Browse publications by year: 2024

  1. Fulltext Knee Laxities Changes with Sex-steroids throughout the Menstrual Cycle Phases in Athlete and Non-athlete Females
    Dehghan F, Soori R, Yusof A
    Rev Bras Ortop (Sao Paulo), 2024 Feb;59(1):e29-e37.
    PMID: 38524710 DOI: 10.1055/s-0043-1771007
    Objective:  Our study investigated changes of knee laxities in athletes and non-athletes females and relationship between knee laxity and sex-steroid at menstrual cycle phases. Methods:  Forty six healthy females, twenty four athletes and twenty two non-athletes not on hormone contraceptive pills, had no previous knee injuries and with regular menstrual cycles for 3 consecutive months, participated in the study. Medial and lateral knee laxities were determined by varus-valgus tests at follicular, ovulatory and luteal phases. Serum level of relaxin, estrogen, progesterone and testosterone were determined by ELISA and radioimmunoassay. Results:  Knee laxities in athletes and non-athletes at 0° and 20° flexion were the highest in luteal phase with non-athletes possess greater laxity than athletes. Positive correlation between progesterone and relaxin levels with knee laxities were observed. Meanwhile, the levels of both hormones were highest in the luteal phase. Conclusion:  Increased medial and lateral knee laxities in athletes and non-athletes associated with high serum progesterone and relaxin levels in luteal phase may contribute toward increased risk of non-contact knee injury. However, lower knee laxity in athletes than non-athletes suggest that exercise could be a protective factor.
  2. Fulltext Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model
    Dergaa I, Saad HB, El Omri A, Glenn JM, Clark CCT, Washif JA, et al.
    Biol Sport, 2024 Mar;41(2):221-241.
    PMID: 38524814 DOI: 10.5114/biolsport.2024.133661
    The rise of artificial intelligence (AI) applications in healthcare provides new possibilities for personalized health management. AI-based fitness applications are becoming more common, facilitating the opportunity for individualised exercise prescription. However, the use of AI carries the risk of inadequate expert supervision, and the efficacy and validity of such applications have not been thoroughly investigated, particularly in the context of diverse health conditions. The aim of the study was to critically assess the efficacy of exercise prescriptions generated by OpenAI's Generative Pre-Trained Transformer 4 (GPT-4) model for five example patient profiles with diverse health conditions and fitness goals. Our focus was to assess the model's ability to generate exercise prescriptions based on a singular, initial interaction, akin to a typical user experience. The evaluation was conducted by leading experts in the field of exercise prescription. Five distinct scenarios were formulated, each representing a hypothetical individual with a specific health condition and fitness objective. Upon receiving details of each individual, the GPT-4 model was tasked with generating a 30-day exercise program. These AI-derived exercise programs were subsequently subjected to a thorough evaluation by experts in exercise prescription. The evaluation encompassed adherence to established principles of frequency, intensity, time, and exercise type; integration of perceived exertion levels; consideration for medication intake and the respective medical condition; and the extent of program individualization tailored to each hypothetical profile. The AI model could create general safety-conscious exercise programs for various scenarios. However, the AI-generated exercise prescriptions lacked precision in addressing individual health conditions and goals, often prioritizing excessive safety over the effectiveness of training. The AI-based approach aimed to ensure patient improvement through gradual increases in training load and intensity, but the model's potential to fine-tune its recommendations through ongoing interaction was not fully satisfying. AI technologies, in their current state, can serve as supplemental tools in exercise prescription, particularly in enhancing accessibility for individuals unable to access, often costly, professional advice. However, AI technologies are not yet recommended as a substitute for personalized, progressive, and health condition-specific prescriptions provided by healthcare and fitness professionals. Further research is needed to explore more interactive use of AI models and integration of real-time physiological feedback.
  3. Fulltext Artificial intelligence in sport: Exploring the potential of using ChatGPT in resistance training prescription
    Washif JA, Pagaduan J, James C, Dergaa I, Beaven CM
    Biol Sport, 2024 Mar;41(2):209-220.
