Recovery of male reproductive endocrine function after ceasing prolonged testosterone undecanoate injections

in European Journal of Endocrinology
Authors:
David J HandelsmanANZAC Research Institute, University of Sydney, Sydney, New South Wales, Australia
Department of Andrology, Concord Hospital, Concord, Australia

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Reena DesaiANZAC Research Institute, University of Sydney, Sydney, New South Wales, Australia
Department of Andrology, Concord Hospital, Concord, Australia

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Ann J ConwayANZAC Research Institute, University of Sydney, Sydney, New South Wales, Australia
Department of Andrology, Concord Hospital, Concord, Australia

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Nandini Shankara-NarayanaANZAC Research Institute, University of Sydney, Sydney, New South Wales, Australia
Department of Andrology, Concord Hospital, Concord, Australia

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Bronwyn G A StuckeyDepartment of Endocrinology and Diabetes, Keogh Institute for Medical Research, Sir Charles Gairdner Hospital and University of Western Australia, Western Australia, Australia

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Warrick J InderPrincess Alexandra Hospital and the University of Queensland, Queensland, Australia

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Mathis GrossmannThe Austin Hospital and University of Melbourne, Victoria, Australia

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Bu Beng YeapMedical School, University of Western Australia, Perth, Western Australia, Australia
Department of Endocrinology and Diabetes, Fiona Stanley Hospital, Perth, Western Australia, Australia

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David JesudasonFreemasons Centre for Male Health and Wellbeing, University of Adelaide, Adelaide, South Australia, Australia

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Lam P LyANZAC Research Institute, University of Sydney, Sydney, New South Wales, Australia
Department of Andrology, Concord Hospital, Concord, Australia

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Karen BrackenNHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia

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Gary Allen WittertFreemasons Centre for Male Health and Wellbeing, University of Adelaide, Adelaide, South Australia, Australia

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Correspondence should be addressed to D J Handelsman Email djh@anzac.edu.au
Free access

Context

The time course of male reproductive hormone recovery after stopping injectable testosterone undecanoate (TU) treatment is not known.

Objective

The aim of this study was to investigate the rate, extent, and determinants of reproductive hormone recovery over 12 months after stopping TU injections.

Materials and Methods

Men (n = 303) with glucose intolerance but without pathologic hypogonadism who completed a 2-year placebo (P)-controlled randomized clinical trial of TU treatment were recruited for further 12 months while remaining blinded to treatment. Sex steroids (testosterone (T), dihydrotestosterone, oestradiol, oestrone) by liquid chromatography-mass sprectometry, luteinizing hormone (LH), follicle-stimulating hormone (FSH) and sex hormone-binding globulin (SHBG) by immunoassays and sexual function questionnaires (Psychosexual Diary Questionnaire, International Index of Erectile Function, and short form survey (SF-12)) were measured at entry (3 months after the last injection) and 6, 12, 18, 24, 40, and 52 weeks later.

Results

In the nested cohort of TU-treated men, serum T was initially higher but declined at 12 weeks remaining stable thereafter with serum T and SHBG at 11 and 13%, respectively, lower than P-treated men. Similarly, both questionnaires showed initial carry-over higher scores in T-treated men but after 18 weeks showed no difference between T- and P-treated men. Initially, fully suppressed serum LH and FSH recovered slowly towards the participant’s own pre-treatment baseline over 12 months since the last injection.

Conclusions

After stopping 2 years of 1000 mg injectable TU treatment, full reproductive hormone recovery is slow and progressive over 15 months since the last testosterone injection but may take longer than 12 months to be complete. Persistent proportionate reduction in serum SHBG and T reflects lasting exogenous T effects on hepatic SHBG secretion rather than androgen deficiency.

Abstract

Context

The time course of male reproductive hormone recovery after stopping injectable testosterone undecanoate (TU) treatment is not known.

Objective

The aim of this study was to investigate the rate, extent, and determinants of reproductive hormone recovery over 12 months after stopping TU injections.

Materials and Methods

Men (n = 303) with glucose intolerance but without pathologic hypogonadism who completed a 2-year placebo (P)-controlled randomized clinical trial of TU treatment were recruited for further 12 months while remaining blinded to treatment. Sex steroids (testosterone (T), dihydrotestosterone, oestradiol, oestrone) by liquid chromatography-mass sprectometry, luteinizing hormone (LH), follicle-stimulating hormone (FSH) and sex hormone-binding globulin (SHBG) by immunoassays and sexual function questionnaires (Psychosexual Diary Questionnaire, International Index of Erectile Function, and short form survey (SF-12)) were measured at entry (3 months after the last injection) and 6, 12, 18, 24, 40, and 52 weeks later.

Results

In the nested cohort of TU-treated men, serum T was initially higher but declined at 12 weeks remaining stable thereafter with serum T and SHBG at 11 and 13%, respectively, lower than P-treated men. Similarly, both questionnaires showed initial carry-over higher scores in T-treated men but after 18 weeks showed no difference between T- and P-treated men. Initially, fully suppressed serum LH and FSH recovered slowly towards the participant’s own pre-treatment baseline over 12 months since the last injection.

Conclusions

After stopping 2 years of 1000 mg injectable TU treatment, full reproductive hormone recovery is slow and progressive over 15 months since the last testosterone injection but may take longer than 12 months to be complete. Persistent proportionate reduction in serum SHBG and T reflects lasting exogenous T effects on hepatic SHBG secretion rather than androgen deficiency.

Introduction

Testosterone (T) production in men is under tight negative feedback control (1). Exogenous androgens suppress the hypothalamo–pituitary–testicular (HPT) axis, markedly suppressing circulating luteinizing hormone (LH) and follicle-stimulating hormone (FSH) as well as T (for androgens other than T). For example, recovering male androgen abusers display profound suppression of endogenous T, serum LH, and FSH for 9–18 months after the cessation of androgens (2, 3, 4). Men with a normal HPT axis treated with exogenous T even at physiological replacement doses will suppress endogenous T production and may display androgen withdrawal symptoms for some time after drug cessation leading to androgen dependence (5). This understudied issue is relevant to the 100-fold increase in T prescribing over the last three decades (6) for reasons other than pathological hypogonadism (7, 8, 9, 10). These men often cease T treatment after relatively short periods (11) risking iatrogenic androgen withdrawal effects. This may lead to a self-reinforcing cycle of androgen dependence (5). Hence, the natural history of male reproductive hormone recovery after ceasing exogenous T and its determinants is clinically important but not reported.

