ABSTRACT
Background
Preclinical models suggest alternating activation and inhibition of mechanistic target of rapamycin complex 1 (mTORC1) could enhance adaptation to exercise (‘cycling hypothesis’). Whether this concept translates to older adults is unknown. This exploratory trial assessed whether once‐weekly sirolimus (rapamycin) 6 mg enhances or inhibits functional gains from a home‐based exercise programme.
Methods
In this randomised, double‐blind, placebo‐controlled trial, 40 sedentary adults aged 65–85 years (mean 72.2 years; 47.5% female) were assigned (1:1) to sirolimus (rapamycin) 6 mg or matched placebo once weekly for 13 weeks. Both groups performed a standardised home‐based resistance (chair‐stands) and endurance (exercycle) programme three times/week. The primary outcome was the change in 30‐s chair‐stand repetitions at 13 weeks (intention‐to‐treat; ANCOVA adjusted for baseline performance, age stratum and sex). Complete‐case (CC) and per‐protocol (PP) analyses were prespecified sensitivity analyses. Secondary outcomes included grip strength, 6‐min walk distance, SF‐36 physical and mental component scores, C‐reactive protein and several epigenetic age measures. Safety was assessed through adverse‐event monitoring and laboratory tests.
Results
Both groups improved chair‐stand performance. The primary intention‐to‐treat analysis showed an adjusted mean difference (sirolimus–placebo) of −2.13 repetitions (95% CI −4.61 to 0.34; p = 0.089). Sensitivity analyses favoured placebo and reached statistical significance: complete‐case analysis (16 sirolimus, 19 placebo) showed a difference of −2.46 repetitions (95% CI −4.87 to −0.06; p = 0.045) and per‐protocol analysis (15 sirolimus, 16 placebo) showed −3.44 repetitions (95% CI −5.86 to −0.99; p = 0.007). Secondary functional outcomes also favoured placebo but were not statistically significant: the adjusted mean difference for 6MWD was −4.87 m (95% CI −28.97 to 19.71; p = 0.706) and for grip strength was −1.13 kg (95% CI −3.52 to 1.18; p = 0.344). SF‐36 scores showed small, non‐significant differences favouring placebo. Quality‐of‐life scores showed small, non‐significant differences favouring placebo. Seventeen participants (85%) in each arm reported ≥ 1 adverse event, but the total burden was higher with sirolimus (99 vs. 63 events), including one possibly drug‐related serious adverse event (pneumonia).
Conclusion
In this exploratory trial, once‐weekly sirolimus (rapamycin) 6 mg did not enhance, and in sensitivity analyses, it may have modestly attenuated short‐term functional improvements from a home exercise programme in older adults. The regimen also increased the burden of minor adverse events and may have contributed to one serious infection. Future trials with longer treatment duration or less frequent/lower dosing are needed to determine whether a favourable benefit–risk profile can be achieved.
Trial Registration: ACTRN12624000790549
Keywords: aging, exercise training, Geroscience, mTOR, mTORC1 inhibition, physical function, randomised controlled trial, rapamycin, sarcopenia, sirolimus
1. Background and Rationale
Loss of muscle mass and strength accelerates after midlife, contributing to falls, disability, hospital admission and mortality [1, 2]. Exercise and adequate protein intake can mitigate these declines, yet some older adults show limited anabolic responses [2].
The mechanistic target of rapamycin complex 1 (mTORC1) is a central regulator of skeletal muscle protein synthesis and hypertrophy and is implicated in age related anabolic resistance [3]. Overload and growth factor studies in rodents established that intact mTORC1 signalling is required for skeletal muscle hypertrophy: pharmacologic mTORC1 inhibition with rapamycin largely prevents load‐induced compensatory hypertrophy in rodents by inhibiting the IGF‐1/PI3K/Akt/mTOR pathway [4, 5, 6]. A single large dose of rapamycin also abolishes the post‐exercise rise in muscle protein synthesis in young men [7].
More recent preclinical data, however, are conflicting. Although high‐dose daily doses reliably blunt training adaptations, low‐dose or intermittent rapamycin dosing regimens often spare and occasionally enhance functional outcomes in aged mice [8, 9]. Partial mTORC1 inhibition reverses sarcopenia in rodents by increasing muscle mass and fibre cross‐sectional area while downregulating senescence and denervation gene programmes [10]. With aging, basal mTORC1 activity appears chronically elevated in some tissues, potentially suppressing autophagy and accelerating atrophy [3, 11]. Taken together, these data indicate that dose, schedule and timing relative to exercise are critical determinants of whether mTORC1 inhibition impairs, spares or potentially augments adaptation.
This tension has motivated the ‘cycling’ hypothesis: deliberately alternating mTORC1 activation (during and immediately after exercise) and inhibition (on non‐training days) might preserve or amplify training‐induced gains while still permitting autophagy‐mediated rejuvenation.
Sirolimus is a specific allosteric inhibitor of mTORC1, with partial inhibition of mTORC2 only after prolonged exposure [12]. In rodents, it extends lifespan and delays age‐related declines in cognition, kidney function and tendon function; transient midlife treatment reverses declines in the heart, immune system and oral cavity [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27]. Based on prior weekly dosing studies in healthy adults and older cohorts, a 6 mg once weekly dose was expected to yield partial mTORC1 inhibition for several days each week without mTORC2 blockade [28]. Although we did not measure pharmacodynamic markers in this trial, prior human studies confirm that 5–6 mg weekly sirolimus inhibits S6K1 phosphorylation for ≥ 5–7 days, whereas mTORC2 remains unaffected [29].
Early human studies show that intermittent sirolimus (rapamycin) dosing is feasible and well tolerated in older adults. Small trials of daily dosing in coronary artery disease and aged volunteers reported minimal adverse effects but were underpowered for strength outcomes [30, 31]. Selective mTORC1 inhibition enhanced influenza vaccine responses and reduced infections over 12 months [29]. Weekly dosing in healthy men partially inhibited mTORC1 while improving insulin‐stimulated glucose uptake, and a larger study in healthy adults found that low‐dose weekly rapamycin was safe, increased lean tissue mass and reduced pain without adverse metabolic or haematologic changes [28, 32]. However, no published trial has combined once weekly sirolimus (rapamycin) with at‐home exercise while measuring validated functional endpoints such as the 30‐s chair‐stand test (30CST), 6‐min walk test or hand‐grip strength. The optimal cadence that balances autophagy activation and anabolic adaptation therefore remains unknown.
Beyond skeletal muscle, mTORC1 inhibition is hypothesised to slow systemic aging and reduce chronic inflammation (inflammaging). Therefore, determining whether intermittent dosing suppresses inflammatory markers (such as C‐reactive protein [CRP]) or slows biological aging clocks (DNA methylation) is critical for establishing the broader therapeutic potential of this regimen.
The RAPA‐EX‐01 trial was therefore designed as the first double‐blind, randomised, placebo‐controlled, exploratory trial to directly test the cycling hypothesis. We administered sirolimus (rapamycin) 6 mg (or placebo) once weekly, deliberately timed 24 h after the last exercise session of each week so as not to overlap with peak post‐exercise anabolic signalling, during a 13‐week progressive home‐based strength and endurance programme in sedentary 65‐ to 85‐year‐olds. The trial was primarily intended to generate precise effect‐size estimates and safety data to inform the design and sample size of a future confirmatory randomised controlled trial while also assessing whether the intervention produced a clinically meaningful signal of benefit, harm or neutrality.
