- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05591339
Diabetes Diagnosis, Management, Prevention and Education in Guinea-Bissau (BCGTODM)
Type 2 diabetes (T2D) will affect ~650 million adults worldwide by 2040 and about as many will have pre-diabetes. Chronic hyperinsulinemia/insulin resistance precedes T2D development. Studies link insulin resistance with chronic inflammation and oxidative stress.
In Guinea-Bissau, a low-income country in West Africa, the T2D incidence is largely unknown and there is an acute lack of diabetes doctors, nurses and other diabetes educators. They hardly have access to insulin, and mortality from T2D complications is high. Previous studies by the Bandim Health Project (www.bandim.org) in the country show that the Bacillus Calmette-Guérin (BCG) vaccine has non-specific effects, well beyond tuberculosis prevention, conferring a general protection against unrelated pathogens. At the same time, studies from the US have also shown that BCG can significantly improve glycemic control in Type-1 diabetes (T1D) patients. Yet, no such studies have been done in T2D or pre-diabetes.
The purpose of the present study is to administer BCG to patients with pre-diabetes, in order to reduce hyperinsulinemia/chronic inflammation, a novel strategy to flatten the growing T2D incidence.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
BACKGROUND The lack of medical infrastructure and health education is clear across Guinea-Bissau, West Africa. Besides pilot studies from the capital Bissau, showing poor glycemic control and high mortality, due mainly to untreated type 2 diabetes (T2D), the diabetes prevalence is largely unknown. Patients cannot easily afford treatment, including insulin. Better health education, cheaper prevention and treatment strategies are needed.
Importantly, data show that the Bacillus Calmette Guerin (BCG) vaccine has key non-specific health effects, well beyond prevention of the target disease tuberculosis. Furthermore, in the US, it has been shown that BCG revaccination lowers haemoglobin-A1c (HbA1c) in people with Type-1 diabetes (T1D). Yet, no such studies have been done in T2D subjects.
The exact pathways of the non-specific effects of BCG are still being exploried, but it may be due to an increase in basal systemic levels of type 1 cytokines and immune cells and induction of epigenetic modifications in the innate immune cells, leading to increased pro-inflammatory responses towards unrelated pathogens. These modifications are accompanied by changes in glucose metabolism, increasing aerobic glycolysis, a state of high glucose utilization. In the randomized trial from the US in T1D patients, BCG lowered HbA1c close to normal levels. A systemic shift in glucose metabolism from oxidative phosphorylation to aerobic glycolysis was observed. BCG vaccination could therefore potentially be a cheap and safe tool to prevent T2D in resource-limited settings.
In Guinea-Bissau, only a couple of diabetes studies have been performed in patients with tuberculosis, HIV, twins and at a local diabetes clinic. Recently, study identified a severe lack of diabetes prevention, management and education. BCG vaccination could thus be a very valuable tool to prevent (and possibly treat) diabetes in low-income countries like Guinea-Bissau.
At the same time, studies indicate that long-term inflammation may predict dysmetabolism, independent of being lean or obese. Chronic inflammation is an important feature of insulin resistance and T2D, in which specific pro-inflammatory cytokines drive disease.
The rationale for the present study in Guinea-Bissau is therefore to test whether BCG vaccination could reduce HbA1c levels and ameliorate inflammation observed in individuals with pre-diabetes, thereby preventing the progression to overt T2D.
AIM OF STUDY Conduct a randomized trial to investigate the metabolic effects of two BCG vaccinations 4 weeks apart in persons with pre-diabetes. Metabolic status is monitored during the trial and related with inflammatory biomarkers.
MAIN HYPOTHESIS Providing two BCG vaccinations 4 weeks apart to individuals with pre-diabetes, compared with placebo, is associated with lower fasting glucose/hba1c levels at 3 years follow-up.
DEFINITIONS Pre-diabetes: F-glucose between 5.6-6.9 mmol/L or HbA1c between 39-47mmol/L. Above these levels is diabetes.
INVESTIGATIONS AND SAMPLE SIZE
The aim is to conduct a randomized trial to investigate the metabolic effects of two BCG vaccinations 4 weeks apart in pre-diabetes adult subjects. The pre-diabetes patients will partly be identified in a diabetes prevalence study being conducted prior to the trial.
The participants are followed for 3 consecutive years, with F-glucose and hba1c measured every 3 months.
Metabolic status is monitored by measuring metabolic markers (glucose, hba1c, insulin, leptin, adiponectin) and relating these with inflammatory markers (Il-6, Il-10, Il-33, TNFa) pre and post-trial.
The blood for the advanced metabolic and inflammatory biomarkers will be collected and stored in frozen condition (-40C) in Guinea-Bissau at the National Health Laboratory (LNSP), before being transported to Coimbra University, Portugal, for analyses.
