Browse publications by year: 2025

  1. Johari MF, Chiew KL, Hosen AR, Yong KSC, Khan AS, Abbasi IA, et al.
    Sci Rep, 2025 Mar 10;15(1):8162.
    PMID: 40059218 DOI: 10.1038/s41598-025-92223-1
    Short Message Service (SMS) spam poses significant risks, including financial scams and phishing attempts. Although numerous datasets from online repositories have been utilized to address this issue, little attention has been given to evaluating their effectiveness and impact on SMS spam detection models. This study fills this gap by assessing the performance of ten SMS spam detection datasets using Decision Tree and Multinomial Naïve Bayes models. Datasets were evaluated based on accuracy and qualitative factors such as authenticity, class imbalance, feature diversity, metadata availability, and preprocessing needs. Due to the multilingual nature of the datasets, experiments were conducted with two stopword removal groups: one in English and another in the respective non-English languages. The key findings of this research have led to the recommendation of Dataset 5 for future SMS spam detection research, as evidence from the dataset's high qualitative assessment score of 3.8 out of 5.0 due to its high feature diversity, real-world complexity, and balanced class distribution, and low detection rate of 86.10% from Multinomial Naïve Bayes. Recommending a dataset that poses challenges for high model performance fosters the development of more robust and adaptable spam detection models capable of handling diverse forms of noise and ambiguity. Furthermore, selecting the dataset with the highest qualitative score enhances research quality, improves model generalizability, and mitigates risks related to bias and inconsistencies.
  2. Sakai S, Nagamitsu T, Harrison RD, Ichie T, Nomura M, Yumoto T, et al.
    Ecology, 2025 Mar;106(3):e70053.
    PMID: 40059664 DOI: 10.1002/ecy.70053
    Flowering and fruiting phenology can have large impacts on a plant's reproductive success. In many plant species, these phenological events are controlled by seasonal climatic cues, resulting in one-year reproductive cycles. However, parts of SE Asian tropical forests have an aseasonal climate with irregular fluctuations. This database comprises phenology records collected from 1993 to 2011 at the community level in an aseasonal lowland dipterocarp forest of the Lambir Hills National Park in Borneo. Observations were made every two weeks at three sites: The Canopy Biology Plot (CBP) with tree towers and walkways, the Operation Raleigh Tower (ORT) area with a tree tower for tourist attraction, and the Crane Plot located between the CBP and ORT, where plants were monitored from terraces on a canopy crane installed in 2000. The dataset includes in total 172,521 records of 450, 118, and 51 plants in CBP, Crane Plot, and ORT, respectively, representing 303 species. The number of individuals per species ranges from 1 to 21, and 64.9% are represented by only one. The plants in the censuses were mostly trees but also included lianas and epiphytes. The data have been used to study the causes and consequences of synchronized flowering and fruiting at the community level, a phenomenon unique to the region. Previous studies have shown that this synchronization is synergistically driven by cool air temperature and drought. Irregular flowering and fruiting have significant impacts on flower visitors, frugivores, forest material cycling, and plant regeneration. The dataset can also be used for comparing the phenology of the same species or group among forests and regions and exploring its association with climates. One major concern regarding tropical forests in the area is the effects of climate change on this community-wide masting regime, which could disrupt forest regeneration and ecosystem processes. The dataset could be an important source of information for conservation efforts aimed at protecting these amazingly diverse forest ecosystems. This dataset can be freely used for non-commercial purposes. Users of these data should cite this data paper in any publications resulting from its use and acknowledge the Forest Department Sarawak and Sarawak Forestry Corporation.
    MeSH terms: Borneo; Seasons; Time Factors; Forests
  3. Ahmed HMA, Noor NSM, Hasanusi HFB, Khalid PNAB, Nabhan MS, Noorani TY, et al.
    Aust Endod J, 2025 Mar 07.
    PMID: 40052624 DOI: 10.1111/aej.12930
    This micro-CT study evaluated the root canals of 135 mandibular incisors in a Malaysian subpopulation using Vertucci (1984) and Ahmed et al. (2017), whilst the accessory canals were classified using the Ahmed et al. (2018) system. The Fisher Exact test was used for analysis (p = 0.05). Results showed that 53% of the teeth had Type I/1MI1 canals, whilst Type III/1MI1-2-1 canals occurred significantly less often in 15% of teeth (p 
  4. Ng E, Lee YN, Taylor A, Shaheen F, Azizan E, Drake WM, et al.
    PMID: 40052842 DOI: 10.1210/clinem/dgaf081
    CONTEXT: Primary aldosteronism (PA) is commonly caused by somatic mutations of CACNA1D encoding Cav1.3, one of the four L-type calcium channels. The over-the-counter drug, cinnarizine, fits the Cav1.3 crystal structure pore domain.

