1. Introduction
Sarcopenia is an age-related progressive disorder characterized by the accelerated loss of skeletal muscle mass, strength, and function, which significantly contributes to physical disability, frailty, falls, fractures, and increased mortality in the elderly population [
1]. With the global population aging rapidly, the burden of sarcopenia on healthcare systems continues to escalate [
2]. Epidemiological studies indicate that sarcopenia affects approximately 5–10% of the general population, with prevalence rates rising to 10–27% in adults aged over 60 years, and this prevalence is expected to increase markedly in the coming decades [
1,
3]. This makes the development of effective preventive and therapeutic strategies an urgent public health priority [
4]. Data from specific populations, such as Japanese older adults, have further confirmed the high prevalence and adverse outcomes of sarcopenia [
4].
The pathogenesis of sarcopenia is multifactorial, involving oxidative stress, mitochondrial dysfunction, chronic low-grade inflammation (“inflammaging”), an imbalance between protein synthesis and degradation, and impaired satellite cell regenerative capacity [
5]. Among these mechanisms, oxidative stress is considered a core driver of sarcopenia onset and progression [
6]. During aging, excessive accumulation of reactive oxygen species (ROS) from the mitochondrial respiratory chain in skeletal muscle overwhelms the endogenous antioxidant defense system, leading to lipid peroxidation, protein carbonylation, DNA damage, and activation of the ubiquitin–proteasome pathway and apoptotic signaling, ultimately resulting in myofiber atrophy and loss [
7,
8]. Moreover, ROS can activate pro-inflammatory pathways such as NF-κB and promote the release of pro-inflammatory cytokines, further exacerbating muscle catabolism [
6]. Therefore, alleviating oxidative stress and chronic inflammation through exogenous antioxidants and anti-inflammatory agents has emerged as an important strategy for sarcopenia prevention and treatment [
5]. A comprehensive review has also highlighted the central role of oxidative stress in human pathology and aging [
9].
The D-galactose-induced aging mouse model has been widely used to investigate sarcopenia, as it recapitulates key features of age-related muscle atrophy including oxidative stress, mitochondrial dysfunction, and protein homeostasis imbalance [
10]. It should be noted that the D-galactose model is an accelerated aging model primarily driven by oxidative stress and mitochondrial dysfunction, rather than a full recapitulation of naturally occurring geriatric sarcopenia. Nevertheless, this model reproduces key sarcopenic features including muscle mass loss, decreased grip strength, and myofiber atrophy, making it a widely accepted and practical tool for initial efficacy screening of nutritional interventions against age-related muscle decline. Rodent models have proven valuable for evaluating the effects of nutritional and non-nutritional interventions on skeletal muscle health during aging [
11]. Studies using this model have demonstrated that various nutritional interventions can significantly improve muscle mass, exercise endurance, and grip strength in aging mice [
10,
11]. Moreover, compared with intact proteins, peptides have been shown to possess higher absorption and utilization rates, which may make them a highly attractive nutritional intervention strategy for sarcopenia [
12,
13].
Leucine, one of the three branched-chain amino acids, is the most critical nutritional signaling molecule regulating skeletal muscle protein metabolism [
14]. Unlike other amino acids, leucine directly activates the mechanistic target of rapamycin complex 1 (mTORC1) signaling pathway, initiating muscle protein translation and synthesis by phosphorylating downstream effectors [
15,
16]. Elderly patients with sarcopenia often exhibit “anabolic resistance”—a blunted muscle protein synthetic response to amino acid and protein intake [
17]. Leucine supplementation can effectively overcome this resistance and enhance muscle protein synthesis [
14]. Clinical evidence supports this notion: a randomized controlled trial in elderly patients with chronic kidney disease showed that daily supplementation with leucine-enriched branched-chain amino acids for 12 weeks significantly increased lean muscle mass [
18]. Furthermore, a recent meta-analysis of ten randomized controlled trials found that older sarcopenic patients receiving leucine supplementation showed significant improvements in handgrip strength, appendicular skeletal muscle mass index, and gait speed [
19]. However, the capacity of leucine to exert beneficial therapeutic effects in older sarcopenic individuals may be limited when used alone without concurrent additional therapy [
20].
