Abstract
Aging in mammals, including humans, is accompanied by loss of bone and muscular function and mass, characterized by osteoporosis and sarcopenia. Although resistance exercise training (RET) is considered an effective intervention, its effect is blunted in some elderly individuals. Fibroblast growth factor (FGF) and its receptor, FGFR, can modulate bone and muscle quality during aging and physical performance. To elucidate this possibility, the FGFR inhibitor NVP-BGJ398 was administrated to C57BL/6n mice for 8 weeks with or without RET. Treatment with NVP-BGJ398 decreased grip strength, muscular endurance, running capacity and bone quality in the mice. FGFR inhibition elevated bone resorption and relevant gene expression, indicating altered bone formation and resorption. RET attenuated tibial bone resorption, accompanied by changes in the expression of relevant genes. However, RET did not overcome the detrimental effect of NVP-BGJ398 on muscular function. Taken together, these findings provide evidence that FGFR signaling may have a potential role in the maintenance of physical performance and quality of bone and muscles.
Keywords: Atrophy, Bone density, Exercise training, Fibroblast growth factor receptor, Muscle
INTRODUCTION
The ability to maintain bone and skeletal muscle quality is important for leading a long, healthy life. Bone and muscle mass and function are well-known predictors of health outcomes, such as the risk bone of fracture, osteoporosis, sarcopenia, and other muscular dystrophic diseases [1-4]. Of many musculoskeletal dysfunctions, sarcopenia, the aging-related loss of muscular strength and mass is well known and is correlated with loss of bone density [5]. Osteoporosis is characterized by an excessive loss of bone density [6]. Aging-related decreases in muscle and bone mass are accompanied by altered cellular conditions and increased inflammatory conditions [7-9]. Sarcopenia and osteoporosis share physical [10] and biochemical pathophysiological mechanisms [11].
Resistance exercise training (RET) is an effective measure to counter the functional loss of bone and muscle during aging [12]. However, previous studies have demonstrated that some individuals show blunted gain from training adaptation in terms of muscle mass and strength [13], and prevention of bone loss [14,15].
Fibroblast growth factor (FGF) and its receptor, FGFR, can modulate muscle and bone quality because FGF2 has the potential to enhance bone formation via osteoblast-related mechanisms [16,17]. Stimulation with FGFR activates PLCγ/PKCα/Runx2 signaling cascades and promotes osteoblast differentiation [17]. Bone cells secrete signaling molecules such as FGF23 and osteocalcin, which are speculated to act on skeletal muscle to modulate physical performance [18,19]. Previous studies have shown decreased expression of FGF and FGFR signaling with aging [20-23]. Genetic knockdown of FGF-23 showed an aging-like phenotype [24] and the enhancement of FGFR signaling via FGF21 overexpression in a transgenic model increased the lifespan [25]. Despite evidence showing the importance of FGFR signaling in bone and muscle quality with aging, its role in physical performance and RET adaptation related to bone and skeletal muscle still remain unclear.
Therefore, our aim in this study was to investigate the role of FGFR signaling in physical performance using an FGFR antagonist NVP-BGJ398. Furthermore, we evaluated the role of FGFR signaling during 8 weeks of RET and demonstrated that inhibition of this signaling reduced muscle and bone quality, leading to decreased physical performance in mice, which was partly overcome by the 8 weeks of RET.
METHODS
Animal
C57BL/6n mice (male, 8–9 weeks old) were purchased from Orient Bio Inc. (Stock name: C57BL/6NCrljBgi; Orient Bio Inc., Seongnam, Korea), and were managed under the principles established by the college of veterinary medicine animal laboratory in Seoul National University (SNU). The mice were kept at 22°C, 40%–50% humidity and on a 12:12-h light-dark cycle, fed with Rodent chow 5057 (Purina Korea, Seoul, Korea). The food intake was recorded in consequence day. All experimental methods were approved by the SNU Institutional Animal Care and Use Committees. The certification number was SNU-150820-4-6.
The animals were randomly assigned to each of the following groups: inhibition control group (Inh) and sham control group (Sham). At least 6–7 mice were conducted with experiment for each group. FGFR inhibitor NVP-BGJ398 (50 mg/kg body weight; Novartis, Basel, Switzerland) or sham (PEG-300/Glucose 5%, 2:1 mix) were administered by oral gavage as previously described [26]. The treatment was conducted three times per week, throughout the 8 weeks of experimental period.
Exercise apparatus and protocol
Duncan et al. [27]’s ladder training apparatus was adopted in this study for rodent resistance exercise training. Our protocol consists of 8 weeks, 10 sessions a day, and 3 days per week. Before the beginning of exercise training period, 1 week of adaptation was conducted without weight to become familiar with the climbing ladder (1 m, 1 cm grid, 80-degree incline). Initial load of 50% of body weight was applied to every individual and added 3 g per every successive session. Next exercise trainings were started with 50%–75% of maximal weight lifted from the previous exercise.
