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PubMed2026

Reported exposure to news portrayals about mental health problems and their impact: Findings from the 2025 National Survey of Stigma and Discrimination.

OBJECTIVE: Media portrayals of people with mental illness have the power to mitigate or perpetuate stigma related to mental health. This study aimed to investigate reported real-world exposure to news media portrayals about people with mental health problems in the past 12 months and the impact of these. METHODS: Data were from a nationally representative survey of 6032 Australians exploring attitudes towards people with mental health problems. Participants were asked about their exposure to positive news stories about a person with a mental health problem, as well as negative portrayals, in which someone was harmed by a person with a mental health problem. Further questions covered the sources (traditional or social media) and impact of these exposures. RESULTS: Regression models were used to explore sociodemographic predictors of impact. Most participants reported exposure to negative news portrayals (68.4%, 95% confidence interval = [66.9, 69.8]), while fewer reported exposure to positive news stories (33.7%, 95% confidence interval = [32.3, 35.2]). Most people exposed to the negative news stories reported a negative impact (69.0%, 95% confidence interval = [67.2, 70.7]), and most exposed to positive news stories reported a positive impact (80.2%, 95% confidence interval = [77.6, 82.5]). Age and gender were associated with reported impact but not lived experience of mental illness. CONCLUSIONS: Exposure to negative news stories about mental health problems was prevalent. Given their impact on news audiences broadly, negative news stories need to be accurate and responsible to mitigate negative impacts. A renewed focus on generating and promoting positive and stigma-challenging news stories is needed to increase subsequent positive impacts.

Humans↗

PubMed2026

Effect of brewers' yeast or beta-glucan derived from Saccharomyces cerevisiae on breast milk supply following preterm birth: the BLOOM randomised controlled trial.

OBJECTIVE: Breast milk is the optimal source of nutrition for preterm infants; however, low breast milk production is common following a preterm birth. This study aimed to determine if taking brewers' yeast or beta-glucan improves daily expressed breast milk volume. DESIGN: Randomised, blinded, parallel, placebo-controlled trial. SETTING: Three Australian tertiary-level neonatal units. PATIENTS: Mothers with a singleton or twin pregnancy who gave birth at <34 weeks' gestation. INTERVENTIONS: Mothers were randomised within 72 hours of birth into three parallel groups in a 1:1:1 ratio to receive either brewers' yeast, beta-glucan or placebo capsules for 7 days. MAIN OUTCOME MEASURE: Total expressed breast milk volume over a 24-hour period on day 7 of intervention. RESULTS: A total of 105 mothers underwent randomisation between August 2022 and April 2024 (36 brewers' yeast, 35 beta-glucan and 34 placebo). The adjusted mean difference in daily expressed breast milk volume was 94 mL/day (95% CI -51 mL/day to 239 mL/day) between the brewers' yeast and placebo groups and -25 mL/day (95% CI -173 mL/day to 123 mL/day) between the beta-glucan and placebo groups. Maternal side effects were similar across groups. CONCLUSION: We found no clear effect of short-term administration of brewers' yeast or beta-glucan on breast-milk production following preterm birth; both interventions were well tolerated. Given the small sample size, these findings do not rule out the possibility of a clinically meaningful benefit of brewers' yeast and suggest further research with a larger sample size may be warranted to clarify the potential clinical impact. TRIAL REGISTRATION NUMBER: ACTRN12622000968774.

Intensive Care Units, Neonatal↗

PubMed2026

Artificial Intelligence for Diagnosing Meibomian Gland Dysfunction: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies.

