Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Cell Dev. Biol., 06 November 2025

Sec. Molecular and Cellular Pathology

Volume 13 - 2025 | https://doi.org/10.3389/fcell.2025.1650496

Effects of aerobic treadmill exercise on the bone turnover in obese male mice

  • 1School of Exercise and Health, Shanghai University of Sport, Shanghai, China
  • 2Department of Rehabilitation Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
  • 3School of Physical Education and Sports Science, South China Normal University, Guangzhou, China
  • 4Institute of Orthopedic Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, China
  • 5College of Athletic Performance, Shanghai University of Sport, Shanghai, China

Introduction: This study aims to investigate the effects of aerobic exercise on the bones of obese male mice induced by a high-fat diet and determine the related mechanisms. Results will provide a reference for exercise-related recommendations in the early adulthood of rodents.

Methods: Sixty male C57BL/6 mice were raised to 5 weeks of age and then stratified randomly by body weight into a normal diet group and a high-fat diet group for a 12-week dietary intervention. After 12 weeks, successfully modeled obese male mice were stratified randomly by body weight into an obese control group and an obese exercise group. Twenty mice from the normal diet group were stratified randomly by body weight into a control group and an exercise group. A 10-week aerobic treadmill exercise intervention was conducted, and the feed administered to each group was not changed.

Results: High-fat diet-induced obesity causes abnormalities in body weight, blood glucose, and lipid metabolism in mice, inhibits bone formation, promotes bone resorption, and leads to decreased bone mass in obese male mice.

Conclusion: These findings are mainly related to the inhibition of the WNT signaling pathway and the dysregulation of adipokines. Aerobic exercise can effectively reduce the body weight of obese male mice and alleviate abnormalities in glucose and lipid metabolism. To some extent, it also alleviates the inhibition effect of obesity on WNT pathway signaling, promotes bone formation, and inhibits bone resorption.

Introduction

Changes in production and lifestyle have gradually increased the proportion of obese people worldwide, especially in developed regions. Obesity is caused by the imbalance of energy intake and consumption and is mainly characterized by overweight and massive fat accumulation. The World Health Organization (WHO) has set body mass index≥ 30 kg/m2 as the standard for judging obesity. About 13% of people suffer from obesity globally. If the recent trend continues, then 57.8% of the of the adult population will be overweight or obese by 2030 (Blüher, 2019; Caballero, 2019). Obesity cannot only greatly increase the risk of chronic metabolic diseases such as diabetes and hypertension but also is closely related to the health status of bones (Apovian, 2016).

Osteoporosis (OP) is characterized by decreased bone mineral density (BMD), low bone mass, and increased risk of fracture. The imbalance of bone homeostasis is the most fundamental cause of OP (Felsenberg and Boonen, 2005). The effect of obesity on bone is complex and could be benign. High body weight acts on bones, and it causes strong mechanical stimulation signals felt by bone cells, such as osteoblasts and osteocytes, and increase bone mass. In addition, the increase in estrogen level in obese people can directly promote the activity of osteoblasts, inhibit the activity of osteoclasts, and protect bones (Rinonapoli et al., 2021). However, scholars found that the positive effect of mechanical load on bone mass due to weight gain could not offset the adverse effect of obesity on bone mass. Obesity changes the bone microenvironment, inhibits the differentiation of bone marrow mesenchymal stem cells (BMSCs) into osteoblasts, promotes adipogenic differentiation, and increases bone fat. The high inflammatory state caused by obesity and the secretion of adipokines also have a negative effect on bone (Forte et al., 2023; Piñar-Gutierrez et al., 2022; Shapses and Sukumar, 2012).

Regular physical exercises are conducive to physical health, and weight-bearing exercises are crucial to bone metabolism and homeostasis. Mechanical stress generated by exercise and the secretion of related factors can promote bone formation, reduce bone resorption, improve bone mass, and thus reduce the risk of falls (Qiu et al., 2023; Styner et al., 2014). Exercise can alleviate the acquisition of bone marrow adipose tissue, and promote the formation of bone mass in obese mice (Chubak et al., 2006). Although proper exercise can promote bone mass, the molecular mechanism of aerobic exercise-induced bone remodeling in obese individuals has not been elucidated. In the present study, we used high-fat diet (HFD) to build a mouse obese model and identified their bone phenotype. The obese male mice underwent a 10-week treadmill exercise to explore the effects of aerobic exercise on the bones and identify the related mechanisms. Results will provide exercise reference for children and adolescents with bone mass loss due to obesity.

Materials and methods

Ethics statement

This study was carried out in strict accordance with the recommendations from the Ethical Committee of School of Physical Education and Sports Science, South China Normal University on the Care and Use of Animal Subjects in Research (Approval Number: SCNU-SPT-2020-003). Five mice were housed in each cage and were provided water ad libitum. All mice were maintained in an environment with a 12-h light–dark cycle (7:00-19:00) at 22 °C ± 2 °C.

Treatment of animals

Sixty 5-week-old C57BL/6 male mice were randomly divided into normal diet group (CTR group, n = 30) and high fat diet group (HFD group, n = 30) for 12 weeks. The CTR group was given common feed, while the HFD group was administered with specially-made high-fat feed (D12492, Sailing Organism). The weight of mice in each group was recorded every week. The difference in the area under curve (AUC) between glucose tolerance test (GTT) and insulin tolerance test (ITT) in the HFD group was used to judge the success of modeling. We selected the heaviest 21 mice as obese male mice and randomly divided them into the obese group (HFD group, n = 9) and the obese exercise group (HFD + EX group, n = 12) according to their weight. Twenty-two mice given with ordinary diet were randomly divided into the control group (CTR group, n = 10) and the exercise control group (CTR + EX group, n = 12) according to their weight. Theses mice were then given exercise intervention for 10 weeks and provided with the same feed. At 5 weeks of age, mice were subjected to a 12 weeks high-fat diet to induce an obesity model; at 17 weeks of age, the mice began a 10-week treadmill intervention; finally, the mice were euthanized and samples were collected at 27 weeks of age, because after the end of the exercise intervention at 26 weeks of age, indicator tests will be conducted on the mice, such as Glucose Tolerance Test (GTT) and Insulin Tolerance Test (ITT).

Treadmill running protocol

The treadmill running protocol is presented in Table 1. The first week was set for adaptive training. The running speed was gradually increased from 6 m/min to 10 m/min, the running slope was 12, and the training duration was 50min each time for 5 days a week. After the adaptive training, the running speed was increased by 1 m/min every week until 15 m/min, at which it was kept the same with a gradient of 12, training for 50 min every time and training for 5 days every week. To control for circadian effects, all running training sessions were conducted daily at the same time, starting at zeitgeber time 14 (ZT14). Given that ZT0 is defined as the time of lights-on (07:00) in our facility, ZT14 corresponds to 14 h after lights-on, which is 21:00.

Table 1
www.frontiersin.org

Table 1. Treadmill running protocol.

Extraction, culture and stretch stimulation of primary BMSCs

Obese male mice were induced with HFD. BMSCs were extracted from both legs of mice in the CTR and HFD groups by conventional methods. After being treated with red cell lysates, BMSCs were planted in a 10 cm Petri dish and incubated for 7 days until BMSCs adhered to the wall. The α-MEM medium (containing 10% FBS+1% PS) was changed every other day, and the cells were cultured in an incubator at 37 °C and with 5% CO2. When the cells were full, they were digested with 0.25% trypsin, subcultured to the first generation, and inoculated into a six-well plate pulled by BioFlex at a rate of 1 × 105/mL.

After the cells grew to 80%, they were subjected to tension stimulation using the Flexcell FX-5000 cell tension instrument. After intervention, the BMSCs of the CTR group and HFD groups were divided into four groups: control group (CTR), stretch control group (CTR + Str), obese control group (HFD), and obese stretch group (HFD + Str), with 6% tensile intensity, 0.5 Hz frequency, and the 4 h/day intervention time for 3 days. After the tension, cells were collected.

Glucose tolerance test (GTT) and insulin tolerance test (ITT)

GTT: Before the experiment, the mice were fasted for 16 h, and 50% glucose solution was injected with 4 g/kg glucose intraperitoneally according to their weight. The blood glucose values of the tail vein were recorded at 0, 15, 30, 60, 90 and 120 min after injection. ITT: Before the experiment, the mice were fasted. According to the weight of the mice, 1 μL/kg insulin was injected intraperitoneally. The blood glucose values of the tail vein were recorded at 0, 15, 30, 60, 90 and 120min after injection.