    OBJECTIVE: We hypothesized that Cav1.3 blockade by cinnarizine may achieve similar, or greater, reduction in aldosterone secretion than nonselective Cav1.2/1.3 blockade by nifedipine.

    METHODS: Separate wells of angiotensin II-stimulated HAC15 cells were treated with either cinnarizine (1-30 μM) or nifedipine (1-100 μM). Aldosterone concentrations were measured in culture medium; RNA extraction and quantitative polymerase chain reaction were performed to evaluate CYP11B2 expression. A prospective, open-label, crossover study was conducted of 15 adults with PA, treated with 2 weeks of cinnarizine 30 mg 3 times a day or nifedipine extended release 60 mg daily, separated by a 2-week washout. The hierarchical primary outcome was change in aldosterone-to-renin ratio (ARR), urinary tetrahydroaldosterone (THA), and plasma aldosterone concentration (PAC). Blood pressure change was a secondary outcome. Parametric analysis was undertaken on log-transformed data. (ClinicalTrials.gov: NCT05686993).

    RESULTS: Both drugs reduced aldosterone concentrations and CYP11B2 expression in vitro. Mean changes ± SEM in fold change of aldosterone concentrations and CYP11B2 were -0.47 ± 0.05 and -0.56 ± 0.07, respectively, with cinnarizine 30 μM and -0.59 ± 0.05 and -0.78 ± 0.07 with nifedipine 100 μM. In the clinical crossover trial, ARR was reduced by nifedipine but not cinnarizine (F = 3.25; P = .047); PAC rose with both drugs (F = 4.77; P = .013), but urinary THA was unchanged.

    CONCLUSION: A Cav1.3 ligand, cinnarizine, reduced aldosterone secretion from adrenocortical cells, but at maximum-soluble concentrations was less effective than the nonselective calcium blocker, nifedipine. At clinical doses, cinnarizine did not reduce plasma ARR in patients with PA, and, as in vitro, was inferior to nifedipine. The limited efficacy of high-dose nifedipine may be due to incomplete Cav1.3 blockade, or to a role for non-L-type calcium channels in aldosterone secretion.

  5. Hew SY, Tan PY, Zhao K, Tan HY
    Curr Microbiol, 2025 Mar 07;82(4):175.
    PMID: 40053104 DOI: 10.1007/s00284-025-04137-w
    Economic sustainability and the emergence of infectious diseases remain critical challenges in tilapia aquaculture. Lactic acid bacteria (LAB) are well-known feed additives with probiotic effects in improving overall performance of livestock. This study evaluated the effects of host-associated probiotic, Leuconostoc lactis TARicum AI2, on growth performance, antioxidant, immune responses, and gut microbiota of red hybrid tilapia (Oreochromis sp.) by conducting an 86-day feeding trial. The probiotic, previously characterised for its beneficial traits, was coated on commercial feed at a concentration of 109 CFU g-1. Results showed tilapia fed with probiotic had significant improvement in feed conversion ratio (FCR) and protein efficiency ratio (PER) compared to the control group. Upregulation of cytokine expressions was observed in the probiotic group. Gut microbiota analysis revealed an increased abundance of the genera Clostridium and Leuconostoc in the probiotic-fed tilapia. Beta-diversity indices proved exclusive groups of bacteria present in specific diet only. In conclusion, L. lactis strain TARicum AI2 is a potential probiotic candidate in promoting growth in tilapia as the results suggested it could improve FCR and PER. Feed with lower FCR and higher PER could help tilapia farmers in reducing feed cost, which accounted for the major portion of their production cost. This further enables them to achieve cost-effective, enhanced productivity and economic sustainability in a long run.
    MeSH terms: Gastrointestinal Microbiome*; Animals; Aquaculture/methods
  6. Wong C, Mohamad Asfia SKB, Myles PS, Cunningham J, Greenhalgh EM, Dean E, et al.
    JAMA Netw Open, 2025 Mar 03;8(3):e250295.
    PMID: 40053349 DOI: 10.1001/jamanetworkopen.2025.0295
    IMPORTANCE: Surgical cancer treatments may be delayed for patients who smoke over concerns for increased risk of complications. Quantifying risks for people who had recently smoked can inform any trade-offs of delaying surgery.

