Browse publications by year: 2026

  1. Younossi ZM, Yilmaz Y, Yu ML, El-Kassas M, Castellanos Fernandez M, Eguchi Y, et al.
    J Clin Gastroenterol, 2026 Oct 22.
    PMID: 42925568 DOI: 10.1097/MCG.0000000000002458
    BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with health-related quality of life (HRQL) impairment, which can be exacerbated by pruritus, fatigue, and/or sleep disorders. We assessed the prevalence of significant pruritus, fatigue, and sleep disorders in patients with MASLD and evaluated their association with HRQL and work productivity loss.

    METHODS: Patients with MASLD were prospectively enrolled into the Global NAFLD/MASLD Registry. Clinical and HRQL (per CLDQ-MASH and WPAI:SHP questionnaires) data were analyzed according to the presence of significant pruritus, significant fatigue, and sleep disorders.

    RESULTS: A total of 8034 patients with MASLD from 39 countries (age 54±12 years, 46% male, 50% type 2 diabetes, 39% advanced fibrosis) were included. At baseline, 25% reported significant pruritus, 35% significant fatigue, and 34% sleep disorders, and 10% had all 3 symptoms. Patients with fatigue, pruritus, or sleep disorder were more likely to be female, have higher BMI, more metabolic comorbidities, and greater psychiatric burden. At 1-year follow-up, over half of the patients with baseline symptoms continued to experience them, and 14% to 18% developed de novo symptoms. Multivariate analyses showed that significant pruritus and sleep disorders each independently predicted fatigue [OR=9.51 (8.0-11.3)] when both conditions were present. Pruritus was a strong predictor of sleep disorders [OR=2.90 (2.6-3.3)]. All 3 conditions, especially fatigue, were independently associated with significantly impaired HRQL and work productivity loss.

    CONCLUSION: Clinically significant fatigue, pruritus, and sleep disorders are common in MASLD, having a negative impact on HRQL and a substantial economic burden.

  2. Chen JL, Shari NI, Duan XF, Zheng LN, Wu WY
    Midwifery, 2026 Oct 21;164:105025.
    PMID: 42925832 DOI: 10.1016/j.midw.2026.105025
    BACKGROUND: Midwives are frequently exposed to traumatic childbirth events, which may lead to vicarious traumatization (VT) but also foster vicarious posttraumatic growth (VPTG). Although empathy has been associated with VPTG, the cognitive processes underlying this association remain unclear. This study examined the direct and indirect associations between empathy and VPTG through core beliefs and search for meaning among midwives.

    METHODS: This cross-sectional study was conducted from May to September 2024. A total of 306 midwives who had witnessed traumatic childbirth events were recruited from four hospitals in Shiyan, China. VPTG, empathy, core beliefs, and search for meaning were measured using validated questionnaires. A theory-informed structural equation model with bias-corrected bootstrap analysis was used to examine the hypothesized direct and indirect associations.

    RESULTS: Greater empathy, greater re-examination of core beliefs, and a more active search for meaning were each correlated with greater VPTG (P 