Few well-designed, placebo (P)-controlled studies of T treatment report detailed follow-up observations on the recovery of male reproductive endocrine function after cessation. After 12 months of injectable testosterone undecanoate (TU), serum T elevation persisted at 56 weeks returning to baseline by 82 weeks (12). Another study of daily transdermal gel reported that after 6 months of treatment, serum T returned to pre-treatment baseline at 6 months after ceasing treatment (13). There was no follow-up reported on the daily transdermal T gel in the T Trials (14), the next largest after Testosterone for Diabetes Mellitus (T4DM) placebo-controlled trial of T treatment. Therefore, this study aimed to investigate the rate, extent, and determinants of recovery of reproductive endocrine function hormones in men following prolonged (2-year) treatment with injectable TU based on a nested randomized, placebo-controlled clinical trial.

Subjects and methods

Participants

The runoff study aimed to investigate the rate and extent of recovery in reproductive hormones (serum T, LH, FSH) and change in psychosexual function after ceasing 2 years of regular TU injections. Participants were recruited from the T4DM Study (15, 16). Briefly, the T4DM study recruited men aged 50–74 years with impaired glucose tolerance (IGT) or newly diagnosed type 2 diabetes mellitus (diabetes) but without pathologic hypogonadism to be randomized to 2 years of treatment with either TU (1000 mg in 4 mL oil) or matching oil vehicle P (supplied by Bayer; clinical trial registration ACTRN12612000287831) (15, 16). Consistent with entry criteria for the T4DM study (16), pathology of the HPT axis, defined as recognized organic pathology of the HPT axis, was excluded. A subgroup volunteered to continue in the T4DM study for up to an extra 2 years. All injections were administered by study personnel at 3-month intervals following a loading dose at 6 weeks after the first dose as per the product marketing approval. The runoff study had ethics approval from each centre with participants providing written informed consent pre-entry.

The runoff study was designed in 2016 after most participants had enrolled in the T4DM study (ethics approval: 3 July 2012, first enrollment: 5 February 2013, and last enrollment: 27 February 2017) aiming to investigate recovery while participants remained masked to their T4DM treatment allocation. All T4DM participants were invited to join the runoff study recognizing that it prolonged their study involvement. Of 1007 T4DM participants, 303 accepted the invitation for further study visits. The major reason for declining was the inconvenience of further 12 months of study visits. Participants in the T4DM and runoff studies received no reimbursement for participation. Of these 303 men, 215 men were included in the hormone analyses if they completed at least 5 of the 7 scheduled visits (91 men with all 7 visits, 60 with 6 visits, and 64 with 5 visits). Sera from those completing 4 or fewer visits did not have runoff study hormones measured.

Study design and procedures

Entry date into the runoff study was defined as the date of the first missed injection (i.e. 3 months after the last T4DM study injection), and outcomes were evaluated at both timepoints (from entry to runoff study to time since the last injection). All runoff study data were collected prior to participants unmasking of T4DM treatment allocation. Participants attended at entry and 6, 12, 18, 24, 40, and 52 weeks later with body weight recorded, an 8 mL blood withdrawn with serum frozen until assay, and 2 sexual function questionnaires completed. The Psychosexual Diary Questionnaire (PDQ) and International Index of Erectile Function (IIEF) were completed online (73%) or on paper at each visit. The modified PDQ (17) analysis comprised eight variables using responses for the time window framed as ‘over the last week’ but omitting Q3 mood questions. The self-rated questions comprised Q1 (overall sexual desire), Q2A (sexual enjoyment without a partner), Q2b (sexual ejoyment with a partner), Q5 (% full erection), Q6 (erection sustained), Q7 (lack of sex drive is a problem for me), and Q8 (overall satisfaction with sex life) were scored using a sliding scale from 0 to 100%. The Q4 (sexual activities) comprised 12 specified sexually oriented activities which were scored as Yes (1) or No (0) with the sum as the response with a range 0–12. The IIEF was scored as described from the 15-item responses into 5 domains erectile function, orgasmic function, sexual desire,intercourse satisfaction, and overall satisfaction (18, 19).

At runoff study entry, participants were also asked (a) ‘Which treatment do you think you were receiving during the T4DM study?’ and (b) ‘What changes made you think which treatment you were receiving during the T4DM study?’ with possible responses (all could be selected) comprising ‘physical (e.g. energy, endurance, and strength)’, ‘sexual (e.g. sexual desire or activity)’, ‘psychological (e.g. mood and motivation)’, and ‘other’ effects.

Hormone analysis

Serum steroids were measured in a single batch by the previously validated liquid chromatography-mass spectrometry (LCMS) method (20) modified to change extraction solvent and incorporate ultrapressure chromatography (21). The limits of quantitation and reproducibility (within-run coefficient of variation (CV)) over three levels of quality control (QC) samples were for 174 pM (50 pg/mL) and 5% for T, 345 pM (100 pg/mL) and 10% for dihydrotestosterone (DHT), 18 pM (5 pg/mL) and 8% for oestradiol (E2), and oestrone 19 pM (5 pg/mL) and 7%. Serum LH, FSH, and SHBG were measured by Roche immunoassays with CVs of <2% for LH and FSH (over three levels of QC) and <3% for SHBG (over two QC) with detection limits of 0.1 IU/L for LH and FSH and 2 nmol/L for SHBG.

Genetic analysis

The two genetic polymorphisms with known influence on testosterone metabolism or action were analysed by PCR. Uridine 5′-diphospho-glucuronosyltransferase 2B17 (UGT2B17) genotyped as described (22, 23). The androgen receptor CAG triplet repeat polymorphism was genotyped by PCR and capillary electrophoresis (3730xl DNA analyser) as described (24) with the forward primer labelled with 6-carboxyfluorescein (FAM) AR 1162: 5’-FAM: CACCTCCCGGCGCCAGTTTGCTGCTGCTGC-3’ and an unlabelled reverse primer AR B112: 5’- CTGCTGCTGCTGCCTGGGGCTAGTCTCTTG-3’. CAG repeat lengths were calibrated against samples with known CAG triplet lengths determined by Sanger sequencing.

Statistical analysis

Data are presented as mean ands.e.m.. Undetectable serum LH and FSH were imputed by the limits of detection (0.1 IU/L) divided by √2 as described (25). Recovery of serum LH and FSH was based on the return to the participant’s own pre-treatment baseline serum LH and FSH. The survival analysis findings were verified by an alternative analysis using the return to the population mean baselines for serum FSH and LH determined by pooling all samples from pre-treatment baseline (n = 955) and P-treated men (n = 661). Recovery by survival analysis was analysed using the survivor, survminer, and ggplot2packages (https://cran.r-project.org/).