PURPOSE: To identify, appraise, and synthesize the performance of artificial intelligence-based meibography reading as compared with human graders in diagnosing meibomian gland dysfunction. METHODS: We followed Cochrane methodology and reporting guidelines for diagnostic test accuracy reviews. To assess potential risk of bias and applicability, we used a modified Quality Assessment of Diagnostic Accuracy Studies-2 checklist. We applied bivariate logistic models to estimate summary sensitivity and specificity when appropriate and used the GRADE framework to rate the certainty of the evidence. RESULTS: We identified 14 eligible studies involving 5511 predominantly middle-aged participants (average age: 27-55 years) who were primarily female (≥54.5%). A total of 18,926 meibography images were obtained through noncontact infrared (11 studies) or in vivo confocal microscopy (three studies). Two studies reported external validation of deep learning models, 12 reported internally validated models, and one reported both. All but one study had high risk of bias in at least one domain; 12 studies raised high or intermediate concern about applicability. Based on three external evaluations, the summary sensitivity and specificity for diagnosing meibomian gland dysfunction from normal glands were 97.5% (95% confidence interval: 77.5%-99.8%) and 85.5% (95% confidence interval: 47.3%-97.5%). Sources of heterogeneity in internally validated models included study population, case mix, and others. The overall evidence was very low to low certainty because of imprecision, high risk of bias, and concerns about applicability. CONCLUSIONS: Artificial intelligence-based meibography grading appears less accurate than human graders. Future studies should adopt rigorous designs, including a more diverse participant pool (or image set), and external validation.

Humans↗

PubMed2026

Measurement of low-density lipoprotein cholesterol and other circulating lipids in Brazil: a systematic literature review.

Accurate laboratory assessment of circulating lipids underpins cardiovascular risk stratification, yet clinical interpretation depends not only on the assays but on the formula chosen to estimate low-density lipoprotein cholesterol (LDL-C). This review integrates the 2019-2025 evidence on laboratory methods for triglycerides (TG), total cholesterol (TC), and high-density lipoprotein cholesterol (HDLC), and on the formulas estimating LDL-C, VLDL-C, and non-HDL cholesterol, to determine how these should be measured, reported, and harmonized in Brazil, where lipid thresholds are adapted from international consensus. A PRISMA 2020 systematic search (PROSPERO CRD420251241064) of PubMed/MEDLINE, Scopus, SciELO, LILACS, Web of Science, and Embase retrieved 57,915 records; after removing 38,210 duplicates, 19,705 titles/abstracts were screened, 312 full texts assessed, and 25 sources included. Enzymatic colorimetric assays remain standard for TG, TC, and HDLC. For LDL-C, Martin/Hopkins classifies more accurately than Friedewald (89.6% vs 83.2% correct categorization in 5,051,467 patients), particularly at high TG and low LDL-C, while Sampson/NIH and modified Sampson/NIH extend reliable estimation into hypertriglyceridemia and very low LDL-C; direct measurement is reserved for TG beyond the validated range. Although the review centers on the Friedewald, Martin/Hopkins, and Sampson/NIH families that dominate guideline practice, other published equations exist and are addressed in context. In Brazil, atherogenic-lipid thresholds are risk-based decision limits rather than reference intervals; national surveys describe lipid distributions but were not designed to establish them. Analytical standardization through traceability programs, multicenter validation of formulas, and-where the distribution-based construct applies (HDLC, pediatrics)-nationally derived reference intervals are priorities for equitable cardiovascular risk assessment in Brazil.

Humans↗

PubMed2026

An overview of the use of proteomics and peptidomics to characterize alternative protein foods.

The global protein transition is accelerating the development of alternative protein foods, mainly derived from plants, insects, algae, fungi, and cellular agriculture. Ensuring the authenticity, safety, and nutritional adequacy of these emerging protein matrices requires molecular-level characterization beyond traditional compositional analyses. Proteomics and peptidomics have emerged as transformative analytical platforms capable of decoding the molecular signatures that define protein origin, structural integrity, digestibility, functionality, and health potential. The review comprehensively examines the application of proteomics, and peptidomics for profiling alternative protein foods. Further, the source authentication strategies based on species-specific protein and peptide biomarkers, detection of adulteration in complex matrices, and allergenicity assessment is discussed. Special attention is also given to nutritional proteomics with protein digestibility, gastrointestinal peptide release, and identification of bioactive sequences. SIGNIFICANCE: The importance of this review is that proteomics and peptidomics are becoming central in the management of the fast-growing environment of alternative protein foods, such as plant-based, insect, algal, fungal, and cultured meat products. It provides an explanation of the application of mass spectrometry-based processes to decode molecular signatures defining the origin of proteins, their structural integrity, digestibility, allergenicity, and bioactive properties, and thus directly contribute to safety, nutritional analysis, and authenticity of the product. Presentation of the article includes the integration of the knowledge of traditional muscle foods with alternative systems of proteins, where validated protein and peptide biomarkers are used in authentication, fraud detection, and allergy risk assessment in a wide variety of matrices. It also indicates the role of nutritional proteomics and peptidomics in informing the formulation strategy to promote digestibility and release of health-promoting peptides. In general, this review will guide scientists, the food industry, and regulatory bodies to use modern proteomic technologies in quality assurance, and decision-making, for the advancementof sustainable protein-based foods.