  3. Hanapi IM, Alitar SR, Muhamad M, Ab-Rahim S
    ScientificWorldJournal, 2026;2026(1).
    PMID: 42926357 DOI: 10.1155/tswj/5346779
    Osteosarcoma (OS) is a malignant bone tumour that mostly affects adolescents. Although conventional treatment approaches improved disease prognosis significantly, high metastasis rate and recurrence impose a substantial disease burden on patients. Therefore, innovation of targeted therapy is of pressing importance towards better disease prognosis. Several in vitro studies using microRNA delivered via mesenchymal stem cell-derived extracellular vesicles presented significant results in reducing OS metastatic properties. Henceforth, the objective of this study, which is to compile and analyse data from relevant studies, subsequently provides a comprehensive and evidence-based summary that validates the tumour-suppressive role of miRNA-loaded MSC-derived EVs targeting OS metastasis. Studies were systematically selected from three databases: PubMed, Web of Science and Scopus, according to the PRISMA criteria and flowchart. Experimental data regarding proliferation, apoptosis, migration and invasion were extracted using WebPlotDigitizer and analysed using the Comprehensive Meta-Analysis (CMA) software. A systematic search from databases identified 33 studies, with four studies fulfilling the inclusion and exclusion criteria after final screening process. The pooled meta-analysis demonstrated that miRNA-loaded MSC-derived EVs were associated with a significant decrease in proliferation, migration and invasion rates of the OS cells, with a significant increase in apoptosis rate. Moreover, low to moderate heterogeneity was observed across selected studies. This review confirms that miRNA-loaded MSC-derived EVs significantly suppressed OS metastasis by inhibiting proliferation, migration and invasion while promoting apoptosis. However, clinical translation is currently limited by the lack of standardised protocols necessary for large-scale trials to validate EV-based therapies as a potential therapeutic approach in the future.
    MeSH terms: Cell Movement; Humans; Apoptosis; Cell Proliferation
  4. Rathnam JTT, Rajasekhar M, Longley RJ, Abraham A, William T, Sakam SS, et al.
    Res Sq, 2026 Oct 11.
    PMID: 42926984 DOI: 10.21203/rs.3.rs-11044112/v1
    Background Pre-existing antibodies to Plasmodium vivax may cross-react with P. knowlesi and influence infection outcomes. We investigated whether baseline P. vivax antibody levels affect parasitaemia and clearance in knowlesi malaria. Methods Total IgG to 21 P. vivax antigens was quantified in pre-treatment plasma from patients in three Malaysian clinical trials. Parasitaemia was assessed 6-hourly by microscopy and clearance half-life estimated. Antibody associations with P. knowlesi baseline parasitaemia and clearance were identified using regression and machine learning approaches (elastic net regression and random forests). Results Data were available for 134 patients (median age 37 years, 37% with prior malaria). Five antibodies were associated with reduced baseline P. knowlesi parasitaemia (0.75-0.90-fold lower per two-fold increase, 95% CIs ranging from 0.65-1.00). Median P. knowlesi parasite clearance half-life was 2.6 hours (IQR 2.1-3.2). Two antibodies were associated with slightly slower parasite clearance (1.04-fold increases in mean clearance half-life per two-fold antibody level). Within-group correlation analyses revealed widespread, positive antibody associations in P. knowlesi infections, with weaker but coordinated (RBP and DBP family) responses in malaria-negative endemic controls. Conclusions Cross-reactive P. vivax antibodies may partially constrain P. knowlesi parasitaemia, but functional studies are needed to clarify their role in immunity and zoonotic transmission.
  5. Priya S, Malviya R, Chandra P, Sridhar SB, Shareef J, Wadhwa T, et al.
    Parasite Epidemiol Control, 2026 Nov;35:e00557.
    PMID: 42927058 DOI: 10.1016/j.parepi.2026.e00557
    Dengue is a serious mosquito-borne viral disease caused by four antigenically distinct serotypes of the dengue virus, of which DENV-1 and DENV-2 have been found to play significant roles in outbreaks and severe disease across different geographical areas. This review discusses the epidemiology, host-virus interactions, pathogenesis, clinical manifestations, severity, vaccination, and integrated control strategies of DENV-1 and DENV-2. The relevant literature was identified by searching major scientific databases using keywords related to DENV-1, DENV-2, dengue epidemiology, pathogenesis, clinical severity, immune responses, vaccination, and vector control; studies were selected for relevance to the review's objectives. The evidence suggests that DENV-1 and DENV-2 share a number of major mechanisms in causing disease, including viral replication, innate immune modulation, endothelial dysfunction mediated by viral NS1, inflammatory response, and antibody-dependent enhancement, but that clinical outcomes are variable and may depend on viral genotype/lineage, prior dengue exposure, host immunity, age, geographical context, and study population. Furthermore, epidemiological and clinical studies have been unable to rank the severity of DENV-1 and DENV-2, as both serotypes have been reported to cause severe dengue across different settings and conditions. The available data thus suggest that the severity of dengue is multifactorial and not serotype-dependent. Ongoing comparative studies that integrate viral genetics, host immune responses, epidemiology, vaccines, and vector control are needed to enhance serotype-specific dengue prevention and clinical management.