Broccoli (
Brassica oleracea var.
italica) is among the cruciferous vegetables richest in bioactive components, and its consumption has been associated with antioxidant, anticancer, antimicrobial, and anti-inflammatory activities [
21]. Plant-derived bioactive peptides exhibit anti-inflammatory, antioxidant, and immunomodulatory properties, making them promising candidates for therapeutic applications [
22,
23]. Notably, antimicrobial peptides derived from broccoli have been shown to target oxidative stress pathways and inflammatory mediators, suggesting that the anti-inflammatory and antioxidant activities of broccoli-derived compounds may be relevant for muscle health [
21]. More importantly, recent studies have demonstrated that plant-based bioactive compounds can prevent sarcopenia through multiple mechanisms, including anti-atrophy effects, oxidative damage prevention, enhanced myogenesis, and anti-inflammatory activity [
24,
25]. In particular, a comprehensive review on food-derived anti-sarcopenic peptides reported that these peptides mainly act by activating PI3K/Akt/mTOR and MAPK signaling pathways while inhibiting protein degradation pathways, providing a strong rationale for the use of plant-derived peptides in sarcopenia intervention [
21].
Given the multifactorial nature of sarcopenia, multimodal strategies that combine different nutritional interventions may offer greater therapeutic benefits than single-component approaches. Emerging evidence suggests that leucine supplementation, when combined with other nutrients, physical activity, or gut microbiota modulation, can enhance sarcopenia prevention and treatment beyond the effects of leucine alone [
26]. Furthermore, the gut–muscle axis has gained increasing attention as a key modulator of muscle health, integrating the effects of nutrition, microbiota, and inflammation in the aging process [
27]. Indeed, growing evidence underscores the need for multimodal interventions—combining optimized nutrition, exercise, and microbiota modulation—to maximize therapeutic benefits against sarcopenia [
28].
Despite the promising individual effects of BDP and leucine, their mechanisms of action are clearly complementary. BDP primarily act by mitigating oxidative damage to myofibers and inhibiting protein degradation pathways through antioxidant and anti-inflammatory effects, thereby exerting a “damage-reducing” protective effect. In contrast, leucine directly activates mTORC1 signaling and enhances muscle protein synthesis, representing a “synthesis-promoting” anabolic effect. Theoretically, combining the two may simultaneously target both the “anabolic” and “anti-catabolic” arms of muscle metabolism, producing stronger anti-sarcopenic effects. However, no study has systematically evaluated the combined effect of BDP and leucine on sarcopenia. The combination of nutritional strategies targeting complementary pathways may represent a more effective approach for the prevention and management of sarcopenia than single-component interventions.
Therefore, in this study, we employed a D-galactose-induced aging mouse model to investigate whether BDP and leucine, alone or in combination, can ameliorate sarcopenia. By comprehensively assessing muscle mass, strength, function, and underlying molecular mechanisms through transcriptomic sequencing and qPCR validation, this study aims to provide a novel nutritional intervention strategy for sarcopenia and to elucidate the enhanced mechanisms of combined BDP and leucine supplementation.
2. Material and Methods
2.1. Animals
Male C57BL/6 mice (aged six weeks, weighing 20 ± 1 g) were obtained from SPF Biotechnology Co., Ltd. (Beijing, China). Following acquisition, the animals underwent a one-week acclimatization period with unrestricted access to standard chow and water. The housing environment was strictly controlled with a 12 h light/dark cycle, a temperature of 22 ± 2 °C, relative humidity between 40 and 70%, illuminance of 15–20 Lux, and an atmospheric pressure of 45 Pa. Upon completion of the acclimatization phase, the mice were randomly assigned to five experimental groups (n = 6 per group, each mouse as one experimental unit; total 30 mice): a normal control group, a sarcopenia model group, a BDP treatment group, a leucine treatment group, and a combined BDP and leucine treatment group.
