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GPR3 in neuro-metabolic-immune-reproductive nexus - a potential therapeutic target for Multi-System diseases.

BACKGROUND: GPR3(G-protein-coupled receptor 3), an orphan G-protein-coupled receptor (GPCR) with constitutive Gs activity, is expressed in the brain, liver, ovary, and other tissues, regulating cell proliferation, differentiation, and apoptosis across the nervous, reproductive, immune, and metabolic systems. This review synthesizes evidence on its integrated signaling and physiological functions to address the lack of a comprehensive multisystem pathophysiology overview. METHODS: A systematic literature search was conducted on PubMed and Web of Science, using keywords such as "GPR3", "GPCR", "neurodegeneration", "metabolism", "immune", "reproduction", "agonist", "inhibitor", and "therapeutic target". This search identified GPR3's roles in neurodegenerative diseases, immune inflammation, reproduction, and energy metabolism. The analysis focused on signaling pathways, ligand regulation, and therapeutic potential. RESULTS: The research indicates that GPR3 is involved in neuronal survival, synaptic plasticity, and microglial activity via the cAMP/PKA, PI3K/Akt, and β - arrestin pathways. It promotes amyloid - β formation in Alzheimer's disease (AD), yet provides neuroprotection in Parkinson's disease (PD) models. It may contribute to anxiety/depression - like states, maintain oocyte meiotic arrest in the ovary, and activate thermogenic genes in adipose tissue. GPR3 modulates immune responses. Using oleic acid (OA) and diphenyleneiodonium (DPI) as activators, and AF64394 and cannabidiol (CBD) as antagonists, it shows potential in disease models. CONCLUSION: GPR3 acts as a central molecular hub integrating neural, metabolic, immune, and reproductive signaling, highlighting its potential as a therapeutic target for chronic multisystem disorders. However, its dual roles in certain pathologies and translation challenges necessitate further research.

Humans

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice.

Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip-dating approaches, including fossil data, for inference of time-scaled trees and rates of evolution. However, attention has largely focused on the improvement of models of morphological evolution and other analytical tools with much less discussion about data acquisition itself. Here we review past and current practice for describing and collecting morphological data for phylogenetic inference. We present a systematic review of 164 phylogenetic analyses conducted over the last 35 years and focused on a diverse group of extinct arthropods: trilobites. Trends in increasing matrix size, data type, and coding strategy are evident. Where present, polymorphic characters have been predominantly derived from discretized continuous characters, although increasingly practitioners are utilizing alternative approaches for the treatment of quantitative characters. Not surprisingly, traditional indices that describe character consistency are highly correlated with matrix size but show surprising variation at different taxonomic scales. More recent attempts to describe data quality using information theory imply that characters can have high information content even if data are missing for many tips, providing support against the exclusion of characters because of missing data. In consideration of this, as well as advances in the study of developmental biology and variational complexity, we identify several avenues for increasing the quality and quantity of morphological data going forward.

Phylogeny

Improving insurance deduction identification: a hybrid artificial intelligence model using machine learning and expert systems.

PURPOSE: Financial challenges in healthcare systems worldwide, especially in low- and middle-income countries like Iran, have increased hospitals' reliance on insurance reimbursements. Unrecognized insurance deductions often cause severe financial shortages, making efficient deduction management crucial. This study aimed to design a hybrid intelligent system for identifying and predicting insurance deductions by combining machine learning and expert system frameworks. DESIGN/METHODOLOGY/APPROACH: A mixed-methods design was applied in four stages. First, a scoping review identified the causes and patterns of insurance deductions. Second, interviews with 15 insurance experts produced a validated checklist and a dataset from inpatient billing records. Third, using the CRISP-DM methodology, machine learning algorithms were developed and tested in SPSS Modeler alongside a fuzzy expert system developed in MATLAB. Finally, the model was validated using the holdout method. FINDINGS: Four categories of deduction drivers were identified: service provision, registration errors, document submission issues, and revenue conversion processes. The CHAID decision tree outperformed other algorithms with a 99% precision rate and the lowest Mean Absolute Error (9.43). A brief assessment of potential overfitting was conducted to ensure that the CHAID model's high accuracy was interpreted cautiously and supported by the validation results. The fuzzy expert system with validated rules was adaptable for deduction classification, especially for cases unsuitable for quantitative modeling. ORIGINALITY/VALUE: The hybrid model improves detection and prevention of deductions, offering actionable insights for hospital administrators, insurers, and policymakers. Its implementation can enhance hospital information systems, streamline claims processing, and optimize revenue management amid financial constraints.

