Browse publications by year: 2024

  1. Ibrahim N, Mohamad M, Abdul-Razak S, Mohamed-Yassin MS, Baharudin N
    BMC Med Educ, 2024 Jul 23;24(1):791.
    PMID: 39044251 DOI: 10.1186/s12909-024-05798-0
    BACKGROUND: Previous literature has demonstrated associations between grit and positive educational and psychological outcomes, such as higher academic grades, lower attrition rates in medical training, and protection from burnout. However, the predictors of grit have yet to be studied, particularly among medical students in Malaysia. This study aimed to determine the level of grit and its predictors among Malaysian medical students.

    METHODS: A cross-sectional study was conducted among 123 medical students from a public university in Malaysia. Data on sociodemographic and educational characteristics were collected. The student's personality traits were determined using the Big Five Inventory (BFI), while grit was assessed using the validated 7-item Short Grit Scale (Grit-S). Grit was expressed as a mean score, ranging from 1 (not at all gritty) to 5 (extremely gritty). Multiple linear regression was used to determine the association between the predictors (personality, sociodemographic and educational characteristics) and grit among these students.

    RESULTS: The mean grit score was 3.43 (SD 0.57). Based on the multiple linear regression analysis, the grit score was significantly predicted by three personality traits which were extraversion, b = 0.2 (95% CI: 0.07-0.32), agreeableness, b = 0.28 (95% CI: 0.12-0.44) and conscientiousness, b = 0.6 (95% CI: 0.42-0.77). A 1-point increase in the mean extraversion, agreeableness, and conscientiousness scores would independently increase these students' mean grit scores by 0.2, 0.28, and 0.6, respectively. The sociodemographic and educational characteristics did not significantly predict grit among Malaysian medical students.

    CONCLUSIONS: The mean grit score among Malaysian medical students is comparable to other medical students in Asia. Extraversion, agreeableness, and conscientiousness personality traits were associated with higher grit. As grit is a dynamic trait, appropriate interventions should be implemented to foster and increase it among these students.