    OBJECTIVE: To investigate the association between smoking status or smoking cessation time and complications after cancer surgery.

    DATA SOURCES: Embase, CINAHL, Medline COMPLETE, and Cochrane Library were systematically searched for studies published from January 1, 2000, to August 10, 2023.

    STUDY SELECTION: Observational and interventional studies comparing the incidence of complications in patients undergoing cancer surgery who do and do not smoke.

    DATA EXTRACTION AND SYNTHESIS: Two reviewers screened results and extracted data according to the Meta-Analyses of Observational Studies in Epidemiology (MOOSE) reporting guidelines. Data were pooled with a random-effects model and adjusted analysis was performed.

    MAIN OUTCOMES AND MEASURES: The odds ratio (OR) of postoperative complications (of any type) for people who smoke currently vs in the past (4-week preoperative cutoff), currently smoked vs never smoked, and smoked within shorter (2-week cutoff) and longer (1-year cutoff) time frames.

    RESULTS: The meta-analyses across 24 studies with a pooled sample of 39 499 participants indicated that smoking within 4 weeks preoperatively was associated with higher odds of postoperative complications compared with ceasing smoking for at least 4 weeks (OR, 1.31 [95% CI, 1.10-1.55]; n = 14 547 [17 studies]) and having never smoked (OR, 2.83 [95% CI, 2.06-3.88]; n = 9726 [14 studies]). Within the shorter term, there was no statistically significant difference in postoperative complications between people who had smoked within 2 weeks preoperatively and those who had stopped between 2 weeks and 3 months in postoperative complications (OR, 1.19 [95% CI, 0.89-1.59]; n = 5341 [10 studies]), although the odds of complications among people who smoked within a year of surgery were higher compared with those who had quit smoking for at least 1 year (OR, 1.13 [95% CI, 1.00-1.29]; N = 31 238 [13 studies]). The results from adjusted analyses were consistent with the key findings.

    CONCLUSIONS AND RELEVANCE: In this systematic review and meta-analysis of smoking cessation and complications after cancer surgery, people with cancer who had stopped smoking for at least 4 weeks before surgery had fewer postoperative complications than those smoking closer to surgery. High quality, intervention-based evidence is needed to identify the optimal cessation period and inform clinicians on the trade-offs of delaying cancer surgery.

    MeSH terms: Female; Humans; Male; Risk Factors; Smoking Cessation/statistics & numerical data
  7. Kirdthongkham T, Justine M, Siriphorn A
    PLoS One, 2025;20(3):e0319682.
    PMID: 40053534 DOI: 10.1371/journal.pone.0319682
    Gait prediction is critical in optimizing rehabilitation strategies for stroke survivors. This study evaluates the prognostic utility of the Stroke Rehabilitation Assessment of Movement (STREAM) scores, recorded at admission, for predicting walking ability at discharge and one-month follow-up. We assessed 47 stroke patients using STREAM at admission; walking independence was defined using two criteria: a Functional Ambulation Category (FAC) score >  3 and a 10-Meter Walk Test (10-MWT) speed ≥  0.4 m/s. The predictive validity of STREAM scores was analyzed using the area under the receiver operating characteristic curve (AUC). Sensitivity, specificity, and cut-off values were computed. The analysis revealed that a STREAM score above 38 at admission significantly predicted independent gait by discharge, evidenced by a high AUC of 0.897. At the one-month follow-up, a cut-off score of 29 continued to predict walking independence, with an AUC of 0.987. The subscores further enhanced predictive accuracy and highlighted the effectiveness of the STREAM assessment as a robust predictor of independent walking in stroke patients. These findings suggest the practicality of using STREAM scores to predict walking independence, which can guide the planning of more effective rehabilitation interventions. Trial registration TCTR20240323004 at www.thaiclinicaltrials.org.
    MeSH terms: Aged; Aged, 80 and over; Female; Follow-Up Studies; Gait/physiology; Humans; Male; Middle Aged; Patient Discharge*; Prognosis; ROC Curve; Walking*; Walk Test
  8. Yew SQ, Trivedi D, Adanan NIH, Chew BH
    J Med Internet Res, 2025 Mar 06;27:e63482.
    PMID: 40053793 DOI: 10.2196/63482
    BACKGROUND: Although the implementation process of digital health technologies (DHTs) has been extensively documented in high-income countries, the factors that facilitate and prevent their implementation in lower- and middle-income countries (LMICs) may differ for various reasons.

