Keywords: fatty infiltrations, fibro-adipogenic progenitors (FAPs), intermuscular adipose tissue (IMAT), muscle architecture, skeletal muscle deconditioning
Abstract
Chemotherapy is a common therapy to treat patients with breast cancer but also leads to skeletal muscle deconditioning. Skeletal muscle deconditioning is multifactorial and intermuscular adipose tissue (IMAT) accumulation is closely linked to muscle dysfunction. To date, there is no clinical study available investigating IMAT development through a longitudinal protocol and the underlying mechanisms remain unknown. Our study was dedicated to investigating IMAT content in patients with early breast cancer who were treated with chemotherapy and exploring the subsequent cellular mechanisms involved in its development. We included 13 women undergoing chemotherapy. Muscle biopsies and ultrasonography assessment were performed before and after chemotherapy completion. Histological and Western blotting analyses were conducted. We found a substantial increase in protein levels of three mature adipocyte markers (perilipin, +901%; adiponectin, +135%; FABP4, +321%; P < 0.05). These results were supported by an increase in oil red O-positive staining (+358%; P < 0.05). A substantial increase in PDGFRα protein levels was observed (+476%; P < 0.05) highlighting an increase in fibro-adipogenic progenitors (FAPs) content. The cross-sectional area of the vastus lateralis muscle fibers substantially decreased (−21%; P < 0.01), and muscle architecture was altered, as shown by a decrease in fascicle length (−15%; P < 0.05) and a decreasing trend in muscle thickness (−8%; P = 0.08). We demonstrated both IMAT development and muscle atrophy in patients with breast cancer who were treated with chemotherapy. FAPs, critical stem cells inducing both IMAT development and skeletal muscle atrophy, also increased, suggesting that FAPs likely play a critical role in the skeletal muscle deconditioning observed in patients with breast cancer who were treated with chemotherapy.
INTRODUCTION
Chemotherapy is a common therapy to treat patients with early breast cancer that leads to severe off-target side effects that profoundly affect the patients’ quality of life and treatment tolerance. Among these side effects, skeletal muscle deconditioning is a significant adverse event in patients with breast cancer treated by chemotherapy and is characterized by a substantial decrease in muscle mass and force, ultimately leading to reduced exercise tolerance (1). If structural alterations such as a decrease in myofiber cross-sectional area (CSA) play a critical role in muscle atrophy, impairment in muscle quality drastically affects exercise tolerance (1, 2). In a previous study (3), we documented severe mitochondrial alterations in patients with breast cancer that may explain the decrease in cardiorespiratory fitness (4). Nevertheless, other factors should be studied, such as intermuscular adipose tissue (IMAT) development (1, 2, 5).
IMAT is characterized by the presence of adipocytes between muscle fibers and groups (2). An exacerbated accumulation is considered as a characteristic of skeletal muscle deconditioning, leading to a decrease in muscle force and exercise tolerance (2, 5, 6). Interestingly, a preclinical study reported that even if IMAT accumulation occurs concomitantly with muscle atrophy, it has an independent impact on muscle contraction (7). To date, two cross-sectional studies compared patients with breast cancer to healthy subjects and showed, through magnetic resonance imagery, an increase in thigh IMAT content. In a recent study conducted in patients with breast cancer, it was concluded that IMAT was a significant prognostic factor of survival outcomes, highlighting the importance of IMAT development in patients’ health evolution (8).
As reported in our recent review (1), we did not find any study exploring the cellular mechanisms involved in IMAT development in breast cancer. Previous studies in muscle disuse or pathological conditions consensually identified that fibro-adipogenic progenitors (FAPs) could differentiate into adipose and fibrotic tissue (9–11). FAPs represent a population of muscle-specific mesenchymal stem cells located in the interstitial space of muscle fibers (12). They are the primary cells expressing the cell surface receptor PDGFRα and trigger the development of IMAT (2, 13). In the context of patients with cancer, only one study reported that patients with cachectic pancreatic cancer displayed an increase in FAP content with exacerbated fibrotic tissue and lipids deposits (14).
