Skip to main content

Growth differentiation factor 15: a valuable biomarker for the diagnosis and prognosis of late-onset form of multiple Acyl-CoA dehydrogenation deficiency

Abstract

Background

Multiple acyl-CoA Dehydrogenation Deficiency (MADD) is a hereditary metabolic disorder affecting the metabolism of fatty acids, amino acids, and choline, typically presenting with fat accumulation and mitochondrial abnormalities in muscle pathology. Growth differentiation factor 15 (GDF15) is a stress-responsive cytokine implicated in energy metabolism. Therefore, this study aimed to assess the level of GDF15 in patients with late-onset MADD and to evaluate its potential as a reliable biomarker for diagnosing symptoms and determining the severity of late-onset MADD.

Methods

In this study, consecutive patients with MADD mitochondrial diseases were recruited from the Neuromuscular Center of Qilu Hospital, Shandong University, between April 2015 and October 2021. We measured serum GDF15 levels in patients with late-onset MADD and healthy controls. Additionally, we analyzed the messenger RNA(mRNA) expression of GDF15 and integrated stress response (ISR)-related factors, including CHOP, ATF5, and TRIB3, in the muscles.

Results

Serum GDF15 levels in patients with late-onset MADD were 18.8 times higher than those in healthy controls. GDF15 levels decreased as the disease progressed, and its elecated levels correlated with anorexia symptoms. The mRNA expression of GDF15 and ISR-related factors in the muscles was higher in patients with late-onset MADD than in controls.

Conclusion

GDF15 levels were significantly elevated in symptomatic patients with late-onset MADD, likely due to mitochondrial dysfunction activating the ISR pathway. These findings suggest that GDF15 is a valuable biomarker for monitoring disease severity and symptomatology in patients with late-onset MADD.

Background

Multiple acyl-CoA dehydrogenation deficiency (MADD) is an autosomal recessive genetic disorder characterized by disruptions in the metabolism of fatty acids, amino acids, and choline [1]. Clinically, MADD is classified into three types: type I (neonatal onset with congenital anomalies), type II (neonatal onset without congenital anomalies), and type III (late onset) [2]. Late-onset MADD is heterogeneous in both genetic and phenotypic manifestations. Common symptoms include muscle weakness, exercise intolerance, hepatomegaly, vomiting episodes, hypoglycemia, and metabolic acidosis, along with occasional rhabdomyolysis or severe sensory neuropathy in some cases.

The diagnosis of MADD is typically indicated by elevated levels of several acylcarnitine species in the blood and increased excretion of multiple organic acids in the urine, confirmed through the identification of biallelic pathogenic variants in the genes encoding electron transfer flavoprotein α(ETFA), electron transfer flavoprotein β(ETFB), or electron transfer flavoprotein dehydrogenase (ETFDH) [2]. Many cases of late-onset MADD, known as riboflavin-responsive MADD (RR-MADD) [3], are associated with mutations in ETFDH, which account for approximately 80% of RR-MADD cases, particularly prevalent in the Chinese population. The clinical phenotype and severity of late-onset MADD varies widely, ranging from mild weakness to severe quadriplegia and respiratory failure, with symptoms manifesting from infancy to adulthood.

Previous studies have suggested that RR-MADD development is influenced by both ETFDH mutations and disruptions in flavin adenine dinucleotide(FAD) homeostasis [3]. Except for the characteristic feature of fat accumulation, mitochondrial abnormalities, such as ragged red fibers (RRFs) and succinate dehydrogenase (SDH)-deficient fibers [4], are commonly observed in the muscle pathology of late-onset MADD. Additionally, mitochondrial dysfunction and oxidative stress dysregulation are believed to play key roles in the pathogenesis [1].

Growth differentiation factor 15 (GDF15) is a stress-responsive cytokine within the transforming growth factor beta (TGF-β) superfamily, playing roles in inflammation, metabolism, and cancer [5]. It is recognized as a key regulator of energy metabolism and is upregulated in response to mitochondrial dysfunction [6]. Additionally, GDF15 binds to the glial cell line-derived neurotrophic factor receptor alpha-like (GFRAL) receptor, which interacts with its tyrosine kinase coreceptor rearranged during transfection (RET) to initiate a signaling cascade that may activate various intracellular pathways [7]. The GDF15–GFRAL axis has been shown to regulate food intake, confer resistance to obesity, promote lipolysis in adipose tissue, and enhance insulin sensitivity [7,8,9]. Previous studies have suggested that elements of the cellular integrated stress response (ISR) are involved in regulating GDF15 expression [10], while the ISR can be triggered by mitochondrial dysfunction and oxidative stress.