    OBJECTIVE: To address this gap in research, this scoping review aims to determine the facilitators and barriers to implementing DHTs in LMIC hospital settings following the onset of the COVID-19 pandemic. Additionally, the review outlined the types of DHTs that have been implemented in LMICs' hospitals during this pandemic and finally developed a classification framework to categorize the landscape of DHTs.

    METHODS: Systematic searches were conducted on PubMed, Scopus, Web of Science, and Google Scholar for studies published from March 2020 to December 2023. We extracted data on authors, publication years, study objectives, study countries, disease conditions, types of DHTs, fields of clinical medicine where the DHTs are applied, study designs, sample sizes, characteristics of the study population, study location, and data collection methods of the included studies. Both quantitative and qualitative data were utilized to conduct a thematic analysis, using a deductive method based on the Practical, Robust Implementation and Sustainability Model (PRISM), to identify facilitators and barriers to DHT implementation. Finally, all accessible DHTs were identified and organized to create a novel classification framework.

    RESULTS: Twelve studies were included from 292 retrieved articles. Telemedicine (n=5) was the most commonly used DHT in LMICs' hospitals, followed by hospital information systems (n=4), electronic medical records (n=2), and mobile health (n=1). These 4 DHTs, among the other existing DHTs, allowed us to develop a novel classification framework for DHTs. The included studies used qualitative methods (n=4), which included interviews and focus groups, quantitative methods (n=5), or a combination of both (n=2). Among the 64 facilitators of DHT implementation, the availability of continuous on-the-job training (n=3), the ability of DHTs to prevent cross-infection (n=2), and positive previous experiences using DHTs (n=2) were the top 3 reported facilitators. However, of the 44 barriers to DHT implementation, patients with poor digital literacy and skills in DHTs (n=3), inadequate awareness regarding DHTs among health care professionals and stakeholders (n=2), and concerns regarding the accuracy of disease diagnosis and treatment through DHTs (n=2) were commonly reported.

    CONCLUSIONS: In the postpandemic era, telemedicine, along with other DHTs, has seen increased implementation in hospitals within LMICs. All facilitators and barriers can be categorized into 6 themes, namely, (1) Aspects of the Health Care System; (2) Perspectives of Patients; (3) External Environment; (4) Implementation of Sustainable Infrastructure; (5) Characteristics of Health Care Organization; and (6) Characteristics of Patients.

