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PubMed2026

Fructophilic lactic acid bacteria as a window into multi-scale convergent evolution.

Fructophilic lactic acid bacteria (FLAB) are a group of lactic acid bacteria with unique growth characteristics, that is, poor growth on glucose. Their growth is enhanced in the presence of fructose or external electron acceptors. These organisms inhabit fructose-rich environments such as flowers, fruits, and pollinating insects, particularly honey bees. Apilactobacillus spp. and Fructobacillus spp. are representatives of FLAB, although they belong to phylogenetically distant clades. These organisms commonly possess markedly small genomes with a low number of coding DNA sequences. Furthermore, their genomes are characterized by a markedly reduced number of genes involved in carbohydrate transport and metabolism. Genome reduction in FLAB reflects convergent adaptation to fructose-rich environments rather than general genome streamlining. The two distinct FLAB genera, Fructobacillus and Apilactobacillus, independently lost more than 100 genes in statistically similar orders. In contrast, genes involved in carbohydrate and amino acid metabolism exhibited reversed orders of loss between the two genera. Furthermore, FLAB genomes lack an intact bifunctional alcohol/aldehyde dehydrogenase gene (adhE), which causes their poor growth on glucose. A comparative genomic study suggested the evolutionary process underlying adhE gene decay during adaptation to the fructose-rich environments, including pollinating insects. In conclusion, FLAB represent a unique example of habitat-driven convergent reductive evolution that can be investigated across multiple biological scales - from individual genes to whole genomes - in the diverse LAB group with a wide range of habitats, and partially share the fructophilic evolution with eukaryotic yeasts found in fructose-rich habitats.

Fructose↗
PubMed2025

The mediating role of protective factors in relationship between caregiving components and psychosocial adjustment among young carers: a meta-analysis.

OBJECTIVE: Higher youth caregiving is associated with poorer psychosocial outcomes in young carers; hence a research priority is to investigate protective factors that mitigate the adverse effects of youth caregiving. This systematic review with meta-analysis examined the relationships among youth caregiving components and young carer psychosocial adjustment and protective factors, as well as the mediating role of the protective factors in the relationship between caregiving components and psychosocial adjustment. METHODS: Three electronic databases were searched until April 2024 and 10,244 unique publications were identified. Following abstract and title screening, 422 publications were subjected to full-text screening and 60 quantitative studies were included in this study. RESULTS: Meta-analytic structural equation modeling (MASEM) results revealed positive direct effects of caregiving responsibilities and caregiving experiences on benefit finding (&#x3b2;&#xa0;=&#xa0;.43, 95% CI [.074, .782], p&#xa0;<&#xa0;.05) and emotion regulation (&#x3b2;&#xa0;=&#xa0;.72, 95% CI [.44, 1.00], p&#xa0;<&#xa0;.001), respectively. However, there was neither a significant direct effect of caregiving components on psychosocial adjustment nor a significant indirect effect of caregiving components on psychosocial adjustment through benefit finding or emotion regulation. CONCLUSION: Findings revealed a need for research into how caregiving contextual factors affect relations among youth caregiving, protective factors, and adjustment.

Humans↗
PubMed2026

Artificial intelligence in treatment prediction for skeletal Class III malocclusion: A systematic review.

In skeletal Class III patients, treatment options range from orthodontics to orthognathic surgery. Choosing the optimal approach requires a comprehensive clinical evaluation, which may be supported by AI tools. The aim of this study was to assess the performance of AI models in predicting the need for orthognathic surgery and in identifying predictors influencing treatment decisions. A PRISMA-guided electronic database search (PubMed, Web of Science; 2009-2024; English/French) was performed to identify studies using machine learning (ML) or deep learning (DL) on cephalometric and clinical data. After screening and assessment for eligibility, 15 studies were critically appraised. Model performance was summarized using accuracy, sensitivity, specificity, and the area under the curve (AUC). ML algorithms (particularly Random Forest and XGBoost) and DL models (ResNet-based convolutional neural networks (CNNs)) achieved high accuracy for predicting surgical need. Frequently selected predictors included Wits appraisal, ANB angle, the maxillomandibular ratio (Mx/Md), overjet, and the divergence of the lower gonial angle. AI methods show promise for assisting treatment decisions in Class III malocclusion, with Random Forest and XGBoost performing well on tabular cephalometric data and CNNs on imaging. Larger, multicentre datasets and external validation are needed to improve reliability, address bias, and support clinical implementation.