    PMID: 38524820 DOI: 10.5114/biolsport.2024.132987
    OpenAI's Chat Generative Pre-trained Transformer (ChatGPT) technology enables conversational interactions with applications across various fields, including sport. Here, ChatGPT's proficiency in designing a 12-week resistance training programme, following specific prompts, was investigated. GPT3.5 and GPT4.0 versions were requested to design 12-week resistance training programmes for male and female hypothetical subjects (20-years-old, no injury, and 'intermediate' resistance training experience). Subsequently, GPT4.0 was requested to design an 'advanced' training programme for the same profiles. The proposed training programmes were compared with established guidelines and literature (e.g., National Strength and Conditioning Association textbook), and discussed. ChatGPT suggested 12-week training programmes comprising three, 4-week phases, each with different objectives (e.g., hypertrophy/strength). GPT3.5 proposed a weekly frequency of ~3 sessions, load intensity of 70-85% of one repetition-maximum, repetition range of 4-8 (2-4 sets), and tempo of 2/0/2 (eccentric/pause/concentric/'pause'). GPT4.0 proposed intermediate- and advanced programme, with a frequency of 5 or 4 sessions, 60-90% or 70-95% intensity, 3-5 sets or 3-6 sets, 5-12 or 3-12 repetitions, respectively. GPT3.5 proposed rest intervals of 90-120 s, and exercise tempo of 2/0/2. GPT4.0 proposed 60-180 (intermediate) or 60-300 s (advanced), with exercise tempo of 2/1/2 for intermediates, and 3/0/1/0, 2/0/1/0, and 1/0/1/0 for advanced programmes. All derived programmes were objectively similar regardless of sex. ChatGPT generated training programmes which likely require additional fine-tuning before application. GPT4.0 synthesised more information than GPT3.5 in response to the prompt, and demonstrated recognition awareness of training experience (intermediate vs advanced). ChatGPT may serve as a complementary tool for writing 'draft' programme, but likely requires human expertise to maximise training programme effectiveness.
  4. Fulltext Unveiling the acute neurophysiological responses to strength training: An exploratory study on novices performing weightlifting bouts with different motor learning models
    Ammar A, Boujelbane MA, Simak ML, Fraile-Fuente I, Rizzi N, Washif JA, et al.
    Biol Sport, 2024 Mar;41(2):249-274.
    PMID: 38524821 DOI: 10.5114/biolsport.2024.133481
    Currently, there is limited evidence regarding various neurophysiological responses to strength exercise and the influence of the adopted practice schedule. This study aimed to assess the acute systemic effects of snatch training bouts, employing different motor learning models, on skill efficiency, electric brain activity (EEG), heart rate variability (HRV), and perceived exertion as well as mental demand in novices. In a within-subject design, sixteen highly active males (mean age: 23.13 ± 2.09 years) randomly performed snatch learning bouts consisting of 36 trials using repetitive learning (RL), contextual interference (blocked, CIb; and serial, CIs), and differential learning (DL) models. Spontaneous resting EEG and HRV activities were recorded at PRE and POST training bouts while measuring heart rate. Perceived exertion and mental demand were assessed immediately after, and barbell kinematics were recorded during three power snatch trials performed following the POST measurement. The results showed increases in alpha, beta, and gamma frequencies from pre- to post-training bouts in the majority of the tested brain regions (p values ranging from < 0.0001 to 0.02). The CIb model exhibited increased frequencies in more regions. Resting time domain HRV parameters were altered following the snatch bouts, with increased HR (p < 0.001) and decreased RR interval (p < 0.001), SDNN, and RMSSD (p values ranging from < 0.0001 to 0.02). DL showed more pronounced pulse-related changes (p = 0.01). Significant changes in HRV frequency domain parameters were observed, with a significant increase in LFn (p = 0.03) and a decrease in HFn (p = 0.001) registered only in the DL model. Elevated HR zones (> HR zone 3) were more dominant in the DL model during the snatch bouts (effect size = 0.5). Similarly, the DL model tended to exhibit higher perceived physical (effect size = 0.5) and mental exertions (effect size = 0.6). Despite the highest psycho-physiological response, the DL group showed one of the fewest significant EEG changes. There was no significant advantage of one learning model over the other in terms of technical efficiency. These findings offer preliminary support for the acute neurophysiological benefits of coordination-strength-based exercise in novices, particularly when employing a DL model. The advantages of combining EEG and HRV measurements for comprehensive monitoring and understanding of potential adaptations are also highlighted. However, further studies encompassing a broader range of coordination-strength-based exercises are warranted to corroborate these observations.
