FCN2

Last update 08 May 2025

Basic Info

Synonyms

37 kDa elastin-binding protein, Collagen/fibrinogen domain-containing protein 2, EBP-37

+ [10]

Introduction

May function in innate immunity through activation of the lectin complement pathway. Calcium-dependent and GlcNAc-binding lectin. Enhances phagocytosis of S.typhimurium by neutrophils, suggesting an opsonic effect via the collagen region.

100 Clinical Results associated with FCN2

100 Translational Medicine associated with FCN2

0 Patents (Medical) associated with FCN2

386

Literatures (Medical) associated with FCN2

01 Apr 2025·Cytokine

Ficolin A and ficolin B aggravate poly(I:C) secondary LPS stimulation-induced acute lung injury by modulating alveolar and interstitial macrophages

Article

Author: Yao, Duoduo ; Liu, Jianhua ; Zhou, Yu-Jie ; Zhang, Xulong ; Hu, Ziqi ; Wu, Xu ; Kong, Qingli

Respiratory viral infection, represented by influenza virus, is easily followed by bacterial infection, the main cause of death. Clinical studies have shown that even mild influenza virus infection followed by secondary bacterial infection can mediate severe pneumonia and lung injury. In this study, mice were intranasally stimulated by polyinosinic-polycytidylic acid [poly(I:C)] followed by lipopolysaccharide (LPS) to simulate respiratory RNA virus secondary Gram-negative bacterial infection. The results demonstrated that poly(I:C) followed by LPS stimulation induced more weight loss, worse lung pathological injury, additional recruitment of neutrophils and interstitial macrophages, and elevated expression of ficolin A/B in the lung neutrophils, alveolar and interstitial macrophages. Knockout of ficolin A/B alleviated the body weight loss, the lung pathological injury, and the pulmonary inflammatory score. Mechanically, knockout of ficolin A/B was associated with reduced interstitial macrophage recruitment and alveolar macrophage exhaustion. These results suggest that ficolin A/B is a potential therapeutic target for severe pneumonia induced by respiratory RNA virus secondary Gram-negative bacterial infection.

06 Mar 2025·Brain

High-dimensional proteomic analysis for pathophysiological classification of traumatic brain injury

Article

Author: Kodosaki, Eleftheria ; Soreq, Eyal ; Zimmerman, Karl ; Bertolini, Guido ; Magnoni, Sandra ; Moro, Federico ; Parker, Thomas ; Li, Lucia M ; Graham, Neil ; Sharp, David J ; Loane, David J ; Zetterberg, Henrik ; Heslegrave, Amanda ; Garbero, Elena

AbstractPathophysiology and outcomes after traumatic brain injury (TBI) are complex and heterogeneous. Current classifications are uninformative about pathophysiology. Proteomic approaches with fluid-based biomarkers are ideal for exploring complex disease mechanisms, because they enable sensitive assessment of an expansive range of processes potentially relevant to TBI pathophysiology. We used novel high-dimensional, multiplex proteomic assays to assess altered plasma protein expression in acute TBI.We analysed samples from 88 participants from the BIO-AX-TBI cohort [n = 38 moderate–severe TBI (Mayo Criteria), n = 22 non-TBI trauma and n = 28 non-injured controls] on two platforms: Alamar NULISA™ CNS Diseases and OLINK® Target 96 Inflammation. Patient participants were enrolled after hospital admission, and samples were taken at a single time point ≤10 days post-injury. Participants also had neurofilament light, GFAP, total tau, UCH-L1 (all Simoa®) and S100B (Millipore) data. The Alamar panel assesses 120 proteins, most of which were previously unexplored in TBI, plus proteins with known TBI specificity, such as GFAP. A subset (n = 29 TBI and n = 24 non-injured controls) also had subacute (10 days to 6 weeks post-injury) 3 T MRI measures of lesion volume and white matter injury (fractional anisotropy).Differential expression analysis identified 16 proteins with TBI-specific significantly different plasma expression. These were neuronal markers (calbindin 2, UCH-L1 and visinin-like protein 1), astroglial markers (S100B and GFAP), neurodegenerative disease proteins (total tau, pTau231, PSEN1, amyloid-beta-42 and 14-3-3γ), inflammatory cytokines (IL16, CCL2 and ficolin 2) and cell signalling- (SFRP1), cell metabolism- (MDH1) and autophagy-related (sequestome 1) proteins. Acute plasma levels of UCH-L1, PSEN1, total tau and pTau231 were correlated with subacute lesion volume. Sequestome 1 was positively correlated with white matter fractional anisotropy, whereas CCL2 was inversely correlated. Neuronal, astroglial, tau and neurodegenerative proteins were correlated with each other, IL16, MDH1 and sequestome 1. Exploratory clustering (k means) by acute protein expression identified three TBI subgroups that differed in injury patterns, but not in age or outcome. One TBI cluster had significantly lower white matter fractional anisotropy than control-predominant clusters but had significantly lower lesion subacute lesion volumes than another TBI cluster. Proteins that overlapped on two platforms had excellent (r > 0.8) correlations between values.We identified TBI-specific changes in acute plasma levels of proteins involved in neurodegenerative disease, inflammatory and cellular processes. These changes were related to patterns of injury, thus demonstrating that processes previously studied only in animal models are also relevant in human TBI pathophysiology. Our study highlights how proteomic approaches might improve classification and understanding of TBI pathophysiology, with implications for prognostication and treatment development.

01 Feb 2025·Marine Biotechnology

Identification of Key Genes Correlated with Economic Trait Superiorities and Their SNP Screening Through Transcriptome Comparisons, WGCNA and Pearson Correlation Coefficient in the Sea Cucumber Apostichopus Japonicus

Article

Author: Cheng, Cao ; Wang, Haolin ; Wang, Zengdong ; Chang, Yaqing ; Zhao, Tanjun ; Sun, Jingxian ; Zou, Ange ; Li, Chengda ; Zhan, Yaoyao

Variation in morphology-driven economic traits is a common issue hindering the development of the sea cucumber aquaculture industry. In this study, transcriptome comparisons, weighted gene correlation network analysis (WGCNA) and Pearson correlation coefficient (PCC) were first employed to identify key genes correlated with morphological variation in the sea cucumber Apostichopus japonicus, after which the relationship between identified key genes (relative expression and genotype) and economic trait phenotypes was investigated to screen potential biomarker targets for molecular-assisted breeding. The results showed that three genes (putative ficolin-2, fibrinogen c domain-containing protein 1, and angiopoietin-4) were closely associated with economic trait superiorities. Two single nucleotide polymorphisms (SNPs) were identified in the putative ficolin-2 gene as having a strong correlation with body weight and papilla number. The findings from this study will enrich breeding biomarker resources and benefit the development of molecular-assisted breeding techniques in sea cucumber aquaculture.

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FCN2

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