Machine Learning

Relationships among mechanisms in psychosocial treatments for chronic pain: mechanism to mechanism lagged effects and relationships with outcomes.

Results suggest that psychosocial treatments for chronic pain work via several mechanisms, and that they often do so to similar degrees and in similar ways. Extant research, however, has focused on individual and/or independent effects of mechanisms on outcomes. Whether successful outcomes are also partly because of sequential and meaningful relationships among and between mechanisms-mechanism-to-mechanism effects-has not been examined. Secondary analyses were conducted of an RCT that compared cognitive therapy, mindfulness-based stress reduction, and behavior therapy to treatment as usual in a sample (N = 521) of people with chronic low back pain. Results of hierarchical linear modeling revealed that (1) Treatment Condition × Mechanism interactions predicting changes in other mechanisms were nonsignificant; (2) lagged prior session mechanism changes predicted next session changes in another mechanism; (3) lagged relationships between pain catastrophizing and pain self-efficacy were reciprocal, whereas links between lagged pain catastrophizing and mindfulness changes and lagged pain catastrophizing changes and behavioral activation changes were unidirectional; and (4) individual differences in the strengths of mechanism-to-mechanism relationships predicted pre- to post-treatment changes in outcomes. Results reveal heretofore hidden therapeutic processes that cognitive therapy, mindfulness-based stress reduction, and behavior therapy may share. Namely, that mechanism-to-mechanism lagged effects do indeed emerge beyond mechanism-to-outcome effects. Findings show not only that mechanisms may change in definable sequences relative to each other but that individual differences in the strengths of mechanism-to-mechanism relationships may themselves be predictive of outcomes.

Humans

Ibuprofen versus acetaminophen for acute mild-to-moderate pain management in pediatric populations: a systematic review and meta-analysis of their efficacy.

