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PubMed2026

Hypoxaemia and mortality in children with lower respiratory infection in low-income and middle-income countries: systematic review and meta-analysis.

BACKGROUND: Hypoxaemic lower respiratory infections (LRIs) are a leading cause of childhood mortality, with the highest burden in low-income and middle-income countries (LMICs). Hypoxaemia-low peripheral capillary oxyhaemoglobin saturation (SpO2)-is a marker of severity, and WHO recommends hospitalisation and oxygen administration for patients with SpO2 <90%. We aimed to update estimates from a 2015 systematic review and meta-analysis examining the association between hypoxaemia and mortality among children with LRIs in LMICs by incorporating studies published over the subsequent decade and evaluating mortality risk across multiple SpO2 thresholds. METHODS: We conducted a systematic review with meta-analysis by searching PubMed, Embase, LILACS, Global Index Medicus, Web of Science, and Scopus for peer-reviewed studies published between Jan 1, 2015, and June 18, 2025, with combined terms related to pneumonia, children, mortality, and LMICs. We also included selected earlier studies through citation checking. Eligible studies reported associations between hypoxaemia and mortality in children younger than 5 years with LRIs in LMICs. We excluded case reports and case series with fewer than five deaths, studies focused exclusively on the neonatal period, and those limited to children with specific comorbidities or to postoperative patients, for consistency with the original review. Two reviewers independently screened studies, extracted data, and assessed quality. Eligible studies were combined with those from the original review and analysed using random-effects models to estimate odds ratios (ORs) by hypoxaemia threshold subgroup. The protocol was registered on PROSPERO (CRD42023433946). FINDINGS: We identified 7734 records; 26 new studies met inclusion criteria and were combined with 18 from the original review. The 44 studies were published between 1993 and 2024 and were primarily from Africa (25 [57%] of 44) or Asia (19 [43%]); some studies spanned multiple locations. Data from 33 studies including 155 633 participants were included in the primary meta-analysis. Hypoxaemia of any threshold was associated with higher odds of LRI mortality (OR 4·36 [95% CI 3·52-5·39]) compared with no hypoxaemia. For SpO2 <90% versus 90-100%, OR for death was 4·75 (95% CI 3·42-6·58). For SpO2 90-94% versus 95-100%, mortality risk was more than twice as high (OR 2·27 [95% CI 1·22-4·25]). Heterogeneity was substantial (I2 64-85% across analyses), and eight (24%) of 33 studies in the primary meta-analysis had a high overall risk of bias; however, a sensitivity analysis restricted to studies with low or moderate risk of bias yielded similar results. INTERPRETATION: SpO2 <90% strongly predicts mortality in children with LRIs in LMICs. Children with SpO2 90-94% also have elevated risk, suggesting that paediatric LRI and pneumonia treatment algorithms should consider management at this hypoxaemia threshold. FUNDING: None.

Journal Article↗

PubMed2026

The landscape of pruning for large language models: A systematic review and unified taxonomy.

Confronting the inherent tension between the exceptional capabilities and the immense computational costs of Large Language Models (LLMs), pruning has become a crucial technique for achieving efficient deployment. However, a systematic analytical framework dedicated specifically to LLM pruning remains absent. In this paper, we aim to bridge this gap. We first elucidate the theoretical foundations that underpin the effectiveness of pruning, namely overparameterization and redundancy, and then propose a multidimensional taxonomy that organizes existing approaches along the axes of granularity, timing, and criteria. Building upon this unified perspective, we further analyze performance recovery mechanisms and the broader evaluation ecosystem, while also exploring forward-looking challenges such as interpretability, automation, and hardware-algorithm co-design. Through this comprehensive synthesis, we seek to provide an integrated and coherent analytical lens for advancing both research and practice in LLM pruning.

Large Language Models↗

PubMed2026

Valproate vs levetiracetam in juvenile myoclonic epilepsy: systematic review and meta-analysis.

