Hypogonadism, Type 2 Diabetes Mellitus
Conditions
Keywords
diabetes mellitus, hypogonadism, testosterone, bone quality
Brief summary
Low testosterone and diabetes mellitus are each associated with increased risk for fractures. Men with diabetes mellitus are commonly found to have low testosterone as well. Testosterone has been shown to improve the bone health of patients with low testosterone but has not been tested in patients who also have diabetes mellitus in addition to low testosterone. To date, there is no treatment that is specifically recommended for bone disease among patients with diabetes. This study will evaluate the effect of testosterone on the bone health of male Veterans who have both diabetes and low testosterone, both of which are highly prevalent in this subset of the population.
Detailed description
An existing mutual influence between testosterone (T) and glucose metabolism has been suggested by studies showing that men with low T have impaired glucose tolerance, while a significant number of men with type 2 diabetes mellitus (T2D) and obesity have low T. Thus, it is not surprising that as much as 64% of men with T2D were found to have low T. Hypogonadism and diabetes mellitus (DM) each is associated with increased risk for fractures. While hypogonadism is associated with increased bone turnover and bone loss. DM is associated with low bone turnover and normal or high bone mineral density (BMD) but paradoxically a high risk for fractures. The preliminary data showed that compared to non-diabetic hypogonadal men, men with both conditions have suppressed bone turnover, higher volumetric BMD (vBMD) and smaller bone size. As the effect of T on the male skeleton is mainly mediated by its conversion to estradiol (E2) by the enzyme aromatase, the possibility of further suppression of bone turnover with T therapy in these patients would be a concern. However, the investigators' initial data also showed that T therapy in men with both conditions resulted in increased in markers of bone turnover and bone size compared to the decrease in bone turnover and decrease in bone size in men with hypogonadism only, suggesting activation in bone remodeling and improvement in bone geometry in the former. Furthermore, the investigators also found a trend for increase in bone strength (by finite element analysis or FEA) in the limited number of men with both low T and T2D randomized to T compared to placebo. These findings only suggest but do not prove with certainty that T therapy would be beneficial to men with both low T and T2D. The central hypothesis of this study is that T therapy will result in improvement in bone quality in patients who have both hypogonadism and T2D. Thus, the specific aims of this proposal are: 1) to determine the effect of T therapy on bone strength as assessed by finite element analysis ( FEA) using high-resolution peripheral quantitative computer tomography (HR-pQCT), 2) to determine the effect of T therapy on markers of bone turnover, and 3) an exploratory aim, to evaluate the mechanism for improvement in bone quality from T therapy. The investigators hypothesize that because T stimulates osteoblastic proliferation and differentiation, the ensuing increase in osteoblast number will lead to an enhanced cross-talk between osteoblast and osteoclast resulting in activation of bone remodeling and replacement of old with new bone, hence, improvement in bone quality. In this study the investigators will enroll 166 men with T2D and hypogonadism and randomize them to either testosterone gel 1.62% or placebo for 12 months. The following main outcomes will be evaluated: aim# 1) change in the primary endpoint which is FEA, by HRpQCT, #2) changes in C-telopeptide (CTX) a marker of bone resorption, and aim #3) changes in circulating osteoblast progenitor (COP). The investigators anticipate an increase in FEA at the tibia and radius suggesting improvement in bone strength, increase CTX and increase in circulating osteoblast progenitors. The investigators further anticipate an increase in other markers of bone turnover (both bone formation and resorption) and osteoclast precursors in men with hypogonadism and T2D randomized to T compared to placebo. Given the suppressed bone turnover at baseline in men with low T and T2D, the investigators hypothesize that the beneficial effect of T is its effect in activating bone remodeling ultimately resulting in improvement in bone quality. Results from this study will provide information on the utility of T not only in improving quality of life but also in improving bone quality in hypogonadal men with T2D. Given the relationship between glucose metabolism and testosterone production, and the increasing number of male patients diagnosed with both hypogonadism and T2D, this study will benefit not only the significant number of male Veterans who have both conditions but also men in general.
Interventions
Testosterone gel 1.62%, apply 2 pumps to upper arm and shoulder.
Matching placebo gel, apply 2 pumps to upper arm and shoulder
Sponsors
Study design
Masking description
No other parties will be masked.
Intervention model description
Double-blind randomized placebo-controlled study comparing the effect of testosterone therapy in men with both type 2 diabetes mellitus and hypogonadism on bone quality, bone turnover markers and circulating osteoblast and osteoclast progenitors.
