A5103006187- Complement system in diseases
- Blood groups and transfusion
- Infant Nutrition and Health
- Erythrocyte Function and Pathophysiology
- Neonatal and Maternal Infections
- Pancreatitis Pathology and Treatment
- Hemoglobin structure and function
- Inflammasome and immune disorders
- vaccines and immunoinformatics approaches
- Peripheral Neuropathies and Disorders
- Advanced Image Fusion Techniques
- Venomous Animal Envenomation and Studies
- IL-33, ST2, and ILC Pathways
- Helicobacter pylori-related gastroenterology studies
- Blood Pressure and Hypertension Studies
- Bioinformatics and Genomic Networks
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Trypanosoma species research and implications
- Chemokine receptors and signaling
- Cellular transport and secretion
- Remote-Sensing Image Classification
- Renal Diseases and Glomerulopathies
- Optimism, Hope, and Well-being
- Ferroptosis and cancer prognosis
- Immunotherapy and Immune Responses
Wuhan Sports University
2025
China University of Mining and Technology
2024
Utrecht University
2012-2022
Fujian Medical University
2017
Tsinghua University
2011
Abstract Regulators of complement activation ( RCA ) inhibit complement‐induced immune responses on healthy host tissues. We present crystal structures human MCP , DAF and CR 1) a smallpox virus homolog SPICE bound to component C3b. Our structural data reveal that up four consecutive homologous CCP domains (i–iv), responsible for inhibition, bind in the same orientation extended arrangement at shared binding platform Large sequence variations explain diverse C3b‐binding patterns, with...
Abstract With the addition of compstatin-based complement C3 inhibitor pegcetacoplan, another class targeted therapeutics have recently been approved. Moreover, compstatin derivatives with enhanced pharmacodynamic and pharmacokinetic profiles are in clinical development (e.g., Cp40/AMY-101). Despite this progress, target binding inhibitory modes family remain incompletely described. Here, we present crystal structure Cp40 complexed its C3b at 2.0-Å resolution. Structure-activity-relationship...
Pathogens have evolved sophisticated mechanisms to evade detection and destruction by the host immune system. Large DNA viruses encode homologues of chemokines their receptors, as well chemokine-binding proteins (CKBPs) modulate chemokine network in response. The SECRET domain (smallpox virus-encoded receptor) represents a new family viral CKBPs that binds subset from different classes inhibit activities, either independently or fused with tumor necrosis factor receptors (vTNFRs). Here we...
Atypical hemolytic uremic syndrome (aHUS) is associated with mutations affecting complement proteins and regulators autoantibodies against factor H (CFH). Approximately half of the aHUS patients progress to end-stage renal disease. DNA analysis risk genes important for prognosis recurrence after transplantation. Mutational screening C3 encoding central component was performed by Sanger sequencing in 70 patients. Mutated wild type recombinant C3b were produced their affinity CFH analyzed...
Background: The diagnosis of neonatal sepsis remains a challenge as the condition lacks early clinical signs and reliable biomarkers. Objectives: aim our study was to determine whether serum mannose binding lectin (MBL) levels genotypes MBL2 gene could be used markers for predicting in Chinese Han population. Methods: This prospective hospital-based design. 48 neonates with symptoms septicemia (study group), 96 infants no infection (control) were included. All are descent. promoter...
The combination of next-generation sequencing technology and Cancer Genome Atlas (TCGA) data provides unprecedented opportunities for the discovery cancer subtypes. Through comprehensive analysis in-depth genomic a large number patients, researchers can more accurately identify different subtypes reveal their molecular heterogeneity.
As remote sensing technology continues to evolve, the integration of multi-view data, including HSI and LiDAR has emerged as a pivotal research area aimed at enhancing precision classification. However, most current multimodal data fusion methods follow process first extracting features from each modality, then combining these using strategy, finally performing This approach may result in diminution original information during feature relies heavily on performance Softmax function...