To date, although patients with breast cancer experience increased IMAT content compared with healthy subjects (15, 16), there is no study investigating IMAT content through a longitudinal clinical study protocol. The underlying mechanisms remain unknown, and a more comprehensive understanding of the cellular processes is needed. Thus, our study was dedicated to investigating IMAT content in patients with early breast cancer who were treated with chemotherapy and exploring the subsequent cellular mechanisms involved in its development.
MATERIAL AND METHODS
Participants and Study Design
As fully described previously (3), 13 patients (56 ± 12 yr; 76 ± 15 kg) from the Institut de Cancérologie Strasbourg Europe (ICANS) were included in this study (NCT04638712). The eligibility criteria included nonpregnant women at least 18 yr old with early breast cancer treated with chemotherapy including an epirubicin-cyclophosphamide regimen followed by weekly paclitaxel. All patients provided written informed consent before enrollment, and the study was conducted in accordance with the Declaration of Helsinki and the ethics approval received from the national ethics committee (Registration Number 2020-A01266-33). Two visits were performed: before the first chemotherapy (CT) administration (pre-CT) and within 1 wk after the last CT administration (post-CT).
Skeletal Muscle Biopsies
Skeletal muscle biopsies were obtained pre- and post-CT from the left vastus lateralis muscle using a 5-mm Bergström biopsy needle under local anesthesia (3). Tissue for histological analyses was embedded in small silicone casts filled with a cryoprotectant agent (OCT, Sakura, Finetek), immediately cooled in 2-methylbutane immersed in liquid nitrogen and stored at −80°C. Muscle tissue for Western blotting analysis was immediately frozen in liquid nitrogen and stored at −80°C.
Cryosectioning and Histological Analyses
Transverse serial cross sections (7 μm) were obtained using a cryostat maintained at −20°C. Sections were then blocked (1× PBS/5% normal serum/0.3% Triton X-100), and laminin primary antibody (Thermo Fisher Scientific, MA1-06100, 1:100) was diluted in dilution buffer (1× PBS/1% BSA/0.3% Triton X-100) and incubated overnight at 4°C. Three washes with PBS were performed before applying secondary antibody (Abcam, ab175476, 1:1,000) at room temperature for 1 h, and ProLong diamond antifade mountant was used (Thermo Fisher Scientific, 36961). Stained slides were digitalized with the Zeiss Apotome.2 microscope with a ×20 objective (Hamamatsu), and myofiber CSA was semiautomatically quantified using SMASH application on MATLAB software (v. R2021b) (17). In addition, we investigated the lipid content through oil red O staining. Only lipids outside muscle fibers were quantified (MATLAB software v. R2021b) to exclude myocellular triglyceride content and then reflect IMAT deposits. Finally, collagen area was investigated through modified Masson’s trichrome staining (18) and quantified with MATLAB software (v. R2021b).
Western Blotting and Antibodies
Procedures of Western blotting were fully described previously (3). Primary antibodies from Cell Signaling were used: anti-adiponectin (No. 2789, 1:500), anti-C/EBPα (No. 8178S, 1:1,000), anti-PDGFRα (No. 3174S, 1:1,000), anti-perilipin (No. 9349S, 1:1,000); from Thermo Fisher Scientific: anti-collagen I (PA5-95137, 1:1,000), anti-FAPB4 (No. 710189; 1:500), anti-fibronectin (PA5-29578, 1:1,000); and from Santa Cruz: anti-PPARγ (Sc-150, 1:200). Anti-rabbit (Cell Signaling, 1:4,000, No. 7074S) or anti-mouse (Cell Signaling, 1:4,000, No. 7076S) were used as secondary antibodies and protein ladder from Thermo Fisher Scientific was used (26620). Proteins were visualized by enhanced chemiluminescence (iBright 1500 Imaging System, Invitrogen) and quantified with ImageJ Software (v.1.8.0). Ponceau coloration was used as the loading control.
