Proceedings of the immune thrombocytopenia summit: new concepts in mechanisms, diagnosis, and management

Mahamad, Syed; Modi, Dimpy; Al‐Samkari, Hanny; Cuker, Adam; Despotovic, Jenny M.; Italiano, Joseph E.; Lambert, Michele P.; Lee, Eun‐Ju; Rondina, Matthew T.; Sholzberg, Michelle; Kruse, Caroline; Larché, Mark; Nazy, Ishac; Miller, Matthew S.; Arnold, Donald M.

doi:10.1016/j.rpth.2023.100097

Cited by 4 publications

(1 citation statement)

References 51 publications

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“…Despite the possible application of platelet autoantibody serologic results in predicting therapy response that was previously discussed [ 13 , 14 ], it has recently been demonstrated that anti-GPIb/IX antibodies could not predict a patient's nonresponse to glucocorticoids or IVIG [ 15 ]. Based on the results of the studies, the current status of predicting biomarkers for personalized medicine in ITP is inconclusive [ 16 ]. Thus, identifying predictive biomarkers can be useful in predicting a patient's response to first-line therapy if they are candidates for splenectomy.…”

Section: Introductionmentioning

confidence: 99%

Proteomic‐Based Discovery of Predictive Biomarkers for Drug Therapy Response and Personalized Medicine in Chronic Immune Thrombocytopenia

Gilanchi,

Faranoush,

Daskareh

et al. 2023

BioMed Research International

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Purpose. ITP is the most prevalent autoimmune blood disorder. The lack of predictive biomarkers for therapeutic response is a major challenge for physicians caring of chronic ITP patients. This study is aimed at identifying predictive biomarkers for drug therapy responses. Methods. 2D gel electrophoresis (2-DE) was performed to find differentially expressed proteins. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometer (MALDI-TOF MS) analysis was performed to identify protein spots. The Cytoscape software was employed to visualize and analyze the protein-protein interaction (PPI) network. Then, enzyme-linked immunosorbent assays (ELISA) were used to confirm the results of the proteins detected in the blood. The DAVID online software was used to explore the Gene Ontology and pathways involved in the disease. Results. Three proteins, including APOA1, GC, and TF, were identified as hub-bottlenecks and confirmed by ELISA. Enrichment analysis results showed the importance of several biological processes and pathway, such as the PPAR signaling pathway, complement and coagulation cascades, platelet activation, vitamin digestion and absorption, fat digestion and absorption, cell adhesion molecule binding, and receptor binding. Conclusion and Clinical Relevance. Our results indicate that plasma proteins (APOA1, GC, and TF) can be suitable biomarkers for the prognosis of the response to drug therapy in ITP patients.

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Section: Introductionmentioning

confidence: 99%

Proteomic‐Based Discovery of Predictive Biomarkers for Drug Therapy Response and Personalized Medicine in Chronic Immune Thrombocytopenia

Gilanchi,

Faranoush,

Daskareh

et al. 2023

BioMed Research International

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Identification of metabolism-related key genes as potential biomarkers for pathogenesis of immune thrombocytopenia

Xu,

Zhang,

Xing

et al. 2024

Sci Rep

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Immune thrombocytopenia (ITP), an acquired autoimmune disease, is characterized by immune-mediated platelet destruction. A biomarker is a biological entity that contributes to disease pathogenesis and reflects disease activity. Metabolic alterations are reported to be associated with the occurrence of various diseases. As metabolic biomarkers for ITP have not been identified. This study aimed to identify metabolism-related differentially expressed genes as potential biomarkers for pathogenesis of ITP using bioinformatic analyses.The microarray expression data of the peripheral blood mononuclear cells were downloaded from the Gene Expression Omnibus database (GSE112278 download link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE112278). Key module genes were intersected with metabolism-related genes to obtain the metabolism-related key candidate genes. The hub genes were screened based on the degree function in the coytoscape sofware. The key ITP-related genes were subjected to functional enrichment analysis. Immune infiltration analysis was performed using a single-sample gene set enrichment analysis algorithm to evaluate the differential infiltration levels of immune cell types between ITP patient and control. Molecular subtypes were identified based on the expression of hub genes. The expression of hub genes in the ITP patients was validated using quantitative real-time polymerase chain reaction analysis. This study identified five hub genes (ADH4, CYP7A1, CYP1A2, CYP8B1, and NR1H4), which were be associated with the pathogenesis of ITP, and two molecular subtypes of ITP. Among these hub genes, CYP7A1 and CYP8B1 involved in cholesterol metabolism,were further verified in clinical samples.

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Relation of Immune Thrombocytopenia and Blood Group: A Retrospective Single Center Study

SELİM,

YAVAŞ,

BOLAMAN

2023

Medical Records

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Objective: Although blood group antigens were initially identified as erythrocyte surface antigens and their significance was mainly ascribed to serology, it soon became evident that these antigens are widely distributed in human tissues such as platelets. Immunthrombocytopenia (ITP) is a common autoimmune disorder characterized by a low platelet count. In our study, we investigated the relationship between ABO and Rhesus (Rh) blood groups and primary ITP. Materials and Methods: A retrospective study was conducted at our center with 304 patients diagnosed with primary ITP and 491 blood donors. Results: ABO phenotype in patients group A, B, O, AB were 42.8%, 14,1%, 34,9% , 8.2%, respectively and 51,6%, 8,1%, 27,9%, 12,4% in the control group, respectively. Rh phenotype in patients group positive or negative 87,5%, 12,5 % respectively and 88,8%, 11,2% in the control group, respectively. A total of 304 patients with primary ITP, consisting of 203 (66,8%) females, and 101(33,2%) males were included in this study. The mean age was 49,5 ±18 years. There was no significant difference in the distribution of ABO blood types and Rh factor by gender (respectively p=0.176, p= 0.195). Conclusion: In our study, no significant difference was found between the blood group distribution in the population and the blood group distribution of patients diagnosed with primary ITP.

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Proceedings of the immune thrombocytopenia summit: new concepts in mechanisms, diagnosis, and management

Cited by 4 publications

References 51 publications

Proteomic‐Based Discovery of Predictive Biomarkers for Drug Therapy Response and Personalized Medicine in Chronic Immune Thrombocytopenia

Proteomic‐Based Discovery of Predictive Biomarkers for Drug Therapy Response and Personalized Medicine in Chronic Immune Thrombocytopenia

Identification of metabolism-related key genes as potential biomarkers for pathogenesis of immune thrombocytopenia

Relation of Immune Thrombocytopenia and Blood Group: A Retrospective Single Center Study

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