Denosumab and Male Infertility: a RCT

June 11, 2023 updated by: Martin Blomberg Jensen

Denosumab and Male Infertility: a Randomized Controlled Double-blinded Intervention Study

To determine the significance of systemic RANKL inhibition for male reproduction, conducting a clinical controlled randomized double blinded intervention study on infertile men, to investigating whether Denosumab (Prolia) can increase semen quality and to investigate what subgroup of infertile men that might benefit from treatment.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Detailed Description

INTRODUCTION

Infertility is a serious problem estimated to affect 7-26% of all couples globally (1;2). Approximately 9% of all newborns were conceived by assisted reproductive techniques in 2013 in Denmark (Danish Fertility Society). Impaired semen quality is the causal or contributing factor in almost 50% of all cases of infertility (3;4). Today, there exist no treatments that can improve semen quality of most infertile men. Instead, the vast majority of infertile couples are treated with assisted reproductive techniques (ART) independently of the aetiology (maternal/paternal) causing the infertility (3;5-8). The treatment choice ranges from mild intrauterine inseminations (IUI) to more invasive in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI). ART is successful for more than 70% of all couples. However, ART is very expensive and associated with maternal side effects due to the invasive methodology and the need for hormonal treatment, often for several months (9-11). Infertility is also a financial burden to society due to the costs of ART to maintain an acceptable annual birth rate.

Fertility potential determined by semen quality is established already as a fetus (12). In case the testes don't develop normally, reduced semen quality in adulthood will be the result as a result of impaired Sertoli cell function. Up until today it has barely been investigated whether intervention during adulthood can improve semen quality.

Our recent studies using both human testis and Vitamin D receptor knock-out mice revealed that the vitamin D regulated bone factor RANKL is expressed in the testis (13;14). This is a novel finding, because up until now RANKL has only been known to affect bone homeostasis and to some extend influence the immune system, inflammation and lactation (15;16). In the skeleton RANKL is expressed in osteoblasts and binds to its specific receptor RANK in osteoclasts to induce osteoclastogenesis and bone resorption (17). This activation is controlled by osteoprotegerin (OPG), which binds to the ligand domain of RANKL and thus inhibits RANK activation and osteoclastogenesis, ultimately reducing bone resorption (18). This knowledge has been utilized into development of an OPG-analogue drug, a recombinant human monoclonal IGg2 antibody Denosumab (Prolia by Amgen), which inhibits RANKL and thereby bone resorption and is indicated for use in both osteoporosis and bone metastases (19;20). Prolia has in several clinical studies shown to be safe and is approved as treatment for osteoporosis in both men and women (21-24). Newer data indicate that RANKL/OPG may be involved in regulation of pancreatic function, insulin and glucagon production which support a possible indirect effect on reproduction through bone-pancreatic-gonadal axis.

AIM OF STUDY

To determine the significance of systemic RANKL inhibition for male reproduction by investigating whether Denosumab (Prolia) can increase semen quality and particularly to identify the group of men that will benefit from the treatment.

DESIGN

Single center, prospective randomized double blinded* clinical controlled intervention.

Patients and methods:

95 infertile men, otherwise healthy, will be recruited among men referred to investigation for infertility at the outpatient clinic at Dpt. of Growth and Reproduction, Rigshopitalet. Neither choosing to participate, nor declining, will affect further outpatient clinic treatment.

The 95 participants are randomly allocated to receiving either

  • Denosumab s.c. injection 60 mg x1, or
  • Placebo, Sodium Chloride s.c. injection x 1

All participants deliver semen samples, blood samples and have DXA-scan performed before and after intervention. All receive supplements with Vitamin D and calcium to avoid hypocalcaemia, a known, temporary side effect to Denosumab.

*double blinded studies require that placebo and active substance are identical. Placebo can only be obtained from Amgen and we were not able to receive or purchase placebo. Instead the study will be double blinded to patient, medical doctors and all who participates in data-handling and analyses - only one nurse giving the medicine will be unblinded. She will know whether she injects active substance or placebo.

Inclusion criteria

  • Men > 18 years of age referred due to infertility in need for further investigation with
  • Sperm concentration ≥ 0,05 mio./ml.
  • Sperm concentration <15 mio./ml or
  • <40 % motile spermatozoer (ABC) or
  • <4 % morphologically normal sperm (strict criteria)

Exclusion criteria

  • Men with chronic diseases (diabetes mellitus, thyroid disease, endocrine diseases requiring treatment, malignant diseases or diseases known to be affected by- or interfere with vitamin D supplements (granulomatous diseases such as sarcoidosis, tuberculosis, wegeners, vasculitis as well as inflammatory bowel diseases e.g. chron's disease or ulcerative colitis etc.).
  • Men with active or previous malignant disease
  • Any case with indication for testis biopsy,
  • Total calcium < 2.14 mmol/l
  • 25-OH Vitamin D < 25 nmol/L
  • Poor dental status or dental implants
  • Men with obstructive oligospermia or who has been vasectomized
  • Serum Inhibin B < 30 pg/ml
  • Abnormal karyotype
  • Patients practicing excessive exercise

SAMPLE SIZE CALCULATION AND STATISTICS

With a test level of 5% (level of significance), a power of 80% and 40 men in each group will we be able to detect a change in total number of motile sperm of 75%, and a change in sperm concentration (indexed to baseline value) of 25%.

