Cystic Fibrosis-related DiabetesNCT04379726
β-cell Function and Insulin Sensitivity in Patients With Cystic Fibrosis
An observational study of Cystic Fibrosis-related Diabetes, run by Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico.
Trial summary
Cystic fibrosis is a genetic disorder caused by mutations in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene, leading to pulmonary infections, sinus disease, pancreatic insufficiency, hepatobiliary disease and male infertility, with respiratory failure being the primary cause of death. Read more about this study
- Who is it for?
- Ages 18 to 45 years
- Conditions the study is for
- Cystic Fibrosis-related Diabetes
- What is being tested?
- therapeutic optimization
- Type of treatment
- Lifestyle or therapy programme
- How many people
- 150 participants
- Where
- No sites listed yet
- Study dates
- 1 Jul 2020to 1 Sep 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 45 years
- All sexes
- No healthy volunteers
- Adult
Study population: patients will be followed for three years as described in the protocol
Who may be able to join
- written informed
- diagnosis of cystic fibrosis
Who cannot join
- celiac disease
- pregnancy
- diagnosis of T1DM
Trial locations and contacts
No sites are listed yet.
About this study
Official title: Characterization of β-cell Function and Insulin Sensitivity in Pre-transplant Patients With Cystic Fibrosis
Cystic fibrosis is a genetic disorder caused by mutations in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene, leading to pulmonary infections, sinus disease, pancreatic insufficiency, hepatobiliary disease and male infertility, with respiratory failure being the primary cause of death. Cystic Fibrosis Related Diabetes (CFRD) in one of the most common complication of cystic fibrosis (CF) and it's associated with a worse respiratory and nutritional state, with a negative impact on life expectancy. It differs from type 1 diabetes and type 2 diabetes for particular characteristics making this disease a separated clinical entity.
To date, there is a lack of evidence on many aspects concerning this disease:
Read more
- the pathophysiology of the disease: decreased insulin secretion has historically been seen has the major trigger for CFRD, but data about this mechanism are scarce and conflicting. Moreover, the role of insulin-resistance seems to be not consistent, but pulmonary exacerbations are very common and, in this setting, insulin sensitivity can worsen significantly.
- the relationship between its development and particular genetic settings: certain CFTR genotypes are known to be most related to the risk of diabetes, and only few susceptibility genes for type 2 diabetes have been evaluated as potential predisposing factors for CFRD.
- the relationship between the therapeutic optimization and its impact on metabolic status and lung function: CFRD is known to be associated with worse clinical outcomes, reflected in more frequent clinical exacerbations, greater reduction in lung function, poorer nutritional status and decreased survival. It has also been demonstrated that insulin therapy can improve pulmonary function, increase body weight and reduce lung exacerbations. However, no study on the clinical impact of the optimization of insulin therapy on pulmonary outcomes and life expectancy are available in this population.
- finally, no data about potential predisposing pre-transplant risk factors for development of post-transplant DM are available
For this reason, the investigators have structured a study with the aim to:
- characterize the pathophysiological process leading to CFRD, with assessment of the relative contribution of the insulin resistance and the β-cellular secretion impairment
- define the prevalence of CFRD in relation to the mutations of the CFTR gene and to the presence of candidate genes for the development of type 2 diabetes
- perform a proteomic analysis to identify potential proteomic biomarkers among CFRD patients
- evaluate the body composition, muscle performance and respiratory outcomes in patients on insulin therapy, before and after therapeutic optimization, in a follow-up period of 24 months.
- identify eventual predisposing factors for the development of post-transplant diabetes in subjects without pre-transplant CFRD.
Read the detailed description
The study aims are:
- Task 1: pathophysiological characterization of CFRD with assessment of the relative contribution of the insulin resistance and the β-cellular secretion impairment through the use of a Minimum Model applied to OGTT for the evaluation of insulin sensitivity and secretion
- Task 2: 2a) determination of the prevalence of CFRD in relation to the mutations of the CFTR gene (presence of mutations with residual function of the CFTR protein) 2b) determination of the prevalence of CFRD in relation to the presence of candidate genes for the devel-opment of type 2 diabetes (NOTCH2, BCL11A, THADA, IGFBP-2, PPARG, ADAMTS9, CDKAL1, VEFGA, JAZF1, CDKN2A / 2B, HHEX, CDC123 / CAMK1D, TCF7L2, KCNJ11, DCD, TSPAN8 / LGR5, FTO, WFS1, SLC30A8 and INS). 2c) determination of variations in the proteomic analysis of CFRD patients compared to CF without DM and a control group of healthy individuals.