UNLABELLED: Ibuprofen and acetaminophen are the most widely used analgesics in pediatric practice for the management of acute mild-to-moderate pain. Despite their widespread use, the comparative analgesic efficacy of these two agents in children remains a subject of ongoing debate, with existing evidence largely derived from heterogeneous clinical settings and small individual trials. Therefore, this study aimed to systematically review and meta-analyze randomized controlled trials comparing the analgesic efficacy of ibuprofen versus acetaminophen in pediatric populations with acute mild-to-moderate pain. A systematic literature search was conducted up to May 2026 in PubMed, Scopus, and Web of Science. The review was conducted and reported in accordance with the PRISMA-Children and Adolescents (PRISMA-C) 2026 reporting guideline. Eligible studies were randomized controlled trials comparing ibuprofen with acetaminophen in children and adolescents (defined as individuals aged 0 to&#x2009;<&#x2009;18&#xa0;years) with acute pain, reporting at least one extractable efficacy outcome. Continuous outcomes were synthesized as standardized mean differences (Hedges' g) using random-effects models; dichotomous outcomes were pooled as risk ratios (RRs) with 95% confidence intervals. Risk of bias was assessed using the Cochrane RoB 2 tool and certainty of evidence was evaluated using the GRADE framework. Eight randomized controlled trials enrolling 1325 participants were included. Three pediatric trials contributed to the primary continuous pain outcome meta-analysis (n&#x2009;=&#x2009;196 analyzable participants), yielding a pooled SMD of&#x2009;-&#x2009;0.28 (95% CI&#x2009;-&#x2009;0.57 to 0.00; p&#x2009;=&#x2009;0.052; I2&#x2009;=&#x2009;0%), indicating a small effect favoring ibuprofen that did not reach conventional statistical significance. Given the small number of contributing studies (k&#x2009;=&#x2009;3), the I2 statistic should be interpreted with caution as it has limited power to detect heterogeneity in this context. For the dichotomous pain freedom outcome (2 trials, n&#x2009;=&#x2009;114), no significant difference was observed (pooled RR 1.03, 95% CI 0.53-1.99; p&#x2009;=&#x2009;0.93; I2&#x2009;=&#x2009;0%). A prespecified sensitivity analysis including an adult soft-tissue injury trial attenuated the pooled effect toward the null (SMD&#x2009;-&#x2009;0.15, 95% CI&#x2009;-&#x2009;0.38 to 0.09; p&#x2009;=&#x2009;0.23; I2&#x2009;=&#x2009;36.6%). Narrative synthesis of additional studies generally demonstrated comparable analgesic efficacy between the two agents across postoperative and outpatient pediatric settings. The overall certainty of evidence was rated as low for both primary outcomes, primarily due to imprecision and indirectness. CONCLUSION: Current evidence from randomized controlled trials does not demonstrate a superiority of ibuprofen over acetaminophen for acute mild-to-moderate pain management in children. Both agents appear to provide clinically meaningful analgesia across heterogeneous pediatric pain settings. The clinical choice between agents should be guided by individual patient factors, including contraindications to NSAIDs, the inflammatory nature of the pain etiology, and patient-specific characteristics. The low certainty of evidence underscores the need for adequately powered, methodologically rigorous trials to definitively establish the comparative efficacy of these two analgesics in the pediatric population. WHAT IS KNOWN: &#x2022; Ibuprofen and acetaminophen are the two most widely used non-opioid analgesics for acute mild-to-moderate pain in children, and both are recommended as first-line agents by major international guidelines. &#x2022; Prior meta-analyses in mixed pediatric-adult populations have suggested a modest analgesic advantage of ibuprofen over acetaminophen, but pediatric-specific evidence has remained limited and methodologically heterogeneous. WHAT IS NEW: &#x2022; This systematic review and meta-analysis, restricted to randomized controlled trials in pediatric populations, found that ibuprofen showed a small effect favoring pain reduction compared with acetaminophen (SMD&#x2009;-&#x2009;0.28, p&#x2009;=&#x2009;0.052), although this did not reach conventional statistical significance. &#x2022; The analgesic advantage of ibuprofen may be more pronounced in pain etiologies with a significant inflammatory component (e.g., fractures). At the same time, both agents appear broadly equivalent in most other acute pediatric pain settings, supporting individualized analgesic selection based on clinical context and patient-specific factors.

Humans

Parent-Child Communication after Parental Exposure to Potentially Traumatic Events: A Systematic Review.

Intergenerational traumatization poses a risk for the well-being of children whose parents have been exposed to potentially traumatic events (PTEs). Previous research has implied that parent-child communication may significantly contribute to the transmission of trauma across generations, but findings remain limited and inconclusive, particularly regarding the mechanisms and factors that could underlie this process. Therefore, the present paper performed a mixed methods systematic literature review to methodically map how PTE-exposed parents communicate with their children-both in general and about parental PTEs-and how such communication may contribute to trauma transmission. Five electronic databases were accessed to conduct keyword-led searches, yielding a final inclusion of 31 peer-reviewed, empirical studies that investigated parent-child communication among PTE-exposed parents and/or their nonexposed children. Parental PTE exposure was found to have a negative impact on general parent-child communication, often due to the presence of parental anger, irritability, and withdrawal. Conversations about parental PTEs showed substantial diversity in their frequency, content and style, with strategies of partial/modulated disclosure appearing most common. How parents approached PTE communication frequently stemmed from a desire to keep their children safe and unburdened by their previous experiences. Finally, both general communication and PTE communication were implied to contribute to trauma transmission, revealing a significant impact of parent-child communication on child functioning, identity, and well-being. Based on these key findings, the authors discuss meaningful implications for future research (i.e., prospective directions, addressing methodological concerns) and formulate suggestions for clinicians and policymakers surrounding the treatment of PTE-exposed parents and their offspring.

