Mouse Anti Human Annexins I Hybridoma [FI8b1]

Our study aimed to investigate the gene expression at different myocardial infarction (MI) phases and to understand the development mechanisms of congestive heart failure (CHF) after MI. Dataset GSE1957 including 24 samples of rat left ventricles at 1-day post MI or sham operation and 7-day post MI or sham operation was downloaded from Gene Expression Ominibus. The data were normalized with an affyPLM package and differentially expressed genes (DEGs) were identified with a Linear Models for Microarray Data package. Heat maps of the DEGs were constructed using Cluster 3.0. GO (Gene Ontology) enrichment analysis of the DEGs was performed in Database for Annotation, Visualization, and Integrated Discovery. A protein-protein interaction (PPI) network was constructed by Biomolecular Interaction Network Database and visualized by Cytoscape, and a subnetwork was analyzed using plugin ClusterONE in Cytoscape. A total of 5 DEGs at 1-day post-MI, 5 DEGs at 7-day post-M1, and 7 DEGs between the MI and sham groups at 1-day and 7-day post-MI were identified. For the GO category analysis, DEGs at 1-day post-MI were enriched in response to cytokine stimulus. DEGs at 7-day post-MI were enriched in response to inorganic substance and chemical homeostasis. DEGs between 1-day and 7-day post-MI including CDK2 and CDC20 were significantly enriched in mitosis. CDIC2, ANXA1, CDC20, and AQP2 were included in the PPI network, and CDK2 was the only DEG included in the subnetwork. In conclusion, the induction of DEGs at 7-day post-MI might participate in the response to a hormone and endogenous stimulus to regulate the development of CHF after MI.

One critical factor impeding successful management of invasive aspergillosis (IA) is the lack of reliable biomarkers to assess therapeutic response. We hypothesized that changes in certain host biomarkers reflect the nature of infection status and disease progression. Upon primary IA diagnosis, these disease status biomarkers can be monitored to track response to antifungal therapy and provide early markers that prognosticate likelihood of response. Herein, we analyzed serum levels of three prominent host disease status biomarkers C-reactive protein (CRP), haptoglobin (Hp), and annexin A1 (ANXA1) in IA patients during antifungal therapy. A total of 81 serial serum samples were collected at five or six different time points relative to IA diagnosis from 15 probable IA patients (10 acute leukemia [AL] and five hematopoietic stem cell transplantation [HSCT]). Of note, different biomarker profiles were observed in AL and HSCT patients, as not only levels of markers were significantly lower in HSCT patients but also more prominent interconnections among markers were observed in AL patients. Using a composite evaluation, patients were categorized as responders, nonresponders, and stable cases at last specimen. For AL responders, typical biomarker profiles were high initially but rapidly decreased for CRP and Hp post antifungal therapy, while low initial ANXA1 values were restored to normal levels after treatment. In contrast, CRP and Hp were persistently elevated whilst ANXA1 remained low throughout therapy in AL non-responders. As a pilot proof-of-concept study, our work demonstrates the great potential of using host biomarkers to monitor early therapeutic response in leukemia patients.