- Task 3: evaluation of the effect of the therapeutic optimization of glycometabolic control on body composition and respiratory outcomes in patients on insulin therapy, in a follow-up period of 24 months.
- Task 4: identification of predisposing factors for the development of post-transplant diabetes in subjects without CFRD.
METHODS:
All CF patients currently followed at the Unit of Pulmonology of our Center (250 subjects) will be considered eligible for the study.
Total duration of the study: 156 weeks (3 years).
The enrolled patients will be divided into two groups:
GROUP 1: subjects with a negative history for CFRD or with a CFRD diagnosis that does not require insulin therapy GROUP 2: subjects suffering from CFRD in insulin therapy
Protocol 1: Group 1; metabolic and anthropometric evaluation and assessment of insulin sensitivity / secretion.
Protocol 2: Group 1 and Group 2; genetic evaluation / proteomic evaluation Protocol 3: Group 2; pre- and post-intervention metabolic, anthropometric and nutritional assessment.
Protocol 4: Group 1 patients without CFRD undergoing lung transplantation (10); genetic, metabolic, an-thropometric and pre-and post-transplant assessment of insulin sensitivity / secretion.
Patients will undergo a:
- METABOLIC EVALUATION: a venous sampling will be performed for blood glucose, HbA1c, total cholesterol, HDL, triglycerides, blood count, albumin, total proteins, pseudocholinesterase, AST, ALT, GGT, ALP, 25OHvitD
- GENETIC EVALUATION: the investigators will evaluate the specific genetic mutation of the CFTR gene and the presence of gene variants related to the development of DM2 (NOTCH2, BCL11A, THADA, IGFBP-2, PPARG, ADAMTS9, CDKAL1, VEFGA, JAZF1, CDKN2A / 2B, HHEX, CDC123 / CAMK1D, TCF7L2, KCNJ11, DCD, TSPAN8 / LGR5, FTO, WFS1, SLC30A8 and INS)
- PROTEOMIC EVALUATION: the investigators will perform a Mass Spectrometry to identify variations in the protein pattern expression in CFRD patients if compared to CF patients without DM and healthy control individuals. The list of analyzed protein is available in supplemental data 2.
- ANTROPOMETRIC EVALUATION. the anthropometric evaluation will be performed with objective exami-nation (Body Mass Index - BMI, waist circumference - CV and hip circumference - CF) , DEXA total body and bioimpedentiometry
- DYNAMIC EVALUATION OF INSULIN SENSITIVITY AND β CELL SECRETION. Patients will undergo a 5-hours OGTT with serial blood samples and with the application of a Mathematical Model adapted ad hoc (Appendix 1 for a detailed description of the model), in order to quantify the contribution of insulin resistance and β-cell secretion to the development of CFRD
- PULMONARY EVALUATION. According to clinical practice, patients will be subjected to respiratory function tests with the calculation of FEV1 (absolute and percentage), exacerbation rate, rate of severe exacerbation (need of hospitalization), patient-reported outcomes (PROs) obtained from the sCF-quality of life questionnaire, which will be provided to patients in paper form.
SAMPLE SIZE AND STATISTICAL ANALYSIS:
Referring to the primary objective of the project, the observational nature of the study and the absence of evidence about the topic make a precise evaluation of the power of the study a difficult issue. However, considering the number of patients available and followed by our Center (n = 136), it has been calculated that the present study will have the power of 80% and an alpha level equal to 5% to show a significant reduction of at least 25% in the 1st phase secretion in the group of diabetics if compared to the non-diabetic group (assuming a mean value in non-diabetics of 1500 (aggiungere udm) and a SD of 500 (udm) (Pass v. 11 NCSS software, LCC, Kaysville, Utah, USA).