Micro-computed tomography measurements

The microarchitecture of the distal femoral metaphysis was analyzed using a VIVA CT80X micro-imaging system (SCANCO Medical AG, Switzerland). Each sample was scanned strictly in accordance with the following scanning parameters: 55 kVp, 145 μA, 8 W X-rays, and 9 μm. After the scan was completed, the reconstructed results were converted to TIFF format and then analyzed using the analysis software including Data Viewer, CTAn, and CTvox. To ensure complete comparability of the analyzed volumes between groups, we selected a standardized volume of interest (VOI) for each femur based on clear anatomical landmarks.For cancellous bone analysis, the starting position of the VOI was set exactly 0.5 mm proximal to the growth plate to exclude the primary spongiosa, and extended 1.0 mm proximally. This VOI was manually outlined to include only the secondary spongiosa, with the cortex excluded. For cortical bone analysis, a 1.0 mm long cortical bone VOI was selected at the mid-diaphysis of the femur. This anatomical landmark-based method ensures that the identical anatomical region is analyzed for each sample, eliminating any potential bias in VOI selection. The microarchitecture parameters of the cortical bone and the trabecular bone were measured using built-in software and include the following: relative volume fraction of trabecular bone (BV/TV), number of trabecular bones (Tb.N), trabecular thickness (Tb.Th), degree of trabecular bone separation (Tb.Sp), and cortical thickness (Ct.Th).

Calcein injection and bone histomorphometry

Mouse bones were labeled with subcutaneously injected calcein (5 μL/g) on days 1 and 8 before they were killed on day 9. The femurs injected with calcein in each group were fixed with 4% PFA. After gradient dehydration with alcohol and xylene, the samples were embedded in methyl methacrylate, solidified, and ground into squares. A Leica hard tissue slicer was used to collect samples at 4 μm. The slices were dried and stained with Masson trichromatic dye. The distance between the cancellous bone area and the lower edge of the growth plate of the distal femur was measured as 1–4 mm by using the digital morphometry system (high-resolution color subsystem of Osteomeasure). The measurement parameters were cancellous bone mineralization rate (MAR), bone formation rate/bone surface (BFR/BS), bone formation rate/bone volume (BFR/BV), bone formation rate/total tissue volume (BFR/TV), BV/TV, Tb.N, Tb.Th, and Tb.Sp as well as number and surface percentage of osteoblasts (N.Ob/B.Pm, N.Ob/T.Ar, Ob/BS) and osteoclasts (N.Oc/B.Pm, N.Oc/T.Ar, Oc/BS).

H&E and TRACP staining

The femur fixed with 4% PFA was decalcified, dehydrated by xylene and gradient alcohol, and embedded in paraffin. A Leica tissue microtome was used to collect samples at 4 μm. For HE staining, the sample was dewaxed with xylene, hydrated with gradient alcohol, washed with distilled water, and dyed with hematoxylin for 5 min. The stained sample was washed with running water and subjected to hydrochloric acid alcohol differentiation for several seconds. The sample was washed again with running water, stained with eosin for 5 min, dehydrated with gradient alcohol, and sealed with neutral gum after passing xylene. Samples were selected for TRACP dyeing, dewaxed with xylene, hydrated with gradient alcohol, washed with distilled water, stained with TRACP kit, and sealed with neutral gum after passing xylene. The slices were observed under a microscope.

RNA sequencing

Trizol (AG RNAex Pro RNA) was used to isolate the total RNA of the tibia of mice in each group. RNA-Seq library construction and RNA high-throughput sequencing were carried out by Beijing Genome Research Institute (BGI, China) on BGISEQ-500 high-throughput sequencing instrument. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Set Enrichment Analysis (GSEA), Weighted Correlation Network Analysis (WGCNA), and Time Process Analysis were analyzed according to the previously described methods.

Real-time quantitative PCR

Total RNA was isolated from the BMSCs or the left tibias of mice and reverse-transcribed using 1 µg of total RNA with oligo-dT primers at 42 °C for 1 h. All PCRs were performed using 2 µg of respective cDNA with SYBR Green qPCR Master Mix (Roche, Switzerland). Alkaline phosphatase (ALP), Runt-related transcription factor 2 (Runx2), activating transcription factor 4 (ATF4), osteopontin (OPN), cathepsin K (CTSK), matrix metalloproteinase-9 (MMP9), nuclear factor-activated T cell 1 (NFATc1), cluster of differentiation 24 (CD24), fatty acid transport protein 1 (Fatp1), CCAAT/enhancer binding protein β (CEBPβ), and peroxisome proliferator-activated receptor γ (PPARγ) mRNA were measured by quantitative testing. Quantification of mRNA was performed using Step One Plus™ Sequencing Detection System (Life Technologies, United States). The following cycling parameters were used: 40 cycles of denaturation at 95 °C for 15 s and annealing at 60 °C for 60 s. The mouse primers used in this study are presented in Table 2.

Table 2
www.frontiersin.org

Table 2. RT-PCR primer sequences.

Western blot assay

Total proteins were extracted from other tibias with RIPA Lysis Buffer (Biyuntian, China) containing a protease inhibitor cocktail (Roche, Switzerland). The proteins were separated by 10% SDS-PAGE and transferred onto a 0.45 µm PVDF membrane (Millipore, United States). The blotting membranes were blocked with 5% skim milk powder in 1×TBS-Tween (TBST) for 1 h. After washing with 1×TBST three times for 10 min each, the blotting membranes incubated with rabbit polyclonal Runx2 (1:1,000; CST, #12556), rabbit polyclonal CTSK (1:1,000; CST, #57056), rabbit polyclonal CCN4 (1:1,000; Abcam, ab260036), and rabbit polyclonal GAPDH antibody (1:1,000; Cell Signaling Technology, #2118S).

Immunofluorescence

The femur fixed with 4% paraformaldehyde was embedded with OCT, frozen, sectioned with a thickness of 10 μm, and then stained with immunofluorescence. The sample was washed with PBS three times, blocked with 1% bovine serum albumin and 0.3% Triton X-100 for 30 min, and incubated with the primary antibody (OCN, 1:200; Proteintech, GB11233-100) at 4 °C overnight. The sample was incubated with the second antibody (AF488-labeled Goat Anti-Rabbit lgG (H + L), 1:2000; Beyotime, A0423) for 2 h the next day. Anti-fluorescence quenching sealing solution containing DAPI were dripped, and images were obtained with Leica confocal imaging system.

Analysis of serum biochemical markers

Serum insulin (INS), triglycerides (TG), total cholesterol (CHOL), and free fatty acids (NEFA) were detected. Serum samples were obtained from six mice from each group, and the corresponding indicators were detected by radioimmunoassay.

The levels of serum ALP, procollagen type I N-terminal propeptide (PINP), serum calcium (Ca), and collagen cross-linked terminal peptide (CTX-1) of collagen type I were determined by enzyme-linked immunosorbent assay kit (China Yunclone Company).

Statistical analysis

All data were processed by SPSS26.0 software, and the results were expressed by mean ± SEM. Two-way ANOVA was used to analyze the presence of any difference between the groups. P < 0.05 was considered statistically significant.

Results

Aerobic treadmill exercise reduced the body weight of obese male mice and alleviated abnormal blood glucose in obese male mice

Figure 1 summarizes the basic physiological parameters of mice after intervention. The experimental intervention timeline of the mice (Figure 1A). We first evaluated the effect of HFD on body weight, as shown in (Figure 1B), the body weight growth curves of mice in each group indicate that a difference in body weight between the CTR group and HFD group emerged at the fifth week of high-fat diet feeding. In addition, we conducted a comprehensive assessment of systemic metabolic phenotypes in each group and found that high-fat diet impaired glucose tolerance in the HFD group, which was manifested by an increased area under the curve (AUC) value in the GTT (Figures 1C,D). This was accompanied by significant insulin resistance, as reflected by a marked increase in the AUC value in the ITT (Figures 1E,F). We randomly divided the CTR group into the CTR group and the CTR + EX group, and divided the HFD group into the HFD group and the HFD + EX group. Mice in the exercise group underwent aerobic treadmill training for 10 weeks, during which the feed of each group remained unchanged (Figure 1G). From the 21st week, the weight of mice in the HFD + EX group was significantly lower than that in the HFD group (Supplementary Figure S1). Aerobic treadmill exercise for 10 weeks can significantly reduce the weight of obese male mice. We also conducted glucose tolerance and insulin tolerance tests. Compared with CTR mice, CTR + EX mice had better glucose and insulin tolerance. Obesity can cause impaired glucose and insulin tolerance in mice, and 10 weeks of aerobic exercise intervention cannot restore glucose tolerance and insulin tolerance (Figures 1I–N).

