Cystamine Preparations Exhibit Anticoagulant Activity

Transglutaminases are a superfamily of isoenzymes found in cells and plasma. These enzymes catalyze the formation of ε-N-(γ-glutamyl)-lysyl crosslinks between proteins. Cystamine blocks transglutaminase activity and is used in vitro in human samples and in vivo in mice and rats in studies of coagulation, immune dysfunction, and inflammatory disease. These studies have suggested cystamine blocks fibrin crosslinking and has anti-inflammatory effects, implicating transglutaminase activity in the pathogenesis of several diseases. We measured the effects of cystamine on fibrin crosslinking, tissue factor-triggered plasma clot formation and thrombin generation, and coagulation factor enzymatic activity. At concentrations that blocked fibrin crosslinking, cystamine also inhibited plasma clot formation and reduced thrombin generation. Cystamine inhibited the amidolytic activity of coagulation factor XI and thrombin towards chromogenic substrates. These findings demonstrate that cystamine exhibits anticoagulant activity during coagulation. Given the close relationship between coagulation and inflammation, these findings suggest prior studies that used cystamine to implicate transglutaminase activity in disease pathogenesis warrant re-examination

Biomarkers of necrotizing enterocolitis in the era of machine learning and omics.

Necrotizing enterocolitis (NEC) continues to be a major cause of morbidity and mortality in preterm infants. Despite decades of research in NEC, no reliable biomarkers can accurately diagnose NEC or predict patient prognosis. The recent emergence of multi-omics could potentially shift NEC biomarker discovery, particularly when evaluated using systems biology techniques. Furthermore, the use of machine learning and artificial intelligence in analyzing this big data could enable novel interpretations of NEC subtypes, disease progression, and potential therapeutic targets, allowing for integration with personalized medicine approaches. In this review, we evaluate studies using omics technologies and machine learning in the diagnosis of NEC. Future implications and challenges inherent to the field are also discussed

Acute Rheumatic Fever in a COVID-19-Positive Pediatric Patient

Bacterial coinfection and COVID-19 have been reported in pediatric populations. We describe a case of Sydenham’s chorea, which is exceedingly rare in developed countries, with concurrent COVID-19. Discussed here is the clinical course of an 8-year-old COVID-positive female with pure Sydenham’s chorea and subclinical carditis from acute rheumatic fever. To our knowledge, there are no documented reports of acute rheumatic fever in a pediatric patient with coexisting COVID-19 infection

The RON Receptor Tyrosine Kinase Promotes Metastasis by Triggering MBD4-Dependent DNA Methylation Reprogramming

Metastasis is the major cause of death in cancer patients, yet the genetic and epigenetic programs that drive metastasis are poorly understood. Here, we report an epigenetic reprogramming pathway that is required for breast cancer metastasis. Concerted differential DNA methylation is initiated by the activation of the RON receptor tyrosine kinase by its ligand, macrophage stimulating protein (MSP). Through PI3K signaling, RON/MSP promotes expression of the G:T mismatch-specific thymine glycosylase MBD4. RON/MSP and MBD4-dependent aberrant DNA methylation results in the misregulation of a specific set of genes. Knockdown of MBD4 reverses methylation at these specific loci and blocks metastasis. We also show that the MBD4 glycosylase catalytic residue is required for RON/MSP-driven metastasis. Analysis of human breast cancers revealed that this epigenetic program is significantly associated with poor clinical outcome. Furthermore, inhibition of Ron kinase activity with a pharmacological agent blocks metastasis of patient-derived breast tumor grafts in vivo

Cystamine inhibits fibrin crosslinking.

