Search Results (178)

Introduction: Semaglutide (SEMA) has shown potential benefits in metabolic dysfunction-associated steatotic liver disease (MASLD). This large real-world study aimed to evaluate the effects of SEMA on MASLD patients’ clinical outcomes and liver-related complications. Results: Following propensity score matching based on 34 variables (demographics, comorbidities, laboratory tests, and medication history), SEMA-treated (n = 19,112) patients were compared with non-SEMA (n = 19,112) cases. Both cohorts were well-balanced, except for higher BMI in the SEMA group (36.60 ± 6.25 vs. 34.89 ± 6.84 kg/m²). After one year, the SEMA group demonstrated ~one BMI point reduction but maintained significantly higher BMI (35.51 ± 6.34 vs. 34.11 ± 6.64, p < 0.001). LDL, triglycerides, and HbA1c levels significantly improved with SEMA, as evidenced by decreased rates of poor metabolic markers (31.13% vs. 34.32%, p < 0.001). The SEMA-treated patients demonstrated significantly higher survival, lower cardiovascular risk, and reduced progression to advanced liver disease compared to controls. Discussion: In this large real-world cohort, SEMA use in MASLD patients was associated with significantly improved 1-year survival, cardiovascular, and liver-related outcomes. These benefits appear to result primarily from metabolic improvements and anti-inflammatory effects. Materials and Methods: Data were sourced from TriNetX, a global health research platform with de-identified electronic medical records spanning 135 million patients across 112 healthcare organizations worldwide. We included MASLD adults diagnosed according to ICD9 criteria. Assessed outcomes included survival, biochemical, hematologic, AFP, metabolic and cardiovascular parameters, advanced liver disease (ALD), synthetic function, and metabolic markers. Conclusions: Semaglutide may serve as an effective therapeutic strategy to improve outcomes in MASLD. Full article

B-lineage acute lymphoblastic leukemia (B-ALL) is classified into more than 20 molecular subtypes, and next-generation sequencing has facilitated the identification of these with high sensitivity. Bulk RNA-seq analysis of bone marrow was realized to identify molecular subtypes in Mexican pediatric patients with B-ALL. High hyperdiploidy (27.3%) was the most frequent molecular subtype, followed by DUX4 (13.6%), TCF3::PBX1 (9.1%), ETV6::RUNX1 (9.1%), Ph-like (9.1%), ETV6::RUNX1-like (9.1%), PAX5alt (4.5%), Ph (4.5%), KMT2A (4.5%), and ZNF384 (4.5%), with one patient presenting both the PAX5alt and low hypodiploidy subtypes (4.5%). The genes TYK2, SEMA6A, FLT3, NRAS, SETD2, JAK2, NT5C2, RAG1, and SPATS2L harbor deleterious missense variants across different B-ALL molecular subtypes. The Ph-like subtype exhibited mutations in STAT2, ADGRF1, TCF3, BCR, JAK2, and NRAS with overexpression of the CRLF2 gene. The DUX4 subtype showed mutually exclusive missense variants in the PDGRFA gene. Here, we have demonstrated the importance of using RNA-seq to facilitate the differential diagnosis of B-ALL with successful detection of gene fusions and mutations. This will aid both patient risk stratification and precision medicine. Full article

Background: Sex differences in type 2 diabetes (T2D) are a growing area of diabetes research. No data have been reported on sex differences with oral semaglutide (oSEMA) in a real-world setting. Methods: We included people with T2D who started treatment with oSEMA in routine clinical practice between November 2021 and November 2022, with at least one report of clinical follow-up (FU) data at 3 months. We evaluated in women with T2D (WWT2D) the clinical effectiveness of oSEMA and factors associated with clinical response and persistence. We also analyzed differences in baseline characteristics, clinical effectiveness, persistence rates and safety according to biological sex. Results: Of the 1018 subjects [median age: 63 years, body mass index (BMI): 33.8 kg/m², HbA1c: 7.8%], 469 were WWT2D. In WWT2D, oSEMA reduced HbA1c by 0.7% [−0.1 to −1.3] and 0.9% [−0.2 to −1.5] at the 6- and 12-month FU visits, while weight decreased by 4.6% [2.0 to 7.9] and 7.2% [2.5 to 10.9], respectively. Weight loss was >10% in 29.8% of WWT2D (95% CI 25.8 to 34.1); meanwhile, the combined endpoint (HbA1c decrease ≥ 1% + weight reduction ≥ 5%) was achieved in 23.5% (95% CI 19.8 to 27.5%) of WWT2D at the 12-month FU visit. Achievement of glycaemic targets was similar in women and men (59.3% vs. 61.1%). We found no sex differences in weight loss (6.9% vs. 6.8%), oSEMA maintenance dose, persistence rate (76.3% vs. 77.3%), or adverse events. Conclusions: oSEMA was effective and safe in WWT2D in a real-world setting, with nearly one-third of patients reporting weight loss >10% and more than two-thirds achieving HbA1c < 7%. oSEMA showed no sex bias in terms of effectiveness and safety. Full article