Humans

Interest holder-driven research priorities in sexual and reproductive health for migrant and refugee adolescents and young adults in Australia.

OBJECTIVE: To identify and prioritise sexual and reproductive health research priorities for migrant and refugee adolescents and young adults in Australia using a priority setting partnership approach. METHODS: A James Lind Alliance priority setting partnership was conducted with 92 interest holders: 31 youth from migrant and refugee backgrounds and 61 professionals (healthcare providers, researchers, policymakers and community leaders), recruited online and in-person. The priority setting partnership process included a rapid evidence scan, an online uncertainty survey, evidence verification, interim prioritisation and a final consensus workshop. RESULTS: Eighty-three research uncertainties yielded 11 final priorities across four sexual and reproductive health domains: sexual and reproductive health literacy, sexual violence prevention, accessible services and maternal health. A striking divergence emerged between youth and professional priorities only 3 achieved combined high-priority consensus. Youth prioritised a broader range of topics, including abortion access (rated high by youth but low by professionals), while professionals prioritised fewer areas. Two priorities achieved consensus: community-based maternal health support and barriers to reporting gender-based violence. CONCLUSION: This is the first priority setting partnership to identify sexual and reproductive health research priorities for migrant and refugee youth in Australia and to uniquely highlight substantial misalignment between youth and professional priorities. IMPLICATIONS FOR PUBLIC HEALTH: These identified priorities provide a foundation for targeted research, culturally responsive policy and more equitable sexual and reproductive health service provision for migrant and refugee adolescents and young adults.

Australia

Artificial Intelligence in Diagnosing Depression Through Behavioural Cues: A Diagnostic Accuracy Systematic Review and Meta-Analysis.

AIM: To synthesise existing evidence concerning the application of AI methods in detecting depression through behavioural cues among adults in healthcare and community settings. DESIGN: This is a diagnostic accuracy systematic review. METHODS: This review included studies examining different AI methods in detecting depression among adults. Two independent reviewers screened, appraised and extracted data. Data were analysed by meta-analysis, narrative synthesis and subgroup analysis. DATA SOURCES: Published studies and grey literature were sought in 11 electronic databases. Hand search was conducted on reference lists and two journals. RESULTS: In total, 30 studies were included in this review. Twenty of which demonstrated that AI models had the potential to detect depression. Speech and facial expression showed better sensitivity, reflecting the ability to detect people with depression. Text and movement had better specificity, indicating the ability to rule out non-depressed individuals. Heterogeneity was initially high. Less heterogeneity was observed within each modality subgroup. CONCLUSIONS: This is the first systematic review examining AI models in detecting depression using all four behavioural cues: speech, texts, movement and facial expressions. IMPLICATIONS: A collaborative effort among healthcare professionals can be initiated to develop an AI-assisted depression detection system in general healthcare or community settings. IMPACT: It is challenging for general healthcare professionals to detect depressive symptoms among people in non-psychiatric settings. Our findings suggested the need for objective screening tools, such as an AI-assisted system, for screening depression. Therefore, people could receive accurate diagnosis and proper treatments for depression. REPORTING METHOD: This review followed the PRISMA checklist. PATIENTS OR PUBLIC CONTRIBUTION: No patients or public contribution.

Humans

Pelvic lymph node dissection in prostate cancer: current evidence, controversies, and future directions.