  5. Fulltext Assessing Students' Knowledge and Attitudes Regarding the Risks and Prevention of Consanguineous Marriage: A Cross-Sectional Online Survey
    Jairoun AA, Al-Hemyari SS, Shahwan M, Karuniawati H, Zyoud SH, Abu-Gharbieh E, et al.
    J Multidiscip Healthc, 2024;17:1251-1263.
    PMID: 38524860 DOI: 10.2147/JMDH.S449348
    BACKGROUND: Several studies indicate a correlation between consanguinity and genetic disorders, congenital malformations, harm to reproductive health, and increased child mortality.

    OBJECTIVE: To assess students' knowledge and attitudes about risks and prevention of consanguineous marriage.

    METHODS: Demographic details of the participants and data on knowledge and attitudes concerning the risks and prevention of consanguineous marriage were obtained using an online self-administered questionnaire. The factors associated with good knowledge and attitude toward consanguineous marriage were investigated by logistic regression analysis.

    RESULTS: A total of 667 participants enrolled in the study. The average knowledge score about consanguineous marriage risk and prevention was 78.6% with a 95% confidence interval (CI) [77.3, 79.8], and the average attitude was 79.7% with a 95% confidence interval (CI) [79, 80.6]. A better knowledge score was observed in older participants (OR 1.01; 95% CI 1.004-1.024), females (OR 1.69; 95% CI 1.48-1.94), participants with parental history of consanguinity (OR 1.33; 95% CI 1.17-1.52), participants with family history of consanguineous marriage (OR 5.18; 95% CI 2.19-7.10), and participants with family history of inherited disease (OR 1.52; 95% CI 1.25-1.86).

    CONCLUSION: In general, the overall level of knowledge and attitudes toward consanguineous marriage risk and prevention was good among university students. To efficiently control and manage the adverse health impacts associated with consanguineous marriage, there is an urgent need to develop and implement evidence-based counseling and screening programs for consanguineous marriage that would significantly reduce the number of at-risk marriages.

  6. Fulltext Delayed Diagnosis of Unilateral Absence of Pulmonary Artery Presenting with Recurrent Bronchopneumonia
    Raja Shariff RE, Yusoff MR, Ibrahim KS, Kasim S
    CASE (Phila), 2024 Mar;8(3Part A):103-108.
    PMID: 38524981 DOI: 10.1016/j.case.2023.12.004
    • Unilateral absence of the pulmonary artery (UAPA) is a rare congenital condition. • Patients with UAPA may present initially following recurrent bouts of pneumonia. • Echocardiography remains a useful tool for diagnosis in resource-limited settings.
  7. Fulltext Hypoplastic Posterior Leaflet of the Tricuspid Valve-a Unique Cause of Right Heart Failure
    Raja Shariff RE, Yusoff MR, Ibrahim KS, Kasim S
    CASE (Phila), 2024 Mar;8(3Part A):157-161.
    PMID: 38524993 DOI: 10.1016/j.case.2023.11.009
    • TR can be due to either primary or secondary causes. • Primary TR due to congenital hypoplasia of leaflets is rare. • Multimodality imaging is key in identifying the cause of TR.
  8. Fulltext Revolutionizing Antiviral Therapeutics: Unveiling Innovative Approaches for Enhanced Drug Efficacy
    Megantara S, Rusdin A, Budiman A, Shamsuddin S, Mohtar N, Muchtaridi M
    Int J Nanomedicine, 2024;19:2889-2915.
    PMID: 38525012 DOI: 10.2147/IJN.S447721
    Since the beginning of the coronavirus pandemic in late 2019, viral infections have become one of the top three causes of mortality worldwide. Immunization and the use of immunomodulatory drugs are effective ways to prevent and treat viral infections. However, the primary therapy for managing viral infections remains antiviral and antiretroviral medication. Unfortunately, these drugs are often limited by physicochemical constraints such as low target selectivity and poor aqueous solubility. Although several modifications have been made to enhance the physicochemical characteristics and efficacy of these drugs, there are few published studies that summarize and compare these modifications. Our review systematically synthesized and discussed antiviral drug modification reports from publications indexed in Scopus, PubMed, and Google Scholar databases. We examined various approaches that were investigated to address physicochemical issues and increase activity, including liposomes, cocrystals, solid dispersions, salt modifications, and nanoparticle drug delivery systems. We were impressed by how well each strategy addressed physicochemical issues and improved antiviral activity. In conclusion, these modifications represent a promising way to improve the physicochemical characteristics, functionality, and effectiveness of antivirals in clinical therapy.
