ACADEMIC STAFF (IP)

Asst. Prof. Dr. Ioannis Papadimitriou​

E-mail: ioannis.pap@mahidol.ac.th, (66)-2201-5517

Education​

Research Interests​

1. UN SDG ที่เกี่ยวข้อง : SDG 3 (Good Health and Well-Being) สรุปผลงานวิจัยเรื่อง "Employing emerging technologies such as motion capture to study the complex interplay between genotype and power-related performance traits" สรุปโดยสังเขปว่ามีเนื้อหาเกี่ยวกับ : Exercise genomics has progressed alongside advancements in molecular genetic technologies, enhancing our understanding of the associations between genes and performance traits. This emerging field incorporates techniques and tools from epidemiology, molecular genetics, exercise physiology, and biostatistics, allowing researchers to investigate the complex interplay between genotype and specific quantitative performance traits, such as muscle power output. However, there is a gap in understanding polygenic scores and inherited traits underpinning muscle power and torque production in certain joints, and their impact on various power-related outcomes during explosive body movements. This study aims to illustrate how interdisciplinary training can ensure the effective use of motion capture to examine the influence of genetic and epigenetic factors on power-related quantitative performance traits. The acquired knowledge will likely have significant implications for the field of genetic engineering, particularly in gene therapy to combat age-related muscle power decline, and advancements in exercise and rehabilitation program design.

2. UN SDG ที่เกี่ยวข้อง : SDG 3 (Good Health and Well-Being) สรุปผลงานวิจัยเรื่อง "A 38-plex PCR MALDI-TOF MS-based assay to detect SNPs common in elite athletes" สรุปโดยสังเขปว่ามีเนื้อหาเกี่ยวกับ : This study aimed to combine multiplex polymerase chain reaction (PCR) with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), for the identification of 38 single nucleotide polymorphisms (SNPs) commonly found in elite athletes, while evaluating the method’s performance and high-throughput capabilities by analyzing quantitative metrics such as call rates and error rates in forty-six (n=46) healthy male Thais. The blood (200 μl) was collected from the participants using spring loaded lancets with glass capillary tubes and stored in EDTA tubes at 5 Co for a maximum of 3 days prior to DNA extraction. The DNA was isolated from white blood cells using bead-based DNA separation methods. The 38 SNPs were selected due to their high incidence in elite power athletes, their potential impact on muscular power production, and their compatibility with multiplex PCR amplification. The approach concurrently identified the targeted SNPs in a single tube, utilizing a minimum DNA concentration of 10 ng/μL and attaining an overall sample call rate of 93.13%. Further research on this method, which combines the specificity of multiplex-PCR with the sensitivity of MALDI-TOF MS, may provide a distinctive opportunity to enhance our comprehension of the genetic foundations of physical fitness and may have potential applications in research investigating the influence of genetics on athletic performance and muscle mechanics, such as the Speed Gene Study.