effects of metformin treatment on surrogate markers of ageing (leukocyte telomere length and telomerase activity), in the setting of pre-diabetes. We intend to compare treatment with metformin for six months, versus placebo in pre-diabetic subjects. We will assess the surrogate markers of ageing (leukocyte telomere length and telomerase activity) and the expression of longevity genes SIRT1, p66Shc, p53 and mTOR in peripheral blood mononuclear cells (PBMCs) before and after 6 months of metformin treatment.
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Notify Me30 year–60 year
All sexes
Interventional
Not applicable
New Delhi, National Capital Territory of Delhi, 110048, India
Research methodology and outcomes measures:
Randomization: Visit 1 (Day 0) Screening Diet and exercise (run in two weeks) 5
i) Gene expression by real-time PCR: Total RNA will be extracted using aRNeasy Mini Kit, (QIAGEN) cDNA and synthesized with an iScript cDNA synthesis kit (Bio-Rad, USA). Q-PCR assay will be performed in a Thermal Cycler (iCycler iQ5, Bio-Rad, Hercules, CA). Primers for Sirt1, p66Shc, p53, and mTORwill be designed from sequences derived from the GenBank database using Primer 3 (Whitehead Institute, Massachusetts, USA) and Operon's Oligo software (Operon, California, USA), purchased from Eurofins MWG (Ebersberg, Germany). The comparative threshold cycle method (ΔΔCq), which compares differences in the threshold cycle values between groups, will be used to obtain the relative fold change of gene expression.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Age: 30-60 years Both genders (male and female)
Diagnosis of pre-diabetes, defined as:
Impaired Fasting Glucose (IFG): Fasting plasma glucose 100-125 mg/dL AND/OR Impaired Glucose Tolerance (IGT): 2-hour plasma glucose 140-199 mg/dL after 75 g oral glucose tolerance test (OGTT)
IGT is mandatory (i.e., every participant must have IGT, even if IFG is also present)
Exclusion criteria
Type 1 diabetes mellitus Type 2 diabetes mellitus Pregnancy or lactation Hypoglycemia (blood glucose <70 mg/dL) after medication Acute or chronic inflammatory diseases Immunological diseases (e.g., autoimmune diseases) History of organ transplantation Current or recent steroid therapy Uncontrolled arterial hypertension Known allergy or intolerance to metformin Major surgery or cardiovascular events (e.g., myocardial infarction, stroke) within the last 3 months
A computer-generated randomization sequence will be created by an independent statistician using an unrestricted scheme. Allocation will be concealed in serially numbered, sealed, opaque envelopes held by non-study office staff.
After a two-week diet and exercise run-in period, subjects will be randomized to receive either metformin (500mg twice daily) or placebo for six months. Participants will monitor fasting and postprandial blood glucose monthly at home. Medication adherence will be tracked through daily diaries and pill counts at three-month visits.
Compliance (target ≥85%) will be maintained through biweekly phone calls (urban areas), bi-monthly home visits by health workers (rural areas), and three-monthly motivational sessions.
Other names: Placebo
Analyzed by qPCR for T/S ratio.
Time frame: 06 months
Leukocyte Telomere Length Measurement: LTL was analyzed using quantitative polymerase chain reaction (qPCR), comparing telomere repeat sequence copy number (T) to a reference single-copy gene (S). Relative fold changes in gene expression will be determined using the comparative threshold cycle method (ΔΔCq), comparing differences in threshold cycle values between groups.
Time frame: 06 months
Telomerase activity was done by ELISA method
Time frame: 6 MONTHS
Total RNA will be extracted using aRNeasy Mini Kit, (QIAGEN) cDNA and synthesized with an iScript cDNA synthesis kit (Bio-Rad, USA). Q-PCR assay will be performed in a Thermal Cycler (iCycler iQ5, Bio-Rad, Hercules, CA). Primers for Sirt1, p66Shc, p53, and mTORwill be designed from sequences derived from the GenBank database using Primer 3 (Whitehead Institute, Massachusetts, USA) and Operon's Oligo software (Operon, California, USA), purchased from Eurofins MWG (Ebersberg, Germany). The comparative threshold cycle method (ΔΔCq), which compares differences in the threshold cycle values between groups, will be used to obtain the relative fold change of gene expression.
Time frame: 06 month
Body weight was done by standard weight machine
Time frame: 06 months
Height was done by slandered hight scale
Time frame: 6 MONTHS
BMI by using weight in kilograms (kg) divided by the square of height in meters (m2).
Time frame: 06 months
Measurement of circumferences (waist, hip, mid-thigh, mid-arm and neck) was measured with a flexible, non-stretchable tape measure
Time frame: 06 months
Skinfolds (biceps, triceps, sub scapular, suprailiac, thigh, lateral thoracic and calf) was measured using skinfold calipers
Time frame: 6 MONTHS
Measured via MF-BIA (InBody 770, CA, USA).
Time frame: 6 MONTHS
ssessed using a Jamar Dynamometer with elbows flexed.
Time frame: 6 MONTHS
Blood samples were collected after a 12-hour fast for a 75-g OGTT, analyzing glucose
Time frame: 06 months
A1C was done by slandered laboratory
Time frame: 06 months
Lipids were done by RANDOX kit
Time frame: 06 months
Serum Insulin done by ELISA kit
Time frame: 06 months
C-peptide done by ELISA Kits
Diabetes Foundation, India
Other
The Effect of Metformin Treatment on Surrogate Markers of Ageing (Leukocyte Telomere Length and Telomerase Activity), Longevity Gene Expression (Sirtuin 1, p66Shc, p53, Andmammalian Target of Rapamycin ), in North Indian Individuals With the Prediabetes: A Randomized Control Trial
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