2. Methods
2.1. Trial Design and Oversight
We conducted a single‐centre, randomised, double‐blind, placebo‐controlled, parallel‐group exploratory trial at Aotearoa Clinical Trials Trust (Auckland, New Zealand). The protocol was approved by the New Zealand Northern B Health and Disability Ethics Committee (2024 FULL 20084), registered with ANZCTR (ACTRN12624000790549) and published in Trials [33]. All participants provided written informed consent. The trial timeline and schedule of assessments are detailed in Table 1.
TABLE 1.
Participant timeline and schedule of assessments.
| Procedures and assessments | Visit 1 | Visit 2 | Visit 2a | Visit 3 | Visit 4 |
|---|---|---|---|---|---|
| Screening | Baseline | Phone call | Interim assessment | EOS | |
| Day −28 to −1 | Day 0 | Within 6 days of baseline | Day 42 ± 7 | Day 91 + 7 | |
| Informed consent | x | ||||
| Review of | x | x | |||
| Subject | |||||
| Eligibility | |||||
| Demographics a | x | ||||
| Medical history | x | ||||
| Auscultate the heart to check for murmurs | x | ||||
| Vital signs b | x | x | x | x | |
| ECG | x | ||||
| Haematology and biochemistry | x c | x d | x c | ||
| DNA methylation (TruDiagnostics) | x | x | |||
| SF‐36 Questionnaire | x | x | |||
| Assessment of ability to complete 30‐s chair‐stand test | x | ||||
| Randomisation | x | ||||
| Allocation of weekly | x | x | |||
| Medication e | |||||
| Confirm participant Day 1 | x | ||||
| Weekly participant contact | x f | ||||
| Adverse event collection | x | x | x | x | |
| Distribute subject diary card | x | x | |||
| Collect subject diary cards | x | x | |||
| 30‐s chair‐stand test | x | x | x | ||
| Hand grip strength | x | x | x | ||
| 6‐min walk test | x | x |
Race, gender at birth, contact details, height and weight.
Resting heart rate, blood pressure and oxygen saturations.
Full blood count, eGFR, urea and electrolytes, LFTs, HbA1c, lipids, IGF‐1, CRP.
Full blood count, LFTs, lipids.
Allocation of investigational product for 6‐week period, followed by a 7‐week period.
Participants are to be contacted by phone each week. Participants who cannot be reached following two phone contact attempts in a week can be sent a text message or email.
2.2. Participants
We recruited community‐dwelling adults aged 65–85 years. To target a population likely to benefit from exercise initiation, inclusion required a sedentary lifestyle, defined as performing moderate intensity exercise for less than 15 min, three times per week. Exclusion criteria included uncontrolled diabetes (HbA1c ≥ 60 mmol/mol), significant renal (eGFR < 30 mL/min) or hepatic impairment, chronic corticosteroid use or contraindications to sirolimus. Participants taking rate‐limiting cardiac medications (e.g., beta‐blockers) were not excluded provided the condition was stable.
2.3. Randomisation and Blinding
Participants were randomly assigned (1:1) to sirolimus (rapamycin) or placebo using a computer‐generated sequence stratified by age (65–74 and 75–85 years). The allocation sequence was generated by an independent statistician and implemented via a secure REDCap module; allocation remained concealed from participants, care providers and outcome assessors throughout the trial.
2.4. Study Drug
Participants self‐administered three #000 capsules containing either 6 mg sirolimus (rapamycin; 3 × 2 mg Rapamune tablets) or matched microcrystalline cellulose placebo once weekly for 13 weeks. To minimise interference with exercise‐induced anabolic signalling, dosing was prescribed for ‘Day 6’ of each training week, approximately 24 h after the final exercise session.
2.5. Exercise Programme
Both groups performed an identical home‐based exercise programme three times per week (Days 1, 3, and 5) as outlined in Table 2. The regimen consisted of two components. First, a resistance component (30‐s chair stand) where participants performed maximum repetitions of standing from a seated position in 30 s. Although external weight was not added, progressive overload was achieved via ‘density training’, where participants were instructed to increase the number of repetitions performed within the fixed time interval as their fitness improved. Second, an endurance component using a provided magnetic resistance exercycle. The protocol followed a fixed 13‐week progression (Table 3), starting at 10 min (Level 1 resistance) and titrating up to 25 min (Level 5 resistance) by Week 9. Intensity was prescribed via mechanical targets (Resistance Level 1–5 and RPM 70–80) rather than heart‐rate zones. This ensured that participants on beta‐blockers or with chronotropic incompetence received a consistent physiological work stimulus. Where participants were unable to complete the exercycle training programme due to difficulty, the programme could be adjusted whereby the resistance setting was lowered, followed by a reduction in speed. If a participant still could not complete the training programme, they aimed to ride for as long as they were able before moving to the cooldown phase. Participants recorded exercise activities in their Participant Diary, and specifically for the exercycle sessions, the participants included the length of training, the RPM and the resistance setting.
TABLE 2.
Weekly schedule.
| Day 1 | Training programme |
| Day 2 | Rest day |
| Day 3 | Training programme |
| Day 4 | Rest |
| Day 5 | Training programme |
| Day 6 | Rest day |
| Day 7 | Rest day |
TABLE 3.
Exercycle protocol.
| Week | Warm‐up | Training | Cooldown |
|---|---|---|---|
| 1 | 2 min@50 RPM | 10 min@70–80 RPM, Resistance Level 1 | 2 min@45 RPM |
| 2 | 2 min@50 RPM | 15 min@70–80 RPM, Resistance Level 1 | 2 min@45 RPM |
| 3 | 2 min@50 RPM | 20 min@70–80 RPM, Resistance Level 2 | 2 min@45 RPM |
| 4 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 2 | 2 min@45 RPM |
| 5 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 3 | 2 min@45 RPM |
| 6 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 3 | 2 min@45 RPM |
| 7 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 4 | 2 min@45 RPM |
| 8 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 4 | 2 min@45 RPM |
| 9 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 5 | 2 min@45 RPM |
| 10 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 5 | 2 min@45 RPM |
| 11 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 5 | 2 min@45 RPM |
| 12 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 5 | 2 min@45 RPM |
| 13 | 2 min@50 RPM | 25 min@70–80 RPM, Resistance Level 5 | 2 min@45 RPM |
2.6. Outcomes
The primary outcome was the change in lower‐body functional performance measured by the 30CST from baseline to Week 13. Secondary functional outcomes included the change in 6‐min walk distance (6MWD) assessed on a 30‐m indoor course and dominant‐hand grip strength measured as the maximum of three trials using a hydraulic dynamometer. Health‐related quality of life was assessed using the SF‐36 Physical and Mental Component Summary scores. Exploratory mechanistic endpoints included CRP, which serves as a marker of inflammation, and epigenetic age acceleration derived from genome‐wide DNA methylation profiling (TruDiagnostic TruAge). Safety was assessed via the incidence of adverse events (AEs; CTCAE v5.0) and changes in safety laboratory parameters.