    MeSH terms: Adult; Cross-Sectional Studies; Female; Humans; Malaysia; Male; Personality*; Universities; Young Adult
  2. Binns C, Low WY
    Asia Pac J Public Health, 2024 Jul;36(5):425-428.
    PMID: 39044384 DOI: 10.1177/10105395241265205
    MeSH terms: Humans; Global Health*; World Health Organization*
  3. Padzel S, Ariffin F, Mohd Yusuf SY, Mohamad Ali ND
    Am J Case Rep, 2024 Jul 24;25:e944260.
    PMID: 39044396 DOI: 10.12659/AJCR.944260
    BACKGROUND Non-neurogenic neurogenic bladder involves fluctuating flow rates due to involuntary muscle contractions during voiding in those with normal neurological function. The diagnostic challenge lies in distinguishing between massive urinary bladder distension and ovarian tumors. While various pathologies mimicking ovarian tumors are documented, cases of a massively distended urinary bladder, known as giant urinary bladder, posing as such are notably scarce. CASE REPORT This case report presents the unique clinical scenario of a 31-year-old woman with Down syndrome who was initially misdiagnosed with an ovarian tumor due to progressive abdominal distention, reduced appetite, and weight loss. On presentation, she appeared dehydrated, with an abnormal renal profile. Despite hydration, the renal profile worsened. Initial ultrasound showed a large, uniloculated cystic lesion measuring 11×15 cm in the pelvis. Due to the size of the cyst, which appeared to be ovarian in origin, ovarian tumor was suspected. However, tumor markers were normal. A computed tomography scan subsequently showed a massively distended urinary bladder measuring 11.6×13.6×17.6 cm causing bilateral obstructive uropathy, with moderate hydronephrosis and hydroureter. Needing intermittent catheterization at first, the patient subsequently passed urine on her own following behavioral modification. CONCLUSIONS This rare case of non-neurogenic neurogenic bladder causing a giant urinary bladder in a patient with Down syndrome highlights the importance of an awareness of this condition for effective assessment and patient treatment.
    MeSH terms: Adult; Diagnosis, Differential; Female; Humans; Tomography, X-Ray Computed
  4. Jacquet A, Soh WT
    Front Allergy, 2024;5:1426816.
    PMID: 39044859 DOI: 10.3389/falgy.2024.1426816
    From their expression in their respective allergenic source to their processing by antigen presenting cells, allergens continuously encounter proteases. The ability of allergens to resist to proteolysis by digestive enzymes or host-cell/microbial proteases is considered as an important property that influences their allergenic potential. However, the relationship between proteolytic stability and allergenicity is much more complex and depends on various factors, such as the protein structure dynamics, the exposure level, the route of sensitization, and their respective protease susceptibility. In this review, we summarize and discuss the current knowledge on several aspects of allergen proteolytic stability in different environments including the allergenic sources, routes of sensitization (skin, respiratory tract, gastrointestinal tract) and endolysosomal compartment of antigen-presenting cells. Proteolytic stability alone cannot represent a definitive criterion to allergenicity. The proteolytic susceptibility of allergens in processed extracts can affect allergy diagnosis and immunotherapy. Furthermore, the fine tuning of allergen stability during antigen processing can be exploited for the development of novel immunotherapeutic strategies.
  5. Tong Y, Lau YW, Binti Ngalim SM
    Heliyon, 2024 Jul 15;10(13):e33710.
    PMID: 39044982 DOI: 10.1016/j.heliyon.2024.e33710
    As ESG investments have grown, many companies are emphasizing them to impress capital markets and consumers with their responsibility and environmental consciousness. However, managers in unethical companies greenwashing ESG reports to keep clients. The present investigation employs quasi-natural experiment data obtained from a sample of 1200 Chinese A-share listed companies spanning the period from 2011 to 2021 to examine how the Green Finance Reform and Innovation Pilot Zone (GFRIPZ) affects ESG greenwashing. GFRIPZ can prevent publicly traded companies from ESG greenwashing. The statistical analysis of heterogeneity demonstrates that GFRIPZ in non-state-owned, mid-west, heavy-polluting, manufacturing industries reduces ESG greenwashing. GFRIPZ suppresses corporate ESG greenwashing better in companies with severe financial constraints and a poor corporate reputation. GFRIPZ's inhibition of corporate ESG greenwashing is enhanced by internal and external monitoring. This study shows how financial markets affect firms' ESG greenwashing. It helps implement GFRIPZ theoretically. It also recommends raising listed companies' awareness of ESG disclosure and reducing corporate ESG greenwashing.
  6. Dorobantu DM, Wadey CA, Berryman B, Amir NH, Forsythe L, Stuart AG, et al.
    Eur Heart J Imaging Methods Pract, 2024 Jan;2(1):qyae021.
    PMID: 39045209 DOI: 10.1093/ehjimp/qyae021
    AIMS: The value of cardiopulmonary exercise testing (CPET) and exercise stress echocardiography (ESE) in managing cardiac disease is well known, but no standard CPET-ESE protocol is currently recommended. This pilot study aims to compare feasibility and cardiac function responses between a new high-intensity single-stage combined test (CPET-hiESE) and a standard maximal ESE (smESE).

    METHODS AND RESULTS: After screening and maximal CPET, all volunteers (n = 21) underwent three ESE modalities: (i) based on the gas exchange threshold (hiESE-GET, 40% of peak-GET, 6 min), (ii) based on heart rate (HR) (hiESE-HR, 80% of peak HR, 6 min), and (iii) smESE (85% of predicted peak HR for age, 3 min). Speckle tracking echocardiography (STE) and tissue Doppler imaging (TDI) were measured at each step. There was superior image quality and data completeness for the right ventricle strain for both hiESE modalities compared with smESE (71.4 and 76.2 vs. 42.9%, P = 0.07). Left ventricular STE data completeness was similar for all three conditions. Despite systematically higher HR, work rate and levels of exertion in the smESE compared with hiESE, STE and TDI parameters were not systematically different. Concordance correlation coefficients ranged from 0.56 to 0.88, lowest for strain rate parameters and mean difference from -0.34 to 1.53, highest for TDI measurements.