Humans↗
PubMed2026

Real-World Efficacy and Safety of Standard-of-Care Chimeric Antigen Receptor T-Cell (CART) and Bispecific T-Cell Engager (TCE) Therapies in Relapsed/Refractory Multiple Myeloma (RRMM).

We aimed to evaluate the real-world (RW) efficacy and safety of standard-of-care CART versus TCE therapies in relapsed/refractory myeloma (RRMM), to assess utilization, outcomes, and tolerability of these therapies in a RW oncology in the US. Data were derived from the US-based, electronic health record-derived deidentified Flatiron Health Research Database, 2021-2024. A total of 419 patients (CART n&#x2009;=&#x2009;220; TCE n&#x2009;=&#x2009;199) with a confirmed diagnosis of myeloma who received CART or TCE as a standard-of-care treatment after at least 2 prior lines of therapy were included. Patients in the CART cohort were younger, had better ECOG PS, and a higher receipt of a prior autologous stem cell transplant versus bispecific TCE cohort. In CART versus TCE cohort, the overall response rates (ORR) were 83.3% versus 66.3%, median duration of response 7.9&#x2009;months versus 4.3&#x2009;months, progression free survival (PFS) 13.6&#x2009;months versus 10.5&#x2009;months, and overall survival (OS) of 29.8&#x2009;months versus 21.9&#x2009;months, respectively. A higher percentage of hematologic toxicity, infections, and cytokine release syndrome (CRS) were noted in the CART versus TCE cohort. This study provides insights on the RW effectiveness of CART versus TCE in the treatment of RRMM; highlights the differences in patient selection, clinical responses, treatment duration, and toxicity profiles.

CART↗
PubMed2026

Marine air promotes structural compaction and coating growth of soot aerosols after long-range transport from East Asia.

Soot aerosol, a key global warming contributor, undergoes morphological and chemical transformations during atmospheric transport, particularly in humidified marine environments. This study investigates morphology, mixing state, and aging mechanisms of soot particles collected in the Bohai Sea and Yellow Sea. Transmission electron microscopy analyses reveal that coated soot particles dominate the marine atmosphere, accounting for over 98 % of soot-containing particles, with a mean mixing state index (&#x3c7;) of 0.83. The fractal dimension (Df) of soot particles is 1.84 &#xb1; 0.05 in the Northern Yellow Sea, 1.90 &#xb1; 0.08 in the Bohai Sea, and 1.96 &#xb1; 0.07 in the Southern Yellow Sea, indicating structural compaction during long-range transport. Correspondingly, the average Dp/Dcore ratios (particle to core size ratio) are 5.3 in the Bohai Sea, 4.2 in the Northern Yellow Sea, and 3.9 in the Southern Yellow Sea. Notably, those ratios are higher in marine environments compared to those observed during continental regional transport from northern to southern China (3.54), suggesting enhanced coating growth in humid marine air. The results highlight the important role of marine atmospheres in accelerating soot aging, which in turn leads to significantly stronger light absorption compared to soot in continental air. Our results highlight the necessity of incorporating compact morphologies, uniform mixing states, and thick coatings into optical models for accurate radiative forcing simulations.

Aerosols↗
PubMed2025

Impacts of Climate Change and Related Weather Events on the&#xa0;Health and Wellbeing of Culturally and Linguistically Diverse Communities: A Systematic Review.

BACKGROUND: Vulnerable populations such as culturally and linguistically diverse communities (CALD), ethnic minorities and racial groups face a disproportionate burden of climate change-related health impacts due to a combination of socio-cultural and economic factors, geographic vulnerabilities and health disparities. This review synthesised the existing evidence on the health and wellbeing impacts of climate change and related weather events among CALD communities. METHODS: A narrative synthesis approach was utilised to conduct a systematic review. Three electronic databases (PubMed, Scopus and Web of Science) were searched, identifying 25 studies for appraisal and synthesis. Studies published in the English language from January 2010 to March 2024 were included in the review. RESULTS: The reviewed studies, mostly carried out in the USA, employed varied study designs, and focused on diverse CALD groups such as migrants, farmworkers and racial and ethnic minorities. The included studies addressed broader and specific climate change-related events, ranging from heat-related impacts and hurricanes to occupational heat exposure. CALD communities were found to be more vulnerable to climate change-related negative physical and mental health issues, further exacerbated by poor living conditions, limited access to healthcare, and cultural and language barriers. CONCLUSION: Future efforts by governments, healthcare agencies, employers and research institutions should prioritise multilingual risk communication strategies, providing culturally appropriate health education and healthcare access, housing improvements and the investigation of long-term health impacts of climate change and coping mechanisms adopted among CALD populations.