To establish the sarcopenia model, mice in all groups except the normal control received a daily intraperitoneal injection of D-galactose (500 mg/kg body weight; Cat. No. G0750, Sigma-Aldrich, Darmstadt, Germany). Concurrently, the control and model groups were administered normal saline via daily oral gavage. The treatment groups received daily oral gavages of either BDP (200 mg/kg/day), leucine (500 mg/kg/day), or a combination of both, at the same respective dosages [
29,
30,
31,
32]. The gavage volume was consistently maintained at 100 μL per mouse. The intervention period lasted 8 weeks, during which all animals had ad libitum access to food and water, and their body weights were recorded weekly.
At the conclusion of the 8-week intervention, body composition and behavioral assessments were conducted on the mice in an awake state. Following these evaluations, all animals were humanely anesthetized by intraperitoneal injection of ketamine (75 mg/kg) and thiazine (8 mg/kg) and then euthanized with cervical dislocation. Key skeletal muscles, specifically the gastrocnemius and tibialis anterior, were promptly dissected and weighed. The skeletal muscle index for each muscle was subsequently calculated as the muscle weight normalized to the final body weight. For further analysis, muscle tissue samples were divided; one portion was fixed in 4% formalin for subsequent histopathological examination, while the remaining tissue was immediately flash-frozen in liquid nitrogen and stored at −80 °C for future molecular analyses. All experimental procedures were conducted in strict accordance with the ethical guidelines for animal research and were formally approved by the Animal Experiment Ethics Committee of China Agricultural University (Approval No. AW22215202-5-02).
All methods were performed in accordance with the ARRIVE guidelines and the guidelines of the Animal Experiment Ethics Committee of China Agricultural University.
2.2. Analysis of Body Composition
After the 8-week intervention period, body composition of the mice was measured using a small animal magnetic resonance imaging analyzer (QMR23-060H-I, Niumag, Shanghai, China). Each mouse was first weighed, and the weight was entered into the system prior to placement into the scanner for measurement. Upon completion of the scan, body composition data, including lean mass, fat content, and free water content, were obtained for each mouse.
2.3. Grid Hanging Test
These mice were suspended on an inverted grid positioned 60 cm above a thick soft pad. Each mouse was placed in the center of the grid, which was then gently inverted so that the mouse hung head-down. The hanging duration was recorded from placement until the mouse fell off the grid. Each mouse was tested twice with an interval of more than 30 min between tests. Hanging times were recorded and scored according to established criteria. If a mouse fell off within 10 s, the test was immediately repeated to ensure accuracy. This test relies on the mouse’s innate fear of falling; therefore, testing was performed under naive conditions with a limited number of repetitions.
2.4. Grip Strength Test
Forelimb grip strength was assessed using an electronic grip strength meter (Beijing Zhongshidichuang Science and Technology Development Co., Ltd., Beijing, China). The elastic metal bar was fixed to the sensor, which was then activated and set to peak mode before being calibrated to zero. Each mouse was gently grasped by the mid-tail region and placed on the elastic metal bar, allowing the front and back paws to firmly grip the bar while the trunk was maintained horizontally parallel to the bar. The tail was pulled backward gently and steadily until the mouse could no longer maintain its grip and released the bar. The maximum grip force was automatically recorded by the device. Each mouse was subjected to three consecutive measurements, and the maximum value was used for statistical analysis.
2.5. Endurance Test
- (1)
Adaptation Phase
The treadmill’s (Beijing Zhongshidichuang Science and Technology Development Co., Ltd., Beijing, China) parameters during the adaptation phase are presented in
Table 1. The electrical stimulation current of the treadmill was set to 0.5 mA. A gradual training protocol was employed to acclimatize the mice to treadmill exercise. The adaptation was performed once daily for 2–3 days, with each session lasting approximately 10 min.
