更新于：2024-11-01

BPI

更新于：2024-11-01

基本信息

别名

bactericidal permeability increasing protein、Bactericidal permeability-increasing protein、BPI

+ [2]

简介

The cytotoxic action of BPI is limited to many species of Gram-negative bacteria; this specificity may be explained by a strong affinity of the very basic N-terminal half for the negatively charged lipopolysaccharides that are unique to the Gram-negative bacterial outer envelope. Has antibacterial activity against the Gram-negative bacterium P.aeruginosa, this activity is inhibited by LPS from P.aeruginosa.

关联

项与 BPI 相关的药物

CN118252914

专利挖掘

靶点

BPI

作用机制-

在研机构

中日友好医院

原研机构

中日友好医院

在研适应症

皮肤疾病

非在研适应症-

最高研发阶段药物发现

首次获批国家/地区-

首次获批日期1800-01-20

CN115947867

专利挖掘

靶点

BPI x IL-8

作用机制-

在研机构

Anjun (Beijing) Gene Technology Co., Ltd.

原研机构

Xiamen United Anjin Bioengineering Co., Ltd. [+1]

在研适应症

感染

非在研适应症-

最高研发阶段药物发现

首次获批国家/地区-

首次获批日期1800-01-20

100 项与 BPI 相关的临床结果

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100 项与 BPI 相关的转化医学

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0 项与 BPI 相关的专利（医药）

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650

项与 BPI 相关的文献（医药）

2024-12-01·IBRO Neuroscience Reports

Identifying signature genes and their associations with immune cell infiltration in spinal cord injury

Article

作者: Zhao, Yingjie ; Chang, Su’e ; Chang, Su'e ; Lv, Meng ; Gao, Zhengchao

BackgroundEarly detection of spinal cord injury (SCI) is conducive to improving patient outcomes. In addition, many studies have revealed the role of immune cells in the progression or treatment of SCI. The objective of this study was to identify the early signature genes and clarify how they are related to immune cell infiltration in SCI.MethodsWe analysed and identified early signature genes associated with SCI via bioinformatics analysis of the GSE151371 dataset from the GEO database. These genes were subsequently verified in the GSE33886 dataset and qRT-PCR. Finally, the CIBERSORT algorithm was used to examine the immune cell infiltration in SCI and its relationship with signature genes.ResultsSeven SCI-related signature genes, including ARG1, RETN, BPI, GGH, CCNB1, HIST1H2AC, and HIST1H2BJ, were identified, and their expression was verified via an external validation cohort and qRT-PCR. Moreover, the ROC curves revealed the diagnostic value of these genes. In addition, on the basis of immune cell infiltration analysis, plasma cells, M0 macrophages, activated CD4+ memory T cells, γδ T cells, naive CD4+ T cells, and resting CD4+ memory T cells may participate in the progression of SCI.ConclusionThis study identified seven early signature genes of SCI that may serve as biomarkers for the early diagnosis of SCI and contribute to our understanding of immune changes during the pathology of SCI.

2024-08-09·Medicine

Bioinformatics analysis of the tumor microenvironment in melanoma – Constructing a prognostic model based on CD8+ T cell-related genes: An observational study

Article

作者: He, Zhenghao ; Luo, Zhijun ; Chen, Manli

This research endeavor seeks to explore the microenvironment of melanoma tumors and construct a prognostic model by focusing on genes specific to CD8+ T cells. The single-cell sequencing data of melanoma underwent processing with the Seurat package, subsequent to which cell communication network analysis was conducted using the iTALK package and transcription factor analysis was performed using the SCENIC package. Univariate COX and LASSO regression analyses were utilized to pinpoint genes linked to the prognosis of melanoma patients, culminating in the creation of a prognostic model through multivariate COX analysis. The model was validated using the GSE65904 and GSE35640 datasets. Multi-omics analysis was conducted utilizing the maftools, limma, edgeR, ChAMP, and clusterProfiler packages. The examination of single-cell sequencing data revealed the presence of 8 cell types, with the transcription factors RFXAP, CLOCK, MGA, RBBP, and ZNF836 exhibiting notably high expression levels in CD8+ T cells as determined by the SCENIC package. Utilizing these transcription factors and their associated target genes, a prognostic model was developed through COX and LASSO analyses, incorporating the genes GPR171, FAM174A, and BPI. This study validated the model with independent datasets and conducted additional analysis involving multi-omics and immune infiltration to identify a more favorable prognosis for patients in the low-risk group. The findings provide valuable insights into the tumor microenvironment of melanoma and establish a reliable prognostic model. The integration of multi-omics and immune infiltration analyses enhances our understanding of the pathogenesis of melanoma. The identification of specific genes holds promise as potential biomarkers for individuals with melanoma, serving as important indicators for predicting patient outcomes and determining their response to immunotherapy.

2024-07-01·The Journal of Pediatrics

Proteomics-Based Mapping of Bronchopulmonary Dysplasia-Associated Changes in Noninvasively Accessible Oral Secretions

Article

作者: van Zalm, Patrick ; Fatou, Benoit ; Martin, Camilia R ; Hansen, Rachel ; Ahmed, Saima ; Steen, Hanno ; Odumade, Oludare A ; Angelidou, Asimenia

OBJECTIVETo determine if oral secretions (OS) can be used as a noninvasively collected body fluid, in lieu of tracheal aspirates (TA), to track respiratory status and predict bronchopulmonary dysplasia (BPD) development in infants born <32 weeks.STUDY DESIGNThis was a retrospective, single center cohort study that included data and convenience samples from week-of-life (WoL) 3 from 2 independent preterm infant cohorts. Using previously banked samples, we applied our sample-sparing, high-throughput proteomics technology to compare OS and TA proteomes in infants born <32 weeks admitted to the Neonatal Intensive Care Unit (NICU) (Cohort 1; n = 23 infants). In a separate similar cohort, we mapped the BPD-associated changes in the OS proteome (Cohort 2; n = 17 infants including 8 with BPD).RESULTSIn samples collected during the first month of life, we identified 607 proteins unique to OS, 327 proteins unique to TA, and 687 overlapping proteins belonging to pathways involved in immune effector processes, neutrophil degranulation, leukocyte mediated immunity, and metabolic processes. Furthermore, we identified 37 OS proteins that showed significantly differential abundance between BPD cases and controls: 13 were associated with metabolic and immune dysregulation, 10 of which (eg, SERPINC1, CSTA, BPI) have been linked to BPD or other prematurity-related lung disease based on blood or TA investigations, but not OS.CONCLUSIONSOS are a noninvasive, easily accessible alternative to TA and amenable to high-throughput proteomic analysis in preterm newborns. OS samples hold promise to yield actionable biomarkers of BPD development, particularly for prospective categorization and timely tailored treatment of at-risk infants with novel therapies.