Ultrasonography
The muscle architecture of the right vastus lateralis muscle was investigated using an ultrasound scanner (Toshiba Aplio XV; Toshiba Medical Systems, Tochigi, Japan) with a 58-mm linear probe (PLT-805AT 8.0-MHz). Patients were lying down, and their knees were extended and relaxed. A water-soluble transmission gel was applied to the scanning head of the probe, placed perpendicular to the skin and longitudinally at 62.5% between the anterior superior iliac spine and the lateral condyle of the femur. Muscle thickness and fascicle length (through extrapolation of the visible part of the fascicle) were calculated as previously described (19). Echogenicity was used as an indirect reflection of muscle quality and IMAT content (20) and was determined based on the grayscale analysis of each pixel contained in three squares with similar length. Five different images were analyzed by two independent investigators using ImageJ software (v.1.8.0) and the mean was calculated and used for statistical analyses.
Sample Size Calculation and Statistical Analysis
As described previously (3), we conducted a sample size calculation and enrolled 13 patients. The Shapiro–Wilk test was used to test the normality of the data. Appropriate parametric or nonparametric analyses were then performed (t test or Wilcoxon tests, respectively) to compare pre- and post-CT variables. Statistical significance was set at P < 0.05, and all values are expressed as the means ± standard deviation (SD). Statistical analyses and graphs were made with GraphPad Prism 8 software.
RESULTS
The data collected in this study were part of the same experimental protocol as Mallard et al. (3). There is no overlap in the data presented apart from patient characteristics.
Patient Characteristics
We found no variation between the pre- and post-CT measurements for body weight (76 ± 15 kg vs. 75 ± 14 kg; P = 0.7). Two patients were unwilling to undergo the second muscle biopsy, and one patient declined the second ultrasonography procedure, resulting in n = 11 for muscle biopsy analyses and n = 12 for muscle architecture analyses.
IMAT, Adipogenesis, and Fibro-Adipogenic Progenitor Content
We found a substantial increase in mature adipocyte markers post-CT, reaching +901% for perilipin protein levels (P < 0.05; Fig. 1A), +135% for adiponectin protein levels (P < 0.05; Fig. 1B), and +321% for FAPB4 protein levels (P < 0.05; Fig. 1C). These results were supported by an increase in oil red O-positive staining quantified only between the muscle fibers (+358%; P < 0.05, Fig. 1D). Altogether, these results highlighted an increase in IMAT content. We therefore investigated late adipogenic transcription factors, and despite no change in PPARγ protein levels (P = 0.6; Fig. 2A), an increase in C/EBPα protein levels was found (+114%; P < 0.05; Fig. 2B). Finally, a substantial increase in PDGFRα protein levels was observed post-CT, reaching +476% (P < 0.05; Fig. 2C) and highlighting an increase in FAP content following CT.
Fibrosis Markers Expression
Considering that FAPs are also able to differentiate into fibrotic tissue, we investigated key fibrosis markers. We did not report any changes in fibronectin protein levels (P = 0.6; Fig. 3A) or collagen I protein levels (P = 0.5; Fig. 3B). These results were further supported by the absence of change in collagen area (P = 0.5; Fig. 3C).
Muscle Atrophy, Architecture, and Echogenicity
The CSA of the vastus lateralis muscle fibers substantially decreased post-CT (3,830 ± 648 µm2 vs. 3,031 ± 508 µm2; −21%; P < 0.01; Fig. 4A), showing muscle atrophy. Muscle architecture was also altered after CT treatment, as shown by a decrease in fascicle length (6.57 ± 0.62 vs. 5.61 ± 0.42 cm; −15%; P < 0.05; Fig. 4B) and a decreasing trend in muscle thickness (1.85 ± 0.15 vs. 1.71 ± 0.35 cm; −8%; P = 0.08; Fig. 4C). Echogenicity was not affected, suggesting no change in muscle quality over time (P = 0.14; Fig. 4D).
DISCUSSION
This longitudinal clinical study aimed to investigate IMAT content in patients with early breast cancer who were treated with chemotherapy (CT) and explore the subsequent cellular mechanisms. We concomitantly reported a skeletal muscle atrophy and an increase in IMAT content, probably as a consequence of FAP accumulation, as evidenced by the increase in PDGFRα protein levels. Importantly, our study design does not allow us to dissociate the specific effect of the cancer or the chemotherapy treatment, and the development of both skeletal muscle IMAT and atrophy may be the consequence of a delicate combination of physiological stressors, including the disease and its treatment.