- (2)
Test Phase
The treadmill’s parameters during the test phase are presented in
Table 2. The electrical stimulation current remained consistent at 0.5 mA. Exhaustion was defined as the cessation of running for 10 s, with no further response to additional electrical and noise stimulation for another 10 s. The time to exhaustion was recorded for each mouse. The test was conducted once daily for 2–3 consecutive days.
2.6. Hematoxylin–Eosin (HE) Staining for GAS
To evaluate the effects of BDP and leucine, both individually and in combination, on muscle tissue improvement, this study conducted histological examinations using HE staining and an optical microscope. The gastrocnemius muscle (GAS) was fixed in 4% paraformaldehyde for more than 48 h, trimmed to an appropriate size, and dehydrated to prepare paraffin blocks. A paraffin slicer (RM2255, Leica, Wetzlar, Germany) was used to cut the tissue into consecutive 5 μm thick sections, which were then dried overnight in a 60 °C oven. The paraffin sections were stained using an HE staining kit (G1120, Solarbio, Beijing, China) and then observed under an optical microscope (CTR6, Leica, Wetzlar, Germany). ImageJ software (v1.8.0, National Institutes of Health, Bethesda, MD, USA) was used to calculate and analyze data such as muscle fiber width.
2.7. RNA Sequencing (RNA-Seq)
Total RNA was extracted from mouse skeletal muscle tissue using Trizol reagent (Cat. No. CW0580S, Cwbio Co., Ltd., Beijing, China). A total of 15 biologically independent samples were sequenced, including three replicates per group: control (CK1-3), model (MOD1-3), leucine (LEU1-3), BDP (BDP1-3), and combination (COM1-3). RNA concentration, RIN value, 28S/18S ratio and fragment integrity were detected using an Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA, USA); all samples had RIN ≥ 7.0 and 28S/18S ratio ≥ 1.8. mRNA was enriched using Oligo (dT) magnetic beads (Invitrogen, Thermo Fisher Scientific, Waltham, MA, USA) and fragmented under high temperature. Using the fragmented mRNA as a template, first-strand and second-strand cDNA were sequentially synthesized. End repair, A-tailing and ligation of sequencing adapters were performed, followed by PCR amplification to construct the transcriptome library. After quality inspection, the library was subjected to high-throughput sequencing on the Illumina HiSeq platform (Illumina Inc., San Diego, CA, USA) (paired-end 150 bp).
Raw sequencing data were processed with SOAPnuke software (v1.5.2) to remove reads containing adapters, reads with >10% unknown N bases, and low-quality reads (defined as reads in which >20% of bases had a quality value < 15). After filtering, an average of 45.6 million clean reads per sample were obtained, with an average clean read ratio of 93.8%. The average Q20 and Q30 values were 99.5% and 96.8%, respectively (detailed per-sample statistics are provided in
Table S1). Clean reads were mapped to the mouse reference genome using HISAT software (v0.1.6); the average mapping rate was 96.4%. Clean reads were aligned to the reference sequence using Bowtie2 software (v2.2.5), and gene and transcript expression levels were calculated using RSEM software (v1.2.12), with FPKM values as the quantitative indicator of gene expression. For downstream analyses, FPKM values were log2-transformed after adding a pseudocount of 1. Low-expression genes (mean FPKM < 1 across all samples) were filtered out before differential expression analysis.
Differentially expressed genes (DEGs) were screened using the PoissonDis algorithm with the criteria of false discovery rate (FDR) ≤ 0.001 and fold change ≥ 2 [
33]. Principal component analysis (PCA) was performed using the prcomp function in R (v4.2.0) on the log2(FPKM+1) expression matrix to assess overall sample clustering. Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed on the identified DEGs. Enrichment calculation was performed using the phyper function in R software (R Foundation for Statistical Computing, Vienna, Austria), with FDR ≤ 0.1 as the threshold for significant enrichment. The analytical results were visualized using ggplot2 software (v3.4.3).