Figure 1
Illustration depicting a series of experiments on mice related to diet, exercise, and glucose levels. Panel A shows the timeline of normal and high-fat diets (HFD) over 16 weeks. Panel B shows increased weight in HFD mice. Panel C shows higher glucose area under the curve (AUC) in HFD mice. Panel D presents glucose levels over time, showing higher levels in HFD mice. Panel E repeats glucose AUC data. Panel F shows glucose levels at different times. Panel G illustrates mice exercising on treadmills. Panel H shows weight changes during exercise. Panels I through N contain additional glucose and weight data comparing different groups. Statistical significance is marked with asterisks.

Figure 1. Aerobic treadmill exercise reduces the body weight of obese male mice and alleviated abnormal blood glucose in obese male mice. (A) HFD was given to establish obesity model; (B) weight change of mice during obesity modeling period (CTR, n = 19; HFD, n = 22); (C) GTT AUC of mice after 3 months of high-fat diet feeding (CTR, n = 16; HFD, n = 22); (D) GTT of mouse blood glucose values in different time periods (CTR, n = 16; HFD, n = 22); (E) ITT AUC of mice after 3 months of high-fat diet feeding (CTR, n = 18; HFD, n = 22); (F) ITT of mice blood glucose values in different time periods (CTR, n = 16; HFD, n = 22); (G) Aerobic treadmill exercise program for mice; (H) Mouse weight changes during exercise (CTR, n = 10; HFD, n = 9; CTR + EX, n = 12; HFD + EX, n = 12); (I) GTT AUC of obese male mice after 10 weeks of exercise (n = 9); (J) Blood glucose values of mice in different periods of GTT after 10 weeks of exercise (n = 9); (K) Changes in blood glucose in mice in each group at 60 min after glucose injection (n = 9); (L) ITT AUC of obese male mice after 10 weeks of exercise (n = 9); (M) Blood glucose values of mice in different periods of ITT after 10 weeks of exercise (n = 9); (N) Changes of blood glucose in each group immediately after insulin injection (n = 9). *P < 0.05, **P < 0.01, ***P < 0.001. Each data point represents an independent biological sample. Bars represent mean ± SEM.

Aerobic treadmill exercise improves lipid metabolism in obese male mice

Before sacrifice, all mice were anesthetized, and photos of their overall morphology were taken (Figure 2A). Subsequently, the body weight of mice in each group was measured. Compared with the CTR group, the body weight of mice in the high-fat HFD group significantly increased; despite treadmill exercise intervention, the body weight of mice in the HFD group remained significantly higher than that of CTR + EX group (Figure 2B). Furthermore, compared with the CTR group, the body length of mice in the HFD group also showed a trend of being slightly longer than that of the control group (Figure 2C). The Subcutaneous Adipose Tissue (ScWAT), the gonadal fat, the perirenal fat, and the brown adipose tissue (BAT) of mice were isolated after dissection, photographed, and weighed (Figures 2D–H). The weight, body length, and four kinds of adipose tissues of mice in the HFD group were significantly higher than those in the CTR group. After 10 weeks of treadmill exercise, the gonadal fat weight of the HFD + EX group was significantly lower than that of the HFD group, so 10 weeks of aerobic treadmill exercise could reduce the gonadal fat weight of obese male mice.

Figure 2
Four panels labeled A, D, B, C show mice and fat measurements under different conditions: Control (CTR), Control with exercise (CTR+EX), High-fat diet (HFD), and High-fat diet with exercise (HFD+EX). Panel A depicts mice of each group. Panel D shows subcutaneous and gonadal fat comparisons. Graphs B to E illustrate weight, length, and fat measurements, with statistical annotations. Additional graphs F to Q display fat types, triglycerides, cholesterol, insulin, glucose, and mRNA levels for genes like CD24, PPARγ, Fapt1, CEBPβ, indicating varied metabolic impacts across groups.

Figure 2. Aerobic treadmill exercise improves lipid metabolism in obese male mice. (A) Image of mice after 3 months of high-fat dietary feeding; (B) Body weight of mice in each group (n = 9); (C) Length of mice in each group (n = 9); (D) Image of ScWAT and Gonadal fat in mice after 3 months of high-fat dietary feeding; (E–H) Weight of ScWAT, Gonadal fat, Perirenal fat, and BAT in each group (n = 9); (I–L) Serum TG (n = 5), total CHOL (n = 4), NEFA (n = 4), and INS (n = 5) concentrations of mice in each group; (M) Resting blood glucose content of mice in each group (n = 9); (N–Q) Relative mRNA levels of CD24, PPARγ, Fapt1, and CEBPβ in mice of each group (n = 9). *P < 0.05, **P < 0.01, ***P < 0.001. Each data point represents an independent biological sample. Bars represent mean ± SEM.

Radioimmunoassay was used to detect lipid metabolism in the serum of mice. The serum TG level of mice in the HFD group was reduced by treadmill exercise for 10 weeks (Figure 2I). Obesity increased serum CHOL level in mice (Figure 2J). Obesity and exercise had no significant difference in the serum NEFA and INS levels of mice, but the trend is consistent (Figures 2K,L). However, the blood glucose of mice in the CTR + EX group was significantly higher than that in the CTR group (Figure 2M).

After isolating mouse bones, RT-PCR was used to detect the relative mRNA levels of fat gene markers in mouse bones. The mRNA of Fapt1 and CEBPβ in the HFD group was significantly higher than that in the CTR group. The 10-week aerobic treadmill exercise significantly reduced the mRNA of CD24 and PPARγ in the CTR and HFD groups (Figures 2N–Q). Therefore, the weight gain and fat content of obese male mice models induced by HFD can be effectively alleviated by aerobic exercises.

Aerobic treadmill exercise alleviates the decrease of bone mass in obese male mice

To determine the effect of aerobic exercise on the bones of obese male mice, we performed micro-CT tomography and 3D reconstruction analysis of the femurs in each group of mice (Figure 3A). 10 weeks of aerobic exercise improved bone mass loss (Figure 3C), and differences in BV/TV, Tb.Th, Tb.Sp, and Ct.Th were not significant (Figures 3B,D–F). HE staining showed that compared with the CTR group, the cancellous bone space in the HFD group was wider, and the trabecular bone was less. However, the trabecular bone of mice in HFD + EX group increased significantly (Figure 3G).

Figure 3
Micro-CT images and graphs display bone analysis under different conditions: CTR, CTR+EX, HFD, and HFD+EX. 3D reconstructions show varying bone structures. Graphs depict measurements of bone volume fraction (BV/TV), trabecular number (Tb.N), trabecular thickness (Tb.Th), trabecular separation (Tb.Sp), and cortical thickness (Ct.Th). H&E stained histological images display bone sections. Bar charts indicate mRNA levels of ATF4 and Runx2 genes associated with osteogenesis. Measurements reveal differences across the experimental groups.

Figure 3. Aerobic treadmill exercise alleviates the decrease of bone mass in obese male mice. (A) Micro-CT 3D reconstruction of cancellous bone and cortical bone of distal femur; (B–F) BV/TV, Tb.N, Tb.Th, Tb.Sp and Ct.Th of mice in each group (n = 5); (G) HE staining diagram of mice in each group; (H,I) Levels of ATF4 and Runx2 mRNA in obese male mice after BMSCs mechanical traction (n = 6). *P < 0.05, **P < 0.01. Each data point represents an independent biological sample. Bars represent mean ± SEM.

In addition, we isolated the femurs and tibia of 12-week obese male mice and their control mice, extracted BMSCs, seeded in a six-well traction plate, and simulated mechanical stimulation in vitro using a cellular mechanical traction device. After stretching BMSCs, RNA was extracted from cells in each group. RT-PCR results showed that the expression of osteogenic genes ATF4 and Runx2 mRNA in BMSCs increased in the CTR + Str group. The expression of Runx2 mRNA in the BMSCs in HFD + Str group was significantly higher than that in the HFD group (Figures 3H,I).