Background: Adrenocortical carcinoma (ACC) is a rare and aggressive endocrine malignancy with a high mortality and poor prognosis. To elucidate the genetic underpinnings of ACCs, we have analyzed the transcriptome profiles of ACC tumor samples from patients enrolled in the TCGA and NCI cohorts. Methods: We developed a bimodal approach using Gaussian Mixture Models to identify genes with bimodal distribution in ACC samples. Among the 72 bimodally expressed genes that are used to stratify patients into prognostic groups, we focused on SEMA7A, as it encodes a glycosylphosphatidylinositol-anchored membrane glycoprotein (Semaphorin 7a) regulating integrin-mediated signaling, cell migration and immune responses. Results: Our findings reveal that high expression levels of SEMA7A gene are associated with poor prognosis (hazard ratio = 4.27; p-value < 0.001). In hormone-producing ACCs, SEMA7A expression is elevated and positively correlated with genes driving steroidogenesis, aldosterone and cortisol synthesis, including CYP17A1, CYP11A1, INHA, DLK1, NR5A1 and MC2R. Correlation analyses show that SEMA7A is co-expressed with the integrin-β1, FAK (focal adhesion kinase) and MAPK/ERK (mitogen-activated protein kinase/extracellular signal regulated kinases) signaling pathways. Immunohistochemistry (IHC) staining demonstrates the feasibility of evaluating SEMA7A in ACC tissues and shows a significant correlation between gene expression (RNA-Seq) and protein expression (IHC). Conclusions: These findings suggest SEMA7A as a candidate for further research in ACC biology and a candidate for cancer therapy, as well as a potential prognosis biomarker for ACC patients. Full article

Myostatin (MSTN) is a critical regulator of muscle development. This study aimed to investigate the transcriptional and epigenetic mechanisms by which MSTN gene editing affects skeletal, cardiac, and smooth muscle function in cattle. The results showed that the MSTN gene-edited (MT) cattle skeletal muscle exhibited significantly larger myofiber cross-sectional areas (p = 0.049), accompanied by reduced shear force (p = 0.044), cooking loss rate (p = 0.0029), and pH (p = 0.014). Transcriptomic and whole-genome bisulfite sequencing (WGBS) revealed distinct expression and methylation patterns across muscle types. Notably, axon guidance signaling was identified as a shared enriched pathway in both transcriptional and CG/CHG/CHH methylation profiles of the gluteus. Further, 102 differentially expressed genes (DEGs) were commonly identified across all three muscle types; their KEGG enrichment included immune-related and cellular interaction pathways (e.g., antigen processing and presentation, and cell adhesion molecules), many of which intersect with axon guidance functions. Core regulators such as SEMA3A, PLXNA1, and NTN1 were epigenetically modulated in MT gluteus and heart. These findings suggest that MSTN knockout remodels neuromuscular signaling through muscle-type-specific transcriptional and epigenetic reprogramming. Full article

Small object detection remains a challenge in the remote sensing field due to feature loss during downsampling and interference from complex backgrounds. A novel network, termed SEMA-YOLO, is proposed in this paper as an enhanced YOLOv11-based framework incorporating three technical advancements. By fundamentally reducing information loss and incorporating a cross-scale feature fusion mechanism, the proposed framework significantly enhances small object detection performance. First, the Shallow Layer Enhancement (SLE) strategy reduces backbone depth and introduces small-object detection heads, thereby increasing feature map size and improving small object detection performance. Then, the Global Context Pooling-enhanced Adaptively Spatial Feature Fusion (GCP-ASFF) architecture is designed to optimize cross-scale feature interaction across four detection heads. Finally, the RFA-C3k2 module, which integrates Receptive Field Adaptation (RFA) with the C3k2 structure, is introduced to achieve more refined feature extraction. SEMA-YOLO demonstrates significant advantages in complex urban environments and dense target areas, while its generalization capability meets the detection requirements across diverse scenarios. The experimental results show that SEMA-YOLO achieves mAP₅₀ scores of 72.5% on the RS-STOD dataset and 61.5% on the AI-TOD dataset, surpassing state-of-the-art models. Full article