2.7. Sample Size
The sample size of 40 participants (20 per arm) was determined to provide reasonable precision for estimating effect sizes and variance components in an exploratory setting [34, 35]. This sample size yields approximately 80% power at a two‐sided alpha of 0.05 to detect a large effect size (Cohen's d ≈0.80–0.90) on the primary outcome using ANCOVA adjusted for baseline values. Additionally, this sample size enables detection of AE rate ratios between approximately 2.4 and 3.7, providing reasonable sensitivity to clinically important safety signals. The target of 40 participants also represented the maximum feasible enrolment given single‐site operational capacity and funding constraints. No interim analyses or stopping rules were planned.
2.8. Statistical Analysis
All analyses were performed in R Version 4.4.0 and the R script is available as a supplementary file. The primary efficacy analysis was performed on an intention‐to‐treat (ITT) basis including all randomised participants. The Week 13 chair‐stand count was compared between arms using a linear regression model adjusted for sex, age group (< 75 vs. ≥ 75 years) and baseline values of chair‐stand, hand‐grip strength and 6MWD. Because heteroskedasticity was anticipated, standard errors and confidence intervals were estimated using a Rademacher wild bootstrap with 999 replicates. Missing outcome data were handled via multiple imputation using predictive mean matching (15 imputed datasets).
Secondary outcomes (grip strength, 6‐min walk, SF‐36 scores, CRP and epigenetic clocks) were analysed using the same baseline‐adjusted model and wild‐bootstrap approach. Prespecified sensitivity analyses included a complete‐case analysis (participants with paired baseline and Week 13 data) and a per‐protocol analysis (participants completing ≥ 75% of prescribed doses and exercise sessions). AEs were analysed using negative binomial regression to compare event counts between groups. As this was an exploratory trial, no adjustments were made for multiplicity.
3. Results
3.1. Recruitment and Baseline Data
Between 29 July 2024 and 30 September 2024, 45 individuals were assessed for eligibility; 40 participants were randomised (20 assigned to sirolimus, 20 to placebo). Baseline demographic and clinical characteristics were well balanced between groups (Table 4). Detailed baseline vital signs, laboratory parameters and individual SF‐36 domain scores are provided as Table S1. Follow‐up was completed on 14 January 2025. Five participants in the sirolimus (rapamycin) arm and three in the placebo arm discontinued the intervention early, but their available data were included in the ITT analysis (Figure 1).
TABLE 4.
Key baseline data.
| Placebo | Active | Overall | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SD | Min | Max | Median | Q25 | Q75 | Mean | SD | Min | Max | Median | Q25 | Q75 | Mean | SD | Min | Max | Median | Q25 | Q75 | |
| Female (proportion) | 0.40 | 0.55 | 0.48 | ||||||||||||||||||
| Age (years) | 71.95 | 5.49 | 65.00 | 82.00 | 71.50 | 66.75 | 75.75 | 72.40 | 5.06 | 65.00 | 81.00 | 71.50 | 68.75 | 76.50 | 72.18 | 5.22 | 65.00 | 82.00 | 71.50 | 67.75 | 76.50 |
| Height (cm) | 167.65 | 8.18 | 150.00 | 181.00 | 167.00 | 161.75 | 175.00 | 168.40 | 10.43 | 150.00 | 186.00 | 169.50 | 163.00 | 174.50 | 168.03 | 9.26 | 150.00 | 186.00 | 168.00 | 161.75 | 175.00 |
| Weight (kg) | 85.65 | 16.77 | 49.00 | 113.00 | 85.50 | 76.25 | 101.00 | 81.80 | 14.10 | 59.00 | 111.00 | 79.50 | 73.75 | 90.25 | 83.73 | 15.42 | 49.00 | 113.00 | 81.00 | 74.00 | 94.25 |
| Chair‐stand test (reps) | 14.30 | 3.42 | 9.00 | 22.00 | 14.00 | 12.50 | 17.00 | 13.75 | 2.12 | 10.00 | 17.00 | 13.00 | 12.00 | 16.00 | 14.03 | 2.82 | 9.00 | 22.00 | 13.50 | 12.00 | 16.00 |
| Hand grip strength (kg) | 34.05 | 8.58 | 24.00 | 53.00 | 32.00 | 26.75 | 39.25 | 30.75 | 9.00 | 21.00 | 50.00 | 29.00 | 22.75 | 34.75 | 32.40 | 8.84 | 21.00 | 53.00 | 31.00 | 25.75 | 37.25 |
| 6‐min walk distance (m) | 506.30 | 63.53 | 347.00 | 624.00 | 526.00 | 454.75 | 542.00 | 494.45 | 55.70 | 408.00 | 607.00 | 489.50 | 456.25 | 531.25 | 500.38 | 59.27 | 347.00 | 624.00 | 503.00 | 454.75 | 540.25 |
| CRP (mg/L) | 2.15 | 1.57 | 1.00 | 5.00 | 1.00 | 1.00 | 3.00 | 2.10 | 2.59 | 1.00 | 10.00 | 1.00 | 1.00 | 2.00 | 2.09 | 2.06 | 1.00 | 10.00 | 1.00 | 1.00 | 3.00 |
| Physical component summary (PCS) | 49.92 | 4.39 | 40.60 | 57.36 | 50.39 | 47.33 | 52.50 | 48.94 | 5.68 | 37.54 | 57.48 | 49.64 | 46.58 | 52.40 | 49.49 | 4.74 | 37.54 | 57.48 | 50.00 | 47.27 | 52.06 |
| Mental component summary (MCS) | 51.96 | 4.61 | 35.47 | 56.74 | 52.70 | 50.98 | 54.37 | 49.52 | 7.89 | 23.30 | 57.74 | 51.24 | 47.69 | 54.88 | 50.66 | 6.12 | 23.30 | 57.74 | 51.42 | 50.00 | 54.23 |
| PCGrimAge (years) | 77.80 | 5.37 | 68.45 | 85.47 | 77.65 | 73.53 | 83.47 | 79.81 | 5.38 | 71.51 | 91.72 | 80.31 | 74.52 | 81.81 | 78.80 | 5.40 | 68.45 | 91.72 | 78.81 | 74.10 | 83.07 |
| SystemsAge (years) | 73.09 | 7.70 | 60.64 | 87.60 | 71.80 | 68.22 | 76.80 | 73.30 | 9.50 | 55.83 | 90.37 | 73.83 | 63.83 | 81.96 | 73.20 | 8.54 | 55.83 | 90.37 | 72.28 | 67.55 | 79.65 |
| OMICmAge (years) | 69.42 | 5.20 | 63.37 | 82.57 | 68.87 | 65.15 | 71.68 | 69.32 | 5.12 | 61.64 | 77.13 | 69.78 | 65.40 | 73.70 | 69.37 | 5.09 | 61.64 | 82.57 | 69.21 | 65.21 | 73.70 |
| DunedinPACE (ratio) | 1.06 | 0.14 | 0.83 | 1.40 | 1.08 | 0.96 | 1.12 | 1.03 | 0.12 | 0.88 | 1.34 | 0.99 | 0.95 | 1.08 | 1.05 | 0.13 | 0.83 | 1.40 | 1.03 | 0.96 | 1.10 |
FIGURE 1.

