Favorable liver and skeletal muscle changes in patients with MASLD and T2DM receiving glucagon-like peptide-1 receptor agonist: A prospective cohort study
Open accessAbstract
To investigate changes in skeletal muscle mass and fat fraction in patients with metabolic dysfunction-associated steatotic liver disease (MASLD) and type 2 diabetes mellitus (T2DM) undergoing treatment with Semaglutide for 6months. This single-arm pilot study included 21 patients with MASLD who received semaglutide for T2DM. Body weight, metabolic parameters, liver enzymes, fibrosis markers, skeletal muscle index (cm 2 /m 2 ), and fat fraction (%) at the L3 level using the two-point Dixon method on magnetic resonance imaging (MRI), as well as liver steatosis and liver stiffness assessed using MRI-based proton density fat fraction (MRI-PDFF) and MR elastography, respectively, were prospectively examined before and 6 months after semaglutide administration. The mean age of the patients was 53 years and 47.6% were females. The median liver steatosis-fraction (%) and skeletal muscle steatosis-fraction values (%) significantly decreased (22.0 vs 12.0; P = .0014) and (12.8 vs 9.9; P = .0416) at baseline and 6 months, respectively, while maintaining muscle mass during treatment. Semaglutide also dramatically reduced hemoglobin A1c (%) (6.8 vs 5.8, P = .0003), AST (IU/L) (54 vs 26, P < .0001), ALT (IU/L) (80 vs 34, P = .0004), and γ-GTP (IU/L) levels (64 vs 34, P = .0007). Although not statistically significant, Body weight (kg) (79.9 vs 77.4), body mass index (BMI) (kg/m 2 ) (28.9 vs 27.6), and liver stiffness (kPa) (28.9 vs 27.6) showed a decreasing trend. Fibrosis markers such as M2BPGi, type IV collagen, and skeletal muscle area did not differ. Semaglutide demonstrated favorable effects on liver and skeletal muscle steatosis, promoting improved liver function and diabetic status.
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Few studies of anti-obesity drug treatment directly evaluate intramyocellular lipids in humans or animals, and none were conducted in aged humans or animals; all involved models of obesity and/or Type 2 diabetes.
“There are few studies of anti-obesity drug treatment that directly evaluate IMCLs in either humans or animals [153–156], which report either decreases or no change in IMCL. However, none of these studies were conducted in aged humans or animals, and all involved models of obesity and/or Type 2 diabetes.”
From Targeting Intramyocellular Lipids to Improve Aging Muscle Function (2025) · cites this paper as [155]
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Younossi, Z. M., Koenig, A. B., Abdelatif, D., Fazel, Y., Henry, L., & Wymer, M. (2016) · Hepatology · doi:10.1002/hep.28431 · Cited by 10,781 · see citing works
A multisociety Delphi consensus statement on new fatty liver disease nomenclature
Rinella, M. E., Lazarus, J. V., Ratziu, V., Francque, S. M., Sanyal, A. J., Kanwal, F., Romero, D., Abdelmalek, M. F., Anstee, Q. M., Arab, J. P., et al. (2023) · Hepatology · doi:10.1097/hep.0000000000000520 · Cited by 3,476 · see citing works
Rinella, M. E., Neuschwander-Tetri, B. A., Siddiqui, M. S., Abdelmalek, M. F., Caldwell, S., Barb, D., Kleiner, D. E., & Loomba, R. (2023) · Hepatology · doi:10.1097/hep.0000000000000323 · Cited by 2,667 · see citing works
Armstrong, M. J., Gaunt, P., Aithal, G. P., Barton, D., Hull, D., Parker, R., Hazlehurst, J. M., Guo, K., Abouda, G., Aldersley, M. A., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)00803-x · Cited by 2,203 · see citing works
A Placebo-controlled trial of subcutaneous semaglutide in nonalcoholic steatohepatitis
Newsome, P. N., Buchholtz, K., Cusi, K., Linder, M., Okanoue, T., Ratziu, V., Sanyal, A. J., Sejling, A.-S., & Harrison, S. A. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2028395 · Cited by 2,039 · see citing works
Sarcopenic obesity in older adults: aetiology, epidemiology and treatment strategies
Batsis, J. A., & Villareal, D. T. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0062-9 · Cited by 1,382 · cited 1× · see citing works
“[17] Therefore, maintaining muscle mass during weight loss treatment is particularly important, as the preservation of skeletal muscle is the key to maintaining insulin sensitivity.”