Proteomics↗

PubMed2026

Efficacy of transcranial alternating current stimulation for musculoskeletal pain and sleep quality: a systematic review and meta-analysis.

BACKGROUND: Transcranial alternating current stimulation (tACS) is a non-invasive neuromodulation technique, emerging as a potential therapeutic option for musculoskeletal pain management. OBJECTIVE: To comprehensively evaluate the efficacy and safety of tACS for alleviating pain and improving sleep quality in adults with musculoskeletal pain. METHODS: We conducted a systematic review and meta-analysis of randomized controlled trials (RCTs). Seven major databases and other sources were searched from inception until April 2026. Two reviewers independently screened studies, extracted data, and assessed risk of bias. A random-effects model was used to pool standardized mean differences (SMDs). The certainty of evidence was evaluated using the Grading of Recommendation Assessment, Development, and Evaluation framework. RESULTS: Six RCTs involving 232 participants were included. Meta-analysis showed that tACS could significantly reduce pain intensity compared to control (SMD = -0.355, 95% CI: -0.625 to -0.084, p = 0.010, I² = 28.7%). However, no significant improvement was found for sleep quality (SMD = 0.004, 95% CI: -0.310-0.317, p = 0.982, I² = 0.0%). Adverse effects were mild and transient, comparable to sham stimulation. The overall certainty of evidence was rated as low for both pain and sleep quality outcomes. CONCLUSION: Current evidence suggests that tACS may be beneficial for musculoskeletal pain; however, the available evidence remains limited and should be interpreted cautiously. The effect of tACS on sleep quality remains uncertain because of the limited number of available studies. Future well-designed RCTs with standardized outcome measures, condition-specific stimulation protocols, and longer follow-up are required to establish the efficacy and long-term safety of tACS.

Humans↗

PubMed2026

Introgression shapes the genomic conflict landscape of Malus, providing evidence for a reticulate backbone in a woody crop lineage.

Phylogenomic discordance is widespread across plants, but its evolutionary significance is often obscured when conflict is treated primarily as analytical noise rather than as evidence of underlying processes. In woody lineages in particular, incomplete lineage sorting, introgression, and genome duplication can interact over long timescales to produce complex genomic histories that are not adequately summarized by a strictly bifurcating tree. Here, we use Malus as a model woody genus to investigate how these processes structure conflict across a genus-scale, accession-based phylogenomic framework. Using broad taxon sampling, hundreds of nuclear loci, plastid genomes, and genome-wide SNP summaries, we reconstruct a robust nuclear backbone for sampled Malus lineages and evaluate where discordance is concentrated and which processes best explain it. Nuclear analyses resolve eight major clades, whereas conflict is non-random and localized to recurrent hotspots rather than evenly distributed across the tree. Cytonuclear discordance is similarly concentrated, especially around Clade H, represented by sampled accessions of M. tschonoskii, where localized plastid-nuclear disagreement is consistent with candidate plastid capture or organellar introgression. Multiple complementary analyses further indicate that the strongest conflict is not explained by ILS alone, but instead reflects lineage-structured introgression, while polyploid complexes represent additional localized sources of evolutionary complexity. Together, these results provide evidence for a reticulate genomic backbone in Malus and show how integrating nuclear, plastid, and genome-wide conflict analyses can help distinguish background discordance from process-specific signals in woody plant radiations. Several lineage-level reticulation hypotheses identified here should now be tested with broader population-level sampling and curated reference accessions.

Malus↗

PubMed2026

How AI-supported intelligent systems support infection prevention and control training in healthcare: A systematic review of educational functions and outcomes.