Increase in Vastus Lateralis IMAT Content following Chemotherapy
We showed an increase in IMAT content, as evidenced by a substantial increase in protein levels of key mature adipocyte markers, such as perilipin, adiponectin, and FABP4 (5, 13). If their function is different, they represent commonly used markers of adipocytes (10, 13, 21). It should be noted that these mature adipocytes markers allow us to come to the conclusion of increased IMAT content, but do not allow us to understand the exact role that these proteins might have in this IMAT development. The increase in IMAT content was also supported by the increase in intermuscular lipids content, as shown by the increase in oil red O positive staining quantified between the muscle fibers. Altogether, these results indicate an increase in IMAT content at the cellular level in the vastus lateralis muscle of patients with breast cancer who were treated with CT, and extend previous results from cross-sectional studies comparing patients with healthy controls (15, 16).
We next investigated key adipogenesis markers and found that C/EBPα slightly increased post-CT whereas PPARγ remained unchanged. These results appear paradoxical as given the large increase in mature adipocyte markers post-CT, one could expect to observe an increase in adipogenesis markers. However, by drawing a parallel between the widely studied cellular mechanisms driving muscle atrophy and those of IMAT development, we could also hypothesize that adipogenesis markers might have been upregulated earlier during CT. Indeed, cellular processes triggering muscle atrophy usually return to “normal” expression values when muscle atrophy is established (22–24). In our study, following the completion of 18 wk of CT treatment, the mature adipocytes were well established without any residual upregulation of adipogenesis markers driving adipocyte differentiation. The knowledge that IMAT development mechanisms occur within days of muscle disuse further supports this interpretation (5).
IMAT Development and Fibro-Adipogenic Progenitor Accumulation: An Unwelcome Combination
Although the implication of FAPs in IMAT development was consensually admitted in various conditions (2, 9, 13, 21), we highlighted FAPs accumulation in patients with breast cancer. Indeed, we established a substantial increase in PDGFRα protein levels post-CT, and FAPs represent the primary cells expressing the cell surface receptor PDGFRα. Thus, our results may indicate that FAPs are implicated in IMAT accumulation in patients with breast cancer undergoing CT but preclinical investigations are necessary to highlight a direct mechanistic link.
Although FAPs essentially promote more fibrotic tissue formation than adipose tissue in various myopathies (10, 11, 25, 26), we did not observe changes in collagen area as well as fibrosis markers such as protein levels of fibronectin and collagen I. Our results suggest that FAPs differentiate into adipose tissue rather than fibrotic tissue in patients with breast cancer who were treated with CT. It will be of interest to determine whether CT directly promotes FAP differentiation into adipocytes, whether an unfavorable cellular microenvironment mediates it, or whether it could be a combination of both (13, 27). Isolation of FAPs from muscle biopsies would allow us to investigate, through in vitro experiments, whether the chemotherapy, the tumor or the combination of both play a direct role in FAP differentiation into adipocytes.
Are Fibro-Adipogenic Progenitors Responsible for Both IMAT Accumulation and Muscle Atrophy?
We reported substantial muscle atrophy characterized by a decrease in the CSA of vastus lateralis muscle fibers, reaching −21% post-CT. This result is supported by previous studies showing a similar decrease in patients with breast cancer (28) and in preclinical models (29, 30). Undoubtedly, muscle atrophy appears to be a strong maladaptation consecutive to breast cancer treatment, and it negatively influences both treatment tolerance and disease-free survival (1). Using ultrasonography to investigate vastus lateralis muscle architecture, we found a significant reduction in fascicle length, combined with a trend for a decrease in muscle thickness (P = 0.08) post-CT. Notably, the decrease in vastus lateralis muscle fiber CSA was comparable with the considerable effect of 60 years of healthy aging (31), whereas the muscle architecture reorganization was comparable with 5 wk of bedrest (32), an extreme muscle disuse model. Both comparisons strongly highlight the profound impact of breast cancer and its chemotherapy treatment on the skeletal muscle apparatus.