However, no study has specifically examined GDF15 levels in late-onset MADD to date. Therefore, this study aimed to determine the concentration of GDF15 levels in late-onset MADD and assess its potential as a biomarker for evaluating disease symptoms and severity.

Methods

Participants

Consecutive patients with MADD and mitochondrial diseases (MDs) were recruited from the Neuromuscular Center of Qilu Hospital, Shandong University, between April 2015 and October 2021. Patients with MADD were diagnosed via muscle biopsy and confirmed to have ETFDH mutations, whereas those with MDs were diagnosed based on standard criteria for MD. Healthy controls were confirmed to be free of muscle-related diseases following comprehensive testing at our center. We collected clinical presentation and gene mutations of the patients with late-onset MADD, as shown in Table 1.

Table 1 Clinical presentation and gene mutations of the patients with MADD

Procedures

Serum GDF15 quantification by enzyme-linked immunosorbent assay (ELISA)

Blood samples from patients were centrifuged at 3000 rpm for 10 min, and the serum was immediately frozen at − 80 °C until analysis. Serum GDF15 levels were measured using a Human GDF-15 Quantikine ELISA Kit (Catalog #: DGD150, R&D Systems) according to the manufacturer’s protocol.

Western blot analysis

Western blot analysis was conducted on proteins extracted from muscle homogenates of patients using a monoclonal mouse anti-GDF15 antibody (G-5) (sc-377195, Santa Cruz Biotechnology), polyclonal rabbit anti- electron transfer flavoprotein-ubiquinone oxidoreductase (ETF-QO) antibody (11109-1-AP, Proteintech Group), and monoclonal mouse anti-β-actin antibody (66009-1-Ig, Proteintech Group). After incubation with the primary antibody, horseradish peroxidase-conjugated secondary antibodies were added. Protein bands were visualized using enhanced chemiluminescence and quantified using ImageJ software. The procedures for protein extraction, protein concentration measurements, and western blot analysis are well-documented in the literature.

Real-time quantitative PCR

After RNA extraction from the muscle homogenates of the patients, the concentration of total RNA was measured by spectrophotometry and reverse-transcribed using an RT-PCR kit (R323; Vazyme). Real-time quantitative PCR was conducted on ABI Prism 7900HT (Applied Biosystems) with SYBR® Green (Q711, Vazyme) as the fluorescent dye. The primers used for qRT-PCR are shown in the Supplementary Table 1. Amplification conditions were as follows: 95 °C for 30 s, followed by 40 cycles of 95 °C for 10 s and 60 °C for 30 s. Relative transcript abundance was analyzed using the 2−ΔΔCt method, with data normalized to glyceraldehyde-3-phosphate dehydrogenase (GAPDH). Melting curve analysis was performed after each experiment.

Statistical analysis

Data are presented as median values. Statistical analyses were performed using SPSS software. A two-tailed unpaired Student’s t-test was used for between-group comparisons, while a one-way analysis of variance (ANOVA) followed by Tukey’s post-hoc test was used for comparisons involving three or more groups. Statistical significance was set at P < 0.05. with significance levels indicated as follows: (*P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001).

Results

Serum GDF15 concentrations are significantly elevated in late-onset MADD patients

A total of 110 serum samples were analyzed, including 41 from patients with MADD, 46 from healthy controls, and 23 from patients with MD. Demographics of three study groups were shown in supplementary Tables 2 and clinicopathological characteristics of patients with MDs were shown in supplementary Table 3. Among the 41 patients with MADD, 33 samples were collected before the administration of Vitamin B2(VitB2), and 18 samples were obtained after more than 2 months of VitB2 supplementation. Pre- and post-treatment samples were obtained for 10 patients whose clinical detail variations of patients before and after treatment were shown in supplementary Table 4.

The median serum GDF15 concentration in untreated patients with MADD was 7045 pg/mL, significantly higher than that in patients with MDs (2384 pg/mL), and healthy controls (374 pg/mL) (Fig. 1A). After 2 months of VitB2 treatment, the MADD symptoms completely resolved, and serum GDF15 levels showed a marked decrease from 7094pg/mL pre-treatment and 1219 pg/mL post-treatment (Fig. 1B). Patients with MADD with anorexia had significantly higher GDF15 levels (8412pg/mL) than those without anorexia (5513 pg/mL) (Fig. 1C). Demographics of patients with or without anorexia were shown in supplementary Table 5.

