Body composition is related to cardiometabolic disorders and is a major driver of the growing incidence of type 2 diabetes mellitus (T2DM). Altered fat distribution and decreased muscle mass are related to dysglycemia and impose adverse health-related outcomes in people with T2DM. Hence, improving body composition and maintaining muscle mass is crucial in T2DM. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are novel glucose-lowering medications gaining popularity because of their cardiorenal-protective effects and weight-lowering characteristics. However, reports on myopathy secondary to SGLT2 inhibitor treatment raised a safety concern. The importance of maintaining muscle mass in people with T2DM necessitates further investigation to explore the impact of novel medications on body composition. In this review, we discussed current evidence on the impact of SGLT2 inhibitors on body composition in people with T2DM.
Altered body composition plays a significant role in the pathogenesis and prognosis of type 2 diabetes mellitus.
Sodium–glucose cotransporter 2 (SGLT2) inhibitors are new glucose-lowering drugs that reduce body weight, but their effect on body composition remains uncertain.
This review aimed to investigate the association of SGLT2 inhibitors and body composition in type 2 diabetes mellitus.
What was learned from the review?
SGLT2 inhibitors reduce total body weight in people with type 2 diabetes mellitus. Reduction of body weight is primarily due to the loss of fat mass.
In long-term studies, loss of fat-free mass approximately contributes 35% of body weight reduction. This change is comparable to the body composition changes reported after lifestyle interventions and bariatric surgery.
The impact of SGLT2 inhibitors on body composition significantly differs from sulfonylureas and dipeptidyl peptidase 4 inhibitors, but it is similar to glucagon-like peptide 1 receptor agonists.
Introduction
Type 2 diabetes mellitus (T2DM) is a growing public health burden, affecting more than 400 million individuals worldwide [1]. The condition is associated with long-term adverse outcomes, namely cardiovascular disease (CVD), chronic kidney disease (CKD), as well as increased risk of mortality [2]. Modifiable risk factors including dietary habits and alterations in body composition influence the burden of T2DM [3]. In this context, the significance of body composition extends beyond measures such as body weight (BW) and body mass index (BMI). Other factors such as abnormal fat distribution, particularly visceral adiposity, and reduction of lean mass are more crucial [4, 5]. Thus, understanding the effects of therapeutic interventions on body composition in T2DM is clinically significant.
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Sodium–glucose cotransporter 2 (SGLT2) inhibitors are a novel class of oral glucose-lowering medications that increase renal glucose excretion while posing little risk of hypoglycemia [6]. They also reduce blood pressure and have been associated with cardiorenal protection [7‐9]. SGLT2 inhibitors have been associated with weight reduction through fat mass loss, but concerns have been raised regarding their potential impact on muscle mass [10]. Rare cases of sarcopenia and myopathy have been reported after using SGLT2 inhibitors, particularly in older individuals taking statins [11, 12]. However, recent animal studies revealed opposite trends, i.e., increased skeletal muscle mass and hand grip strength after treatment with SGLT2 inhibitors [13].
Considering the mentioned controversial findings, it is important to evaluate body composition changes associated with SGLT2 inhibitors. In this review we summarized current evidence and the key underlying mechanisms related to the effects of SGLT2 inhibitors on body composition, focusing on fat mass and fat-free mass.
Type 2 Diabetes Mellitus and Body Composition
Changes in body composition influence the risk of developing T2DM through a variety of mechanisms such as insulin resistance, metabolic dysfunction, and de novo lipogenesis in ectopic tissues [14, 15]. There is also a bidirectional interplay between T2DM and loss of muscle mass giving rise to a vicious cycle [16]. Sarcopenia, characterized as progressive age-related muscle mass and function decline, is more common in people with T2DM and is influenced mainly by insulin resistance [17, 18]. Sarcopenia contributes to poor glycemic control and increased risk of adverse outcomes such as frailty, particularly among the aging population [17, 19].
Impaired insulin action in skeletal muscle disrupts multiple pathways, thereby promoting protein degradation and muscle catabolism, while also hampering protein synthesis [20]. A chronic inflammatory state, oxidative stress, increased reactive oxygen species, and accumulation of advanced glycation end-products (AEGs) also exacerbate muscle loss in people with diabetes [21‐23].