INTRODUCTION: Juvenile myoclonic epilepsy (JME) is a genetic generalized epilepsy syndrome with onset typically in adolescence and a chronic course requiring long-term antiseizure medications (ASMs). Valproate (VPA) is the most effective treatment for seizure control in JME but use is limited by metabolic, cognitive, and teratogenic adverse effects (AEs). Levetiracetam (LEV) is an alternative ASM when VPA is contraindicated or not tolerated. Comparisons of the efficacy and long-term tolerability of VPA and LEV remain limited. METHODS: We conducted a systematic review and meta-analysis using PRISMA guidelines and the Cochrane Handbook. We searched PubMed, Embase, and the Cochrane Library from inception through January 2026 for studies in JME patients comparing LEV and VPA, and included randomized controlled trials and comparative observational studies with ≥ 6 months of follow-up. Primary outcomes were seizure remission and ASM failure or treatment discontinuation. Secondary outcomes included, memory impairment, weight gain or obesity, dizziness, and overall AEs. Risk ratios (RRs) with 95% confidence intervals (CIs) were pooled using random-effects models. Heterogeneity was assessed using the I2 statistic. RESULTS: Seven studies encompassing 1,009 patients were included. VPA was associated with higher pooled seizure remission rates compared with LEV (344 of 574 vs. 169 of 390; RR 1.44, 95% CI 1.27-1.63); however, substantial heterogeneity (I2 = 88.4%) limits confidence in this finding. VPA was associated with a lower risk of drug failure or treatment discontinuation (RR 0.68, 95% CI 0.54-0.86), with no heterogeneity (I2 = 0.0%). VPA was also associated with a higher risk of memory impairment (RR 5.37, 95% CI 2.05-14.04; I2 = 74.5%) and weight gain or obesity (RR 6.40, 95% CI 3.64-11.26; I2 = 35.9%). No significant differences were observed between treatments regarding dizziness (RR 0.91, 95% CI 0.61-1.37; I2 = 21.2%). Sensitivity analyses confirmed the robustness of the pooled estimates. CONCLUSION: VPA was associated with higher seizure remission rates and lower treatment discontinuation compared with LEV; however, these findings must be interpreted with caution given the substantial heterogeneity, the predominance of observational studies, and the serious risk of bias identified in most included studies VPA also demonstrated lower rates of treatment discontinuation, despite a higher burden of cognitive impairment and weight gain. No relevant differences were observed regarding dizziness. Large-scale randomized trials with standardized outcome definitions and longer follow-up are needed to define the comparative risk-benefit profiles of LEV and VPA in JME.

Humans↗

PubMed2026

Incidence of retropharyngeal lymph node involvement in oropharyngeal squamous cell carcinoma: a systematic review and meta-analysis.

BACKGROUND: Retropharyngeal lymph node (RPN) involvement in oropharyngeal squamous cell carcinoma (OPSCC) may influence prognosis, staging, radiotherapy target volumes, and treatment strategy. However, its true prevalence and association with clinicopathological factors remain incompletely defined. METHODS: A systematic review and meta-analysis was performed in accordance with the PRISMA 2020 statement. MEDLINE, EMBASE, EMCARE, PubMed, Web of Science, Scopus, and the Cochrane Library were searched from database inception to 15 June 2026. Studies reporting radiological or pathological assessment of retropharyngeal lymph node (RPN) involvement in oropharyngeal squamous cell carcinoma (OPSCC) were included. Pooled prevalence estimates were calculated using a random-effects model, with subgroup analyses according to tumour stage, nodal status, HPV status, and primary tumour subsite. RESULTS: Fourteen studies comprising 8,887 patients were included. The pooled prevalence of RPN involvement was (95% CI 11-16%; 95% PI 6-24%), with substantial heterogeneity. HPV-negative tumours demonstrated higher prevalence than HPV-positive tumours (21% vs 11%). Prevalence increased with advancing T stage, from 2% in T1 to 18% in T4 disease, and was higher in node-positive than node-negative disease (16% vs 1%). Tonsillar primaries showed higher prevalence than base of tongue tumours (14% vs 8%). Among patients with RPN involvement, the pooled distant metastasis rate was 16%. CONCLUSION: RPN metastases were identified in approximately one in eight patients with OPSCC and were more frequent in HPV-negative disease, advanced stage, and tonsillar primaries. These findings support careful evaluation of the retropharyngeal space during staging and may assist risk stratification in selected higher-risk patients.

Humans↗

PubMed2025

An integrated multiscale air quality modelling framework for industrial park pollution: Linking local emissions to regional transport.