Serial data of continuous variables (hormones and SHBG) were analysed by linear mixed model regression with repeated measures employing an autoregressive within-subject covariance matrix, which was optimal according to minimizing Akaike Information Criterion (NCSS 2021). The main effect was treatment (testosterone vs placebo) with within-subject effect of time (since runoff entry or last injection as specified) together the time × treatment interaction. Potential covariables comprised baseline (all from pre-T4DM) age, height, measures of overweight (weight, BMI, fat mass (kg), and abdominal fat mass (%) from dual-energy X-ray absorptiometry (DEXA) body composition analysis), body surface area (BSA, Gehan & George formula (26)), duration of treatment (number of injections), handgrip strength, baseline serum testosterone, haemoglobin (Hb), systolic blood pressure (SBP) or diastolic blood pressure (DBP), glomerular filtration rate (GFR), and UGT2B17 and CAG triplet repeat genotypes. Models were run with interpretable two-way interactions deleting non-significant interactions (P< 0.01) from the final model. Post hoc tests used repeated measures ANOVA with pre-set linear contrasts to define early and later timepoints in the time course.

Results

Men in the runoff study did not differ from men in the main T4DM study in any of 23 baseline anthropometric or demographic variables (all P  > 0.13, Table 1) or in variables that were measured at the end of 2 years T4DM participation prior to entry to runoff study (Table 2). Participants in both groups had a median of nine injections with 7% having fewer than nine (range, 5–8) due to premature discontinuation and 24% more than nine (range, 10–17) injections due to participation in the subgroup which extended study treatment beyond 24 months. At entry to T4DM, men with diabetes (n = 35, 19%) had higher HbA1C (6.1 ± 0.1% vs 5.7 ± 0.03%) but did not differ from men with IGT (n = 180) in other variables (age, height, weight, pulse, systolic and diastolic blood pressure, BMI, BSA, serum T, DHT, E2, E1, SHBG, Hb, and glomerular filtration rate; data not shown). There was no difference between men treated with T or P in androgen receptor CAG triplet repeats (both median 21 repeats) and in the UGT2B17 polymorphism (overall 10% homozygous deletion, 44% heterozygous, and 46% homozygous WT genotypes).

Table 1

Baseline characteristics. Data are presented as n (%) or as mean ± s.e.m.

T4DM not in study In runoff study P
Total, n Values Total, n Values
Randomized patients 704 303
Treated with testosterone 704 349 (49.6%) 303 155 (51.2%) 0.645
Medical baseline variables
 Glucose tolerance
  Normal (2 h glucose: <7.8) 704 7 (1.0%) 303 3 (1.0%) 0.860
  Prediabetic (2 h glucose: <11.1) 704 554 (78.7%) 303 243 (80.2%)
  Diabetic (2 h glucose: ≥11.1) 704 143 (20.3%) 303 57 (18.8%)
 Serum testosterone, nmol/L
  Baseline testosterone (LCMS, nmol/L) 668 13.7 ± 4.4 291 13.7 ± 4.4 0.909
 Grouped baseline testosterone (LCMS, nmol/L)
  <8 668 47 (7.0%) 291 25 (8.6%) 0.646
  8 to <11 668 148 (22.2%) 291 60 (20.6%)
  ≥11 668 473 (70.8%) 291 206 (70.8%)
 Screening testosterone (immunoassay, nmol/L) 704 9.9 ± 2.5 303 10.0 ± 2.6 0.723
 Serum SHBG (nmol/L) 38.0 ± 14.1 36.6 ± 12.7 0.131
Anthropometric variables
 Waist circumference (cm) 704 118.4 ± 12.6 303 117.4 ± 11.0 0.258
 Weight (kg) 704 108.0 ± 17.6 303 107.6 ± 16.4 0.748
 Height (cm) 704 176.3 ± 6.5 303 176.0 ± 6.1 0.628
 BMI (kg/m2) 704 34.7 ± 5.2 303 34.7 ± 4.9 0.903
  Normal (18.5–25) 704 8 (1.1%) 303 1 (0.3%) 0.219
  Overweight (25–30) 704 130 (18.5%) 303 48 (15.8%)
  Obese (30–35) 704 250 (35.5%) 303 128 (42.2%)
  Severely obese (35–40) 704 207 (29.4%) 303 86 (28.4%)
  Very severely obese (>40) 704 109 (15.5%) 303 40 (13.2%)
 BSA (m2) 704 2.3 ± 0.2 303 2.3 ± 0.2 0.741
Family medical history
 Type 2 diabetes 704 276 (39.2%) 303 123 (40.6%) 0.679
 Prostate cancer 703 74 (10.5%) 303 42 (13.9%) 0.129
Demographic baseline variables
 Age (years) 704 59.5 ± 6.3 303 60.1 ± 6.4 0.151
 Aboriginal/Torres Strait Islander descent 703 6 (0.9%) 303 2 (0.7%) 0.751
 Ethnicity
  Australian/New Zealand 703 453 (64.4%) 303 205 (67.7%) 0.400
  European 703 198 (28.2%) 303 82 (27.1%)
  Other 703 52 (7.4%) 303 16 (5.3%)
 Antidepressant (SSRI) usage 704 46 (6.5%) 303 18 (5.9%) 0.723
 Current smoker 703 41 (5.8%) 303 12 (4.0%) 0.223
 Relationship status
  Married/de facto 703 594 (84.5%) 303 263 (86.8%) 0.687
  Separated/divorced 703 65 (9.2%) 303 21 (6.9%)
  Widowed 703 10 (1.4%) 303 4 (1.3%)
  Single 703 34 (4.8%) 303 15 (5.0%)
 Occupational status
  Employed 704 359 (51.0%) 303 156 (51.5%) 0.987
  Self-employed 704 131 (18.6%) 303 58 (19.1%)
  Working without pay in the family business 704 4 (0.6%) 303 1 (0.3%)
  Retired or on pension 704 180 (25.6%) 303 75 (24.8%)
  Unemployed 704 30 (4.3%) 303 13 (4.3%)
 Current shift worker 703 68 (9.7%) 303 23 (7.6%) 0.291
 Age when left school (years) 698 16.6 ± 1.4 302 16.7 ± 1.2 0.126
Table 2

Matching of participants after 2 years in T4DM study prior to entry into runoff study.