Background: Tumour-associated neutrophils play an important role in tumour progression and immunomodulation. However, the prognostic significance and immunological implications of neutrophil-associated genes (NAGS) in cervical cancer remain poorly defined. Methods: We analyzed neutrophil infiltration and its correlation with gene expression in TCGA cervical cancer data using immune deconvolution. NAGS were identified via correlation and enrichment analysis. A prognostic model was constructed using Cox and LASSO regression and validated in the GSE30759 cohort. Kaplan–Meier analysis, ROC curves, and multivariate Cox regression were used to assess prognostic performance. The model’s association with the tumor immune microenvironment and immunotherapy response was further analyzed. The expression pattern of SEMA6B was explored using cell lines, clinical subgroups, and human protein profiles, and its immunological relevance was evaluated using multiple immune infiltration algorithms. Results: Twelve genes were identified as significantly correlated with neutrophil infiltration and enriched in immune-related pathways such as chemotaxis, neutrophil degranulation, and PI3K-AKT signaling. Further NAGS models were developed based on key genes. High-risk patients exhibited an immunosuppressive tumor microenvironment, elevated TIDE scores, and lower predicted responsiveness to immunotherapy. SEMA6B was significantly downregulated in the tumour group but may be reactivated during metastasis. High expression of SEMA6B was associated with poorer prognostic features and immune evasion. Conclusions: We developed a NAGS signature that may inform prognosis and immune microenvironment status in cervical cancer. These findings suggest the potential clinical utility of NAGs-based models in guiding immunotherapy strategies. Moreover, SEMA6B may serve as a promising immunological and prognostic biomarker, pending further mechanistic validation. Full article

The evaluation of external pelvimetry measurements and the genetic factors influencing them is essential for improving morphological characteristics and reproductive performance in cattle. This study represents the first comprehensive analysis of the association between single nucleotide polymorphisms (SNPs) and external pelvimetry traits in Romanian Simmental cattle, a breed recognized for its distinctive pelvic morphology. The relationship between single-nucleotide polymorphisms (SNPs) and external pelvimetry traits—including croup height (CH), buttock height (BH), croup width (CW), rump angle (RA), and croup length (CL)—was examined in Simmental cows. From an initial set of 110 SNPs, 33 markers were retained after applying quality control filters, including a minor allele frequency (MAF) greater than 0.05 and Hardy–Weinberg equilibrium. These SNPs, located on multiple chromosomes, were identified within intronic, exonic, or regulatory regions of relevant genes such as CLSTN2, DPYD, FBXL7, FBXL13, SEMA6A, RUNX2, FSTL4, DST, DCBLD2, FRMD6, CAV2.3, ABL2, SH3BP4, RSBN1L,and SAMD12, suggesting that these genetic variants may influence the development and morphology of the pelvic bones. Statistical analysis revealed significant relationships between certain allele variants and croup measurements, highlighting that the presence of alternative alleles can modify their morphological traits. Notably, the G allele in CLSTN2 reduced croup height by 5.74 cm (p = 0.0227), while the T allele in RUNX2 decreased rump angle by 4.49° (p = 0.0119). Full article

Vascular calcification is a critical pathological hallmark of cardiovascular diseases. Although previous studies have indicated that M1 macrophages significantly promote calcification, the exact underlying mechanisms remain unclear. This study examined whether semaphorin 4D (Sema4D), a class IV semaphorin involved in atherosclerosis development, is secreted by M1 macrophages and contributes to the calcification of vascular smooth muscle cells (VSMCs). We observed elevated expression and secretion of Sema4D in both M1 and M2 macrophages, with significantly higher levels in M1-polarized cells. M1 macrophages promoted VSMC calcification in both co-culture and conditioned medium systems, as evidenced by increased alkaline phosphatase activity, enhanced calcium deposition, and upregulation of osteogenic markers. Notably, neutralization of Sema4D in M1 conditioned medium using pepinemab, an anti-Sema4D antibody, effectively attenuated VSMC calcification induced by M1 macrophages. Conversely, supplementation of conditioned medium with recombinant Sema4D enhanced calcification and osteogenic signaling in VSMCs, further supporting the pro-calcifying role of Sema4D. Collectively, these findings highlight macrophage-derived Sema4D as a pivotal regulator of vascular calcification and a promising therapeutic target. Full article