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Effective weight management and improving body composition are crucial in the management of T2DM and achieving better glycemic control while minimizing diabetes-related chronic complications [24, 25]. Current guidelines emphasize on the importance of sustained weight loss and muscle mass restoration through individualized therapeutic approaches, dietary modifications, and regular exercise [14, 26‐29].
Mechanism of Action of Sodium–Glucose Cotransporter 2 Inhibitors on Body Composition
SGLT2 inhibitors reduce renal glucose reabsorption, leading to decreased blood glucose levels independent of insulin release [30]. In a healthy adult, almost all of the filtered glucose is reabsorbed, primarily by SGLT2 proteins [31]. These proteins are expressed in the proximal convoluted tubules of the kidneys and actively transport glucose into the interstitium [32]. In individuals with diabetes, SGLT2 proteins are paradoxically upregulated, resulting in excessive glucose reabsorption despite high blood glucose levels [33]. Inhibition of SGLT2 transporters promotes renal glucose excretion and improves glucose homeostasis and insulin sensitivity. Additional metabolic benefits include an early diuretic effect and calorie loss in the urine [34], causing a significant weight reduction [6, 35]. Despite sustained urinary glucose excretion, compensatory adaptation mechanisms attenuate excess water and calorie loss associated with long-term SGLT2 inhibition. These mechanisms include upregulation of the renin–angiotensin–aldosterone system, increased appetite, and changes in energy expenditure/substrate utilization [36, 37].
SGLT2 inhibitors also induce gluconeogenesis while enhancing the uptake, utilization, and catabolism of fatty acids, leading to various effects on lipid metabolism, including glucagon release, ketogenesis, and free fatty acid oxidation and mobilization [38, 39]. Consequently, SGLT2 inhibitors are linked to alterations in body composition even during prolonged use.
Methods for Evaluating Body Composition
Body composition refers to the proportion of different tissues in the human body, such as fat, muscle, bone, and water [40]. Methods for analyzing body composition are categorized as direct (e.g., cadaveric) or indirect methods, with the latter estimating body composition using mathematical equations based on known parameters [41]. Traditionally, body composition is divided into fat mass and fat-free mass, but more detailed models further divide fat-free mass into water, proteins, and minerals [42] (Table 1).
Table 1
Different compartments of body composition
Compartment
Definition
Fat mass
Mass of adipose tissue
Fat-free mass
Total body mass except fat mass
Lean body mass
Fat-free mass except for mineral content (bones)
Skeletal muscle mass
Lean body mass minus connective tissue, skin, and other organs
Simple anthropometric measurements such as BMI, waist circumference, and waist-to-height ratio offer quick assessments of body composition but lack detailed information [43, 44]. Computed tomography (CT) scan and magnetic resonance imaging (MRI) are the gold standard methods for evaluating body composition; however, high cost and low accessibility limit their widespread use [45].
Common methods for measuring body composition include bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). BIA rapidly assesses body composition by measuring impedance after passing a small electrical current through the body. It estimates total body water, fat-free mass, and fat mass using single or multiple frequencies [46]. DXA has higher precision in the assessment of body composition. It uses X-ray imaging to measure bone density, fat mass, and lean mass [42]. Both DXA and BIA offer segmental assessments of body composition in regions like arms, legs, and trunk.
When interpreting the findings for clinical decision-making, it is crucial to consider the limitations of each technique. BIA results rely on a constant, population-based level of hydration and body fluid distribution, making them susceptible to other factors such as target population, stage of obesity, fluid overload, dehydration, and recent exercise prior to testing [47, 48]. DXA offers greater precision but requires trained technicians and uses estimation algorithms that may not be applicable to certain populations [49]. Additionally, caution should be exercised when using terms like fat-free mass and lean body mass interchangeably with skeletal muscle mass, as there are distinctions between these compartments (Table 1).
Methods
We searched PubMed/Medline, Scopus, and Web of Science from inception to July 2023 for studies that assessed changes in body composition (including fat mass and fat-free mass) among patients with T2DM treated with SGLT2 inhibitors. The search included Medical Subject Heading (MeSH) terms for “body composition” OR “muscle mass” OR “lean body mass” OR “anthropometric indices” AND “type 2 diabetes mellitus” AND “sodium-glucose cotransporter 2 inhibitors”. The following drug names were also included: “empagliflozin”, “dapagliflozin”, “Farxiga”, “Xigduo”, “canagliflozin”, “Jardiance”, “Glyxambi”, “ertugliflozin”, “Stegaltro”, “Steglujan”, “Qtren”, “ipragliflozin”, “sotagliflozin”, “Zynquista”, “tofogliflozin”, “luseogliflozin”, “licogliflozin”, “Novartis”, and “Phlorizin”. The search was limited to randomized clinical trials (RCT), and additional manual searching was performed.