  6. Rastegari H, Khezri R, Saravi HN, Rahmat RF, Nadi F
    MethodsX, 2026 Dec;17:104206.
    PMID: 42927124 DOI: 10.1016/j.mex.2026.104206
    Global production of grapes and its associated waste streams continue to rise, but providing robust decision-making support for optimum valorization pathways remains a significant challenge. The emission intensity, free fraction, chemical diversity, and market performance indices have been rarely assessed in combination to establish a data-driven framework for grapevine berry valorization. To bridge this gap, a secondary open-access dataset was assessed in this study. This dataset synthesized published literature on volatile organic compound profiles across diverse grapevine berry samples.•Pearson correlation analysis conducted between emission intensity and diversity index.•t-test and ANOVA analysis performed to assess differences in diversity index across berry types and tissue sources.•Market performance analysis conducted to identify high-priority compounds for targeted extraction.•Emission intensity, free fraction, diversity index, and market performance indices were integrated into a unified valorization mapping system.•A multi-criteria evaluation framework developed for resource recovery decision-making.
  7. Rahman MDS, Humayara F, Rabbi SME, Rashid MM
    J Imaging Inform Med, 2026 Oct;39(5):3972-3986.
    PMID: 41402617 DOI: 10.1007/s10278-025-01770-6
    Content-based mammographic image retrieval requires exact BIRADS categorical matching across five classes, posing far greater complexity than conventional binary classification. Existing studies remain limited by small sample sizes, improper patient-level separation, and inadequate statistical validation, restricting clinical translation. We developed a comprehensive evaluation framework systematically comparing CNN architectures (DenseNet121, ResNet50, VGG16) under advanced training strategies: fine-tuning, metric learning, and super-ensemble optimization. Rigorous patient-stratified splits (1003 patients, two images each), 602 test queries, and bootstrap confidence intervals (1000 resamples) ensured reliable assessment. Advanced fine-tuning and test-time augmentation (TTA) yielded a precision@10 of 34.71% for DenseNet121 _AdvancedFT_TTA, a 25.74% improvement over the baseline ResNet50 (27.6%). Selective super-ensemble and metric learning approaches were further benchmarked under patient-exclusive splits, confirming robust performance across architectures. Statistical analysis (bootstrap CIs, n = 1000; t-tests p  0.8) validated significant gains and reproducibility. These results establish DenseNet121_AdvancedFT_TTA as the new state-of-the-art for five-class BIRADS retrieval while reducing computational cost.
    MeSH terms: Female; Humans
  8. Li M, Ang MC, Albadr MAA, Chaw JK, Liu J, Ng KW, et al.
    J Imaging Inform Med, 2026 Oct;39(5):4417-4438.
    PMID: 41591609 DOI: 10.1007/s10278-025-01836-5
    The rapid development of machine learning (ML) and deep learning (DL) has greatly advanced Alzheimer's disease (AD) diagnosis. However, existing models struggle to capture weak structural features in the marginal regions of brain MRI images, leading to limited diagnostic accuracy. To address this challenge, we introduce a Dual-Branch Convolutional Neural Network (DBCNN) equipped with a Learnable Edge Detection Module designed to jointly learn global semantic representations and fine-grained edge cues within a unified framework. Experimental results on two public datasets demonstrate that DBCNN significantly improves classification accuracy, surpassing 98%. Notably, on the OASIS dataset, it achieved an average accuracy of 99.71%, demonstrating strong generalization and robustness. This high diagnostic performance indicates that the model can assist clinicians in the early detection of Alzheimer's disease, reduce subjectivity in manual image interpretation, and enhance diagnostic consistency. Overall, the proposed approach provides a promising pathway toward intelligent, interpretable, and computationally efficient solutions for MRI-based diagnosis, offering strong potential to support early clinical decision-making.
    MeSH terms: Humans; Neural Networks (Computer)*
  9. Bonora M, Perak S, Kopp S, Garcia Morales J, Benauer R, Lunzer M, et al.
    Ann Biomed Eng, 2026 Nov;54(11):4082-4093.
    PMID: 41896424 DOI: 10.1007/s10439-026-04108-7
    PURPOSE: Surface micropatterning is being explored as a strategy to mitigate thrombus formation and reduce long-term anticoagulation requirements in left ventricular assist devices (LVADs). This study investigated whether specific micro-topographies can modulate platelet deposition under LVAD supraphysiological wall shear stress (WSS) conditions.