In this clinical study, we reported the simultaneous presence of IMAT accumulation and muscle atrophy in patients with breast cancer, as highlighted in many other human skeletal muscle deconditioning models (2, 5, 33, 34). If FAP accumulation plays a critical role in IMAT development, it may also represent an early marker of muscle atrophy. Indeed, FAPs have been recently identified to promote skeletal muscle atrophy in animal models through inflammatory pathways such as IL-6/STAT3 or IL-1β (35, 36). Thus, if we speculate that FAPs represent a crucial initiator of skeletal muscle atrophy in patients with breast cancer, their specific role in the cross talk between skeletal muscle atrophy and IMAT development needs to be extensively studied.
The Use of Echogenicity to Quantify IMAT Accumulation
Echogenicity, a parameter obtained noninvasively through ultrasonography, has been recommended to assess muscle quality and the indirect presence of IMAT (20). However, despite an increase in IMAT content evidenced in our cellular observations, we did not report any changes in echogenicity. This discrepancy might be explained because echogenicity was validated in the context of rotator cuff tears (20), an injury that can induce “more fat than muscle” according to the Goutallier Staging System for grading fatty infiltration (6). Even if the increase found in mature adipocyte markers is considerable in our experimental setting, our breast cancer patients did not experience the same magnitude of increase. Therefore, echogenicity measured through ultrasonography may not be sensitive enough to detect “small” adaptations into a “large” muscle such as the vastus lateralis, and should be interpreted with caution.
Conclusions
This longitudinal clinical study showed IMAT development and skeletal muscle atrophy at the cellular level in patients with breast cancer who were treated with chemotherapy. Interestingly, skeletal muscle FAPs likely play a critical role in the skeletal muscle deconditioning observed in patients with breast cancer but further studies are required to decipher the underlying mechanisms and develop therapeutic interventions.
GRANTS
This work was supported by the Institut de Cancérologie Strasbourg Europe (ICANS) and has been published under the framework of the IdEx Unistra supported by investments in the future program of the French government.
DISCLOSURES
No conflicts of interest, financial or otherwise, are declared by the authors.
AUTHOR CONTRIBUTIONS
J.M., E.H., T.J.H., and A.F.P. conceived and designed research; J.M., E.H., L.B., and A.F.P. performed experiments; J.M., E.H., L.B., A.C., L.D., C.P., P.T., R.S., F.F., X.P., T.J.H., and A.F.P. analyzed data; J.M., E.H., L.B., A.C., L.D., C.P., P.T., R.S., F.F., X.P., T.J.H., and A.F.P. interpreted results of experiments; J.M. and E.H. prepared figures; J.M. and A.F.P. drafted manuscript; J.M., E.H., F.F., X.P., T.J.H., and A.F.P. edited and revised manuscript; J.M., E.H., L.B., A.C., L.D., C.P., P.T., R.S., F.F., X.P., T.J.H., and A.F.P. approved final version of manuscript.
ACKNOWLEDGMENTS
Image acquisition and analysis was performed on the Imaging Platform of the CRBS, PIC-STRA UMS 38, Inserm, Unistra. We also thank Julien Graff from the Histology Institute of the faculty of medicine (University of Strasbourg) for performing the Masson’s trichrome staining. We specifically want to acknowledge our patients for participation.