    MeSH terms: Antiviral Agents/therapeutic use; Pharmaceutical Preparations/chemistry; Humans; Drug Delivery Systems
  9. Fulltext Assessing the dynamics and impact of COVID-19 vaccination on disease spread: A data-driven approach
    Waseel F, Streftaris G, Rudrusamy B, Dass SC
    Infect Dis Model, 2024 Jun;9(2):527-556.
    PMID: 38525308 DOI: 10.1016/j.idm.2024.02.010
    The COVID-19 pandemic has significantly impacted global health, social, and economic situations since its emergence in December 2019. The primary focus of this study is to propose a distinct vaccination policy and assess its impact on controlling COVID-19 transmission in Malaysia using a Bayesian data-driven approach, concentrating on the year 2021. We employ a compartmental Susceptible-Exposed-Infected-Recovered-Vaccinated (SEIRV) model, incorporating a time-varying transmission rate and a data-driven method for its estimation through an Exploratory Data Analysis (EDA) approach. While no vaccine guarantees total immunity against the disease, and vaccine immunity wanes over time, it is critical to include and accurately estimate vaccine efficacy, as well as a constant vaccine immunity decay or wane factor, to better simulate the dynamics of vaccine-induced protection over time. Based on the distribution and effectiveness of vaccines, we integrated a data-driven estimation of vaccine efficacy, calculated at 75% for Malaysia, underscoring the model's realism and relevance to the specific context of the country. The Bayesian inference framework is used to assimilate various data sources and account for underlying uncertainties in model parameters. The model is fitted to real-world data from Malaysia to analyze disease spread trends and evaluate the effectiveness of our proposed vaccination policy. Our findings reveal that this distinct vaccination policy, which emphasizes an accelerated vaccination rate during the initial stages of the program, is highly effective in mitigating the spread of COVID-19 and substantially reducing the pandemic peak and new infections. The study found that vaccinating 57-66% of the population (as opposed to 76% in the real data) with a better vaccination policy such as proposed here is able to significantly reduce the number of new infections and ultimately reduce the costs associated with new infections. The study contributes to the development of a robust and informative representation of COVID-19 transmission and vaccination, offering valuable insights for policymakers on the potential benefits and limitations of different vaccination policies, particularly highlighting the importance of a well-planned and efficient vaccination rollout strategy. While the methodology used in this study is specifically applied to national data from Malaysia, its successful application to local regions within Malaysia, such as Selangor and Johor, indicates its adaptability and potential for broader application. This demonstrates the model's adaptability for policy assessment and improvement across various demographic and epidemiological landscapes, implying its usefulness for similar datasets from various geographical regions.
  10. Z-osteotomy for uniplanar femoral shaft deformity correction in an adolescent with osteogenesis imperfecta
    Prahasta Bin Didi Indra FI, Bin Ibrahim AR, Bin Mohd Amin MZ
    Med J Armed Forces India, 2024;80(2):227-233.
    PMID: 38525453 DOI: 10.1016/j.mjafi.2022.04.008
    Osteogenesis imperfecta (OI) is commonly associated with fragility fractures. It is due to abnormality in the quantity and quality of collagen type 1 caused by mutations in COL1A1 and COL1A2 genes. Patients with OI would also have blue sclera, ligament hyperlaxity, dentinogenesis imperfecta, hearing abnormality, and short stature. Surgical management is preferred to conservative treatment in long bone fractures. For malunited fractures, Sofield-Millar or multiple osteotomies at different sites of deformities are performed with additional intramedullary device to stabilize the bone. This is a case of femur fracture with multilevel CORAs in an adolescent patient with post-trauma OI in which z-osteotomies were performed and stabilized with titanium elastic nails resulting in good outcomes clinically and radiologically.