A series of descriptive analyzes will be performed: the continuous variables will be presented as averages and standard deviations or median with interquartile ranges, depending on the distribution. Frequency distributions will be presented as numbers and percentages. Data will also be presented graphically with histograms and "Box-and-Whisker" plots in order to evaluate potential anomalous values, allowing a further data-check phase in order to have reliable data for subsequent analyzes. Differences between the groups will be analyzed using parametric tests (t-test or ANOVA) without repeated tests or repeated tests, depending on the task of the project. If the normality of the distributions were violated (normal test based on the Shapiro-Wilk statistics), non-parametric technical correspondents will be used. Categorical data will be compared using contingency tables through the Chi-square test or Fisher's exact test, where appropriate. All tests will be two-tailed and p-values less than 5% will be considered statistically significant.
A series of descriptive analyzes will be performed: the continuous variables will be presented as averages and standard or median deviations with interquartile ranges, depending on the distribution. Frequency distributions will be presented as numbers and percentages. The data will also be presented graphically through histograms and "Box-and-Whisker" plots in order to evaluate potential anomalous values that will allow a further data-check phase in order to have valid data for subsequent analyzes. The differences between the groups will be analyzed using parametric techniques (t-test or ANOVA) without repeated tests or with repeated tests, depending on the task of the project. If the normality of the distributions was violated (normality test based on the Shapiro-Wilk statistics), corresponding non-parametric techniques will be used. Categorical data will be compared using contingency tables through the Chi-square test or Fisher's exact test, where appropriate. All tests will be two-tailed and a p-values less than 5% will be considered statistically significant.
- Conditions
- Cystic Fibrosis-related Diabetes
- Being tested
- therapeutic optimization
- Keywords
- insulin, beta cell function, insulin resistance
- Medical subject headings
- Insulin Resistance
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
therapeutic optimizationBehavioural
patients with diagnosis of CFRD will undergo the gold standard treatment for the disease (insulin therapy)
| Study group | Role | What they receive |
|---|---|---|
| patients with CFRD | Patients with diagnosis of CFRD, after OGTT Receives: Behavioral: therapeutic optimization | |
| patients without CFRD | Patients without diagnosis of CFRD, after OGTT |
What is being measured
The primary outcome is the main question the study is designed to answer.
TASK 1: derivative control (DC)
index of first phase insulin secretion, calculated using the Minimum Model applied to the OGTT in patients with CF and various degrees of glucose homeostasis
Measured: 2 YEARS
TASK 1: proportional control (PC)
index of second phase insulin secretion, calculated using the Minimum Model applied to the OGTT in patients with CF and various degrees of glucose homeostasis
Measured: 2 YEARS
TASK 1: OGIS-2H
index of insulin sensitivity, calculated with the appropriate formula applied to the OGTT in patients with CF and various degrees of glucose homeostasis
Measured: 2 YEARS
TASK 2: prevalence of CFRD in relation to the classes of mutations in the CFTR gene
Measured: 2 YEARS
TASK 3: variation of FEV1
difference between pre- and post-institution of an optimal glycemic control
Measured: 2 YEARS
TASK 4: incidence of post-transplant diabetes in subjects without CFRD
Measured: 2 YEARS
Secondary outcomes (3)
TASK 2: prevalence of candidate genes for DM2 in the population with CF
Measured: 2 YEARS
TASK2: variations in the protein pattern expression in CFRD population
highlighted with a proteomic analysis
Measured: 2 YEARS
TASK 3: variations of other respiratory and muscle-performance parameters
n° episodes of exacerbation/year, n° of severe exacerbation (need of hospitalization)/year, and patient-reported outcomes (PROs) obtained from a specific validated questionnaire (CF-quality of life questionnaire, 9 quality of life domains: Physical Functioning, Vitality, Emotional state, Social limitations, Role Limitations/School Performance, Embarrassment, Body Image, Eating Disturbances, Treatment Constraints. 3 symptom scales: Respiratory, Digestive, Weight. 1 health perception scale: Health Status (present/evolution).Scores range from 0 to 100, with higher scores indicating better health)
Measured: 2 YEARS
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted7 May 2020
- Study start1 Jul 2020 (estimated)
- Primary completion1 Jul 2023 (estimated)
- Study completion1 Sep 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (41)Papers the sponsor has linked to this study.
- Other trials for Cystic Fibrosis-related DiabetesStudies of the same condition, open and under way.