Effect of aerobic treadmill exercise on bone formation in obese male mice

To further investigate the effect of aerobic treadmill exercise on bone formation in obese male mice, we labeled the bones of mice with subcutaneous calcein (5 μL/g) 1 and 8 days before sacrifice. Bone histomorphometrics were used after resin embedding to make hard bone sections (Figure 4A). Compared with the three other groups, the femoral MAR and BFR of the HFD group were the lowest among the other groups, although the differences among the groups was not significant. Although no significant differences were found in femoral MAR and BFR in the CTR + EX group and other groups, and the trend was increasing (Figures 4B–E). In the state of obesity, aerobic exercise can promote the rate of bone formation to a certain extent. After Masson three-color staining of bony sections (Figure 4F), the femur BV/TV and Tb.N of mice in the HFD group was lower than those in the CTR group (Figures 4G,H). No significant difference in bone formation rate was found among the other groups. Obesity inhibited femoral bone formation rate, and treadmill exercise could increase the trend of bone formation in obese male mice to a certain extent (Figures 4I–L).

Figure 4
Microscopic images and graphs depict various experimental groups: CTR, CTR+EX, HFD, and HFD+EX. Panel A shows fluorescent staining of tissue samples. Panels B-E and G-R present bar graphs comparing metrics such as MAR, BFR, BV/TV, and others across groups, with statistical significance indicated. Panel F displays stained histological sections. Panel O shows further stained sections with DAPI and CCN markers. Panel P displays Western blot results for Runx2 and β-tubulin across the groups. Statistical symbols such as asterisks indicate significance levels.

Figure 4. Aerobic treadmill exercise promotes bone formation and alleviates bone loss in obese male mice. (A) Image of calcein-labeled bones injected subcutaneously in mice 1 day and 8 days before sacrifice; (B–E) MAR, BFR/BS, BFR/BV, BFR/TV of mice in each group (n = 4). (F) Image of Masson staining of femoral hard tissue sections of mice in each group; (G–L) BV/TV, Tb.N, Tb.Sp, Ob.S/BS, N.Ob/B.Pm, N.Ob/T.Ar in each group of mice (n = 4). (M,N) The mRNA levels of tibial OPN and ALP in each group of mice (n = 9); (O) Immunofluorescence staining of femoral OCN protein in each group: green (OCN) and blue (DAPI); (P) Expression of runx2 protein in tibia of mice in each group; (Q,R) Serum levels of ALP and PINP in mice in each group (n = 5). *P < 0.05, **P < 0.01. Each data point represents an independent biological sample. Bars represent mean ± SEM.

The mRNA expression of OPN in the tibia of mice in the HFD group was significantly lower than that in the CTR group, and the mRNA expression of ALP and OPN in the tibia of mice in the CTR + EX group was higher than that in the CTR group. The mRNA expression of OPN could be increased by aerobic treadmill exercise for 10 weeks (Figures 4M,N). Immunofluorescence and Western blot results showed that 10 weeks of aerobic treadmill exercise increased the protein content of OCN and Runx2 (Figures 4O,P).

Furthermore, obesity induced by HFD led to a significant decrease in ALP content in mouse serum (Figure 4Q), while 10 weeks of aerobic treadmill exercise increased PINP content (Figure 4R).

Effects of aerobic treadmill exercise on bone resorption in obese male mice

To further investigate the effects of aerobic treadmill exercise on bone resorption in obese male mice, we performed TRACP staining. Mice in the HFD group showed increased bone resorption in trabecular bone, while exercise mitigated this phenomenon (Figure 5A). Bone histomorphometry statistics showed that obesity induced by HFD tended to increase bone resorption indices in mice. Aerobic treadmill exercise mitigated this trend. However, no significant differences were observed among the groups (Figures 5B–D). Western blot results showed that the Ctsk protein was significantly elevated in the HFD group, while 10 weeks of aerobic treadmill exercise inhibited the increase in Ctsk (Figure 5E). Although the expression of NFATc1 mRNA in the tibias was not significantly different among the groups, exercise showed a trend of alleviating bone resorption in obese male mice (Figure 5F). After stretching the BMSCs, RNA was extracted from each group. The RT-PCR results showed that stretching effectively inhibited the upregulation of mouse osteoclast genes Ctsk and MMP9 induced by obesity (Figures 5G,H). In addition, we detected the expression levels of urinary bone resorption marker CTX-1 and serum Ca in mice. The urinary CTX-1 content in the HFD group mice was higher than that in the CTR group (Figure 5I). The serum Ca content in the HFD+EX group mice was significantly higher than that in the CTR, CTR+EX and HFD groups (Figure 5J).

Figure 5
The image consists of multiple panels showing scientific results. Panel A displays histological images of tissue samples labeled CTR, CTR+EX, HFD, and HFD+EX. Panels B to D are bar graphs illustrating measurements of osteoclast number and activity. Panel E shows a Western blot analysis for Cathepsin K and β-tubulin. Panels F to H present bar graphs of mRNA levels for NFATc1, Ctsk, and MMP9. Panels I and J display bar graphs for CTX-1 levels and calcium concentration. Data is presented with bars representing different experimental conditions and statistical significance indicated by asterisks.

Figure 5. Aerobic treadmill exercise inhibits bone resorption in obese male mice. (A) Image of TRACP staining in mice in each group; (B–D) bone morphometry was used to detect the number of femoral N.Oc/T.AR and the area of N.Oc/B.Pm, Oc.S/BS in each group (n = 4); (E) Ctsk protein expression in tibias of mice from each group; (F) NFATc1 mRNA levels in tibias of mice from each group (n = 9); (G,H) Ctsk and MMP9 mRNA levels after mechanical stretching of BMSCs from obese male mice (n = 9); (I) Urinary CTX-1 levels in mice from each group (n = 5); (J) Serum Ca levels in mice from each group (CTR, n = 8; HFD, n = 8; CTR + EX, n = 10; HFD + EX, n = 10). **P < 0.01, ***P < 0.001. Each data point represents an independent biological sample. Bars represent mean ± SEM.

Obesity induced by HFD inhibits WNT signal transduction in mouse bones

RNA-Seq detection and KEGG pathway analysis of mouse tibias showed that obesity induced by HFD inhibited the WNT signaling pathway (Figure 6A). Among 22,066 differentially expressed genes, the expression of Wif1 was decreased in the CTR + EX group compared with that in the CTR group (Figure 6B). Among 21,971 differentially expressed genes, the expression of Serpinf1 and Ccn4 was upregulated in the HFD group compared with that in the CTR group, while the expression of Wif1 was downregulated compared with that in the CTR group (Figure 6C). Among 21,549 differentially expressed genes, the expression of Serpinf1 and Ccn4 was upregulated in the HFD group compared with tha in the CTR + EX group (Figure 6D). Total protein was extracted from the tibias of mice in each group. The Western blot results showed that the expression levels of Wif1 and β-catenin proteins increased in the CTR + EX group, while that of the β-catenin protein was significantly inhibited in the HFD group compared with those in the CTR group (Figure 6E). Total RNA was subsequently extracted from the tibias of mice form each group. The RT-PCR results showed that HFD decreased Ccn4 mRNA expression. Ten weeks of aerobic treadmill exercise effectively alleviated the decrease in β-catenin, Wif1, and Ccn4 mRNA expression caused by HFD, while Serpinf1 mRNA showed the opposite trend (Figures 6F–I). These results suggest that obesity induced by HFD may lead to bone loss by inhibiting the WNT signaling pathway.

Figure 6
The image contains multiple panels related to gene expression analysis and pathway enrichment. Panel A shows bar and dot plots of the top 20 KEGG pathway enrichments comparing CTR and HFD, with color indicating p-values. Panels B, C, and D are volcano plots displaying different gene expressions between groups (CTR vs. CTR+EX, CTR vs. HFD, and CTR+EX vs. HFD) with genes marked as significantly up or down-regulated. Panel E shows western blot results for Wif1, β-catenin, and GAPDH across different conditions. Panels F, G, H, and I present bar graphs comparing relative mRNA levels of specific genes (β-catenin, Wif1, Ccn4, and Serpinf1) across different conditions, with statistical significance indicated.