    MATERIALS AND METHODS: A custom microfluidic platform was developed to generate a linear WSS gradient from 16 to 130 Pa. Microchannels were patterned with reverse cones and hemispheres in small (1-3 µm) and large (3-9 µm) sizes using two-photon polymerization and nanoimprinting. Human blood was perfused through the microchannels, and platelet deposition was quantified over time as the area coverage ratio (Aₚₗₜ/Aₜₒₜ) and area under the curve (AUC). Platelet detachment events were counted as an indicator of thrombus stability, and computational simulations supported the interpretation of local shear conditions.

    RESULTS: Consistent trends emerged, although no statistical differences were observed relative to flat controls. Aₚₗₜ/Aₜₒₜ increased with WSS for all surfaces. At 16 Pa, small and large cones reduced platelet adhesion by approximately 84 and 98%, respectively, compared to flat controls. At 49 Pa, the reduction was about 95% for small cones and 80% for large cones. Conical geometries also promoted platelet washout at higher WSS. Small hemispherical features showed more than 50% lower platelet adhesion than flat surfaces for WSS > 16 Pa, with limited thrombus growth.

    CONCLUSION: Conical micropatterns may be most effective at limiting platelet adhesion at lower WSS, while small hemispheres may perform better at higher WSS. These trends suggest a surface-shear interaction that warrants further investigation for LVAD surface optimization.

    MeSH terms: Blood Platelets*; Humans; Platelet Adhesiveness*; Surface Properties
  10. Heerspink HJL, Noronha IL, Górriz JL, Lim SK, Kotwal SS, Kirsztajn GM, et al.
    J Am Soc Nephrol, 2026 Sep 01;37(9):2004-2015.
    PMID: 41904616 DOI: 10.1681/ASN.0000001076
    KEY POINTS: Patients with IgA nephropathy and proteinuria are at risk of kidney failure despite use of guideline-recommended renin-angiotensin system and sodium-glucose cotransporter 2 (SGLT2) inhibition. Atrasentan reduces proteinuria in IgA nephropathy, but its efficacy as adjunct to renin-angiotensin system and SGLT2 inhibition has not been rigorously tested. Atrasentan provided a clinically meaningful reduction in proteinuria in adults with IgA nephropathy treated with renin-angiotensin system and SGLT2 inhibitors.

    BACKGROUND: Atrasentan, a highly selective endothelin-A receptor antagonist, is approved for proteinuria reduction in adults with IgA nephropathy. Renin-angiotensin system inhibitors (RASi) and sodium-glucose cotransporter 2 inhibitors (SGLT2i) are guideline recommended, yet the additional benefit of atrasentan has not been rigorously determined.

    METHODS: We performed a randomized, double-blind, placebo-controlled crossover study of atrasentan in adults with IgA nephropathy, eGFR ≥30 ml/min per 1.73 m 2 , and urinary protein >0.5 g/d while on maximal, stable RASi and SGLT2i. Participants were randomized 1:1 to either sequence AB or sequence BA (0.75 mg atrasentan [A] once daily during period 1 and matching placebo [B] during period 2, or vice versa), with a 12-week washout period in between. The primary end point was the change in urinary protein-to-creatinine ratio (UPCR) to week 12. The secondary end point was the change in UPCR to week 24. Safety end points included the type, incidence, severity, seriousness, and relatedness of adverse events (AEs).

    RESULTS: We recruited 54 participants with mean age 48 years (SD 12), 43% female, mean (SD) eGFR 63 (22) ml/min per 1.73 m 2 , and median UPCR 1.0 g/g (Q1-Q3, 0.7-1.4). Treatment with atrasentan versus placebo resulted in a difference in geometric mean percentage change in UPCR at week 12 of -25.3% (95% confidence interval, -36.8 to -11.7; P < 0.001). The treatment difference in UPCR between atrasentan versus placebo during treatment period 2 at week 24 was -26.4% (95% confidence interval, -45.8 to -0.0). There was one unrelated serious adverse event. Fluid retention events were uncommon, and none required hospitalization. There were no study drug discontinuations due to treatment-related adverse events and no deaths.

    CONCLUSIONS: Atrasentan provided a clinically meaningful reduction in proteinuria in adults with IgA nephropathy and proteinuria ≥0.5 g/d treated with RASi and SGLT2i therapy. Atrasentan was well tolerated, and no new safety signals emerged.

    CLINICAL TRIAL REGISTRY NAME AND REGISTRATION NUMBER: NCT05834738 .