BACKGROUND: Pelvic lymph node dissection (PLND) remains controversial in the management of prostate cancer. Although it provides the most accurate pathological staging, its therapeutic value beyond staging has long been debated due to conflicting evidence and concerns regarding procedure-related morbidity. OBJECTIVE: To critically evaluate the contemporary role of PLND, particularly extended pelvic lymph node dissection (ePLND), in prostate cancer management in the context of modern imaging, risk stratification tools, and evolving oncologic endpoints. EVIDENCE ACQUISITION: A narrative review of recent literature was conducted, focusing on high-level evidence including randomized trials, observational studies, and contemporary guideline recommendations addressing the indications, extent, oncologic outcomes, and complications of PLND. EVIDENCE SYNTHESIS: Recent randomized and observational studies suggest that ePLND improves nodal staging accuracy and may be associated with modest improvements in metastasis-free survival (MFS) in selected patients with intermediate- and high-risk prostate cancer, although the absolute benefit remains limited and causality is not definitively established. Advances in molecular imaging, particularly prostate-specific membrane antigen (PSMA) PET/CT, together with multiparametric MRI, validated nomograms, and emerging genomic classifiers, now allow more precise identification of patients most likely to benefit from ePLND. The integration of these tools supports a more individualized surgical strategy, including image-guided and sentinel lymph node approaches designed to maximize staging accuracy while minimizing unnecessary dissection. CONCLUSIONS: In the contemporary PSMA imaging era, ePLND continues to play an important role in nodal staging and may contribute to improved oncologic outcomes in carefully selected patients.

Humans

Serum Albumin on Admission: A Prognostic Marker of Morbidity and Mortality in Burns? A Systematic Review and Meta-Analysis.

Albumin is essential for maintaining oncotic pressure and vascular integrity. In burn injuries, increased capillary permeability leads to hypoalbuminemia, which is a recognized marker of poor outcomes in critical illness. However, its prognostic value in acute burn care remains underexplored. This study evaluated the prognostic value of admission serum albumin in predicting mortality, acute kidney injury (AKI), hospital and intensive care unit length of stay, ventilatory requirements, sepsis, and pulmonary infection in patients with burn injuries. A systematic search of PubMed, Scopus, Cochrane Library, Web of Science, MEDLINE, and Embase was conducted. Of 5587 studies screened, 19 were included in the systematic review and 9 in the meta-analysis. Statistical analysis was performed using RStudio, with pooled outcomes reported as odds ratios (ORs), standardized mean differences, and hierarchical summary receiver operating characteristic curves. Heterogeneity was assessed using Cochran's Q, I2, and tau2. Hypoalbuminemia on admission was significantly associated with increased mortality during admission (OR 9.51; 95% CI, 3.04-29.78; I2 49.3%). Admission hypoalbuminemia was also associated with an increased risk of AKI (OR 2.83; 95% CI, 2.49-3.22; I2 0%). Evidence for other outcomes was limited and heterogeneous. Admission serum albumin appears to be a valuable prognostic marker in patients with burn injuries, particularly for mortality and AKI. Further research is required to support its integration into burn-specific risk models, characterize albumin trends within the first 24&#xa0;h postinjury, and establish optimal cut-off values.

Humans

Analyzing the impact of subcutaneous injection needle, device, and administration characteristics on patient pain, anxiety, and safety: a systematic literature review.

The subcutaneous (SC) injection route is a commonly used and important method for therapeutic delivery of a wide range of compounds, and needle characteristics have a significant influence on patient pain, anxiety, safety, and other outcomes. This systematic review evaluates the evidence on how needle-specific characteristics (e.g. gauge, length, tip design, wall thickness, concealment) and administration- or device-related factors can affect patient-reported outcomes and clinical safety indicators during and following SC injections. A comprehensive search was conducted in MEDLINE, PubMed, Embase, and ClinicalTrials.gov in June 2024. Studies were included if they assessed the relationship between needle characteristics and pain, anxiety, safety, or related outcomes in individuals receiving SC injections. A dual-reviewer process was used for study selection, data extraction, and quality assessment. Sixty-two studies met inclusion criteria. Evidence consistently indicated that thinner and shorter needles reduced patient-reported pain and adverse events such as bruising and bleeding. Tapered and lubricated needles, hidden or retractable needle designs, and use of autoinjectors or prefilled syringes also contributed to reduced anxiety and improved user satisfaction. However, results were heterogeneous, and many studies lacked sufficient power or single-variable evaluation of individual needle parameters, limiting definitive conclusions. Needle characteristics significantly influence patient experience and safety with SC delivery. While both clinical evidence and practical experience clearly favor thinner, shorter, and concealed needles, further standardized, high-quality research is needed to isolate and quantify the specific contributions of individual needle characteristics to optimize injection practices and support patient-centered device design.