- More trials run by Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Prospective
- Enrolment
- 150 participants (estimated)
Sponsor and investigators
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Emanuela Orsi, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04379726
- Sponsor's protocol ID
- FCMilano
- Status last verified
- May 2020
- First submitted
- 28 Apr 2020
- Last updated
- 7 May 2020
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
MacKenzie T, Gifford AH, Sabadosa KA, Quinton HB, Knapp EA, Goss CH, Marshall BC. Longevity of patients with cystic fibrosis in 2000 to 2010 and beyond: survival analysis of the Cystic Fibrosis Foundation patient registry. Ann Intern Med. 2014 Aug 19;161(4):233-41. doi: 10.7326/M13-0636.
PubMed 25133359Yoon JC. Evolving Mechanistic Views and Emerging Therapeutic Strategies for Cystic Fibrosis-Related Diabetes. J Endocr Soc. 2017 Oct 30;1(11):1386-1400. doi: 10.1210/js.2017-00362. eCollection 2017 Nov 1.
PubMed 29264462Haardt M, Benharouga M, Lechardeur D, Kartner N, Lukacs GL. C-terminal truncations destabilize the cystic fibrosis transmembrane conductance regulator without impairing its biogenesis. A novel class of mutation. J Biol Chem. 1999 Jul 30;274(31):21873-7. doi: 10.1074/jbc.274.31.21873.
PubMed 10419506Rowe SM, Miller S, Sorscher EJ. Cystic fibrosis. N Engl J Med. 2005 May 12;352(19):1992-2001. doi: 10.1056/NEJMra043184. No abstract available.
PubMed 15888700Moran A, Dunitz J, Nathan B, Saeed A, Holme B, Thomas W. Cystic fibrosis-related diabetes: current trends in prevalence, incidence, and mortality. Diabetes Care. 2009 Sep;32(9):1626-31. doi: 10.2337/dc09-0586. Epub 2009 Jun 19.
PubMed 19542209Marshall BC, Butler SM, Stoddard M, Moran AM, Liou TG, Morgan WJ. Epidemiology of cystic fibrosis-related diabetes. J Pediatr. 2005 May;146(5):681-7. doi: 10.1016/j.jpeds.2004.12.039.
PubMed 15870674Blackman SM, Tangpricha V. Endocrine Disorders in Cystic Fibrosis. Pediatr Clin North Am. 2016 Aug;63(4):699-708. doi: 10.1016/j.pcl.2016.04.009.
PubMed 27469183Blackman SM, Commander CW, Watson C, Arcara KM, Strug LJ, Stonebraker JR, Wright FA, Rommens JM, Sun L, Pace RG, Norris SA, Durie PR, Drumm ML, Knowles MR, Cutting GR. Genetic modifiers of cystic fibrosis-related diabetes. Diabetes. 2013 Oct;62(10):3627-35. doi: 10.2337/db13-0510. Epub 2013 May 13.
PubMed 23670970Lewis C, Blackman SM, Nelson A, Oberdorfer E, Wells D, Dunitz J, Thomas W, Moran A. Diabetes-related mortality in adults with cystic fibrosis. Role of genotype and sex. Am J Respir Crit Care Med. 2015 Jan 15;191(2):194-200. doi: 10.1164/rccm.201403-0576OC.
PubMed 25479583Adler AI, Shine BS, Chamnan P, Haworth CS, Bilton D. Genetic determinants and epidemiology of cystic fibrosis-related diabetes: results from a British cohort of children and adults. Diabetes Care. 2008 Sep;31(9):1789-94. doi: 10.2337/dc08-0466. Epub 2008 Jun 5.
PubMed 18535191Milla CE, Warwick WJ, Moran A. Trends in pulmonary function in patients with cystic fibrosis correlate with the degree of glucose intolerance at baseline. Am J Respir Crit Care Med. 2000 Sep;162(3 Pt 1):891-5. doi: 10.1164/ajrccm.162.3.9904075.
PubMed 10988101Schaedel C, de Monestrol I, Hjelte L, Johannesson M, Kornfalt R, Lindblad A, Strandvik B, Wahlgren L, Holmberg L. Predictors of deterioration of lung function in cystic fibrosis. Pediatr Pulmonol. 2002 Jun;33(6):483-91. doi: 10.1002/ppul.10100.