    MeSH terms: Adult; Double-Blind Method; Female; Humans; Male; Middle Aged; Proteinuria/drug therapy; Proteinuria/etiology; Treatment Outcome; Cross-Over Studies
  11. Martínez-Domínguez SJ, Lanas Á, Ceamanos E, Voynovan I, Jonaitis L, Vologzanina L, et al.
    Clin Gastroenterol Hepatol, 2026 Nov;24(11):2978-2989.
    PMID: 41935593 DOI: 10.1016/j.cgh.2026.03.029
    BACKGROUND & AIMS: Evidence on optimal bismuth and antibiotic dosing is limited. We aimed to analyze the effectiveness of bismuth-containing quadruple regimens according to drug dosage.

    METHODS: This was an analysis of an international, prospective, non-interventional registry on the management of Helicobacter pylori infection by European gastroenterologists (European Registry on Helicobacter pylori Management [Hp-EuReg]). Patients receiving empirical bismuth-containing quadruple therapies in any treatment line and registered from 2013 to 2024 were included. Effectiveness was assessed using a modified intention-to-treat (mITT) analysis.

    RESULTS: A total of 10,767 first-line records were analyzed. The clarithromycin-amoxicillin-bismuth (CAB) scheme was >90% effective with standard doses of amoxicillin and clarithromycin (2000 mg/d and 1000 mg/d), regardless of bismuth dose. The bismuth-metronidazole-tetracycline (BMTc) regimen achieved >90% effectiveness with tetracycline ≥1500 mg/d, metronidazole 1500 mg/d, and bismuth ≥480 mg/d. The amoxicillin-metronidazole-bismuth (AMB) regimen reported ≈90% mITT with amoxicillin 2000 mg/d, metronidazole ≥1000 mg/d, and bismuth 480 mg/d. The clarithromycin-metronidazole-bismuth (CMB) showed ≥90% mITT with metronidazole ≥800 mg/d, without improvement from increasing bismuth dose. In the amoxicillin-levofloxacin-bismuth (ALB) regimen, mITT was >90%, with no benefit from increasing levofloxacin >500 mg/d. A total of 2952 second- to sixth-line treatments were analyzed, all showing mITT <90% (ALB, 83%; BMTc, 79%; CAB, 88%; MDB, 63%; AMB, 88%), with no significant differences with different bismuth doses.

    CONCLUSIONS: Increasing antibiotic or bismuth doses above the standard did not improve effectiveness of H pylori treatment. Adherence, treatment length, and proton pump inhibitor co-therapy may be more impactful than escalation of antibiotics/bismuth doses.

    CLINICALTRIALS: gov, Number: NCT02328131.

    MeSH terms: Adult; Amoxicillin/administration & dosage; Drug Therapy, Combination; Europe; Female; Humans; Male; Metronidazole/administration & dosage; Middle Aged; Prospective Studies; Registries; Tetracycline/administration & dosage; Treatment Outcome; Clarithromycin/administration & dosage
  12. Zeng L, Pan J, Lu Y, Pan X
    Ann Noninvasive Electrocardiol, 2026 May;31(3):e70188.
    PMID: 41968502 DOI: 10.1111/anec.70188
    In clinical electrocardiogram (ECG) analysis, high-quality annotations are expensive and difficult to scale, leaving many tasks in an extreme few-shot learning regime. We formulate a single-label Top-5 rhythm classification task on PTB-XL and strictly limit supervised training to N = 70 labeled samples (14 per class) to characterize failure modes of scratch training and assess the stabilizing effect of self-supervised learning (SSL). We first perform SimCLR-style contrastive pretraining with the NT-Xent loss on 16,304 unlabeled ECG recordings, followed by supervised fine-tuning. To isolate the independent contribution of SSL initialization, downstream augmentation is disabled (NoAug) in the core evaluation. Performance and stability are assessed using Macro-F1, best validation epoch, and a collapse rate defined as Best Epoch ≤ 1. Under N = 70, scratch training exhibits systematic early collapse (Macro-F1 = 0.115 ± 0.072; collapse rate = 66.7%), which is not alleviated by strong downstream augmentation alone (0.108 ± 0.042; 66.7%). In contrast, SSL fine-tuning without downstream augmentation improves Macro-F1 to 0.192 ± 0.003 and reduces the collapse rate to 0%, with markedly reduced inter-seed variance. A balanced N = 300 reference achieves Macro-F1 = 0.297 ± 0.018. These results indicate that, in extreme few-shot ECG classification, the primary bottleneck is training reproducibility rather than peak accuracy, and SSL contrastive pretraining provides a robust initialization that substantially mitigates collapse and improves usability.
    MeSH terms: Supervised Machine Learning*; Algorithms; Humans
  13. You HW, Izzati NS
    Int J Adolesc Med Health, 2026 Oct 01;38(5):389-394.
    PMID: 42295345 DOI: 10.1515/ijamh-2026-0029
    OBJECTIVES: Premenstrual dysphoric disorder (PMDD) is a severe form of premenstrual syndrome (PMS), which typically occurs during the luteal phase, one week prior to menstruation. Menstrual health challenges encompass a spectrum of physical, emotional, and behavioral symptoms. These challenges can significantly affect quality of life, academic performance, and social functioning among young women. This study was conducted to identify the prevalence and severity of PMS and PMDD among pre-university students.