    MeSH terms: Developing Countries*; Hospitals/statistics & numerical data; Humans; Biomedical Technology; Pandemics*
  9. George R, Chow LS, Lim KS, Ramli N, Tan LK, Solihin MI
    Biomed Phys Eng Express, 2025 Mar 19;11(3).
    PMID: 40054011 DOI: 10.1088/2057-1976/adbdd3
    Introduction. Tumor-related epilepsy is a prevalent condition in patients with gliomas. Accurate prediction of epilepsy is crucial for early treatment. This study aimed to evaluate the novel application of the eXtreme Gradient Boost (XGBoost) machine learning (ML) algorithm into a radiomics model predicting preoperative tumor-related epilepsy (PTRE). Its performance was compared with 4 conventional ML algorithms, including the least absolute shrinkage and selection operator (LASSO), elastic net, random forest, and support vector machine.Methods.This study used four magnetic resonance imaging (MRI) images consisting of four sequences (T1-weighted [T1W], T1-weighted contrast [T1WC], T2-weighted [T2W], and T2-weighted fluid-attenuated inversion recovery [T2W FLAIR]) acquired from 74 glioma patients, 30 with PTRE and 44 without PTRE. 394 radiomics features were extracted from the MRI scans usingPyradiomics, alongside 12 clinical features from the medical records. The ML algorithms were mixed and matched to create 20 radiomics models with two stages for: (1) feature selection and (2) prediction of PTRE. Nested cross-validation was used to tune the algorithms and select the stable features.Results.The XGBoost radiomics model demonstrated the second-highest balanced accuracy and F1-score of 0.81 ± 0.01 and 0.80 ± 0.01 respectively. It also achieved the highest recall of 0.81 ± 0.02. It used mostly textural radiomics features from the T1W, T2W and T2W FLAIR sequences to make the predictions.Conclusion.This study demonstrates that XGBoost is a viable alternative to conventional ML algorithms for developing a radiomics model to predict PTRE, as the model produced from XGBoost had among the highest metrics. XGBoost selected features with a higher predictive value than other models. The features selected by XGBoost were more stable, which is a useful property for radiomics analysis. Features selected from multiple MRI sequences were important in the model's decision.
    MeSH terms: Machine Learning*; Adult; Aged; Algorithms*; Female; Humans; Image Processing, Computer-Assisted/methods; Male; Middle Aged; Young Adult; Support Vector Machine
  10. Nik Mohd Hasan NFF, Arkesteijn SJG, Ter Huurne J, Verschuren M, Bhagwandien-Bisoen S, Schaap R, et al.
    Int J Lab Hematol, 2025 Apr;47(2):326-329.
    PMID: 39380484 DOI: 10.1111/ijlh.14381
  11. AlSahow A, Alkandari O, Bahbahani Y, AlYousef A, AlHelal B, AlRajab H, et al.
    Med Princ Pract, 2025 Feb 04.
    PMID: 39904326 DOI: 10.1159/000543882
    INTRODUCTION: Continuous dialysis in hemodynamically stable patients with acute kidney injury (AKI) may impact outcomes differently than intermittent dialysis. We evaluated differences in patient and kidney outcomes between the two modalities.

    METHODS: Clinical and 30-day outcome data for inpatients with AKI who were hemodynamically stable and not on ventilation and who received intermittent hemodialysis (IHD) or continuous kidney replacement therapy (CKRT) in public hospitals in Kuwait from January 1 to December 31, 2021, were prospectively collected.

    RESULTS: We recruited 229 patients (age: 59.9 years; males, 60.3%; baseline estimated baseline glomerular filtration [eGFR], 56 mL/min). CKRT accounted for 72.9% of cases due to lack of access to water treatment. No statistically significant differences were observed between groups in terms of age, baseline eGFR, sex, comorbidities, cause of AKI, or fluid administration. The intensive care unit contributed 21% of cases, with no significant difference between groups. More IHD patients received diuretics (62.9% vs. 43.1% for CKRT, p = 0.008). At 30 days, 21.8% of patients had died. There was no statistically significant difference in mortality between groups (16.1% for IHD vs. 24% for CKRT, p = 0.2). Final eGFR was 53.2 mL/min, with no difference between groups. Complete kidney recovery was greater with CKRT (33.1% vs. 13.5%, p = 0.009). Baseline eGFR < 60 mL/min did not influence mortality or kidney recovery.

    CONCLUSION: Compared with IHD, CKRT did not lower mortality at 30 days, which is similar to that of randomized trials; however, it was associated with better complete kidney recovery, which was reported in observational studies.

  12. Newall J, Kim R, Dawes P, Alnafjan F, Vaughan G, Carkeet D, et al.
    Int J Audiol, 2025 Mar 06.
    PMID: 40047323 DOI: 10.1080/14992027.2025.2466746
    OBJECTIVE: The majority of individuals with hearing loss worldwide reside in low- and middle-income countries (LMICs), but there is limited information regarding the characteristics of hearing loss in these regions. This descriptive study aims to address this knowledge gap by analysing audiogram patterns in LMIC populations. Greater knowledge about the properties of hearing loss in LMICs allows for improved planning of interventions.

    STUDY SAMPLE: Retrospective data from 23 collaborating centres across 16 LMICs were collected. All participants were adults seeking help for hearing problems. A machine learning approach was utilised to classify the hearing threshold data and identify representative profiles. The study comprised 5773 participants.

    RESULTS: The results revealed mildly sloping audiometric patterns with varying severity. The patterns differed from previous studies conducted in high-income regions which included more steeply sloping losses. The findings also indicated a higher proportion of more severe levels of hearing loss.

    CONCLUSIONS: These variations could be attributed to population-level differences in the causative mechanisms of hearing loss in LMICs, such as a higher prevalence of infectious disease-related hearing loss. The results may also reflect differences in health seeking behaviours. This study highlights the need for tailored, scalable, hearing interventions for LMICs.

