CD11b
- Known as:
- CD11b
- Catalog number:
- 11-211-C100
- Product Quantity:
- 0.1 mg
- Category:
- -
- Supplier:
- Exbio
- Gene target:
- CD11b
Related genes to: CD11b
- Gene:
- ITGAM NIH gene
- Name:
- integrin subunit alpha M
- Previous symbol:
- CR3A, CD11B
- Synonyms:
- MAC-1, CD11b
- Chromosome:
- 16p11.2
- Locus Type:
- gene with protein product
- Date approved:
- 1988-08-05
- Date modifiied:
- 2019-04-23
Related products to: CD11b
Related articles to: CD11b
- Volatile anesthetics, particularly sevoflurane, have demonstrated cardioprotective properties during cardiac surgery. However, their immunomodulatory mechanisms at the molecular level remain unclear. Given the close relationship between cardiac injury and immune responses, understanding how anesthetic agents influence immune-related pathways may provide new insights into perioperative myocardial protection. This study aimed to explore the immunological and molecular mechanisms underlying the effects of sevoflurane anesthesia on cardiomyocytes in patients undergoing coronary artery bypass grafting (CABG). Gene expression data (GSE4386) from myocardial tissues of CABG patients anesthetized with sevoflurane or propofol were analyzed. Differentially expressed genes (DEGs) were identified using R software, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Protein-protein interaction networks were constructed to identify key immune-associated hub genes. A total of 211 DEGs were identified. Functional enrichment revealed that these genes were predominantly associated with immune and inflammatory processes, including leukocyte activation, cytokine-cytokine receptor interaction, neutrophil extracellular trap formation, and chemokine signaling pathways. Hub genes such as ITGAM, PTPRC, TYROBP, TLR2, and TLR4 were identified as central immune regulators potentially mediating the cardioprotective and immunomodulatory effects of sevoflurane. Sevoflurane anesthesia may confer myocardial protection after CABG by modulating immune-related signaling pathways and inflammatory gene expression. These findings highlight the immunoregulatory potential of volatile anesthetics, providing novel perspectives for immune-targeted strategies in perioperative cardiac management. - Source: PubMed
Publication date: 2026/06/03
Liu WeimingLiu Mengyuan - Blood-based biomarkers are increasingly recognized as promising tools for the diagnosis and monitoring of neurodegenerative diseases, offering a minimally invasive alternative to cerebrospinal fluid (CSF) testing. We evaluated the analytical performance and clinical utility of the Olink Target 48 Neurodegeneration panel, a novel multiplex proteomic platform based on the proximity extension assay (PEA) technology, in a large, clinically diverse dementia cohort. - Source: PubMed
Publication date: 2026/07/11
Bentivenga Giuseppe MarioMammana AngelaBaiardi SimoneVittoriosi EricaMastrangelo AndreaRuggeri EdoardoVargiu Claudia MarinaPolischi BarbaraStanzani-Maserati MichelangeloRizzo GiovanniPantieri RobertaRaggi AlbertoCapellari SabinaParchi Piero - The substantial biological heterogeneity of thyroid cancer, particularly within follicular-patterned lesions, underscores the need for improved molecular tools for risk stratification. Genetic variability in the pathways regulating cell adhesion, immune interactions, and extracellular matrix remodeling may influence tumor behavior and the complexity of diagnosis. In this study, we conducted integrated and genetic analyses to evaluate the role of polymorphisms in genes encoding immunoglobulin superfamily adhesion molecules, integrins, junctional proteins, matrix metalloproteinases, and extracellular matrix-associated proteins. Using multiple bioinformatics platforms, we screened 407,812 polymorphisms across 22 candidate genes and prioritized 133 variants with high predicted functional impact. Eight selected single-nucleotide polymorphisms were genotyped in a cohort of 648 individuals, including patients with benign thyroid nodules (n = 