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The search yielded 1100 results, of which 1080 were excluded. Exclusion criteria were animal studies, duplicated studies, studies with unrelated topics, inappropriate study designs, inaccessible full text, and incomplete data. Finally, 20 articles were included for review in this study. Quality assessment of the included articles were conducted using National Institute of Health (NIH) Tool for Quality Assessment of Controlled Intervention Studies (available from www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools). The quality of studies were rated as “good”, “fair”, and “poor”.
To facilitate report and comparing the findings, we refer to changes in the lean body mass and skeletal muscle mass as the fat-free mass in this review, acknowledging the differences between these definitions.
Ethical Approval
This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.
Results and Discussion
We identified 20 RCTs investigating body composition change after treatment with SGLT2 inhibitors and details of the reviewed studies are presented in Tables 1 and 2. The method of body composition assessment is unspecified in one study [50]. Eleven studies used DXA [51‐61], six studies used BIA [62‐67], and two used a combination of DXA, BIA, and MRI [68, 69]. Also, studies had mostly fair to good qualities (supplementary material, Table S1).
Table 2
Characteristics of clinical trials reporting changes in body composition with SGLT2is treatment
Metformin and pioglitazone combination for at least 8 weeks
Control
15
56.7 ± 11.8
30.2 ± 2.5
T2DM type 2 diabetes, BMI body mass index, NR not reported, SGLT2i sodium–glucose cotransporter 2 inhibitors, DPP4 dipeptidyl peptidase 4, OAD oral antidiabetic drugs
Data are reported as mean ± standard deviation or median (interquartile range)
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In the following sections, we present and discuss the findings based on the study duration and the comparators.
Effect of Treatment Duration on Body Composition
There were four studies with long-term duration (follow-up > 24 weeks). They showed that SGLT2 inhibitors are associated with a reduction of 2.5–4.5 kg in BW, 2–2.6 kg in fat mass, and 0.9–1.5 kg in fat-free mass, compared to the baseline. Notably, loss of fat-free mass comprised 25–36% of the total weight reduction [51, 52, 55, 59] (Table 3). In the remaining studies with shorter duration of follow-up, loss of fat-free mass ranged widely from 0 to 20% of total weight loss in three studies [61, 63, 66], 20–50% in seven studies [53, 54, 60, 65, 67‐69], and more than 50% in three studies [57, 62, 64] (Fig. 1). In one study, the reduction in fat-free mass was greater than the overall weight loss, and the fat-free mass loss-to-BW loss ratio exceeded 1 [58].
Table 3
Body composition changes following SGLT2 inhibitors treatment
SGLT2 sodium–glucose cotransporter 2 inhibitors, BW body weight, T2DM type 2 diabetes mellitus, DXA dual-energy X-ray absorptiometry, BIA bioelectrical impedance analysis, NR not reported, NAFLD nonalcoholic fatty liver disease, Grp group
*Statistically significant between-group P value
aData are presented as mean or median values
bThe label fat-free mass includes muscle mass, lean mass, and fat-free mass
Fig. 1
Changes in total body weight and fat-free mass (kg) following SGLT2 inhibitor treatment
×
The study of Fadini et al. also demonstrated that dapagliflozin treatment for 12 weeks causes a high proportional loss of fat-free mass [62]. They reported that BIA-derived fat-free mass was reduced by 2.9 kg (accounting for over 90% of BW reduction), with a total body water loss of 2.4 kg. Bioelectrical impedance vector analysis (BIVA) in this study showed that dapagliflozin mainly reduced the fluid content of the body.
Changes in visceral and subcutaneous adipose tissue were investigated in 10 studies [53, 56, 57, 59, 63, 65‐69]. SGLT2 inhibitors reduced visceral and subcutaneous adipose tissue greater than placebo; however, this difference was only significant in the study of Bolinder et al. [53]. The difference in changes were not significant when SGLT2 inhibitors were compared to compared to semaglutide and linagliptin [59, 67]. Additional details regarding these changes can be found in supplementary material, Table S2.