Figure 6. Obesity induced by high-fat diet inhibits WNT signal transduction in male mice bones. (A) Top 20 significantly enriched KEGG Biological Process of HFD male mice models, P < 0.05; (B–D) Respective volcano plots of sifted out DEGs for datasets of CTR and EX, CTR and HFD, EX and HFD mice tibias. Blue and red plots respectively represent down- and upregulated genes. Gray plots represent the remaining genes with no significant difference; (E) β-catenin and Wif1 protein expression in the tibias of mice from each group; (F–I) mRNA expression levels of β-catenin, Wif1, Ccn4, and Serpinf1 in the tibias of mice from each group. *P < 0.05, **P < 0.01, ***P < 0.001. Each data point represents an independent biological sample. Bars represent mean ± SEM.

Discussion

The main findings of this study can be summarized as follows. Obesity induced by HFD inhibits bone formation, promotes bone resorption, and leads to decreased bone mass in obese male mice. The effects of HFD-induced obesity on the bones are mainly associated with the inhibition of the WNT signaling pathway and the dysregulation of adipokine production. Aerobic exercise can, to some extent, alleviate the inhibition of WNT pathway transmission caused by obesity, promote bone formation, and inhibit bone resorption.

Male mice were selected to avoid the significant interference of the estrogen cycle on bone metabolism. Bone metabolism, especially bone formation, is strongly regulated by estrogen, and the estrogen level in female mice fluctuates regularly with the estrous cycle (usually 4–5 days) (Almeida et al., 2017; Xiong and O'Brien, 2012). The periodic fluctuations of such endogenous hormones are themselves a powerful and difficult to control variable, which can significantly affect the baseline status and response of osteoblast activity, osteoclast formation, and key signaling pathways such as Wnt/β-catenin (Melville et al., 2014). Therefore, in the initial exploratory study of mechanisms, prioritizing the use of male animals with a relatively stable physiological hormone environment is an effective strategy to control variables and ensure that we can clearly observe the core causal chain between exercise and bone (Beery and Zucker, 2011).

Obesity not only increases the risk of chronic metabolic diseases, such as diabetes and hypertension, but is also closely related to skeletal health (Klein-Nulend et al., 1995). Mechanical load is one of the factors contributing to increased bone mass. Therefore, the increased body weight caused by obesity was thought to apply additional force to the body, thereby increasing bone mass to some extent and reducing the occurrence of OP (Gower and Casazza, 2013; Guo et al., 2021). However, in recent years, an increasing number of studies have confirmed that obesity leads to fat accumulation and trabecular bone loss (Kleinert et al., 2018). The mechanisms involved include changes in bone cell metabolism, increased oxidative stress and inflammation, and alterations in bone-regulating hormones. Nevertheless, the mechanisms by which exercise improves obesity-induced bone loss require further investigation. Therefore, we designed this study to examine changes in bone mass in obese male mice due to exercise and explore the related bone turnover mechanism.

Feeding mice with a diet containing 60% fat resulted in a significant increase in body weight, elevated serum levels of TG, CHOL, and INS, and decreased glucose tolerance and insulin resistance (Gonnelli et al., 2014; Thyfault and Rector, 2020). Exercise can increase the body’s energy consumption, thereby reducing body weight and lowering fasting insulin levels (Nielson et al., 2011). After feeding 5-week-old C57BL/6 mice with HFD containing 60% fat for 12 weeks, the body weight consistently remained higher than that of control mice, and the obese male mice exhibited decreased glucose tolerance and insulin resistance. After 10 weeks of aerobic treadmill exercise, the body weight and fat mass of the mice significantly decreased. However, in the results of Figure 2B, the inter-group difference failed to reach the significant level observed in Figure 1H. We noticed that in the last week of the experiment, the mice underwent short-term fasting and injections for GTT and ITT. These necessary experimental procedures inevitably caused acute stress to the mice and might have temporarily affected their feeding behavior and energy metabolism. In addition, Supplementary Figure S1 of ours includes the weekly body weight measured during the exercise period for reference. The GTT AUC values of the four groups of mice showed that glucose clearance rates increased after aerobic exercise. Additionally, exercise improved serum CHOL and TG levels in obese male mice. The RT-PCR detection revealed that exercise reduced the expression of obesity-related fat genes in obese male mice. Hence, aerobic treadmill exercise, to some extent, alleviated abnormal lipid metabolism in obese male mice induced by HFD.

To control for the potential impact of circadian rhythms on exercise benefits, all exercise interventions in this study were strictly standardized to be conducted within the same time window (ZT 14). Evidence indicates that the physiological responses of organisms to exercise, including changes in energy metabolism and skeletal adaptability, are regulated by the intrinsic circadian clock (Sc et al., 2015; Wolff and Esser, 2012). Recent studies have clearly indicated that exercising at different stages of the animal’s active phase (ZT12-24) exerts distinctly different effects on bone and metabolism (Boudenot et al., 2021; Yu et al., 2024) For instance, exercise performed in the early stage of the active phase may primarily promote anabolism, whereas exercise conducted during the resting phase could disrupt normal rhythms and induce a stress response (Sato et al., 2019). Therefore, standardizing the exercise time is crucial for obtaining consistent and reproducible experimental results. In this study, treadmill training was conducted in male mice during the early active phase (ZT14). This choice aimed to mimic their natural activity peak and standardize the exercise intervention as a variable as much as possible, thereby ensuring that the observed effects of promoting bone formation and activating the Wnt pathway can be clearly attributed to exercise itself, rather than confounding effects caused by differences in exercise timing.

Under normal circumstances, the amount of old bone absorbed by osteoclasts is consistent with the amount of new bones generated by osteoblasts. This balance maintains the continuous renewal of bone tissue and its mechanical integrity throughout life, playing an important role in maintaining the homeostasis of trace elements, such as calcium and phosphorus, in the body. However, under certain physiological or pathological conditions, the activity of osteoblasts and osteoclasts may change accordingly. When the two processes of bone metabolism are no longer balanced, bone tissue will exhibit corresponding changes, such as physiological growth, development, and aging or have pathological conditions, such as OP, osteomalacia, bone metastases, and others. Obese males often exhibit significant decreases in BMD, BV/TV, Tb.N, and Tb.Th (Kang et al., 2019; Kang et al., 2017). However, after exercise intervention, the adverse effects of obesity on bones can be mitigated. Kang et al. (Kang et al., 2017) subjected obese rats to 8 weeks of swimming training, and the micro-CT results showed significant increases in BMD, BV/TV, and Tb.N in the femur and tibia of obese rats after swimming. The results consistently demonstrate that exercise can alleviate bone loss caused by obesity regardless of treadmill running, voluntary wheel running, swimming, or ladder climbing resistance exercise (Styner et al., 2014; Kang et al., 2019; Shi et al., 2022; Yan et al., 2021). Our micro-CT, Masson staining, and bone fluorescence results demonstrate that obesity decreases bone mass and inhibits the rate of femoral bone formation in mice. However, aerobic treadmill exercise can increase the trend of bone formation in obese male mice. Additionally, the HE staining results of the femur in each group of mice show similar findings, that is, obese male mice have widened trabecular spaces and reduced trabecular bone. After aerobic exercise, the trabecular bone in obese male mice significantly increases. Furthermore, the serum bone formation marker ALP and the expression of osteogenic genes OPN and ALP mRNA as well as the OCN protein in the bone are significantly reduced. ALP is a classic early-stage marker of osteogenic differentiation. The increase in its activity indicates the differentiation commitment of progenitor cells toward the osteoblast lineage, reflecting the initial stage of bone matrix maturation (Nakamura et al., 2020). In contrast, OPN is regarded as a middle-to-late-stage marker of the osteogenic process. By analyzing the expression of OPN, we aim to evaluate the differentiation progress and functional maturation status of osteoblasts (Chen et al., 2014). However, 10 weeks of aerobic treadmill exercise can promote the expression of osteogenesis-related genes and proteins. After extracting BMSCs, mechanical stimulation was simulated in vitro. The RT-PCR results were consistent with the above findings, that is, in vitro stretching of obese mouse BMSCs could promote the expression of osteogenesis-related genes. The above results indicate that after treadmill exercise, bone mass increases, suggesting changes in bone metabolism levels, although the difference was not significant. The reasons may involve issues, such as exercise selection, sample and parameter choices, etc. This also suggests that we should consider these factors in our future research to further explore the relationship between exercise and the prevention of bone metabolism diseases caused by obesity.