    CONCLUSION: The novel CPET-hiESE protocol allowed for better data completeness, at lower levels of exertion compared with smESE, without systematically different cardiac reserve measurements in healthy participants. This single-stage protocol can be individualized to clinical populations, which would provide practical advantages to standard testing.

  7. Ng MJ, Goh NY, Tan CS, Razif MFM, Yap HY, Kong BH, et al.
    Food Technol Biotechnol, 2024 Jun;62(2):254-263.
    PMID: 39045305 DOI: 10.17113/ftb.62.02.24.8424
    RESEARCH BACKGROUND: Preparation of medicinal fungi for experimental purposes usually involves the extraction and determination of the quality and quantity of bioactive compounds prior to the biological experiment. Water, a common polar solvent, is usually used for traditional preparations for consumption. The application of high temperatures during water extraction can affect the chemical composition and functional properties of the extracts. Therefore, the aim of this study is to compare the differences in composition between extracts obtained with heat-assisted and cold water extractions of six selected species of fungi (Lignosus rhinocerus, Ophiocordyceps sinensis, Inonotus obliquus, Antrodia camphorata, Phellinus linteus and Monascus purpureus) and their cytotoxicity against human lung and breast cancer cells.

    EXPERIMENTAL APPROACH: The extracts obtained with heat-assisted and cold water extraction of six species of fungi were analysed to determine their protein, carbohydrate and phenolic contents. Their cytotoxicity was tested against lung (A549) and breast (MCF-7 and MDA-MB-231) cancer cell lines. The most potent extract was further separated into its protein and non-protein fractions to determine their respective cytotoxicity.

    RESULTS AND CONCLUSIONS: The cytotoxicity of the different extracts obtained with heat-assisted and cold water extraction varied. Comparing the two extractions, the cold water extraction resulted in a significantly higher yield of proteins (except M. purpureus) and phenolic compounds (except A. camphorata), while the extracts of I. obliquus and M. purpureus obtained with heat-assisted extraction had a significantly higher carbohydrate mass fraction. Notably, the cold water extract of I. obliquus showed cytotoxicity (IC50=(701±35) µg/mL), which was one of the highest of the extracts tested against A549 cells. The cold water extract of I. obliquus was selected for further studies. Our results showed that cold water extracts generally have higher cytotoxicity against selected human cancer cell lines, with the exception of O. sinensis and A. camphorata extracts.

    NOVELTY AND SCIENTIFIC CONTRIBUTION: This study reports the advantage of cold water extracts of fungi over those obtained with heat-assisted extraction in terms of cytotoxicity against human cancer cell lines and emphasises the role of extraction conditions, particularly heat, in influencing chemical composition and cytotoxic effects.

  8. Zhu ZG, Wang JR, Pan XY
    J Integr Med, 2024 Jan;22(1):12-21.
    PMID: 38104001 DOI: 10.1016/j.joim.2023.11.006
    BACKGROUND: Scraping therapy is widely used in treating stage I and II essential hypertension in China. However, there has been no systematic evaluation of the efficacy of scraping therapy on blood pressure and sleep quality in stage I and II essential hypertension.

    SEARCH STRATEGY: Seven electronic databases (PubMed, Scopus, Cochrane Library, Web of Science, EBSCO, China National Knowledge Infrastructure and Wanfang Data electronic databases) were searched from inception to December 2022. Based on the principle of combining subject words with text words, the search strategy was constructed around search terms for "scraping therapy," "scraping," "Guasha," "Gua sha," "hypertension," and "high blood pressure" during the database searches.

    INCLUSION CRITERIA: Randomized controlled trials (RCTs) were included if they recruited patients with stage I and II essential hypertension and included a scraping therapy intervention. The intervention group received antihypertensive drugs and scraping therapy, while the control group only took antihypertensive drugs.

    DATA EXTRACTION AND ANALYSIS: Review Manager 5.4.0 and STATA 15.1 were used to enter all the relevant outcome variables to conduct the meta-analysis. The quality of the selected RCTs was assessed using the PEDro scale. The sensitivity analysis was carried out by iteratively excluding individual studies and repeating the analysis to determine the stability of the findings and identify any studies with greater influence on the outcome. Subgroup analysis was performed to find the source of heterogeneity. Funnel plots were used to evaluate the publication bias of included studies.