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Unless contraindicated, glucose-lowering medications are prescribed for a lifetime. As mentioned earlier, the effects of SGLT2 inhibitors on body composition vary on the basis of the duration of treatment. Initial weight reduction is attributed to the loss of fluid and calories. In the long term, BW reduction becomes attenuated as a result of counter-regulatory mechanisms, and studies indicate that it plateaus after about 26 weeks [70]. Consequently, in the long term, SGLT2 inhibitors result in a modest decrease in BW, around 2–3 kg [71].
Body compartments with high water content, namely fat-free mass, are particularly affected by acute fluid loss [62]. In contrast, longer assessments of patients with T2DM who were treated with empagliflozin showed insignificant changes in body water and fat-free mass [67]. These findings support the notion that fat-free mass is potentially more affected early following SGLT2 inhibitor treatment [58].
Two previous meta-analyses have explored the impact of SGLT2 inhibitors on body composition and their overall findings are consistent with those observed in long-term studies [72, 73]. The meta-analysis by Pan and colleagues reported that the mean difference [95% confidence interval] when comparing SGLT2 inhibitors with the control group was − 2.73 kg [− 3.32 to − 2.13] for BW, − 1.16 kg [− 2.01 to − 0.31] for fat mass, − 0.76 kg [− 1.53 to 0.01] for lean mass, and − 1.01 kg [− 1.91 to − 0.11] for skeletal muscle mass [73]. A network meta-analysis by Ida et al. revealed that canagliflozin and dapagliflozin significantly reduced fat-free mass compared to placebo, accounting for 20–30% of the total weight reduction [72].
Weight reduction interventions generally result in both fat mass and fat-free mass losses, albeit to different extents, depending on their mechanism of action, concurrent medications, baseline BMI, and gender [74, 75]. Current evidence suggests that loss of fat-free mass contributes to about one-third of the total reduction in BW following lifestyle interventions and bariatric surgery [76‐79] (supplementary material, Table S3). Changes in body composition associated with SGLT2 inhibitor treatment are comparable to other weight reduction interventions. Nonetheless, it is crucial to investigate the impact of acute loss of fat-free mass on patient outcomes, especially among vulnerable individuals.
Sodium–Glucose Cotransporter 2 Inhibitors Versus Other Comparators
In this review, nine placebo-controlled studies were included. The between-group mean difference of changes in total BW and fat-free mass were about − 1.5 to − 3 kg and + 0.27 to − 0.9 kg, respectively [51‐54, 56, 58, 62, 68, 69] (supplementary material, Fig. S1). MRI analyses on iliopsoas muscle surface area after 24 weeks of treatment also showed no significant alterations compared to placebo [68, 69]. In a sub-study of the CANTATA-SU trial, the effects of add-on canagliflozin treatment on body composition over 26 weeks were assessed, with both 100 mg and 300 mg per day doses [51]. Both doses caused significant changes in BW, fat mass, and fat-free mass compared to placebo, while the proportional loss of fat-free mass was consistent at approximately 37%.
In three studies, sulfonylureas were the comparator drugs [55, 61, 64]. Our review found that sulfonylureas increased BW, fat mass, and fat-free mass across all three studies, resulting in significant differences when compared to SGLT2 inhibitors. The mean difference was − 3 to − 5 kg for total BW and − 1.2 to − 2.2 kg for fat-free mass. Sulfonylureas are insulin secretagogues agents and are associated with weight gain [80]. Taking note of these differences between sulfonylureas and SGLT2 inhibitors helps us tailor individualized treatment plans. For patients with T2DM who are overweight, SGLT2 inhibitors might be considered as a preferred treatment option as they address glucose control and body composition simultaneously.
Two studies compared the effects of SGLT2 inhibitors to dipeptidyl peptidase 4 (DPP4) inhibitors on body composition [50, 67]. The first involved Asian patients with uncontrolled T2DM despite receiving premixed insulin, and was conducted over 24 weeks [67]. In this study, baseline BMIs were 28.0 ± 3.5 kg and 27.7 ± 5.0 kg/m2 in linagliptin and empagliflozin groups, respectively. As expected, empagliflozin reduced BW by 1.8 kg compared to linagliptin. The authors also report a difference in change of − 1.39 kg in fat-free mass [67]. The other study, which lasted for a shorter duration of 12 weeks, was conducted among Japanese people with T2DM and BMI over 28 kg/m2 [50]. It showed that the changes in BW and skeletal muscle index (SMI) with ipragliflozin compared to sitagliptin were − 1.61 kg and − 0.035 kg/m2, respectively. Further studies are needed to explore the effects of SGLT2 inhibitors vs DPP4 inhibitors on fat-free mass.