Humans

Antimicrobial photodynamic therapy mediated by phenothiazine photosensitizers against Candida albicans and Candida auris: a systematic review.

Fungal infections caused by Candida albicans and Candida auris represent an increasing clinical challenge, particularly due to biofilm formation and rising antifungal resistance. Antimicrobial photodynamic therapy (aPDT) has emerged as a potential alternative strategy, with phenothiazine-based photosensitizers being among the most extensively investigated compounds. This systematic review aimed to evaluate the application of phenothiazine-mediated aPDT in in vitro studies against C. albicans and C. auris. A comprehensive search was conducted in PubMed, Embase, and Scopus, including studies published within the last 10 years. Forty in vitro studies met the eligibility criteria and were synthesized descriptively due to substantial methodological heterogeneity. Overall, aPDT was associated with reductions in fungal viability, with generally greater effects reported in planktonic models compared with biofilms. Methylene blue was the most frequently investigated photosensitizer, applied across a broad range of concentrations and dosimetric parameters, resulting in variable antifungal responses. Other phenothiazine derivatives, including toluidine blue O, dimethyl methylene blue, new methylene blue, and S137, were also associated with antifungal activity under specific experimental conditions but remain comparatively underexplored. Studies involving C. auris were less frequent and suggested lower susceptibility compared with C. albicans, particularly in biofilm models. Given the substantial variability in experimental protocols, especially regarding photosensitizer concentration, light parameters, and biofilm maturation, the findings should be interpreted with caution and limit direct comparison across studies. These findings support the antifungal potential of phenothiazine-mediated aPDT while emphasizing the need for methodological standardization and expanded investigation of C. auris.

Photochemotherapy

Late hiatal hernia after Roux-en-Y gastric bypass: a systematic review.

Obesity is a global public health issue. This condition is linked to gastroesophageal reflux disease (GERD) and hiatal hernia (HH), both of which are exacerbated by increased intra-abdominal pressure. Roux-en-Y gastric bypass (RYGB) is one of the most widely performed techniques for treating obesity and is considered a versatile option suitable for most patients. The development of a symptomatic HH and pouch migration can lead to various symptoms and complications. PubMed, EMBASE, and Cochrane Central were searched for studies with late HH after RYGB. We pooled outcomes for symptom resolution. Secondary outcomes were recurrence rate and operation characteristics (mesh use, cruroplasty, gastropexy, reoperation, length of stay, and operative time). A meta-analysis could not be conducted due to significant heterogeneity in HH. HH following RYGB presents with GERD (39-93.6%), obstructive symptoms (29%-88%), and abdominal pain (28.6%-71%). Diagnostic methods include endoscopy, computed tomography scans, and upper gastrointestinal series. Surgical management varies, with primary cruroplasty being the most common approach, sometimes incorporating mesh or fundoplication. Postoperative symptom resolution rates range from 42.9% to 100%, with HH recurrence occurring in 5%-6.54% of cases. Follow-up durations varied, showing improvement in most patients, though some continued to experience reflux and dysphagia HH contributes to obstructive and reflux symptoms, with contrast-enhanced imaging offering the highest diagnostic accuracy. Bioabsorbable mesh may reduce recurrence, highlighting the need for long-term monitoring.

Humans

Infertility treatment in women with epilepsy: A systematic review.