Climate Change↗
PubMed2025

Evaluation of Prevalence of Obstetric Violence and its Associated Factors: A Systematic Review and Meta-Analysis.

Obstetric violence (OV) begins with a woman's initial contact with a health institution and can persist throughout pregnancy, labor, and the postpartum period. Despite this, previous research has largely focused on the labor process. This systematic review and meta-analysis aimed to determine the prevalence and associated factors of OV experienced by women during pregnancy, labor, or the postpartum period. We conducted systematic searches in five electronic databases (Web of Science, Scopus, CINAHL Ultimate, MEDLINE Ultimate, and OVID) between April 27 and August 7, 2024. Studies were included if they involved women aged 18 and above who experienced mistreatment, abuse, disrespect, or OV during pregnancy, childbirth, or the postpartum period; employed quantitative cohort, descriptive, or cross-sectional designs; were written in English; reported the prevalence of OV and/or associated factors; and were published between January 1, 2007 and December 31, 2023. Data synthesis involved meta-analysis, meta-regression, and narrative synthesis methods. A total of 41 studies, including 43,977 participants from 17 countries, were included. The meta-analysis revealed that the pooled prevalence of OV was 61.7% (95% CI [0.549, 0.680]; I&#xb2;: 99.258%). The meta-regression analysis showed that variables such as the country of study, income level of countries, study setting, study design, and risk of bias had statistically significant effects on OV. In addition, 40 risk factors and 14 protective factors were identified through narrative synthesis. This highlights the high prevalence of OV and the need to address the associated factors.

Humans↗
PubMed2026

Preregistration nursing student attrition and strategies to improve student retention in university; an umbrella review.

BACKGROUND: Attrition among preregistration nursing students remains a persistent international challenge, contributing to nursing workforce shortages. Although extensive research has examined factors influencing student attrition and retention, the evidence is fragmented across review-level literature, limiting clarity regarding priority and evidence-informed retention strategies. AIM: To synthesize review-level evidence on factors associated with preregistration nursing student attrition and to identify strategies that support student retention in university-based nursing programs. METHODS: An umbrella review was conducted in accordance with the Joanna Briggs Institute methodology. Six electronic databases were systematically searched for peer-reviewed literature reviews published in English between January 2016 and October 2025. Eligible reviews focused on undergraduate preregistration nursing students in face-to-face university programs. Methodological quality was appraised using the JBI critical appraisal checklist. Findings were synthesised using narrative and thematic approaches. RESULTS: Seventeen literature reviews were included. Attrition was consistently described as multifactorial, influenced by academic preparedness, psychosocial wellbeing, socio-demographic factors, and institutional support. Retention strategies reported across reviews were predominantly relational, developmental, and sustained over time, including mentoring, tutoring, academic skills development, psychosocial support, and interventions that foster belonging. Faculty engagement and holistic approaches were repeatedly associated with improved student persistence. However, the evidence base was largely descriptive, with limited experimental evaluation of intervention effectiveness. CONCLUSION: Preregistration nursing student retention is best supported through multifaceted, sustained strategies that begin at admission and extend throughout the curriculum. While current evidence highlights consistent patterns of effective support, further rigorous research is required to evaluate retention interventions and extend evidence to flexible nursing education pathways.

Humans↗
PubMed2025

Selective Neurectomy Outcomes in Synkinesis Patients: The First 56 Consecutive Primary Cases with Minimum 1-Year Follow-Up.