Eligibility
Inclusion criteria
* Male veterans only * 35 to 70 years old * With an average fasting morning T level from 2 measurements of \<300 ng/dl taken at least a day apart * symptoms of hypogonadism as assessed using the androgen deficiency in aging male (ADAM) questionnaire * Participants should have * T2D * an A1C of \<11.5 % * a fasting blood sugar of 180 mg/dl * body mass index (BMI) \<40 kg/m2 * with DM of 15 years duration or less to target men who have relatively less complications from long-term DM
Exclusion criteria
* history of prostate or breast cancer * history of testicular disease * untreated severe sleep apnea * ongoing illness that could prevent the subject from completing the study * a hematocrit of \>50% * prostate-related findings as: * a palpable prostate nodule on digital rectal exam (DRE) * serum PSA of 4.0 ng/ml * International Prostate Symptom Score (IPSS) \>19 (severe) * on androgen therapy or selective androgen receptor modulators * on medications that affect bone metabolism such as: * estrogen * selective estrogen receptor modulator as: * raloxifene * aromatase inhibitors * GnRH analogs * glucocorticoids with prednisone equivalent of least 5 mg daily for 1 month * anabolic steroids * phenobarbital and Dilantin * use of bisphosphonates within two years of study entry, i.e.: * risedronate * alendronate * zoledronic acid * pamidronate * diseases that interfere with bone metabolism, as: * hyperparathyroidism * untreated hyperthyroidism * osteomalacia * chronic liver disease * renal failure with estimated glomerular filtration rate of \<45 ml/min * hypercortisolism * malabsorption * immobilization * current alcohol use of \> 3 drinks/day * those with a history of: * deep vein thrombosis * pulmonary embolism * recent stroke or recent diagnosis of coronary artery disease of \< 6 months * because of the potential of being randomized to placebo, subjects with osteoporosis or a BMD T-score by DXA of -2.5 in the lumbar spine, total femur or femoral neck and those with a history of fragility fractures * spine * hip * wrist
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Finite Element Analysis of Bone to Measure Bone Strength | months 0, 6 and 12 | The FEA (or FEA) is a surrogate measure of strength using computational biomechanical principles and integrate bone morphology and bone mass to calculate bone strength under various loading conditions normally seen in daily living activities. In addition, the ratio of load to strength can be calculated by using patient information (i.e. weight and height) and FEA derived bone strength to mechanistically simulate bone failure and thus, whether fracture is likely during a given activity. Using high-resolution peripheral quantitative computer tomography (HRPQCT) we will compute for FEA, using FEA software with images generated using Image Processing Language to estimate the biomechanical properties of the bone. Each bone voxel will be converted to hexahedral finite elements with linear-elastic and isotropic material behavior. The FEA model will be subject to uniaxial compression and stiffness and failure load will be estimated. FEA will be assessed at months 0, 6 and 12. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Markers of Bone Turnover to Measure Bone Metabolism | months 0, 6 and 12 | Two markers of bone resorption, serum C-telopeptide (CTX) and tartrate-resistant acid phosphatase 5b (TRAP5b) and 2 markers of bone formation osteocalcin (OCN) and N-terminal propeptide of type 1 collagen (P1NP) will be evaluated. These markers will be obtained at months 0, 6, and 12. Enzyme-linked immunosorbent assay will be used to measure serum CTX (serum crosslaps, Osteometer, Hawthorne, CA), tartrate-resistant acid phosphatase 5b (TRAP5b) (EIA) (Microvue Bonehealth, Quidel Corporation, Biosource); and serum osteocalcin (ALPCO, Salem, NH). Serum P1NP will be measured by competitive radioimmunoassay (UniqTM P1NP RIA, Immunodiagnostic Systems, Scottsdale, AZ). Coefficients of variations for these assays are \<10%. |
| Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | months 0, 6 and 12 | Osteoblast and osteoclast progenitor cells will be harvested from the serum at baseline, 6 and 12 months. |
Countries
United States
Contacts
Michael E. DeBakey VA Medical Center, Houston, TX
Participant flow
Recruitment details
Participants were recruited by flyers and letters from the Primary Care and Endocrine Clinics at the Michael E. DeBakey VA Medical Center. The study was open to enrollment on October 1, 2019 and closed on September 30, 2024.
Pre-assignment details
There were 467 subjects who responded to our study advertisement. Three hundred ninety-five came for orientation, consent and screening, while 72 declined to come. Three hundred three were not enrolled; 271 failed our screening procedures from either laboratory tests or significant past medical history that constitutes an exclusion from the study, 21 did not finish the required screening tests and 11 decided not to proceed with the study.