152), malignant thyroid nodules (n = 171), and healthy controls (n = 325). Clinical validation revealed that rs3745925 significantly distinguished follicular adenoma from controls (p = 0.017, OR: 3.15; 95% CI: 1.63-6.05), goiter (p = 0.019, OR: 3.18; 95% CI: 1.49-6.85), and papillary thyroid carcinoma (p = 0.009, OR: 3.49; 95% CI: 1.73-7.09). This association remained robust after Bonferroni correction, underscoring its potential as a priority candidate. Additionally, rs1143683, rs2230433, and rs5498 were associated with tumor multifocality (p = 0.0428, p = 0.0008, and p < 0.0001, respectively). These findings demonstrate the feasibility of integrating bioinformatics-driven variant prioritization with clinical validation methods. Among the evaluated polymorphisms, rs3745925 emerged as a promising auxiliary biomarker warranting further evaluation for the characterization of follicular-patterned thyroid lesions. - Source: PubMed
Publication date: 2026/06/23
Rabi Larissa TeodoroPeres Karina ColomberaTeixeira Elisangela De SouzaTincani Alfio JoséBufalo Natassia ElenaWard Laura Sterian - Orthodontic tooth movement (OTM) is a dynamic biological process driven by mechanically induced tissue remodeling. The transcriptional regulators, particularly the noncoding RNAs in human tissues remains limited. This study employs RNA sequencing and bioinformatics to analyze the transcriptomic profile at day 7 of OTM, and to identify potential regulatory factors associated with mechanical stimulus. - Source: PubMed
Tu ShaoqinWang YuxuanFeng YiWan ChuimingLiu YuyaoShao YitingAi HongChen Zheng - Environmental pollutant mixtures are potential risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD), yet their joint effects in complex co-exposure scenarios and toxicological mechanisms remain incompletely elucidated. This cross-sectional study quantified 54 urinary environmental pollutants via mass spectrometry among 1036 participants from the Yinchuan elderly cohort. Logistic regression and mixed-exposure models evaluated epidemiological associations and joint effects. Biological knowledge-driven machine learning algorithms extracted mechanistic features. Bayesian weighted quantile sum regression showed that neonicotinoid and metal(loid) mixtures were significantly associated with elevated MASLD odds (OR = 1.73 (1.37, 2.20) and OR = 1.51 (1.22, 1.84), respectively, per quartile increase), with acetamiprid and zinc as the leading contributors. Interaction analysis identified significant synergistic effects between thiamethoxam and lead, and between nitenpyram and selenium. Machine learning models incorporating biological knowledge-graph features retained ITGAM (integrin alpha-M, CD11b) and LIF (leukemia inhibitory factor) as key target proteins and GO:0006558 and GO:0032125 as core pathways related to inflammatory signaling, DNA damage, and apoptosis. An adverse outcome pathway framework was constructed for six pollutants that were significantly positively associated with MASLD in logistic regression and retained by machine learning models (thallium, 3-hydroxycarbofuran, acetamiprid, zinc, dinotefuran, and thiamethoxam), linking estrogen receptor agonism and NR1I3 (constitutive androstane receptor, CAR) suppression to downstream DNA damage, oxidative stress, and apoptosis as key mechanistic routes. This study provides an integrative approach connecting population-level mixture exposures with mechanistic hypotheses, offering a scientific basis for the health risk assessment of environmental chemicals. SYNOPSIS: Epidemiological models combined with biological knowledge-driven machine learning identified key pollutant-protein-pathway associations, and an adverse outcome pathway framework was constructed to link these findings to mechanistic hypotheses. - Source: PubMed
Publication date: 2026/07/01
Fu JiamingQiao GuojieMa KerongJia JinhaoLi HonghuiBai ZeyangXiong LimengZhang YuhanGeng XiaozheDuan HongjuWang YuxiGao ChunqingLi XiaoyuZhao YiHu HaoWang GuangjunZhang RuiDi YihongYang HuifangSun Jian