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All Journal Sriwijaya Journal of Surgery Sriwijaya Journal of Neurology
Linda Purnama
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Biochemistry, Genetics & Molecular Biology Dentistry Health Professions Medicine & Pharmacology Neuroscience

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Gut-Brain Axis Dysfunction in Parkinson's Disease: Early Biomarkers and Therapeutic Potential in Jakarta, Indonesia Zahra Amir; Wisnu Wardhana Putra; Linda Purnama; Saurie Hernandez; Adolfo Rawlings; Immanuel Simbolon
Sriwijaya Journal of Neurology Vol. 1 No. 2 (2023): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i1.27

Abstract

Introduction: Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms. Increasing evidence suggests a crucial role of gut-brain axis dysfunction in PD pathogenesis. This study aimed to investigate the gut microbiome composition, identify potential early biomarkers, and explore the therapeutic potential of targeting the gut-brain axis in PD patients in Jakarta, Indonesia. Methods: This cross-sectional study involved 50 PD patients and 50 age-matched healthy controls from Jakarta. Stool and blood samples were collected for 16S rRNA gene sequencing to analyze gut microbiome composition, and serum inflammatory markers (TNF-α, IL-6, and CRP) were measured using ELISA. Clinical data, including disease duration, severity, and non-motor symptoms, were assessed using standardized scales. Results: PD patients exhibited significant alterations in gut microbiome composition compared to controls, with a decrease in beneficial bacteria (e.g., Faecalibacterium prausnitzii) and an increase in pro-inflammatory bacteria (e.g., Enterobacteriaceae). Elevated levels of serum inflammatory markers were also observed in PD patients. Correlation analysis revealed associations between specific gut microbiota, inflammatory markers, and disease severity. Conclusion: This study provides evidence of gut-brain axis dysfunction in PD patients in Jakarta, Indonesia. Alterations in gut microbiome composition and increased systemic inflammation may serve as potential early biomarkers and therapeutic targets for PD. Further research is needed to explore the causal relationship and develop targeted interventions.
Artificial Intelligence for Early Detection of Motor Neuron Disease Using Gait Analysis and Speech Patterns in Pekanbaru, Indonesia Sari Sulistyoningsih; Louisa Istarini; Dedi Sucipto; Serena Jackson; Agnes Mariska; Linda Purnama; Imanuel Simbolon
Sriwijaya Journal of Neurology Vol. 1 No. 2 (2023): Sriwijaya Journal of Neurology
Publisher : Phlox Institute: Indonesian Medical Research Organization

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59345/sjn.v1i1.28

Abstract

Introduction: Motor neuron disease (MND) is a devastating neurodegenerative disorder characterized by progressive muscle weakness, atrophy, and ultimately, paralysis. This study investigated the potential of artificial intelligence (AI) to detect MND in its early stages using gait analysis and speech pattern recognition in a population in Pekanbaru, Indonesia. Methods: A cross-sectional study was conducted at the Neurology Department of a tertiary referral hospital in Pekanbaru, Indonesia. A total of 150 participants aged 40-75 years were recruited and categorized into three groups. Gait analysis was performed using wearable sensors to collect data on stride length, cadence, swing time, stance time, and gait variability. Machine learning algorithms, including support vector machines (SVM), random forest (RF), and deep learning models like convolutional neural networks (CNN), were trained on the combined gait and speech data to classify participants into the three groups. Results: Significant differences were observed in gait parameters between the MND group and the other two groups. Individuals with MND exhibited shorter stride length (p<0.001), slower cadence (p<0.001), increased swing time variability (p=0.002), and reduced stance time (p=0.003). Speech analysis revealed distinct patterns in the MND group, including reduced speech rate (p<0.001), increased pause duration (p=0.004), and decreased vocal intensity (p=0.001). The AI models, particularly the CNN model, demonstrated high accuracy in differentiating individuals with MND from healthy controls and those with other neurological conditions. The CNN model achieved an accuracy of 94.7%, sensitivity of 92%, specificity of 96%, and an area under the receiver operating characteristic curve (AUC) of 0.98. Conclusion: AI-powered gait analysis and speech pattern recognition show promise as a non-invasive and cost-effective tool for the early detection of MND in Pekanbaru, Indonesia. This technology has the potential to improve diagnostic accuracy and facilitate timely intervention, ultimately enhancing the quality of life for individuals with MND.
Activated Growth Factors (AGF), an Advanced Platelet-Rich Plasma (PRP) Modality, as a Novel Biological Treatment for Partial Anterior Cruciate Ligament Tears: A Case Report Hidayat, Rachmat; Kemas Abdul Mutholib Luthfi; Olivia Azalia Putri; Sony Sanjaya; Linda Purnama; Sonya Syarifah; Nadia Khoirina; Abu Bakar; Rashidah Unaib Al Zayid; Reisha Notonegoro
Sriwijaya Journal of Surgery Vol. 8 No. 1 (2025): Sriwijaya Journal of Surgery
Publisher : Surgery Department, Faculty of Medicine Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/sjs.v8i1.114

Abstract

Introduction: Partial anterior cruciate ligament (ACL) ruptures present a complex clinical challenge. Traditional treatment options, including conservative management and surgical reconstruction, often yield unpredictable outcomes and extended recovery periods. This case report explores the potential of activated growth factors (AGF), an advanced platelet-rich plasma (PRP) modality, as a novel biological treatment strategy for partial ACL tears. Case presentation: A 39-year-old male presented with right knee pain and instability following a twisting injury sustained during exercise. Magnetic resonance imaging (MRI) confirmed a partial tear of the anteromedial bundle of the ACL. The patient was treated with a series of three intra-articular injections of AGF, administered at weekly intervals. The AGF was prepared using a proprietary protocol aimed at optimizing growth factor concentration and release. The patient's progress was meticulously monitored through clinical evaluations and functional assessments at 3 and 6 months post-treatment. Conclusion: This case suggests that AGF may offer a promising alternative for the treatment of partial ACL tears, potentially facilitating accelerated healing and improved clinical outcomes. Further research, including controlled trials, is warranted to validate these findings and establish the efficacy and safety of AGF in a larger patient population.
Co-Authors Abu Bakar Adolfo Rawlings Agnes Mariska Dedi Sucipto Imanuel Simbolon Immanuel Simbolon Kemas Abdul Mutholib Luthfi Louisa Istarini Nadia Khoirina Olivia Azalia Putri RACHMAT HIDAYAT Rashidah Unaib Al Zayid Reisha Notonegoro Sari Sulistyoningsih Saurie Hernandez Serena Jackson Sony Sanjaya Sonya Syarifah Wisnu Wardhana Putra Zahra Amir