The only encouragement was a gentle finger tapping on the animal’s tail. When the rodents reached the top of the ladder, they were allowed to rest for 1–2 min. After the rest period, additional 3 g was added on the previous weight, and the rodents were returned to the bottom of the ladder for the next session. If any mice were not able to climb with the attached load, one additional minute was given for further rest then placed at the bottom of ladder. This procedure was repeated until ten climbs were achieved. Every initial load was set at 50% of the maximal weight lifted of previous exercise training.
Grip strength test
Grip strength test was measured to illustrate the maximal force of grasping object and it is known to represent the strength of an individual. Animals were allowed to grasp a grid which is attached to the force gauge and pulled until they became completely detached from the grid. The force was recorded for three times with at least two minutes of rest between every trial of measurement. Only maximum force record was taken for the further analysis. The grip strength was measured with a grip strength meter (Model GS3; Bioseb, Chaville, France), and measurement method was adopted and modified from the one which was reported previously [28]. The grip strength was measured weekly, after 24–48 h of the last exercise trial of the week. The animal grasped the steel grid with its four-limb, then its tail was gently pulled with the experimenter’s fingers. Maximum force (g) was measured and recorded on the instrument.
Muscular endurance capacity test
Hanging time was measured to represent the muscular endurance capacity of a mouse. Animals were allowed to familiarize to the grid at least 1 min prior to the actual test. Every rodent conducted three trials and the maximum time was taken. Animal was placed on the 20 × 30 cm grid with 10 g weight attached on tail, and flipped over to measure the time until mouse falls. When the mouse fell within 10 sec, the animal was rested sufficiently and retested afterward. This was conducted 48 h after last intervention of 8th week of training.
Aerobic endurance capacity test
Treadmill exhaustion test was performed to test endurance capacity of animal. Rodents were forced to run until complete exhaustion and time was measured for further analysis. For the analysis, Exer. 3/6 treadmill (Columbus Instruments, Columbus, OH, USA) was used and no incline was applied throughout the test. Mice were stimulated at the tail or posterior part of the body when they were reluctant to run. Mice were indicated to run for 5 min with 5 m/min and thereafter speed was increased by 1 m/min every minute until exhaustion. Exhaustion was defined when mice were unable to run although mice were continuously stimulated more than 15 sec.
RNA isolation and Real Time-PCR
Total RNA from mouse tissues and organ was extracted by using an RNA purification system (Introgen) following the manufacturer’s protocol. mRNA was reverse-transcribed using AccuPower CycleScript RT PreMix (Bioneer, Daejeon, Korea) and RT-PCR was performed using SYBR Green and an ABI StepOne Real Time PCR instrument (Applied Biosystems, Cheshire, UK). Target gene expression was normalized with the control gene (Gapdh), and relative expression was quantified by the comparative Ct method ∆∆Ct. The primer used for PCR are listed in Table 1.
Table 1.
Gene | Forward primer (5’-3’) | Reverse primer (3’-5’) |
---|---|---|
Gapdh | AGGTCGGTGTGAACGGATTTG | TGTAGACCATGTAGTTGAGGTCA |
Atrogin1 | AGTGAGGACCGGCTACTGTG | GATCAAACGCTTGCGAATCT |
Murf1 | CCTGCAGAGTGACCAAGGA | GGCGTAGAGGGTGTCAAACT |
FOXO1 | GTGAACACCAATGCCTCACAC | CACAGTCCAAGCGCTCAATA |
Ocn | CTGACAAAGCCTTCATGTCCAA | GCGCCGGAGTCTGTTCACTA |
Runx2 | TTCTCCAACCCACGAATGCAC | CAGGTACGTGTGGTAGTGAGT |
Alp | CCAACTCTTTTGTGCCAGAGA | GGCTACATTGGTGTTGAGCTTTT |
Opg | ACCCAGAAACTGGTCATCAGC | CTGCAATACACACACTCATCACT |
Rankl | CAGCATCGCTCTGTTCCTGTA | CTGCGTTTTCATGGAGTCTCA |
Body composition analysis
Body composition was measured with Minispec live mice TD NMR analyzer (Bruker LF50, Ettlingen, Germany) [29]. This was conducted without anesthetics, and live mice were placed into cylindrical tube and inserted to scan for less than two minutes. After the scan procedure, mice were anesthetized with isoflurane gas inhalation for sample collection.
MicroCT and PetCT analysis
Bone quality was measured with in vivo NaF18-PET/CT (Positron Emission Tomography/Computed Tomography) by NanoPET/CT in vivo pre-clinical imager (Mediso, Budapest, Hungary). All procedures were conducted under supervision of the department of nuclear medicine in Seoul National University Bundang Hospital. All mice were anesthetized during scanning procedure with isoflurane gas inhalation.
Statistical analysis
Data organization and statistical analysis were performed using Microsoft Excel (Microsoft, Redmond, WA, USA) and SPSS 23.0 software (IBM Co., Armonk, NY, USA). All data were represented as mean ± SEM. Significant differences between two groups were determined using two-tailed Student’s t-test. p-values lower than 0.05 were considered they were significantly difference.