REFERENCES
- 1. Mallard J, Hucteau E, Hureau TJ, Pagano AF. Skeletal muscle deconditioning in breast cancer patients undergoing chemotherapy: current knowledge and insights from other cancers. Front Cell Dev Biol 9: 719643, 2021. doi: 10.3389/fcell.2021.719643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Brioche T, Pagano AF, Py G, Chopard A. Muscle wasting and aging: experimental models, fatty infiltrations, and prevention. Mol Aspects Med 50: 56–87, 2016. doi: 10.1016/j.mam.2016.04.006. [DOI] [PubMed] [Google Scholar]
- 3. Mallard J, Hucteau E, Charles A-L, Bender L, Baeza C, Pélissie M, Trensz P, Pflumio C, Kalish-Weindling M, Gény B, Schott R, Favret F, Pivot X, Hureau TJ, Pagano AF. Chemotherapy impairs skeletal muscle mitochondrial homeostasis in early breast cancer patients. J Cachexia Sarcopenia Muscle 13: 1896–1907, 2022. doi: 10.1002/jcsm.12991. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Peel AB, Thomas SM, Dittus K, Jones LW, Lakoski SG. Cardiorespiratory fitness in breast cancer patients: a call for normative values. J Am Heart Assoc 3: e000432, 2014. doi: 10.1161/JAHA.113.000432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Pagano AF, Brioche T, Arc‐Chagnaud C, Demangel R, Chopard A, Py G. Short-term disuse promotes fatty acid infiltration into skeletal muscle. J Cachexia Sarcopenia Muscle 9: 335–347, 2018. doi: 10.1002/jcsm.12259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Kuzel BR, Grindel S, Papandrea R, Ziegler D. Fatty infiltration and rotator cuff atrophy. J Am Acad Orthop Surg 21: 613–623, 2013. doi: 10.5435/JAAOS-21-10-613. [DOI] [PubMed] [Google Scholar]
- 7. Biltz NK, Collins KH, Shen KC, Schwartz K, Harris CA, Meyer GA. Infiltration of intramuscular adipose tissue impairs skeletal muscle contraction. J Physiol 598: 2669–2683, 2020. doi: 10.1113/JP279595. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Jeon YW, Park HS, Ko Y, Sung YS, Shim BY, Suh YJ, Kim HA. Intermuscular fat density as a novel prognostic factor in breast cancer patients treated with adjuvant chemotherapy. Breast Cancer Res Treat 189: 759–768, 2021. doi: 10.1007/s10549-021-06322-4. [DOI] [PubMed] [Google Scholar]
- 9. Uezumi A, Ito T, Morikawa D, Shimizu N, Yoneda T, Segawa M, Yamaguchi M, Ogawa R, Matev MM, Miyagoe-Suzuki Y, Takeda S, Tsujikawa K, Tsuchida K, Yamamoto H, Fukada S. Fibrosis and adipogenesis originate from a common mesenchymal progenitor in skeletal muscle. J Cell Sci 124: 3654–3664, 2011. doi: 10.1242/jcs.086629. [DOI] [PubMed] [Google Scholar]
- 10. Uezumi A, Fukada S, Yamamoto N, Ikemoto-Uezumi M, Nakatani M, Morita M, Yamaguchi A, Yamada H, Nishino I, Hamada Y, Tsuchida K. Identification and characterization of PDGFRα+ mesenchymal progenitors in human skeletal muscle. Cell Death Dis 5: e1186, 2014. doi: 10.1038/cddis.2014.161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Ieronimakis N, Hays A, Prasad A, Janebodin K, Duffield JS, Reyes M. PDGFRα signalling promotes fibrogenic responses in collagen-producing cells in Duchenne muscular dystrophy. J Pathol 240: 410–424, 2016. doi: 10.1002/path.4801. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Molina T, Fabre P, Dumont NA. Fibro-adipogenic progenitors in skeletal muscle homeostasis, regeneration and diseases. Open Biol 11: 210110, 2021. doi: 10.1098/rsob.210110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Uezumi A, Fukada S, Yamamoto N, Takeda S, Tsuchida K. Mesenchymal progenitors distinct from satellite cells contribute to ectopic fat cell formation in skeletal muscle. Nat Cell Biol 12: 143–152, 2010. doi: 10.1038/ncb2014. [DOI] [PubMed] [Google Scholar]