The PCA plot is provided in
Figure S1. The complete list of DEGs for each comparison (|fold change| ≥ 2, FDR ≤ 0.001) is available in
Table S2. Raw RNA-seq data have been deposited in the Gene Expression Omnibus (GEO); the accession number will be provided upon acceptance.
2.8. Quantitative Real-Time PCR and Western Blot
In this study, total RNA from mouse muscles was extracted from frozen samples using the Trizol reagent. Reverse transcription was carried out using the HiScript III RT SuperMix (Cat. No. R323-01, Vazyme Biotech Co., Ltd., Nanjing, Jiangsu, China) kit from Nanjing Novalza Biotechnology to synthesize cDNA. Subsequently, real-time fluorescence quantitative PCR was performed using the aq Pro Universal SYBR qPCR Master Mix (Cat. No. Q712-02, Vazyme Biotech Co., Ltd., Nanjing, Jiangsu, China) kit from Nanjing Noventa Biotechnology. The detection was carried out using the Applied Biosystems StepOnePlus real-time fluorescence quantitative PCR instrument (Model 7500, Applied Biosystems, Thermo Fisher Scientific, Waltham, MA, USA) from Thermo Fisher Scientific (Waltham, MA, USA). The mRNA expression changes in the target gene were calculated by the 2
−ΔΔCt method. In this experiment, actin (
Actb) was used as the internal reference gene, and the expression levels of myogenic differentiation factor 1 (
Myod1), myogenin (
Myog), myocyte enhancer factor 2C (
Mef2c), tumor necrosis factor-α (
Tnf), myostatin (
Mstn), C-X-C motif chemokine ligand 10 (
Cxcl10), intercellular adhesion molecule 1 (
Icam-1), sirtuin 3 (
Sirt3) and apelin receptor (
Aplnr) were analyzed. The primers used in the experiment were synthesized by Shenzhen BGI Genomics Co., Ltd. (please refer to
Table S3).
For Western blot analysis, frozen skeletal muscle samples were collected and lysed in RIPA buffer containing PMSF (Beyotime Biotechnology, Shanghai, China) (RIPA:PMSF = 4:1, 200–400 μL). The tissue was homogenized on ice for 30 min, then centrifuged at 12,000 rpm for 15 min at 4 °C. The supernatant was collected, and the protein concentration was determined using a BCA assay kit (Beyotime Biotechnology, Shanghai, China).
Protein samples were mixed with loading buffer (at a 4:1 ratio and heated at 100 °C for 10 min. Following separation by SDS-PAGE (8–10%), proteins were transferred onto nitrocellulose membranes.
Membranes were blocked with 5% non-fat milk in TBST and then incubated overnight at 4 °C with primary antibodies at the indicated dilutions. After three washes with TBST, the membranes were incubated for 1 h with HRP-conjugated anti-rabbit IgG secondary antibody (Cat. No. 7074, Cell Signaling Technology (CST), Danvers, MA, USA).
Protein bands were visualized using enhanced chemiluminescence. The primary antibodies used were: anti-β-actin (66009-1-Ig, Proteintech, Rosemont, IL, USA),anti-MuRF1 (33973T, CST, Danvers, MA, USA), anti-Tnf-α (60291-1-Ig, Proteintech, Rosemont, IL, USA), anti-p-Erk (4370T, CST, Danvers, MA, USA), anti-Erk (4695T, CST, Danvers, MA, USA), anti-p-p70S6K (9205S, CST, Danvers, MA, USA), anti-p70S6K (9202S, CST, Danvers, MA, USA), and anti-mTOR (710216, Thermo Fisher, Waltham, MA, USA).
