Efficacy of Dapagliflozin in Diabetes Associated Peripheral Neuropathy
NCT ID: NCT05162690
Last Updated: 2022-06-07
Study Results
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Basic Information
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UNKNOWN
PHASE2/PHASE3
40 participants
INTERVENTIONAL
2022-05-01
2023-12-31
Brief Summary
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Detailed Description
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Methods to quantify neuropathy include clinical scores based on symptoms and neurological tests, quantitative sensory testing, electrophysiological measurements, in the form of nerve conduction studies and intraepidermal nerve fiber density in skin biopsy specimens. The neurological examination involves an assessment, such as modified neuropathy disability score, a composite score that assesses touch, temperature and vibration perception and reflexes, which require expert clinical judgement, a strong element of subjectivity and hence poor reproducibility. Neurophysiology is objective and reproducible and is currently considered to be the most reliable measurements for confirming the diagnosis of diabetic neuropathy. However, these measures mainly assess large nerve fibers, making them less sensitive to early DPN,which is more likely to involve the small fibers to begin with.
Objective measures are thus required to accurately determine nerve pathology to detect early stages of DPN, which may be more susceptible to intervention than late-stage sequelae. Small fibers, which constitute 70-90% of peripheral nerve fiber, may be measured in skin biopsies by assessing intraepidermal nerve fiber density, which is considered to be the gold standard for the evaluation of small fibers damage. Indeed, the European Federation of the Neurological Societies and the Peripheral Nerve Society endorse intraepidermal nerve fiber quantification to confirm the clinical diagnosis of small fiber neuropathy with a strong (Level A)recommendation.
Recently, corneal confocal microscopy (CCM), a noninvasive modality for the study of the human cornea, has emerged as a promising technique for the detection of small nerve fiber alterations. CCM is a rapid non-invasive imaging technique for the quantitative assessment of small fiber damage. Several studies have shown that it has good diagnostic utility for sub-clinical DPN, predicts incident DPN and correlates with other measures of neuropathy . Furthermore, automated quantification of corneal nerve parameters allows rapid, unbiased and objective assessment of small fiber damage with comparable diagnostic capability to intraepithelial nerve fiber density (IENFD). Recent data also suggest that CCM shows good reproducibility and could be useful to document nerve regeneration after treatment and simultaneous pancreas and kidney transplantation.
There is currently no Food and Drug Administration (FDA) approved therapy to prevent or reverse human DPN. The current management approach focuses on reasonable glycemic control, and management of associated pain. Sodium-glucose cotransporter 2 (SGLT2) inhibitors as oral hypoglycemic agents have been approved for treating type 2 diabetes mellitus (T2DM). The insulin-independent action mechanism and extra-metabolic benefits of these agents have encouraged ongoing preclinical and clinical trials for evaluating the efficacy and safety of SGLT2 inhibitors. In addition to glucose-lowering effects without hypoglycemia, SGLT2 inhibitors retard the development and progression of diabetic complications. However, it is uncertain whether this effect of SGLT2 inhibitors is due to their glucose-lowering effect or not. In addition, unlike diabetic nephropathy, the effects of SGLT2 inhibitors on diabetic peripheral neuropathy are unexplored.
To date, only three studies regarding the effects of SGLT2 inhibitors for DPN in T2DM animal models are reported. Investigators evaluated neuronal effects in terms of simple functional parameters, such as motor nerve conduction velocity and tail flick test. Results of these studies verified the beneficial effects of SGLT2 inhibitors for DPN, and these effects were considered to indirect effects of the improvement of hyperglycemia.
Since no human studies have yet been conducted using SGLT2 inhibitors in the prevention and progression of diabetic neuropathy, hence, investigators plan to conduct a randomized controlled trial evaluating the efficacy of dapagliflozin in diabetic peripheral neuropathy
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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The Drug Arm
Dapagliflozin 10 milligram Once a day
1 year
Dapagliflozin 10 milligram
10mg per day of Dapagliflozin will be given to the patients
The Placebo Arm
Metformin 1gram Per Oral Twice a day Glimepiride 2 milligram oral twice a day Dipeptidyl peptidase 4 inhibitors (DPP4 inhibitors)
Placebo
Metformin DPP4 inhibitors
Interventions
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Dapagliflozin 10 milligram
10mg per day of Dapagliflozin will be given to the patients
Placebo
Metformin DPP4 inhibitors
Eligibility Criteria
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Inclusion Criteria
Type 2 Diabetes Mellitus \< 5 years duration
Age \>18yrs
Presence of neuropathy at baseline (accessed by Michigan Neuropathy Screening Instrument score \>7 )
estimated Glomerular Filtration rate (eGFR) \> 45ml/min/m2
HBA1c \< 9
Exclusion Criteria
Patients currently on SGLT2 inhibitors History of Leprosy
Patients with history of and current foot ulcers
Presence of Peripheral Vascular disease(ABI \<0.9)
B12(\<200 pg/ml)/ Folate (\<4.6 ng/ml)
History of alcohol abuse (\>2 standard drink per day for males and \>1 standard drink for females)
Factors affecting corneal nerves( severe dry eyes, severe corneal dystrophies, ocular trauma or surgery in the preceding 6 months)
Negative consent
\-
18 Years
ALL
No
Sponsors
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Post Graduate Institute of Medical Education and Research, Chandigarh
OTHER
Responsible Party
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Ashu Rastogi
Associate Professor
Principal Investigators
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Ashu Rastogi, DM
Role: PRINCIPAL_INVESTIGATOR
PGIMER, India
Locations
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Department of Endocrinology, PGIMER
Chandigarh, , India
Countries
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Central Contacts
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Facility Contacts
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References
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Adhikari U, Gad H, Chatterjee D, Malhotra C, Bhadada SK, Malik RA, Rastogi A. Dapagliflozin for Small Nerve Fibre Regeneration in Diabetic Peripheral Neuropathy: A Randomised Controlled Study (DINE). J Peripher Nerv Syst. 2025 Mar;30(1):e70011. doi: 10.1111/jns.70011.
Other Identifiers
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PGIMER1
Identifier Type: -
Identifier Source: org_study_id
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