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STAT6 (signal transducer and activator of transcription 6) is a transcription factor that plays a central role in the pathophysiology of allergic inflammation. We have identified 16 patients from 10 families spanning three continents with a profound phenotype of early-life onset allergic immune dysregulation, widespread treatment-resistant atopic dermatitis, hypereosinophilia with esosinophilic gastrointestinal disease, asthma, elevated serum IgE, IgE-mediated food allergies, and anaphylaxis. The cases were either sporadic (seven kindreds) or followed an autosomal dominant inheritance pattern (three kindreds). All patients carried monoallelic rare variants in STAT6 and functional studies established their gain-of-function (GOF) phenotype with sustained STAT6 phosphorylation, increased STAT6 target gene expression, and TH2 skewing. Precision treatment with the anti-IL-4Rα antibody, dupilumab, was highly effective improving both clinical manifestations and immunological biomarkers. This study identifies heterozygous GOF variants in STAT6 as a novel autosomal dominant allergic disorder. We anticipate that our discovery of multiple kindreds with germline STAT6 GOF variants will facilitate the recognition of more affected individuals and the full definition of this new primary atopic disorder.

The detection of evolutionary transitions in influenza A (H3N2) viruses' antigenicity is a major obstacle to effective vaccine design and development. In this study, we describe Novel Influenza Virus A Detector (NIAViD), an unsupervised machine learning tool, adept at identifying these transitions, using the HA1 sequence and associated physico-chemical properties. NIAViD performed with 88.9% (95% CI, 56.5–98.0%) and 72.7% (95% CI, 43.4–90.3%) sensitivity in training and validation, respectively, outperforming the uncalibrated null model—33.3% (95% CI, 12.1–64.6%) and does not require potentially biased, time-consuming and costly laboratory assays. The pivotal role of the Boman's index, indicative of the virus's cell surface binding potential, is underscored, enhancing the precision of detecting antigenic transitions. NIAViD's efficacy is not only in identifying influenza isolates that belong to novel antigenic clusters, but also in pinpointing potential sites driving significant antigenic changes, without the reliance on explicit modelling of haemagglutinin inhibition titres. We believe this approach holds promise to augment existing surveillance networks, offering timely insights for the development of updated, effective influenza vaccines. Consequently, NIAViD, in conjunction with other resources, could be used to support surveillance efforts and inform the development of updated influenza vaccines. [ABSTRACT FROM AUTHOR]

Background: Recent evidence shows the role of sirtuin 1(SIRT1), a family of evolutionarily conserved proteins, as a potential therapeutic target in the prevention and treatment of obesity and metabolic diseases. Some evidence shows the moderating effects of weight loss interventions on this factor. However, the findings are contradictory. In order to obtain a better viewpoint from them, this study aimed to comprehensively investigate the effects of weight loss interventions on SIRT 1 modulation. Methods: For this study, we searched four electronic databases using predefined keywords from inception until March 2024. We includedrandomized controlled trials that evaluated the effect of weight reduction strategies on SIRT1 levels. The random-effects model analysis was used to obtain the pooled weighted mean difference (WMD) and 95% confidence intervals (95% CI). The meta-analysis was conducted using RevMan version 5.3 software and Stata version 12.0. Results: Twelve studies with 627 volunteers were included. The pooled findings showed that weight loss interventions have no significant effect on the modulation of SIRT1 compared to the control group (pooled WMD of 0.58 ng/mL; 95% confidence interval [CI] -0.17 to 1.33; p = 0.130). However, subgroup analysis showed that weight loss interventions significantly modulate SIRT1 at metabolic disease (WMD: 1.2 ng/mL, 95% CI: 0.11 to 2.62, I2 = 82.9%). In addition, subgroup findings indicated health status and body mass index (BMI) as sources of high and potential heterogeneity. Conclusions: Based on the findings, weight loss therapies in individuals having a metabolic disorder appear to generate a considerable increase in SIRT1 levels. [ABSTRACT FROM AUTHOR]