  13. Chik MW, Meor Mohd Affandi MMR, Mohd Nor Hazalin NA, Surindar Singh GK
    Metab Brain Dis, 2025 Mar 06;40(3):136.
    PMID: 40047916 DOI: 10.1007/s11011-025-01560-7
    Astaxanthin derived from natural sources has excellent antioxidant and anti-inflammatory effects, and it is currently being widely researched as a neuroprotectant. However, astaxanthin possesses low oral bioavailability, and thus, astaxanthin extract from Haematococcus pluvialis was formulated into a nanoemulsion to improve its bioavailability and administered to Alzheimer's disease (AD)-like rats to study its possible neuroprotective benefits. Astaxanthin nanoemulsion was administered orally once a day for 28 days to streptozotocin (STZ)-induced AD rats at concentrations of 160, 320, and 640 mg/kg of body weight (bw) and subsequently assessed for cognitive function using behavioral assessments. Brain samples were collected for the assessment of AD biomarkers. Astaxanthin nanoemulsion at a dosage of 640 mg/kg bw significantly improved spatial learning, spatial memory, and recognition memory against STZ-AD rats. At 320 and 640 mg/kg bw, astaxanthin nanoemulsion significantly reduced levels of hippocampus synaptosomal amyloid beta and paired-helical fibrillary tau protein while increasing neuron survival. Additionally, astaxanthin nanoemulsion at 640 mg/kg bw significantly increased acetylcholine levels in the hippocampus and cerebellum. Astaxanthin nanoemulsion at all treatment dosages significantly reduced malondialdehyde, a lipid peroxidation product, and neuroinflammatory mediators (GFAP and TNF-α). Astaxanthin nanoemulsion supplementation has the potential to improve cognitive function and synaptic function by lowering amyloid beta and tau levels, as well as preserve neuron integrity by reducing neuroinflammation and lipid peroxidation, indicating that it may be able to treat some of the underlying causes of AD.
    MeSH terms: Animals; Disease Models, Animal; Emulsions*; Hippocampus/drug effects; Hippocampus/metabolism; Male; Streptozocin*; Synapses/drug effects; Synapses/metabolism; Rats, Sprague-Dawley; Rats, Wistar; Neuroprotective Agents/pharmacology; Neuroprotective Agents/therapeutic use; Rats
  14. Alnaqbi KA, Alaswad M, Alasfour S
    Clin Rheumatol, 2025 Mar 06.
    PMID: 40047988 DOI: 10.1007/s10067-025-07388-x
    INTRODUCTION/OBJECTIVES: Rheumatic and musculoskeletal diseases (RMD) are prevalent among Arabic-speaking patients in the Middle East and North Africa (MENA), yet their perspectives remain underexplored. This study examines patient experiences and perspectives.

    METHOD: A cross-sectional survey was developed using pilot testing with clinimetric sensibility assessment to ensure clarity and relevance, and the Open-Source Metric for Measuring Arabic Narratives (OSMAN) to assess readability. The Checklist for Reporting Internet E-Surveys (CHERRIES) was used to enhance the quality of the survey. The survey was distributed via social media to Arabic-speaking patients with self-reported RMDs. Collected data included demographics, disease characteristics, medication use, treatment satisfaction factors, perceived causes, and patient concerns.

    RESULTS: Of the 1050 responses received, 456 were complete and included in the analysis. Most respondents were female (81.4%) and between the ages of 25 and 44 (63.4%). The most frequently reported diseases were systemic lupus erythematosus, rheumatoid arthritis, and ankylosing spondylitis. Nearly all (97.1%) used medications within the previous three months, primarily hydroxychloroquine, glucocorticoids, and biologics. Key factors influencing treatment satisfaction were pain relief, laboratory result discussions, sleep quality, and mood improvement. Patients perceived immune system abnormalities (76.5%), psychological factors (54.8%), and genetics (41.7%) as primary disease causes. Main concerns included fear of disease complications, adverse drug reactions, and being a burden to others. Rheumatologists and internet search engines were the primary sources of information for patients. Most avoided alternative medicine, while 33.3% used it.