Capturing the spatiotemporal distribution of pollutants in industrial parks remains challenging for regional air quality models because of their coarse resolution (3 km), resulting in uncertainties in local emission quantification. To address this, we developed the Integrated Multiscale Air Quality Modelling System for Industry (IAQMS-Industry), coupling the regional Nested Air Quality Prediction Modelling System (NAQPMS) with a city-scale chemical transport model. This framework integrates point-source locations and Gaussian plume dispersion to simulate particulate matter with a diameter smaller than 2.5 micrometres (PM2.5) at 100 m resolution. Applied to the Beijing Yi Zhuang and Tangshan industrial parks and evaluated against observations. The coupled model achieved a normalized mean bias (NMB) ranging from 3.1 % to 6.2 %, improving upon NAQPMS (-16.9 % to -7.7 %). Spatial analysis revealed that coarse regional grids underestimated the PM2.5 concentrations at industrial sites by smoothing gradients, whereas IAQMS-Industry successfully resolved spatial patterns. Industrial point emissions accounted for 22.9 %-26.4 % of PM2.5 in the coupled model, which was significantly greater than the regional model estimates of 1.6 %-13.7 %. These findings indicate that regional models overestimate pollutant dispersion processes in industrial parks while underestimating local industrial impacts. By explicitly resolving point-source dynamics and linking them to regional transport, IAQMS-Industry provides a robust tool for designing targeted emission controls in industrial cities and balancing local air quality improvements with minimized regional pollution outflow. This study underscores the necessity of multiscale modelling for accurate source apportionment and informed environmental governance in industrial zones.

Air Pollution↗

PubMed2026

The future of pediatric vesicoureteral reflux management.

BACKGROUND AND OBJECTIVE: Vesicoureteral reflux (VUR) is a common condition in pediatric urology, yet important uncertainties persist regarding risk stratification, imaging strategies, and prevention of long-term renal damage. Emerging technologies may help address these challenges. This review provides a forward-looking overview of recent advances in artificial intelligence (AI) and immunomodulation that may influence future management of pediatric VUR. METHODS: A forward-looking literature review was performed using the PubMed database (January 2000-March 2025), focusing on studies addressing AI, immunomodulation, or vaccination in the context of VUR and urinary tract infections. Criteria of inclusion were the relevance to pediatric VUR, the novelty of the proposed concept, the potential clinical implications and, for the AI literature, the existence of a clinical evaluation of the algorithm on a dataset from patients. KEY FINDINGS AND LIMITATIONS: AI-based models show promising performance in supporting clinical decision-making, including prediction of the need for voiding cystourethrography, automated grading of VUR, estimation of recurrent urinary tract infection risk and prediction of chemoprophylaxis. These tools may facilitate more individualized diagnostic and therapeutic strategies, although current evidence is largely retrospective and requires prospective validation. Immunization and immunomodulatory approaches aim to reduce infection burden and modulate inflammatory pathways associated with renal scarring. While early experimental and adult clinical data are encouraging, pediatric-specific evidence remains limited, and clinical applicability in children with VUR is not yet established. CONCLUSION: Artificial intelligence and immunologically targeted strategies represent complementary, emerging approaches that may contribute to more personalized management of pediatric VUR. At present, both should be regarded as exploratory tools whose clinical impact will depend on further validation and appropriately designed pediatric studies.

Humans↗

PubMed2026

Longitudinal Prediction of Retinal Sensitivity Based on Disease Progression Quantified From Optical Coherence Tomography in Geographic Atrophy.

PURPOSE: The purpose of this study was to analyze the association between disease progression of geographic atrophy (GA) from optical coherence tomography (OCT) with retinal sensitivity (RS) in microperimetry (MP) over a 2-year follow-up period. METHODS: This is a longitudinal analysis of the OAKS Phase-III clinical trial. Both study and fellow eyes with GA that underwent imaging with the Spectralis OCT and consecutive MP examination were eligible. Pointwise quantification of ellipsoid zone (EZ) thickness, EZ and retinal pigment epithelium (RPE) loss from OCT volumes was correlated with localized RS. A longitudinal predictive model using a Markov Chain framework was implemented to predict RS change over time based on OCT biomarkers. The modeling of morphological and functional progression was based on the fellow-eye cohort. RESULTS: A total of 39,681 MP points from 406 patients were analyzed. In the fellow eye cohort, baseline (BSL) EZ thickness was positively associated with RS (0.3 decibel [dB]/µm, P < 0.001). Decrease in EZ thickness between visits during follow-up was significantly associated with decrease in RS (0.1 dB / 1 µm change). RS was significantly lower in MP points within EZ loss during follow-up compared with MP points within the retina with measurable EZ (P < 0.001). The largest functional decline was observed within RPE loss, also associated with the highest probability of absolute scotoma (P < 0.001). Morphological progression to EZ and RPE loss was influenced by EZ thickness and the morphology of adjacent MP points (P < 0.001). CONCLUSIONS: Two exploratory endpoints were developed, namely quantification of EZ thickness and loss, and localized RS within high-risk OCT areas. RS decline during follow-up is associated with automatically quantified disease progression in OCT.

