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1.
PLoS One ; 19(7): e0306532, 2024.
Article in English | MEDLINE | ID: mdl-38968319

ABSTRACT

This study evaluated the use of endemic enteric coronaviruses polymerase chain reaction (PCR)-negative testing results as an alternative approach to detect the emergence of animal health threats with similar clinical diseases presentation. This retrospective study, conducted in the United States, used PCR-negative testing results from porcine samples tested at six veterinary diagnostic laboratories. As a proof of concept, the database was first searched for transmissible gastroenteritis virus (TGEV) negative submissions between January 1st, 2010, through April 29th, 2013, when the first porcine epidemic diarrhea virus (PEDV) case was diagnosed. Secondly, TGEV- and PEDV-negative submissions were used to detect the porcine delta coronavirus (PDCoV) emergence in 2014. Lastly, encountered best detection algorithms were implemented to prospectively monitor the 2023 enteric coronavirus-negative submissions. Time series (weekly TGEV-negative counts) and Seasonal Autoregressive-Integrated Moving-Average (SARIMA) were used to control for outliers, trends, and seasonality. The SARIMA's fitted and residuals were then subjected to anomaly detection algorithms (EARS, EWMA, CUSUM, Farrington) to identify alarms, defined as weeks of higher TGEV-negativity than what was predicted by models preceding the PEDV emergence. The best-performing detection algorithms had the lowest false alarms (number of alarms detected during the baseline) and highest time to detect (number of weeks between the first alarm and PEDV emergence). The best-performing detection algorithms were CUSUM, EWMA, and Farrington flexible using SARIMA fitted values, having a lower false alarm rate and identified alarms 4 to 17 weeks before PEDV and PDCoV emergences. No alarms were identified in the 2023 enteric negative testing results. The negative-based monitoring system functioned in the case of PEDV propagating epidemic and in the presence of a concurrent propagating epidemic with the PDCoV emergence. It demonstrated its applicability as an additional tool for diagnostic data monitoring of emergent pathogens having similar clinical disease as the monitored endemic pathogens.


Subject(s)
Coronavirus Infections , Porcine epidemic diarrhea virus , Swine Diseases , Transmissible gastroenteritis virus , Animals , Swine , Transmissible gastroenteritis virus/genetics , Transmissible gastroenteritis virus/isolation & purification , Porcine epidemic diarrhea virus/isolation & purification , Porcine epidemic diarrhea virus/genetics , Coronavirus Infections/diagnosis , Coronavirus Infections/veterinary , Coronavirus Infections/virology , Coronavirus Infections/epidemiology , Swine Diseases/virology , Swine Diseases/diagnosis , Retrospective Studies , Gastroenteritis, Transmissible, of Swine/diagnosis , Gastroenteritis, Transmissible, of Swine/virology , Gastroenteritis, Transmissible, of Swine/epidemiology , Polymerase Chain Reaction/methods , Deltacoronavirus/genetics , Deltacoronavirus/isolation & purification , United States/epidemiology
2.
J Am Vet Med Assoc ; 262(1): 109-116, 2024 Jan 01.
Article in English | MEDLINE | ID: mdl-38103389

ABSTRACT

Foreign animal disease (FAD) preparedness is a high priority for state and federal governments to ensure the protection of the nation's livestock industry. Highly contagious diseases such as African swine fever (ASF) have been the focus of recent advancements in FAD preparedness, including the development of disease-specific response plans. At the state level, FAD response plans provide a framework to help ensure a rapid and coordinated response that considers the resources and realities of that state; however, preparing a comprehensive plan requires collaboration across multiple agencies and sectors that can be difficult to operationalize. To initiate systematic state-level ASF response plan writing and identify gaps in preparedness, university and industry stakeholders partnered with the Ohio Department of Agriculture and USDA to develop the Ohio African Swine Fever Response Plan Workshop. A linear planning model was used to implement the workshop in May 2021. All planning and workshop activities were conducted fully virtually, prompted by public health restrictions in response to COVID-19. Sixty-four participants, representing multiple sectors and stakeholder groups including state/federal/industry animal health officials, emergency management, environmental protection, and academia, contributed to the workshop. Spanning 3 days, participants identified current response capabilities and areas requiring additional planning for an effective state-level response. The workshop generated recommendations from a multisectoral perspective for subcommittees tasked with developing standard operating procedures for the Ohio ASF Response Plan. The methodology and resources used to plan, implement, and evaluate the workshop are described to provide a model for state-level response planning.