RESULTS
Effect of FGFR inhibitor on physical performance
Oral administration of the FGFR inhibitor NVP-BGJ398 (50 mg/kg/day) for 8 weeks did not induce significant differences in body weight (b.w.) between the vehicle-treated sham and inhibitor-treated (Inh) groups (Fig. 1A). Nevertheless, there was a tendency of a lower ∆b.w. in the Inh group than in the sham group (3.7 ± 0.45 g vs. 4.8 ± 0.36 g, n = 7 per group, p = 0.09, Fig. 1B). In addition, the analysis of body composition by using Minispec live mice TD NMR showed that the Inh group had lower percentages of lean body mass that those of the sham group (54.9 ± 0.94% vs. 60.0 ± 0.71%, respectively, p < 0.01, Fig. 1C) as well as reduced percentages of fat mass (7.2 ± 0.64% vs. 11.1 ± 0.94%, respectively, p < 0.01, Fig. 1D).
To elaborate on the effects of FGFR inhibition on physical performance in the mice, we conducted grip strength, hang time, and exhaustion tests 48 h after the final treatment with either NVP-BGJ398 or vehicle control. Decreased grip strength was demonstrated in the Inh mice compared to that in the sham group (172.9 ± 5.34 g vs. 204.3 ± 2.42 g, respectively, p < 0.01, Fig. 1E). Similar decreases were observed in the hang test (55.6 ± 19.87 sec vs. 152.8 ± 38.64 sec, respectively, p < 0.05, Fig. 1F) as well as in the exhaustion test (747.9 ± 29.90 sec vs. 967.1 ± 23.42 sec, respectively, p < 0.01, Fig. 1G).
Effects of FGFR inhibitor on bone density and metabolism
Since a close relationship exists between changes in grip strength and bone density [30,31], we further examined bone density and metabolic activity to understand the decrease in physical performance during FGFR signaling inhibition. The micro/PET CT in vivo scan analysis revealed decreased bone density in the Inh group compared to that in the sham group (Fig. 2A, left), which was quantified and summarized in Hounsfield unit (HU) (861.2 ± 50.82 HU vs. 1,124.9 ± 57.94 HU, respectively, p < 0.05, Fig. 2A, right). Additionally, the Inh group exhibited and increase in bone metabolism. The standardized uptake values (SUV) from the PET/CT imaging showed that the Inh mice exhibited increased bone metabolism compared to that in the sham group (2.0 ± 0.15 g/ml vs. 1.5 ± 0.14 g/ml, respectively, p < 0.05, Fig. 2B).
To explain the attenuated bone quality from micro-CT and NaF18-PET/CT scan data, we examined the expression of genes related to bone formation and resorption. The Osteocalcin (Ocn), and alkaline phosphatase (Alp) level increased significantly in the Inh mice compared to those in the sham group (Fig. 2C). Rankl, a well-known osteoclastogenic marker, was markedly increased, while osteoprotegerin (Opg) expression was slightly decreased in the Inh group (Fig. 2C). These changes resulted in an increased Rankl-to-Opg ratio, suggesting upregulated osteoclastic activity in the tibial bone.
Effect of FGFR Inhibitor (NVP-BGJ398) on hindlimb skeletal muscle mass and atrophy markers
Limb skeletal muscle mass is a major factor that contributes to physical performance. The weights of the soleus, gastrocnemius, tibialis anterior and extensor digitorum longus were normalized to b.w. and compared between the sham and Inh groups. However, the summarized results did not show any differences between the two groups (Fig. 3A). To assess the muscle quality, grip strength was adjusted based on the total mass of lower limb skeletal muscle. There was clear decrease in muscle quality with FGFR inhibition (Fig. 3B).
To assess the changes in muscle quality, we analyzed muscle mRNA expression using RT-qPCR. Gene expression levels of the gastrocnemius muscle were normalized to Gapdh. Atrogin1 expression levels were elevated in the Inh group. The remaining marker genes tested did not differ between the two groups (Fig. 3C).
Effects of RET on the reduced physical performance by FGFR inhibition
As expected, RET increased grip strength, adjusted the muscle wet weight of the hind limb, and hanging time in the sham mice (Supplementary Fig. 1). We. then investigated the effects of RET on growth over 8 weeks and physical performance in the Inh mice. Growth, that is, the tendency of b.w. gain, did not show any significant differences between the RET-combined sham and Inh groups. However, the body composition analysis revealed that the extent of decreased lean body mass and body fat percentages were attenuated with RET intervention; there was no significant difference in the two parameters between the two groups (Fig. 4C, D).
Contrary to the beneficial effect of RET on the physical performance of normal mice, the lower performance in the Inh group could not recover to the level of the sham group after 8 weeks of RET (Fig. 4E–G).
RET ameliorated increased bone resorption by FGFR inhibition
To investigate the effects of RET on reduced bone quality by FGFR inhibition, micro-CT and NaF18-PET/CT scan analyses were conducted 48 h after the final intervention. Eight weeks of RET failed to restore the decreased bone mineral density (Fig. 5A), however, the bone turnover rate was rescued, as the averaged SUV did not differ between the sham and Inh groups combined with RET (sham + RET and Inh + RET, respectively, Fig. 5B). We further examined changes in gene expression related to bone formation and resorption. Consistent with the findings from the comparable bone metabolism between the sham + RET and Inh + RET groups (Fig. 5B), there was no difference in gene expression levels of Ocn and Alp between these two groups (Fig. 5C). Furthermore, the osteoclastogenic makers Opg and Rankl showed similar expression between Sham + RET and Inh + RET mice (Fig. 5D).