Humans↗

PubMed2026

The return of measles: a dangerous comeback.

PURPOSE OF REVIEW: Measles has reemerged as a significant global public health threat, with increasing morbidity and mortality associated with declining vaccination rates. This review summarizes current global outbreaks, history of measles, vaccination and elimination status, vaccine hesitancy, and outbreak response and lessons learned highlighting different novel digital epidemiological tools. RECENT FINDINGS: Measles continues to surge worldwide with an estimated 11 million infections in 2024, which is more than prepandemic levels. Developing and developed countries are both facing measles outbreaks, with the United States at risk of losing measles elimination status. Recent studies have showed that worldwide percentages of two-dose measles vaccination were lower than 95% that is required to interrupt measles transmission in all WHO regions. Novel epidemiological tools such as interactive simulators, real-time use of dynamic models, serosurveillance, and others are transforming measles outbreak response and enable earlier outbreak detection, tracking, and targeted public health interventions. SUMMARY: Vaccine hesitancy is one of the top global health threats and developing a tailored evidence-based approach is necessary to establish and maintain measles elimination.

Humans↗

PubMed2026

Snow carps as an emerging model for polyploid genome evolution.

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Editorial↗

PubMed2026

Penalized Cumulative Probability Model for a Continuous Outcome Subject to Detection Limits.

Mixed-type outcome data occur when the outcome variable's distribution is a mixture of both continuous and discrete ordinal variables. Such mixed-type outcomes are common in biomedical, psychological, and the health sciences, particularly for variables having either a detection or quantitation limit. When interest lies in identifying a combination of genomic features associated with a mixed-type outcome, any method used would require a variable selection strategy for high-dimensional data. Unfortunately, few variable selection methods exist for modeling a mixed-type outcome when the covariate space is high dimensional. This study develops a high-dimensional penalized cumulative probability model (CPM), to allow for the identification of genomic features associated with mixed-type outcome of interest. We demonstrated how such model may be estimated using the iterative penalization procedure-the generalized monotone incremental forward stagewise (GMIFS) algorithm. The Model-X knockoffs procedure was combined with the estimation algorithm to control the false discovery rates (FDR) when performing variable selection. Through extensive simulation studies, our penalized CPM was shown to outperform alternative methods in terms of controlled variable selection performance by achieving high statistical power with the FDR being controlled at the target level. We demonstrate the utility of our method by applying it to predict estimated glomeruli filtration rate (eGFR) in kidney transplant recipients at 24 months post-transplant using baseline gene expression data as predictors. Our CPM model identified five genes associated with this mixed-type outcome which have important links to renal disease, which may provide prognostic guidance for kidney transplantation recipients.

Models, Statistical↗

PubMed2026

Integrative modeling of the genome structure and dynamics in fission yeast.

Genome organization in the nucleus is highly structured and dynamic. Recent advances in genomic technology have enabled the measurement of genome-wide architecture and locus-specific motion, yielding contact maps and live-cell trajectories. However, these outcomes are derived from different modalities and are not directly comparable, with their quantitative integration being a key challenge. Here we establish a genome-wide live-cell imaging platform in fission yeast Schizosaccharomyces pombe, tracking 131 chromosomal loci, along with the spindle pole body (SPB) and nucleolus, to construct a quantitative map of locus dynamics. By integrating these dynamics with contact data through polymer modeling of Hi-C data, we build a physics-based "digital twin" of the S. pombe genome consistent with the spatiotemporal dynamics of interphase chromatin. We validate it against genome-wide mobility patterns and known architectural features, including centromere and telomere clustering. The model also identifies distinct dynamical regimes: centromere- and telomere-proximal loci relax within [Formula: see text]150 s, whereas the remaining loci relax within [Formula: see text]70 s. We measure semiperiodic dynamics of SPB motion, including a characteristic peak near 225 s and [Formula: see text] fluctuations. We use the model with SPB-directed forcing to show how these low-frequency components propagate through the genome to drive genome-wide chromatin displacements. Together, this predictive physics-based modeling framework integrates genome structure and dynamics to reveal how nuclear mechanical driving forces shape chromosome motion, linking mechanically driven chromatin responses to genome maintenance and regulation.