  11. Fulltext Mechanisms of Antibiotic Resistance and Developments in Therapeutic Strategies to Combat Klebsiella pneumoniae Infection
    Li Y, Kumar S, Zhang L
    Infect Drug Resist, 2024;17:1107-1119.
    PMID: 38525477 DOI: 10.2147/IDR.S453025
    Infections with drug-resistant bacteria have become one of the greatest public health challenges, and K. pneumoniae is among the top six drug-resistant bacteria. K. pneumoniae often causes nosocomial infections, leading to illnesses such as pneumonia, liver abscesses, soft tissue infections, urinary tract infections, bacteremia, and in some cases death. As the pathogen continues to evolve and its multidrug resistance increases, K. pneumoniae poses a direct threat to humans. Drug resistance in K. pneumoniae may occur due to the formation of biofilms, efflux pumps, and the production of β-lactamases. In many cases, resistance is further enhanced by enzymatic modification and loss of porins. Drug resistance to K. pneumoniae has led to a decline in the effectiveness of conventional therapies against this pathogen. Therefore, there is an urgent need to accelerate the development of new antibiotics and explore new therapeutic approaches such as antimicrobial peptides, phages, traditional Chinese medicine, immunotherapy, Antimicrobial nanoparticle technology, antisense oligonucleotides and gene editing technologies. In this review, we discuss the mechanisms of drug resistance in K. pneumoniae and compare several new potential therapeutic strategies to overcome drug resistance in the treatment of K. pneumoniae infections.
  12. Fulltext Peculiar reaction of oxidized zirconium from a total knee arthroplasty prosthesis: A case report
    Keun Seon J, Anwar Ayob K, Giun Noh M, Yeol Yang H
    Acta Orthop Traumatol Turc, 2024 Jan;58(1):68-72.
    PMID: 38525513 DOI: 10.5152/j.aott.2024.23115
    Oxidized zirconium (OxiniumTM) prostheses, made up of a metallic alloy of zirconium with a ceramic surface formed by oxidizing the outer layer, were developed as an alternative bearing surface to reduce polyethylene wear and decrease failure of total knee arthroplasty (TKA). We report a unique catastrophic failure of an Oxinium TKA with consequent accelerated wear and severe metallosis. Intraoperatively, we observed extensive wear grooving of the femoral component with exposure of the underlying silver layers and the complete wear of polyethylene on the medial side. Metallic debris had a peculiar arthrogram appearance, noted within the cut surface of the femur and tibia, indicative of the osteolysis that occurred, leading up to the failure of the implants. The histopathologic examination revealed a collection of macrophages with foreign-body reactions and black-pigmented metal-induced wear particles. Oxinium has clear benefits regarding superior wear properties; however, surgeons need to be aware that there is a risk of exposure to the underlying layers that may precede accelerated wear, deformation, and metallosis. Uncovering the deeper layers could result in the appearance of an arthrogram on plain radiographs. Early identification of polyethylene wear and prompt revision is crucial to avoid the rapid progression of subsequent metallosis and catastrophic implant failure, specifically when using oxidized zirconium components for TKA. To the best of our knowledge, this is the first report presenting a detailed histologic analysis to provide insight into the mechanisms of the failed Oxinium components.
    MeSH terms: Humans; Prosthesis Design; Prosthesis Failure; Zirconium/adverse effects; Polyethylene/adverse effects
  13. Recent progress on anti-nociceptive effects of carbon monoxide releasing molecule-2 (CORM-2)
    Khir NAM, Noh ASM, Long I, Zakaria R, Ismail CAN
    Mol Cell Biochem, 2024 Mar;479(3):539-552.
    PMID: 37106243 DOI: 10.1007/s11010-023-04749-5
    The role of carbon monoxide (CO) has evolved albeit controversial disputes on its toxicity. This biological gasotransmitter participates in the endogenous regulation of neurotransmitters and neuropeptides released in the nervous system. Exogenous CO gas inhalation at a lower concentration has been the subject of investigations, which have revealed its biological homeostatic mechanisms and protective effects against many pathological conditions. This therapeutic procedure of CO is, however, limited due to its immediate release, which favours haemoglobin at a high affinity with the subsequent generation of toxic carboxyhaemoglobin in tissues. In order to address this problem, carbon monoxide releasing molecule-2 (CORM-2) or also known as tricarbonyldichlororuthenium II dimer is developed to liberate a controlled amount of CO in the biological systems. In this review, we examine several potential mechanisms exerted by this therapeutic compound to produce the anti-nociceptive effect that has been demonstrated in previous studies. This review could shed light on the role of CORM-2 to reduce pain, especially in cases of chronic and neuropathic pain.