AIMS: Artificial intelligence (AI)-supported intelligent systems have been increasingly incorporated into infection prevention and control (IPC) education and training, primarily to support the monitoring of observable behaviors and the provision of feedback. However, existing evidence has focused largely on short-term compliance outcomes, with limited synthesis of the educational role of AI-supported intelligent systems in supporting sustained IPC competence. This systematic review examined how AI-supported intelligent systems have been designed and used to support IPC education and training, with a focus on system characteristics, educational functions, and reported outcomes. DESIGN: A systematic literature search was conducted across the PubMed/MEDLINE, Embase, Cochrane, and CINAHL databases. DATA SOURCES: A total of 18 studies met the inclusion criteria. Findings were qualitatively synthesized according to system design characteristics, educational functions, and outcome domains. REVIEW METHODS: Methodological quality was appraised using the Mixed Methods Appraisal Tool. RESULTS: Most AI-supported intelligent systems focused on hand hygiene and relied on fully automated monitoring systems to capture behaviors and provide performance feedback. Educational functions were predominantly limited to performance assessment, automated feedback, and reminders. Outcomes were mainly measured using compliance or performance metrics, whereas sustained behavioral change and decision quality were rarely assessed. CONCLUSIONS: AI-supported intelligent systems have been used primarily to reinforce short-term IPC performance and compliance. However, their current applications for supporting sustained competence over time remain limited. The findings of this review suggest that AI-supported intelligent systems may serve as maintenance-oriented educational support by extending learning beyond initial instruction through repeated practice and feedback. Future research should prioritize outcome measures that capture the durability of performance and decision-making processes to better align AI-supported intelligent systems used in IPC education and training with the educational demands of clinical practice.

Humans↗

PubMed2026

Genome mining of alkaliphilic cyanobacterial consortia: identification of biosynthetic gene clusters in Sodalinema and associated heterotrophs.

Alkaline soda lakes are high-pH environments that host specialized microbial communities with potential for biotechnology and natural product discovery. We characterized three Sodalinema-dominated cyanobacterial consortia enriched from Canadian soda lakes over 510 days. Using hybrid metagenomic sequencing and metatranscriptomics across pH, alkalinity, and temperature gradients, we reconstructed high-quality metagenome-assembled genomes and assessed functional activity. All consortia converged toward cyanobacteria dominance and exhibited temperature optima between 21°C and 30°C. Phylogenetic analysis placed Sodalinema genomes within a distinct clade affiliated with Candidatus Sodalinema alkaliphilum. Genomic analysis indicated complete biosynthetic pathways for vitamin B5, vitamin B7, and the molybdenum cofactor, but incomplete pathways for vitamins B1, B9, and B12, consistent with patterns observed in Sodalinema yuhuli. Metatranscriptomic profiles showed increased expression of genes involved in phycocyanin and carotenoid biosynthesis at pH 10.2 relative to pH 8.5. Biosynthetic gene cluster analysis revealed that most secondary metabolic potential resided in heterotrophic community members. Roseinatronobacter encoded pathways for N-acyl homoserine lactones, osmoprotectants, betalactones, and prodigiosin, while Alkalimonas, Wenzhouxiangella, and members of the Kiloniellales encoded clusters for lanthipeptides, cyclodipeptides, hydrogen cyanide, and pyrroloquinoline quinone. These findings indicate functional partitioning within the consortia and highlight the contribution of heterotrophs to secondary metabolism.IMPORTANCEAlkaline soda lakes contain microbial communities adapted to high pH that remain underexplored for biotechnology. This study focuses on Sodalinema, a filamentous cyanobacterium that dominates enriched consortia from Canadian soda lakes, and its associated heterotrophic partners. We show that while Sodalinema drives primary productivity, heterotrophic bacteria encode most of the pathways for antimicrobial and signaling compounds. These interactions may support community stability and defense against competing microorganisms. By linking genomic potential with gene expression, this work identifies alkaline cyanobacterial consortia as a source of bioactive compounds and provides a framework for exploring extremophilic microbial communities for natural product discovery.

Sodalinema↗

PubMed2026

Pancreatic fat and the risk of future dysglycemia: a systematic review and meta-analysis.

