Invasive mold infections following combat-related injuries.

BACKGROUND: Major advances in combat casualty care have led to increased survival of patients with complex extremity trauma. Invasive fungal wound infections (IFIs) are an uncommon, but increasingly recognized, complication following trauma that require greater understanding of risk factors and clinical findings to reduce morbidity. METHODS: The patient population includes US military personnel injured during combat from June 2009 through December 2010. Case definition required wound necrosis on successive debridements with IFI evidence by histopathology and/or microbiology (Candida spp excluded). Case finding and data collected through the Trauma Infectious Disease Outcomes Study utilized trauma registry, hospital records or operative reports, and pathologist review of histopathology specimens. RESULTS: A total of 37 cases were identified: proven (angioinvasion, n=20), probable (nonvascular tissue invasion, n=4), and possible (positive fungal culture without histopathological evidence, n=13). In the last quarter surveyed, rates reached 3.5% of trauma admissions. Common findings include blast injury (100%) during foot patrol (92%) occurring in southern Afghanistan (94%) with lower extremity amputation (80%) and large volume blood transfusion (97.2%). Mold isolates were recovered in 83% of cases (order Mucorales, n=16; Aspergillus spp, n=16; Fusarium spp, n=9), commonly with multiple mold species among infected wounds (28%). Clinical outcomes included 3 related deaths (8.1%), frequent debridements (median, 11 cases), and amputation revisions (58%). CONCLUSIONS: IFIs are an emerging trauma-related infection leading to significant morbidity. Early identification, using common characteristics of patient injury profile and tissue-based diagnosis, should be accompanied by aggressive surgical and antifungal therapy (liposomal amphotericin B and a broad-spectrum triazole pending mycology results) among patients with suspicious wounds.

Analyzing 2D gel images using a two-component empirical Bayes model.

BACKGROUND: Two-dimensional polyacrylomide gel electrophoresis (2D gel, 2D PAGE, 2-DE) is a powerful tool for analyzing the proteome of a organism. Differential analysis of 2D gel images aims at finding proteins that change under different conditions, which leads to large-scale hypothesis testing as in microarray data analysis. Two-component empirical Bayes (EB) models have been widely discussed for large-scale hypothesis testing and applied in the context of genomic data. They have not been implemented for the differential analysis of 2D gel data. In the literature, the mixture and null densities of the test statistics are estimated separately. The estimation of the mixture density does not take into account assumptions about the null density. Thus, there is no guarantee that the estimated null component will be no greater than the mixture density as it should be. RESULTS: We present an implementation of a two-component EB model for the analysis of 2D gel images. In contrast to the published estimation method, we propose to estimate the mixture and null densities simultaneously using a constrained estimation approach, which relies on an iteratively re-weighted least-squares algorithm. The assumption about the null density is naturally taken into account in the estimation of the mixture density. This strategy is illustrated using a set of 2D gel images from a factorial experiment. The proposed approach is validated using a set of simulated gels. CONCLUSIONS: The two-component EB model is a very useful for large-scale hypothesis testing. In proteomic analysis, the theoretical null density is often not appropriate. We demonstrate how to implement a two-component EB model for analyzing a set of 2D gel images. We show that it is necessary to estimate the mixture density and empirical null component simultaneously. The proposed constrained estimation method always yields valid estimates and more stable results. The proposed estimation approach proposed can be applied to other contexts where large-scale hypothesis testing occurs.

Antimicrobial prescribing practices following publication of guidelines for the prevention of infections associated with combat-related injuries.

BACKGROUND: Timely and limited antibiotic prophylaxis (postinjury antimicrobial therapy) targeting specific traumatic injuries is a well-recognized measure to lessen posttraumatic infection. Modern military combat injuries raise significant challenges because of complex multiple injuries and limited data derived directly from well-controlled trials to base recommendations. Expert consensus review of available evidence led to published guidance for selection and duration of antimicrobial therapy for combat-related trauma infection prevention. This analysis evaluates antibiotic-prescribing practices by military physicians in the operational theater relative to the published guidance. METHODS: Trauma history and infectious disease-specific inpatient care information is captured through the Joint Theater Trauma Registry along with a supplemental infectious disease module. Injury patterns are classified based on documented International Classification of Diseases-9th Revision codes with a composite assessment of each patient's injury pattern. Antimicrobial use categorized as prophylaxis is prescribed within the first 48 hours postinjury. Adherence to published guidance is reported along with patient characteristics and injury severity to assess for potential explanations of nonadherence. RESULTS: During June to November 2009, 75% of the 610 eligible trauma patients received antimicrobial prophylaxis. Adherence to the recommended antibiotic agent on the day of injury was in the range of 46% to 50% for the most common extremity injury patterns and <10% in penetrating abdominal injuries. Antibiotics were given in 39% of patients sustaining injuries that are recommendations to not receive antimicrobial prophylaxis. CONCLUSIONS: This first evaluation of combat trauma-related antibiotic prophylaxis shows adherence levels comparable or superior to reported rates in civilian settings despite the austere, frequently mass casualty environment. Areas for interval surveillance and education-based strategies for improved adherence to practice guidance are identified.