CONSORT flow diagram.
3.2. Intervention Delivery and Adherence
Adherence to the protocol was high. Median medication adherence was 90.9% (IQR 80.8–100.0) in the placebo arm and 87.3% (IQR 76.6–100.0) in the sirolimus (rapamycin) arm. Exercise adherence was similarly robust, with mean session completion rates of 77.3% (SD 34.7%) and 72.6% (SD 38.1%), respectively (mean difference 4.7 percentage points; 95% CI −18.6 to 28.0; p = 0.69).
To address potential confounding by exercise intensity tolerance, we analysed daily session logs. Deviations from the prescribed workload (e.g., reducing resistance below the weekly target or stopping a session early due to fatigue) were rare, occurring in less than 1% of total scheduled sessions across both groups. Furthermore, the use of rate‐limiting cardiac medications (beta‐blockers) was balanced between arms (n = 2 in sirolimus; n = 2 in placebo), suggesting that chronotropic incompetence did not differentially affect the ability to achieve the prescribed mechanical workload targets.
3.3. Primary Outcome—30CST
Both groups improved their lower‐body functional performance over 13 weeks (Figure 2A). In the primary ITT analysis (n = 40), the baseline‐adjusted mean difference in 30‐s chair‐stand repetitions at Week 13 (sirolimus minus placebo) was −2.13 repetitions (95% CI −4.61 to 0.34; p = 0.089). This represented a small‐to‐medium negative effect size (Cohen's d = −0.53).
FIGURE 2.

Panel (A) summarises group‐level performance at baseline and at 13 weeks. For each treatment group, the mean chair‐stand count is plotted, flanked by vertical bars representing approximate 95% confidence intervals. Individual participant values are drawn as faint points behind the means to convey the variability within each group. Panel (B) presents ‘spaghetti’ plots of individual trajectories from baseline to 13 weeks. Every participant is represented by a line; the treatment assignment is indicated by colour. This allows readers to see the distribution of responses rather than just the average change. Panel (C) depicts the distribution of change scores—13‐week count minus baseline count—for each group. Density estimates are combined with box plots and jittered points to illustrate both the shape and spread of the data. A narrow, right‐shifted distribution would imply consistent improvement; overlap between the groups suggests that differences may be modest. Panel (D) shows the distribution of absolute chair‐stand counts at 13 weeks for each group. As in Figure 2C, density plots and box plots are overlaid with individual data points. This panel focuses on end‐of‐study performance rather than change. Panel (E) plots chair‐stand counts at all available time points. The horizontal axis explicitly labels 0, 6 and 13 weeks, and a linear regression line is fitted within each treatment group. A steeper slope indicates a greater increase in repetitions over time. Panel (F) compares baseline and final chair‐stand counts for each participant. Group‐specific regression lines are fitted using all available data points and are extended across the full range of baseline values. A 45° reference line (grey dotted) indicates no change. Points above this reference line show improvement; points below show decline.
Prespecified sensitivity analyses, which excluded non‐adherent participants or those with missing data, indicated a significant attenuation of benefit in the treatment arm. The complete‐case analysis (16 sirolimus, 19 placebo) yielded a mean difference of −2.46 repetitions (95% CI −4.87 to −0.06; p = 0.045; Cohen's d = −0.64). The per‐protocol analysis (15 sirolimus, 16 placebo) showed a large negative effect, with a difference of −3.44 repetitions (95% CI −5.86 to −0.99; p = 0.007; Cohen's d = −0.90).
3.4. Secondary Outcomes
Secondary functional and patient‐reported outcomes followed a similar pattern, with point estimates favouring placebo, though differences did not reach statistical significance.
The adjusted mean difference for the 6MWD was −4.87 m (95% CI −28.97 to 19.71; p = 0.706; Cohen's d = −0.26). Grip strength showed a difference of −1.19 kg (95% CI −3.52 to 1.18; p = 0.344; Cohen's d = −0.40).
Self‐reported health‐related quality of life (SF‐36) showed negligible between‐group differences. The adjusted mean difference for the Physical Component Summary was −2.76 points (95% CI −8.81 to 3.32; p = 0.376), and for the Mental Component Summary was −1.22 points (95% CI −4.16 to 1.91; p = 0.455).
Exploratory analysis of CRP showed a mean difference of +4.26 mg/L (95% CI −0.04 to 8.68; p = 0.152) in the sirolimus arm. However, this was driven by two outliers in the treatment group with marked elevations (17 and 50 mg/L) at Week 13; excluding these participants reduced the difference to < 1 mg/L. Epigenetic age measures showed mixed, non‐significant trends (Table 5).
TABLE 5.
Primary and secondary outcome results.
| Outcome | Baseline rapamycin mean ± SD | Baseline placebo mean ± SD | Week 13 rapamycin mean ± SD | Week 13 placebo mean ± SD | Adjusted difference ITT | 95% CI ITT | p ITT | t‐statistic (df) (ITT) | F‐statistic (df1, df2) (ITT) | Partial eta2 (ITT) | Cohen's d (ITT) | Adjusted difference (CC) | 95% CI (CC) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 30‐s chair‐stand test (repetitions) | 13.75 ± 2.12 | 14.30 ± 3.42 | 17.56 ± 4.18 | 20.89 ± 5.92 | −2.13 | −4.61 to 0.34 | 0.089 | −1.65 (34) | 2.73 (1, 34) | 0.074 | −0.526 | −2.455 | −4.87 to −0.06 |
| Grip strength (kg) | 30.75 ± 9.00 | 34.05 ± 8.58 | 31.71 ± 9.70 | 36.29 ± 9.50 | −1.19 | −3.52 to 1.18 | 0.344 | −1.27 (34) | 1.62 (1, 34) | 0.045 | −0.401 | −1.5233 | −4.00 to 1.03 |
| 6‐min walk (m) | 494.45 ± 55.70 | 506.30 ± 63.53 | 529.62 ± 61.80 | 556.24 ± 64.75 | −4.87 | −28.97 to 19.71 | 0.706 | −0.43 (34) | 0.18 (1, 34) | 0.005 | −0.26 | −3.8019 | −27.76 to 20.71 |