INTRODUCTION: Evaluation of 1-year follow-up outcomes after selective neurectomy (SN) is essential to confirm sustained improvements in patient-reported, clinician-graded, and objective results. OBJECTIVE: To assess outcomes of SN in synkinesis, using patient-reported outcomes (VAS), clinician-graded assessments (eFACE), and objective evaluations. METHODS: Synkinesis patients who underwent SN were included in the study. Patients with less than 12 months of follow-up were excluded. Visual analog scale (VAS) was assessed as patient-reported outcomes. The Electronic Clinician-Graded Facial Function Scale (eFACE) was also assessed. Objective evaluations were carried out via Emotrics Software. RESULTS: Fifty-six primary cases were included, with a mean patient age at surgery of 33.8&#x2009;&#xb1;&#x2009;11.0 years. Of these, 45 patients (80.3%) were female. The average duration between paralysis and surgery was 124.3&#x2009;&#xb1;&#x2009;103.3 months. The mean duration between surgery and evaluation was 19.7&#x2009;&#xb1;&#x2009;7.5 months (mean/SD). Preoperative and postoperative mean aggregate VAS scores were 35.5&#x2009;&#xb1;&#x2009;19.8 and 67.7&#x2009;&#xb1;&#x2009;16.5, respectively (p < 0.001). However, two patients (3.7%) reported worsening in moving food around in the mouth, and four patients (7.5%) reported worsening in drooling. All postoperative eFACE subscores except periocular demonstrated significant improvement (p < 0.001). Emotrics analysis demonstrated improvement in all postoperative symmetry parameters, except in the periocular region. CONCLUSIONS: SN improves patient-reported outcomes, clinician-graded assessments, and objective measurements. However, periocular outcomes remain suboptimal, and functional deficits should be carefully considered.

Humans↗
PubMed2026

Neonatal outcomes following antenatal corticosteroid administration before planned caesarean birth at late preterm or early term (36-38 weeks' gestation): a retrospective cohort study.

OBJECTIVE: To investigate the benefits and harms associated with antenatal corticosteroids (ACS) prior to planned caesarean birth at late preterm or early term. DESIGN: Retrospective cohort study. SETTING: South Australia, Australia, 2005-2018. PATIENTS: Women with singleton pregnancies undergoing planned caesarean birth between 36+0 and 38+6 weeks' gestation. METHODS: We used routinely collected electronic maternity and neonatal data. Adjusted risk differences (aRD) with 95% CIs were calculated for neonatal and maternal outcomes. OUTCOME MEASURES: Neonatal outcomes included respiratory distress requiring oxygen, hypoglycaemia requiring glucose, neonatal unit (NNU) admission and prolonged NNU admission (&#x2265;48&#x2009;hours). RESULTS: Among the cohort of 4049 women, the proportion receiving ACS was 54.8%, 48.4% and 5.6% at 36, 37 and 38 completed weeks' gestation, respectively. ACS administration was associated with a significant reduction in respiratory distress across all gestations, with the greatest reduction seen at 36 weeks' gestation (aRD -12.5%; 95% CI -21.4% to -3.6%). At 38 weeks' gestation, ACS administration was associated with an increased risk of neonatal hypoglycaemia (aRD 5.7%; 95% CI 1.1% to 10.2%), NNU admission (aRD 5.4%; 95% CI 0.1% to 10.7%) and prolonged NNU admission (aRD 4.6%; 95% CI 0.2% to 8.9%). CONCLUSIONS: ACS administration prior to late preterm and early term planned caesarean birth was associated with reduced risk of respiratory distress. The net benefit of ACS administration before planned caesarean birth remains unclear; however, there was evidence of potential neonatal harm when birth occurred after 37 weeks' gestation.

Epidemiology↗
PubMed2026

Comprehensive source-risk assessment of organophosphate esters in surface water of the Dianchi Lake Basin, Yunnan, China.

Organophosphate esters (OPEs), widely used as flame retardants and plasticizers, have been increasingly detected in aquatic environments. However, investigations of their distribution in high-altitude plateau lakes remain scarce. Identifying and quantifying the sources and associated risks of OPEs are crucial for subsequent water environment management. In this study, an integrated source-risk analysis approach was employed by combining the Positive Matrix Factorization (PMF) model, the Geodetector (GD) model, and risk quotient (RQ). Analysis of 14 OPEs in surface waters of the Dianchi Lake Basin (DLB) revealed 12 detectable compounds, with total OPEs concentrations (&#x3a3;OPEs) ranging from not detected (ND)-64.6 ng/L during the wet season and ND-35.8 ng/L during the dry season. Elevated &#x3a3;OPEs were primarily observed at inflow sites in the northern part of the lake and in urban rivers. Source apportionment indicated four major contributing sources: agricultural films containing flame-retardant and plasticizer additives, traffic-related particulate emissions, releases from household and personal care products, and industrial production and applications of flame retardants in plastics, electronics, and related products (the predominant source). The ecological impact caused by OPEs ranges from no risk to low risk, with tris(2-chloroethyl) phosphate emitted from industrial source being the primary driver of potential environmental risk. These findings highlight the necessity of prioritizing industrial sources in future management strategies. Overall, this study provides a methodological framework for source apportionment and risk assessment of OPEs and offers scientific evidence to support environmental management of OPEs in the DLB.