2.9. Preparation and Characterization of BDP
The BDP used in this study were prepared by enzymatic hydrolysis of broccoli seed protein. Briefly, broccoli seed protein was hydrolyzed using alcalase and flavourzyme, followed by ultrafiltration (3 kDa molecular weight cut off) to enrich the low molecular weight peptide fraction, and finally spray dried to obtain the final product. The batch used in this study (Lot No. 2025072010) is traceable. The Certificate of Analysis (COA) provided by the manufacturer showed that the peptide content was ≥99% (HPLC), protein content (dry basis) was 95.39%, and 98.85% of peptides had a molecular mass <1000 Da (HPLC size exclusion chromatography). The total nitrogen content was 15.87 g/100g (dry basis). Heavy metals (Pb, Cd, Hg, As) were below detection limits, and microbiological tests met food grade standards. (The key characteristics of the BDP used in this study are presented in
Table S4.)
2.10. Statistical Analysis
Histological data were quantified using ImageJ software. All statistical analyses were performed with GraphPad Prism (v9.3.0, GraphPad Software, San Diego, CA, USA) and R software (v4.2.0). Before parametric testing, data normality was assessed using the Shapiro–Wilk test, and homogeneity of variances was evaluated using Levene’s test. All datasets met the assumptions of normality and equal variances; therefore, parametric tests were applied throughout.
For comparisons involving more than two groups, one-way analysis of variance (ANOVA) followed by Tukey’s post hoc test was used. Tukey’s post hoc test controlled the family-wise error rate at α = 0.05 for all pairwise comparisons. For the two-factor experimental design (BDP × leucine), two-way ANOVA was performed to evaluate main effects and interaction in the assessments of skeletal muscle indexes, exercise behavioral indicators, and muscle fiber cross-sectional area (CAS). A p-value < 0.05 was considered statistically significant. All data are presented as mean ± standard deviation (SD).
Sample size justification: Based on pilot experiment data, the required sample size was calculated using GPower software (v3.1.9.7, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany), and we therefore chose 6 mice per group.
4. Discussion
Sarcopenia is a multifactorial geriatric syndrome characterized by progressive loss of muscle mass, strength, and function, which severely impairs the quality of life in the elderly and imposes a heavy burden on healthcare systems [
1,
2]. In this study, we established a D-galactose-induced aging mouse model that mimics key features of sarcopenia, including reduced lean mass, decreased grip strength, impaired endurance, and diminished myofiber cross-sectional area, consistent with previous reports [
21]. The successful model establishment allowed us to evaluate the anti-sarcopenic potential of broccoli-derived peptides (BDP) and leucine, alone or in combination.
Our primary finding is that both BDP and leucine supplementation significantly ameliorated muscle wasting and functional decline in sarcopenic mice, and notably, the combination of BDP and leucine produced superior effects across all parameters, including muscle mass, strength, and endurance. This superior effect aligns with the concept that multimodal nutritional strategies targeting complementary pathways may outperform single-component interventions [
26,
28].
Plant-derived bioactive peptides such as BDP possess anti-inflammatory and antioxidant properties [
21,
23], while leucine is well documented to promote protein synthesis via the mTORC1 pathway [
14,
15]. Although the mTOR pathway was not significantly enriched in the leucine group in our transcriptomic analysis, this is expected because mTOR signaling is primarily post-translationally regulated. Nevertheless, our Western blot analysis confirmed that the combination treatment significantly increased the
p-p70S6K/p70S6K ratio (
Figure 8D), supporting mTORC1 activation [
44]. The total mTOR level was also elevated (
Figure 8E), indicating increased mTOR protein expression.
Thus, leucine likely acts through multiple axes, including Apelin, and mTORC1 pathways. These findings suggest that the anti-sarcopenic mechanisms of leucine in the D-galactose-induced aging model may involve broader metabolic and regenerative signaling networks. Therefore, BDP is proposed to exert an “anti-catabolic” effect by mitigating oxidative damage and protein degradation, whereas leucine may act as a “pro-anabolic” regulator through multiple signaling axes. The combination simultaneously addresses both arms of muscle protein homeostasis, which likely underlies the observed additivity.