    MeSH terms: Carbon Monoxide/pharmacology; Carbon Monoxide/physiology; Gasotransmitters*
  14. Dietitians Play a Crucial and Expanding Role in Renal Nutrition and Medical Nutrition Therapy
    Kistler B, Avesani CM, Burrowes JD, Chan M, Cuppari L, Hensley MK, et al.
    J Ren Nutr, 2024 Mar;34(2):91-94.
    PMID: 38373524 DOI: 10.1053/j.jrn.2024.02.001
    MeSH terms: Dietetics*; Humans; Kidney; Nutritional Status; Nutrition Therapy*; Nutritionists*
  15. Chitosan as a suitable host for sustainable plasticized nanocomposite sodium ion conducting polymer electrolyte in EDLC applications: Structural, ion transport and electrochemical studies
    Sadiq NM, Abdulwahid RT, Aziz SB, Woo HJ, Kadir MFZ
    Int J Biol Macromol, 2024 Apr;265(Pt 1):130751.
    PMID: 38471616 DOI: 10.1016/j.ijbiomac.2024.130751
    The challenge in front of EDLC device is their low energy density compared to their battery counter parts. In the current study, a green plasticized nanocomposite sodium ion conducting polymer blend electrolytes (PNSPBE) was developed by incorporating plasticized Chitosan (CS) blended with polyvinyl alcohol (PVA), doped with NaBr salt with various concentration of CaTiO3 nanoparticles. The most optimized PNSPBE film was subsequently utilized in an EDLC device to evaluate its effectiveness both as an electrolyte and a separator. Structural and morphological changes were assessed using XRD and SEM techniques. The PNSPBE film demonstrated a peak ionic conductivity of 9.76×10-5 S/cm, as determined through EIS analysis. The dielectric and AC studies provided further confirmation of structural modifications within the sample. Both TNM and LSV analyses affirmed the suitability of the prepared electrolyte for energy device applications, evidenced by its adequate ion transference number and an electrochemical potential window of 2.86 V. Electrochemical properties were assessed via CV and GCD techniques, confirming non-Faradaic ion storage, indicated by the rectangular CV pattern at low scan rates. The parameters associated with the designed EDLC device including specific capacitance, ESR, power density (1950 W/kg) and energy density (12.3 Wh/kg) were determined over 1000 cycles.
    MeSH terms: Electrolytes/chemistry; Ions/chemistry; Sodium
  16. Development and validation of the information-motivation-behavioural skills model-based human immunodeficiency virus education kit for adolescents in Malaysia
    Wan Mohamad Darani WNS, Mat Ruzlin AN, Azhar ZI, Chen XW
    Sci Rep, 2024 Mar 22;14(1):6890.
    PMID: 38519534 DOI: 10.1038/s41598-024-57593-y
    The growing Human Immunodeficiency Virus (HIV) incidences and insufficient HIV knowledge among Malaysian late adolescents necessitate immediate attention to HIV prevention via education. This study aims to develop and validate an Information-Motivation-Behavioural skills (IMB) model-based education kit for adolescents, PREM-Kit, to educate on HIV prevention among Malaysian late adolescents. Utilizing the Analysis, Design, Development, Implementation, and Evaluation model, we conducted the study in three phases: needs assessment, development of PREM-Kit, and validation of PREM-Kit by applying the IMB model to map the PREM-Kit's contents. PREM-Kit, developed in Malay language, consisted of an infographic flip chart and videos. Five multi-disciplinary experts validated the PREM-Kit using the content validity index (CVI), and 13 end-users validated the PREM-Kit using the Malay version of the Patient Education Materials Assessment Tool for Printable and Audiovisual Materials. The infographic flip chart comprised three modules covering 15 topics, and an animated video accompanied each module. PREM-Kit achieved CVI scores of 1.0 and median scores of over 80% for understandability and actionability. Overall, the newly developed IMB model-based HIV education kit has good content validity, is simple to comprehend and apply, and is ready for testing its effectiveness in improving adolescents' knowledge, attitudes, and practices for HIV prevention.
