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1.
J Surg Orthop Adv ; 32(3): 182-186, 2023.
Article in English | MEDLINE | ID: mdl-38252606

ABSTRACT

The purpose of this study was to define pediatric orthopaedic transfer criteria for patients coming from a smaller facility to a Level I pediatric trauma center. A 10-question phone survey was utilized for every transfer request. Fifty-eight transfer requests were prospectively collected and retrospectively reviewed. The criteria were based on The American Academy of Pediatrics (AAP) guidelines and the expert opinion of the senior author. The AAP criteria included complex fractures/dislocations and bone and joint infections. The expert opinion criteria included a patient requiring admission to the hospital or a patient needing surgery. All centers requesting transfers were staffed by an on-call board-certified general orthopaedic surgeon with the ability to care for pediatric orthopaedic injuries. Of the 58 transfers, 37 (64%) did not meet transfer criteria; 21 (36%) met transfer criteria. Transfer requests came from Emergency Department (ED) physicians in 25/58 cases (43%), physician assistants in 11/58 (19%), orthopaedic attending physicians in 3/58 (5%), and orthopaedic residents in 3/58 (5%). The orthopaedic surgeon at the referring hospital examined the patient in only six instances (10%) prior to transfer. Of the 58 patients, 18 (31%) required a hospital admission, and 17 (29%) patients were indicated for surgery. In the current study, 64% of pediatric orthopaedic transfers did not meet criteria for an inter-facility hospital to hospital transfer and were potentially avoidable. (Journal of Surgical Orthopaedic Advances 32(3):182-186, 2023).


Subject(s)
Orthopedics , Surgeons , Humans , Child , Pilot Projects , Retrospective Studies , Hospitalization
2.
PLoS One ; 6(10): e26092, 2011.
Article in English | MEDLINE | ID: mdl-22022522

ABSTRACT

Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality in the United States. Recent studies suggest that pericardial adipose tissue (PCAT) secretes inflammatory factors that contribute to the development of CVD. To better characterize the role of PCAT in the pathogenesis of disease, we performed a large-scale unbiased analysis of the transcriptional differences between PCAT and subcutaneous adipose tissue, analysing 53 microarrays across 19 individuals. As it was unknown whether PCAT-secreted factors are produced by adipocytes or cells in the supporting stromal fraction, we also sought to identify differentially expressed genes in isolated pericardial adipocytes vs. isolated subcutaneous adipocytes. Using microarray analysis, we found that: 1) pericardial adipose tissue and isolated pericardial adipocytes both overexpress atherosclerosis-promoting chemokines and 2) pericardial and subcutaneous fat depots, as well as isolated pericardial adipocytes and subcutaneous adipocytes, express specific patterns of homeobox genes. In contrast, a core set of lipid processing genes showed no significant overlap with differentially expressed transcripts. These depot-specific homeobox signatures and transcriptional profiles strongly suggest different functional roles for the pericardial and subcutaneous adipose depots. Further characterization of these inter-depot differences should be a research priority.


Subject(s)
Gene Expression Profiling , Immunity/genetics , Pattern Recognition, Automated , Pericardium/immunology , Subcutaneous Fat/immunology , Transcription, Genetic , Adipocytes/metabolism , Cell Separation , Chemokines/genetics , Chemokines/metabolism , Cluster Analysis , Homeodomain Proteins/genetics , Homeodomain Proteins/metabolism , Humans , Molecular Sequence Annotation , Polymerase Chain Reaction , Reproducibility of Results , Up-Regulation/genetics
3.
Sci Rep ; 1: 167, 2011.
Article in English | MEDLINE | ID: mdl-22355682

ABSTRACT

Here we report the generation and characterization of 84 mouse ES cell lines with doxycycline-controllable transcription factors (TFs) which, together with the previous 53 lines, cover 7-10% of all TFs encoded in the mouse genome. Global gene expression profiles of all 137 lines after the induction of TFs for 48 hrs can associate each TF with the direction of ES cell differentiation, regulatory pathways, and mouse phenotypes. These cell lines and microarray data provide building blocks for a variety of future biomedical research applications as a community resource.


Subject(s)
Embryonic Stem Cells/cytology , Embryonic Stem Cells/metabolism , Transcription Factors/biosynthesis , Transcription Factors/genetics , Animals , Cell Differentiation , Cell Engineering/methods , Cell Line , Gene Expression Profiling , Genetic Engineering/methods , Mice , Recombinant Proteins/biosynthesis , Recombinant Proteins/genetics
4.
Cell Stem Cell ; 5(4): 420-33, 2009 Oct 02.
Article in English | MEDLINE | ID: mdl-19796622

ABSTRACT

To examine transcription factor (TF) network(s), we created mouse ESC lines, in each of which 1 of 50 TFs tagged with a FLAG moiety is inserted into a ubiquitously controllable tetracycline-repressible locus. Of the 50 TFs, Cdx2 provoked the most extensive transcriptome perturbation in ESCs, followed by Esx1, Sox9, Tcf3, Klf4, and Gata3. ChIP-Seq revealed that CDX2 binds to promoters of upregulated target genes. By contrast, genes downregulated by CDX2 did not show CDX2 binding but were enriched with binding sites for POU5F1, SOX2, and NANOG. Genes with binding sites for these core TFs were also downregulated by the induction of at least 15 other TFs, suggesting a common initial step for ESC differentiation mediated by interference with the binding of core TFs to their target genes. These ESC lines provide a fundamental resource to study biological networks in ESCs and mice.


Subject(s)
Embryonic Stem Cells/cytology , Embryonic Stem Cells/metabolism , Gene Regulatory Networks/physiology , Transcription Factors/physiology , Animals , Basic Helix-Loop-Helix Transcription Factors/genetics , Basic Helix-Loop-Helix Transcription Factors/metabolism , Basic Helix-Loop-Helix Transcription Factors/physiology , CDX2 Transcription Factor , Cell Differentiation/genetics , Cell Differentiation/physiology , Cell Line , Chromatin Immunoprecipitation , GATA3 Transcription Factor/genetics , GATA3 Transcription Factor/metabolism , GATA3 Transcription Factor/physiology , Gene Regulatory Networks/genetics , Homeodomain Proteins/genetics , Homeodomain Proteins/metabolism , Homeodomain Proteins/physiology , Immunoprecipitation , Kruppel-Like Factor 4 , Kruppel-Like Transcription Factors/genetics , Kruppel-Like Transcription Factors/metabolism , Kruppel-Like Transcription Factors/physiology , Mice , Oligonucleotide Array Sequence Analysis , Proto-Oncogene Proteins/genetics , Proto-Oncogene Proteins/metabolism , Proto-Oncogene Proteins/physiology , SOX9 Transcription Factor/genetics , SOX9 Transcription Factor/metabolism , SOX9 Transcription Factor/physiology , Transcription Factors/genetics , Transcription Factors/metabolism
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