PubMed 12001283Moran A, Brunzell C, Cohen RC, Katz M, Marshall BC, Onady G, Robinson KA, Sabadosa KA, Stecenko A, Slovis B; CFRD Guidelines Committee. Clinical care guidelines for cystic fibrosis-related diabetes: a position statement of the American Diabetes Association and a clinical practice guideline of the Cystic Fibrosis Foundation, endorsed by the Pediatric Endocrine Society. Diabetes Care. 2010 Dec;33(12):2697-708. doi: 10.2337/dc10-1768. No abstract available.
PubMed 21115772Smyth AR, Bell SC, Bojcin S, Bryon M, Duff A, Flume P, Kashirskaya N, Munck A, Ratjen F, Schwarzenberg SJ, Sermet-Gaudelus I, Southern KW, Taccetti G, Ullrich G, Wolfe S; European Cystic Fibrosis Society. European Cystic Fibrosis Society Standards of Care: Best Practice guidelines. J Cyst Fibros. 2014 May;13 Suppl 1:S23-42. doi: 10.1016/j.jcf.2014.03.010.
PubMed 24856775Lanng S, Thorsteinsson B, Roder ME, Nerup J, Koch C. Insulin sensitivity and insulin clearance in cystic fibrosis patients with normal and diabetic glucose tolerance. Clin Endocrinol (Oxf). 1994 Aug;41(2):217-23. doi: 10.1111/j.1365-2265.1994.tb02533.x.
PubMed 7923827
Study at a glance
From the registry record, last updated by the sponsor on 7 May 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Characterization of β-cell Function and Insulin Sensitivity in Pre-transplant Patients With Cystic Fibrosis
- ClinicalTrials.gov ID
- NCT04379726
- Acronym / sponsor ID
- FCMilano
- Conditions
- Cystic Fibrosis-related Diabetes
- Keywords
- insulin, beta cell function, insulin resistance
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 150 participants (estimated)
- Lead sponsor
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore PoliclinicoUniversity, hospital or other
- Study start
- 1 Jul 2020 (estimated)
- Primary completion
- 1 Jul 2023 (estimated)
- Study completion
- 1 Sep 2023 (estimated)
- First posted
- 7 May 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Cystic fibrosis is a genetic disorder caused by mutations in the Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) gene, leading to pulmonary infections, sinus disease, pancreatic insufficiency, hepatobiliary disease and male infertility, with respiratory failure being the primary cause of death. Cystic Fibrosis Related Diabetes (CFRD) in one of the most common complication of cystic fibrosis (CF) and it's associated with a worse respiratory and nutritional state, with a negative impact on life expectancy. It differs from type 1 diabetes and type 2 diabetes for particular characteristics making this disease a separated clinical entity.
To date, there is a lack of evidence on many aspects concerning this disease:
- the pathophysiology of the disease: decreased insulin secretion has historically been seen has the major trigger for CFRD, but data about this mechanism are scarce and conflicting. Moreover, the role of insulin-resistance seems to be not consistent, but pulmonary exacerbations are very common and, in this setting, insulin sensitivity can worsen significantly.
- the relationship between its development and particular genetic settings: certain CFTR genotypes are known to be most related to the risk of diabetes, and only few susceptibility genes for type 2 diabetes have been evaluated as potential predisposing factors for CFRD.
- the relationship between the therapeutic optimization and its impact on metabolic status and lung function: CFRD is known to be associated with worse clinical outcomes, reflected in more frequent clinical exacerbations, greater reduction in lung function, poorer nutritional status and decreased survival. It has also been demonstrated that insulin therapy can improve pulmonary function, increase body weight and reduce lung exacerbations. However, no study on the clinical impact of the optimization of insulin therapy on pulmonary outcomes and life expectancy are available in this population.
- finally, no data about potential predisposing pre-transplant risk factors for development of post-transplant DM are available
For this reason, the investigators have structured a study with the aim to:
- characterize the pathophysiological process leading to CFRD, with assessment of the relative contribution of the insulin resistance and the β-cellular secretion impairment
- define the prevalence of CFRD in relation to the mutations of the CFTR gene and to the presence of candidate genes for the development of type 2 diabetes
- perform a proteomic analysis to identify potential proteomic biomarkers among CFRD patients
- evaluate the body composition, muscle performance and respiratory outcomes in patients on insulin therapy, before and after therapeutic optimization, in a follow-up period of 24 months.
- identify eventual predisposing factors for the development of post-transplant diabetes in subjects without pre-transplant CFRD.