Fig. 1
figure 1

Serum GDF15 concentrations in different groups. (A) Serum GDF15 concentrations in healthy controls, patients with MDs, and patients with MADD; (B) Serum GDF15 concentrations in 10 patients with MADD before treatment and after two months VitB2 treatment; (C) Serum GDF15 concentrations in MADD patients with or without anorexia or decreased appetite

mRNA expression of GDF15 and ISR related factors in muscle tissue are elevated in patients with MADD

The mRNA expression of GDF15 in frozen muscle tissue was significantly higher in patients with MADD than in healthy controls (Fig. 2A). Additionally, the mRNA levels of ATF5, CHOP and TRIB3, which are genes believed to be associated with GDF15 expression were markedly elevated in the muscle tissues of patients with MADD compared to healthy controls. ATF4 mRNA expression showed no significant difference between patients with MADD and healthy controls (Fig. 2B-E).

Fig. 2
figure 2

mRNA expression of GDF15 and ISR-related genes. (A) mRNA expression of GDF15 in patients with MADD and controls; (B) mRNA expression of ATF5 in patients with MADD and controls; (C) mRNA expression of TRIB3 in patients with MADD and controls; (D) mRNA expression of ATF4 in patients with MADD and controls; (E) mRNA expression of CHOP in patients with MADD and controls. *P < 0.05; ** P < 0.01; *** P < 0.001; **** P < 0.0001

Expression of GDF15 protein in patients with MADD is similar to that in the healthy controls

GDF15 protein levels in muscle tissues from patients with MADD were comparable to those in healthy controls. However, ETF-QO protein levels were significantly lower in patients with MADD than in healthy controls (Fig. 3A and B).

Fig. 3
figure 3

Western blot of GDF15 and ETF-QO in muscles. (A) Western blot analysis of GDF15 and ETF-QO protein levels in MADD patients and controls; (B) Quantification of GDF15 and ETF-QO were described. C1-3, control; P1-P9, patient. ** P < 0.01

Additional materials

Discussion

MADD is caused by variations in the genes encoding the electron transfer flavoprotein (ETF) or electron transfer flavoprotein-ubiquinone oxidoreductase (ETF-QO), both of which are essential for mitochondrial function [11]. A hallmark of MADD is the consistent increase in reactive oxygen species (ROS) [12], which leads to oxidative stress and activates compensatory mitochondrial quality control mechanisms to preserve mitochondrial function and maintain cellular viability [13, 14]. GDF15, a key regulator of systemic mitohormetic adaptation, plays a crucial role in energy redistribution during oxidative phosphorylation (OXPHOS) dysfunction [15]. Increased levels of GDF15 in mitochondrial diseases have been confirmed in the previous studies [16,17,18,19].

Consistent with these findings, our study revealed a significant increase in serum GDF15 levels in patients with late-onset MADD, with levels 18.8 times higher than those in healthy controls. Following VitB2 supplementation, a marked reduction in serum GDF15 levels was observed, accompanied by clinical symptoms improvement. Interestingly, GDF15 levels in patients with late-onset MADD were three times higher than those observed in mitochondrial diseases (MDs). This discrepancy may be attributed to the lipolytic effect of GDF15, a known mechanism underlying its role in metabolic regulation [15]. Since MADD is characterized by dysfunction in fatty acid metabolism, this lipolysis-promoting effect may inadvertently exacerbate fatty acid accumulation within tissues, potentially worsening the condition. Consequently, we hypothesized that the metabolic role of the GDF15–GFRAL pathway may have adverse effects on MADD.

Anorexia is a common clinical manifestation in patients with MADD, and GDF15 has been implicated in appetite suppression. Our comparative analysis demonstrated significantly higher GDF15 levels in patients with MADD with anorexia than in those without anorexia, suggesting that elevated GDF15 may contribute to the anorexia observed in these patients.

GDF15 functions as an endocrine signal synthesized by various cell types in response to the activation of ISR or other signaling pathways [10]. We hypothesized that the pronounced mitochondrial dysfunction in MADD triggers ISR activation, leading to elevated GDF15 expression. Specifically, GDF15 mRNA expression has been shown to be downstream of the ISR pathway, with molecules such as ATF4 and CHOP frequently implicated [10, 15, 20]. In our study, we observed elevated mRNA levels of ISR-related factors, including ATF5, CHOP, and TRIB3, in the muscle tissues of patients with MADD, while ATF4 expression remained unchanged. This discrepancy with previous studies [10, 21] could be explained by the potential inhibition of ATF4 expression due to elevated TRIB3 levels [22]; however, further research is required to elucidate the underlying mechanisms.