TRACP staining and Masson’s trichrome staining results show that obesity induced by HFD tends to increase bone resorption indicators in mice, while aerobic treadmill exercise mitigates this trend. After aerobic exercise intervention, the expression of NFATC1 mRNA and the level of the ctsk protein in the tibia of obese male mice decreased significantly. Previous experimental results also showed that HFD upregulates bone resorption in mice, while treadmill exercise training can alleviate the expression of bone resorption (Cao and Picklo, 2015). Ca and P are essential minerals in the human body. They form the basic components of bones as phosphates and confer bones their appropriate strength. Only 1% of Ca is present in the blood. When the balance of Ca and P in the blood is disrupted, the body automatically mobilizes Ca and P stored in the skeletal system to regulate the balance (Blaine et al., 2015). This experiment found that blood Ca levels significantly increased in HFD mice and HFD + EX group mice. The elevated levels of CTX-1 in urine typically indicate increased rates of bone matrix degradation and bone resorption, which is common in diseases such as osteoporosis. In elderly individuals, a significant negative correlation was found between urinary CTX-1 concentration and the degree of obesity; obese patients had relatively lower levels of CTX-1 in their urine (Djafari et al., 2021). In this experiment, obesity significantly increased in urinary CTX-1 levels in mice. After extracting BMSCs, mechanical stimulation was simulated in vitro. The RT-PCR results were consistent with the above findings, namely, that in vitro stretching of obese male mice BMSCs could inhibit the expression of osteoclast-related genes. Hence, exercise can improve the function of osteoclasts induced by HFD in obese male mice and reduce bone resorption.

The classical WNT/β-catenin signaling pathway is one of the most conserved regulatory factors in evolution and plays a crucial role in regulating tissue development and maintaining homeostasis (Liu et al., 2022). Meanwhile, the Wnt/β-catenin signaling pathway is also a core regulator of bone metabolism. Studies have reported that the Wnt/β-catenin signaling pathway regulates the differentiation of MSCs into osteoclasts by inhibiting the adipogenic transcription factor C/EBPα and PPARγ, thereby playing a crucial role in the regulation of bone homeostasis. Additionally, the interaction between β-catenin and TCF (T-cell factor) proteins can upregulate the expression of OPG (Osteoprotegerin) in osteoclasts, which serves to block the differentiation of osteoclasts (Rodda and McMahon, 2006). In this study, RNA-seq, Western blot, and RT-PCR consistently confirmed that obesity induced by a high-fat diet significantly inhibited the Wnt/β-catenin signaling pathway in the tibia of mice, which was manifested by the downregulation of β-catenin and Ccn4. However, 10 weeks of aerobic treadmill exercise effectively reversed this inhibitory trend, as evidenced by the increased expression of β-catenin, Wif1, and Ccn4. We propose that the activation of skeletal Wnt signaling by exercise may be achieved through the synergistic effect of two aspects.

Exercise may safeguard the normal function of the Wnt pathway by improving the obesity-related systemic pathological environment. Obesity is a state of chronic inflammation, characterized by elevated levels of circulating inflammatory factors such as TNF-α and IL-6 (Hotamislig and il, 2006). These inflammatory factors are potent inhibitors of the Wnt pathway, as they can upregulate the expression of Wnt antagonists Dkk1 and sclerostin (Poole et al., 2005). Wannenes et al. (Wannenes et al., 2014).cultured osteoblasts by using serum from obese patients and found that the WNT pathway was inhibited, with its downstream target genes downregulated. When using palmitic acid (PA) to simulate high-fat-induced in vitro obesity state, the expression levels of WNT3a and β-catenin were significantly decreased in the PA group compared with those in the control group (Guo et al., 2022). This indicates that obesity itself directly inhibits the Wnt pathway. Therefore, we hypothesize that aerobic exercise, as an effective anti-inflammatory intervention (Pedersen and Saltin, 2015), may reduce the induction of Dkk1/sclerostin by lowering the inflammatory levels in the whole body and local bones, thereby indirectly relieving the inhibition on the Wnt pathway and enabling the recovery of β-catenin signaling. Although this study did not directly detect Sost, the observed change in the expression of Wif1 (another antagonist) in the exercise group suggests that the regulation of antagonists may be a core mechanism. Future studies that directly detect changes in the levels of inflammatory factors and Sost protein in serum and bone tissue after exercise will strongly validate this hypothesis.

The mechanical load exerted by exercise on bones may be a direct pathway. Bones are highly mechanically sensitive tissues, In clinical settings, strength training can upregulate the expression of WNT-related genes in the human body (Cardaci et al., 2020), and mechanical stimulation can directly inhibit the expression of Sost in osteocytes (Robling et al., 2008; Tu et al., 2012)while promoting the secretion of Wnt ligands by osteoblasts (Lawson et al., 2022). We detected changes in Ccn4 (WISP1). As a downstream target gene and secretory protein of the Wnt pathway, Ccn4 itself can enhance the differentiation and proliferation of osteoblasts and inhibit adipogenesis through autocrine/paracrine mechanisms (Zuo et al., 2010). Therefore, the upregulation of Ccn4 by exercise is not only a response to the activation of the Wnt pathway, but also likely constitutes a positive feedback loop itself, which further amplifies the osteogenic effect of exercise.In summary, under the state of obesity induced by a high-fat diet, factors such as chronic inflammation lead to the inhibition of the Wnt pathway and a reduction in bone formation. On one hand, aerobic treadmill exercise reduces the inhibition of the pathway through its systemic anti-inflammatory effect. On the other hand, it directly activates the pathway via local mechanical load. These two forces act together to reverse the obesity-induced inhibition of the Wnt/β-catenin signal, ultimately leading to favorable outcomes including enhanced osteoblast activity and suppressed osteoclast formation, thereby improving bone metabolic homeostasis. This mechanism not only deepens our understanding of the role of exercise in protecting bones, but also provides a solid theoretical basis for using exercise as a non-pharmacological strategy to treat obesity-related.

This study conducted an endpoint assessment immediately after the completion of the 10-week intervention, which allowed us to demonstrate that exercise ultimately promotes bone formation and inhibits bone resorption. However, bone remodeling is a dynamic, multi-stage continuous process. It is well-known that mechanical loading stimulation on bones first triggers a transient activation of bone resorption, followed by sustained bone formation, and there may be an anabolic window period throughout this process. Due to the lack of dynamic observations at intermediate time points during the intervention (e.g., Week 2, Week 4, Week 6) in this study, we were unable to depict detailed kinetic curves of exercise-induced changes in bone metabolism markers (such as P1NP and CTX-1) or the expression of key factors in the Wnt pathway. Therefore, we cannot determine at which specific stage of the intervention exercise exerts its strongest effect, nor can we completely rule out the possibility of a transient increase in bone resorption that may occur in the early stage. Future studies, by performing longitudinal analyses at multiple time points, will be able to more accurately reveal the temporal mechanism of aerobic exercise against obesity-related bone loss and provide key data for optimizing the duration and frequency of exercise interventions, and future studies that use CT to assess the dynamic changes of adipose tissue will be of great value for comprehensively interpreting the interaction between lipid metabolism and bone health during exercise response.

This study demonstrated the connection between obesity and bone turnover. Obesity induced by HFD leads to decreased bone formation, increased bone resorption, and increased adipogenesis. Aerobic exercise, however, mitigates changes in bone structure. Our findings suggest that the impaired bone mass accumulation caused by obesity may be due to the inhibition of the WNT signaling pathway, and exercise intervention may restore its activity. The results provide a foundation for further exploration of the mechanisms of obesity-induced impaired bone mass accumulation. However, the mitigating effect of exercise on obesity-induced bone loss was not immediate. Therefore, in subsequent studies, different forms of exercise will be investigated, focusing on enhancing the WNT signaling pathway as an effective intervention to prevent or improve bone loss in obese patients.

Mini-abstract

This study reveals that 10 weeks of aerobic exercise improves the imbalance of glycolipid metabolism and bone metabolism in high-fat obese male mice by activating the WNT pathway and regulating adipokines, inhibits bone resorption and promotes bone formation, providing a basis for exercise intervention for obese-induced bone loss.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The animal study was approved by the Ethical Committee of School of Physical Education and Sports Science, South China Normal University on the Care and Use of Animal Subjects in Research (Approval Number: SCNU-SPT-2020-003). The study was conducted in accordance with the local legislation and institutional requirements.

