Immune checkpoint inhibitor-related endocrinopathies

Lu, Difei; Gao, Ying

doi:10.2478/jtim-2022-0009

Cited by 10 publications

(6 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the pathogenesis of IgAVN remain unclear, it may involve the disruption of both cellular and humoral immunity, and the release of various cytokines and inflammatory mediators ( 27 , 28 ). In our GO and KEGG enrichment analysis, hub genes were enriched in both the innate immune pathways (TLR signaling, NOD-like receptor signaling, and MAPK signaling) and the adaptive immune pathways (Th17 cell differentiation).…”

Section: Discussionmentioning

confidence: 99%

Identification of key genes and imbalance of immune cell infiltration in immunoglobulin A associated vasculitis nephritis by integrated bioinformatic analysis

Jia

Zhu²,

Jiang³

et al. 2023

Front. Immunol.

View full text Add to dashboard Cite

BackgroundIgAV, the most common systemic vasculitis in childhood, is an immunoglobulin A-associated immune complex-mediated disease and its underlying molecular mechanisms are not fully understood. This study attempted to identify differentially expressed genes (DEGs) and find dysregulated immune cell types in IgAV to find the underlying pathogenesis for IgAVN.MethodsGSE102114 datasets were obtained from the Gene Expression Omnibus (GEO) database to identify DEGs. Then, the protein-protein interaction (PPI) network of the DEGs was constructed using the STRING database. And key hub genes were identified by cytoHubba plug-in, performed functional enrichment analyses and followed by verification using PCR based on patient samples. Finally, the abundance of 24 immune cells were detected by Immune Cell Abundance Identifier (ImmuCellAI) to estimate the proportions and dysregulation of immune cell types within IgAVN.ResultA total of 4200 DEGs were screened in IgAVN patients compared to Health Donor, including 2004 upregulated and 2196 downregulated genes. Of the top 10 hub genes from PPI network, STAT1, TLR4, PTEN, UBB, HSPA8, ATP5B, UBA52, and CDC42 were verified significantly upregulated in more patients. Enrichment analyses indicated that hub genes were primarily enriched in Toll-like receptor (TLR) signaling pathway, nucleotide oligomerization domain (NOD)-like receptor signaling pathway, and Th17 signaling pathways. Moreover, we found a diversity of immune cells in IgAVN, consisting mainly of T cells. Finally, this study suggests that the overdifferentiation of Th2 cells, Th17 cells and Tfh cells may be involved in the occurrence and development of IgAVN.ConclusionWe screened out the key genes, pathways and maladjusted immune cells and associated with the pathogenesis of IgAVN. The unique characteristics of IgAV-infiltrating immune cell subsets were confirmed, providing new insights for future molecular targeted therapy and a direction for immunological research on IgAVN.

show abstract

Section: Discussionmentioning

confidence: 99%

Identification of key genes and imbalance of immune cell infiltration in immunoglobulin A associated vasculitis nephritis by integrated bioinformatic analysis

Jia

Zhu²,

Jiang³

et al. 2023

Front. Immunol.

View full text Add to dashboard Cite

show abstract

“…In addition, immunotherapy has become an active research field in the fields of cancer biology and oncology. [30,31] Our study had some limitations. First, the prognostic analysis of OS rates was based on public databases.…”

Section: Discussionmentioning

confidence: 94%

“…In addition, immunotherapy has become an active research field in the fields of cancer biology and oncology. [30,31]…”