Placebo treated Testosterone treated
Enter runoff study Not in runoff study Enter runoff study Not in runoff study
n Values n Values n Values n Values
Randomized patients 148 355 155 349
2 h glucose on OGTT (mmol/L) 145 8.7 (3.4) 268 8.8 (3.1) 152 7.6 (2.7) 291 8.2 (2.7)
Testosterone (nmol/L) 142 14.7 (5.7) 237 14.4 (5.2) 148 17.8 (6.3) 271 16.0 (6.4)
Waist circumference (cm) 148 111.7 (12.4) 262 113.0 (11.5) 154 109.2 (12.2) 287 111.7 (13.0)
Weight (kg) 148 103.7 (16.8) 262 103.5 (16.6) 154 101.4 (16.6) 286 103.4 (17.8)
BMI (kg/m2) 148 33.2 (5.1) 262 33.2 (5.0) 154 32.9 (5.2) 286 33.3 (5.3)

Serum hormones

Serum T was significantly higher in T-treated men at entry, but at all timepoints from 12 weeks onwards, serum T was consistently 11% lower in T-treated than in P-treated men (Fig. 1). The significantly lower mean serum T (pooling weeks, 18–52) in T- vs P-treated men (78 ± 3% vs 89 ± 4%, P = 0.026) was no longer significantly different after adjustment for mean serum SHBG (treatment P = 0.79 and treatment × serum SHBG interaction P = 0.34).

Figure 1
Figure 1

Time course of serum testosterone (upper left), SHBG (upper right), LH (lower left), and FSH (lower right) plotted as mean and s.e.m. on the y-axis over time in weeks on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

Citation: European Journal of Endocrinology 186, 3; 10.1530/EJE-21-0608

The overall time course of serum T demonstrated a significant downward trend for both T and P groups (P  < 0.0001) but steeper for T-treated men (time × treatment interaction P  < 0.0001). From 18 weeks onward, however, serum T was stable without significant change over time. The only significant univariate covariable predictor on serum T time course was positive effects of (i) baseline T (P ≤ 0.0001), an effect nullified by including BMI as a covariate and (ii) diabetes for which a higher serum T (P = 0.008) was nullified by including weight change as a covariate. No other potential covariates (baseline weight, BSA, DEXA fat mass, and abdominal fat mass), number of injections, SBP, DBP, GFR, or the UGT2B17 or CAG triplet repeat polymorphism had significant impact on the serum T time course.

Averaged over all timepoints in runoff study, mean serum SHBG (Fig. 1) displayed a stable pattern of lower concentrations in T-treated men (P = 0.011) with no significant effect of time or time × treatment interaction. SHBG was significantly lower in T vs P-treated men expressed relative to participant’s own pre-T4DM baseline (93 ± 3% vs 106 ± 3%, P = 0.005). There were significant positive covariates effects on serum SHBG concentration of weight loss (P < 0.0001), age (P = 0.002), baseline T (P = 0.003), and Hb (P = 0.027). Other significant covariates with positive effects on the time course of serum SHBG were Hb (P = 0.016), GFR (P = 0.007), and SBP (P  < 0.001) but not DBP or diabetes (vs IGT). Serum SHBG did not differ between men randomized to T or P (respectively, 37.8 ± 13.8 vs 37.4 ± 13.6, P = 0.67) or those who did or did not participate in the runoff study (respectively, 36.6 ± 12.7 vs 38.0 ± 14.1, P = 0.13; Table 1).

Mean serum LH and FSH concentrations recovered gradually to reach the group mean pre-treatment baseline levels at 24 weeks after runoff entry (i.e. 36 weeks after the last injection) (Fig. 1). Median time to recovery to the participant’s own pre-treatment baseline was 33.9 weeks (95% confidence limits 31.0–36.0 weeks) for serum FSH and 33.9 weeks (31.1–36.0 weeks) for serum LH and both took 63 weeks to reach 90% of their own pre-treatment baseline (Fig. 2). Expressing the recovery as time to reach the mean of grouped baseline (n = 1616, serum FSH: 7.2 ± 0.3 IU/L, and LH: 5.6 ± 0.2), the timings were similar. Both serum LH and FSH displayed highly significant effects of time, treatment, and time × treatment interactions (all P  < 0.0001) on the time course of their recoveries with additional effects of serum SHBG alone (P = 0.026 and 0.030, respectively) and in its interaction with age (both P = 0.005). There were no other significant covariables (including diabetes vs IGT) with any influence on the time course of recovering serum LH or FSH concentrations.

Figure 2
Figure 2

Kaplan–Meier survival analysis of the time to recovery of serum LH (left) and FSH (right) to the participants’ own pre-treatment baseline. Time in this survival analysis is from the time of the last injection – which is 12 weeks earlier than entry to the runoff study. Events are marked with vertical bars, and the shading around the survival line represents 95% CI at that point on the curve.

Citation: European Journal of Endocrinology 186, 3; 10.1530/EJE-21-0608

For serum DHT, there was a downward profile over time in both treatment groups (time, P = 0.015), being steeper in the T-treated men (time × treatment interaction, P = 0.021) (Fig. 3). The only other significant covariate effect was a positive effect of serum SHBG (P  < 0.0001). For both serum E2 and E1, there was a downward profile with time in both treatment groups (time, P = 0.001; time × treatment interaction = 0.40) but no significant effects of T compared with P treatment or any significant covariates (Fig. 3). None of serum DHT, E2, or E1 were significantly influenced by diabetes (vs IGT).

Figure 3
Figure 3

Time course of net weight loss from entry to T4DM study (upper left), serum dihydrotestosterone (upper right), oestradiol (lower left), and oestrone (lower right) plotted as mean and s.e.m. on the y-axis over time in weeks on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction. Net weight loss is the difference at the time of observation in this study from baseline weight prior to entry to the T4DM study (i.e. remaining net weight loss carry-over from the T4DM study).

Citation: European Journal of Endocrinology 186, 3; 10.1530/EJE-21-0608

Psychosexual quality of life

For the IIEF questionnaire, there were significant effects of time and treatment (main effect of treatment or treatment × time interaction) for all measures (erectile function, orgasmic function, sexual desire, intercourse satisfaction, and overall satisfaction). At entry and for weeks 6 and 12, the IIEF questionnaire showed higher scores for sexual function for T-treated compared with P-treated men for all measures due to carry-over of T treatment (Fig. 4). All measures of sexual function from week 18 onwards displayed no significant difference between T and P treatment effects apart from overall satisfaction at week 18.