- 14. Judge SM, Deyhle MR, Neyroud D, Nosacka RL, D'Lugos AC, Cameron ME, Vohra RS, Smuder AJ, Roberts BM, Callaway CS, Underwood PW, Chrzanowski SM, Batra A, Murphy ME, Heaven JD, Walter GA, Trevino JG, Judge AR. MEF2c-dependent downregulation of Myocilin mediates cancer-induced muscle wasting and associates with cachexia in cancer patients. Cancer Res, 80: 1861–1874, 2020. doi: 10.1158/0008-5472.CAN-19-1558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Beaudry RI, Kirkham AA, Thompson RB, Grenier JG, Mackey JR, Haykowsky MJ. Exercise intolerance in anthracycline-treated breast cancer survivors: the role of skeletal muscle bioenergetics, oxygenation, and composition. Oncologist 25: e852–e860, 2020. doi: 10.1634/theoncologist.2019-0777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Reding KW, Brubaker P, D'Agostino R, Kitzman DW, Nicklas B, Langford D, Grodesky M, Hundley WG. Increased skeletal intermuscular fat is associated with reduced exercise capacity in cancer survivors: a cross-sectional study. Cardiooncology 5: 3, 2019. doi: 10.1186/s40959-019-0038-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Smith LR, Barton ER. SMASH—semi-automatic muscle analysis using segmentation of histology: a MATLAB application. Skelet Muscle 4: 21, 2014. doi: 10.1186/2044-5040-4-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Gabe M. Techniques Histologiques. Paris: Masson, 1968. [Google Scholar]
- 19. Ando R, Taniguchi K, Saito A, Fujimiya M, Katayose M, Akima H. Validity of fascicle length estimation in the vastus lateralis and vastus intermedius using ultrasonography. J Electromyogr Kinesiol 24: 214–220, 2014. doi: 10.1016/j.jelekin.2014.01.003. [DOI] [PubMed] [Google Scholar]
- 20. Park B-K, Hong S-H, Jeong W-K. Effectiveness of ultrasound in evaluation of fatty infiltration in rotator cuff muscles. Clin Orthop Surg 12: 76–85, 2020. doi: 10.4055/cios.2020.12.1.76. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Heredia JE, Mukundan L, Chen FM, Mueller AA, Deo RC, Locksley RM, Rando TA, Chawla A. Type 2 innate signals stimulate fibro/adipogenic progenitors to facilitate muscle regeneration. Cell 153: 376–388, 2013. doi: 10.1016/j.cell.2013.02.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Kawashima S, Akima H, Kuno S-Y, Gunji A, Fukunaga T. Human adductor muscles atrophy after short duration of unweighting. Eur J Appl Physiol 92: 602–605, 2004. doi: 10.1007/s00421-004-1184-4. [DOI] [PubMed] [Google Scholar]
- 23. Hanson AM, Harrison BC, Young MH, Stodieck LS, Ferguson VL. Longitudinal characterization of functional, morphologic, and biochemical adaptations in mouse skeletal muscle with hindlimb suspension. Muscle Nerve 48: 393–402, 2013. doi: 10.1002/mus.23753. [DOI] [PubMed] [Google Scholar]
- 24. Atherton PJ, Greenhaff PL, Phillips SM, Bodine SC, Adams CM, Lang CH. Control of skeletal muscle atrophy in response to disuse: clinical/preclinical contentions and fallacies of evidence. Am J Physiol Endocrinol Physiol 311: E594–E604, 2016. doi: 10.1152/ajpendo.00257.2016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Bosnakovski D, Chan SSK, Recht OO, Hartweck LM, Gustafson CJ, Athman LL, Lowe DA, Kyba M. Muscle pathology from stochastic low level DUX4 expression in an FSHD mouse model. Nat Commun 8: 550, 2017. [Erratum in Nat Commun 9: 856, 2018]. doi: 10.1038/s41467-017-00730-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Hogarth MW, Defour A, Lazarski C, Gallardo E, Diaz Manera J, Partridge TA, Nagaraju K, Jaiswal JK. Fibroadipogenic progenitors are responsible for muscle loss in limb girdle muscular dystrophy 2B. Nat Commun 