RET attenuated atrophy markers but failed to recover muscle quality
Similar to the findings of FGFR inhibition during normal growth, FGFR inhibition did not alter the changes in the lower limb skeletal muscle groups (Fig. 6A). Although the mRNA levels of atrophy markers were similar between the sham + RET and Inh + RET groups (Fig. 6C), this did not result in an improvement in muscle quality (Fig. 6B).
DISCUSSION
Our findings with the FGFR inhibitor NVP-BGJ398 in mice were characterized by reduced muscle strength and bone quality, while the mass of limb muscle was not affected. Decreased bone density is accompanied by reduced bone metabolism and decreased expression of osteogenic/osteoclastogenic genes. When the osteogenic process is increased, the gene expression ratio Rank:Opg in the tibia bone [32] represents the osteoclastogenic activity. Eight weeks of RET combined with NVP-BGJ398 (Inh + RET) failed to recover muscle strength and bone density in the mice, whereas no differences were observed in the bone metabolism rate and relevant genetic expression compared to sham + RET mice (Fig. 7).
Effects of FGFR inhibition with or without RET on b.w. and composition
Although statistically insignificant, the b.w. at week 8 of the experimental protocol was lower in the Inh group than that in the Sham group (p = 0.09). In addition, the comparison of body composition normalized to the b.w. (% lean body mass and % body fat) showed significantly lower values in the Inh group than in the sham group (Fig. 1C, D). Interestingly, the parameters of body composition in the Inh + RET group were not different from those in the sham + RET group (Fig. 4C, D). Taken together, RET was effective in the maintenance and recovery of body composition and bone metabolism under chronic inhibition of FGFR signaling, whereas functional impairment of muscle endurance could not be prevented.
Interestingly, changes in atrophy-related genes were observed in the muscle. Increased atrophic marker genes are associated with loss of muscle mass, strength, and function [33-35]. Although the limb muscle weights were not decreased in the Inh group, the Atrogin1 levels were higher, which were similar to the levels in the sham + RET group (Figs. 3C and 6C). Since other relevant genes (Murf1 and Foxo1) were not changed by NVP-BGJ398 treatment, the sole change in Atrogin1 may imply a closer association with FGFR signaling than other genes relevant to the skeletal muscle. Although our data revealed an increase in Atrogin1expression, it did not provide a sufficient explanation of the decreased muscular endurance. Further mechanistic studies are required to understand the Atrogin1 selective change caused by NVP-BGJ398.
The 8 weeks of RET was effective in improving lower limb muscle mass and function (Supplementary Fig. 1). However, the Inh + RET group did not show recovery of grip strength and hang time when compared with the Inh group (Fig. 4E–G). In some previous studies with aged individuals, RET effects were blunted, and this phenomenon was explained by either decreased ribosomal biogenesis or long-term depression of muscle protein synthesis due to impairment in growth factor responses [36,37]. It was reported that a longer period (12 weeks) of RET showed significantly greater muscle quality in young individuals than in those who were older [13], and a similar observation was also found when training was conducted with older human groups (> 70 years) [38]. In addition, RET-induced hypertrophy of the plantaris muscle was less prominent in old mice than in young mice, and a microarray study showed relevant changes of ELF2 and mTOR signaling [36]. This evidence may partially explain the effects of blunted RET adaptation on muscle quality. However, to provide a proper explanation of skeletal muscle function, other factors (neuromuscular adaptation, muscular metabolism, and environmental condition) should be considered, which were not in the present study.
Effects of FGFR inhibition with or without RET on bone density and metabolism
Notably, the decreased bone density due to FGFR inhibition was maintained, whereas the increased bone resorption was restored by RET (Fig. 5A, B). Previous reports have shown that b.w. and muscle strength are not always correlated with each other, whereas bone mineral density and muscle strength are highly correlated [39,40]. The present study also showed a decrease in grip strength and bone loss with upregulated osteoclastogenic genes in the Inh group (Fig. 3). However, the beneficial effects of RET in the Inh group were limited to bone metabolism without the recovery of muscle strength.
FGFR signaling is important for bone formation, and inhibition of FGFR can lead to growth retardation [41]. When FGFR1 and FGFR2 are conditionally mutated or knocked out, humans and mice exhibited skeletal growth abnormality [42,43]. Furthermore, FGF2 knockout mice demonstrated neuronal defect, reduced blood pressure, and other abnormal phenotypes [44]. FGF/FGFR signaling has been reported to control osteoblast activity by enhancing ERK1/2 signaling [45]. Therefore, it is not surprising that the pharmacological inhibition of FGFR affects bone density. However, the unaltered limb muscle weight and negligible effect on total b.w. were unexpected findings. We cautiously interpret these results to suggest that the amount and duration of NVP-BGJ398 treatment may have been insufficient for the full in vivo effects in mice.