| SF 36 physical component summary | 48.94 ± 5.68 | 49.92 ± 4.39 | 49.32 ± 10.57 | 55.22 ± 6.96 | −2.76 | −8.81 to 3.32 | 0.376 | 0.11 (33) | 0.01 (1, 33) | 0 | −0.471 | −1.2904 | −7.32 to 4.38 |
| SF 36 mental component summary | 49.52 ± 7.89 | 51.96 ± 4.61 | 44.98 ± 6.27 | 43.75 ± 5.76 | −1.22 | −4.16 to 1.91 | 0.455 | −0.73 (33) | 0.53 (1, 33) | 0.016 | 0.214 | −0.5451 | −3.33 to 2.19 |
| C reactive protein (mg L−1) | 2.10 ± 2.59 | 2.15 ± 1.57 | 5.63 ± 12.89 | 1.47 ± 0.62 | 4.26 | −0.04 to 8.68 | 0.152 | 1.94 (38) | 3.78 (1, 38) | 0.09 | 0.516 | ||
| PC GrimAge clock (years) | 79.81 ± 5.38 | 77.80 ± 5.37 | 78.15 ± 5.62 | 79.72 ± 5.69 | −2.28 | −4.93 to 0.44 | 0.098 | −1.57 (33) | 2.46 (1, 33) | 0.069 | −0.112 | ||
| SystemsAge clock (years) | 73.30 ± 9.50 | 73.09 ± 7.70 | 73.57 ± 8.16 | 73.19 ± 8.14 | 1.04 | −0.69 to 2.55 | 0.24 | 1.87 (33) | 3.49 (1, 33) | 0.096 | 0.137 | ||
| OMICmAge clock (years) | 69.32 ± 5.12 | 69.42 ± 5.20 | 70.18 ± 4.43 | 70.32 ± 5.34 | 0.28 | −0.74 to 1.40 | 0.592 | 0.22 (33) | 0.05 (1, 33) | 0.001 | 0.002 | ||
| DunedinPACE clock (unitless) | 1.03 ± 0.12 | 1.06 ± 0.14 | 1.07 ± 0.11 | 1.07 ± 0.14 | 0.0035 | −0.048 to 0.056 | 0.905 | 0.81 (33) | 0.66 (1, 33) | 0.019 | 0.04 |
| Outcome | p (CC) | t‐statistic (df) (CC) | F‐statistic (df1, df2) (CC) | Partial eta2 (CC) | Cohen's d (CC) | Adjusted difference (PP) | 95% CI (PP) | p (PP) | t‐statistic (df) (PP) | F‐statistic (df1, df2) (PP) | Partial eta2 (PP) | Cohen's d (PP) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 30‐s chair stand test (repetitions) | 0.045 | −1.70 (28) | 2.89 (1, 28) | 0.093 | −0.64 | −3.4382 | −5.86 to −0.99 | 0.007 | −2.25 (24) | 5.05 (1, 24) | 0.174 | −0.901 |
| Grip strength (kg) | 0.219 | −1.14 (28) | 1.29 (1, 28) | 0.044 | −0.478 | −2.2852 | −4.78 to 0.25 | 0.079 | −1.55 (24) | 2.40 (1, 24) | 0.091 | −0.609 |
| 6‐min walk (m) | 0.758 | −0.25 (26) | 0.06 (1, 26) | 0.002 | −0.42 | −8.4113 | −32.33 to 15.68 | 0.507 | −0.48 (24) | 0.23 (1, 24) | 0.01 | −0.514 |
| SF 36 physical component summary | 0.663 | −0.39 (28) | 0.15 (1, 28) | 0.005 | −0.668 | 0.501 | −5.04 to 5.72 | 0.858 | 0.15 (23) | 0.02 (1, 23) | 0.001 | −0.562 |
| SF 36 mental component summary | 0.7 | −0.35 (28) | 0.12 (1, 28) | 0.004 | 0.205 | −1.6619 | −4.38 to 1.17 | 0.248 | −0.95 (23) | 0.91 (1, 23) | 0.038 | 0.123 |
| C reactive protein (mg L−1) | ||||||||||||
| PC GrimAge clock (years) | ||||||||||||
| SystemsAge clock (years) | ||||||||||||
| OMICmAge clock (years) | ||||||||||||
| DunedinPACE clock (unitless) |
Overall, across all secondary outcomes the confidence intervals spanned zero and the direction of effect usually favoured placebo, supporting the null hypothesis that once‐weekly sirolimus (rapamycin) does not improve and may modestly attenuate functional or quality‐of‐life gains from exercise over 13 weeks. Detailed descriptive statistics and adjusted estimates for all primary and secondary outcomes are presented in Table 5.
3.5. Safety and AEs
Safety was assessed in all 40 randomised participants. Seventeen participants (85%) in each arm reported at least one AE. However, the total burden of events was numerically higher in the sirolimus arm (99 total events vs. 63 in placebo; incidence rate ratio 1.57; 95% CI 0.86–2.87; p = 0.14). The majority of events were mild (CTCAE Grade 1), with headache, fatigue and upper respiratory tract symptoms being the most common (Table 6). Importantly, events adjudicated as possibly or probably related to the study drug were more frequent in the sirolimus arm (35% vs. 15%).
TABLE 6.
Adverse events and laboratory summary.
| Parameter | Rapamycin baseline | Rapamycin Week 13 | Placebo baseline | Placebo Week 13 | Effect (rapamycin vs. placebo) | 95% CI | p |
|---|---|---|---|---|---|---|---|
| Participants | 20 | 20 | 20 | 20 | |||
| Participants with ≥ 1 AE | 17 | 17 | 0 | ||||
| Participants with ≥ 1 SAE | 1 | 0 | 1 | ||||
| Total AEs | 99 | 63 | 36 | ||||
| Total SAEs | 1 | 0 | 1 | ||||
| Mean AEs per participant | 4.95 | 3.15 | 1.8 | ||||
| Rate ratio for AEs | 1.57 | 0.86–2.87 | 0.14 | ||||
| Albumin (g/L) | 38.9 | 36.3125 | 38.7 | 37.31578947 | −0.99235291 | −2.0767 to 0.049918 | 0.074304757 |
| Alkaline phosphatase (U/L) | 84.1 | 83.125 | 71.5 | 68.63157895 | 5.558858483 | 1.5334–10.049 | 0.012403952 |
| ALT (U/L) | 21.35 | 22.125 | 21.8 | 21.42105263 | −0.261847698 | −6.4278 to 6.2023 | 0.938379587 |
| AST (U/L) | 24.2 | 25.6 | 24.4 | 26.10526316 | −0.845386164 | −5.3749 to 3.6507 | 0.719028392 |
| Basophils (109/L) | 0.09 | 0.06875 | 0.0825 | 0.076315789 | −0.01492288 | −0.042882 to 0.01286 | 0.302533476 |
| Bilirubin (umol/L) | 8.5 | 7.875 | 9.65 | 10 | −1.205745805 | −2.4368 to −0.0084656 | 0.051801228 |
| Cholesterol/HDL ratio | 3.145 | 3.3375 | 3.39 | 3.2 | 0.357053003 | −0.01568 to 0.71116 | 0.060289733 |
| Total cholesterol (mmol/L) | 5.08 | 5.3 | 4.645 | 4.478947368 | 0.489984505 | 0.15821–0.81531 | 0.004137842 |
| Creatinine (umol/L) | 77.75 | 81.3125 | 84.7 | 88.42105263 | −1.539563209 | −6.5912 to 3.4041 | 0.544767618 |
| eGFR (mL/min/1.73 m2) | 76.15 | 72.625 | 72.8 | 70.36842 | −0.33946 | −4.96668 to 4.40918 | 0.943329247 |
| Eosinophils (109/L) | 0.16 | 0.2 | 0.195 | 0.171052632 | 0.045189886 | −0.017116 to 0.10965 | 0.153991273 |
| GGT (U/L) | 24.8 | 25.375 | 26.85 | 26.31579 | −0.4353 | −5.20371 to 4.30872 | 0.938002958 |
| Globulin (g/L) | 35.4 | 35.5625 | 36.55 | 34.84210526 | 1.340366342 | −0.47622 to 3.0773 | 0.150854264 |
| Haematocrit (ratio) | 0.428 | 0.416875 | 0.416 | 0.411578947 | −0.006282783 | −0.018442 to 0.0057992 | 0.31364379 |
| Haemoglobin (g/L) | 140.85 | 136.375 | 140.2 | 137.7894737 | −2.021025826 | −5.0304 to 0.72381 | 0.192315257 |
| HbA1c (mmol/mol) | 40.5 | 42.3125 | 41.7 | 40.68421053 | 1.739615191 | 0.20142–3.2719 | 0.029612417 |
| HDL cholesterol (mmol/L) | 1.69 | 1.69125 | 1.435 | 1.460526316 | −0.016016909 | −0.17244 to 0.12957 | 0.837792368 |
| CRP (mg/L) | 2.1 | 5.625 | 2.15 | 1.473684211 | 4.279445345 | −0.03773 to 8.6786 | 0.15008233 |