Detailed description
The study aims are:
- Task 1: pathophysiological characterization of CFRD with assessment of the relative contribution of the insulin resistance and the β-cellular secretion impairment through the use of a Minimum Model applied to OGTT for the evaluation of insulin sensitivity and secretion
- Task 2: 2a) determination of the prevalence of CFRD in relation to the mutations of the CFTR gene (presence of mutations with residual function of the CFTR protein) 2b) determination of the prevalence of CFRD in relation to the presence of candidate genes for the devel-opment of type 2 diabetes (NOTCH2, BCL11A, THADA, IGFBP-2, PPARG, ADAMTS9, CDKAL1, VEFGA, JAZF1, CDKN2A / 2B, HHEX, CDC123 / CAMK1D, TCF7L2, KCNJ11, DCD, TSPAN8 / LGR5, FTO, WFS1, SLC30A8 and INS). 2c) determination of variations in the proteomic analysis of CFRD patients compared to CF without DM and a control group of healthy individuals.
- Task 3: evaluation of the effect of the therapeutic optimization of glycometabolic control on body composition and respiratory outcomes in patients on insulin therapy, in a follow-up period of 24 months.
- Task 4: identification of predisposing factors for the development of post-transplant diabetes in subjects without CFRD.
METHODS:
All CF patients currently followed at the Unit of Pulmonology of our Center (250 subjects) will be considered eligible for the study.
Total duration of the study: 156 weeks (3 years).
The enrolled patients will be divided into two groups:
GROUP 1: subjects with a negative history for CFRD or with a CFRD diagnosis that does not require insulin therapy GROUP 2: subjects suffering from CFRD in insulin therapy
Protocol 1: Group 1; metabolic and anthropometric evaluation and assessment of insulin sensitivity / secretion.
Protocol 2: Group 1 and Group 2; genetic evaluation / proteomic evaluation Protocol 3: Group 2; pre- and post-intervention metabolic, anthropometric and nutritional assessment.
Protocol 4: Group 1 patients without CFRD undergoing lung transplantation (10); genetic, metabolic, an-thropometric and pre-and post-transplant assessment of insulin sensitivity / secretion.
Patients will undergo a:
- METABOLIC EVALUATION: a venous sampling will be performed for blood glucose, HbA1c, total cholesterol, HDL, triglycerides, blood count, albumin, total proteins, pseudocholinesterase, AST, ALT, GGT, ALP, 25OHvitD
- GENETIC EVALUATION: the investigators will evaluate the specific genetic mutation of the CFTR gene and the presence of gene variants related to the development of DM2 (NOTCH2, BCL11A, THADA, IGFBP-2, PPARG, ADAMTS9, CDKAL1, VEFGA, JAZF1, CDKN2A / 2B, HHEX, CDC123 / CAMK1D, TCF7L2, KCNJ11, DCD, TSPAN8 / LGR5, FTO, WFS1, SLC30A8 and INS)
- PROTEOMIC EVALUATION: the investigators will perform a Mass Spectrometry to identify variations in the protein pattern expression in CFRD patients if compared to CF patients without DM and healthy control individuals. The list of analyzed protein is available in supplemental data 2.
- ANTROPOMETRIC EVALUATION. the anthropometric evaluation will be performed with objective exami-nation (Body Mass Index - BMI, waist circumference - CV and hip circumference - CF) , DEXA total body and bioimpedentiometry
- DYNAMIC EVALUATION OF INSULIN SENSITIVITY AND β CELL SECRETION. Patients will undergo a 5-hours OGTT with serial blood samples and with the application of a Mathematical Model adapted ad hoc (Appendix 1 for a detailed description of the model), in order to quantify the contribution of insulin resistance and β-cell secretion to the development of CFRD
- PULMONARY EVALUATION. According to clinical practice, patients will be subjected to respiratory function tests with the calculation of FEV1 (absolute and percentage), exacerbation rate, rate of severe exacerbation (need of hospitalization), patient-reported outcomes (PROs) obtained from the sCF-quality of life questionnaire, which will be provided to patients in paper form.