CONTEXT: Pancreatic fat has emerged as a metabolically relevant ectopic fat depot, but its longitudinal association with future dysglycemic outcomes remains incompletely defined. OBJECTIVE: This study aims to evaluate the longitudinal association of pancreatic fat with incident type 2 diabetes (T2D) and glycemic progression, with exploratory narrative synthesis of evidence in lean populations. DATA SOURCES: PubMed, Embase, Web of Science, and the Cochrane Library were searched from inception to March 1, 2026. STUDY SELECTION: Longitudinal observational studies assessing pancreatic fat at baseline and reporting subsequent incident T2D, glycemic progression, or both were included. DATA EXTRACTION: Two reviewers independently screened studies and extracted data. Methodological quality was assessed using the Newcastle-Ottawa Scale. DATA SYNTHESIS: Ten studies were included. In the primary binary meta-analysis (5 studies), higher pancreatic fat burden was associated with incident T2D (pooled effect estimate, 2.56; 95% CI, 1.27-5.14; I2 = 93.3%). Exclusion of 1 influential ultrasound-based study attenuated heterogeneity while preserving the association (pooled effect estimate, 1.45; 95% CI, 1.23-1.73; I2 = 10.2%). A separate continuous analysis (3 studies) also supported an association with incident T2D (1.17; 95% CI, 1.04-1.32; I2 = 79.2%), although exposure scales were not directly comparable. Pancreatic fat was also associated with glycemic progression (2 studies; 1.96; 95% CI, 1.10-3.48; I2 = 73.2%). Exploratory lean-population evidence was limited to 2 analytical contexts, synthesized narratively, and directionally consistent with the overall findings. CONCLUSION: Pancreatic fat was associated with adverse future glycemic outcomes across multiple analytical contexts. These findings support pancreatic fat as a potentially meaningful imaging-derived marker of future dysglycemia, while suggesting that heterogeneity is partly explained by differences in exposure ascertainment.

Humans↗

PubMed2026

Effect of Smoking in Oropharyngeal Cancer Treated With TORS: Systematic Review and Meta-Analysis.

OBJECTIVE: While smoking has been implicated as a risk factor for recurrence in HPV-associated oropharyngeal squamous cell cancer (OPSCC) treated with definitive chemoradiation, its prognostic impact on surgically treated OPSCC is less clear. DATA SOURCES: MEDLINE, Embase, CENTRAL, and Scopus. REVIEW METHODS: Articles describing patients with HPV-associated OPSCC treated with transoral robotic surgery (TORS), which reported oncologic outcomes by smoking history, were included. RESULTS: 2079 patients were included across 12 studies. Median age was 58.5 years, and 1808 (87.0%) were male. HPV-associated disease was reported in 1681 (80.9%) patients. T stage was most commonly T2 in 831 (40.0%) and T1 in 764 (36.7%). N stage was N2 in 854 (41.1%), N1 in 544 (26.2%), and N0 in 307 (14.8%). 931 (44.8%) were considered individuals with a smoking history, while 1045 (50.3%) were considered without a smoking history. Median follow up was 33.7 months. Meta-analysis using a fixed effects model demonstrated an overall hazard ratio of 1.4 (95% confidence interval 1.0-2.0) for disease recurrence, 2.7 (95% confidence interval 1.5-4.8) for overall survival, and 1.4 (95% confidence interval 0.4-4.6) for disease specific survival. CONCLUSIONS: In this population of predominantly HPV-associated OPSCC treated with TORS, meta-analysis demonstrated no significant difference in recurrence-free survival or disease-specific survival between individuals with and without a smoking history. Individuals with a smoking history appeared to have worse overall survival, although only five studies reported on this outcome. Further research is required to clarify the prognostic influence of smoking on OPSCC treated with TORS.

Humans↗

PubMed2026

Pathogenic properties of myasthenia gravis AChR autoantibodies associate with clinical response to efgartigimod.