    CONCLUSION: This survey is the first and largest in the MENA region, providing valuable insights into patient perspectives on RMD. It highlights the need for holistic management, enhanced education, and supportive services to improve quality of life. Key Points • The most commonly perceived causes of rheumatic and musculoskeletal diseases among patients with RMD were immune system abnormalities, psychological factors, genetic/hereditary influences, and envy. • Patients' top concerns included fear of future complications, adverse drug reactions, becoming a burden to others, physical disability, and issues related to marriage and childbirth. • Key factors influencing treatment satisfaction included pain relief, discussions of laboratory results, sleep quality, and mood improvement. • Approximately one-third of patients had consulted practitioners of complementary and alternative medicine.

  15. Afolabi HA, Salleh SM, Zakaria Z, Seng CE, Nafi SNM, Aziz AABA, et al.
    Discov Oncol, 2025 Mar 06;16(1):268.
    PMID: 40048017 DOI: 10.1007/s12672-025-01960-2
    BACKGROUND: Colorectal cancer (CRC) is the second most common cancer in men and third in females, a heterogeneous disease involving multistep mechanisms that represents 10% of all cancers globally. This study investigates gene mutation profiling in CRC using Next-Generation sequencing machine.

    METHOD: Formalin-fixed paraffin-embedded tissues of 30 CRC patients were retrieved and reviewed. DNA was isolated from selected tissues. Desirable quality check using Qubit and Nanoquant machine was done, and desirable libraries prepared were loaded into the sequencer for sequencing. Using Illumina BaseSpace and Illumina Variant interpreter, generated FastQ data were treated for annotation, alignment, and mapping with reference genome. Sequencing-runs with Phred-score ≥ 30 were selected as desirable runs. Finally, the variants were validated on NCBI-dsSNP and Ensembl databases for clinical consequence interpretations.

    RESULTS: Overall, patient distribution consists of 12(40%) females and 18 (60%) males with mean age (53.2 + 5.3). most patients were in TNM stage-3: 53.3% (15/30) and the least was Stage-4: 20%(6/30) respectively. Overall, 73.3%: (22/30) completed the sequencing, and 552 mutations involving 29 genes and 12 chromosomes were detected. The most upregulated variants are KIT:68(12.3%), FGFR4:61(11.1%), EGFR:60(10.9%), ALK:53(9.6%), DCUN1D1:41(7.4%), PDGFR:40(7.2%), KRAS:33(6.0%), CDK4:27(4.9%), FGFR3:26(4.7%), MTOR:14(2.6), while NRAS, CDK6, PIK3CA, and RET each has 13(2.4%) apiece. Chromosomes 4:134/55(24.2%), chr7:84/552(15.2%), chr12:71/552(12.9%), chr5:64/552(11.6%), chr2:61/552(11.1%), chr3:54/552(9.8%), and chr1:43/552(7.8%) are the most involved chromosomes. Nine genes (APC, NRAS, ALK, PIK3CA, KRAS, IDH1, FGFR1, ERBB2, and ESR1) are identified as pathogenic-causing variants in CRC.

    CONCLUSION: This is the first NGS-based molecular study on FFPE-CRC tissues in hospital-USM that showed the most upregulated variants in CRC and identified nine genes as crucial pathogenic variants.

  16. Sekar K, Ramanathan A, Khalid R, Mun KS, Valliappan V, Ismail SM
    Oral Maxillofac Surg, 2025 Mar 06;29(1):62.
    PMID: 40048046 DOI: 10.1007/s10006-025-01356-0
    PURPOSE OF REVIEW: Multiple primary tumours (MPTs) are a rare clinical entity, and the co-occurrence of synchronous and metachronous MPTs in a single patient is even more exceptional. In the context of Erdheim-Chester Disease (ECD), an already uncommon disorder, the presentation of this disease in the oral cavity is notably rare. Furthermore, the simultaneous presence of ECD in the oral cavity and a Giant Cell Tumour (GCT) in a long bone has not been previously reported in medical literature.

    RECENT FINDINGS: This case report presents the first documented instance of such a unique clinical scenario. The marked histological disparities between GCT and ECD further underscore the enigmatic nature of this case. The intricate interplay of genetic, environmental, and pathophysiological factors that led to the simultaneous development of two distinct neoplasms in the same patient is yet to be fully elucidated. This case not only challenges our understanding of the etiology of these conditions but also emphasizes the importance of a multidisciplinary approach to the evaluation and management of such complex cases. The confluence of rare entities, the diagnostic complexities they introduce, and the imperative need for tailored treatment strategies exemplify the intricate landscape of oncological care. This case serves as a compelling reminder of the many unknown facets of disease etiology and the significance of collaborative medical efforts in offering the best possible care for patients confronting exceptionally rare clinical presentations.