Patients with very early-onset inflammatory bowel disease (VEO-IBD) may present because of underlying monogenic inborn errors of immunity (IEI). Strong differences have been observed in the causes of monogenic IBD among ethnic populations. This multicenter study was carried out on 16 Iranian patients with VEO-IBD. We reviewed clinical and basic immunologic evaluation including flow cytometry and immunoglobulin levels. All patients underwent clinical whole exome sequencing (WES). Sixteen patients (8 females and 8 males) with a median age of 43.5 months were enrolled. The median age at the onset of symptoms was 4 months. Most patients (12, 75%) had consanguineous parents. Chronic non-bloody diarrhea (13, 81.3%) and perianal diseases including perianal abscess (6, 37.5%), anal fissure (6, 37.5%), or anal fistula (2, 12.5%) were the most common manifestations. WES identified a spectrum of genetic variants in 13 patients (81.3%): IL10RB (6, 37.5%), MVK (3, 18.8%), and CASP8, SLC35C1, G6PC3, and IKBKB in 1 patient, respectively. In 3 patients (18.7%), no variant was identified. Flow cytometry identified a spectrum of abnormalities that helped to assess the evidence of genetic diagnosis. At the end of the survey, 3 (18.8%) patients were deceased. This high rate of monogenic defects with a broad spectrum of genes reiterates the importance of investigating IEI in patients with infantile-onset IBD. Patients with very early-onset inflammatory bowel disease (VEO-IBD) may present because of underlying monogenic inborn errors of immunity (IEI). Strong differences have been observed in the causes of monogenic IBD among ethnic populations. The high rate of monogenic defects with a broad spectrum of genes reiterates the importance of investigating IEI in patients with infantile-onset IBD. Graphical Abstract [ABSTRACT FROM AUTHOR]

Background: Considering the conflicting effects of bupropion on parameters related to metabolic syndrome including glucose metabolism and lipid profile, in this meta‐analysis study, we investigated the effects of this drug alone or in combination with naltrexone on glucose metabolism and lipid profile. Methods: Scopus, PubMed/Medline, Web of Science and Embase databases were searched using standard keywords to identify all controlled trials investigating effects of bupropion alone and combined with naltrexone on the glucose and lipid profile. Pooled weighted mean difference and 95% confidence intervals were achieved by random‐effects model. Results: Twelve studies with 5152 participants' were included in this article. The pooled findings showed that bupropion alone or in combination with naltrexone would significantly reduce glucose (weighted mean difference (WMD): −2.25 mg/dL, 95% confidence interval (CI): −4.10, −0.40), insulin (WMD: −4.06 μU/mL, 95% CI: −6.09, −2.03), homeostatic model assessment for insulin resistance (HOMA‐IR) (WMD: −0.58, 95% CI: −0.98, −0.19), triglyceride (TG) (WMD: −11.78 mg/dL, 95% CI: −14.48 to −9.08) and increase high‐density lipoprotein (HDL) (WMD: 2.68 mg/dL, 95% CI: 2.13 to 3.24). A Greater reduction in glucose levels was observed with duration >26 weeks. Dose of bupropion intake ≤360 mg and intervention for more than 26 weeks decreased insulin level significantly. With regard to lipid profile, reduction of triglycerides is more significant with dose of bupropion greater than 360 mg and a shorter intervention length equal to 26 weeks. Conclusions: The addition of combination therapies such as bupropion and naltrexone to lifestyle modification can significantly improve glucose metabolism and some lipid parameters. [ABSTRACT FROM AUTHOR]

Fisheries and aquaculture provide food and economic security, especially in the developing world, but both face challenges from infectious disease. Here, we consider management of disease issues from a structured decision‐making perspective to examine how infectious disease can threaten seafood production and influence management decisions. For both wild fisheries and aquaculture, disease‐management objectives generally aim to mitigate the severity and economic burden of outbreaks. General management strategies include manipulating host densities, reducing system connectivity, conserving or improving habitat, and implementing direct treatments or some other biological interventions. To inform decisions, mathematical models can be used to explore disease dynamics and to forecast the potential effectiveness of alternative management actions. Developing and implementing disease‐management strategies also involve considering uncertainties and balancing competing stakeholder interests and risk tolerances. We conclude by outlining several steps for applying structured decision making that are broadly useful to decision makers facing issues related to disease. [ABSTRACT FROM AUTHOR]