<p>Representative western blots and densitometry analysis showing the effects of cystamine (A, B) and T101 (C, D) on fibrin formation and crosslinking. Plasma was clotted by re-calcification and addition of lipidated tissue factor in the presence of cystamine or T101. Samples were reduced, boiled and separated by SDS-PAGE and identified by western blotting with anti-fibrinogen polyclonal antibody. MWM, molecular weight marker. NPP, un-clotted normal-pooled plasma. The upper high MW band (indicated by asterisk on the blot) was used for densitometry analysis of this species.</p

NetH2pan: A computational tool to guide MHC peptide prediction on murine tumors

With the advancement of personalized cancer immunotherapies, new tools are needed to identify tumor antigens and evaluate T-cell responses in model systems, specifically those that exhibit clinically relevant tumor progression. Key transgenic mouse models of breast cancer are generated and maintained on the FVB genetic background, and one such model is the mouse mammary tumor virus-polyomavirus middle T antigen (MMTV-PyMT) mouse-an immunocompetent transgenic mouse that exhibits spontaneous mammary tumor development and metastasis with high penetrance. Backcrossing the MMTV-PyMT mouse from the FVB strain onto a C57BL/6 genetic background, in order to leverage well-developed C57BL/6 immunologic tools, results in delayed tumor development and variable metastatic phenotypes.Therefore, we initiated characterization of the FVB MHC class I H-2q haplotype to establish useful immunologic tools for evaluating antigen specificity in the murine FVB strain. Our study provides the first detailed molecular and immunoproteomic characterization of the FVB H-2q MHC class I alleles, including >8,500 unique peptide ligands, a multiallele murine MHC peptide prediction tool, and in vivo validation of these data using MMTV-PyMT primary tumors. This work allows researchers to rapidly predict H-2 peptide ligands for immune testing, including, but not limited to, the MMTV-PyMT model for metastatic breast cancer.Fil: DeVette, Christa I.. Oklahoma Medical Research Foundation; Estados UnidosFil: Andreatta, Massimo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Bardet, Wilfried. Oklahoma Medical Research Foundation; Estados UnidosFil: Cate, Steven J.. Oklahoma Medical Research Foundation; Estados UnidosFil: Jurtz, Vanessa I.. Technical University of Denmark; DinamarcaFil: Jackson, Kenneth W.. Oklahoma Medical Research Foundation; Estados UnidosFil: Welm, Alana L.. University of Utah; Estados UnidosFil: Nielsen, Morten. Technical University of Denmark; DinamarcaFil: Hildebrand, William H.. Universidad Nacional de San Martín; Argentin

Cystamine inhibits plasma clot formation.

<p>Plasma clot formation was triggered by re-calcification and addition of lipidated tissue factor, in the presence of cystamine. Clot formation was monitored by turbidity. The data are representative of four experiments.</p

A pipeline for identification and validation of tumor-specific antigens in a mouse model of metastatic breast cancer

Cancer immunotherapy continues to make headway as a treatment for advanced stage tumors, revealing an urgent need to understand the fundamentals of anti-tumor immune responses. Noteworthy is a scarcity of data pertaining to the breadth and specificity of tumor-specific T cell responses in metastatic breast cancer. Autochthonous transgenic models of breast cancer display spontaneous metastasis in the FVB/NJ mouse strain, yet a lack of knowledge regarding tumor-bound MHC/peptide immune epitopes in this mouse model limits the characterization of tumor-specific T cell responses, and the mechanisms that regulate T cell responses in the metastatic setting. We recently generated the NetH2pan prediction tool for murine class I MHC ligands by building an FVB/NJ H-2q ligand database and combining it with public information from six other murine MHC alleles. Here, we deployed NetH2pan in combination with an advanced proteomics workflow to identify immunogenic T cell epitopes in the MMTV-PyMT transgenic model for metastatic breast cancer. Five unique MHC I/PyMT epitopes were identified. These tumor-specific epitopes were confirmed to be presented by the class I MHC of primary MMTV-PyMT tumors and their T cell immunogenicity was validated. Vaccination using a DNA construct encoding a truncated PyMT protein generated CD8 + T cell responses to these MHC class I/peptide complexes and prevented tumor development. In sum, we have established an MHC-ligand discovery pipeline in FVB/NJ mice, identified and tracked H-2Dq/PyMT neoantigen-specific T cells, and developed a vaccine that prevents tumor development in this metastatic model of breast cancer

Clot formation and thrombin generation parameters.

<p>Mean ± standard deviation</p><p>*<i>P</i><0.05 vs 0 mM cystamine (untreated plasma)</p><p>Clot formation and thrombin generation parameters.</p