| IGF 1 (ng/mL) | 125.7894737 | 137.0625 | 118.65 | 116.4736842 | 12.98168867 | −1.2555 to 27.422 | 0.074071986 |
| LDL cholesterol (mmol/L) | 2.84 | 2.9625 | 2.55 | 2.415789474 | 0.324863694 | 0.023128–0.61462 | 0.036232031 |
| Lymphocytes (109/L) | 1.85 | 1.98125 | 1.805 | 1.884210526 | 0.096171202 | −0.20825 to 0.41639 | 0.536648751 |
| MCV (fL) | 88.85 | 85.75 | 89.25 | 89.21052632 | −2.896436792 | −4.0334 to −1.6326 | 3.25624E‐06 |
| Monocytes (109/L) | 0.55 | 0.5875 | 0.61 | 0.557894737 | 0.089299563 | −0.019064 to 0.19953 | 0.131444507 |
| Neutrophils (109/L) | 3.945 | 3.8875 | 4.22 | 4.257894737 | 0.022679619 | −0.86641 to 0.8688 | 0.95953412 |
| Platelets (109/L) | 261.25 | 261.625 | 264.3 | 254.9473684 | 17.6445312 | 1.5254–32.328 | 0.025145251 |
| Potassium (mmol/L) | 4.2 | 4.06875 | 4.125 | 4.173684211 | −0.131406782 | −0.2883 to 0.022563 | 0.110343363 |
| Total protein (g/L) | 74.3 | 71.875 | 75.25 | 72.15789474 | 0.108620925 | −2.1328 to 2.1452 | 0.920371694 |
| RBC (1012/L) | 4.847 | 4.88625 | 4.673 | 4.628947368 | 0.062305731 | −0.065747 to 0.18721 | 0.359506461 |
| Sodium (mmol/L) | 140.45 | 139.6875 | 140.3 | 140.3157895 | −0.854594658 | −1.9421 to 0.26075 | 0.139196836 |
| Triglycerides (mmol/L) | 1.34 | 1.60625 | 1.62 | 1.515789474 | 0.263522143 | −0.1276 to 0.66205 | 0.205133489 |
| Urea (mmol/L) | 5.8 | 5.90625 | 6.575 | 6.631578947 | −0.076925945 | −0.76184 to 0.55728 | 0.821061955 |
One serious AE occurred in a participant in the sirolimus (rapamycin) arm (ID MDMR‐00015) who developed community‐acquired pneumonia with nasal congestion and severe constipation on 2 October 2024. The participant was hospitalised overnight and treated with intravenous antibiotics and steroids; constipation was managed conservatively. Symptoms resolved, but the participant withdrew from the trial. No other participants discontinued because of AEs. Of note, this participant had only received a single dose of sirolimus (rapamycin); however, given sirolimus (rapamycin)'s immunosuppressive properties, a causal contribution to this serious AE cannot be excluded.
3.6. Lab Safety Analysis
Analysis of safety laboratory parameters revealed several statistically significant but clinically modest shifts in the sirolimus arm (Table 6). Mean corpuscular volume was lower (adjusted difference −2.90 fL; p < 0.001), whereas platelet count (+17.6 × 109/L; p = 0.025), alkaline phosphatase (+5.56 U/L; p = 0.012), LDL cholesterol (+0.32 mmol/L; p = 0.036) and HbA1c (+1.74 mmol/mol; p = 0.030) were slightly elevated compared with placebo. Bilirubin and albumin trended lower, whereas insulin‐like growth factor 1 (IGF‐1) trended higher, though these did not reach statistical significance. As noted in the secondary outcomes, CRP levels were driven by outliers and showed no consistent pattern.
4. Discussion
4.1. Principal Findings
This randomised, double‐blind, exploratory trial evaluated whether once‐weekly sirolimus (rapamycin) 6 mg, timed to avoid peak training windows, could enhance functional adaptations to a 13‐week resistance and endurance programme in sedentary older adults.
Contrary to the ‘cycling hypothesis’ derived from preclinical models, we found no evidence of benefit. Instead, sensitivity analyses (complete‐case and per‐protocol) revealed a statistically significant blunting of functional gains in the sirolimus arm. Specifically, participants taking the drug performed fewer chair‐stand repetitions and showed non‐significant trends toward reduced walking distance and grip strength compared with placebo. Safety monitoring identified a higher burden of minor AEs and one serious infection (pneumonia) in the treatment arm.
4.2. Context and Comparison With Previous Studies
This observation is consistent with classic rodent overload studies in which rapamycin largely prevented compensatory hypertrophy and with acute human data showing that a single large dose abolishes the post‐exercise rise in muscle protein synthesis [4, 5, 7]. This parallels findings from trials of metformin (an indirect mTORC1 inhibitor), where concurrent administration attenuated improvements in muscle mass and strength in older adults [36, 37].
Notably, very recent preclinical data in mice showed no blunting of exercise adaptations with rapamycin; differences in species, sex, dose or timing relative timing likely explain the apparent discrepancy [8].
Although our trial is the first to combine once weekly sirolimus (rapamycin) with exercise in older adults, its findings differ from those of the PEARL study, which administered rapamycin weekly without an exercise programme and reported modest improvements in female lean body mass and pain [28]. Differences in trial duration (48 weeks vs. 13 weeks), endpoints (body composition and symptoms versus functional performance) and the absence of an anabolic stimulus in PEARL likely account for these divergent results. Together, the evidence suggests sirolimus (rapamycin)'s effects are context dependent: possibly beneficial in sedentary settings over longer durations, but counterproductive when overlapping with short term exercise training.
4.3. Mechanistic Explanations
The failure to achieve a ‘best of both worlds’ effect (the concurrent realisation of sirolimus‐induced geroprotection and exercise‐induced muscle hypertrophy) likely stems from a pharmacokinetic mismatch. The ‘cycling hypothesis’ relies on a clear separation between the catabolic/autophagic phase (drug effect) and the anabolic phase (recovery from exercise). Although we dosed sirolimus 24 h after the final weekly exercise session, the drug's terminal half‐life of approximately 62 h implies that biologically active concentrations persisted well into the subsequent training week [38]. Consequently, mTORC1 (the master regulator of translation initiation) likely remained partially inhibited during the critical post‐exercise windows of the following sessions, thereby dampening the hypertrophic response.