Author contributions

YD: Data curation, Formal Analysis, Methodology, Validation, Writing – original draft, Writing – review and editing. GL: Methodology, Writing – review and editing. LmZ: Methodology, Writing – review and editing. HL: Methodology, Writing – review and editing. BG: Investigation, Supervision, Writing – review and editing. LnZ: Funding acquisition, Project administration, Supervision, Writing – review and editing.

Funding

The author(s) declare that financial support was received for the research and/or publication of this article. The work was supported by National Natural Science Foundation of China (82272608); Shanghai Oriental Talent Program Youth; Shanghai Key Laboratory of Human Performance (Shanghai University of sport) (11DZ2261100); Research and Innovation Grant for Graduate Students, Shanghai University of Sport (YJSCX-2023-036).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fcell.2025.1650496/full#supplementary-material

References

Almeida, M., Laurent, M. R., Dubois, V., Claessens, F., O'Brien, C. A., Bouillon, R., et al. (2017). Estrogens and androgens in skeletal physiology and pathophysiology. Physiol. Rev. 97, 135–187. doi:10.1152/physrev.00033.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

Apovian, C. M. (2016). Obesity: definition, comorbidities, causes, and burden. Am. J. Manag. care 22, s176–s185.

PubMed Abstract | Google Scholar

Beery, A. K., and Zucker, I. (2011). Sex bias in neuroscience and biomedical research. Neurosci. Biobehav. Rev. 35, 565–572. doi:10.1016/j.neubiorev.2010.07.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Blaine, J., Chonchol, M., and Levi, M. (2015). Renal control of calcium, phosphate, and magnesium homeostasis. Clin. J. Am. Soc. Nephrol. CJASN 10, 1257–1272. doi:10.2215/cjn.09750913

PubMed Abstract | CrossRef Full Text | Google Scholar

Blüher, M. (2019). Obesity: global epidemiology and pathogenesis. Nat. Rev. Endocrinol. 15, 288–298. doi:10.1038/s41574-019-0176-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Boudenot, A., Pallu, S., Uzbekov, R., Dolleans, E., Toumi, H., and Lespessailles, E. (2021). Free-fall landing and interval running have different effects on trabecular bone mass and microarchitecture, serum osteocalcin, biomechanical properties, SOST expression and on osteocyte-related characteristics. Appl. physiology, Nutr. metabolism 46, 1525–1534. doi:10.1139/apnm-2020-0683

PubMed Abstract | CrossRef Full Text | Google Scholar

Caballero, B. (2019). Humans against obesity: who will win? Adv. Nutr. Bethesda, Md 10, S4–s9. doi:10.1093/advances/nmy055

PubMed Abstract | CrossRef Full Text | Google Scholar

Cao, J. J., and Picklo, M. J. (2015). Involuntary wheel running improves but does not fully reverse the deterioration of bone structure of Obese rats despite decreasing adiposity. Calcif. tissue Int. 97, 145–155. doi:10.1007/s00223-015-9992-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Cardaci, T. D., Machek, S. B., Wilburn, D. T., Heileson, J. L., and Willoughby, D. S. (2020). High-load resistance exercise augments androgen Receptor-DNA binding and Wnt/β-Catenin signaling without increases in Serum/Muscle androgens or androgen receptor content. Nutrients 12, 3829. doi:10.3390/nu12123829

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Q., Shou, P., Zhang, L., Xu, C., Zheng, C., Han, Y., et al. (2014). An osteopontin-integrin interaction plays a critical role in directing adipogenesis and osteogenesis by mesenchymal stem cells. Stem cells Dayt. Ohio 32, 327–337. doi:10.1002/stem.1567

PubMed Abstract | CrossRef Full Text | Google Scholar

Chubak, J., Ulrich, C. M., Tworoger, S. S., Sorensen, B., Yasui, Y., Irwin, M. L., et al. (2006). Effect of exercise on bone mineral density and lean mass in postmenopausal women. Med. Sci. sports Exerc. 38, 1236–1244. doi:10.1249/01.mss.0000227308.11278.d7

PubMed Abstract | CrossRef Full Text | Google Scholar

Djafari, F., Eslahi, M., Zandi, N., Pazoki, B., Reza Amini, M., and Shab-Bidar, S. (2021). The inverse association of body adiposity index and bone health in the older adults: a report from a developing country. Int. J. Clin. Pract. 75, e14718. doi:10.1111/ijcp.14718

PubMed Abstract | CrossRef Full Text | Google Scholar

Felsenberg, D., and Boonen, S. (2005). The bone quality framework: determinants of bone strength and their interrelationships, and implications for osteoporosis management. Clin. Ther. 27, 1–11. doi:10.1016/j.clinthera.2004.12.020

PubMed Abstract | CrossRef Full Text | Google Scholar

Forte, Y. S., Renovato-Martins, M., and Barja-Fidalgo, C. (2023). Cellular and molecular mechanisms associating obesity to bone loss. Cells 12, 521. doi:10.3390/cells12040521

PubMed Abstract | CrossRef Full Text | Google Scholar

Gonnelli, S., Caffarelli, C., and Nuti, R. (2014). Obesity and fracture risk. Clin. cases mineral bone metabolism official J. Italian Soc. Osteoporos. Mineral Metabolism, Skeletal Dis. 11, 9–14. doi:10.11138/ccmbm/2014.11.1.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Gower, B. A., and Casazza, K. (2013). Divergent effects of obesity on bone health. J. Clin. Densitom. official J. Int. Soc. Clin. Densitom. 16, 450–454. doi:10.1016/j.jocd.2013.08.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, Z., Wu, Y., Zhu, L., Wang, Y., Wang, D., and Sun, X. (2021). PEX-168 improves insulin resistance, inflammatory response and adipokines in simple obese mice: a mechanistic exploration. BMC Endocr. Disord. 21, 245. doi:10.1186/s12902-021-00908-1

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, A., Li, K., Tian, H. C., Tao, B. L., Xiao, Q., and Jiang, D. M. (2022). FGF19 protects against obesity-induced bone loss by promoting osteogenic differentiation. Biomed. and Pharmacother. = Biomedecine and Pharmacother. 146, 112524. doi:10.1016/j.biopha.2021.112524

PubMed Abstract | CrossRef Full Text | Google Scholar

Hotamisligil, G. S. (2006). Inflammation and metabolic disorders. Nature 444, 860–867. doi:10.1038/nature05485

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, Y. S., Kim, S. H., and Kim, J. C. (2017). Effects of swimming exercise on high-fat diet-induced low bone mineral density and trabecular bone microstructure in rats. J. Exerc. Nutr. and Biochem. 21, 48–55. doi:10.20463/jenb.2016.0063

PubMed Abstract | CrossRef Full Text | Google Scholar

Kang, Y. S., Kim, J. C., Kim, J. S., and Kim, S. H. (2019). Effects of swimming exercise on serum irisin and bone FNDC5 in rat models of high-fat diet-induced osteoporosis. J. sports Sci. and Med. 18, 596–603.

PubMed Abstract | Google Scholar

Klein-Nulend, J., van der Plas, A., Semeins, C. M., Ajubi, N. E., Frangos, J. A., Nijweide, P. J., et al. (1995). Sensitivity of osteocytes to biomechanical stress in vitro. FASEB J. 9, 441–445. doi:10.1096/fasebj.9.5.7896017

PubMed Abstract | CrossRef Full Text | Google Scholar

Kleinert, M., Clemmensen, C., Hofmann, S. M., Moore, M. C., Renner, S., Woods, S. C., et al. (2018). Animal models of obesity and diabetes mellitus. Nat. Rev. Endocrinol. 14, 140–162. doi:10.1038/nrendo.2017.161

PubMed Abstract | CrossRef Full Text | Google Scholar

Lawson, L. A.-O., Brodt, M. D., Migotsky, N., Chermside-Scabbo, C. J., Palaniappan, R., and Silva, M. J. (2022). Osteoblast-Specific wnt secretion is required for skeletal homeostasis and loading-induced bone formation in adult mice. J. bone mineral Res. 37, 108–120. doi:10.1002/jbmr.4445