Subject(s)
African Swine Fever , Swine Diseases , Animals , Swine , African Swine Fever/epidemiology , African Swine Fever/prevention & control , Ohio/epidemiology , Public Health , Livestock
3.
Am J Dermatopathol ; 36(1): e10-3, 2014 Jan.
Article in English | MEDLINE | ID: mdl-23782680

ABSTRACT

Overproduction of a vascular endothelial growth factor secreted by neoplastic cells in some plasma cell neoplasms is postulated to be responsible for the syndrome of polyneuropathy, organomegaly, endocrinopathy, monoclonal protein, and skin changes and the rarer syndrome of adenopathy and extensive skin patch overlying a plasmacytoma. The authors present a case of a 57-year-old man who presented with an erythematous left flank skin patch and subsequent discovery of an underlying 10th rib plasmacytoma with lambda light chain restriction. The tumor was strongly positive for CD31, a marker known to be involved in angiogenesis and cell adhesion. Immunohistochemical studies were initially confounding and later shown to be due to the effects of decalcification procedures. The authors discuss the natural history of this unusual entity and the diagnostic challenges in evaluating this lesion. The authors finally postulate whether strong CD31 expression could be related to paraneoplastic phenomena associated with some plasma cell lesions.


Subject(s)
Lymphatic Diseases/diagnosis , Plasmacytoma/complications , Plasmacytoma/pathology , Skin Diseases/diagnosis , Humans , Lymphatic Diseases/etiology , Male , Middle Aged , Platelet Endothelial Cell Adhesion Molecule-1/metabolism , Skin Diseases/etiology , Syndrome
4.
J Cell Biochem ; 97(6): 1300-16, 2006 Apr 15.
Article in English | MEDLINE | ID: mdl-16329111

ABSTRACT

Metallothioneins (MTs) are a group of cysteine-rich stress response proteins that scavenge reactive oxygen species and heavy metals. Recently, we have shown that MT-I promoter is methylated and suppressed in some solid and liquid tumors and can be robustly activated following treatment with inhibitors of DNA methyltransferase (DNMT) and histone deacetylase (HDAC). Here, we have analyzed MT-I chromatin structure in active, unmethylated (Hepa cells) and in repressed, methylated state (lymphosarcoma cells). Restriction enzyme accessibility assay showed that the MT-I promoter has an open conformation in unmethylated state as opposed to refractory chromatin structure in methylated state. Positioning of nucleosomal arrays on the methylated promoter further confirmed the closed chromatin structure of the methylated promoter. Chromatin immunoprecipitation (ChIP) assay demonstrated that the unmethylated promoter is associated with K9-acetyl, K4-methyl, and S10-phospho histone H3 whereas the methylated promoter is predominantly associated with K9-methyl H3. HP1alpha that recognizes K9-methyl H3 inhibited methylated MT-1 promoter activity whereas closely related HP1gamma repressed the promoter irrespective of its methylation status. Ubiquitously expressed DNA methyltransferase 1 (DNMT1) suppressed MT-I promoter activity irrespective of its methylation status that does not require its catalytic activity. The DNMT1-mediated repression of MT-I promoter was relieved by trichostatin A, an HDAC inhibitor. Among the methyl CpG binding proteins, MBD2 and MBD4 specifically associated with the methylated promoter and inhibited its activity. In contrast, MBD1 and MeCP2 interacted with both promoters and suppressed the promoter activity irrespective of its methylation status. These results demonstrate that the methylated and unmethylated MT-I promoter are differentially regulated by DNA methyltransferase and methyl-CpG binding proteins, and DNMT1 could suppress MT promoter by a transcriptional mechanism independent of its enzymatic function. These studies suggest that the components of epigenetic machinery differentially regulate methylated and unmethylated MT-I gene expression.