BACKGROUND: Efgartigimod, a neonatal Fc receptor (FcRn) blocker, effectively reduces total IgG, including pathogenic acetylcholine receptor (AChR) autoantibodies in myasthenia gravis (MG); however, clinical responses vary. To investigate this variability, we studied how efgartigimod impacts AChR-specific autoantibody profiles and associated pathogenic mechanisms, including complement activation, AChR internalisation and ACh-binding site blockade. METHODS: Serum samples (N=150) were sourced from 50 AChR autoantibody-positive generalised MG patients participating in the phase 3 ADAPT study, randomised to receive efgartigimod (N=40) or placebo (N=10) in cycles of 4-weekly infusions. Samples were collected at baseline, day 29 and day 57 during the first cycle. Live cell-based assays quantified AChR-specific IgG subclasses and isotypes and assessed their capacity to mediate pathomechanisms. RESULTS: Efgartigimod decreased all detectable AChR-specific IgG subclasses. At baseline, AChR autoantibody-mediated C3b deposition, AChR internalisation and ACh-binding site blockade were detected in 42 (84%), 41 (82%) and 10 (20%) patients, respectively. After 4-weekly infusions of efgartigimod, the magnitude of all three pathomechanisms was significantly decreased. However, the extent of this reduction varied across individuals. Double responders on both MG-activities of daily living and quantitative MG scores demonstrated a greater reduction in complement activity and AChR internalisation compared with patients who responded on only one score or were double non-responders. In addition, efgartigimod reduced IgG-dependent IgM binding to AChR. CONCLUSIONS: These findings suggest that clinical efficacy may be more closely associated with functional modulation of the AChR-specific autoantibodies than with their absolute quantity alone. These results support the evaluation of mechanistic pathway monitoring as a potential strategy to predict or guide efgartigimod treatment response.

Humans↗

PubMed2026

Indications, Techniques and Complications Associated With Pterygoid Implants: A Systematic Review and Meta-Analysis.

BACKGROUND AND OBJECTIVES: Pterygoid implants represent a graftless option for rehabilitation of patients with posterior maxillary atrophy, engaging the dense cortical bone of the pterygomaxillary complex. Despite clinical growth, a comprehensive synthesis of indications, surgical techniques, and complications is lacking. This review evaluated the prevalence of complications, implant survival rates, and marginal bone loss (MBL) associated with pterygoid implant placement. METHODS: The reporting of this review follows PRISMA 2020 guidelines. Six electronic databases (PubMed, Ovid, Scopus, WoS, CENTRAL, and Dentistry & Oral Sciences Source) were searched from 1 January 2020 to 31 December 2025. Included criteria comprised randomized and non-randomized clinical studies reporting outcomes of pterygoid implants (≥ 13 mm) in adult patients with posterior maxillary atrophy (minimum 10 implants). Risk of bias was assessed using JBI critical appraisal checklists. Proportions were pooled using the Freeman-Tukey double arcsine transformation under a random-effects model. Certainty of evidence was assessed using GRADE. RESULTS: Seventeen studies reporting 846 patients and 1915 pterygoid implants were included. The pooled survival rate was 97.9% (95% CI: 97.1%-98.6%; I2 = 0%; 14 studies) and the overall failure rate was 2.1% (95% CI: 1.4%-3.0%). Early failure rate was 0.9% (95% CI: 0.0%-3.0%; I2 = 59.5%). Late failure and MBL were summarized narratively. Certainty of evidence was low to very low. CONCLUSIONS: Pterygoid implants demonstrate excellent survival (97.9%) and low failure rates (2.1%), primarily early, supporting their reliability as a graftless solution for posterior maxillary atrophy. Complications appear infrequent though heterogeneously reported. Low evidence certainty necessitates prospective studies with standardized outcome reporting.

Humans↗

PubMed2026

Efficacy and Safety of GLP-1 Receptor Agonists for the Management of Antipsychotic-Induced Weight Gain.

OBJECTIVE: The objective of this systematic review and meta-analysis was to compare the efficacy and safety of glucagon-like peptide-1 (GLP-1) receptor agonists for the management of antipsychotic-induced weight gain. DATA SOURCES: A systematic review was conducted following PRISMA methodology through July 2025 that evaluated the efficacy and safety of GLP-1 agonists for the management of antipsychotic-induced weight gain. STUDY SELECTION AND DATA EXTRACTION: Efficacy endpoints were change in body weight (kg), change in body mass index (BMI) (kg/m2), and change in HbA1c (%). The safety endpoint was gastrointestinal (GI) adverse effects. A P-value of 0.05 was considered statistically significant, and heterogeneity was reported as I2. DATA SYNTHESIS: Six studies were included in this systematic review, of which 4 trials were included in the meta-analysis. The difference found between GLP-1 agonists and placebo was a change in weight of -5.85 kg (P = 0.0622, 95% CI = -9.72 to -1.97), a change in BMI of -2.11 kg/m2 (P = 0.7692, 95% CI = -5.51 to 1.29), and a change in HbA1c of -1.58 (P = 0.6659, 95% CI = -4.75 to 1.58). The overall risk ratio for a patient to experience a GI-related adverse effect when taking a GLP-1 agonist compared to placebo was 1.83 (95% CI = 1.42 to 2.37). RELEVANCE TO PATIENT CARE AND CLINICAL PRACTICE: While the efficacy endpoints did not reach significance, this meta-analysis shows that select GLP-1 receptor agonists may be used to promote weight loss in patients taking antipsychotics. Controlling antipsychotic-induced weight gain helps patients remain adherent to therapeutic doses of their antipsychotic medications. CONCLUSION: The use of certain GLP-1 agonists may be considered to help promote weight loss in patients experiencing antipsychotic-induced weight gain.