    METHODS: A total of 100 students were randomly selected as participants, and data were collected using a structured questionnaire. The instrument comprised three sections, including demographic information, menstrual patterns and the Premenstrual Symptoms Screening Tool (PSST). Classification of PMS and PMDD was based on the Diagnostic and Statistical Manual IV (DSM-IV) criteria embedded within the PSST.

    RESULTS: Findings revealed that seven respondents met the criteria for PMDD, while 46 and 47 respondents were categorized as experiencing no/mild PMS and moderate to severe PMS, respectively. Students diagnosed with PMDD reported higher levels of menstrual pain and more frequent premenstrual symptoms compared to those with no/mild or moderate to severe PMS. These symptoms were found to interfere with daily activities and social interactions, underscoring the psychosocial burden of menstrual health challenges. Furthermore, PMS symptoms are known to persist across the reproductive lifespan and may continue during the menopausal transition.

    CONCLUSIONS: Given these implications, raising awareness of PMS and PMDD is essential to safeguard the overall well-being of women, particularly in educational settings where menstrual health challenges can disrupt academic engagement and psychosocial development.

    MeSH terms: Adolescent; Adult; Female; Humans; Quality of Life; Surveys and Questionnaires; Severity of Illness Index; Universities; Prevalence; Young Adult
  14. Wattanakul T, Cooper DJ, Plewes K, Grigg MJ, Rajahram GS, William T, et al.
    CPT Pharmacometrics Syst Pharmacol, 2026 Jul;15(7):e70283.
    PMID: 42328847 DOI: 10.1002/psp4.70283
    Paracetamol may improve renal function in patients with severe Plasmodium knowlesi malaria, particularly in those with acute kidney injury and hemolysis, via inhibition of cell-free hemoglobin mediated oxidative kidney damage. We developed a population pharmacokinetic/pharmacodynamic (PK/PD) model to assess effects of paracetamol on creatinine, hepatotoxicity, fever clearance, and parasite clearance among Malaysian patients with predominantly non-severe knowlesi malaria using data from the PACKNOW trial (Clinical Trials Registration: NCT03056391). A total of 372 patients were included in the PK/PD analyses (paracetamol: n = 183, control: n = 189). Paracetamol PK was described using a prior PK model published in patients with falciparum malaria. The PK/PD demonstrated that higher paracetamol exposures were associated with a faster decline in both creatinine and fever clearance time, supporting its renoprotective and antipyretic effects. Increased paracetamol exposure was not associated with hepatotoxicity or serious adverse events, despite a weak positive association with liver transaminases over time. No significant relationship was observed between paracetamol exposure and parasite clearance. Overall, these findings highlight an exposure-response relationship for paracetamol and a decline in creatinine, supporting its use as a renoprotective drug in treating Plasmodium knowlesi malaria.
    MeSH terms: Adult; Creatinine/blood; Female; Humans; Malaysia; Male; Middle Aged; Models, Biological*; Multicenter Studies as Topic; Randomized Controlled Trials as Topic; Clinical Trials, Phase III as Topic; Young Adult
  15. Sailis AB
    Arch Toxicol, 2026 Nov;100(11):5247-5260.
    PMID: 42362750 DOI: 10.1007/s00204-026-04486-w