4.4. Safety Implications
Although weekly sirolimus is often discussed as a potential longevity therapeutic, our data warrant caution regarding its short‐term safety profile in active older adults. The treatment arm experienced a 57% higher incidence rate of AEs, driven by minor infections and constitutional symptoms. The occurrence of community‐acquired pneumonia requiring hospitalisation in one participant, though singular, aligns with the drug's known immunosuppressive mechanism.
4.5. Strengths and Limitations
Strengths of this trial include the double‐blind, placebo‐controlled design, high adherence to the home‐based protocol, and the use of validated functional endpoints. We also addressed potential confounders such as beta‐blocker use and exercise intensity tolerance, finding no evidence that these factors biased the results.
A key limitation was the home‐based nature of the exercise intervention. Unlike gym‐based training with external weights, our chair‐stand protocol relied on body weight. Although we employed ‘density training’ (increasing repetition volume within a fixed time) to ensure progressive overload, this approach may have a lower ceiling for maximal strength development than heavy resistance training. Furthermore, the trial was limited to 13 weeks, so the longer‐term effects of combining sirolimus (rapamycin) with exercise, particularly with lower doses or less frequent administration, remain unknown. Finally, we did not perform muscle biopsies or pharmacokinetic monitoring, so our mechanistic attribution of the ‘blunting’ effect to persistent mTORC1 inhibition remains inferential.
Finally, although we did not use accelerometry to quantify total non‐exercise physical activity (NEPA), participants recorded additional voluntary physical activity (e.g., walking, gardening) in daily diaries; review of these records suggests no systematic difference in extra‐curricular activity between groups.
4.6. Implications for Future Research
Future research should explore regimens that lengthen the time between doses (e.g., every 3–6 weeks). Given sirolimus's ~62‐h terminal half‐life, this interval would allow for near‐complete drug clearance, ensuring mTORC1 signalling can recover to support exercise adaptations. Furthermore, a longer interdose interval may mitigate the risk of continuous immunosuppression and AEs, such as the serious infection observed in this trial, by allowing cyclical recovery of immune function. Testing such schedules would require at least 12 months of follow‐up. Sirolimus (rapamycin)'s putative benefits on epigenetic aging, chronic inflammation and body composition likely accrue slowly; short trials risk missing meaningful divergences. Moreover, although our initial data suggests that sirolimus (rapamycin) 6 mg once weekly may blunt early training gains, it may plausibly flatten the longer‐term slope of functional decline. Observing function over a full year would reveal whether longer interdose intervals lead to net preservation of strength and endurance or merely shift the timing of adaptations.
5. Conclusion
In sedentary older adults, adding once‐weekly sirolimus (rapamycin) 6 mg to a 13‐week resistance and endurance exercise programme did not enhance functional performance and may instead have attenuated training‐induced gains. The regimen was associated with an increased burden of AEs. Although sirolimus (rapamycin) may still hold geroprotective promise, its use alongside training clearly demands optimisation of timing and confirmation in longer, adequately powered trials. Until such evidence emerges, regular physical activity remains the unequivocal first line strategy for preserving and improving function in older adults.
Funding
This trial was funded entirely by public donations (crowdfunding) facilitated by Lifespan.io and VitaDAO. The funds were administered by Dr Brad Stanfield Ltd. Neither Lifespan.io nor VitaDAO had any role in the study design, data collection, analysis, decision to publish or preparation of the manuscript.
Conflicts of Interest
The authors declare no conflicts of interest regarding the study drug or intervention.
B.S. receives advertising revenue from his YouTube channel and is the founder of MicroVitamin, a dietary supplement company; neither entity has commercial ties to sirolimus (rapamycin). He declares no financial affiliation with Pfizer. To ensure independence, data collection was conducted by the Aotearoa Clinical Trials Trust without his influence. M.K. is the Chief Executive Officer of and holds equity in Optispan Inc. J.J. and R.L. are employees of BioValeo, the Contract Research Organization (CRO) commissioned to manage the study. B.L. declares no competing interests. The study drug was purchased commercially from Pfizer; the manufacturer had no input into the trial.
Supporting information
Data S1: Supporting information.
Acknowledgments
Open access publishing facilitated by The University of Auckland, as part of the Wiley ‐ The University of Auckland agreement via the Council of Australasian University Librarians.
References
- 1. Lexell J. and Lexell J., “Human Aging, Muscle Mass, and Fiber Type Composition,” Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 50 (1995): 11–16. [DOI] [PubMed] [Google Scholar]
- 2. Strasser B., Volaklis K., Fuchs D., and Burtscher M., “Role of Dietary Protein and Muscular Fitness on Longevity and Aging,” Aging and Disease 9, no. 1 (2018): 119–132. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Ham D. J., Börsch A., Chojnowska K., et al., “Distinct and Additive Effects of Calorie Restriction and Rapamycin in Aging Skeletal Muscle,” Nature Communications 13, no. 1 (2022): 2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Bodine S. C., Stitt T. N., Gonzalez M., et al., “Akt/mTOR Pathway Is a Crucial Regulator of Skeletal Muscle Hypertrophy and Can Prevent Muscle Atrophy In Vivo,” Nature Cell Biology 3, no. 11 (2001): 1014–1019. [DOI] [PubMed] [Google Scholar]
- 5. Rommel C., Bodine S. C., Clarke B. A., et al., “Mediation of IGF‐1‐Induced Skeletal Myotube Hypertrophy by PI(3)K/Akt/mTOR and PI(3)K/Akt/GSK3 Pathways,” Nature Cell Biology 3, no. 11 (2001): 1009–1013. [DOI] [PubMed] [Google Scholar]
- 6. Kraemer W. J., Gordon S. E., Fleck S. J., et al., “Endogenous Anabolic Hormonal and Growth Factor Responses to Heavy Resistance Exercise in Males and Females,” International Journal of Sports Medicine 12, no. 2 (1991): 228–235. [DOI] [PubMed] [Google Scholar]