Two studies compared the effects of SGLT2 inhibitors and glucagon-like peptide 1 (GLP-1) receptor agonists on body composition in patients with T2DM, utilizing DXA as the assessment method [59, 60]. Nakaguchi et al. reported results from a 24-week treatment period, indicating a nonsignificant between-group difference of − 0.1 kg for fat-free mass [60]. Another study, conducted over 52 weeks, also reported a nonsignificant mean difference of − 0.78 kg (95% confidence interval − 1.61, 0.04) for fat-free mass. Two reviews exploring current evidence on this issue reported comparable effects of GLP-1 receptor agonists and SGLT2 inhibitors on fat-free mass [81, 82]. Moreover, a network meta-analysis found that semaglutide was associated with a greater reduction in BW and fat-free mass, followed by canagliflozin and dapagliflozin [72]. Although current evidence supports the comparable effects of GLP-1 receptor agonists and SGLT2 inhibitors on body composition, limited head-to-head comparison data warrant caution in making treatment decisions. On the other hand, certain patients with T2DM benefit from combination therapy of GLP-1 receptor agonists and SGLT2 inhibitors, including those with multiple risk factors, atherosclerotic cardiovascular disease, and patients not reaching specific treatment goals (e.g., obesity) [83, 84]. Further research is needed to explore the outcomes of such combination therapies on body composition.
Other studies included in this review, investigated the effects of add-on therapy with SGLT2 inhibitors among patients with T2DM who were taking oral antidiabetic medications and/or insulin [57, 63, 65, 66]. Significant reduction in total BW was reported with SGLT2 inhibitor therapy, without a clinically meaningful effect on fat-free mass [57, 63, 65, 66].
Strengths, Limitations, and Future Direction
In this study, we performed a systematic search, and included published RCTs. Additionally, the overall quality of the included studies was evaluated. These strengths enabled us to comprehensively examine how SGLT2 inhibitors affect body composition in individuals with T2DM. Nevertheless, there were some limitations when interpreting the findings. The major limitation was that data were largely heterogeneous in relation to the study duration, method of body composition assessment, and patients’ characteristics. In addition, investigating the changes in body composition was not the primary outcome in most of the studies. Also, a few studies considered background medications or the effect of multiple treatment regimens. For instance, Nakaguchi et al. compared the effects of treatment with empagliflozin versus liraglutide among patients who were taking insulin as the baseline regimen [60]. This study reported smaller changes in all compartments of body composition compared to McCrimmon et al.’s study, which also reported the effects of SGLT2 inhibitors versus GLP-1 receptor agonists on body composition [59]. These findings further highlight the importance of fractional changes in fat-free mass when assessing the safety of SGLT2 inhibitors.
Current meta-analyses have not fully addressed the heterogeneities in patient characteristics including comparator drugs, method of body composition assessment, and study duration [72, 73]. Pan and colleagues performed subgroup analysis based on different comparators, but the duration of treatment was not considered [73]. The method of body composition assessment was also not considered in the study of Ida and colleagues [72]. A major limitation is the lack of a universally recognized standard method to measure body composition. As mentioned earlier, BIA is affected by fixed assumptions of hydration status. This is highly significant when coexisting comorbidities, mainly CKD, are present [85]. Future trials should prioritize using more precise methods like DXA and diligently account for potential confounding factors.
Conclusion
Current evidence suggests that weight loss associated with SGLT2 inhibitor treatment is mainly due to the reduction of fat mass. Loss of fat-free mass contributes to one-third of total BW loss. This change is comparable to the body composition changes reported after lifestyle interventions, bariatric surgery, and GLP-1 receptor agonist treatment.
Declarations
Conflict of Interest
Soodeh Jahangiri, Mojtaba Malek, Sanjay Kalra, and Mohammad E. Khamseh have nothing to disclose.
Ethical Approval
This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
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