    MeSH terms: Female; Humans; Male; Middle Aged; Mouth Neoplasms/pathology; Giant Cell Tumor of Bone/pathology
  17. Odubela CA, Yaacob H, Warid MNBM, Karim KJA, Kamaruddin NHBM, Al-Saffar ZH, et al.
    Environ Sci Pollut Res Int, 2025 Mar;32(13):8025-8034.
    PMID: 40048063 DOI: 10.1007/s11356-025-36193-x
    Utilizing waste materials and reclaimed asphalt pavement (RAP) in road construction is gaining research interest. The pricey nature of building roads is attributed to the energy required for new material production and its environmental impact. The study investigated rheological and chemical properties of reclaimed asphalt pavement using PET additive as a modifier. The materials used in this study are virgin bitumen (VB), RAP bitumen (RB), and PET bottles. The synthesis of PET bottle into PET-derived additives was carried out, using aminolysis method in the presence of triethylenetriamine (TETA) as a solvent. Additionally, polymer-modified bitumen (PMB) was created by adding 2% PET additive with VB. The findings showed that utilizing PMB with RB in asphalt blend improved RB's brittle effect and has high resistance to deformation at high temperature. Moreover, the effect of the PMB on the asphalt binder did not alter the functional group while there was a reduced mass loss for PMB. Consequently, PET additives can be used to improve the quality of asphalt mixture in road construction, thus enhancing sustainability.
    MeSH terms: Construction Materials*; Rheology*
  18. Cai R, Tan CP, Lai OM, Dang Y, Liu A, Pan D, et al.
    J Agric Food Chem, 2025 Mar 19;73(11):6890-6902.
    PMID: 40048467 DOI: 10.1021/acs.jafc.5c00868
    Cold argon plasma (CAP) effectively modifies casein (CN) structures by cleaving peptide chains and altering allergenic epitopes. This study assessed the allergenicity of CAP-treated CN in KU812 cells and BALB/c mouse models, supported by a multiomics approach integrating 16S rDNA sequencing, serum metabolomics, and jejunal transcriptomics. CAP treatment reduced CN allergenicity, evidenced by decreased KU812 cell degranulation, alleviated allergic responses in mice, and a Th1/Th2 balance shift toward Th1 dominance. Furthermore, CAP-treated CN restored the gut microbiota equilibrium, increasing the number of beneficial bacteria. Multiomics analysis highlighted its impact on lipid metabolism pathways, with Zbp1 and Hbb-bt identified as potential regulators of allergic responses. These findings underscore the potential of cold argon plasma as an innovative strategy to reduce food allergenicity through multifaceted physiological mechanisms, offering promising therapeutic applications in food allergy management.
    MeSH terms: Gastrointestinal Microbiome; Animals; Bacteria/genetics; Bacteria/immunology; Female; Humans; Mice, Inbred BALB C*; Mice; Plasma Gases/pharmacology
  19. Ching XL, Samsol S, Rusli MU, Aqmal-Naser M, Bidai JA, Sonne C, et al.
    Chemosphere, 2025 Mar 05;375:144223.
    PMID: 40049002 DOI: 10.1016/j.chemosphere.2025.144223
    In this study, we studied the environment factors such as plastics and heavy metals affecting the blood and cloacal microbiome of green (Chelonia mydas) and hawksbill (Eretmochelys imbricata) in captivity. By non-metric multidimensional scaling analysis, data has shown that the environment factors (p = 0.02), rather than species differences (p = 0.06), significantly influenced the composition of the cloacal microbiota of green and hawksbill turtles. The cloacal microbiota of both captive green and hawksbill turtles was dominated by several similar dominant phyla at differential abundance. Green turtles' cloacal microbiome was made up of 46% of Proteobacteria, 31% of Bacteroidota, 11% of Campylobacterota and 4% of Firmicutes, while the hawksbill turtles' cloacal microbiome was made up of 33% of Bacteroidota, 18% of Firmicutes, 17% of Proteobacteria, and 2% of Campylobacterota. Water conductivity, salinity, microplastic polymers (polycarbonate, polyethylene terephthalate, polystyrene), and copper are positively associated (p 
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