Increased bone turnover due to RET has been reported [46]. Mechanostat theory states mechanical loading transmits stimuli to osteoblasts and osteoclasts, which are involves in bone formation and resorption [47-49]. Furthermore, recent evidence suggests that not only does mechanical stress acts on bone formation, but also that some myokines can be effective in enhancing bone quality [50]. Skeletal muscle secretes various growth factors including insulin-like growth factor 1 (IGF-1), FGF2 and FGF21. IGF-1 and FGF2 enhance bone formation via elevating osteoblast proliferation [51,52]. Moderate intensity resistance exercises for 12 weeks altered bone metabolism in a favorable manner, while no significant differences were observed in total and regional bone mineral density [53]. The current study showed that elevated Rankl:Opg in FGFR inhibition (Fig. 3D) was returned to normal levels (Fig. 5D) after 8 weeks of RET, while bone density still remained low, suggesting putatively insufficient duration of RET for the full beneficial effects on the quality of bone under FGFR inhibition.
In conclusion, our data revealed a potential role for FGFR signaling in physical performance related to muscle and bone function. Physical performance is important for quality of life and declines during aging process. Thus, the decrease in FGFR signaling may be related to the aging-dependent loss of physical performance. Furthermore, RET adaptation could be blunted by FGFR signaling inhibition, which may partially explain training adaptation during aging process. However, further analysis is required to clarify this relationship. As NVP-BGJ398 is not a specific inhibitor for certain FGFRs, and the presence of FGFR and FGF families is ubiquitous in whole organs in the body, specific knockout model may be required to test whether local inhibition changes whole body physiology.
SUPPLEMENTARY MATERIALS
Supplementary data including one figure can be found with this article online at https://doi.org/10.4196/kjpp.2022.26.3.207.
ACKNOWLEDGEMENTS
None.
Footnotes
FUNDING
This work was supported by the National Research Foundation of Korea funded by the Ministry of Science, ICT, and Future Planning (NRF-2013M3A9B6046417, NRF-2021R1A2C2007243, Korea Mouse Phenotyping Project NRF-2013M3A9D5072550, 2013M3A9D5072560 and MEST 2011-030135), and by the Ministry of Education (NRF-2014R1A1A2058645).
CONFLICTS OF INTEREST
The authors declare no conflicts of interest.
REFERENCES
- 1.Albrand G, Munoz F, Sornay-Rendu E, DuBoeuf F, Delmas PD. Independent predictors of all osteoporosis-related fractures in healthy postmenopausal women: the OFELY study. Bone. 2003;32:78–85. doi: 10.1016/S8756-3282(02)00919-5. [DOI] [PubMed] [Google Scholar]
- 2.Stenholm S, Harris TB, Rantanen T, Visser M, Kritchevsky SB, Ferrucci L. Sarcopenic obesity: definition, cause and consequences. Curr Opin Clin Nutr Metab Care. 2008;11:693–700. doi: 10.1097/MCO.0b013e328312c37d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Hairi NN, Cumming RG, Naganathan V, Handelsman DJ, Le Couteur DG, Creasey H, Waite LM, Seibel MJ, Sambrook PN. Loss of muscle strength, mass (sarcopenia), and quality (specific force) and its relationship with functional limitation and physical disability: the Concord Health and Ageing in Men Project. J Am Geriatr Soc. 2010;58:2055–2062. doi: 10.1111/j.1532-5415.2010.03145.x. [DOI] [PubMed] [Google Scholar]
- 4.van den Berg LE, Zandbergen AA, van Capelle CI, de Vries JM, Hop WC, van den Hout JM, Reuser AJ, Zillikens MC, van der Ploeg AT. Low bone mass in Pompe disease: muscular strength as a predictor of bone mineral density. Bone. 2010;47:643–649. doi: 10.1016/j.bone.2010.06.021. [DOI] [PubMed] [Google Scholar]
- 5.Hirschfeld HP, Kinsella R, Duque G. Osteosarcopenia: where bone, muscle, and fat collide. Osteoporos Int. 2017;28:2781–2790. doi: 10.1007/s00198-017-4151-8. [DOI] [PubMed] [Google Scholar]
- 6.Kanis J On behalf of the World Health Organization Scientific Group, author. Assessment of osteoporosis at the primary health-care level. Technical report. World Health Organization Collaborating Centre for Metabolic Bone Diseases, University of Sheffield; Sheffield: 2018. [DOI] [Google Scholar]