Figure 4
Figure 4

Plot of the five principal domains of the International Index of Erectile Function (IIEF-15). Erectile function (upper left), orgasmic function (upper middle), sexual desire (upper right), intercourse satisfaction (lower left), and overall satisfaction (lower middle) are plotted as mean ands.e.m. with the outcome on the y-axis and time on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

Citation: European Journal of Endocrinology 186, 3; 10.1530/EJE-21-0608

For the PDQ questionnaire, there were significant effects of time for seven of eight measures (overall sexual desire, sexual enjoyment with partner, daily sexual activities, % full erection, lack of sexual desire a problem, erection sustained, and overall satisfaction with sex life) with only sexual enjoyment without partner showing divergent effects between treatment groups (Figs 5 and 6). There were also effects of treatment or treatment × time interaction for six out of eight measures other than erection sustained and sexual enjoyment with partner. At entry, the PDQ questionnaire showed higher scores for sexual function in T-treated compared with P-treated men for four of eight measures due to carry-over of T treatment (Figs 5 and 6). For the PDQ, there were no differences between T and P treated men from week 12 onwards (week 18 for overall satisfaction).

Figure 5
Figure 5

Plot of the Psychosexual Diary Questionnaire (PDQ). Overall sexual desire (upper left), sexual enjoyment with partner (upper right), sexual enjoyment without partner (lower left), and daily sexual activities (lower right) are plotted as mean and s.e.m. with the outcome on the y-axis and time on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

Citation: European Journal of Endocrinology 186, 3; 10.1530/EJE-21-0608

Figure 6
Figure 6

Plot of the Psychosexual Diary Questionnaire (PDQ). Fullness of erection (upper left), lack of sex drive a problem (upper right), erection sustained (lower left), and overall satisfaction with sex life (lower right) are plotted as mean and s.e.m. with the outcome on the y-axis and time on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

Citation: European Journal of Endocrinology 186, 3; 10.1530/EJE-21-0608

Perceptions of treatment

Overall, 131/303 (43%) of participants guessed correctly whether they were receiving T or P, 64/303 (21%) guessed incorrectly, and 108/303 (36%) were unable to pick which treatment they were on (Table 3). Among those receiving T treatment, 37% guessed correctly, whereas 50% of those on P guessed correctly. The prevalence of reported perceived symptomatic effects that participants considered as helping guess treatment (whether correct or not) were physical (24%), sexual (23%), psychological (13%), and other (73%). Of those, sexual effects (ratio: 2.7 (95% CI: 1.5–5.0)) and ‘other’ effects (odds ratio: 0.6 (0.35–0.93)) were significantly more and less, respectively likely than by chance to distinguish between T and P treatments, whereas physical and psychological effects were not.

Table 3

Participants perceptions about their treatment.

Treatment Participant perceptions
Testosterone Placebo Unsure Total
Testosterone 57 (37%) 45 (29%) 53 (34%) 155
Placebo 19 (13%) 74 (50%) 55 (37%) 148
Total 76 119 108 303

Discussion

This randomized, placebo-controlled study, a nested sub-cohort of the T4DM study (16), provides the first placebo-controlled study on the natural history of recovery of male reproductive endocrine function following cessation of prolonged injectable testosterone treatment. The T4DM study population comprised men aged 50–74 years with metabolic dysfunction (IGT or recently diagnosed type 2 diabetes) but without pathologic androgen deficiency randomized to injectable TU or placebo treatment for 2 years. During the T4DM study, the runoff study recruited T4DM participants to an originally unplanned extension of their unpaid involvement for a further year of recovery while remaining masked to their treatment allocation. The participants in the runoff study did not differ from the T4DM study population in any of 23 demographic and anthropometric variables at baseline or after 2 years of participating in T4DM. The present findings indicate a slow and progressive recovery of testicular endocrine function over the 15 months since the last testosterone injection towards the participants’ own pre-treatment baseline but may not be complete by 12 months with the tempo of recovery determined mainly by time since the last testosterone dose. Whether there remain any detrimental effects on androgen-sensitive non-reproductive functions after full recovery of testicular endocrine function require further follow-up.

The time course of serum T recovery had distinctive features. First, as expected, the serum T concentration on entry to the runoff study was higher among the TU-treated compared with P-treated men reflecting carry-over effects from the T4DM study treatment. That timing of carry-over from testosterone injections is comparable with the approved therapeutic inter-injection interval for TU injection treatment reflecting ongoing release of TU from its injection depot. A second feature was the unexpected downward trend in P-treated men, albeit less steep than in T-treated men. This decline in serum T during the runoff study in the P-treated men may reflect recurring deleterious effects of weight (re)gain on T secretion after the T4DM study ended. A third feature was the consistently lower serum T concentrations from 12 weeks onward in T-treated compared with P-treated men. The reduction of mean serum T concentration from 12 weeks onward was proportionate to the stable reduction in serum SHBG throughout the study. These findings reflect the importance of SHBG as the principal circulating protein carrier of the hydrophobic T molecule (27). Although serum SHBG is sensitive to large changes in body weight (28), the small regain of body weight during the runoff study (reflecting cessation of T4DM lifestyle interventions) did not differ between treatment groups and could not explain the reduced serum SHBG during the runoff study. The persistent long-term effects of T treatment on serum SHBG resemble that seen in men recovering from androgen abuse (3, 4) who have similar persistent reduction in serum SHBG (29). These lasting effect of androgens on hepatic SHBG secretion resembles those seen with the physiological surge in T secretion of male puberty (30), an effect replicated by TU treatment for delayed puberty (31, 32, 33). Importantly, the proportionate reduction in circulating SHBG and T does not imply significant T deficiency.

The two independent sexual function questionnaires displayed carry-over in T effects on sexual function early in this study consistent with the higher serum T in T-treated men. Beyond 18 weeks, however, both QoL questionnaires showed no significant differences between T- and P-treated men thereby excluding symptomatic T deficiency of which sexual symptoms are characteristic (29, 34). Furthermore, the limited ability of the Runoff participants to guess correctly the treatment they received was partly dependent on perceived effects on sexual function but not on physical or psychological effects; findings resembling those of the European Male Ageing Study’s findings that circulating T had weak but significant inverse relationship with sexual symptoms but not with a wide range of physical or psychological symptoms (34). Men’s symptoms of organic androgen deficiency occur at highly reproducible blood T levels within an individual although the specific, leading symptoms vary widely between individuals (29). By contrast, grouping androgen deficient men by symptoms reduces the power of blood T level to discriminate such symptoms (35). Hence, in concert, in the second half of the study, the proportionate reductions in serum SHBG and T together with the QoL evidence make it likely the men’s endogenous T production had recovered without significant androgen deficiency.

