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Oxidative stress in branched-chain organic acidemias using thiol-disulfide homeostasis

  • Emine Göksoy EMAIL logo , Burcu Kumru Akın , Mehmet Keskin and Hakim Çelik
Published/Copyright: May 30, 2025

Abstract

Objectives

Branched-chain organic acidemias (OAs) are inherited metabolic disorders resulting from enzyme deficiencies in the catabolic pathway of branched-chain amino acids, which could lead to mitochondrial dysfunction and oxidative stress. This study aimed to evaluate oxidative stress in OA patients using thiol-disulfide homeostasis (TDH) parameters.

Methods

21 OA patients [methylmalonic acidemia (MMA), propionic acidemia (PA), and isovaleric acidemia] and 12 healthy controls participated in this study. TDH parameters such as native thiol, total thiol, and disulfide levels, in addition to Oxidative Stress Index, Total Antioxidant Status, and Total Oxidant Status were analyzed using spectrophotometry.

Results

The OA group had significantly lower native (p=0.004) and total thiol (p=0.006) levels compared to controls. When analyzing subgroups, native thiols were found to be lower in MMA (p=0.012) and in PA (p=0.008) with elevated disulfides in MMA (p=0.003) in comparison to both PA and controls. As compared to abnormal neurodevelopmental status, there was a statistically significant relationship with lower native thiols and a shift towards oxidative stress (p=0.004).

Conclusions

The parameters of the TDH are altered in patients with OA, especially in those with MMA and PA, indicating a significant level of oxidative stress. The neurodevelopmental outcome in OA may be exacerbated by this oxidative imbalance. The utilization of TDH as a biomarker may be a potential provider of oxidative status in OA patients and facilitate informing therapeutic strategies.


Corresponding author: Assistant Prof, Emine Göksoy, MD, Pediatric Metabolism Department, Cengiz Gokcek Children Hospital, Gaziantep, Türkiye, E-mail:
Permanent address: Emine Göksoy, Department of Pediatric, Division of Pediatric Metabolism, Adnan Menderes University, Faculty of Medicine, Aydın, Türkiye.

Acknowledgments

We sincerely thank our patients’ family for their cooperation and willingness to participate in this study.

  1. Research ethics: This study was designed in accordance with the current revision of the Helsinki declaration and was approved by the local Ethical Committee of Gaziantep University Faculty of Medicine (Date:12.04.2023; No:2022/450).

  2. Informed consent: Informed consent was obtained from all patients for being included in the study.

  3. Author contributions: Emine Goksoy: Writing – original draft, Writing – review & editing, Visualization, Validation, Supervision, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. Burcu Kumru Akın: Writing – review & editing, Methodology, Investigation, Formal analysis, Data curation. Mehmet Keskin: Methodology, Investigation, Formal analysis, Data curation. Hakim Çelik: Writing – review & editing, Supervision, Methodology, Investigation, Formal analysis, Data curation, Conceptualization.

  4. Use of Large Language Models, AI and Machine Learning Tools: ChatGPT (OpenAI) was used solely to improve the grammar and language of the manuscript. No content generation, data analysis, or interpretation was performed using AI tools.

  5. Conflict of interest: Authors state no conflict of interest.

  6. Research funding: This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

  7. Data availability: The data that support the findings of this study are available upon reasonable request from the corresponding author.

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Received: 2025-04-05
Accepted: 2025-05-21
Published Online: 2025-05-30
Published in Print: 2025-08-26

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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