Participants by arm
| Arm | Count |
|---|---|
| Testosterone Arm Testosterone gel 1.62%: Testosterone gel 1.62%, apply 2 pumps to upper arm and shoulder. | 46 |
| Placebo Arm Matching placebo will be prepared by the Michael DeBakey VA Medical Center Pharmacy.
Placebo: Matching placebo gel, apply 2 pumps to upper arm and shoulder | 46 |
| Total | 92 |
Baseline characteristics
| Characteristic | Testosterone Arm | Placebo Arm | Total |
|---|---|---|---|
| Age, Categorical <=18 years | 0 Participants | 0 Participants | 0 Participants |
| Age, Categorical >=65 years | 0 Participants | 1 Participants | 1 Participants |
| Age, Categorical Between 18 and 65 years | 46 Participants | 45 Participants | 91 Participants |
| Age, Continuous | 53.7 years STANDARD_DEVIATION 6.8 | 55.5 years STANDARD_DEVIATION 6.6 | 54.6 years STANDARD_DEVIATION 6.8 |
| Ethnicity (NIH/OMB) Hispanic or Latino | 6 Participants | 9 Participants | 15 Participants |
| Ethnicity (NIH/OMB) Not Hispanic or Latino | 40 Participants | 37 Participants | 77 Participants |
| Ethnicity (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) American Indian or Alaska Native | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Asian | 4 Participants | 1 Participants | 5 Participants |
| Race (NIH/OMB) Black or African American | 18 Participants | 15 Participants | 33 Participants |
| Race (NIH/OMB) More than one race | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Native Hawaiian or Other Pacific Islander | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) Unknown or Not Reported | 0 Participants | 0 Participants | 0 Participants |
| Race (NIH/OMB) White | 24 Participants | 30 Participants | 54 Participants |
| Region of Enrollment United States | 46 Participants | 46 Participants | 92 Participants |
| Sex: Female, Male Female | 0 Participants | 0 Participants | 0 Participants |
| Sex: Female, Male Male | 46 Participants | 46 Participants | 92 Participants |
Adverse events
| Event type | EG000 affected / at risk | EG001 affected / at risk |
|---|---|---|
| deaths Total, all-cause mortality | 0 / 46 | 0 / 46 |
| other Total, other adverse events | 10 / 46 | 8 / 46 |
| serious Total, serious adverse events | 3 / 46 | 4 / 46 |
Outcome results
Finite Element Analysis of Bone to Measure Bone Strength
The FEA (or FEA) is a surrogate measure of strength using computational biomechanical principles and integrate bone morphology and bone mass to calculate bone strength under various loading conditions normally seen in daily living activities. In addition, the ratio of load to strength can be calculated by using patient information (i.e. weight and height) and FEA derived bone strength to mechanistically simulate bone failure and thus, whether fracture is likely during a given activity. Using high-resolution peripheral quantitative computer tomography (HRPQCT) we will compute for FEA, using FEA software with images generated using Image Processing Language to estimate the biomechanical properties of the bone. Each bone voxel will be converted to hexahedral finite elements with linear-elastic and isotropic material behavior. The FEA model will be subject to uniaxial compression and stiffness and failure load will be estimated. FEA will be assessed at months 0, 6 and 12.
Time frame: months 0, 6 and 12
Population: There were 2 dropouts in the testosterone group thus, 44 participants finished the study. However, the imaging studies of one patient who finished the study is not optimum for FEA.~There were 4 dropouts in the placebo thus, 42 participants finished the study. However, the investigators were unable to assess the finite element analysis in one patient as HRPQCT machine broke down when the participant came for final visit and refused to come again just for this assessment.