BACKGROUND: The impact of assisted reproductive technologies (ART) on seizure control in women with epilepsy remains incompletely understood. METHODS: A systematic review was conducted according to PRISMA guidelines. EMBASE, MEDLINE, CINAHL, Scopus, and the Cochrane Library were searched from inception to March 2025. Eligible studies included observational studies and case-based reports involving women undergoing infertility treatment. RESULTS: A total of 1216 publications were identified, of which four studies met the inclusion criteria, including case reports, a case series, and a cohort study. These studies included 16 women aged 25-46&#xa0;years undergoing infertility treatment, all but one of whom had epilepsy. Interventions involved in vitro fertilization (IVF), ovulation induction, and hormonal therapies. Patients were treated with a range of antiseizure medications (ASMs), including carbamazepine, clobazam, lamotrigine, levetiracetam, oxcarbazepine, valproate, and zonisamide, either as monotherapy or in combination. Seizure frequency was generally stable, with most patients maintaining baseline seizure control. Seizure exacerbations were uncommon and primarily associated with hormonal therapy and reduced ASM levels, particularly reduced lamotrigine levels. Reported events included breakthrough seizures in the setting of decreased lamotrigine concentrations, seizure clusters associated with follitropin beta, and a new-onset seizure following dehydroepiandrosterone exposure. Across studies, multiple ART attempts resulted in live births with different ASM regimens, as well as in patients not receiving ASMs. CONCLUSION: Available evidence suggests that ART is feasible in women with epilepsy, with most patients maintaining stable seizure control. Hormonal therapy may affect ASM pharmacokinetics and seizure threshold, thereby warranting close monitoring. Larger prospective studies are needed to better define ASM-specific effects and optimize care.

Humans

Nimodipine in animal models of demyelination relevant to multiple sclerosis: a systematic review.

BACKGROUND: Multiple sclerosis (MS) is the most common inflammatory neurodegenerative disease in which axonal injury, neuronal death, and demyelination occur. Treatment for MS relapses remains limited, which alleviates acute loss of function but has no impact on long-term disability. This study aimed to perform a systematic review of the effects of nimodipine on experimental demyelination models, including experimental autoimmune encephalomyelitis (EAE) and Cuprizone models in rodents. METHODS: This study was conducted following the PRISMA statement. A systematic search was performed in PubMed, Scopus, the Cochrane Library, and Google Scholar. The primary outcome was EAE clinical disease severity (peak clinical score and/or cumulative disease burden). Secondary outcomes included relapse activity (when reported), histological myelin outcomes, oligodendrocyte lineage markers, neuroaxonal injury markers, and inflammatory readouts. Risk of bias was assessed using the SYRCLE tool. RESULTS: Out of 4660 results, 5 studies were included in the systematic review (four EAE studies and one cuprizone model). Nimodipine was administered using heterogeneous regimens (oral, intravenous, intraperitoneal, subcutaneous, or osmotic pump delivery; 1-30&#xa0;mg/kg/day). The included studies reported the variable effects of nimodipine on relapse-related outcomes, myelination, inflammatory processes, and neuroprotection in the EAE model of MS. Across EAE studies, nimodipine generally reduced clinical disease severity or cumulative burden, although relapse-related outcomes were inconsistent. CONCLUSIONS: Preclinical evidence suggests that nimodipine may attenuate disease severity and demyelination and may promote repair-related processes in rodent models relevant to MS. However, to evaluate the clinical applicability of nimodipine in MS patients, well-powered, transparently reported preclinical replication and early-phase clinical studies are required before clinical translation.

Animals

Effects of extended problem-based learning interventions on undergraduate nursing education: A systematic review.