- 7.Janssen I, Heymsfield SB, Ross R. Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability. J Am Geriatr Soc. 2002;50:889–896. doi: 10.1046/j.1532-5415.2002.50216.x. [DOI] [PubMed] [Google Scholar]
- 8.Chung HY, Cesari M, Anton S, Marzetti E, Giovannini S, Seo AY, Carter C, Yu BP, Leeuwenburgh C. Molecular inflammation: underpinnings of aging and age-related diseases. Ageing Res Rev. 2009;8:18–30. doi: 10.1016/j.arr.2008.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Burr DB. Muscle strength, bone mass, and age-related bone loss. J Bone Miner Res. 1997;12:1547–1551. doi: 10.1359/jbmr.1997.12.10.1547. [DOI] [PubMed] [Google Scholar]
- 10.Isaacson J, Brotto M. Physiology of mechanotransduction: how do muscle and bone "talk" to one another? Clin Rev Bone Miner Metab. 2014;12:77–85. doi: 10.1007/s12018-013-9152-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Kawao N, Kaji H. Interactions between muscle tissues and bone metabolism. J Cell Biochem. 2015;116:687–695. doi: 10.1002/jcb.25040. [DOI] [PubMed] [Google Scholar]
- 12.Beck BR, Daly RM, Singh MA, Taaffe DR. Exercise and Sports Science Australia (ESSA) position statement on exercise prescription for the prevention and management of osteoporosis. J Sci Med Sport. 2017;20:438–445. doi: 10.1016/j.jsams.2016.10.001. [DOI] [PubMed] [Google Scholar]
- 13.Greig CA, Gray C, Rankin D, Young A, Mann V, Noble B, Atherton PJ. Blunting of adaptive responses to resistance exercise training in women over 75y. Exp Gerontol. 2011;46:884–890. doi: 10.1016/j.exger.2011.07.010. [DOI] [PubMed] [Google Scholar]
- 14.Karinkanta S, Heinonen A, Sievänen H, Uusi-Rasi K, Pasanen M, Ojala K, Fogelholm M, Kannus P. A multi-component exercise regimen to prevent functional decline and bone fragility in home-dwelling elderly women: randomized, controlled trial. Osteoporos Int. 2007;18:453–462. doi: 10.1007/s00198-006-0256-1. [DOI] [PubMed] [Google Scholar]
- 15.Javaheri B, Pitsillides AA. Aging and mechanoadaptive responsiveness of bone. Curr Osteoporos Rep. 2019;17:560–569. doi: 10.1007/s11914-019-00553-7. Erratum in: Curr Osteoporos Rep. 2020. doi: 10.1007/s11914-019-00553-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Spencer EM, Liu CC, Si EC, Howard GA. In vivo actions of insulin-like growth factor-I (IGF-I) on bone formation and resorption in rats. Bone. 1991;12:21–26. doi: 10.1016/8756-3282(91)90050-S. [DOI] [PubMed] [Google Scholar]
- 17.Marie PJ. Fibroblast growth factor signaling controlling bone formation: an update. Gene. 2012;498:1–4. doi: 10.1016/j.gene.2012.01.086. [DOI] [PubMed] [Google Scholar]
- 18.Fukumoto S, Martin TJ. Bone as an endocrine organ. Trends Endocrinol Metab. 2009;20:230–236. doi: 10.1016/j.tem.2009.02.001. [DOI] [PubMed] [Google Scholar]
- 19.Mera P, Laue K, Ferron M, Confavreux C, Wei J, Galán-Díez M, Lacampagne A, Mitchell SJ, Mattison JA, Chen Y, Bacchetta J, Szulc P, Kitsis RN, de Cabo R, Friedman RA, Torsitano C, McGraw TE, Puchowicz M, Kurland I, Karsenty G. Osteocalcin signaling in myofibers is necessary and sufficient for optimum adaptation to exercise. Cell Metab. 2016;23:1078–1092. doi: 10.1016/j.cmet.2016.05.004. Erratum in: Cell Metab. 2017;25:218. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Cowan CM, Quarto N, Warren SM, Salim A, Longaker MT. Age-related changes in the biomolecular mechanisms of calvarial osteoblast biology affect fibroblast growth factor-2 signaling and osteogenesis. J Biol Chem. 2003;278:32005–32013. doi: 10.1016/S0021-9258(20)82534-4. Erratum in: J Biol Chem. 2003;278:45040. [DOI] [PubMed] [Google Scholar]
- 21.Ou G, Charles L, Matton S, Rodner C, Hurley M, Kuhn L, Gronowicz G. Fibroblast growth factor-2 stimulates the proliferation of mesenchyme-derived progenitor cells from aging mouse and human bone. J Gerontol A Biol Sci Med Sci. 2010;65:1051–1059. doi: 10.1093/gerona/glq114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Komi-Kuramochi A, Kawano M, Oda Y, Asada M, Suzuki M, Oki J, Imamura T. Expression of fibroblast growth factors and their receptors during full-thickness skin wound healing in young and aged mice. J Endocrinol. 2005;186:273–289. doi: 10.1677/joe.1.06055. [DOI] [PubMed] [Google Scholar]