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of radius at 6 months | 1.2 % change | Standard Deviation 8.7 |
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of tibia at 12 months | -0.01 % change | Standard Deviation 5.3 |
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of radius at 6 months | 1.6 % change | Standard Deviation 10.4 |
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of tibia at 6 months | -0.50 % change | Standard Deviation 5.2 |
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of tibia at 6 months | -0.41 % change | Standard Deviation 8.3 |
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of the radius at 12 months | 0.69 % change | Standard Deviation 8.3 |
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of tibia in 12 months | 0.08 % change | Standard Deviation 4.4 |
| Testosterone Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of radius at 12 months | 0.74 % change | Standard Deviation 8.3 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of tibia at 6 months | -0.36 % change | Standard Deviation 5.8 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of the radius at 12 months | 0.52 % change | Standard Deviation 7.5 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of radius at 6 months | 1.6 % change | Standard Deviation 11.6 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of radius at 12 months | 0.09 % change | Standard Deviation 8.5 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of radius at 6 months | 0.88 % change | Standard Deviation 8.4 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of tibia at 12 months | 0.44 % change | Standard Deviation 5 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in stiffness of tibia at 6 months | -0.45 % change | Standard Deviation 6.8 |
| Placebo Arm | Finite Element Analysis of Bone to Measure Bone Strength | Change (%) from baseline in failure load of tibia in 12 months | 0.37 % change | Standard Deviation 4.4 |
Markers of Bone Turnover to Measure Bone Metabolism
Two markers of bone resorption, serum C-telopeptide (CTX) and tartrate-resistant acid phosphatase 5b (TRAP5b) and 2 markers of bone formation osteocalcin (OCN) and N-terminal propeptide of type 1 collagen (P1NP) will be evaluated. These markers will be obtained at months 0, 6, and 12. Enzyme-linked immunosorbent assay will be used to measure serum CTX (serum crosslaps, Osteometer, Hawthorne, CA), tartrate-resistant acid phosphatase 5b (TRAP5b) (EIA) (Microvue Bonehealth, Quidel Corporation, Biosource); and serum osteocalcin (ALPCO, Salem, NH). Serum P1NP will be measured by competitive radioimmunoassay (UniqTM P1NP RIA, Immunodiagnostic Systems, Scottsdale, AZ). Coefficients of variations for these assays are \<10%.
Time frame: months 0, 6 and 12
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Testosterone Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in osteocalcin at 12 months | 7.8 % Change | Standard Deviation 63 |
| Testosterone Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in osteocalcin from baseline at 6 months | -9.7 % Change | Standard Deviation 47.5 |
| Testosterone Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in N-terminal peptide of type 1 collagen (P1NP) from baseline at 6 months | -8.6 % Change | Standard Deviation 56.1 |
| Testosterone Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in C-telopeptide (CTX) from baseline at 6 months | -81.6 % Change | Standard Deviation 10.6 |
| Testosterone Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in P1NP from baseline at 12 months | 2.31 % Change | Standard Deviation 60.2 |
| Testosterone Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in CTX from baseline at 12 months | 15.7 % Change | Standard Deviation 64.2 |
| Placebo Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in P1NP from baseline at 12 months | -23.1 % Change | Standard Deviation 56.6 |
| Placebo Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in osteocalcin from baseline at 6 months | 17.4 % Change | Standard Deviation 88.8 |
| Placebo Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in osteocalcin at 12 months | 33.8 % Change | Standard Deviation 87.5 |
| Placebo Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in C-telopeptide (CTX) from baseline at 6 months | -80.4 % Change | Standard Deviation 12.5 |
| Placebo Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in CTX from baseline at 12 months | -1.4 % Change | Standard Deviation 51.7 |
| Placebo Arm | Markers of Bone Turnover to Measure Bone Metabolism | Change (%) in N-terminal peptide of type 1 collagen (P1NP) from baseline at 6 months | -31.1 % Change | Standard Deviation 34.5 |
Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone
Osteoblast and osteoclast progenitor cells will be harvested from the serum at baseline, 6 and 12 months.
Time frame: months 0, 6 and 12
Population: Out of the 44 participants who finished the study in testosterone arm, the cells did not stain in 3 patients. Out of the 42 participants who finished in the placebo, cells did not stain in one and the another was unable to provide enough blood sample for analysis at the end of the study
| Arm | Measure | Group | Value (MEAN) | Dispersion |
|---|---|---|---|---|
| Testosterone Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoblast progenitor cells from baseline at 6 months | 5.1 % Change | Standard Deviation 40.5 |
| Testosterone Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoblast progenitor cells from baseline at 12 months | 10.8 % Change | Standard Deviation 55.2 |
| Testosterone Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoclast precursors from baseline at 6 months | 68.4 % Change | Standard Deviation 161.6 |
| Testosterone Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoclast precursors from baseline at 12 months | 59.1 % Change | Standard Deviation 161 |
| Placebo Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoclast precursors from baseline at 12 months | 56.0 % Change | Standard Deviation 130.1 |
| Placebo Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoblast progenitor cells from baseline at 6 months | -4.4 % Change | Standard Deviation 36.9 |
| Placebo Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoclast precursors from baseline at 6 months | 19.2 % Change | Standard Deviation 104.4 |
| Placebo Arm | Osteoblast and Osteoclast Progenitor Cells Which Are Cells Found in Bone | Change (%) in osteoblast progenitor cells from baseline at 12 months | -10.4 % Change | Standard Deviation 29.5 |