Sample size: If anticipating at 3 years follow-up a reduction in mean F-glucose from 7.0 mmol/L to 6.0, there would be a need 63 participants in each group, with a potency of 80% and an alpha of 0.05. Therefore, including a total of 200 participants with pre-diabetes in this BCG study should give us an appropriate sample size, also taking into account loss to follow-up.
SETTING The trial will be conducted by the Bandim Health Project (BHP) team in Bissau (www.bandim.org). Since 1978, the BHP has maintained a health and demographic surveillance system (HDSS) site here.
The National Diabetes Clinic (NDC): Is the only diabetes clinic in Guinea-Bissau, situated within the BHP study area, where the trial will take place. The clinic is semi-private and run by the Guinean Diabetes Association (ANDD).
METHODS The investigators will invite 200 individuals with pre-diabetes. Provided the participants meets the inclusion/exclusion criteria, fasting blood samples will be collected by a team nurse. Clinical records will contain demographic characteristics, patient history, anthropometry, clinical measurements, prescriptions, diagnoses and the presence of diabetic wounds. BCG and smallpox vaccination scar status are assessed.
Follow-up: Participants will be recalled for evaluation every three months, during the 3 years trial, where the investigators will measure F-glucose and HbA1c levels.
Glycemic analyses: F-glucose levels will be measured using Accu-Chek Aviva. Hb1Ac will be measured on a Bayer's A1CNow.
Bio markers: At baseline and every 6 months during follow-up the investigators will measure metabolic (glucose, hba1c, insulin, leptin, adiponectin) and inflammatory markers (Il-6, Il-10, Il-33, TNFa).
Data management: After randomization, the participants will receive a card with a unique study number, which they need to bring to facilitate identification. All information will be entered in RedCap.
STATISTICS BCG's effect on F-glucose and hba1c will be done using Poisson regression models, and time to T2D diagnosis by Cox regression. Analyses will be done overall, by sex and pre-diabetes levels. It will be examined whether prior BCG-scaring affects the intervention.
ETHICAL CONSIDERATIONS The protocol has been approved by to the Guinean Ethical Committees. Informed written consent will be obtained before enrolment.
DATA SAFETY AND MONITORING BOARD This will be established consisting of a diabetes expert and a statistician plus an additional member.
NOVELTY AND SIGNIFICANCE Better diabetes prevention and treatment strategies are urgently needed. If the trial is successful, it will represent a major improvement in the diabetes control, and at very low cost. Essentially, with the proper handling techniques, BCG can be administered everywhere, even in the most resource-limited areas.
SPONSOR: The BHP and the University of Coimbra (UC) are both the sponsors of the study, and wrote the protocol jointly. The UC is therefore also a co-responsible party.
Study Type
Enrollment (Estimated)
Phase
- Phase 4
Contacts and Locations
Study Locations
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Bissau, Guinea-Bissau, 1004
- Bandim Health Project
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria for BCG trial:
- Ages 18-64
- Planning to continue living in the study area
- F-glucose from 5.6-6.9 mmol/L and HbA1c between 39-47mmol/mol.
Exclusion Criteria for BCG trial:
- HIV infection (an HIV test to be done before enrolment)
- Pregnancy (a pregnancy test to be done before enrolment in women in the childbearing age)
- Chemotherapy
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Triple
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: BCG vaccine
Participants that are randomized in the active arm will receive an adult 0.1 ml dose of BCG vaccine (e.g. BCG-Denmark or BCG-Japan) in the skin covering the left upper deltoid muscle. Two doses will be given, 4 weeks apart. Intervention: Biological BCG-vaccine. |
BCG vaccine provided intradermally at the upper arm.
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Placebo Comparator: Placebo
Placebo will be 0.1 ml sterile 0.9 % NaCl, which has a similar color as the resuspended BCG vaccine.
Two placebo doses will be given, 4 weeks apart.