SAMPLE SIZE AND STATISTICAL ANALYSIS:
Referring to the primary objective of the project, the observational nature of the study and the absence of evidence about the topic make a precise evaluation of the power of the study a difficult issue. However, considering the number of patients available and followed by our Center (n = 136), it has been calculated that the present study will have the power of 80% and an alpha level equal to 5% to show a significant reduction of at least 25% in the 1st phase secretion in the group of diabetics if compared to the non-diabetic group (assuming a mean value in non-diabetics of 1500 (aggiungere udm) and a SD of 500 (udm) (Pass v. 11 NCSS software, LCC, Kaysville, Utah, USA).
A series of descriptive analyzes will be performed: the continuous variables will be presented as averages and standard deviations or median with interquartile ranges, depending on the distribution. Frequency distributions will be presented as numbers and percentages. Data will also be presented graphically with histograms and "Box-and-Whisker" plots in order to evaluate potential anomalous values, allowing a further data-check phase in order to have reliable data for subsequent analyzes. Differences between the groups will be analyzed using parametric tests (t-test or ANOVA) without repeated tests or repeated tests, depending on the task of the project. If the normality of the distributions were violated (normal test based on the Shapiro-Wilk statistics), non-parametric technical correspondents will be used. Categorical data will be compared using contingency tables through the Chi-square test or Fisher's exact test, where appropriate. All tests will be two-tailed and p-values less than 5% will be considered statistically significant.
A series of descriptive analyzes will be performed: the continuous variables will be presented as averages and standard or median deviations with interquartile ranges, depending on the distribution. Frequency distributions will be presented as numbers and percentages. The data will also be presented graphically through histograms and "Box-and-Whisker" plots in order to evaluate potential anomalous values that will allow a further data-check phase in order to have valid data for subsequent analyzes. The differences between the groups will be analyzed using parametric techniques (t-test or ANOVA) without repeated tests or with repeated tests, depending on the task of the project. If the normality of the distributions was violated (normality test based on the Shapiro-Wilk statistics), corresponding non-parametric techniques will be used. Categorical data will be compared using contingency tables through the Chi-square test or Fisher's exact test, where appropriate. All tests will be two-tailed and a p-values less than 5% will be considered statistically significant.
Study design
- Observational model
- Case-control
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| patients with CFRD | – | Behavioral: therapeutic optimizationPatients with diagnosis of CFRD, after OGTT |
| patients without CFRD | – | –Patients without diagnosis of CFRD, after OGTT |
Who may qualify
- Ages
- 18 to 45 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult
- Study population
- patients will be followed for three years as described in the protocol
Key inclusion criteria (2 listed)
- written informed
- diagnosis of cystic fibrosis
Key exclusion criteria (3 listed)
- celiac disease
- pregnancy
- diagnosis of T1DM
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| therapeutic optimizationpatients with diagnosis of CFRD will undergo the gold standard treatment for the disease (insulin therapy) | Behavioural | patients with CFRD |
Primary outcome
TASK 1: derivative control (DC)
Time frame: 2 YEARS
index of first phase insulin secretion, calculated using the Minimum Model applied to the OGTT in patients with CF and various degrees of glucose homeostasis
TASK 1: proportional control (PC)
Time frame: 2 YEARS
index of second phase insulin secretion, calculated using the Minimum Model applied to the OGTT in patients with CF and various degrees of glucose homeostasis
TASK 1: OGIS-2H
Time frame: 2 YEARS
index of insulin sensitivity, calculated with the appropriate formula applied to the OGTT in patients with CF and various degrees of glucose homeostasis
TASK 2: prevalence of CFRD in relation to the classes of mutations in the CFTR gene
Time frame: 2 YEARS
TASK 3: variation of FEV1
Time frame: 2 YEARS
difference between pre- and post-institution of an optimal glycemic control
TASK 4: incidence of post-transplant diabetes in subjects without CFRD
Time frame: 2 YEARS
3 secondary outcomes
TASK 2: prevalence of candidate genes for DM2 in the population with CF
Time frame: 2 YEARS
TASK2: variations in the protein pattern expression in CFRD population
Time frame: 2 YEARS
TASK 3: variations of other respiratory and muscle-performance parameters
Time frame: 2 YEARS
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 May 2020.
- Results publication: PubMed 25133359MacKenzie T, Gifford AH, Sabadosa KA, Quinton HB, Knapp EA, Goss CH, Marshall BC. Longevity of patients with cystic fibrosis in 2000 to 2010 and beyond: survival analysis of the Cystic Fibrosis Foundation patient registry. Ann Intern Med. 2014 Aug 19;161(4):233-41. doi: 10.7326/M13-0636.