- 7. Gundermann D. M., Walker D. K., Reidy P. T., et al., “Activation of mTORC1 Signaling and Protein Synthesis in Human Muscle Following Blood Flow Restriction Exercise Is Inhibited by Rapamycin,” American Journal of Physiology. Endocrinology and Metabolism 306, no. 10 (2014): E1198–E1204. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Elliehausen C. J., Olszewski S. S., Minton D. M., et al., “Rapamycin Does Not Compromise Exercise‐Induced Muscular Adaptations in Female Mice,” Aging Cell 24, no. 10 (2025): e70183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Xue Q. L., Yang H., Li H. F., et al., “Rapamycin Increases Grip Strength and Attenuates Age‐Related Decline in Maximal Running Distance in Old Low Capacity Runner Rats,” Aging 8, no. 4 (2016): 769–776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Joseph G. A., Wang S. X., Jacobs C. E., et al., “Partial Inhibition of mTORC1 in Aged Rats Counteracts the Decline in Muscle Mass and Reverses Molecular Signaling Associated With Sarcopenia,” Molecular and Cellular Biology 39, no. 19 (2019): e00141–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Markofski M. M., Dickinson J. M., Drummond M. J., et al., “Effect of Age on Basal Muscle Protein Synthesis and mTORC1 Signaling in a Large Cohort of Young and Older Men and Women,” Experimental Gerontology 65 (2015): 1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Liu G. Y. and Sabatini D. M., “mTOR at the Nexus of Nutrition, Growth, Ageing and Disease,” Nature Reviews. Molecular Cell Biology 21, no. 4 (2020): 183–203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Bitto A., Ito T. K., Pineda V. V., et al., “Transient Rapamycin Treatment Can Increase Lifespan and Healthspan in Middle‐Aged Mice,” eLife 5 (2016): e16351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Harrison D. E., Strong R., Sharp Z. D., et al., “Rapamycin Fed Late in Life Extends Lifespan in Genetically Heterogeneous Mice,” Nature 460, no. 7253 (2009): 392–395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Miller R. A., Harrison D. E., Astle C. M., et al., “Rapamycin, but Not Resveratrol or Simvastatin, Extends Life Span of Genetically Heterogeneous Mice,” Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 66, no. 2 (2011): 191–201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Miller R. A., Harrison D. E., Astle C. M., et al., “Rapamycin‐Mediated Lifespan Increase in Mice Is Dose and Sex Dependent and Metabolically Distinct From Dietary Restriction,” Aging Cell 13, no. 3 (2014): 468–477. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Halloran J., Hussong S. A., Burbank R., et al., “Chronic Inhibition of Mammalian Target of Rapamycin by Rapamycin Modulates Cognitive and Non‐Cognitive Components of Behavior Throughout Lifespan in Mice,” Neuroscience 223 (2012): 102–113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Majumder S., Caccamo A., Medina D. X., et al., “Lifelong Rapamycin Administration Ameliorates Age‐Dependent Cognitive Deficits by Reducing IL‐1β and Enhancing NMDA Signaling,” Aging Cell 11, no. 2 (2012): 326–335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Shavlakadze T., Zhu J., Wang S., et al., “Short‐Term Low‐Dose mTORC1 Inhibition in Aged Rats Counter‐Regulates Age‐Related Gene Changes and Blocks Age‐Related Kidney Pathology,” Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 73, no. 7 (2018): 845–852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Zaseck L. W., Miller R. A., and Brooks S. V., “Rapamycin Attenuates Age‐Associated Changes in Tibialis Anterior Tendon Viscoelastic Properties,” Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 71, no. 7 (2016): 858–865. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Garcia D. N., Saccon T. D., Pradiee J., et al., “Effect of Caloric Restriction and Rapamycin on Ovarian Aging in Mice,” Geroscience 41, no. 4 (2019): 395–408. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Altschuler R. A., Kabara L., Martin C., et al., “Rapamycin Added to Diet in Late Mid‐Life Delays Age‐Related Hearing Loss in UMHET4 Mice,” Frontiers in Cellular Neuroscience 15 (2021): 658972. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Yilmaz O. H., Katajisto P., Lamming D. W., et al., “mTORC1 in the Paneth Cell Niche Couples Intestinal Stem‐Cell Function to Calorie Intake,” Nature 486, no. 7404 (2012): 490–495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Flynn J. M., O'Leary M. N., Zambataro C. A., et al., “Late‐Life Rapamycin Treatment Reverses Age‐Related Heart Dysfunction,” Aging Cell 12, no. 5 (2013): 851–862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Dai D. F., Karunadharma P. P., Chiao Y. A., et al., “Altered Proteome Turnover and Remodeling by Short‐Term Caloric Restriction or Rapamycin Rejuvenate the Aging Heart,” Aging Cell 13, no. 3 (2014): 529–539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Chen C., Liu Y., Liu Y., and Zheng P., “mTOR Regulation and Therapeutic Rejuvenation of Aging Hematopoietic Stem Cells,” Science Signaling 2, no. 98 (2009): ra75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. An J. Y., Kerns K. A., Ouellette A., et al., “Rapamycin Rejuvenates Oral Health in Aging Mice,” eLife 9 (2020): e54318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Moel M., Harinath G., Lee V., et al., “Influence of Rapamycin on Safety and Healthspan Metrics After One Year: PEARL Trial Results,” Aging 17, no. 4 (2025): 908–936. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Mannick J. B., Morris M., Hockey H. U. P., et al., “TORC1 Inhibition Enhances Immune Function and Reduces Infections in the Elderly,” Science Translational Medicine 10, no. 449 (2018): eaaq1564. [DOI] [PubMed] [Google Scholar]
- 30. Singh M., Jensen M. D., Lerman A., et al., “Effect of Low‐Dose Rapamycin on Senescence Markers and Physical Functioning in Older Adults With Coronary Artery Disease: Results of a Pilot Study,” Journal of Frailty & Aging 5, no. 4 (2016): 204–207. [DOI] [PubMed] [Google Scholar]
- 31. Kraig E., Linehan L. A., Liang H., et al., “A Randomized Control Trial to Establish the Feasibility and Safety of Rapamycin Treatment in an Older Human Cohort: Immunological, Physical Performance, and Cognitive Effects,” Experimental Gerontology 105 (2018): 53–69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Krebs M., Brunmair B., Brehm A., et al., “The Mammalian Target of Rapamycin Pathway Regulates Nutrient‐Sensitive Glucose Uptake in Man,” Diabetes 56, no. 6 (2007): 1600–1607. [DOI] [PubMed] [Google Scholar]
- 33. Stanfield B., Kaeberlein M., Leroux B., Jones J., Lucas R., and Arroll B., “A Single‐Center, Double‐Blind, Randomized, Placebo‐Controlled, Two‐Arm Study to Evaluate the Safety and Efficacy of Once‐Weekly Sirolimus (Rapamycin) on Muscle Strength and Endurance in Older Adults Following a 13‐Week Exercise Program,” Trials 25, no. 1 (2024): 642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Julious S. A., “Sample Size of 12 Per Group Rule of Thumb for a Pilot Study,” Pharmaceutical Statistics 4 (2005): 287–291. [Google Scholar]
- 35. Whitehead A. L., Julious S. A., Cooper C. L., and Campbell M. J., “Estimating the Sample Size for a Pilot Randomised Trial to Minimise the Overall Trial Sample Size for the External Pilot and Main Trial for a Continuous Outcome Variable,” Statistical Methods in Medical Research 25, no. 3 (2016): 1057–1073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Konopka A. R., Laurin J. L., Schoenberg H. M., et al., “Metformin Inhibits Mitochondrial Adaptations to Aerobic Exercise Training in Older Adults,” Aging Cell 18, no. 1 (2019): e12880. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Moreno‐Cabanas A., Morales‐Palomo F., Alvarez‐Jimenez L., Ortega J. F., and Mora‐Rodriguez R., “Effects of Chronic Metformin Treatment on Training Adaptations in Men and Women With Hyperglycemia: A Prospective Study,” Obesity 30, no. 6 (2022): 1219–1230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Mahalati K. and Kahan B. D., “Clinical Pharmacokinetics of Sirolimus,” Clinical Pharmacokinetics 40, no. 8 (2001): 573–585. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data S1: Supporting information.