Despite the clear elevation in serum GDF15 levels and GDF15 mRNA expression in the muscle tissue of patients with MADD, no significant difference in GDF15 protein levels in muscle tissue was observed between patients with MADD and healthy controls. This finding aligns with the established role of GDF15 as a secreted protein, whose primary function involves interacting with GFRAL in the brainstem’s area postrema (AP) and the nucleus of the solitary tract (NTS) to regulate metabolic processes [23,24,25,26]. The majority of the GDF15 protein is secreted extracellularly, which likely explains the lower intracellular protein concentration compared to GDF15 mRNA expression levels.

GDF15 has been shown to be elevated to varying degrees during different physiological and pathophysiological conditions [27]. Previous literature has reported GDF-15 as a biomarker in cardiovascular disease, kidney disease, liver disease, metabolic syndrome, diabetes mellitus, and sepsis [5]. Based on the above results, while elevated GDF15 in patients with MADD can be distinguished from healthy controls, it does not have a high diagnostic specificity. However, when analyzed in a specific disease context, elevated GDF15 in late-onset MADD patients with a relatively clean clinical background can serve as a powerful indicator to assist in the disease diagnosis, and be used as a monitoring indicator in follow-up assessment to evaluate disease recovery. For patients with confirmed late-onset MADD, monitoring changes in GDF15 levels is also meaningful to predicting disease recurrence.

This study has some limitations. Firstly, the available patient tissues were limited to muscle and serum, making it challenging to determine whether serum GDF15 primarily originates from muscle or other tissues. Given that the muscle is a highly energy-demanding organ and that muscle weakness is a predominant symptom in late-onset MADD, it is plausible that mitochondrial dysfunction in the muscle plays a central role in triggering ISR and upregulating GDF15 expression. Therefore, further studies using appropriate animal models could help clarify this issue. Lastly, the precise effects of GDF15 on MADD remain unclear, and further investigation is required to elucidate its exact mechanisms.

Conclusions

Our study provides novel evidence of significantly elevated of GDF15 levels in patients with late-onset MADD, suggesting that GDF15 serve as a valuable biomarker for assessing disease progression and severity. This elevation is likely associated with the activation of ISR, driven by mitochondrial dysfunction in MADD. Future studies are warranted to further investigate the role of GDF15 and its metabolic implications in MADD.

Data availability

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

MADD:

Multiple Acyl-CoA Dehydrogenation Deficiency

RR-MADD:

riboflavin-responsive MADD

GDF15:

Growth differentiation factor 15

ISR:

Integrated Stress Response

ETFA:

electron transfer flavoproteinα

ETFB:

electron transfer flavoproteinβ

ETFDH:

electron transfer flavoprotein dehydrogenase

RRFs:

ragged red fibers

SDH:

succinate dehydrogenase

TGF-β:

transforming growth factor beta

GFRAL:

glial cell line-derived neurotrophic factor receptor alpha-like

RET:

Rearranged during Transfection

MDs:

mitochondrial diseases

ELISA:

Enzyme-linked immunosorbent assay

ETF-QO:

Electron transfer flavoprotein: ubiqionone oxidoreductase

GAPDH:

Glyceraldehyde-3-phosphate dehydrogenase

ANOVA:

Analysis of Variance

ATF5:

Activating transcription factor 5

CHOP:

C/EBP homologous protein

TRIB3:

Tribbles Pseudokinase 3

ATF4:

Activating transcription factor 4

OXPHOS:

oxidative phosphorylation

AP:

area postrema

NTS:

nucleus of the solitary tract

CK:

creatine kinase

LDH:

lactate dehydrogenase

HCY:

homocysteine

ROS:

reactive oxygen species

References

  1. Cornelius N, Corydon TJ, Gregersen N, Olsen RK. Cellular consequences of oxidative stress in riboflavin responsive multiple acyl-CoA dehydrogenation deficiency patient fibroblasts. Hum Mol Genet. 2014;23(16):4285–301.

    CAS  PubMed  Google Scholar 

  2. Prasun P et al. Multiple Acyl-CoA Dehydrogenase Deficiency. In: Adam MP, Ardinger HH, Pagon RA, Wallace SE, Bean LJH, Mirzaa G, editors. GeneReviews((R)). Seattle (WA)1993.