The slow and parallel recovery of serum LH and FSH is a salient finding. While recovery from suppression by exogenous T is expected, the delayed recovery signifies a prolonged depot effect of injectable TU and lingering effects of hypothalamic suppression by exogenous T treatment. Similar findings of slow, progressive, and parallel recovery of serum LH and FSH are observed in recovery of HPT axis function in former androgen abusers (4). These findings suggest that in this context of a recovering HPT axis, serum LH and FSH operate as androgen sensors comparable to the way in which serum TSH operates as a sensor of thyroid function status in otherwise healthy individuals (36). Furthermore, due to the study population, it cannot be excluded that impaired hypothalamic function in men with metabolic disturbances may contribute to the slow recovery. Although the survival analyses of serum LH and FSH do not achieve a plateau at 12 months since last testosterone injection, among T-treated men, the mean serum LH and FSH show no sign of further increases from 24 weeks onward making it unlikely that there is a further progressive increase in serum LH and FSH after 12 months. There are no controlled studies to compare with our findings. A previous uncontrolled series of four cases with congenital hypogonadotropic hypogonadism treated with injectable TU for at least 3 years reported an average of 30 weeks for serum T to decline to hypogonadal levels after ceasing injections (37).

In the present hormonal analyses, the dominant effect on the time course of HPT axis recovery was the duration since the cessation of T exposure. This finding is constrained by the use of a standard TU dose so we cannot exclude that supraphysiological androgen doses may exert more prolonged suppression; however, this does not appear to occur with former androgen abusers who characteristically use massive androgen doses in short, repetitive cycles (3, 4). Of note, the time course of recovery from androgen abuse dosing was also primarily influenced by the time since cessation rather than androgen dose or duration (4).

This study did not examine recovery of sperm production, but the time course of HPT axis recovery is similar to the recovery of sperm output in hormonal male contraceptive investigations using both T alone and T plus progestin regimens (38, 39). In those studies of healthy young men, rigorously screened for normal sperm output prior to entry, recovery to fertile sperm output was achieved in 4–5 months (39), whereas recovery of sperm output to the participants’ own baseline was only 83% at 12 months and taking 24 months to reach 100% after ceasing testosterone treatment (38). While the recovery of endogenous T was not investigated in those prototype male hormonal contraceptive studies, the low intratesticular T threshold required to support spermatogenesis in mice (40, 41) and men (42, 43) suggests the time to full recovery of endogenous T production may be longer than for restoration of spermatogenesis although contrary findings are reported for men recovering from androgen abuse (4).

Study strengths include the randomized, placebo-controlled design of the underlying T4DM study which provides an unprecedented objective time course of recovery over 12 months following cessation of 2 years of injectable TU treatment. The treatment injections were administered by study personnel, thus ensuring high adherence with a known physiological T dose and frequency. The duration of treatment was not a significant covariate for any of the hormonal recovery endpoints. Participants were not reimbursed in this or in the T4DM study so financial motives were unlikely to influence their participation or responses. During recovery, sex steroids were profiled by LCMS and two well-validated psychosexual function questionnaires were employed that displayed requisite sensitivity to carry-over T effects from the main T4DM study and showed similar sexual function to P-treated men beyond weeks 12–18.

Study limitations include that the steroid LCMS measurements used cannot distinguish exogenous from endogenous circulating T, which might provide more direct insight into the tempo of recovery of endogenous T secretion in the presence of exogenous T. In theory, carbon isotope ratio mass spectrometry, used with urine in antidoping laboratories (44), might provide such insight if improved sensitivity allows application to small serum samples. This limitation is overcome by the indirect but sensitive measures of recovery in serum LH and FSH providing a direct read-out of hypothalamic suppression of the HPT axis. The same limitation applies to the recovery from endogenous T suppression following cessation of other T products, notably transdermal T delivery, which feature faster onset and offset of action so that analogous recovery studies would be of interest. Another limitation was that this follow-on study was only conceived after men had entered the 2-year T4DM study so that only 30% of unpaid volunteers agreed to another year of follow-up creating the potential for participation bias. Yet, according to all anthropometric and demographic measures available, this nested cohort was representative of the full T4DM cohort, largest and equally longest randomized, placebo-controlled study of T treatment. The present study’s findings in Australian men 50–74 years of age with abdominal obesity, dysglycemia but without pathologic hypogonadism, may not be directly extrapolated to men of different age, medical status, or countries. This profile closely resembles the participants in the Testosterone Trials which also recruited a majority of obese, hypertensive ex-smokers with one-third having diabetes (14). T prescribing for such men has increased dramatically over recent decades (6, 7), making the findings clinically relevant and important. When T treatment is ceased, they risk androgen withdrawal symptoms, so the time course of recovery is of importance in their ongoing medical care. Finally, this study only followed men for 1 year and even long-term beneficial or detrimental effects could not be determined and would require longer to be determined or excluded.

We conclude that after stopping 2 years of standard therapeutic doses of injectable TU treatment in middle-aged men with metabolic disturbance but not pathologic hypogonadism, recovery of testicular endocrine function is slow and progressive over 15 months since the last testosterone injection but may take longer than 12 months to be complete. Over the first 12 months since the last dose, there is a persistent, mild, proportionate reduction in serum SHBG and T without evidence of testosterone deficiency. The study also supports the hypothesis that the dominant factor in the tempo of recovery from androgen-induced suppression of the HPT axis is the time since cessation of exogenous androgen exposure.

Declaration of interest

The views expressed in this paper are not those of any organization to which authors are affiliated. D J H has served as an expert witness in antidoping and professional standards tribunals and for testosterone litigation. B G A S has received speaker fees (Besins). M G has received research funding (Bayer, Otsuka) and speaker fees (Besins, Novartis). M G is also on the Editorial Board of EJE. He was not involved in the peer review process of this paper. B B Y has received speaker or travel payments (Bayer, Lilly, Besins), research funding (Bayer, Lilly, Lawley), and consultancies (Lilly, Besins, Ferring, Lawley). G A W has received research funding for testosterone pharmacology studies (Lawley, Bayer, Lilly), speakers (Besins, Bayer), and consultancy (Elsevier) payments and served as an expert witness in professional standards tribunals. W J I has nothing to disclose.