Subject(s)
DNA Methylation , Epigenesis, Genetic , Metallothionein/genetics , Methyl-CpG-Binding Protein 2/metabolism , Promoter Regions, Genetic , Repressor Proteins/metabolism , Animals , Catalysis , Chromatin , Chromobox Protein Homolog 5 , Chromosomal Proteins, Non-Histone/genetics , Chromosomal Proteins, Non-Histone/metabolism , Enzyme Inhibitors/metabolism , Enzyme Inhibitors/pharmacology , Histone Deacetylase 1 , Histone Deacetylases/metabolism , Histones/metabolism , Hydroxamic Acids/metabolism , Hydroxamic Acids/pharmacology , Metallothionein/metabolism , Methyl-CpG-Binding Protein 2/genetics , Methyl-CpG-Binding Protein 2/pharmacology , Mice , Models, Genetic , Nucleosomes/metabolism , Repressor Proteins/genetics , Repressor Proteins/pharmacology , Transcription, Genetic , Tumor Cells, Cultured
5.
J Biol Chem ; 278(28): 26216-26, 2003 Jul 11.
Article in English | MEDLINE | ID: mdl-12716893

ABSTRACT

The robust induction of metallothionein-I and II (MT-I and MT-II) genes by several heavy metals such as zinc and cadmium requires the specific transcription factor metal-responsive transcription factor 1 (MTF1). Chromium (VI), a major environmental carcinogen, not only failed to activate these genes but also inhibited their induction by Zn2+ or Cd2+. The heavy metal-induced expression of another MTF1 target gene, zinc transporter 1 (ZnT-1), was also down-regulated by Cr6+. By contrast, the expression of two MTF1-independent Cd2+-inducible genes, heme oxygenase 1 (HO-1) and HSP-70, was not sensitive to Cr6+. Cr6+ did not also affect the expression of housekeeping genes such as GAPDH or beta-actin. Stable cell lines overexpressing variable levels of MTF1, the key transactivator of the MT genes, demonstrated differential resistance toward the inhibitory effect of Cr6+, indicating MTF1 as a target of chromium toxicity. The basal and inducible binding of MTF1 to metal response elements was not affected by treatment of cells with Cr6+. Transient transfection studies showed that the ability of MTF1 to transactivate the MT-I promoter was significantly compromised by Cr6+. The fusion protein consisting of a Gal-4 DNA binding domain and one or more of the three transactivation domains of MTF1, namely the acidic domain, proline-rich domain, and serine-threonine rich domain, activated the GAL-4-driven luciferase gene to different degrees, but all were sensitive to Cr6+. MTF1 null cells were prone to apoptosis after exposure to Zn2+ or Cd2+ that was augmented in presence Cr6+, whereas the onset of apoptosis was significantly delayed in cells overexpressing MTF1.


Subject(s)
Chromium/metabolism , Down-Regulation , Metallothionein/biosynthesis , Metallothionein/genetics , Transcription Factors/metabolism , Transcription, Genetic , Transcriptional Activation , Annexin A5/pharmacology , Apoptosis , Blotting, Northern , Blotting, Western , Cell Line , Chromium/pharmacology , Coloring Agents/pharmacology , DNA Footprinting , DNA-Binding Proteins , HSP70 Heat-Shock Proteins/metabolism , Heme Oxygenase (Decyclizing)/metabolism , Heme Oxygenase-1 , Humans , In Situ Nick-End Labeling , Membrane Proteins , Metals, Heavy/metabolism , Promoter Regions, Genetic , Protein Structure, Tertiary , Recombinant Fusion Proteins/metabolism , Retroviridae/genetics , Reverse Transcriptase Polymerase Chain Reaction , Tetrazolium Salts/pharmacology , Thiazoles/pharmacology , Time Factors , Transfection , Zinc/metabolism , Transcription Factor MTF-1
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