Humans↗

PubMed2026

Tissue origins of the plasma proteomic response to glucose ingestion in humans.

AIMS/HYPOTHESIS: Circulating proteins act as important hormonal signals of nutrient intake. We aimed to systematically characterise the time-resolved proteomic response to glucose ingestion in humans, and to assess its robustness following prolonged complete caloric restriction. METHODS: We conducted oral glucose tolerance tests (OGTTs) in 11 healthy volunteers before and after 7 days of complete caloric restriction and measured the response of >2900 targets through high-resolution plasma protein profiling. RESULTS: We identified a signature of 44 proteins that changed significantly following glucose ingestion, which was reproducible after 7 days without food, and was strongly (20-fold) enriched for 'stomach-specific' proteins. We report that annexin A10 (ANXA10) shows the most significant post-glucose change observed, similar to the trajectories of secreted hormones. We present observational human evidence from multiple sources suggesting that ANXA10 is secreted upon sensing an increase in gastric pH, with the stomach as the major contributing tissue. Despite a profound metabolic shift after 7 days of complete caloric restriction, characterised by delayed insulin secretion and postprandial hyperglycaemia, only four proteins showed robust evidence for a differential trajectory during both OGTTs. This included plasma levels of tryptophanyl-tRNA synthetase 1 (WARS), for which we found a genetic association with glucose homeostasis and coronary artery disease. CONCLUSIONS/INTERPRETATION: Our exploratory study identifies the proteomic response to glucose ingestion and demonstrates its reproducibility despite major shifts in glucose homeostasis. We characterise the gastrointestinal origin of these changes, and hypothesise a hitherto under-recognised role for sensing of changes in gastric pH on the plasma proteome.

Humans↗

PubMed2026

Orange juice and hesperidin increase flavanone exposure without detectable short-term vascular benefits: a randomized crossover trial.

Orange juice is a major dietary source of hesperidin, a citrus flavanone with vascular protective effects in experimental models. However, whether nutritionally realistic intake levels induce measurable benefits in humans remains unclear. We investigated the effects of orange juice and hesperidin supplementation, at realistic dietary doses, on vascular function, flavanone bioavailability, and molecular responses. Thirty-seven centrally overweight men completed a randomized, double-blind, controlled, three-period crossover trial with three 6-week interventions separated by washout periods. Participants consumed daily 330 mL of 100% orange juice (OJ), an isoenergetic control beverage (CON), or a hesperidin-enriched control beverage (HESP, 210 mg day-1). Fasting vascular, metabolic and anthropometric parameters were assessed before and after each intervention, with flow-mediated dilation (FMD) as the primary endpoint. Postprandial FMD, circulating flavanone metabolites and oxylipin profiles were evaluated following a standardized high-fat meal challenge, and flavanone bioavailability was assessed by 24 h urinary excretion. Whole-blood transcriptomics were performed in a subset (n = 9). Plasma exposure to phase II hesperetin metabolites (AUC0-6 h) and 24 h urinary excretion were comparable after OJ and HESP, indicating effective hesperidin delivery and limited matrix effects on bioavailability. Neither intervention significantly affected fasting or postprandial FMD, vascular, metabolic or anthropometric parameters, or oxylipin profiles versus CON. Marked interindividual variability was observed in vascular responses and flavanone bioavailability, although treatment effects were unrelated to baseline endothelial function or flavanone exposure. Exploratory transcriptomic analyses suggested modulation of pathways involved in vascular biology following OJ and HESP. Under nutritionally realistic conditions, orange juice and hesperidin induced measurable biological engagement without detectable short-term vascular benefits, highlighting the complexity of linking flavanone exposure to functional vascular outcomes in humans.