We expect to include a total of 95 men, to take into account the possibility of dropouts. This corresponds to a dropout rate of 10%, in case the rate is lower, chances of detecting a significant difference will be above 80%.

Since we expect 50% of all infertile men in the outpatient clinic, to meet inclusion criteria and 50% of these to consent to participation, we anticipate screening of 380 men in total.

BIOSTATISTICAL ANALYSIS

All the analyses will be performed according to Good Clinical Practice guidelines and the primary analyses in the intention-to-treat population, which included all patients who underwent randomization and received the first dose of medicine on day 1. We will analyze the data in 2 ways. The primary analysis will proceed according to the randomized group assignment. The secondary analysis will be based on stratifying the men according to subgroup analyses in relation to the predefined primary and secondary endpoints.

The primary end points for this protocol will be changes in sperm production evaluated by: total motile spermatozoa (106), total progressive motile spermatozoa (106), total spermatozoa (106) or sperm concentration (106/ml). Due to the low sample size and large intraindividual variation in sperm production primary endpoints will also be evaluated after normalization to the mean average level prior to the intervention. Based on the first intervention estimated 60% of the men will benefit from the treatment and this study is designed to determine whether serum OPG, RANKL or phosphate can be used to identify men who will benefit from the treatment. The use of these specified endpoints will be useful for determining efficacy. Multiple secondary endpoints exist but for the initial investigation focus will be on: Sperm DFI, morphology, motility, semen volume, pregnancy rate, Inhibin B, vitamin D and calcium homeostasis. Subjects who terminate participation after visit at 80 days but before visit day 160 will be included for data analysis up to day 80. Men that only deliver one semen sample or have missing data at any visit will still be included in the analysis. Men with fever up to 3 months prior to semen analysis will be considered as a potential confounder. Those values will then be carried forward for analyses. A significance level of 5% is used. For the primary analyses Bonferroni-Holm p-value correction is calculated additionally. For the secondary analysis no multiple test correction are used. Instead results are discussed in view of the multiple testing situations.

  1. Analyses between placebo versus active substance: The first step will be to compare the changes in primary outcomes across the two groups. This analysis will show if there is a significant difference between groups. For all endpoints measured at baseline and day 80 and 160, paired t-tests will be used to assess whether there is a significant difference between the groups and determine whether the mean change within each group differs significantly from zero. In both cases, data will be transformed as necessary to meet model assumptions. Due to assumed differences in duration of abstinence the same analyses will be conducted after exclusion of men with duration <48 hours prior to or after 80 days treatment. Afterwards, the initial analysis will be conducted by using multiple regression with relevant confounders such as season, BMI, smoking, age, duration of abstinence, time from ejaculation to motility assessment, fever etc. to see if this changes the results. For outcomes measured that cannot be compared with t-test or other parametric tests at day 1, day 80 and day 160, groups will be compared using non-parametric tests such as Wilcoxon Mann-Whitney test. For Binary outcome the data will be compared between the two groups by means of conditional logistic-regression analysis with adjustment for relevant confounders (defined as being significantly p<0.05 associated). For outcomes measured repeatedly, this will entail comparing the estimated slopes, or rates of change, of each outcome between the groups. Mixed models allow for the correlation between the repeated observations baseline-day 1-day 80- day 160 from each man to be suitably incorporated into parameter estimation. Sperm production variables will be normalized to baseline levels to avoid the huge interindividual variation in sperm count and sperm concentration
  2. Subgroup analysis will be essential in this study because we expect that around 60% of the men will benefit from treatment with Denosumab. Analyses after stratification into subgroups will therefore be used to identify a marker for selecting the men who will benefit from the treatment Subjects will be grouped according to their serum OPG and/or RANKL, RANKL/OPG ratio, their DNA-fragmentation-Index prior to the start of intervention. Afterwards other potential predictors of treatment response will be tested such as BMI, S-calcium, s-phosphate, BMD, semen quality, Inhibin b, FSH at day 80 and day 160. For Serum OPG such stratification could be in two groups separated by for instance 3 pg/ml or three groups, <3, 3-4 and above 4pg/ml. Likewise for RANKL and RANKL/OPG ratio and for DNA-fragmentation-Index stratification could also be in two groups separated by e.g. DFI of 40%. The subgroup analyses will be in accordance with normal clinical practice and stratification in appropriate groups according to the clinical or highest/lowest groups.