  3. Xu J, Li D, Lv J, Xu X, Wen B, Lin P, et al. ETFDH mutations and flavin adenine dinucleotide homeostasis disturbance are essential for developing Riboflavin-Responsive multiple Acyl-Coenzyme A dehydrogenation deficiency. Ann Neurol. 2018;84(5):659–73.

    CAS  PubMed  Google Scholar 

  4. Han J, Lu S, Song X, Ji G, Xie Y, Wu H. The clinical, pathological, and genetic characteristics of lipid storage myopathy in Northern China. Turk J Med Sci. 2022;52(4):1256–65.

    PubMed  PubMed Central  Google Scholar 

  5. Desmedt S, Desmedt V, De Vos L, Delanghe JR, Speeckaert R, Speeckaert MM. Growth differentiation factor 15: A novel biomarker with high clinical potential. Crit Rev Clin Lab Sci. 2019;56(5):333–50.

    PubMed  Google Scholar 

  6. Chang JY, Hong HJ, Kang SG, Kim JT, Zhang BY, Shong M. The role of growth differentiation factor 15 in energy metabolism. Diabetes Metab J. 2020;44(3):363–71.

    PubMed  PubMed Central  Google Scholar 

  7. Laurens C, Parmar A, Murphy E, Carper D, Lair B, Maes P et al. Growth and differentiation factor 15 is secreted by skeletal muscle during exercise and promotes lipolysis in humans. JCI Insight. 2020;5(6).

  8. Johann K, Kleinert M, Klaus S. The role of GDF15 as a myomitokine. Cells. 2021;10(11).

  9. Baek SJ, Eling T. Growth differentiation factor 15 (GDF15): A survival protein with therapeutic potential in metabolic diseases. Pharmacol Ther. 2019;198:46–58.

    CAS  PubMed  PubMed Central  Google Scholar 

  10. Patel S, Alvarez-Guaita A, Melvin A, Rimmington D, Dattilo A, Miedzybrodzka EL, et al. GDF15 provides an endocrine signal of nutritional stress in mice and humans. Cell Metab. 2019;29(3):707–18. e8.

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Ghisla S, Thorpe C. Acyl-CoA dehydrogenases. A mechanistic overview. Eur J Biochem. 2004;271(3):494–508.

    CAS  PubMed  Google Scholar 

  12. Cornelius N, Byron C, Hargreaves I, Guerra PF, Furdek AK, Land J, et al. Secondary coenzyme Q10 deficiency and oxidative stress in cultured fibroblasts from patients with riboflavin responsive multiple Acyl-CoA dehydrogenation deficiency. Hum Mol Genet. 2013;22(19):3819–27.

    CAS  PubMed  Google Scholar 

  13. Echtay KS. Mitochondrial uncoupling proteins–what is their physiological role? Free Radic Biol Med. 2007;43(10):1351–71.

    CAS  PubMed  Google Scholar 

  14. Fischer F, Hamann A, Osiewacz HD. Mitochondrial quality control: an integrated network of pathways. Trends Biochem Sci. 2012;37(7):284–92.

    CAS  PubMed  Google Scholar 

  15. Chung HK, Ryu D, Kim KS, Chang JY, Kim YK, Yi HS, et al. Growth differentiation factor 15 is a myomitokine governing systemic energy homeostasis. J Cell Biol. 2017;216(1):149–65.

    CAS  PubMed  PubMed Central  Google Scholar 

  16. Ji X, Zhao L, Ji K, Zhao Y, Li W, Zhang R, et al. Growth differentiation factor 15 is a novel diagnostic biomarker of mitochondrial diseases. Mol Neurobiol. 2017;54(10):8110–6.

    CAS  PubMed  Google Scholar 

  17. Kalko SG, Paco S, Jou C, Rodriguez MA, Meznaric M, Rogac M, et al. Transcriptomic profiling of TK2 deficient human skeletal muscle suggests a role for the p53 signalling pathway and identifies growth and differentiation factor-15 as a potential novel biomarker for mitochondrial myopathies. BMC Genomics. 2014;15:91.

    PubMed  PubMed Central  Google Scholar 

  18. Yatsuga S, Fujita Y, Ishii A, Fukumoto Y, Arahata H, Kakuma T, et al. Growth differentiation factor 15 as a useful biomarker for mitochondrial disorders. Ann Neurol. 2015;78(5):814–23.