    RESULTS: Nine RCTs including 765 participants were selected. Meta-analysis showed that scraping therapy combined with medication had an advantage over the use of medication alone in lowering systolic blood pressure (mean difference [MD] = -5.09, 95% confidence interval [CI] = -6.50 to -3.67, P 

    MeSH terms: Antihypertensive Agents/therapeutic use; Humans; Randomized Controlled Trials as Topic
  9. Md Zaki FA, Mohamad Hanif EA
    Comput Biol Med, 2024 Aug;178:108696.
    PMID: 38850957 DOI: 10.1016/j.compbiomed.2024.108696
    - This paper presents a comprehensive study focused on breast cancer subtyping, utilizing a multifaceted approach that integrates feature selection, machine learning classifiers, and miRNA regulatory networks. The feature selection process begins with the CFS algorithm, followed by the Apriori algorithm for association rule generation, resulting in the identification of significant features tailored to Luminal A, Luminal B, HER-2 enriched, and Basal-like subtypes. The subsequent application of Random Forest (RF) and Support Vector Machine (SVM) classifiers yielded promising results, with the SVM model achieving an overall accuracy of 76.60 % and the RF model demonstrating robust performance at 80.85 %. Detailed accuracy metrics revealed strengths and areas for refinement, emphasizing the potential for optimizing subtype-specific recall. To explore the regulatory landscape in depth, an analysis of selected miRNAs was conducted using MIENTURNET, a tool for visualizing miRNA-target interactions. While FDR analysis raised concerns for HER-2 and Basal-like subtypes, Luminal A and Luminal B subtypes showcased significant miRNA-gene interactions. Functional enrichment analysis for Luminal A highlighted the role of Ovarian steroidogenesis, implicating specific miRNAs such as hsa-let-7c-5p and hsa-miR-125b-5p as potential diagnostic biomarkers and regulators of Luminal A breast cancer. Luminal B analysis uncovered associations with the MAPK signaling pathway, with miRNAs like hsa-miR-203a-3p and hsa-miR-19a-3p exhibiting potential diagnostic and therapeutic significance. In conclusion, this integrative approach combines machine learning techniques with miRNA analysis to provide a holistic understanding of breast cancer subtypes. The identified miRNAs and associated pathways offer insights into potential diagnostic biomarkers and therapeutic targets, contributing to the ongoing efforts to improve breast cancer diagnostics and personalized treatment strategies.
    MeSH terms: Algorithms; Female; Humans; Gene Expression Regulation, Neoplastic; Gene Regulatory Networks; Support Vector Machine*
  10. Xie P, Wu Y, Lee YY, Wang Y, Zhang Z
    Food Chem, 2024 Oct 30;456:140005.
    PMID: 38870815 DOI: 10.1016/j.foodchem.2024.140005
    The major lipids and antioxidant activities of Asterias rolleston gonad lipids were evaluated systematically. Major lipids of A. Rolleston gonad lipids were triacylglycerols (TAGs) and phospholipids (PLs). Total lipids were composed of 15.62% of polyunsaturated fatty acids (PUFAs), and 40.81% of monounsaturated fatty acids (MUFAs). The most abundant PUFA were C20:5n-3 (EPA) (6.28%) and C22:6n-3 (DHA) (5.80%). Predominantly composed of phosphatidylcholine (PC) and phosphatidylethanolamine (PE), polar lipids were rich in PUFAs and could contain up to 34.59% EPA and DHA, and PE and PI (phosphatidylinositol) were also found to be the main carriers of EPA and ARA (arachidonic acid) in polar lipids. The MUFA and PUFA of Sn-2 in TAG are 39.72% and 30.37%, respectively. A total of 64 TAG species were identified, with Eo-P-M, Eo-Eo-M, and M-M-Eo being the main TAGs components. Moreover, A. rollestoni gonad lipids exhibited potent radical scavenging activities and reducing power in a dose-dependent manner.
    MeSH terms: Animals; Lipids/chemistry; Phospholipids/analysis; Phospholipids/chemistry
  11. Morello F, Bima P, Castelli M, Capretti E, de Matos Soeiro A, Cipriano A, et al.
    Eur J Intern Med, 2024 Jun 12.
    PMID: 38871565 DOI: 10.1016/j.ejim.2024.05.029
    BACKGROUND: In patients complaining common symptoms such as chest/abdominal/back pain or syncope, acute aortic syndromes (AAS) are rare underlying causes. AAS diagnosis requires urgent advanced aortic imaging (AAI), mostly computed tomography angiography. However, patient selection for AAI poses conflicting risks of misdiagnosis and overtesting.