- Results publication: PubMed 29264462Yoon JC. Evolving Mechanistic Views and Emerging Therapeutic Strategies for Cystic Fibrosis-Related Diabetes. J Endocr Soc. 2017 Oct 30;1(11):1386-1400. doi: 10.1210/js.2017-00362. eCollection 2017 Nov 1.
- Results publication: PubMed 10419506Haardt M, Benharouga M, Lechardeur D, Kartner N, Lukacs GL. C-terminal truncations destabilize the cystic fibrosis transmembrane conductance regulator without impairing its biogenesis. A novel class of mutation. J Biol Chem. 1999 Jul 30;274(31):21873-7. doi: 10.1074/jbc.274.31.21873.
- Results publication: PubMed 15888700Rowe SM, Miller S, Sorscher EJ. Cystic fibrosis. N Engl J Med. 2005 May 12;352(19):1992-2001. doi: 10.1056/NEJMra043184. No abstract available.
- Results publication: PubMed 19542209Moran A, Dunitz J, Nathan B, Saeed A, Holme B, Thomas W. Cystic fibrosis-related diabetes: current trends in prevalence, incidence, and mortality. Diabetes Care. 2009 Sep;32(9):1626-31. doi: 10.2337/dc09-0586. Epub 2009 Jun 19.
- Results publication: PubMed 15870674Marshall BC, Butler SM, Stoddard M, Moran AM, Liou TG, Morgan WJ. Epidemiology of cystic fibrosis-related diabetes. J Pediatr. 2005 May;146(5):681-7. doi: 10.1016/j.jpeds.2004.12.039.
- Results publication: PubMed 27469183Blackman SM, Tangpricha V. Endocrine Disorders in Cystic Fibrosis. Pediatr Clin North Am. 2016 Aug;63(4):699-708. doi: 10.1016/j.pcl.2016.04.009.
- Results publication: PubMed 23670970Blackman SM, Commander CW, Watson C, Arcara KM, Strug LJ, Stonebraker JR, Wright FA, Rommens JM, Sun L, Pace RG, Norris SA, Durie PR, Drumm ML, Knowles MR, Cutting GR. Genetic modifiers of cystic fibrosis-related diabetes. Diabetes. 2013 Oct;62(10):3627-35. doi: 10.2337/db13-0510. Epub 2013 May 13.
- Results publication: PubMed 25479583Lewis C, Blackman SM, Nelson A, Oberdorfer E, Wells D, Dunitz J, Thomas W, Moran A. Diabetes-related mortality in adults with cystic fibrosis. Role of genotype and sex. Am J Respir Crit Care Med. 2015 Jan 15;191(2):194-200. doi: 10.1164/rccm.201403-0576OC.
- Results publication: PubMed 18535191Adler AI, Shine BS, Chamnan P, Haworth CS, Bilton D. Genetic determinants and epidemiology of cystic fibrosis-related diabetes: results from a British cohort of children and adults. Diabetes Care. 2008 Sep;31(9):1789-94. doi: 10.2337/dc08-0466. Epub 2008 Jun 5.
- Results publication: PubMed 10988101Milla CE, Warwick WJ, Moran A. Trends in pulmonary function in patients with cystic fibrosis correlate with the degree of glucose intolerance at baseline. Am J Respir Crit Care Med. 2000 Sep;162(3 Pt 1):891-5. doi: 10.1164/ajrccm.162.3.9904075.
- Results publication: PubMed 12001283Schaedel C, de Monestrol I, Hjelte L, Johannesson M, Kornfalt R, Lindblad A, Strandvik B, Wahlgren L, Holmberg L. Predictors of deterioration of lung function in cystic fibrosis. Pediatr Pulmonol. 2002 Jun;33(6):483-91. doi: 10.1002/ppul.10100.
- Related InfoLink provided by the sponsor.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Questions about this trial
What is this clinical trial studying?
An observational study of Cystic Fibrosis-related Diabetes, run by Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 7 May 2020. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Emanuela Orsi, MD (0255034590, emanuela.orsi@policlinico.mi.it), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
TASK 1: derivative control (DC) (time frame: 2 YEARS). The study lists 6 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04379726, which also lists 41 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 May 2020.