CYBA

Last update 08 May 2025

Basic Info

Synonyms

CYBA, cytochrome b-245 alpha chain, Cytochrome b-245 light chain

+ [7]

Introduction

Subunit of NADPH oxidase complexes that is required for the NADPH oxidase activity that generates, in various cell types, superoxide from molecular oxygen utilizing NADPH as an electron donor (PubMed:15824103, PubMed:17140397, PubMed:38355798). Subunit of the phagocyte NADPH oxidase complex that mediates the transfer of electrons from cytosolic NADPH to O2 to produce the superoxide anion (O2(-)) (PubMed:38355798). In the activated complex, electrons are first transferred from NADPH to flavin adenine dinucleotide (FAD) and subsequently transferred via two heme molecules to molecular oxygen, producing superoxide through an outer-sphere reaction (PubMed:38355798). Activation of the NADPH oxidase complex is initiated by the assembly of cytosolic subunits of the NADPH oxidase complex with the core NADPH oxidase complex to form a complex at the plasma membrane or phagosomal membrane (PubMed:38355798). This activation process is initiated by phosphorylation dependent binding of the cytosolic NCF1/p47-phox subunit to the C-terminus of CYBA/p22-phox (PubMed:19948736). Aassociates with NOX3 to form a functional NADPH oxidase constitutively generating superoxide (PubMed:15824103, PubMed:17140397).

100 Clinical Results associated with CYBA

100 Translational Medicine associated with CYBA

0 Patents (Medical) associated with CYBA

1,828

Literatures (Medical) associated with CYBA

01 Dec 2025·Inflammation Research

Single-cell hdWGCNA reveals a novel diagnostic model and signature genes of macrophages associated with chronic obstructive pulmonary disease

Article

Author: Zhou, Xianqiang ; Feng, Cuiling ; Zhang, Yixin ; Jin, Zhengjie ; Wang, Hongtao ; Meng, Yufeng ; Yang, Jie

BACKGROUNDChronic obstructive pulmonary disease (COPD) is the leading cause of respiratory system-related mortality worldwide. Although COPD is associated with immune regulation, its underlying mechanisms remain unclear.METHODSCells from the single-cell RNA sequencing (scRNA-seq) datasets were subjected to clustering analysis and cell type identification to isolate immune cell subgroups specifically expressed in COPD. High-dimensional weighted gene co-expression network analysis (hdWGCNA) was used to identify hub genes related to the immune cell subpopulations. Machine learning algorithms were applied to identify diagnostic genes in the immune cell subpopulations and construct clinical diagnostic models for COPD. In bulk RNA sequencing data, AUC curves were used to assess the stability of the diagnostic models in predicting COPD.RESULTSThrough 2 rounds of clustering analysis, the macrophage subgroups 1, 2, 7, 11, and 13 which specifically expressed in COPD (COPD_Mφ) were identified. HdWGCNA analysis revealed a hub set of genes closely related to COPD_Mφ from black, blue, yellow, and brown modules. Nonnegative Matrix Factorization (NMF) analysis separated the COPD samples into 2 clusters, with significant increases in the infiltration of Monocytic_lineage, Myeloid_dendritic_cells, and Neutrophils in cluster 1 (P < 0.001). Univariate logistic regression and LASSO regression analyses identified 11 feature genes associated with COPD_Mφ, including CST3, LGALS3, CSTB, S100A10, CYBA, S100A11, ARPC3, FTH1, PFN1, MAN2B1, and RPL39. The RF and convolutional neural network (CNN) models constructed using these feature genes effectively distinguished between normal and COPD patients. Among them, S100A10, RPL39, and FTH1 exhibited differential expression between COPD patients and normal individuals and could serve as potential clinical diagnostic markers for COPD.CONCLUSIONSThe study provides new insights into the immune mechanisms of COPD and lays the theoretical foundation for its future clinical diagnosis and personalized treatment.

01 Sep 2025·Comparative Biochemistry and Physiology Part D: Genomics and Proteomics

The physiological and transcriptional differences between golden and brown noble scallops Chlamys nobilis

Article

Author: Wang, Weili ; Zhang, Chuanxu ; He, Cheng ; Zhang, Hongkuan ; Duan, Xixi ; Sun, Yizhou ; Zheng, Huaiping

Mollusks are the second Phylum in the Kingdom Animalia, which provide not only high-quality protein but also serves as a viewing function for humans due to the polymorphism in shell colors. However, the mechanisms of the differences in shell colors, especially on scallops, have rarely been studied. In this study, the shell and mantle of two different shell colors (golden and brown) of the noble scallops Chlamys nobilis were analyzed, including their microstructure, pigment content, and gene expression. The results showed that the golden scallop shell is golden from the outside to the inside, while the prismatic and nacreous layers in the brown scallop are lighter in color than the periostracum. Unlike the golden scallop, there was a layer of melanin vesicles at the edge of the brown scallop mantle. The total carotenoids content (TCC) in the mantle and shell of the golden scallop was significantly higher than that of the brown scallops (P < 0.05), but the melanin content was significantly lower than that of the brown scallop (P < 0.05). Candidate genes such as BCDO1, CYP5A, CYP2J, CYBA, EP300, and GNAO were screened from the differentially expressed genes (DEGs), and their differential expression may explain the differences in melanin and carotenoid content between the golden and brown scallops. These findings will help to understand the color polymorphism of noble scallops and provide a basis for further research on the inheritance of noble scallops.

01 Jun 2025·Biochemical and Biophysical Research Communications

Integrated transcriptomic and proteomic profiling reveals the anti-inflammatory mechanism of dihydroartemisinin in the treatment of acute liver injury by targeting CYBA and CYBB

Article

Author: Chen, Jiayun ; Liu, Jing ; Wang, Jigang ; Yang, Hao ; Guo, Huiyi ; Zhang, Junzhe ; Yuan, Haoxing ; Li, Honglian ; Liu, Shuwen

Acute liver injury (ALI) is a prevalent inflammatory disease with no currently available effective targeted therapies that characterized by high mortality and morbidity. Dihydroartemisinin (DHA), a derivative of the renowned antimalarial compound artemisinin, has garnered attention for its anti-inflammatory property. However, the precise anti-inflammatory mechanisms underlying its efficacy in treating ALI remain unclear. Notably, the excessive inflammatory cytokines secreted by macrophages represents a critical factor of liver damage. In our comprehensive study, transcriptome and proteomic analysis of M1 macrophages after DHA treatment was performed to unearth the potential anti-inflammatory targets for ALI treatment. Transcriptomics analysis indicated that DHA significantly mitigated inflammation, primarily by downregulating the expressions of CCL1, CCL2, CCL7, CCL13, and CXCL13. Concurrently, proteomics analysis identified six proteins, such as CYBA and CYBB, that were consistently downregulated in the DHA intervention groups compared to the M1 group. Intriguingly, a protein-protein interaction network analysis highlighted the close association of CYBA and CYBB with the aforementioned chemokine genes. Through meticulous screening, DHA curtailed the production of reactive oxygen species (ROS) by targeting CYBA and CYBB, subsequently suppressing the secretion of several chemokines and dampening the inflammatory response in M1 macrophages. More importantly, DHA not only reduced ROS and chemokine levels but also restored liver function by downregulating CYBA and CYBB to inhibit NF-κB pathway in ALI mice, demonstrating strong anti-inflammatory effects. In conclusion, our findings throw novel light into the underlying anti-inflammatory mechanism of DHA in ALI management, offering valuable insights for future clinical research and therapeutic strategies for inflammatory diseases.

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