Funding

There was no funding for this study. The T4DM study was supported by grants from the National Health and Medical Research Council (NHMRC) Project Grant #1030123, Bayer, Lilly, and the University of Adelaide with in-kind support from Weight Watchers and Sonic Healthcare.

Acknowledgements

The authors thank the men who generously participated in this study for the benefit of future medical knowledge. The authors gratefully acknowledge the professionalism of the clinical research nurses (Glenda Fraser (Concord Hospital), Jenny Healy (Austin Hospital), Helen Daniels and Chyn Soh (Fremantle Hospital and Fiona Stanley Hospital), Jody Sawyer (Princess Alexandra Hospital), Rosemary Cox and Fiona Cossey (The Queen Elizabeth Hospital), and Lee Mahoney (the Keogh Institute for Medical Research), the NHMRC Clinical Trials Centre (Kristy Robledo, Simone Marschner, Andrzej Januszewski, Caitlin Van Holst Pellekaan, Sandra Healey) and the University of Adelaide (Margaret McGee, Dr Susan Shanley).

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    Figure 1

    Time course of serum testosterone (upper left), SHBG (upper right), LH (lower left), and FSH (lower right) plotted as mean and s.e.m. on the y-axis over time in weeks on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

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    Figure 2

    Kaplan–Meier survival analysis of the time to recovery of serum LH (left) and FSH (right) to the participants’ own pre-treatment baseline. Time in this survival analysis is from the time of the last injection – which is 12 weeks earlier than entry to the runoff study. Events are marked with vertical bars, and the shading around the survival line represents 95% CI at that point on the curve.

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    Figure 3

    Time course of net weight loss from entry to T4DM study (upper left), serum dihydrotestosterone (upper right), oestradiol (lower left), and oestrone (lower right) plotted as mean and s.e.m. on the y-axis over time in weeks on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction. Net weight loss is the difference at the time of observation in this study from baseline weight prior to entry to the T4DM study (i.e. remaining net weight loss carry-over from the T4DM study).

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    Figure 4

    Plot of the five principal domains of the International Index of Erectile Function (IIEF-15). Erectile function (upper left), orgasmic function (upper middle), sexual desire (upper right), intercourse satisfaction (lower left), and overall satisfaction (lower middle) are plotted as mean ands.e.m. with the outcome on the y-axis and time on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

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    Figure 5

    Plot of the Psychosexual Diary Questionnaire (PDQ). Overall sexual desire (upper left), sexual enjoyment with partner (upper right), sexual enjoyment without partner (lower left), and daily sexual activities (lower right) are plotted as mean and s.e.m. with the outcome on the y-axis and time on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

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    Figure 6

    Plot of the Psychosexual Diary Questionnaire (PDQ). Fullness of erection (upper left), lack of sex drive a problem (upper right), erection sustained (lower left), and overall satisfaction with sex life (lower right) are plotted as mean and s.e.m. with the outcome on the y-axis and time on the x-axis. Time in this figure is the time in weeks since entry to the runoff study – this entry occurs 12 weeks after the last T4DM study injection. Inset is the results of the analysis of time, treatment, and their interaction.

  • 1

    Handelsman DJ Androgen physiology, pharmacology, use and misuse. In Endotext, 7th ed., ch. 138, pp. 23682370. Eds Feinglod KR, Anawalt B, A Boyce, G Chrousos, WW de Herder, K Dungan, A Grossman, JM Hershman, HJ Hofland, G Kaltsas, et al . Dartmouth, MA, USA: 2020.

    • Search Google Scholar
    • Export Citation
  • 2

    Christou MA, Christou PA, Markozannes G, Tsatsoulis A, Mastorakos G, Tigas S. Effects of anabolic androgenic steroids on the reproductive system of athletes and recreational users: a systematic review and meta-analysis. Sports Medicine 2017 47 18691883. (https://doi.org/10.1007/s40279-017-0709-z)

    • Search Google Scholar
    • Export Citation
  • 3

    Rasmussen JJ, Selmer C, Ostergren PB, Pedersen KB, Schou M, Gustafsson F, Faber J, Juul A, Kistorp C. Former abusers of anabolic androgenic steroids exhibit decreased testosterone levels and hypogonadal symptoms years after cessation: a case-control study. PLoS ONE 2016 11 e0161208. (https://doi.org/10.1371/journal.pone.0161208)

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  • 5

    Handelsman DJ Pharmacoepidemiology of testosterone: impact of reimbursement policy on curbing off-label prescribing. Pharmacoepidemiology and Drug Safety 2020 29 10301036. (https://doi.org/10.1002/pds.5080)

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    Handelsman DJ Global trends in testosterone prescribing, 2000–2011: expanding the spectrum of prescription drug misuse. Medical Journal of Australia 2013 199 548551. (https://doi.org/10.5694/mja13.10111)

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    Handelsman DJ Pharmacoepidemiology of testosterone: curbing off-label prescribing. Pharmacoepidemiology and Drug Safety 2017 26 12481255. (https://doi.org/10.1002/pds.4284)

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    Jasuja GK, Bhasin S, Rose AJ, Reisman JI, Hanlon JT, Miller DR, Morreale AP, Pogach LM, Cunningham FE & Park A et al.Provider and site-level determinants of testosterone prescribing in the veterans healthcare system. Journal of Clinical Endocrinology and Metabolism 2017 102 32263233. (https://doi.org/10.1210/jc.2017-00468)

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    Jasuja GK, Bhasin S, Reisman JI, Hanlon JT, Miller DR, Morreale AP, Pogach LM, Cunningham FE, Park A & Berlowitz DR et al.Who gets testosterone? Patient characteristics associated with testosterone prescribing in the veteran affairs system: a cross-sectional study. Journal of General Internal Medicine 2017 32 304311. (https://doi.org/10.1007/s11606-016-3940-7)

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    O'Connell MD, Roberts SA, Srinivas-Shankar U, Tajar A, Connolly MJ, Adams JE, Oldham JA, Wu FC. Do the effects of testosterone on muscle strength, physical function, body composition, and quality of life persist six months after treatment in intermediate-frail and frail elderly men? Journal of Clinical Endocrinology and Metabolism 2011 96 454458. (https://doi.org/10.1210/jc.2010-1167)

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    Snyder PJ, Bhasin S, Cunningham GR, Matsumoto AM, Stephens-Shields AJ, Cauley JA, Gill TM, Barrett-Connor E, Swerdloff RS & Wang C et al.Effects of testosterone treatment in older men. New England Journal of Medicine 2016 374 611624. (https://doi.org/10.1056/NEJMoa1506119)