PubMed Abstract | CrossRef Full Text | Google Scholar

Liu, J., Xiao, Q., Xiao, J., Niu, C., Li, Y., Zhang, X., et al. (2022). Wnt/β-catenin signalling: function, biological mechanisms, and therapeutic opportunities. Signal Transduct. Target. Ther. 7, 3. doi:10.1038/s41392-021-00762-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Melville, K. M., Kelly, N. H., Khan, S. A., Schimenti, J. C., Ross, F. P., Main, R. P., et al. (2014). Female mice lacking estrogen receptor-alpha in osteoblasts have compromised bone mass and strength. J. bone mineral Res. 29, 370–379. doi:10.1002/jbmr.2082

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakamura, T., Nakamura-Takahashi, A., Kasahara, M., Yamaguchi, A., and Azuma, T. (2020). Tissue-nonspecific alkaline phosphatase promotes the osteogenic differentiation of osteoprogenitor cells. Biochem. biophysical Res. Commun. 524, 702–709. doi:10.1016/j.bbrc.2020.01.136

PubMed Abstract | CrossRef Full Text | Google Scholar

Nielson, C. M., Marshall, L. M., Adams, A. L., LeBlanc, E. S., Cawthon, P. M., Ensrud, K., et al. (2011). BMI and fracture risk in older men: the osteoporotic fractures in men study (MrOS). J. bone mineral Res. official J. Am. Soc. Bone Mineral Res. 26, 496–502. doi:10.1002/jbmr.235

PubMed Abstract | CrossRef Full Text | Google Scholar

Pedersen, B. K., and Saltin, B. (2015). Exercise as medicine - evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand. J. Med. and Sci. sports 25 (Suppl. 3), 1–72. doi:10.1111/sms.12581

PubMed Abstract | CrossRef Full Text | Google Scholar

Piñar-Gutierrez, A., García-Fontana, C., García-Fontana, B., and Muñoz-Torres, M. (2022). Obesity and bone health: a complex relationship. Int. J. Mol. Sci. 23, 8303. doi:10.3390/ijms23158303

PubMed Abstract | CrossRef Full Text | Google Scholar

Poole, K. E., van Bezooijen, R. L., Loveridge, N., Hamersma, H., Papapoulos, S. E., Löwik, C. W., et al. (2005). Sclerostin is a delayed secreted product of osteocytes that inhibits bone formation. FASEB J. 19, 1842–1844. doi:10.1096/fj.05-4221fje

PubMed Abstract | CrossRef Full Text | Google Scholar

Qiu, Y., Fernández-García, B., Lehmann, H. I., Li, G., Kroemer, G., López-Otín, C., et al. (2023). Exercise sustains the hallmarks of health. J. sport health Sci. 12, 8–35. doi:10.1016/j.jshs.2022.10.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Rinonapoli, G., Pace, V., Ruggiero, C., Ceccarini, P., Bisaccia, M., Meccariello, L., et al. (2021). Obesity and bone: a complex relationship. Int. J. Mol. Sci. 22, 13662. doi:10.3390/ijms222413662

PubMed Abstract | CrossRef Full Text | Google Scholar

Robling, A. G., Niziolek, P. J., Baldridge, L. A., Condon, K. W., Allen, M. R., Alam, I., et al. (2008). Mechanical stimulation of bone in vivo reduces osteocyte expression of sost/Sclerostin. J. Biol. Chem. 283, 5866–5875. doi:10.1074/jbc.M705092200

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodda, S. J., and McMahon, A. P. (2006). Distinct roles for hedgehog and canonical wnt signaling in specification, differentiation and maintenance of osteoblast progenitors. Dev. Camb. Engl. 133, 3231–3244. doi:10.1242/dev.02480

PubMed Abstract | CrossRef Full Text | Google Scholar

Sato, S., Basse, A. L., Schönke, M., Chen, S., Samad, M., Altıntaş, A., et al. (2019). Time of exercise specifies the impact on muscle metabolic pathways and systemic energy homeostasis. Cell metab. 30, 92–110.e4. doi:10.1016/j.cmet.2019.03.013

PubMed Abstract | CrossRef Full Text | Google Scholar

Schibler, U., Gotic, I., Saini, C., Gos, P., Curie, T., Emmenegger, Y., et al. (2015). Clock-talk: interactions between central and peripheral circadian oscillators in mammals. Cold Spring Harb. symposia quantitative Biol. 80, 223–232. doi:10.1101/sqb.2015.80.027490

PubMed Abstract | CrossRef Full Text | Google Scholar

Shapses, S. A., and Sukumar, D. (2012). Bone metabolism in obesity and weight loss. Annu. Rev. Nutr. 32, 287–309. doi:10.1146/annurev.nutr.012809.104655

PubMed Abstract | CrossRef Full Text | Google Scholar

Shi, Z., Wang, L., Luan, J., Yin, L., Ji, X., Zhang, W., et al. (2022). Exercise promotes bone marrow microenvironment by inhibiting adipsin in diet-induced Male obese mice. Nutrients 15, 19. doi:10.3390/nu15010019

PubMed Abstract | CrossRef Full Text | Google Scholar

Styner, M., Thompson, W. R., Galior, K., Uzer, G., Wu, X., Kadari, S., et al. (2014). Bone marrow fat accumulation accelerated by high fat diet is suppressed by exercise. Bone 64, 39–46. doi:10.1016/j.bone.2014.03.044

PubMed Abstract | CrossRef Full Text | Google Scholar

Thyfault, J. P., and Rector, R. S. (2020). Exercise combats hepatic steatosis: potential mechanisms and clinical implications. Diabetes 69, 517–524. doi:10.2337/dbi18-0043

PubMed Abstract | CrossRef Full Text | Google Scholar

Tu, X., Rhee, Y., Condon, K. W., Bivi, N., Allen, M. R., Dwyer, D., et al. (2012). Sost downregulation and local wnt signaling are required for the osteogenic response to mechanical loading. Bone 50, 209–217. doi:10.1016/j.bone.2011.10.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Wannenes, F., Papa, V., Greco, E. A., Fornari, R., Marocco, C., Baldari, C., et al. (2014). Abdominal fat and sarcopenia in women significantly alter osteoblasts homeostasis in vitro by a WNT/β -Catenin dependent mechanism. Int. J. Endocrinol. 2014, 278316. doi:10.1155/2014/278316

PubMed Abstract | CrossRef Full Text | Google Scholar

Wolff, G., and Esser, K. A. (2012). Scheduled exercise phase shifts the circadian clock in skeletal muscle. Med. Sci. sports Exerc. 44, 1663–1670. doi:10.1249/MSS.0b013e318255cf4c

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiong, J., and O'Brien, C. A. (2012). Osteocyte RANKL: new insights into the control of bone remodeling. J. bone mineral Res. 27, 499–505. doi:10.1002/jbmr.1547

CrossRef Full Text | Google Scholar

Yan, L., Nielsen, F. H., Sundaram, S., and Cao, J. (2021). Voluntary running of defined distances alters bone microstructure in C57BL/6 mice fed a high-fat diet. Appl. physiology, Nutr. metabolism = Physiologie appliquee, Nutr. metabolisme 46, 1337–1344. doi:10.1139/apnm-2021-0061

PubMed Abstract | CrossRef Full Text | Google Scholar

Yu, S., Tang, Q., Lu, X., Chen, G., Xie, M., Yang, J., et al. (2024). Time of exercise differentially impacts bone growth in mice. Nat. Metab. 6, 1036–1052. doi:10.1038/s42255-024-01057-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Zuo, G. W., Kohls, C. D., He, B. C., Chen, L., Zhang, W., Shi, Q., et al. (2010). The CCN proteins: important signaling mediators in stem cell differentiation and tumorigenesis. Histology Histopathol. 25, 795–806. doi:10.14670/HH-25.795

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: treadmill exercise, high-fat diet, obesity, bone mass, bone formation, bone resorption

Citation: Du Y, Liu G, Zhang L, Lin H, Gao B and Zhang L (2025) Effects of aerobic treadmill exercise on the bone turnover in obese male mice. Front. Cell Dev. Biol. 13:1650496. doi: 10.3389/fcell.2025.1650496

Received: 20 June 2025; Accepted: 21 October 2025;
Published: 06 November 2025.

Edited by:

Yan Chun Li, The University of Chicago, United States

Reviewed by:

José L Ferran, University of Murcia, Spain
Heng Qiu, The University of Hong Kong, Hong Kong SAR, China

Copyright © 2025 Du, Liu, Zhang, Lin, Gao and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Lingli Zhang, bGluZ2xpd2RjQDE2My5jb20=; Bo Gao, Z2FvYm9mbW11QGhvdG1haWwuY29t

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.