    MeSH terms: Adolescent; Attitude; HIV; Humans; Malaysia; Receptor Protein-Tyrosine Kinases
  17. Fulltext Diet, lifestyle and gut microbiota composition among Malaysian women with gestational diabetes mellitus: a prospective cohort study
    Kunasegaran T, Balasubramaniam VRMT, Thirunavuk Arasoo VJ, Palanisamy UD, Tan YK, Ramadas A
    Sci Rep, 2024 Mar 22;14(1):6891.
    PMID: 38519592 DOI: 10.1038/s41598-024-57627-5
    The study addressed a significant gap in the profiling and understanding of the gut microbiota's influence on Malaysian Malay women with gestational diabetes mellitus (GDM). This prospective cohort study aimed to explore the intricate relationship between gut microbiota, dietary choices, and lifestyle factors among Malay women, both with and without GDM. The research specifically focused on participants during the second (T0) and third (T1) trimesters of pregnancy in Johor Bahru, Malaysia. In Part 1 of the study, a diverse pool of pregnant women at T0 was categorized into two groups: those diagnosed with GDM and those without GDM, with a total sample size of 105 individuals. The assessments encompassed demographic, clinical, lifestyle, and dietary factors at the T0 and T1 trimesters. Part 2 of the study delved into microbiome analysis, targeting a better understanding of the gut microbiota among the participants. Stool samples were randomly collected from 50% of the individuals in each group (GDM and non-GDM) at T0 and T1. The collected samples underwent processing, and 16s rRNA metagenomic analysis was employed to study the microbial composition. The results suggested an association between elevated body weight and glucose levels, poor sleep quality, lack of physical activity, greater intake of iron and meat, and reduced fruit consumption among women with GDM compared to non-GDM groups. The microbiome analysis revealed changes in microbial composition over time, with reduced diversity observed in the GDM group during the third trimester. The genera Lactiplantibacillus, Parvibacter, Prevotellaceae UCG001, and Vagococcus positively correlated with physical activity levels in GDM women in the second trimester. Similarly, the genus Victivallis exhibited a strong positive correlation with gravida and parity. On the contrary, the genus Bacteroides and Roseburia showed a negative correlation with omega-3 polyunsaturated fatty acids (PUFAs) in women without GDM in the third trimester. The study highlighted the multifaceted nature of GDM, involving a combination of lifestyle factors, dietary choices, and changes in gut microbiota composition. The findings emphasized the importance of considering these interconnected elements in understanding and managing gestational diabetes among Malaysian Malay women. Further exploration is essential to comprehend the mechanisms underlying this relationship and develop targeted interventions for effective GDM management.
    MeSH terms: Diet; Female; Humans; Life Style; Pregnancy; Prospective Studies; RNA, Ribosomal, 16S/genetics
  18. Parkin deficiency promotes liver cancer metastasis by TMEFF1 transcription activation via TGF-β/Smad2/3 pathway
    Su Q, Wang JJ, Ren JY, Wu Q, Chen K, Tu KH, et al.
    Acta Pharmacol Sin, 2024 Mar 22.
    PMID: 38519646 DOI: 10.1038/s41401-024-01254-3
    Parkin (PARK2) deficiency is frequently observed in various cancers and potentially promotes tumor progression. Here, we showed that Parkin expression is downregulated in liver cancer tissues, which correlates with poor patient survival. Parkin deficiency in liver cancer cells promotes migration and metastasis as well as changes in EMT and metastasis markers. A negative correlation exists between TMEFF1 and Parkin expression in liver cancer cells and tumor tissues. Parkin deficiency leads to upregulation of TMEFF1 which promotes migration and metastasis. TMEFF1 transcription is activated by Parkin-induced endogenous TGF-β production and subsequent phosphorylation of Smad2/3 and its binding to TMEFF1 promotor. TGF-β inhibitor and TMEFF1 knockdown can reverse shParkin-induced cell migration and changes of EMT markers. Parkin interacts with and promotes the ubiquitin-dependent degradation of HIF-1α/HIF-1β and p53, which accounts for the suppression of TGF-β production. Our data have revealed that Parkin deficiency in cancer leads to the activation of the TGF-β/Smad2/3 pathway, resulting in the expression of TMEFF1 which promotes cell migration, EMT, and metastasis in liver cancer cells.