    OBJECTIVES: We assessed the safety and efficiency of a diagnostic protocol integrating clinical data with point-of-care ultrasound (POCUS) and d-dimer (single/age-adjusted cutoff), to select patients for AAI.

    METHODS: This prospective study involved 12 Emergency Departments from 5 countries. POCUS findings were integrated with a guideline-compliant clinical score, to define the integrated pre-test probability (iPTP) of AAS. If iPTP was high, urgent AAI was requested. If iPTP was low and d-dimer was negative, AAS was ruled out. Patients were followed for 30 days, to adjudicate outcomes.

    RESULTS: Within 1979 enrolled patients, 176 (9 %) had an AAS. POCUS led to net reclassification improvement of 20 % (24 %/-4 % for events/non-events, P < 0.001) over clinical score alone. Median time to AAS diagnosis was 60 min if POCUS was positive vs 118 if negative (P = 0.042). Within 941 patients satisfying rule-out criteria, the 30-day incidence of AAS was 0 % (95 % CI, 0-0.41 %); without POCUS, 2 AAS were potentially missed. Protocol rule-out efficiency was 48 % (95 % CI, 46-50 %) and AAI was averted in 41 % of patients. Using age-adjusted d-dimer, rule-out efficiency was 54 % (difference 6 %, 95 % CI, 4-9 %, vs standard cutoff).

    CONCLUSIONS: The integrated algorithm allowed rapid triage of high-probability patients, while providing safe and efficient rule-out of AAS. Age-adjusted d-dimer maximized efficiency.

    CLINICAL TRIAL REGISTRATION: Clinicaltrials.gov, NCT04430400.

  12. Aggarwal B, Al-Moamary M, Allehebi R, Alzaabi A, Al-Ahmad M, Amin M, et al.
    Adv Ther, 2024 Aug;41(8):3089-3118.
    PMID: 38874879 DOI: 10.1007/s12325-024-02900-2
    INTRODUCTION: Asthma management is strongly dependent on physician and patient beliefs and perceptions about the disease and its long-term treatment. The APPaRENT 3 study was conducted to explore factors influencing treatment choice and to understand patients' and physicians' attitudes and perspectives on the use of controller inhalers in regular versus flexible dosing for asthma management.

    METHODS: This cross-sectional survey of patients with asthma and treating physicians was conducted in seven countries: Indonesia, Malaysia, Philippines, Thailand, Vietnam (patient survey only), Saudi Arabia, and the United Arab Emirates. Assessment was carried out through an online/face-to-face questionnaire, where patients' viewpoints were focused on their attitudes and beliefs about asthma and treatment adherence, whereas physicians' viewpoints were gathered on their attitudes and beliefs about asthma management, knowledge of and adherence to asthma treatment guidelines, and asthma treatment regimens.

    RESULTS: Overall, 1400 patients (mean age, 34 years) and 599 physicians (mean age, 43 years) were included in the survey. Physicians similarly prioritised symptom control (39%) and exacerbation reduction (40%) in moderate asthma, whereas patients prioritised symptom control (41%) over exacerbation reduction (22%). Although both groups (physicians, 86%; patients, 84%) perceived asthma as well-controlled, poor management was evident based on Asthma Control Test (ACT) scores (mean, 15.7; standard deviation, 4.14; 82% had an ACT score 

