Ability of Curcumin to Decrease Cytokines Involved in Mucositis in the Autologous Transplant
A Pharmacokinetic-pharmacodynamic Study Assessing the Ability of Curcumin to Decrease Cytokines Involved in Mucositis in the Autologous Transplant Setting
1 other identifier
interventional
40
1 country
1
Brief Summary
Mucositis is a very common complication in bone marrow transplant setting. It is a result of injury to the gut caused by high dose chemotherapy. Currently there are no universal protocols that have been accepted as a standard to prevent and treat mucositis in the transplant setting. Post transplant upto 80% of patients suffer from a severe mucositis. Proinflammatory cytokines play a major role in the development of mucositis. Interventions that decrease the levels of these cytokines may be beneficial in preventing mucositis. This study is aimed at evaluating the role of curcumin in reducing cytokine levels and the incidence and duration of mucositis in patients undergoing autologous stem cell transplantation.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for phase_2
Started Oct 2010
Longer than P75 for phase_2
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 6, 2010
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 3, 2015
CompletedStudy Completion
Last participant's last visit for all outcomes
July 3, 2015
CompletedFirst Submitted
Initial submission to the registry
April 17, 2021
CompletedFirst Posted
Study publicly available on registry
May 3, 2021
CompletedApril 11, 2024
April 1, 2021
4.7 years
April 17, 2021
April 10, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (19)
Serum TNF alpha AUC (0-28)
This will be calculated using serum TNF alpha levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary TNF alpha AUC (0-28)
This will be calculated using salivary TNF alpha levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Serum Interleukin 1 AUC (0-28)
This will be calculated using serum IL-1 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary Interleukin 1 AUC (0-28)
This will be calculated using salivary IL-1 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Serum Interleukin 6 AUC (0-28)
This will be calculated using serum IL-6 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary Interleukin 6 AUC (0-28)
This will be calculated using salivary IL-6 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Serum Interleukin 8 AUC (0-28)
This will be calculated using serum IL-8 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary Interleukin 8 AUC (0-28)
This will be calculated using salivary IL-8 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Serum Interleukin 17 AUC (0-28)
This will be calculated using serum IL-17 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary Interleukin 17 AUC (0-28)
This will be calculated using salivary IL-17 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Serum TGF-beta AUC (0-28)
This will be calculated using serum TGF-beta levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary TGF-beta AUC (0-28)
This will be calculated using salivary TGF-beta levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Serum Interferon gamma AUC (0-28)
This will be calculated using serum IFN-gamma levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary Interferon gamma AUC (0-28)
This will be calculated using salivary IFN-gamma levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Serum Prostaglandin E2 AUC (0-28)
This will be calculated using serum prostaglandin E2 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Salivary Prostaglandin E2 AUC (0-28)
This will be calculated using salivary prostaglandin E2 levels measured at baseline, day 0, then Monday, Wednesday and Friday till day +14 and then on day+28. Using these values, AUC (0-28) will be calculated using linear trapezoidal model
Day+28
Plasma curcumin AUC (0-12 hr)
This will be done using plasma curcumin levels measured 1 hour prior to the first dose, 0.5, 1, 1.5, 2, 3, 4, 6, 8, 12 (± 15 min) hours post dose.
Up to 12 hours from 1st dose
Plasma Bis-demethoxycurcumin AUC (0-12 hr)
This will be done using plasma Bis-demethoxycurcumin levels measured 1 hour prior to the first dose, 0.5, 1, 1.5, 2, 3, 4, 6, 8, 12 (± 15 min) hours post dose.
Up to 12 hours from 1st dose
Plasma demethoxycurcumin AUC (0-12 hr)
This will be done using plasma demethoxycurcumin levels measured 1 hour prior to the first dose, 0.5, 1, 1.5, 2, 3, 4, 6, 8, 12 (± 15 min) hours post dose.
Up to 12 hours from 1st dose
Secondary Outcomes (4)
Mucositis incidence
Till hospital discharge or till day+28 (whichever is earlier)
Mucositis duration
Till hospital discharge or till day+28 (whichever is earlier)
Diarrhoea incidence
Till hospital discharge or till day+28 (whichever is earlier)
Diarrhoea duration
Till hospital discharge or till day+28 (whichever is earlier)
Study Arms (2)
Control
NO INTERVENTIONPatients in this arm received only standard supportive care
Curcumin
EXPERIMENTALPatients in this arm received curcumin lozenges (4 lozenges BD) along with standard supportive care
Interventions
Curcumin lozenges - 4 lozenges to be chewed BD. Each lozenge contained 100 mg of curcumin and the formulation was Solid Lipid Curcumin Particle (SLCP)
Eligibility Criteria
You may qualify if:
- Male or female patients 18 years and above .
- Patients who give written informed consent
- Patients with performance status - 0,1 or 2(ECOG scale)
- Patients receiving any of the following high dose chemotherapy regimens
- Melphalan- 200 mg/m2 or more (MEL-200 mg/m2)
- Busulfan and Melphalan (BuMEL)
- Carmustine (BCNU), Etoposide, Cytosine Arabinoside and Melphalan ( BEAM)
- Patients who have creatinine clearance \> 50 ml/min
- Patients with serum bilirubin levels \< 2mg/dl. and serum liver enzymes (ALT or AST or both) greater than 5 times the upper limit of normal value.
You may not qualify if:
- Patients who are on NSAIDs , aspirin ,antioxidants or systemic steroids for more than 3 months and the last dose taken within the last one week.
- Patients being treated for active infection at the time of starting high dose chemotherapy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Tata Memorial Centre
Navi Mumbai, Maharashtra, 410210, India
Related Publications (1)
Punatar S, Katti K, Rajamanickam D, Patil P, Dhakan C, Bagal B, Gokarn A, Bonda A, Nayak L, Gurjar M, Kannan S, Chiplunkar S, Gota V, Khattry N. Role of Curcumin in Reducing Toxicities Associated With Mucosal Injury Following Melphalan-Based Conditioning in Autologous Transplant Setting. Cell Transplant. 2022 Jan-Dec;31:9636897221086969. doi: 10.1177/09636897221086969.
PMID: 35435039DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Navin Khattry, MD, DM
Tata Memorial Centre
Study Design
- Study Type
- interventional
- Phase
- phase 2
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor and BMT convener
Study Record Dates
First Submitted
April 17, 2021
First Posted
May 3, 2021
Study Start
October 6, 2010
Primary Completion
July 3, 2015
Study Completion
July 3, 2015
Last Updated
April 11, 2024
Record last verified: 2021-04
Data Sharing
- IPD Sharing
- Will not share