OBJECTIVE: Exploring the effects of long-term PBL (problem-based learning) intervention on undergraduate nursing students. METHODS: The article retrieved literature from CINAHL Complete, Academic Search Complete, Web of Science, PubMed, EMBASE, OVID, and Cochrane Library up to January 2025. Studies had to meet all of these criteria: (1) They used a randomized controlled trial (RCT) and quasi-experimental design. (2) The PBL pedagogy intervention lasted 4&#xa0;weeks or longer. (3) The participants were undergraduate nursing students. (4) They reported primary outcomes. These included critical thinking, problem-solving skills and self-directed learning. Two researchers screened articles, extracted data, and assessed quality independently using blinding. They used Cochrane ROB2 for RCTs and ROBINS-I for quasi-experimental studies to judge bias risk. Meta-analysis was performed using RevMan 5.4 software. For continuous variables, standardized mean difference (SMD) and 95% confidence interval were calculated. Heterogeneity was assessed by I2 statistic. When I2&#xa0;>&#xa0;50%, sensitivity analysis was conducted. The source of heterogeneity was explored by excluding studies one by one. The primary outcomes included standardized critical thinking, problem-solving, and self-directed learning assessment results. RESULTS: A total of 11 randomized controlled trials and quasi-experimental studies were retrieved and included for meta-analysis. The experimental group significantly outperformed the control group in critical thinking, problem-solving, and self-directed learning, with differences being statistically significant (P&#xa0;&#x2264;&#xa0;0.05). However, high heterogeneity was observed. After sensitivity analysis, the heterogeneity was reduced and the results remained statistically significant, indicating that the findings were not solely dependent on the excluded studies.

Problem-Based Learning

Associations between prescribed amphetamines and spontaneous cervical artery dissection: a matched case-control study.

AIMS: To assess whether prescribed amphetamines are associated with spontaneous cervical artery dissection (sCeAD), an important cause of stroke in young adults. METHODS: We conducted a retrospective matched case-control study within a large academic health system in Chicago, Illinois. Adults aged 18-85&#xa0;years with incident sCeAD were matched 1:4 to controls without dissection on age, sex, and race/ethnicity. The primary exposure was documented amphetamine prescription. Conditional logistic regression was used to estimate adjusted odds ratios (ORs) controlling for relevant vascular and clinical covariates. Sensitivity analyses included strict matched-strata and inverse probability-weighted models. RESULTS: Among 11,463 individuals, including 2,293 cases and 9,170 controls, amphetamine exposure was associated with higher odds of sCeAD (adjusted OR 1.70, 95% CI 1.18-2.46). Results were unchanged in strictly matched strata (OR 1.70, 95% CI 1.18-2.46) and remained directionally consistent after inverse probability weighting (OR 1.40, 95% CI 1.09-1.79). High-dose amphetamine exposure (&#x2265;30&#xa0;mg/day) had the strongest association (OR 1.96, 95% CI 1.18-3.26), whereas low-dose exposure was not statistically significant. CONCLUSION: Prescribed amphetamines were associated with modestly increased odds of sCeAD. While these findings are observational and hypothesis-generating, they may support a possible association in susceptible patients.

Humans

Protective association of the ELMO1 rs741301 variant against diabetes mellitus and diabetic nephropathy: a systematic meta-analysis of case-control studies.

CONTEXT: Diabetes mellitus (DM), an endocrine disorder, is characterised by persistently elevated blood glucose levels due to inadequate insulin production. Diabetic nephropathy (DN), is a critical complication associated with DM, often leading to end-stage renal failure and increased mortality. OBJECTIVE: This meta-analysis aimed to evaluate the association between the ELMO1 rs741301 polymorphism and susceptibility to DN among individuals with diabetes. METHOD: A systematic literature search was conducted for studies published between 2014 and 2024 using Embase, Google Scholar, and PubMed. Eligible case-control studies investigating the association between ELMO1 rs741301 and DN among individuals with DM were selected according to predefined inclusion criteria. Nine case-control studies comprising 880 individuals with DM and 1008 individuals with DN were included in the meta-analysis. RESULTS: The pooled analysis demonstrated a significant protective association between the ELMO1 rs741301 polymorphism and DN under the allelic model (OR = 0.77, 95% CI: 0.67-0.88), recessive model (OR = 0.74, 95% CI: 0.61-0.90), and dominant model (OR = 0.68, 95% CI: 0.53-0.88). In contrast, no statistically significant association was observed under the over-dominant model. CONCLUSION: The findings suggest that the ELMO1 rs741301 polymorphism may be associated with a reduced susceptibility to DN among individuals with DM. These findings provide evidence for a potential genetic contribution of ELMO1 to DN susceptibility and may help improve understanding of the genetic factors underlying diabetic complications. Further well-designed studies in diverse populations are warranted to validate this association.

Humans