    E-cigarette use has increased substantially, particularly among adolescents and young adults, yet its long-term respiratory effects remain incompletely understood. E-cigarette aerosol contains biologically active constituents, including nicotine, propylene glycol, vegetable glycerin, flavoring chemicals, aldehydes, metals, particles, and reactive oxygen species, which may disrupt respiratory epithelial homeostasis. This review synthesizes experimental, preclinical, and human-relevant evidence linking e-cigarette aerosol exposure to respiratory epithelial injury, with emphasis on ferroptosis-related mechanisms. Available evidence indicates that e-cigarette aerosol can impair epithelial barrier integrity, alter mucociliary defense, increase MUC5AC expression, induce oxidative stress, and promote inflammatory signaling. Emerging preclinical data suggest that electronic nicotine delivery system exposure may induce ferroptosis-associated lung injury through increased CD71/TFR1 and ACSL4 expression, reduced GPX4, altered lipid profiles, BODIPY-C11-positive lipid peroxidation, epithelial cell death, inflammation, mucus accumulation, emphysema-like pathology, and fibrosis. Mechanistically, e-cigarette aerosol may create a ferroptosis-permissive epithelial environment by promoting redox imbalance, GPX4/GSH/SLC7A11 antioxidant defense impairment, altered iron handling, ACSL4-mediated PUFA-phospholipid remodeling, NRF2/ARE stress responses, mitochondrial dysfunction, and lipid peroxide accumulation. Ferroptotic epithelial injury may further amplify airway inflammation and remodeling through DAMP release, macrophage recruitment, cytokine production, barrier disruption, mucus dysregulation, and extracellular matrix deposition. However, direct human evidence remains limited, and many mechanistic links are extrapolated from cigarette smoke, particulate matter, and broader lung injury models. Future studies should use standardized exposure systems, human-relevant airway and alveolar models, comprehensive ferroptosis markers, and ferroptosis-specific rescue experiments to determine whether ferroptosis is a driver, amplifier, or downstream marker of e-cigarette-associated respiratory injury.
    MeSH terms: Aerosols; Animals; Humans; Oxidative Stress/drug effects; Respiratory Mucosa/drug effects; Respiratory Mucosa/pathology; Electronic Cigarettes*
  16. Abd Rasid NA, Muhammad NA, Mohamed Kamel FM, Adenan AZ, Mohd Arifin SR, Zainuddin AA
    Int J Adolesc Med Health, 2026 Oct 01;38(5):405-412.
    PMID: 42530135 DOI: 10.1515/ijamh-2026-0074
    OBJECTIVES: Adolescents continue to demonstrate uneven sexual and reproductive health (SRH) knowledge, particularly in applied domains such as contraception, gender identity, and digital safety. While school-based education emphasizes biological aspects of reproduction, structured family-based SRH education remains limited. This study examined whether empowering parents with structured, culturally sensitive SRH content and professional guidance may improve adolescents' SRH knowledge through parent-adolescent communication on sexual issues (PACS).

    METHODS: A quasi-experimental single-arm pre-post pilot study was conducted among Malaysian parent-adolescent dyads. Parents received a six-week structured SRH module delivered via a website, supported by healthcare professionals through digital platforms, and engaged in PACS. Adolescents completed a validated 30-item SRH knowledge questionnaire at baseline and post-intervention.

    RESULTS: Fifty adolescents with a mean age of 14.45 (SD=1.50) years completed the study (completion rate: 89.3 %). Median knowledge scores increased significantly from 19.0 (IQR=11.5-26.5) to 23.0 (IQR=17-29) (p<0.001, r=0.62). Significant improvements were observed across several knowledge domains, including contraception misconceptions, oral sex and pregnancy risk, gender identity, digital safety, grooming awareness, and abortion (r=0.28-0.40, p<0.05).

    CONCLUSIONS: This pilot study provides preliminary evidence that empowering parents with digitally delivered, structured SRH education and professional support can enhance parent-adolescent communication and improve adolescents' knowledge, particularly in sensitive and under-addressed domains. This family-based approach offers a feasible and scalable complement to school-based SRH education, especially in culturally sensitive and resource-limited settings.