SCREENING AND TIME COURSE

The study will be initiated January 2017 and ends when the last person has been included latest January 2021.

OUTCOME MEASUREMENTS

Endpoints:

Primary endpoints

• Change in semen production (total motile spermatozoa, progressive motile spermatozoa, sperm count, sperm concentration)

Secondary endpoints

  • Change in semen quality (-motility, -morphology, semen volume)
  • Change in DNA fragmentation (DFI)rate in sperm
  • Change in serum Inhibin-B
  • Change in serum levels of reproductive hormones (FSH, LH, AMH, testosterone, estradiol and SHBG)
  • Change in serum prolactin level
  • Change in fasting glucose level
  • Change in fastin insulin level
  • Change in c-peptide
  • Change in HbA1c
  • Change in lipid profile
  • Change in bone mineral density evaluated by DXA.
  • Change in serum level of inactive vitamin D, 1,25(OH)2D3, 25-OHD3, 24,25(OH)2D3, PTH, alkaline phosphatase, ionized calcium, phosphate, FGF23, Klotho, osteocalcin, matrix gla, osteopontin, calcitonin, pnp, procollagen III, OPG, RANKL, Sclerostin as well as other bone marker.
  • Change in choice of assisted reproductive assistance technique as well as conceived pregnancies
  • Change in spontaneous conception rate
  • Change in live birth rate
  • Change in number of spermatozoa expressing RANKL
  • Change in semen pH, HCO3-, calcium, zink, phosphate, RANKL, RANK, OPG, FGF23, Klotho, osteocalcin, osteopontin. VDB, 24,25OH2
  • Difference in infection rate in the two groups

SETTING, SCIENTIFIC PLAN AND RECRUITMENT

Participants will be included among men referred to the Department of Growth and Reproduction (dept. of GR), Rigshospitalet (RH) for evaluation of male infertility

This is a prospective, double blinded, two-arm randomized controlled trial. Group of intervention: Each man will receive Denosumab 60 mg x 1 sc at day 1 only Group receiving placebo: Will follow the same chain of events, although Denosumab will be replaced with saline

All men will be offered the same vitamin D and calcium supplementation starting prior to initiation of the treatment start of Denosumab or placebo: vitamin D 15 microgram and calcium 400 mg once daily.

PARTICIPANTS

Screening of ~500 infertile men will be performed. The investigators assume that ~300 men will be excluded and ~100 men do not wish to participate. Thus, 95 men will be included in the study and half will be randomized to active treatment. The investigators expect a small drop out (<5) because of high motivation and no adverse effects.

ANALYSIS AND INTERVENTION

Reproductive hormones and semen will be analyzed at dept. of GR, Rigshospitalet.

ETHICS AND SIDE EFFECTS

All the patients will have full-filled their investigation, before they are invited to the study. They will be informed of potential adverse effects, and they can leave the trial at any point without any consequences.

Denosumab is proven to be safe in several randomized studies, and is already approved by both FDA and EMA. All side effects will be closely monitored, registered and in case of either unexpected frequency of adverse effects or unexpected clinical complications it will be published.

Based on previous fertility studies at our department we expect a large proportion of the out clinic-patients will wish to participate. In our opinion the outlined study is ethical sound, and we believe that in order to generate future recommendations, randomized clinical trials are necessary.

PUBLICATION OF RESULTS

All results, positive or negative will be submitted to peer reviewed scientific journals. Data will successively be obtained and transferred to a statistical database.

Study Type

Interventional

Enrollment (Estimated)

95

Phase

  • Phase 2

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Copenhagen, Denmark, 2100
        • Department of Growth and Reproduction, Rigshospitalet

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years to 64 years (Adult)

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Men > 18 years of age refered due to infertility in need for further investigation with
  • Sperm count > 0,05 mio./ml.
  • The men have either sperm count <15 mio./ml or
  • <40 % motile spermatozoer (A) or
  • <4 % morphological normale spermatozoer (strict criteria)

Exclusion Criteria:

  • Men with chronic diseases (diabetes mellitus, thyroid disease, endocrine diseases requiring treatment, malignant diseases or diseases known to be affected by- or interfere with vitamin D supplements (granulomatous diseases such as sarcoidosis, tuberculosis, wegeners, vasculitis as well as inflammatory bowel diseases e.g. chron's disease or ulcerative colitis etc).
  • Men with active or previous malignant disease
  • Any case with indication for tesis biopsy,
  • Serum ionized calcium < 1,15 mmol/l
  • Total calcium < 2.14 mmol/l
  • Poor dental status og dental implants
  • Men with obstructive oligospermia or who has been vasectomized
  • Serum Inhibin B < 30 pg/ml
  • Abnormal karyotype
  • Patients practising excessive exercise