BackgroundDiabetes increases the risk of chronic liver disease and hepatocellular carcinoma
El‐Serag, H. B., Tran, T., & Everhart, J. E. (2004) · Gastroenterology · doi:10.1053/j.gastro.2003.10.065 · Cited by 1,232 · see citing works
McPherson, S., Hardy, T., Henderson, E., Burt, A. D., Day, C. P., & Anstee, Q. M. (2014) · Journal of Hepatology · doi:10.1016/j.jhep.2014.11.034 · Cited by 1,059 · see citing works
Chang, T., Liaw, Y., Wu, S., Schiff, E. R., Han, K., Lai, C., Safadi, R., Lee, S. S., Halota, W., Goodman, Z. D., et al. (2010) · Hepatology · doi:10.1002/hep.23785 · Cited by 973 · see citing works
The Sensitivity Performance of the Human Eye on an Absolute Scale*
Rose, A. (1948) · Journal of the Optical Society of America · doi:10.1364/josa.38.000196 · Cited by 935 · see citing works
Imajo, K., Kessoku, T., Honda, Y., Tomeno, W., Ogawa, Y., Mawatari, H., Fujita, K., Yoneda, M., Taguri, M., Hyogo, H., et al. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.11.048 · Cited by 815 · see citing works
Correa-de-Araujo, R., Addison, O., Miljkovic, I., Goodpaster, B. H., Bergman, B. C., Clark, R. V., Elena, J. W., Esser, K. A., Ferrucci, L., Harris-Love, M. O., et al. (2020) · Frontiers in Physiology · doi:10.3389/fphys.2020.00963 · Cited by 468 · see citing works
Quantification of Liver Fat with Magnetic Resonance Imaging
Reeder, S. B., & Sirlin, C. B. (2010) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2010.08.013 · Cited by 343 · see citing works
Eradication of Hepatitis C Virus in Patients Successfully Treated for Chronic Hepatitis C
Maylin, S., Martinot-Peignoux, M., Moucari, R., Boyer, N., Ripault, M., Cazals-Hatem, D. L., Giuily, N., Castelnau, C., Cardoso, A. C., Asselah, T., et al. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.05.044 · Cited by 319 · see citing works
Jendle, J., Nauck, M. A., Matthews, D. R., Frid, A., Hermansen, K., Düring, M., Zdravkovic, M., Strauss, B. J., Garber, A. J., & Groups, O. B. O. T. L. A. L. S. (2009) · Diabetes, Obesity and Metabolism · doi:10.1111/j.1463-1326.2009.01158.x · Cited by 312 · see citing works
Amelioration of muscle wasting by glucagon‐like peptide‐1 receptor agonist in muscle atrophy
Hong, Y., Lee, J. H., Jeong, K. W., Choi, C. S., & Jun, H. (2019) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12434 · Cited by 188 · see citing works
Ajmera, V. H., Park, C. C., Caussy, C., Singh, S., Hernandez, C., Bettencourt, R., Hooker, J. C., Sy, E. Z., Behling, C. A., Xu, R., et al. (2018) · Gastroenterology · doi:10.1053/j.gastro.2018.04.014 · Cited by 167 · see citing works
Perna, S., Guido, D., Bologna, C., Solerte, S. B., Guerriero, F., Isu, A., & Rondanelli, M. (2016) · Aging Clinical and Experimental Research · doi:10.1007/s40520-015-0525-y · Cited by 125 · see citing works
Ren, Q., Chen, S., Chen, X., Niu, S., Yue, L., Pan, X., Li, Z., & Chen, X. (2022) · Drug Design, Development and Therapy · doi:10.2147/dddt.s381546 · Cited by 91 · see citing works
Ishii, S., Nagai, Y., Sada, Y., Fukuda, H., Nakamura, Y., Matsuba, R., Nakagawa, T., Kato, H., & Tanaka, Y. (2019) · Journal of Clinical Medicine Research · doi:10.14740/jocmr3647 · Cited by 42 · see citing works
Geladari, E. V., Alexopoulos, T., Kontogianni, M. D., Vasilieva, L., Mani, I., Τέντα, Ρ., Sevastianos, V., Vlachogiannakos, J., & Alexopoulou, A. A. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12093332 · Cited by 25 · see citing works
Ozeki, Y., Masaki, T., Yoshida, Y., et al. (2018) · Nutrients · doi:10.3390/nu10101456 · Cited by 22 · see citing works
Yoshimitsu, K., Shinagawa, Y., Mitsufuji, T., et al. (2016) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.mp.2016-0047 · Cited by 15 · see citing works
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- Authors
- Kakegawa, T., Sugimoto, K., Saito, K., Yunaiyama, D., Araki, Y., Wada, T., Takahashi, H., Yoshimasu, Y., Takeuchi, H., & Itoi, T.
- Affiliations
- Tokyo Medical University (JP)
- Corresponding author
- Sugimoto, Katsutoshi
- ORCID
- Venue
- Medicine
- Published
- 2024-06-07
- Volume
- 103
- Issue
- 23
- Pages
- e38444
- ISSN
- 0025-7974 (ISSN-L)
- 1536-5964
- PMC
- PMC11155541
- OpenAlex
- W4399431363
- Cited by
- 32
- References
- 23
- Citations by year
- 2026: 11 · 2025: 20 · 2024: 1
- FWCI
- 9.71
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- non-alcoholic fatty liver disease, type 2 diabetes, semaglutide, GLP-1 receptor agonists, hepatic steatosis, skeletal muscle mass, proton density fat fraction, magnetic resonance elastography, liver stiffness, liver fibrosis, glycemic control, liver enzymes
- MeSH terms
- Glucagon-Like Peptide-1 Receptor Agonists, Semaglutide, Adult, Aged, Diabetes Mellitus, Type 2, Glucagon-Like Peptides, Fatty Liver, Female, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Liver, Magnetic Resonance Imaging, Male, Middle Aged, Pilot Projects, Prospective Studies, Muscle, Skeletal, Elasticity Imaging Techniques
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