    MeSH terms: Adolescent; Female; Humans; Health Knowledge, Attitudes, Practice*; Malaysia; Male; Parent-Child Relations*; Pilot Projects; Surveys and Questionnaires; Sexual Behavior
  17. Kartika IGAA, Awidarta K, Alakbaree M, Ucche S, Amran SI, Nugroho AE
    J Ayurveda Integr Med, 2026;17(5):101389.
    PMID: 42556252 DOI: 10.1016/j.jaim.2026.101389
    BACKGROUND: DOMS is a common post-exercise syndrome characterized by pain, stiffness, and decreased muscle function. Conventional therapies have limited efficacy and have potential side effects.

    OBJECTIVE: This study explored the molecular mechanisms of Ficus religiosa's alleviation of DOMS using network pharmacology, molecular docking, and molecular dynamics simulation analyses.

    MATERIALS AND METHODS: This study used a network pharmacology framework to identify and analyze the phytochemicals from F. religiosa. Databases like IMPPAT 2.0 were used to retrieve potential compounds, while SwissTargetPrediction predicted target proteins. Therapeutic targets were identified using Genecards and OMIM databases. Protein-protein interaction networks were analyzed using STRING and Cytoscape software, while pathway enrichment was conducted using Enrichr. Molecular docking was performed using AutoDockTools (v1.5.7), followed by molecular dynamics simulations using GROMACS to validate target-compound interactions.

    RESULTS: Of the 140 phytochemicals, 44 met the drug-likeness and bioavailability criteria and were associated with 39 potential therapeutic targets for DOMS. KEGG enrichment analysis revealed inflammation, oxidative stress, and immune regulation as the primary mechanisms of action. Prostaglandin-endoperoxide synthase 2 (PTGS2) was identified as a critical target. Molecular docking showed that compounds such as α-eudesmol, epi-γ-eudesmol, and α-cadinol exhibited superior binding affinities for PTGS2 compared to ibuprofen. Finally, molecular dynamics simulation demonstrated that α-cadinol exhibited the most stable binding owing to its robust hydrogen bonding, whereas epi-α-cadinol displayed progressive stabilization and efficient accommodation inside the active region of the protein.

    CONCLUSION: This study suggests that F. religiosa could be used as a therapeutic agent for the management of DOMS. The key compounds, α-cadinol and epi-α-cadinol, show potential anti-inflammatory and analgesic effects.

  18. Hariyanto AP, Endarko E, Mardat MD, Almira L, Ng KH
    Radiography (Lond), 2026 Oct;32(7):103543.
    PMID: 42648226 DOI: 10.1016/j.radi.2026.103543
    INTRODUCTION: Commercial polymethyl methacrylate (PMMA) computed tomography dose index (CTDI) phantoms are widely used for CT dose assessment, but their cost and limited availability may restrict routine quality assurance, especially in resource-limited settings. This study evaluated the feasibility of a low-cost 3D-printed polylactic acid (PLA) head CTDI phantom as a complementary to commercial PMMA phantoms for CT dosimetry.

    METHODS: A 160-mm-diameter PLA head CTDI phantom with five dosimetry holes was fabricated using fused deposition modeling. Its elemental composition, density, effective atomic number, electron density, Hounsfield units (HU), and CT dosimetry parameters were characterized. Measurements were performed on 128-slice Ingenuity Philips and GE Discovery scanners, at 80, 120, and 140 kV. CTDI was measured at two different times and then compared with PMMA.

    RESULTS: PLA showed properties close to PMMA, with differences of 5.08% in density, -0.015% in effective atomic number, and -4.46% in electron density. PLA HU values were lower than PMMA, ranging from 22.5 to 45.3 HU on Philips and 25.1-49.1 HU on GE. CTDIvol deviations between PLA and PMMA ranged from -9.00% to -2.82% in November 2025 and from -5.78% to -3.83% in June 2026. These deviations remained within <10%, which was generally considered acceptable for comparative phantom-based CT dosimetry.

    CONCLUSION: The PLA CTDI phantom showed good effective atomic number, electron density, and dosimetric agreement with the standard PMMA phantom across two CT systems and two measurement time points.

    IMPLICATIONS FOR PRACTICE: 3D-printed PLA CTDI phantom could offer a practical, low-cost complementary tool for comparative CTDI measurement, education, protocol optimization, and quality assurance.

    MeSH terms: Feasibility Studies; Humans; Polyesters*; Quality Assurance, Health Care; Radiation Dosage; Radiometry/methods; Polymethyl Methacrylate; Printing, Three-Dimensional*
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