- 23.Shetty AK, Hattiangady B, Shetty GA. Stem/progenitor cell proliferation factors FGF-2, IGF-1, and VEGF exhibit early decline during the course of aging in the hippocampus: role of astrocytes. Glia. 2005;51:173–186. doi: 10.1002/glia.20187. [DOI] [PubMed] [Google Scholar]
- 24.Shimada T, Kakitani M, Yamazaki Y, Hasegawa H, Takeuchi Y, Fujita T, Fukumoto S, Tomizuka K, Yamashita T. Targeted ablation of Fgf23 demonstrates an essential physiological role of FGF23 in phosphate and vitamin D metabolism. J Clin Invest. 2004;113:561–568. doi: 10.1172/JCI200419081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zhang Y, Xie Y, Berglund ED, Coate KC, He TT, Katafuchi T, Xiao G, Potthoff MJ, Wei W, Wan Y, Yu RT, Evans RM, Kliewer SA, Mangelsdorf DJ. The starvation hormone, fibroblast growth factor-21, extends lifespan in mice. Elife. 2012;1:e00065. doi: 10.7554/eLife.00065.4b4ce4845cdd40c5b506669b2962b9ef [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Wöhrle S, Henninger C, Bonny O, Thuery A, Beluch N, Hynes NE, Guagnano V, Sellers WR, Hofmann F, Kneissel M, Graus Porta D. Pharmacological inhibition of fibroblast growth factor (FGF) receptor signaling ameliorates FGF23-mediated hypophosphatemic rickets. J Bone Miner Res. 2013;28:899–911. doi: 10.1002/jbmr.1810. [DOI] [PubMed] [Google Scholar]
- 27.Duncan ND, Williams DA, Lynch GS. Adaptations in rat skeletal muscle following long-term resistance exercise training. Eur J Appl Physiol Occup Physiol. 1998;77:372–378. doi: 10.1007/s004210050347. [DOI] [PubMed] [Google Scholar]
- 28.Meyer OA, Tilson HA, Byrd WC, Riley MT. A method for the routine assessment of fore- and hindlimb grip strength of rats and mice. Neurobehav Toxicol. 1979;1:233–236. [PubMed] [Google Scholar]
- 29.Halldorsdottir S, Carmody J, Boozer CN, Leduc CA, Leibel RL. Reproducibility and accuracy of body composition assessments in mice by dual energy x-ray absorptiometry and time domain nuclear magnetic resonance. Int J Body Compos Res. 2009;7:147–154. [PMC free article] [PubMed] [Google Scholar]
- 30.Bevier WC, Wiswell RA, Pyka G, Kozak KC, Newhall KM, Marcus R. Relationship of body composition, muscle strength, and aerobic capacity to bone mineral density in older men and women. J Bone Miner Res. 1989;4:421–432. doi: 10.1002/jbmr.5650040318. [DOI] [PubMed] [Google Scholar]
- 31.Li X, Mohan S, Gu W, Wergedal J, Baylink DJ. Quantitative assessment of forearm muscle size, forelimb grip strength, forearm bone mineral density, and forearm bone size in determining humerus breaking strength in 10 inbred strains of mice. Calcif Tissue Int. 2001;68:365–369. doi: 10.1007/s00223-001-0004-7. [DOI] [PubMed] [Google Scholar]
- 32.Baek K, Hwang HR, Park HJ, Kwon A, Qadir AS, Ko SH, Woo KM, Ryoo HM, Kim GS, Baek JH. TNF-α upregulates sclerostin expression in obese mice fed a high-fat diet. J Cell Physiol. 2014;229:640–650. doi: 10.1002/jcp.24487. [DOI] [PubMed] [Google Scholar]
- 33.Gomes MD, Lecker SH, Jagoe RT, Navon A, Goldberg AL. Atrogin-1, a muscle-specific F-box protein highly expressed during muscle atrophy. Proc Natl Acad Sci U S A. 2001;98:14440–14445. doi: 10.1073/pnas.251541198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sandri M, Sandri C, Gilbert A, Skurk C, Calabria E, Picard A, Walsh K, Schiaffino S, Lecker SH, Goldberg AL. Foxo transcription factors induce the atrophy-related ubiquitin ligase atrogin-1 and cause skeletal muscle atrophy. Cell. 2004;117:399–412. doi: 10.1016/S0092-8674(04)00400-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Clavel S, Coldefy AS, Kurkdjian E, Salles J, Margaritis I, Derijard B. Atrophy-related ubiquitin ligases, atrogin-1 and MuRF1 are up-regulated in aged rat Tibialis Anterior muscle. Mech Ageing Dev. 2006;127:794–801. doi: 10.1016/j.mad.2006.07.005. [DOI] [PubMed] [Google Scholar]
- 36.Kirby TJ, Lee JD, England JH, Chaillou T, Esser KA, McCarthy JJ. Blunted hypertrophic response in aged skeletal muscle is associated with decreased ribosome biogenesis. J Appl Physiol (1985) 2015;119:321–327. doi: 10.1152/japplphysiol.00296.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Kosek DJ, Kim JS, Petrella JK, Cross JM, Bamman MM. Efficacy of 3 days/wk resistance training on myofiber hypertrophy and myogenic mechanisms in young vs. older adults. J Appl Physiol (1985) 2006;101:531–544. doi: 10.1152/japplphysiol.01474.2005. [DOI] [PubMed] [Google Scholar]