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Poulsen NS, Madsen KL, Hornsyld TM, Eisum AV, Fornander F, Buch AE, et al. Growth and differentiation factor 15 as a biomarker for mitochondrial myopathy. Mitochondrion. 2020;50:35–41.

    CAS  PubMed  Google Scholar 

  20. Li D, Zhang H, Zhong Y. Hepatic GDF15 is regulated by CHOP of the unfolded protein response and alleviates NAFLD progression in obese mice. Biochem Biophys Res Commun. 2018;498(3):388–94.

    CAS  PubMed  Google Scholar 

  21. Breit SN, Brown DA, Tsai VW. The GDF15-GFRAL pathway in health and metabolic disease: friend or foe?? Annu Rev Physiol. 2021;83:127–51.

    CAS  PubMed  Google Scholar 

  22. Bowers AJ, Scully S, Boylan JF. SKIP3, a novel Drosophila tribbles ortholog, is overexpressed in human tumors and is regulated by hypoxia. Oncogene. 2003;22(18):2823–35.

    CAS  PubMed  Google Scholar 

  23. Yang L, Chang CC, Sun Z, Madsen D, Zhu H, Padkjaer SB, et al. GFRAL is the receptor for GDF15 and is required for the anti-obesity effects of the ligand. Nat Med. 2017;23(10):1158–66.

    CAS  PubMed  Google Scholar 

  24. Mullican SE, Lin-Schmidt X, Chin CN, Chavez JA, Furman JL, Armstrong AA, et al. GFRAL is the receptor for GDF15 and the ligand promotes weight loss in mice and nonhuman primates. Nat Med. 2017;23(10):1150–7.

    CAS  PubMed  Google Scholar 

  25. Emmerson PJ, Wang F, Du Y, Liu Q, Pickard RT, Gonciarz MD, et al. The metabolic effects of GDF15 are mediated by the orphan receptor GFRAL. Nat Med. 2017;23(10):1215–9.

    CAS  PubMed  Google Scholar 

  26. Hsu JY, Crawley S, Chen M, Ayupova DA, Lindhout DA, Higbee J, et al. Non-homeostatic body weight regulation through a brainstem-restricted receptor for GDF15. Nature. 2017;550(7675):255–9.

    PubMed  Google Scholar 

  27. Sigvardsen CM, Richter MM, Engelbeen S, Kleinert M, Richter EA. GDF15 is still a mystery hormone. Trends Endocrinol Metab. 2024.

Download references

Acknowledgements

We would like to thank all the patients who participated in the study.

Funding

This research was sponsored by Qingdao Clinical Research Center for Rare Diseases of the Nervous System (22-3-7-lczx-3-nsh) and National Natural Science Foundation of China (No.82171394), Key R&D Program of Shandong Province (2022ZLGX03) and the Taishan Scholar Special Foundation of Shandong Province (No.tsqn202408341).

Author information

Authors and Affiliations

Authors

Contributions

SY performed the experiments and was a major contributor in writing the manuscript. TS analyzed and interpreted the patient data. WB and XJ collected the clinical and gene materials of the patients. LB and ZB revised the manuscript. JK and YC contributed to the design of the work and revised the manuscript finally. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Ji Kunqian or Yan Chuanzhu.

Ethics declarations

Ethics statement

This study was approved by the Qilu Hospital Institutional Ethics Committee

Consent for publication

Written informed consent for publication was obtained from all subjects involved in the study.

Conflict of interest

The authors declare no conflicts of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

13023_2025_3651_MOESM1_ESM.jpeg

Supplementary Material 1: Description of data: Supplementary Fig.1. Western blot of GDF15 in muscles. We switched to a monoclonal rabbit anti-GDF15 antibody (ZRB2590, Sigma-Aldrich) and performed Western blot again

13023_2025_3651_MOESM2_ESM.docx

Supplementary Material 2: Description of data: Supplementary Table 1. The primers used for qRT-PCR. Supplementary Table 2. Demographics of three study groups. Supplementary Table 3. Clinicopathological characteristics of patients with MDs. Supplementary Table 4. Clinical detail variations of patients before and after treatment. Supplementary Table 5. Demographics of patients with or without anorexia

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yuan, S., Shuyao, T., Jingwei, L. et al. Growth differentiation factor 15: a valuable biomarker for the diagnosis and prognosis of late-onset form of multiple Acyl-CoA dehydrogenation deficiency. Orphanet J Rare Dis 20, 159 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13023-025-03651-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s13023-025-03651-1

Keywords