    MeSH terms: Administration, Inhalation; Adult; Attitude of Health Personnel; Cross-Sectional Studies; Female; Humans; Indonesia; Health Knowledge, Attitudes, Practice; Malaysia; Male; Middle Aged; Nebulizers and Vaporizers; Philippines; Physicians/psychology; Surveys and Questionnaires; Saudi Arabia; Thailand; United Arab Emirates; Vietnam; Cost of Illness; Medication Adherence/statistics & numerical data; Young Adult
  13. Gholap AD, Uddin MJ, Faiyazuddin M, Omri A, Gowri S, Khalid M
    Comput Biol Med, 2024 Aug;178:108702.
    PMID: 38878397 DOI: 10.1016/j.compbiomed.2024.108702
    Artificial intelligence (AI) has emerged as a powerful tool to revolutionize the healthcare sector, including drug delivery and development. This review explores the current and future applications of AI in the pharmaceutical industry, focusing on drug delivery and development. It covers various aspects such as smart drug delivery networks, sensors, drug repurposing, statistical modeling, and simulation of biotechnological and biological systems. The integration of AI with nanotechnologies and nanomedicines is also examined. AI offers significant advancements in drug discovery by efficiently identifying compounds, validating drug targets, streamlining drug structures, and prioritizing response templates. Techniques like data mining, multitask learning, and high-throughput screening contribute to better drug discovery and development innovations. The review discusses AI applications in drug formulation and delivery, clinical trials, drug safety, and pharmacovigilance. It addresses regulatory considerations and challenges associated with AI in pharmaceuticals, including privacy, data security, and interpretability of AI models. The review concludes with future perspectives, highlighting emerging trends, addressing limitations and biases in AI models, and emphasizing the importance of collaboration and knowledge sharing. It provides a comprehensive overview of AI's potential to transform the pharmaceutical industry and improve patient care while identifying further research and development areas.
    MeSH terms: Artificial Intelligence*; Humans; Drug Delivery Systems*; Drug Discovery/methods
  14. Shishir MRI, Suo H, Taip FS, Cheng KW
    Food Chem, 2024 Oct 30;456:139818.
    PMID: 38878531 DOI: 10.1016/j.foodchem.2024.139818
    This study aimed to develop complex coacervates utilizing lactoferrin (LF) and chia seed mucilage (CSM) for promoting intestinal delivery of quercetin (Q) and fortification of set yogurt. Three cross-linkers, including calcium chloride (CC), transglutaminase (TG), and polyphenolic complex (HP), were used to further reinforce the coacervate network. Cross-linked coacervates had higher values of coacervate yield, encapsulation efficiency, and loading capacity. They efficiently preserved Q under gastric condition (⁓87%-99%), with CSM-TG-Q-LF being most effective for intestinal delivery of Q. Moreover, digested pellets of the cross-linked coacervates displayed better antioxidant activity than the uncross-linked coacervates with CSM-TG-Q-LF pellets showing maximum bioactivity. The Q-loaded coacervates demonstrated superior assembly in the yogurt matrix compared to the unencapsulated Q. Moreover, the coacervate systems, especially CSM-TG-Q-LF significantly improved the textural properties of yogurt and the stability of Q in it. Therefore, CSM-TG-LF is a promising carrier to promote intestinal delivery and food application of hydrophobic molecules.
    MeSH terms: Food, Fortified/analysis; Humans; Intestinal Mucosa/metabolism; Drug Delivery Systems/instrumentation; Chenopodium quinoa/chemistry; Plant Mucilage/chemistry
  15. Firdose A, Maeda T, Sukri MAM, Yasin NHM, Sabturani N, Aqma WS
    Microb Pathog, 2024 Aug;193:106743.
    PMID: 38879138 DOI: 10.1016/j.micpath.2024.106743
    Rhamnolipids, a major category of glycolipid biosurfactant, have recently gained enormous attention in medical field because of their relevance as effective antibacterial agents against a wide variety of pathogenic bacteria. Our previous studies have shown that rhamnolipids from an environmental isolate of Pseudomonas aeruginosa UKMP14T possess antibacterial, anti-adhesive and anti-biofilm activity against multidrug-resistant ESKAPE (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter sp.) pathogens. However, the mechanism of their antibacterial action remains unclear. Thus, this study aimed to elucidate the mechanism of the antibacterial action of P. aeruginosa UKMP14T rhamnolipids by studying the changes in cells of one of the ESKAPE pathogens, Acinetobacter baumannii, which is the most difficult strain to kill. Results revealed that rhamnolipid treatment rendered A. baumannii cells more hydrophobic as evaluated through contact angle measurements. It also induced the release of cellular proteins measuring 510 μg/mL at a rhamnolipid concentration of 1000 μg/mL. In addition, rhamnolipids were found to be bactericidal in their action as they could permeate the inner membranes, leading to a leak-out of nucleotides. More than 50 % of the cells were found to be killed upon 1000 μg/mL rhamnolipid treatment as observed through fluorescence microscopy. Other cellular changes such as irregular shape and size, membrane perturbations, clumping, shrinkage and physical damage were clearly visible in SEM, FESEM and laser micrographs. Furthermore, rhamnolipid treatment inhibited the levels of acyl-homoserine lactones (AHLs) in A. baumannii, which are vital for their biofilm formation and virulence. The obtained results indicate that P. aeruginosa UKMP14T rhamnolipids target outer and inner bacterial membranes through permeation, including physical damage to the cells, leading to cell leakage. Furthermore, AHL inhibition appears to be the mechanism behind their anti-biofilm action. All these observations can be correlated to rhamnolipids' antibacterial effect against A. baumannii.
    MeSH terms: Cell Membrane/drug effects; Cell Membrane/metabolism; Microbial Sensitivity Tests*; Drug Resistance, Multiple, Bacterial*; Microbial Viability/drug effects; Hydrophobic and Hydrophilic Interactions
  16. Huang B, Li H, Fujita H, Sun X, Fang Z, Wang H, et al.
    Comput Biol Med, 2024 Aug;178:108733.
    PMID: 38897144 DOI: 10.1016/j.compbiomed.2024.108733
    BACKGROUND AND OBJECTIVES: Liver segmentation is pivotal for the quantitative analysis of liver cancer. Although current deep learning methods have garnered remarkable achievements for medical image segmentation, they come with high computational costs, significantly limiting their practical application in the medical field. Therefore, the development of an efficient and lightweight liver segmentation model becomes particularly important.