Environmental Monitoring↗
PubMed2025

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↗
PubMed2026

Association between youth athletes' sports specialization and injuries: a systematic review and meta-analysis.

INTRODUCTION: The purpose of this study was to conduct a systematic review and meta-analysis to examine the specialization-injury relationship, and explore whether the specialization-injury relationship is moderated by study design, sport type, age, sex, and injury measurement type, injury mechanism, and anatomical location. METHODS: We searched eight databases by related keywords and assessed the quality of the included studies using the JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies and the Newcastle-Ottawa Scale. The Comprehensive Meta-Analysis (CMA) statistical software 3.7 examined heterogeneity, sensitivity, publication bias, overall effect size of specialization-injury relationship, and moderation effects. This review was prospectively registered in PROSPERO (CRD420251233318). Searches were conducted in eight electronic databases from inception to March, 2026. RESULTS: The 15 included studies showed moderate heterogeneity, stable sensitivity analyses, and no publication bias. The overall odds ratio of the sports specialization-injury relationship was 2.00 (95% confidence interval [1.58-2.55], p&#xa0;<&#xa0;.001). Moderation analyses indicated that sport type significantly influenced the specialization-injury relationship, whereas no significant moderation effects were observed for study design, sex, age, injury measurement type, injury mechanism, and injury anatomical location. CONCLUSIONS: The findings indicate a positive association between sport specialization and injury risk among youth athletes, with variation across sport participation contexts. Specifically, athletes in both contact and non-contact sports demonstrated higher pooled odds of injury than those involved in multiple sports. Although the evidence is heterogeneous and should be interpreted with caution, these findings highlight the potential role of diversified sport participation in relation to injury.

Humans↗
PubMed2025

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↗
PubMed2026

Integrated photoelectrocatalytic reduction and oxidation processes to achieve efficient degradation of fluoxetine in pharmaceutical wastewater.

Fluorinated organic compounds have been frequently detected in aquatic environments, with the widespread use of fluorinated drugs. The existing processes of urban sewage treatment plants are difficult to completely remove these pollutants containing the persistent C-F bonds. In this work, an integrated system of UV-activated sulfite and UV-assisted electrochemical oxidation was innovatively constructed for efficient degradation of fluoxetine. For the UV-activated sulfite unit system, when the sulfite dosage was 0.5 mmol/L and the initial pH was about 10, the defluorination efficiency of 5 mg/L fluoxetine wastewater under nitrogen atmosphere was about 98 %. Subsequently, the UV-assisted electrochemical oxidation unit system was employed to treat the reduced wastewater mentioned above. When the sodium chloride dosage was 25 mmol/L, the initial pH was about 5, and the current density was 30 mA/cm2, the total organic carbon (TOC) removal of the wastewater arrived at 65 %. Active species capture experiments and ESR tests confirmed that hydrated electrons, hydroxyl, and chlorine radicals were the main components for the efficient degradation of fluoxetine. According to the analysis of Fukui function and HPLC-MS, the degradation pathway of pollutants was proposed including defluorination and mineralization. Meanwhile, the toxicity of intermediates was predicted using the ECOSAR program. In addition, the verification test of actual wastewater treatment indicated that the defluorination and TOC removal efficiency of fluorouracil by the integrated system were similar to those for fluoxetine. This work provided a new approach for the efficient degradation of fluorinated organic pollutants in pharmaceutical wastewater.

Fluoxetine↗
PubMed2026

The composition of the periostracum in the razor clam Sinonovacula constricta and the mantle's response to sulfide.