Schizosaccharomyces↗

PubMed2026

Evaluation of a cornea-specialized large language model for diagnostic and management accuracy in complex corneal cases.

PURPOSE: To evaluate whether a cornea-specialized large language model (LLM) enhanced with retrieval-augmented generation (RAG) improves clinicians' diagnostic and management accuracy in complex corneal cases compared to a general-purpose GPT-4o model and unaided clinician performance. METHODS: This prospective, randomized, masked evaluation study involved three cornea trainees who each independently reviewed 39 real-world corneal cases under three experimental conditions: unaided, GPT-4o-assisted, and assisted by a cornea-specialized GPT-4o model. The cornea-specialized model was constructed by embedding over 200 publicly available Wikipedia articles into GPT-4o's RAG framework. Participants provided open-ended diagnoses and selected the next-step management options (multiple choice). They were allowed up to three GPT-4o queries per case, and the AI-assisted arms were randomized to minimize bias. Accuracy for both tasks was compared against expert reference standards using McNemar's test. RESULTS: Diagnostic accuracy was 48.7%, 20.5%, and 38.5% unaided, improving to 69.2%, 46.2%, and 59.0% with general GPT-4o (p<0.04). The cornea-specialized GPT-4o further improved accuracy to 71.8%, 48.7%, and 74.4%, with improvements over unaided performance for all clinicians (p<0.01). For next-step decisions, unaided accuracy was 76.9%, 87.2%, and 59.0%. With the specialized model, Ophthalmologist 3 improved to 71.8% (p<0.05), Ophthalmologist 1 remained high at 82.1%, and Ophthalmologist 2 declined to 64.1% (p<0.05). CONCLUSIONS: A cornea-specialized LLM enhanced with RAG improved diagnostic accuracy in complex corneal cases, particularly among clinicians with lower baseline performance. Effects on management accuracy were inconsistent. Future studies should explore the use of open-ended management tasks and examine whether smaller, curated retrieval corpora yield better model performance.

Humans↗

PubMed2026

Rational design of high-productivity perfusion processes for CHO Cells: From growth inhibitory strategies to model-driven optimization.

While perfusion culture for Chinese hamster ovary (CHO) cells offers advantages such as continuous operation and flexibility, it suffers from product loss through cell bleeding and difficulties in reaching high productivity due to sustained rapid cell growth. Growth inhibitory strategies are widely used to enhance productivity in fed‑batch processes; however, their practical implementation and comparative effectiveness in perfusion processes remain insufficiently explored. Meanwhile, process development often relies on costly trial‑and‑error approaches. Here, we systematically compared three growth inhibitory strategies in perfusion culture-low cell‑specific perfusion rate (CSPR), sodium butyrate, and mild hypothermia-with respect to cell growth, metabolism, productivity, and product quality. Genome‑scale metabolic flux sampling analysis revealed that low‑CSPR and sodium butyrate induce a convergent up‑regulation of energy metabolism, correlating with greater gains in specific productivity (qp). Building on this insight, we developed a growth‑kinetic model for the combined low‑CSPR + butyrate strategy, incorporating parameter uncertainty. This model‑guided framework enabled the rational design of two distinct high‑productivity perfusion processes: a sustained mode that achieved robust long‑term stability alongside substantial productivity gains, and a high‑intensity mode that pushed qp and daily volumetric titer to their maxima, with increases of up to 108.94% and 190.36%, respectively, in a model CHO cell line with a moderate baseline productivity. Our study provides a proof‑of‑concept framework for perfusion intensification, from strategy selection to rational process design.

Animals↗

PubMed2026

Age at menopause and subjective cognitive symptoms predict digital cognitive outcomes at the gynecological Well-Woman visit.