    METHODS: In our paper, we propose a real-time, lightweight liver segmentation model named G-MBRMD. Specifically, we employ a Transformer-based complex model as the teacher and a convolution-based lightweight model as the student. By introducing proposed multi-head mapping and boundary reconstruction strategies during the knowledge distillation process, Our method effectively guides the student model to gradually comprehend and master the global boundary processing capabilities of the complex teacher model, significantly enhancing the student model's segmentation performance without adding any computational complexity.

    RESULTS: On the LITS dataset, we conducted rigorous comparative and ablation experiments, four key metrics were used for evaluation, including model size, inference speed, Dice coefficient, and HD95. Compared to other methods, our proposed model achieved an average Dice coefficient of 90.14±16.78%, with only 0.6 MB memory and 0.095 s inference speed for a single image on a standard CPU. Importantly, this approach improved the average Dice coefficient of the baseline student model by 1.64% without increasing computational complexity.

    CONCLUSION: The results demonstrate that our method successfully realizes the unification of segmentation precision and lightness, and greatly enhances its potential for widespread application in practical settings.

    MeSH terms: Humans; Image Processing, Computer-Assisted/methods; Tomography, X-Ray Computed
  17. Kachko VA, Shulman LP, Kuznetsova IV, Uspenskaya YB, Burchakov DI
    Adv Ther, 2024 Aug;41(8):3183-3195.
    PMID: 38904899 DOI: 10.1007/s12325-024-02910-0
    INTRODUCTION: Perimenopause is a time of transition in a woman's life that links her reproductive years to the cessation of ovulation, or menopause. For many women, this time is characterized by a variety of physiological and lifestyle changes, including increasing irregularity in menstrual bleeding, frequency and severity of vasomotor symptoms, etc. Therapies evaluated specifically for the perimenopausal women are very limited. This study aimed to evaluate the effectiveness and safety of Amberen® (a succinate-based non-hormonal supplement) combined with a Smart B® (vitamin B) complex in women with typical (without complications) mild to moderate climacteric syndrome during perimenopause.