10: 2430, 2019. doi: 10.1038/s41467-019-10438-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Mozzetta C, Consalvi S, Saccone V, Tierney M, Diamantini A, Mitchell KJ, Marazzi G, Borsellino G, Battistini L, Sassoon D, Sacco A, Puri PL. Fibroadipogenic progenitors mediate the ability of HDAC inhibitors to promote regeneration in dystrophic muscles of young, but not old Mdx mice. EMBO Mol Med 5: 626–639, 2013. doi: 10.1002/emmm.201202096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Mijwel S, Cardinale DA, Norrbom J, Chapman M, Ivarsson N, Wengström Y, Sundberg CJ, Rundqvist H. Exercise training during chemotherapy preserves skeletal muscle fiber area, capillarization, and mitochondrial content in patients with breast cancer. FASEB J 32: 5495–5505, 2018. doi: 10.1096/fj.201700968R. [DOI] [PubMed] [Google Scholar]
- 29. Min K, Kwon O-S, Smuder AJ, Wiggs MP, Sollanek KJ, Christou DD, Yoo J-K, Hwang M-H, Szeto HH, Kavazis AN, Powers SK. Increased mitochondrial emission of reactive oxygen species and calpain activation are required for doxorubicin-induced cardiac and skeletal muscle myopathy. J Physiol 593: 2017–2036, 2015. doi: 10.1113/jphysiol.2014.286518. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Nissinen TA, Degerman J, Räsänen M, Poikonen AR, Koskinen S, Mervaala E, Pasternack A, Ritvos O, Kivelä R, Hulmi JJ. Systemic blockade of ACVR2B ligands prevents chemotherapy-induced muscle wasting by restoring muscle protein synthesis without affecting oxidative capacity or atrogenes. Sci Rep 6: 32695, 2016. doi: 10.1038/srep32695. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Lexell J, Taylor CC, Sjöström M. What is the cause of the ageing atrophy? Total number, size and proportion of different fiber types studied in whole vastus lateralis muscle from 15- to 83-year-old men. J Neurol Sci 84: 275–294, 1988. doi: 10.1016/0022-510x(88)90132-3. [DOI] [PubMed] [Google Scholar]
- 32. de Boer MD, Seynnes OR, di Prampero PE, Pisot R, Mekjavić IB, Biolo G, Narici MV. Effect of 5 weeks horizontal bed rest on human muscle thickness and architecture of weight bearing and non-weight bearing muscles. Eur J Appl Physiol 104: 401–407, 2008. doi: 10.1007/s00421-008-0703-0. [DOI] [PubMed] [Google Scholar]
- 33. Manini TM, Clark BC, Nalls MA, Goodpaster BH, Ploutz-Snyder LL, Harris TB. Reduced physical activity increases intermuscular adipose tissue in healthy young adults. Am J Clin Nutr 85: 377–384, 2007. doi: 10.1093/ajcn/85.2.377. [DOI] [PubMed] [Google Scholar]
- 34. Wang H-L, Ding T-T, Lu S, Xu Y, Tian J, Hu W-F, Zhang J-Y. Muscle mass loss and intermuscular lipid accumulation were associated with insulin resistance in patients receiving hemodialysis. Chin Med J (Engl) 126: 4612–4617, 2013. [PubMed] [Google Scholar]
- 35. Madaro L, Passafaro M, Sala D, Etxaniz U, Lugarini F, Proietti D, Alfonsi MV, Nicoletti C, Gatto S, De Bardi M, Rojas-García R, Giordani L, Marinelli S, Pagliarini V, Sette C, Sacco A, Puri PL. Denervation-activated STAT3–IL-6 signalling in fibro-adipogenic progenitors promotes myofibres atrophy and fibrosis. Nat Cell Biol 20: 917–927, 2018. doi: 10.1038/s41556-018-0151-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Parker E, Khayrullin A, Kent A, Mendhe B, Youssef El Baradie KB, Yu K, Pihkala J, Liu Y, McGee-Lawrence M, Johnson M, Chen J, Hamrick M. Hindlimb immobilization increases IL-1β and Cdkn2a expression in skeletal muscle fibro-adipogenic progenitor cells: a link between senescence and muscle disuse atrophy. Front Cell Dev Biol 9: 790437, 2021. doi: 10.3389/fcell.2021.790437. [DOI] [PMC free article] [PubMed] [Google Scholar]