The razor clam Sinonovacula constricta inhabits sulfide-rich intertidal sediments and exhibits remarkable tolerance to this toxicant, yet the role of its periostracum in sulfide adaptation remains poorly understood. In this study, we investigated the composition and structure of the periostracum proteins, and the response of the mantle to sulfide stress. Scanning electron microscopy and energy-dispersive X-ray spectroscopy revealed that the periostracum is approximately 10&#xa0;&#x3bc;m thick and contains 1.43&#xa0;wt% sulfur, and proteomic analysis further confirmed the presence of organic sulfur (Cys/Met-rich proteins), suggesting its involvement in sulfur deposition. Using LC-MS/MS, we identified 77 high-confidence proteins from the periostracum, which were classified into six functional categories: enzymes, framework proteins, immune-related proteins, calcium ion-related proteins, other proteins, and proteins with unknown functions. Phylogenetic analyses of representative proteins revealed bivalve-specific evolutionary patterns, with several proteins exclusively present in Bivalvia, such as Unknown protein 2 and 7, which possess signal peptides and low-complexity domains. For the sulfide exposure experiment, razor clams were subjected to three Na2S concentrations (0, 10, and 100&#xa0;&#x3bc;M). qPCR analysis showed that, compared with the control group, Chitin-binding protein 3 and Tyrosinase were significantly upregulated in the mantle, peaking in the 100&#xa0;&#x3bc;M group at 48&#xa0;h (5677.84-fold and 157.20-fold, respectively), whereas Collagen and Cadherin 3 were generally suppressed. This study represents one of the most comprehensive proteomic profiles of the razor clam periostracum and highlights the mantle's potential role in sulfide tolerance, offering insights for sulfur-tolerant aquaculture breeding and bioremediation applications.

Animals↗
PubMed2026

Post-Breakup Instagram Surveillance: Attachment Style, Personality Traits, and Breakup Distress as Predictors.

The end of a romantic relationship is one of the most emotionally challenging life events. Social media platforms such as Instagram enable users to monitor an ex-partner, a behavior known as Interpersonal Electronic Surveillance (IES), which may complicate coping. This study examined associations with retrospectively reported IES on Instagram during the first 3 weeks post-breakup, focusing on attachment, personality, and breakup-related emotional distress. Previous studies suggest that higher anxious attachment and emotional distress are related to increased monitoring behaviors on Facebook. The present research extends this approach to Instagram, a popular platform among Generation Z, and additionally examines personality factors. Data from N = 232 participants (aged 18-27 years; 84 percent women), who had experienced a breakup within the past year and followed their ex-partner on Instagram, were collected using a cross-sectional online questionnaire. The survey included standardized measures and self-constructed items. Hierarchical regression analyses including breakup-related variables, mediation analyses, and independent-samples t-tests were conducted. Due to extremely low internal consistency, Agreeableness was excluded from inferential analyses. The analyses indicated that Extraversion was the only personality trait directly associated with increased IES. Attachment styles showed no direct associations after emotional distress was included in the model. Emotional distress emerged as the most consistent factor associated with IES, showing patterns consistent with indirect associations involving Neuroticism and anxious attachment, suggesting a central role of emotional distress in post-breakup surveillance behavior. These findings highlight digital monitoring as a potentially maladaptive coping strategy and underscore the importance of addressing social media use in post-breakup adjustment.

Humans↗
PubMed2026

Fused Deposition Modeling (FDM) of polyether-ether-ketone (PEEK) dental implants: A systematic review of the effect of printing parameters on mechanical behaviour and surface quality.

PURPOSE: This systematic review evaluated how FDM printing parameters influence mechanical behaviour and surface characteristics of 3D-printed PEEK and identified parameter combinations linked to the most favourable mechanical performance and surface quality. MATERIALS AND METHODS: An electronic search was conducted in: MEDLINE (Ovid), PubMed, Embase, Web of Science, Scopus, and Compendex (last update: January 2025). Studies that evaluated the effect of FDM printing parameters on mechanical and surface properties of PEEK were included. Outcomes comprised compressive, tensile, and flexural strengths, elastic modulus, fracture toughness, surface hardness, roughness, and wettability. RESULTS: Of 4005 reports screened, 54 manuscripts were included. 92.6% (n&#x202f;=&#x202f;50) of articles showed low risk-of-bias, while 7.4% (n&#x202f;=&#x202f;4) showed medium risk-of-bias. Tensile strength was the most investigated mechanical parameter (78%), followed by elastic modulus (41%), flexural strength (30%), compressive strength (20%), and fracture toughness (6%). Surface roughness was the most evaluated surface property (30%), followed by hardness (17%) and wettability (6%). Across studies, higher printing temperatures, lower printing speed, thinner layer thickness, and maximum infill ratio in a horizontal printing orientation were associated with higher strengths, less warpage, increased accuracy, and improved surface quality. CONCLUSION: Specific combinations of FDM printing parameters can significantly improve the mechanical and surface properties of PEEK. However, it is difficult to meet all the optimal conditions simultaneously. Thus, balancing between different parameters must be considered in practical production.

Benzophenones↗