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  • 15

    Wittert G, Atlantis E, Allan C, Bracken K, Conway A, Daniel M, Gebski V, Grossmann M, Hague W & Handelsman DJ et al.Testosterone therapy to prevent type 2 diabetes mellitus in at-risk men (T4DM): design and implementation of a double-blind randomized controlled trial. Diabetes, Obesity and Metabolism 2019 21 772780. (https://doi.org/10.1111/dom.13601)

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  • 16

    Wittert G, Bracken K, Robledo KP, Grossmann M, Yeap BB, Handelsman DJ, Stuckey B, Conway A, Inder W & McLachlan R et al.Testosterone treatment to prevent or revert type 2 diabetes in men enrolled in a lifestyle programme (T4DM): a randomised, double-blind, placebo-controlled, 2-year, phase 3b trial. Lancet: Diabetes and Endocrinology 2021 9 3245. (https://doi.org/10.1016/S2213-8587(2030367-3)

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    Wang C, Stephens-Shields AJ, DeRogatis LR, Cunningham GR, Swerdloff RS, Preston P, Cella D, Snyder PJ, Gill TM & Bhasin S et al.Validity and clinically meaningful changes in the psychosexual daily questionnaire and Derogatis interview for sexual function assessment: results From the testosterone trials. Journal of Sexual Medicine 2018 15 9971009. (https://doi.org/10.1016/j.jsxm.2018.05.008)

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    van Kollenburg RAA, de Bruin DM, Wijkstra H. Validation of the electronic version of the international index of erectile function (IIEF-5 and IIEF-15): a crossover study. Journal of Medical Internet Research 2019 21 e13490. (https://doi.org/10.2196/13490)

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  • 20

    Harwood DT, Handelsman DJ. Development and validation of a sensitive liquid chromatography-tandem mass spectrometry assay to simultaneously measure androgens and estrogens in serum without derivatization. Clinica Chimica Acta: International Journal of Clinical Chemistry 2009 409 7884. (https://doi.org/10.1016/j.cca.2009.09.003)

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  • 21

    Handelsman DJ, Desai R, Seibel MJ, Le Couteur DG, Cumming RG. Circulating sex steroid measurements of men by mass spectrometry are highly reproducible after prolonged frozen storage. Journal of Steroid Biochemistry and Molecular Biology 2020 197 105528. (https://doi.org/10.1016/j.jsbmb.2019.105528)

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    Savkovic S, Lim S, Jayadev V, Conway A, Turner L, Curtis D, Goebel C, Handelsman DJ. Urine and serum sex steroid profile in testosterone-treated transgender and hypogonadal and healthy control men. Journal of Clinical Endocrinology and Metabolism 2018 103 22772283. (https://doi.org/10.1210/jc.2018-00054)

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    Yu B, Handelsman DJ. Pharmacogenetic polymorphisms of the AR and metabolism and susceptibility to hormone-induced azoospermia. Journal of Clinical Endocrinology and Metabolism 2001 86 44064411. (https://doi.org/10.1210/jcem.86.9.7793)

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  • 25

    Handelsman DJ, Ly LP. An accurate substitution method to minimize left censoring bias in serum steroid measurements. Endocrinology 2019 160 23952400. (https://doi.org/10.1210/en.2019-00340)

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    Grossmann M Hypogonadism and male obesity: focus on unresolved questions. Clinical Endocrinology 2018 89 1121. (https://doi.org/10.1111/cen.13723)

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    Kelleher S, Conway AJ, Handelsman DJ. Blood testosterone threshold for androgen deficiency symptoms. Journal of Clinical Endocrinology and Metabolism 2004 89 38133817. (https://doi.org/10.1210/jc.2004-0143)

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  • 30

    Handelsman DJ, Sikaris K, Ly LP. Estimating age-specific trends in circulating testosterone and sex hormone-binding globulin in males and females across the lifespan. Annals of Clinical Biochemistry 2016 53 377384. (https://doi.org/10.1177/0004563215610589)

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    Walsh JP Managing thyroid disease in general practice. Medical Journal of Australia 2016 205 179184. (https://doi.org/10.5694/mja16.00545)

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    Gan EH, Bouloux PM, Quinton R. Unexpectedly prolonged washout period of exogenous testosterone after discontinuation of intramuscular testosterone undecanoate depot injection (Nebido(®) or Reandron(®)) in men with congenital hypogonadotrophic hypogonadism. Clinical Endocrinology 2016 84 947950. (https://doi.org/10.1111/cen.13018)

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    Ly LP, Liu PY, Handelsman DJ. Rates of suppression and recovery of human sperm output in testosterone-based hormonal contraceptive regimens. Human Reproduction 2005 20 17331740. (https://doi.org/10.1093/humrep/deh834)

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    Liu PY, Swerdloff RS, Christenson PD, Handelsman DJ, Wang C & Hormonal Male Contraception Summit Group. Rate, extent, and modifiers of spermatogenic recovery after hormonal male contraception: an integrated analysis. Lancet 2006 367 14121420. (https://doi.org/10.1016/S0140-6736(0668614-5)

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  • 40

    Handelsman DJ, Spaliviero JA, Simpson JM, Allan CM, Singh J. Spermatogenesis without gonadotropins: maintenance has a lower testosterone threshold than initiation. Endocrinology 1999 140 39383946. (https://doi.org/10.1210/endo.140.9.6958)

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    Coviello AD, Bremner WJ, Matsumoto AM, Herbst KL, Amory JK, Anawalt BD, Yan X, Brown TR, Wright WW & Zirkin BR et al.Intratesticular testosterone concentrations comparable with serum levels are not sufficient to maintain normal sperm production in men receiving a hormonal contraceptive regimen. Journal of Andrology 2004 25 931938. (https://doi.org/10.1002/j.1939-4640.2004.tb03164.x)

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    Page ST, Kalhorn TF, Bremner WJ, Anawalt BD, Matsumoto AM, Amory JK. Intratesticular androgens and spermatogenesis during severe gonadotropin suppression induced by male hormonal contraceptive treatment. Journal of Andrology 2007 28 734741. (https://doi.org/10.2164/jandrol.107.002790)

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    Ayotte C Detecting the administration of endogenous anabolic androgenic steroids. Handbook of Experimental Pharmacology 2010 195 7798. (https://doi.org/10.1007/978-3-540-79088-4_4)

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