Humans↗

PubMed2026

Effects of Moderate-Frequency Resistance Training on Cardiometabolic Risk Factors in Adults With Overweight or Obesity: A Systematic Review and Meta-Analysis.

BACKGROUND: Resistance training (RT) effectively manages cardiometabolic risk factors in adults, but the specific effects of moderate-frequency RT (2-3 sessions/week) in adults with overweight or obesity are understudied. OBJECTIVE: This study aimed to evaluate moderate-frequency RT's effects on cardiometabolic risk factors in this population and quantify effect sizes. DATA SOURCES: PubMed, Web of Science, EMBASE, and Cochrane Library searched up to July 2025. ELIGIBILITY: English randomized controlled trials (RCTs) comparing RT (≥ 7 weeks) to nonexercise control; nonathletic adults ≥ 18 years with BMI ≥ 25 kg/m2. PARTICIPANTS: 454 participants across 12 RCTs (mean age 58.93 ± 12.87 years; mean BMI 31.2 ± 3.5 kg/m2; ~50% female). RESULTS: RT significantly reduced diastolic blood pressure (MD = -1.53 mmHg; 95% CI: -2.16 to -0.91; p < 0.01), LDL-C (MD = -0.25 mmol/L; 95% CI: -0.41 to -0.08; p < 0.01), and triglycerides (MD = -0.17 mmol/L; 95% CI: -0.30 to -0.04; p = 0.01). No significant effects on systolic blood pressure, mean arterial pressure, waist circumference, glycemic markers, total cholesterol, or HDL-C. Subgroup analyses showed larger LDL-C/triglyceride improvements with concurrent dietary control. CONCLUSION: Moderate-frequency RT inconsistently improves cardiometabolic risk factors, benefiting diastolic blood pressure, LDL-C, and triglycerides but not glycemic or other parameters. Combining with dietary control may enhance benefits, supporting RT as a complementary strategy in multimodal lifestyle interventions. TRIAL REGISTRATION PROSPERO: CRD42022343167.

Humans↗

PubMed2026

A GRADE-assessed systematic review and meta-analysis of randomized controlled trials evaluating the effects of olive leaf or olive pomace supplementation on cardiometabolic and anthropometric health markers.

AIMS: Cardiometabolic diseases (CMDs) are major contributors to global morbidity and mortality, and dietary bioactives such as polyphenols may modulate key risk factors. Olive by-products, particularly olive leaves (OL) and olive pomace (OP), are rich in phenolic compounds with antioxidant, anti-inflammatory, and cardiometabolic effects demonstrated across in vitro, preclinical, and clinical studies. DATA SYNTHESIS: This GRADE-assessed systematic review and meta-analysis included 30 randomized controlled trials (n = 1726) evaluating OL or OP supplementation on 21 standardized biomarkers, encompassing inflammatory markers, lipid profile, glycemic control, insulin sensitivity, anthropometric measures, and blood pressure. Meta-analyses were conducted using random-effects models, with effect sizes calculated as mean differences (or standardized mean differences for oxLDL). Between-study heterogeneity was assessed with I2 statistics, and sensitivity and subgroup analyses explored potential sources of variability. Publication bias was evaluated using Begg's test and funnel plots where appropriate. OL supplementation significantly improved lipid parameters (total cholesterol, triglycerides, LDL-C, ApoB, oxLDL) and increased ApoA1, while reducing TNF-α, systolic and diastolic blood pressure, body weight, and BMI. No significant effects were observed on glycemic markers. OP supplementation showed no consistent cardiometabolic benefits and was associated with an increase in IL-8. Certainty of evidence ranged from very low to high, with several outcomes downgraded due to imprecision, heterogeneity, or limited study numbers. CONCLUSION: These findings support the targeted use of OL as an adjunctive strategy for cardiometabolic risk management. Evidence for OP supplementation remains limited, underscoring the need for well-powered, high-quality RCTs to clarify its clinical effects.

Humans↗