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Participants randomized to the control group (placebo) will receive one 0.1 ml dose sterile 0.9 % NaCl by intradermal injection in the left deltoid region.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Hba1c
Time Frame: 3 years after enrolment
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Hba1c levels at the end of the study period in people with pre-diabetes
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3 years after enrolment
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F-glucose
Time Frame: 3 years after enrolment
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F-glucose levels at the end of the study period in people with pre-diabetes
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3 years after enrolment
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Type-2 diabetes
Time Frame: 3 years after enrolment
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Confirmed Type-2 diabetes at the end of the study period in people with pre-diabetes
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3 years after enrolment
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Time to Type-2 diabetes development
Time Frame: 0-3 years after enrolment
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Number of months between enrolment and development of Type-2 diabetes in people with pre-diabetes
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0-3 years after enrolment
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Eugenia Carvalho, PhD, Center of Neuroscience and Cell Biology, University of Coimbra, Portugal
- Principal Investigator: Lilica Sanca, Bsc, Bandim Health Project
- Principal Investigator: Morten Bjerregaard-Andersen, MD, PhD, Hospital of Southwest Jutland, Denmark
- Principal Investigator: Stine Byberg, MSc, PhD, Steno Diabetes Center Copenhagen
Publications and helpful links
General Publications
- Correia JC, Lopes A, Iala CB, Sanca NA, Bidonga A, Lagger G, Golay A, Castellsague MP. Diabetes management in Guinea Bissau: a situational analysis. Pan Afr Med J. 2019 Sep 4;34:10. doi: 10.11604/pamj.2019.34.10.19874. eCollection 2019.
- Byberg S, Bundesen C, Rudolf F, Haraldsdottir TL, Indjai L, Barai R, Beck-Nielsen H, Sodemann M, Jensen DM, Bjerregaard-Andersen M. Diabetes in urban Guinea-Bissau; patient characteristics, mortality and prevalence of undiagnosed dysglycemia. Glob Health Action. 2020 Dec 31;13(1):1802136. doi: 10.1080/16549716.2020.1802136.
- Benn CS, Roth A, Garly ML, Fisker AB, Schaltz-Buchholzer F, Timmermann A, Berendsen M, Aaby P. BCG scarring and improved child survival: a combined analysis of studies of BCG scarring. J Intern Med. 2020 Dec;288(6):614-624. doi: 10.1111/joim.13084. Epub 2020 May 25.
- Schaltz-Buchholzer F, Aaby P, Monteiro I, Camala L, Faurholt Simonsen S, Nortoft Frankel H, Lindberg Larsen K, Golding CN, Kollmann TR, Amenyogbe N, Stabell Benn C, Bjerregaard-Andersen M. Immediate Bacille Calmette-Guerin Vaccination to Neonates Requiring Perinatal Treatment at the Maternity Ward in Guinea-Bissau: A Randomized Controlled Trial. J Infect Dis. 2021 Dec 1;224(11):1935-1944. doi: 10.1093/infdis/jiab220.
- Aaby P, Benn CS. BCG: new life for a centenarian vaccine. Lancet Infect Dis. 2021 Jul;21(7):897-898. doi: 10.1016/S1473-3099(20)30714-3. Epub 2021 Feb 17. No abstract available.
- Kuhtreiber WM, Tran L, Kim T, Dybala M, Nguyen B, Plager S, Huang D, Janes S, Defusco A, Baum D, Zheng H, Faustman DL. Long-term reduction in hyperglycemia in advanced type 1 diabetes: the value of induced aerobic glycolysis with BCG vaccinations. NPJ Vaccines. 2018 Jun 21;3:23. doi: 10.1038/s41541-018-0062-8. eCollection 2018.
- Faustman DL, Wang L, Okubo Y, Burger D, Ban L, Man G, Zheng H, Schoenfeld D, Pompei R, Avruch J, Nathan DM. Proof-of-concept, randomized, controlled clinical trial of Bacillus-Calmette-Guerin for treatment of long-term type 1 diabetes. PLoS One. 2012;7(8):e41756. doi: 10.1371/journal.pone.0041756. Epub 2012 Aug 8.
- Biering-Sorensen S, Jensen KJ, Monterio I, Ravn H, Aaby P, Benn CS. Rapid Protective Effects of Early BCG on Neonatal Mortality Among Low Birth Weight Boys: Observations From Randomized Trials. J Infect Dis. 2018 Feb 14;217(5):759-766. doi: 10.1093/infdis/jix612.
- Kleinnijenhuis J, Quintin J, Preijers F, Joosten LA, Ifrim DC, Saeed S, Jacobs C, van Loenhout J, de Jong D, Stunnenberg HG, Xavier RJ, van der Meer JW, van Crevel R, Netea MG. Bacille Calmette-Guerin induces NOD2-dependent nonspecific protection from reinfection via epigenetic reprogramming of monocytes. Proc Natl Acad Sci U S A. 2012 Oct 23;109(43):17537-42. doi: 10.1073/pnas.1202870109. Epub 2012 Sep 17.
- Mbanya JC, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-Saharan Africa. Lancet. 2010 Jun 26;375(9733):2254-66. doi: 10.1016/S0140-6736(10)60550-8.
- Meiloud G, Arfa I, Kefi R, Abdelhamid I, Veten F, Lasram K, Ben Halim N, Sidi Mhamed A, Samb A, Abdelhak S, Houmeida AO. Type 2 diabetes in Mauritania: prevalence of the undiagnosed diabetes, influence of family history and maternal effect. Prim Care Diabetes. 2013 Apr;7(1):19-24. doi: 10.1016/j.pcd.2012.12.002. Epub 2013 Feb 4.