INTRODUCTION: Women are at increased risk for Alzheimer's Disease (AD). Growing evidence suggests that the menopausal transition may represent a vulnerable window for development of AD-related pathology. Yet, women are diagnosed with AD later than men. Conducting routine cognitive screenings and integrating information about both cognitive symptoms and age at menopause may help address sex-based disparities in detection and prevention. This study investigated whether subjective cognitive symptoms, in combination with age at menopause, were associated with performance on a digital cognitive task in postmenopausal women. METHODS: 183 postmenopausal women (mean age = 63.8, range = 45-85) were recruited after their Well-Woman visit. Participants completed the Screener for Cognitive Problems in Everyday Life (SCoPE) to assess subjective cognitive symptoms, followed by a sensitive measure of objective cognition: the Linus Health Digital Clock and Recall (DCR™). Information was also collected on age at menopause. We examined associations of subjective cognitive symptoms and age at menopause with digital cognitive performance, adjusting for age, education and depression. Model fit was evaluated using adjusted R2, AIC, and BIC. RESULTS: 48.1% of women reported one or more cognitive symptoms on the SCoPE. On objective testing, 73.2% scored in the normal range, 20.8% in the borderline range, and 6.0% in the impaired range. SCoPE total score was negatively associated with objective cognitive performance in adjusted models (B = -.12, p = .03). Age at menopause showed a significant quadratic association with cognitive performance (B = -0.006, p<.001). SCoPE total was not associated with DCR subtests, while age at menopause predicted both Delayed Recall and Clock Drawing. CONCLUSION: Subjective cognitive symptoms and age at menopause were associated with lower performance on a sensitive, objective cognitive test. Findings support routine cognitive screening and suggest that subjective cognitive symptoms as well as age at menopause are associated with cognitive function.

Humans↗

PubMed2026

ADAM10's combined influence on the diagnostic usefulness of IL 22, IL 10, IL-17 A, and IL-17D in autism spectrum disorders: Predicted role on gut leakiness as co-morbidity.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with increasing global prevalence but a lack of reliable diagnostic biomarkers. Emerging evidence suggests that immune dysregulation, gut-brain axis dysfunction, and increased intestinal permeability play key roles in ASD pathophysiology. This study investigated the combined diagnostic value of ADAM10 and cytokines (IL-10, IL-22, IL-17 A, and IL-17D). Multivariable logistic regression produces an improved ROC curve that improves diagnostic accuracy over individual markers by combining numerous predictors into a single risk score (linear predictor). The technique, which frequently raises individual marker AUCs, entails modelling a binary result, calculating the probability, and visualizing ROC based on the projected probabilities. In this case-control study, plasma levels of ADAM10, IL-10, IL-22, IL-17 A, and IL-17D were measured in 37 male children with ASD and 37 age-matched controls. Group comparisons, correlation analyses, and receiver operating characteristic (ROC) curve analyses, including combined ROC models, were performed. ADAM10, IL-22, and IL-17 A levels were significantly reduced in children with ASD compared to controls, whereas IL-10 and IL-17D showed no significant differences. ADAM10, IL-17 A, and IL-22 demonstrated good diagnostic performance, with AUC values of 0.886, 0.855, and 0.812, respectively. In contrast, IL-10 and IL-17D showed poor discriminatory ability, with AUC values of 0.524 and 0.599, respectively. Combined ROC analysis markedly improved diagnostic accuracy, with all panels including ADAM10 achieving AUC values above 0.90, and some reaching as high as 0.988, with high sensitivity and specificity. The combination of ADAM10 with selected cytokines significantly enhances diagnostic performance compared to individual markers, supporting a link between immune dysregulation, barrier dysfunction, and gut permeability in ASD.

Humans↗

PubMed2026

Corticosteroids as adjunctive therapy to standard treatment in Kawasaki disease: a GRADE-assessed systematic review and meta-analysis of randomized controlled trials.