- 38.Slivka D, Raue U, Hollon C, Minchev K, Trappe S. Single muscle fiber adaptations to resistance training in old (>80 yr) men: evidence for limited skeletal muscle plasticity. Am J Physiol Regul Integr Comp Physiol. 2008;295:R273–R280. doi: 10.1152/ajpregu.00093.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Garn SM, Leonard WR, Hawthorne VM. Three limitations of the body mass index. Am J Clin Nutr. 1986;44:996–997. doi: 10.1093/ajcn/44.6.996. [DOI] [PubMed] [Google Scholar]
- 40.Romero-Corral A, Somers VK, Sierra-Johnson J, Thomas RJ, Collazo-Clavell ML, Korinek J, Allison TG, Batsis JA, Sert-Kuniyoshi FH, Lopez-Jimenez F. Accuracy of body mass index in diagnosing obesity in the adult general population. Int J Obes (Lond) 2008;32:959–966. doi: 10.1038/ijo.2008.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Eswarakumar VP, Lax I, Schlessinger J. Cellular signaling by fibroblast growth factor receptors. Cytokine Growth Factor Rev. 2005;16:139–149. doi: 10.1016/j.cytogfr.2005.01.001. [DOI] [PubMed] [Google Scholar]
- 42.Yu K, Xu J, Liu Z, Sosic D, Shao J, Olson EN, Towler DA, Ornitz DM. Conditional inactivation of FGF receptor 2 reveals an essential role for FGF signaling in the regulation of osteoblast function and bone growth. Development. 2003;130:3063–3074. doi: 10.1242/dev.00491. [DOI] [PubMed] [Google Scholar]
- 43.White KE, Cabral JM, Davis SI, Fishburn T, Evans WE, Ichikawa S, Fields J, Yu X, Shaw NJ, McLellan NJ, McKeown C, Fitzpatrick D, Yu K, Ornitz DM, Econs MJ. Mutations that cause osteoglophonic dysplasia define novel roles for FGFR1 in bone elongation. Am J Hum Genet. 2005;76:361–367. doi: 10.1086/427956. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Dono R, Texido G, Dussel R, Ehmke H, Zeller R. Impaired cerebral cortex development and blood pressure regulation in FGF-2-deficient mice. EMBO J. 1998;17:4213–4225. doi: 10.1093/emboj/17.15.4213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Choi SC, Kim SJ, Choi JH, Park CY, Shim WJ, Lim DS. Fibroblast growth factor-2 and -4 promote the proliferation of bone marrow mesenchymal stem cells by the activation of the PI3K-Akt and ERK1/2 signaling pathways. Stem Cells Dev. 2008;17:725–736. doi: 10.1089/scd.2007.0230. [DOI] [PubMed] [Google Scholar]
- 46.Patel VS, Judex S, Rubin J, Rubin CT. Mechanisms of exercise effects on bone quantity and quality. In: Bilezikian JP, Martin TJ, Clemens TL, Rosen CJ, editors. Principles of bone biology. 4th ed. Academic Press; Cambridge: 2020. pp. 1759–1784. [DOI] [Google Scholar]
- 47.Frost HM. Bone's mechanostat: a 2003 update. Anat Rec A Discov Mol Cell Evol Biol. 2003;275:1081–1101. doi: 10.1002/ar.a.10119. [DOI] [PubMed] [Google Scholar]
- 48.Klein-Nulend J, Bakker AD, Bacabac RG, Vatsa A, Weinbaum S. Mechanosensation and transduction in osteocytes. Bone. 2013;54:182–190. doi: 10.1016/j.bone.2012.10.013. [DOI] [PubMed] [Google Scholar]
- 49.Galea GL, Lanyon LE, Price JS. Sclerostin's role in bone's adaptive response to mechanical loading. Bone. 2017;96:38–44. doi: 10.1016/j.bone.2016.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Kirk B, Feehan J, Lombardi G, Duque G. Muscle, bone, and fat crosstalk: the biological role of myokines, osteokines, and adipokines. Curr Osteoporos Rep. 2020;18:388–400. doi: 10.1007/s11914-020-00599-y. [DOI] [PubMed] [Google Scholar]
- 51.DiGirolamo DJ, Mukherjee A, Fulzele K, Gan Y, Cao X, Frank SJ, Clemens TL. Mode of growth hormone action in osteoblasts. J Biol Chem. 2007;282:31666–31674. doi: 10.1074/jbc.M705219200. [DOI] [PubMed] [Google Scholar]
- 52.Steringer JP, Müller HM, Nickel W. Unconventional secretion of fibroblast growth factor 2--a novel type of protein translocation across membranes? J Mol Biol. 2015;427(6 Pt A):1202–1210. doi: 10.1016/j.jmb.2014.07.012. [DOI] [PubMed] [Google Scholar]
- 53.Fujimura R, Ashizawa N, Watanabe M, Mukai N, Amagai H, Fukubayashi T, Hayashi K, Tokuyama K, Suzuki M. Effect of resistance exercise training on bone formation and resorption in young male subjects assessed by biomarkers of bone metabolism. J Bone Miner Res. 1997;12:656–662. doi: 10.1359/jbmr.1997.12.4.656. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.