Section: Discussionmentioning

confidence: 99%

A novel cuproptosis-related genes model in breast cancer prognosis

Zheng¹,

Shi²,

Zhang

et al. 2023

Medicine

View full text Add to dashboard Cite

Breast cancer (BRCA) is a highly heterogeneous malignancy with an urgent need to build a proper model to predict its prognosis. Cuproptosis is a recently discovered form of cell death, mediated by protein fatty acylation and tightly associated with mitochondrial metabolism. The role of cuproptosis-related genes (CRGs) in BRCA remains to be explored. We aimed to investigate the applications of CRGs in BRCA prognosis in different clinical contexts, including chemotherapy and immunotherapy, via bioinformatics analysis of the messenger RNA profiles and clinical data obtained from public databases. Molecular subtyping of CRGs was performed through consistent clustering analysis. Differentially expressed genes between different CRG clusters were identified. The differentially expressed genes were then used to build a risk assessment model using least absolute shrinkage and selection operator regression to predict patient survival with BRCA. The model was then validated with the data from the Molecular Taxonomy of Breast Cancer International Consortium, GSE96058, and GSE20685. Differences in somatic mutations, copy number variations, hallmark pathways, drug responses, and prognosis of immunotherapy and chemotherapy were analyzed by comparing the high-risk and low-risk groups. Patients with high-risk scores showed worse overall survival than those with low-risk scores. The results indicated significant differences between the 2 groups immune-related biological pathways and the variable immune status. It also suggests the differential sensitivity to chemotherapy between the 2 groups. The CRGs model showed the promise to predict the prognosis of BRCA patients and shed light on their treatment.

show abstract

“…Moreover, autoantibodies are detectable months to years before autoimmune diabetes onset; upon that time, patients still possess a reasonable number of β cells that can manage blood glucose (Figure S1). With rapid progress in treatments of autoimmune disease, it is expected that there will be a way to drag or even stop the progress of autoimmune destruction. − All the above demonstrates the pivotal role of antibody detection in both diabetes diagnosis and prediagnosis. Among diabetes autoantibodies, GADA is detectable in around 80% of autoimmune diabetic patients, which makes it indispensable in every single antibody test.…”

mentioning

confidence: 99%

Study of an Ultrasensitive Label-Free Electrochemiluminescent Immunosensor Fabricated with a Composite Electrode for Detecting the Glutamate Decarboxylase Antibody

Yang

Wen

et al. 2023

ACS Sens.

View full text Add to dashboard Cite

Antibody testing for the glutamic acid decarboxylase 65 antibody (GADA) is widely used as a golden standard for autoimmune diabetes diagnosis, while current methods for antibody testing are not sensitive enough for clinical usage. Here, a label-free electrochemiluminescent (ECL) immunosensor for detecting GADA in autoimmune diabetes is fabricated and investigated. In the designed immunosensor, a composite film including the multiwalled carbon nanotubes (MWCNTs), zinc oxide (ZnO), and Au nanoparticles (AuNPs) was prepared through nanofabrication processes to improve the performance of sensor. The MWCNTs, which can provide a larger specific surface area, ZnO as a good photocatalytic material, and AuNPs that can enhance the ECL signal of luminol and immobilize the GAD65 antigen were applied to prefunctionalize indium tin oxide (ITO) glass based on a nanofabrication process. The GADA concentration was detected using the ECL immunosensor after incubating with GAD65 antigen-coated prefunctionalized ITO glass. After a direct immunoreaction, it is found that the degree of decreased ECL intensity has a good linear regression toward the logarithm of the GADA concentration in the range of 0.01 to 50 ng mL −1 with a detection limit down to 10 pg mL −1 . Human serum samples positive or negative for GADA all nicely fell in the expected area. The fabricated immunosensor with excellent sensitivity, specificity, and stability has potential capability for clinical usage in GADA detection.

show abstract

Immune checkpoint inhibitor-related endocrinopathies

Cited by 10 publications

References 45 publications

Identification of key genes and imbalance of immune cell infiltration in immunoglobulin A associated vasculitis nephritis by integrated bioinformatic analysis

Identification of key genes and imbalance of immune cell infiltration in immunoglobulin A associated vasculitis nephritis by integrated bioinformatic analysis

A novel cuproptosis-related genes model in breast cancer prognosis

Study of an Ultrasensitive Label-Free Electrochemiluminescent Immunosensor Fabricated with a Composite Electrode for Detecting the Glutamate Decarboxylase Antibody

Contact Info

Product

Resources

About