Background: We investigated the possibility of predicting tumor burden with salivary extracellular RNA (exRNA) biomarkers in gastric cancer patients. Methods: Saliva samples were prospectively collected from 50 gastric cancer patients who underwent gastrectomy with curative intent. Approximately 5 mL of saliva was collected before surgery and on the 5th to 7th days after surgery. The expression of three mRNAs (SPINK7, PPL, and SEMA4B) and two miRNAs (miR140-5p and miR301a) that were previously validated was determined by reverse transcription quantitative real-time PCR. Results: There were significant differences in the pre-operative expression of PPL (p = 0.025), SEMA4B (p = 0.012), and miR140-5p (p = 0.036) between pathologic stage I/II and III/IV groups. The area under the curve (AUC) of each respective multivariable model in predicting stage III/IV, which was adjusted for age and sex, was 75.4% (PPL), 82.5% (SEMA4B), and 75.5% (miR140-5p). In the multivariable model, including all three biomarkers, the AUC was 89.2%. On the other hand, none of the conventional tumor markers (CEA, CA19-9, and CA72-4) could predict tumor burden before surgery. The AUC of the multivariable model, including CEA, CA19-9, and CA72-4, was 67.2%, 66.2%, and 67.4%, respectively. When all three tumor markers were included in the multivariable model, the AUC was 70.5%. Conclusions: Noninvasively detected salivary biomarkers have been shown to have higher diagnostic accuracy than conventional tumor markers detected by invasive blood tests for estimating pre-operative tumor burden. This study demonstrates the potential utility of these biomarkers in pre-operative risk assessment and monitoring surgical treatment response to gastric cancer. Full article

Background: Single-minded homolog 1 (SIM1) gene mutations with autosomal dominant inheritance have been related to hyperphagia and early-onset severe obesity. SIM1 is implicated in the development of hypothalamic nuclei, which play a crucial role in energy homeostasis. The development of melanocortin neural circuits in the hypothalamus is promoted by other factors such as Semaphorine 3 (SEMA3) and its receptors, such as PLXNA1-4 and NRP1-2. Loss-of-function across multiple SEMA3/NRP/PLXNA genes can collectively contribute to obesity onset. Case Description: A 3-year-old male was referred for the first time to Outpatient pediatric endocrinology due to early-onset and progressive severe obesity and hyperphagia. He presented neurobehavior disorders and partial diabetes insipidus. At age 6, the child was diagnosed with obesity-related complications, including hyperinsulinemia, impaired glucose tolerance, hypercholesterolemia, hepatic steatosis, and hypovitaminosis. The NGS analysis revealed four variants related to obesity: SIM1, SEMA3C, PLXNA4, and CREBBP gene mutations. Conclusions: The case presents the association of SIM-1 gene mutation with other obesity-related variants. The interactive and cumulative effects of the identified variants could coexist in the determination of severe obesity through abnormalities in the development and function of hypothalamic melanocortin circuits related to energy homeostasis. Although the pathogenic mutation of the SIM1 gene plays the main role, the complex clinical picture may be related to the possible cumulative effect of the other genetic mutations. Full article

Background/Objectives: Finding single nucleotide polymorphisms (SNPs) and candidate genes that influence the expression of key traits is essential for genomic selection and helps improve the efficiency of poultry production. Here, we aimed to conduct a genome-wide association study (GWAS) for egg production traits in an F₂ resource population of chickens (Gallus gallus). Methods: The examined F₂ population was produced by crossing two divergently selected breeds with contrasting phenotypes for egg performance traits, namely Russian White (of higher egg production) and Cornish White (of lower egg production). Sampled birds (n = 142) were genotyped using the Illumina Chicken 60K SNP iSelect BeadChip. Results: In the course of the GWAS analysis, we were able to clarify significant associations with phenotypic traits of interest and economic value by using 47,432 SNPs after the genotype dataset was filtered. At the threshold p < 1.06 × 10⁻⁶, we found 23 prioritized candidate genes (PCGs) associated with egg weight at the age of 42–52 weeks (FGF14, GCK), duration of egg laying (CNTN4), egg laying cycle (SAMD12) and egg laying interval (PHF5A, AKR1B1, CALD1, ATP7B, PIK3R4, PTK2, PRKCE, FAT1, PCM1, CC2D2A, BMS1, SEMA6D, CDH13, SLIT3, ATP10B, ISCU, LRRC75A, LETM2, ANKRD24). Moreover, two SNPs were co-localized within the FGF14 gene. Conclusions: Based on our GWAS findings, the revealed SNPs and candidate genes can be used as genetic markers for egg weight and other performance characteristics in chickens to attain genetic enhancement in production and for further genomic selection. Full article