UNLABELLED: Kawasaki disease (KD) is an acute systemic vasculitis and the leading cause of acquired heart disease in children in developed countries. While IVIG plus aspirin remains standard treatment, 10-20% of patients are IVIG-resistant and face an elevated risk of coronary artery abnormalities. Corticosteroids have been explored as adjunctive therapy, though evidence on their benefit remains inconsistent. To assess the efficacy and safety of adjunctive corticosteroids in Kawasaki disease across key clinical outcomes. This PRISMA 2020-compliant systematic review and meta-analysis included RCTs identified through database searches up to April 2026. Risk of bias was assessed using Cochrane RoB 2.0. Data were pooled using random-effects models to estimate risk ratios (RRs) and mean differences (MDs) with 95% CIs. Subgroup analyses, leave-one-out sensitivity analyses, and GRADE certainty appraisal were also performed. Eight studies (n = 4106) were included. No significant differences were found in coronary artery abnormalities (CAA) within 1 month (RR 0.49, 95% CI 0.17-1.42), after 1 month (RR 0.81, 95% CI 0.43-1.55), fever duration (MD - 1.75, 95% CI - 3.71 to 0.21), or adverse events (RR 1.08, 95% CI 0.57-2.07). Hospital stay was modestly shorter with corticosteroids (MD - 0.99, 95% CI - 1.86 to - 0.11). Exploratory subgroup analyses suggested potential benefits with prednisolone-based and prolonged corticosteroid regimens for selected outcomes; however, these findings should be interpreted cautiously given multiple subgroup comparisons. Overall certainty of evidence was very low. CONCLUSION:  Adjunctive corticosteroids did not significantly improve major outcomes in KD. Prednisolone-based regimens showed some promise, but high-quality trials are still needed before any firm conclusions can be drawn. WHAT IS KNOWN: • Corticosteroids have been studied as adjunctive therapy for Kawasaki disease, but their effects on coronary outcomes and other clinical outcomes remain inconsistent. WHAT IS NEW: • This meta-analysis found no significant improvement in major outcomes with adjunctive corticosteroids, although prednisolone-based and prolonged regimens may provide benefits for selected outcomes.

Humans↗

PubMed2026

Validated UPLC-MS/MS quantification and intracellular PK-PD Modeling of periplocin-related cardiac glycosides in H/R-injured H9c2 cells.

Reliable intracellular quantification is essential for characterizing the target-site disposition and exposure-response relationships of bioactive natural products. In this study, an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was developed and validated for the simultaneous determination of periplocin and four related cardiac glycoside metabolites in H9c2 cell lysates. Acceptable linearity, precision, recovery, and stability were achieved for intracellular quantification. Cells were treated with each compound at 50 μM, and intracellular concentrations and cell viability were monitored over 48 h. In hypoxia/reoxygenation (H/R) -injured cells, the time to maximum intracellular concentration was shortened for all five compounds, indicating altered cellular disposition under injury conditions. Cell viability was improved by all compounds during the observation period. Pharmacokinetic-pharmacodynamic (PK-PD) integration was performed using a sigmoid Emax model, and acceptable model fits were obtained, with Akaike information criterion (AIC) values ranging from 79.22 to 130.46. Low apparent EC50 values were estimated under this single-dose design, whereas the estimated Ke0 values suggested delayed equilibration with the effect compartment. These findings indicate that sustained cytoprotective responses can be produced by periplocin and related metabolic markers in injured cardiomyocytes. This intracellular bioanalytical strategy provides a quantitative approach for linking cellular exposure to pharmacodynamic response and may support further evaluation of periplocin-related cardiac glycosides.

Tandem Mass Spectrometry↗

PubMed2025

Prospective Longitudinal Associations Between Adverse Childhood Experiences and Adult Mental Health Outcomes: Systematic Review and Meta-Analysis.

Research suggests a strong, dose-response relationship between adverse childhood experiences (ACEs) and poor adult mental health outcomes. This systematic review and meta-analysis aimed to systematically investigate the existence and strength of prospective associations between ACEs and adult mental health outcomes: anxiety, depression, psychotic-like experiences, post-traumatic stress disorder (PTSD), self-harm, and suicidality. We searched 12 electronic databases for publications after 1990. A narrative synthesis of included studies and random-effects meta-analyses with moderation were completed for all outcomes, excluding self-harm. In total, 62 studies from 15 countries were included. Most studies were from the United States; 95% of publications (N = 59) came from high-income countries (HICs) and 5% (N = 3) from upper-middle-income countries. Pooled associations between ACEs and adult mental illness were strongest for PTSD (OR = 2.26; 95% CI [1.75, 2.77]), followed by anxiety (OR = 1.78; 95% CI [1.45, 2.11]), depression (OR = 1.61; 95% CI [1.45, 1.76]), psychotic-like experiences (OR = 1.34; 95% CI [1.13, 1.54]), and suicidality (OR = 1.28; 95% CI [1.13, 1.43]). Moderation analyses suggested ACEs with a violence or maltreatment component were significant risk factors for adult depression compared to household ACEs, and that study location was a significant moderator in the depression, anxiety, and PTSD models. Further moderation effects will be discussed. Findings confirm ACEs are a significant risk factor for mental ill-health in adulthood. Our review highlights the urgent need for research exploring associations between ACEs measured in childhood and adult mental illness outside of HIC settings.

Humans↗