To dissect the molecular mechanisms, we performed transcriptomic analysis followed by GO and KEGG enrichment. GO analysis showed that BDP mainly influenced cell adhesion, immune system processes, and responses to stress, suggesting that its protective role involves maintaining the structural integrity of myofibers and modulating local inflammatory responses. These findings are in line with previous studies demonstrating that plant-derived peptides can alleviate muscle atrophy via anti-inflammatory and immunomodulatory mechanisms [
24,
25]. Recent reviews have also highlighted that harnessing immunomodulation represents a promising strategy to counteract sarcopenia, as age-related changes in immune function—including immune cell dynamics and chronic inflammation—are key drivers of disease progression [
46]. In contrast, leucine-regulated GO terms were dominated by oxidoreductase activity and cytokine activity, highlighting its role in redox balance and intercellular signaling.
KEGG pathway analysis provided further mechanistic insight. The BDP group was enriched in regulation of actin cytoskeleton, chemokine signaling, and TNF signaling pathways, consistent with the hypothesis that BDP preserves cytoskeletal stability and attenuates chronic low-grade inflammation in aged muscle. The leucine group exhibited enrichment in Apelin signaling, ECM-receptor interaction, and cardiac muscle contraction. The Apelin signaling pathway is known to promote mitochondrial biogenesis and fatty acid oxidation in skeletal muscle [
41], and the apelin/APJ system has been reported to activate PI3K/Akt to promote protein synthesis, suppress atrophy-related genes, and enhance regenerative capacity, while also modulating AMPK-mediated mitochondrial bioenergetics and NF-κB-driven inflammatory pathways [
47]. ECM-receptor interaction is essential for maintaining muscle structural integrity [
31]; dysregulation of the extracellular matrix can profoundly impair muscle mass and cross-sectional area, contributing to the onset of muscle atrophy [
48]. These results support that leucine contributes to muscle health not only through protein synthesis but also through energy metabolism and extracellular matrix remodeling.
The combination group uniquely enriched the MAPK signaling pathway, which was absent in either the BDP or leucine group alone (
Figure 6C). MAPK signaling is known to be a central regulator of cell proliferation, differentiation, and stress responses, and has been shown to play a critical role in skeletal muscle regeneration and metabolic adaptation [
34]. A recent comprehensive review confirmed that exercise-regulated MAPK signaling networks are essential for mitochondrial biogenesis and the adaptive responses of skeletal muscle to metabolic challenges [
35]. The unique enrichment of the MAPK pathway in the combination group suggests that BDP and leucine may contribute to stronger combined effects on muscle metabolism beyond their individual mechanisms. Additionally, the TNF signaling pathway, although also present in the BDP group, was further enriched in the combination group, suggesting an enhanced anti-inflammatory effect. The retention of Apelin signaling and C-type lectin receptor signaling in the combination group further is consistent with the multifaceted regulation of inflammation, immune modulation, and metabolic adaptation. However, these findings are correlational, and functional studies (e.g., using MAPK-specific inhibitors) are required to determine whether MAPK signaling is causally involved.
Our qPCR validation corroborated the transcriptomic results. The combination group significantly upregulated the myogenic regulatory factors
Myod1,
Myog, and
Mef2c, which are core transcription factors orchestrating skeletal muscle development and regeneration [
36]. Moreover, chronic inflammation markers
Tnf and
Cxcl10 were effectively suppressed by the combined treatment, aligning with the KEGG enrichment of TNF and chemokine signaling pathways and supporting the concept that “inflammaging” is a key driver of sarcopenia [
37]. The reduction in
Mstn expression further indicated an anti-catabolic effect. Consistently, the protein level of MuRF1, a well-validated marker of muscle atrophy [
45], was markedly reduced in the combination group (
Figure 8B). Intriguingly, the combination group significantly suppressed
Icam1 overexpression induced by D-galactose. While ICAM-1 is beneficial for muscle regeneration under acute injury [
42], its chronic upregulation in the context of sustained oxidative stress and inflammation may promote pathological immune cell infiltration and exacerbate muscle inflammation. Therefore, the marked downregulation of
Icam1 by the combined intervention likely reflects alleviation of chronic inflammatory stress rather than a loss of regenerative capacity.