  19. Microbial degradation of low-density polyethylene, polyethylene terephthalate, and polystyrene by novel isolates from plastic-polluted environment
    Singh P, Lau CSS, Siah SY, Chua KO, Ting ASY
    Arch Microbiol, 2024 Mar 22;206(4):188.
    PMID: 38519709 DOI: 10.1007/s00203-024-03895-8
    Biodegradation is an eco-friendly measure to address plastic pollution. This study screened four bacterial isolates that were capable of degrading recalcitrant polymers, i.e., low-density polyethylene, polyethylene terephthalate, and polystyrene. The unique bacterial isolates were obtained from plastic polluted environment. Dermacoccus sp. MR5 (accession no. OP592184) and Corynebacterium sp. MR10 (accession no. OP536169) from Malaysian mangroves and Bacillus sp. BS5 (accession no. OP536168) and Priestia sp. TL1 (accession no. OP536170) from a sanitary landfill. The four isolates showed a gradual increase in the microbial count and the production of laccase and esterase enzymes after 4 weeks of incubation with the polymers (independent experiment set). Bacillus sp. BS5 produced the highest laccase 15.35 ± 0.19 U/mL and showed the highest weight loss i.e., 4.84 ± 0.6% for PS. Fourier transform infrared spectroscopy analysis confirmed the formation of carbonyl and hydroxyl groups as a result of oxidation reactions by enzymes. Liquid chromatography-mass spectrometry analysis showed the oxidation of the polymers to small molecules (alcohol, ethers, and acids) assimilated by the microbes during the degradation. Field emission scanning electron microscopy showed bacterial colonization, biofilm formation, and surface erosion on the polymer surface. The result provided significant insight into enzyme activities and the potential of isolates to target more than one type of polymer for degradation.
    MeSH terms: Biodegradation, Environmental; Polyethylene Terephthalates; Polyethylene/metabolism; Laccase
  20. Translation and validation of menopause quick 6 (MQ6) into the Malay language
    Manoharan A, Harris MM, Chin BH, Ming KW, Asmuee Z, Salamon N, et al.
    BMC Prim Care, 2024 Mar 22;25(1):95.
    PMID: 38519908 DOI: 10.1186/s12875-024-02342-3
    BACKGROUND: Inquiring conservative Asian women about their menopausal symptoms is often challenging in crowded primary healthcare clinics. Furthermore, the subject matter is culturally sensitive to most Malaysian women. Hence, the translation of MQ6 into Malay is crucial to enable self-administration, eliminating the necessity for interviewers and mitigating potential respondent shyness.

    METHODS: The Menopause Quick 6 (MQ6) questionnaire was translated into the Malay language with an addition of an item, henceforth termed MQ6 (M). Forward and backward translation was performed. Face and content validity were conducted. MQ6 (M) was self-administered to 400 women aged between 40 and 60 attending six primary healthcare clinics in Malaysia. To ascertain the reliability for MQ6 (M), corrected Item-Total Correlation, Squared Multiple Correlation, Cronbach's Alpha if the Item is Deleted, and Kuder-Richardson Reliability Coefficients (KR20). Exploratory factor analysis was done to determine its' construct validity.

    RESULTS: The outcome of the validation was satisfactory. By the Lawshe method, the content validity ratios ranged from 0.6 to 1.0 and the content validity index was 0.914. The Internal consistency for MQ6(M) Cronbach's alpha was 0.711 while Kuder-Richardson Reliability Coefficients KR20 was 0.676. Factor loading of all four items is above 0.70, indicating a well-defined structure. Whereas factor loading for three items fell within the range of 0.50-0.69 indicating a practically significant threshold for a new questionnaire.

    CONCLUSION: MQ6 (M) has acceptable reliability and construct validity to be considered as a self-administered screening tool in primary care clinics in Malaysia.

    MeSH terms: Adult; Female; Humans; Language*; Malaysia; Menopause*; Middle Aged; Psychometrics/methods; Reproducibility of Results
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