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Denosumab
subcutaneous injection with 60 mg Denosumab once
NaCl 0.9% injection is used as placebo
Other Names:
  • Prolia
Placebo Comparator: Placebo
subcutaneous injection with NaCl once
NaCl 0.9% injection is used as placebo
Other Names:
  • Prolia

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in semen production (total motile spermatozoa, progressive motile spermatozoa, spermatozoa-count, spermatozoa-concentration)
Time Frame: 80 days and 160 days after intervention
semen analysis
80 days and 160 days after intervention

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in semen quality (-motility, -morphology of semen volume)
Time Frame: 80 days,160 days after intervention
semen analysis
80 days,160 days after intervention
Change in DNA fragmentation (DFI) in spermatozoa
Time Frame: 80 days after intervention
semen analysis
80 days after intervention
Change in serum Inhibin-B concentration
Time Frame: 80 days and 160 days after intervention
blood sample
80 days and 160 days after intervention
Change in serum levels of reproductive hormonea (FSH, LH, AMH, testosterone, estradiol inhibin B/FSh ratio and SHBG)
Time Frame: 80 days and 160 days after intervention
blood sample
80 days and 160 days after intervention
Change in bone mineral density evaluated by DXA
Time Frame: 80 days and 160 days after intervention
DXA
80 days and 160 days after intervention
• Change in serum level of inactive vitamin D, 1,25(OH)2D3, 25-OHD3, 24,25(OH)2D3, PTH, alkaline phosphatase, ionized calcium, phosphate, FGF23, Klotho, osteocalcin
Time Frame: 80 days and 160 days after intervention
blood sample
80 days and 160 days after intervention
Change in choice of assisted reproductive assistance technique as well as conceived pregnancies
Time Frame: 80 days,160 days and 365 days after intervention
patient file
80 days,160 days and 365 days after intervention
Change in spontaneous conception rate.
Time Frame: 80 days,160 days and 365 days after intervention
patient file, interview
80 days,160 days and 365 days after intervention
Change in number of spermatozoa expressing RANKL
Time Frame: 80 days and 160 days after intervention
cytospin
80 days and 160 days after intervention
Change in semen pH, HCO3-, calcium, zink, phosphate, RANKL, RANK, OPG, FGF23, Klotho, osteocalcin, osteopontin.
Time Frame: 80 days and 160 days after intervention
seminal anlysis
80 days and 160 days after intervention
Difference in infection rate in the two groups
Time Frame: 80 days and 160 days after intervention
patient history
80 days and 160 days after intervention
Change in serum level of osteopontin, calcitonin, pnp, procollagen III, OPG, RANKL, Sclerostin as well as other bone marker
Time Frame: 80 days and 160 days after intervention
80 days and 160 days after intervention
Change in live birth rate
Time Frame: 80 days,160 days and 365 days after intervention
patient file telephone interview
80 days,160 days and 365 days after intervention
Change in serum prolactin level
Time Frame: 80 and 160 days after intervention
80 and 160 days after intervention
Change in fasting glucose level
Time Frame: 80 and 160 days after intervention
80 and 160 days after intervention
Change in lipid profile
Time Frame: 80 and 160 days after intervention
80 and 160 days after intervention
Change in fasting insulin level Change in c-peptide Change in HbA1c
Time Frame: 80 and 160 days after intervention
80 and 160 days after intervention
succesful fertilization (blastocyst) versus pregnancies versus live birth
Time Frame: 365 days after intervention
spontaneous, IVF, ICSI
365 days after intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Li J Mortensen, MD, Rigshospitalet, Dpt. of Growth and Reproduction, section GR 5064, Blegdamsvej 9, 2100 Copenhagen, Denmark
  • Study Chair: martin Blomberg Jensen, MD, Rigshospitalet, Dpt. of Growth and Reproduction, section GR 5064, Blegdamsvej 9, 2100 Copenhagen, Denmark

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2017

Primary Completion (Actual)

January 1, 2021

Study Completion (Actual)

May 1, 2023

Study Registration Dates

First Submitted

January 20, 2017

First Submitted That Met QC Criteria

January 20, 2017

First Posted (Estimated)

January 24, 2017

Study Record Updates

Last Update Posted (Estimated)

June 13, 2023

Last Update Submitted That Met QC Criteria

June 11, 2023

Last Verified

June 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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