Sirt3’s upregulation in the leucine and combination groups correlates with the GO term “oxidoreductase activity” and reflects improved mitochondrial redox homeostasis [
40], and a comprehensive sirtuin review confirms that SIRT3 plays a critical role in regulating skeletal muscle metabolism, including glucose uptake, fatty acid oxidation, mitochondrial dynamics, and autophagy regulation [
49].
Aplnr upregulation in the combination group mirrors the KEGG enrichment of the Apelin signaling pathway and, together with a landmark study by Vinel et al. [
41], supports the notion that restoring apelin/APJ signaling enhances muscle function through mitochondriogenesis and anti-inflammatory mechanisms.
Collectively, our results demonstrate that BDP and leucine, especially in combination, combat sarcopenia through a network of complementary pathways: promoting myogenesis (Myod1/Myog/Mef2c), reducing inflammation (Tnf/Cxcl10), inhibiting protein degradation (Mstn), attenuating excessive immune-adhesive signaling (downregulation of Icam1), improving mitochondrial redox balance (Sirt3), and activating energy metabolism (Aplnr). The unique enrichment of the MAPK pathway in the combination group suggests a potential distinction from single components, which warrants further investigation.
Compared with other combined nutritional interventions for sarcopenia, such as lactoferrin combined with creatine [
31] or CoQ10, our study is the first to demonstrate a stronger anti-sarcopenic effect between a plant-derived peptide and an amino acid. While those studies highlighted pathways like longevity regulation, focal adhesion, and ECM-receptor interaction, they also reported enrichment of mTOR/PI3K-Akt and insulin resistance pathways in the combination groups–pathways that were not enriched in our KEGG analysis. This disparity may reflect the distinct properties of plant-derived nutrients versus animal-derived nutrients. Nonetheless, the consistent observation that a combined nutritional strategy yields broader pathway enrichment and superior efficacy across studies supports the general principle of multimodal intervention.
We acknowledge that the D-galactose model used in this study is an accelerated aging model, and as discussed in the Limitations section, our findings should be translated to naturally occurring sarcopenia with caution.
Nevertheless, our protein-level evidence (
p-Erk, mTOR,
p-p70S6K, MuRF1) directly supports the multimodal anti-sarcopenic effect of BDP and leucine, consistent with studies showing that targeting MAPK and mTOR signaling pathways holds promise for sarcopenia intervention [
43,
44].
In conclusion, this study demonstrates that BDP and leucine treatment is more effective than either agent alone in ameliorating D-galactose-induced sarcopenia through complementary mechanisms: BDP primarily exerts anti-catabolic effects by attenuating oxidative damage and inflammatory signaling, while leucine enhances energy metabolism and mitochondrial redox balance through Apelin and oxidoreductase-related pathways. The combined intervention uniquely enriched the MAPK signaling pathway in transcriptomic analysis, suggesting a potential involvement of this pathway in the enhanced anti-sarcopenic effect. Nevertheless, functional validation is required to establish causality. Furthermore, our Western blot validation (
p-Erk, mTOR,
p-p70S6K, MuRF1) directly supports the suppression of excessive MAPK signaling and activation of anabolic pathways by the combination treatment [
43,
44]. These findings establish BDP combined with leucine as a potential multimodal nutritional strategy targeting the multifactorial pathogenesis of sarcopenia, and provide a rationale for developing plant-based, multi-component interventions against age-related muscle decline.