- Bjerregaard-Andersen M, Hansen L, da Silva LI, Joaquim LC, Hennild DE, Christiansen L, Aaby P, Benn CS, Christensen K, Sodemann M, Jensen DM, Beck-Nielsen H. Risk of metabolic syndrome and diabetes among young twins and singletons in Guinea-Bissau. Diabetes Care. 2013 Nov;36(11):3549-56. doi: 10.2337/dc12-2653. Epub 2013 Aug 15.
- Haraldsdottir TL, Rudolf F, Bjerregaard-Andersen M, Joaquim LC, Stochholm K, Gomes VF, Beck-Nielsen H, Ostergaard L, Aaby P, Wejse C. Diabetes mellitus prevalence in tuberculosis patients and the background population in Guinea-Bissau: a disease burden study from the capital Bissau. Trans R Soc Trop Med Hyg. 2015 Jun;109(6):400-7. doi: 10.1093/trstmh/trv030. Epub 2015 Apr 26.
- Steiniche D, Jespersen S, Erikstrup C, Krarup H, Handberg A, Ostergaard L, Haraldsdottir T, Medina C, Gomes Correira F, Laursen AL, Bjerregaard-Andersen M, Wejse C, Honge BL; Bissau HIV Cohort study group. Diabetes mellitus and impaired fasting glucose in ART-naive patients with HIV-1, HIV-2 and HIV-1/2 dual infection in Guinea-Bissau: a cross-sectional study. Trans R Soc Trop Med Hyg. 2016 Apr;110(4):219-27. doi: 10.1093/trstmh/trw017.
- Fischer IP, Irmler M, Meyer CW, Sachs SJ, Neff F, Hrabe de Angelis M, Beckers J, Tschop MH, Hofmann SM, Ussar S. A history of obesity leaves an inflammatory fingerprint in liver and adipose tissue. Int J Obes (Lond). 2018 Mar;42(3):507-517. doi: 10.1038/ijo.2017.224. Epub 2017 Sep 13.
- Denis GV, Obin MS. 'Metabolically healthy obesity': origins and implications. Mol Aspects Med. 2013 Feb;34(1):59-70. doi: 10.1016/j.mam.2012.10.004. Epub 2012 Oct 13.
- DeFuria J, Belkina AC, Jagannathan-Bogdan M, Snyder-Cappione J, Carr JD, Nersesova YR, Markham D, Strissel KJ, Watkins AA, Zhu M, Allen J, Bouchard J, Toraldo G, Jasuja R, Obin MS, McDonnell ME, Apovian C, Denis GV, Nikolajczyk BS. B cells promote inflammation in obesity and type 2 diabetes through regulation of T-cell function and an inflammatory cytokine profile. Proc Natl Acad Sci U S A. 2013 Mar 26;110(13):5133-8. doi: 10.1073/pnas.1215840110. Epub 2013 Mar 11.
- Denis GV, Sebastiani P, Bertrand KA, Strissel KJ, Tran AH, Slama J, Medina ND, Andrieu G, Palmer JR. Inflammatory signatures distinguish metabolic health in African American women with obesity. PLoS One. 2018 May 8;13(5):e0196755. doi: 10.1371/journal.pone.0196755. eCollection 2018.
- Bastard JP, Maachi M, Lagathu C, Kim MJ, Caron M, Vidal H, Capeau J, Feve B. Recent advances in the relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw. 2006 Mar;17(1):4-12.
- Hennild DE, Bjerregaard-Andersen M, Joaquim LC, Christensen K, Sodemann M, Beck-Nielsen H, Jensen DM. Prevalence of impaired glucose tolerance and other types of dysglycaemia among young twins and singletons in Guinea-Bissau. BMC Endocr Disord. 2016 Aug 4;16(1):46. doi: 10.1186/s12902-016-0126-6.
- Awah PK, Unwin NC, Phillimore PR. Diabetes Mellitus: Indigenous naming, indigenous diagnosis and self-management in an African setting: the example from Cameroon. BMC Endocr Disord. 2009 Feb 19;9:5. doi: 10.1186/1472-6823-9-5.
- Abdulrehman MS, Woith W, Jenkins S, Kossman S, Hunter GL. Exploring Cultural Influences of Self-Management of Diabetes in Coastal Kenya: An Ethnography. Glob Qual Nurs Res. 2016 Apr 8;3:2333393616641825. doi: 10.1177/2333393616641825. eCollection 2016 Jan-Dec.
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- OP_1576
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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