CD100/SEMA4D, a member of the Semaphorin family, is a transmembrane glycoprotein that regulates neurogenesis, immune modulation, and angiogenesis, with its immunoregulatory roles having attracted considerable attention. It is dynamically expressed on the surface of diverse immune cells—including T cells, B cells, dendritic cells (DCs), and natural killer (NK) cells—with expression levels modulated by cellular activation states. CD100 exists in two functional forms: membrane-bound CD100 (mCD100) and soluble CD100 (sCD100) generated via proteolytic cleavage. Recent studies have highlighted its critical involvement in viral infectious diseases. This review systematically summarizes the molecular characteristics, expression patterns, and regulatory functions of CD100 on different immune cells, and discusses its role in viral infectious diseases and its clinical application potential. Full article

Clinical data as well as animal and cell studies indicate that certain antidiabetic drugs, including glucagon-like peptide 1 receptor agonists (GLP-1RAs), exert therapeutic effects in Alzheimer’s disease (AD) by modulating amyloid-β peptide (Aβ) metabolism. Meanwhile, the direct interactions between GLP-1RAs and Aβ and their functional consequences remain unexplored. In this study, the interactions between monomeric Aβ40/Aβ42 of GLP-1(7-37) and its several analogs (semaglutide (Sema), liraglutide (Lira), exenatide (Exen)) were studied using biolayer interferometry and surface plasmon resonance spectroscopy. The quaternary structure of GLP-1RAs was investigated using dynamic light scattering. The effects of GLP-1RAs on Aβ fibrillation were assessed using the thioflavin T assay and electron microscopy. The impact of GLP-1RAs on Aβ cytotoxicity was evaluated via the MTT assay. Monomeric Aβ40 and Aβ42 directly bind to GLP-1(7-37), Sema, Lira, and Exen, with the highest affinity for Lira (the lowest estimates of equilibrium dissociation constants were 42–60 nM). GLP-1RAs are prone to oligomerization, which may affect their binding to Aβ. GLP-1(7-37) and Exen inhibit Aβ40 fibrillation, whereas Sema promotes it. GLP-1 analogs decrease Aβ cytotoxicity toward SH-SY5Y cells, while GLP-1(7-37) enhances Aβ40 cytotoxicity without affecting the cytotoxic effect of Aβ42. Overall, GLP-1RAs interact with Aβ and differentially modulate its fibrillation and cytotoxicity, suggesting the need for further studies of our observed effects in vivo. Full article

Objective: Lop sheep species exhibit remarkable adaptability to desert pastures and extreme arid climates, demonstrating tolerance to rough feeding and high resistance to stress. However, little is known about the population genetic diversity of Lop sheep and the genetic mechanisms underlying their adaptability to extreme environments. Methods: Blood samples were collected from a total of 110 individuals comprising 80 Ruoqiang Lop sheep and 30 Yuli Lop sheep. A total of 110 Lop sheep were subjected to whole genome resequencing to analyze genetic diversity, population structure, and signatures of selection in both regions. Results: The genetic diversity of the Lop sheep population is substantial, and the degree of inbreeding is low. In comparison to the Lop sheep in Yuli County, the genetic diversity and linkage disequilibrium analysis results for the Lop sheep population in Ruoqiang County are slightly lower. Population structure analysis indicates that Ruoqiang and Yuli Lop sheep have differentiated into two independent groups. Using Yuli Lop sheep as the reference group, an analysis of the extreme environmental adaptability selection signal of Lop sheep was conducted. The FST and π ratio under the 1% threshold identified 1686 and 863 candidate genes, respectively, with their intersection yielding a total of 122 candidate genes. Functional annotation revealed that these genes are associated with various traits, including immune response (SLC12A2, FOXP1, PANX1, DYNLRB2, RAP1B, and SEMA4D), heat and cold resistance (DNAJC13, PLCB1, HIKESHI, and PITPNC1), desert adaptation (F13A1, PANX1, ST6GAL1, STXBP3, ACTN4, and ATP6V1A), and reproductive performance (RAP1B, RAB6A, PLCB1, and METTL15). Conclusions: These research findings provide a theoretical foundation for understanding the survival and reproductive characteristics of Lop sheep in extreme environments, and they hold practical value for the conservation and utilization of Lop sheep genetic resources, as well as for genetic improvement efforts. Full article