    METHODS: Women up to 50 years of age, in perimenopause, with vasomotor and psychosomatic symptoms of the climacteric syndrome were enrolled for the study. The trial was randomized, double-blinded, placebo-controlled, comparative, and prospective.

    RESULTS: A total of 106 participants were enrolled in the trial and, per protocol, 105 completed the trial. We observed statistically significant improvements in most of the Greene Climacteric Scale symptoms, State-Trait Anxiety Inventory (STAI), Hospital Anxiety and Depression Scale (HADS), and Well-being, Activity, and Mood (WAM) scores. The intervention was well tolerated with few adverse effects reported to be mild and transient.

    CONCLUSION: The use of this dietary supplement is safe and eliminates or improves vasomotor and psychosomatic symptoms of climacteric symptoms in perimenopausal women: it improves sleep and cognitive abilities, lowers depression and anxiety, improves mood and well-being, and positively affects quality of life.

    GOV IDENTIFIER: NCT03897738.

    MeSH terms: Adult; Anxiety; Depression; Double-Blind Method; Female; Humans; Middle Aged; Prospective Studies; Quality of Life; Syndrome; Vitamin B Complex/therapeutic use; Treatment Outcome; Hot Flashes/drug therapy; Dietary Supplements*; Perimenopause*
  18. Rasel MA, Abdul Kareem S, Kwan Z, Yong SS, Obaidellah U
    Comput Biol Med, 2024 Aug;178:108758.
    PMID: 38905895 DOI: 10.1016/j.compbiomed.2024.108758
    Melanoma, one of the deadliest types of skin cancer, accounts for thousands of fatalities globally. The bluish, blue-whitish, or blue-white veil (BWV) is a critical feature for diagnosing melanoma, yet research into detecting BWV in dermatological images is limited. This study utilizes a non-annotated skin lesion dataset, which is converted into an annotated dataset using a proposed imaging algorithm (color threshold techniques) on lesion patches based on color palettes. A Deep Convolutional Neural Network (DCNN) is designed and trained separately on three individual and combined dermoscopic datasets, using custom layers instead of standard activation function layers. The model is developed to categorize skin lesions based on the presence of BWV. The proposed DCNN demonstrates superior performance compared to the conventional BWV detection models across different datasets. The model achieves a testing accuracy of 85.71 % on the augmented PH2 dataset, 95.00 % on the augmented ISIC archive dataset, 95.05 % on the combined augmented (PH2+ISIC archive) dataset, and 90.00 % on the Derm7pt dataset. An explainable artificial intelligence (XAI) algorithm is subsequently applied to interpret the DCNN's decision-making process about the BWV detection. The proposed approach, coupled with XAI, significantly improves the detection of BWV in skin lesions, outperforming existing models and providing a robust tool for early melanoma diagnosis.
    MeSH terms: Algorithms; Artificial Intelligence; Humans; Image Interpretation, Computer-Assisted/methods; Skin/pathology; Databases, Factual; Neural Networks (Computer); Dermoscopy/methods
  19. Song D, Dong K, Liu S, Fu S, Zhao F, Man C, et al.
    Food Chem, 2024 Oct 30;456:140070.
    PMID: 38917694 DOI: 10.1016/j.foodchem.2024.140070
    Food adulteration and illegal supplementations have always been one of the major problems in the world. The threat of food adulteration to the health of consumers cannot be ignored. Food of questionable origin causes economic losses to consumers, but the potential health risks cannot be ignored. However, the traditional detection methods are time-consuming and complex. This review mainly discusses the types of adulteration and technologies used to detect adulteration. Matrix-assisted laser desorption ionization-time-of-flight mass spectrometry (MALDI-TOF MS) is also emphasized in the detection of adulteration and authenticity of origin analysis of various types of food (milk, meat, edible oil, etc.), and the future application direction and feasibility of this technology are analyzed. On this basis, MALDI-TOF MS was compared with other detection methods, highlighting the advantages of this technology in the detection of food adulteration. The future development prospect and direction of this technology are also emphasized.
    MeSH terms: Animals; Food Analysis/methods
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