Region-based Statistical Analysis of 2D PAGE Images.

A new comprehensive procedure for statistical analysis of two-dimensional polyacrylamide gel electrophoresis (2D PAGE) images is proposed, including protein region quantification, normalization and statistical analysis. Protein regions are defined by the master watershed map that is obtained from the mean gel. By working with these protein regions, the approach bypasses the current bottleneck in the analysis of 2D PAGE images: it does not require spot matching. Background correction is implemented in each protein region by local segmentation. Two-dimensional locally weighted smoothing (LOESS) is proposed to remove any systematic bias after quantification of protein regions. Proteins are separated into mutually independent sets based on detected correlations, and a multivariate analysis is used on each set to detect the group effect. A strategy for multiple hypothesis testing based on this multivariate approach combined with the usual Benjamini-Hochberg FDR procedure is formulated and applied to the differential analysis of 2D PAGE images. Each step in the analytical protocol is shown by using an actual dataset. The effectiveness of the proposed methodology is shown using simulated gels in comparison with the commercial software packages PDQuest and Dymension. We also introduce a new procedure for simulating gel images.

Generalized confidence intervals for ratios of regression coefficients with applications to bioassays.

The problem of constructing a confidence interval for the ratio of two regression coefficients is addressed in the context of multiple regression. The concept of a Generalized Confidence Interval is used, and the resulting confidence interval is shown to perform well in terms of coverage probability. The proposed methodology always results in an interval, unlike the confidence region generated from Fieller's theorem. The procedure can easily be implemented for parallel-line assays, slope-ratio assays, and quantal assays under a probit model. Furthermore, this approach can also be extended to compute confidence intervals based on data from multiple bioassays. The results are illustrated using several examples.

Associations between cigarette smoking and mitochondrial DNA abnormalities in buccal cells.

DNA alterations in mitochondria are believed to play a role in carcinogenesis and are found in smoking-related cancers. We sought to replicate earlier findings for the association of smoking with increased mitochondrial DNA (mtDNA) content in buccal cells and further hypothesized that there would be an increased number of somatic mtDNA mutations in smokers. Buccal cells and blood lymphocytes were studied from 42 healthy smokers and 30 non-smokers. Temporal temperature gradient electrophoresis screening and sequencing was used to identify mtDNA mutations. The relative mtDNA content was determined by real-time polymerase chain reaction. Assuming that mtDNA in lymphocytes represents the inherited sequence, it was found that 31% of smokers harbored at least one somatic mtDNA mutation in buccal cells with a total of 39 point mutations and 8 short deletions/insertions. In contrast, only 23% of non-smokers possessed mutations with a total of 10 point mutations and no insertions/deletions detected. mtDNA somatic mutation density was higher in smokers (0.68/10 000 bp per person) than in non-smokers (0.2/10 000 bp per person). There was a statistically significant difference in the pattern of homoplasmy and heteroplasmy mutation changes between smokers and non-smokers. Whereas non-smokers had the most mutations in D-loop region (70%), smokers had mutations in both messenger RNA encoding gene (36%) and D-loop region (49%). The mean ratio of buccal cells to lymphocytes of mtDNA content in smokers was increased (2.81) when compared with non-smokers (0.46). These results indicate that cigarette smoke exposure affects mtDNA in buccal cells of smokers. Additional studies are needed to determine if mitochondrial mutation assays provide new or complementary information for estimating cigarette smoke exposure at the cellular level or as a cancer risk biomarker.

Dynamic interactions of cortactin and membrane type 1 matrix metalloproteinase at invadopodia: defining the stages of invadopodia formation and function.

Metastatic tumor cells that actively migrate and invade surrounding tissues rely on invadopodia to degrade extracellular matrix (ECM) barriers. Invadopodia are membrane protrusions that localize enzymes required for ECM degradation. Little is known about the formation, function, and regulation of invadopodia. Here, we show that invadopodia have two distinct aspects: (a) structural for organizing the cellular actin cytoskeleton to form membrane protrusions and (b) functional for using proteolytic enzyme(s) for ECM degradation. Small interfering RNA (siRNA) inhibition established that organization of invadopodia structure requires cortactin, whereas protease inhibitor studies identified membrane type 1 matrix metalloproteinase (MT1-MMP) as the key invadopodial enzyme responsible for gelatin matrix degradation in the breast carcinoma cell line MDA-MB-231. The inhibition of invadopodial structure assembly by cortactin depletion resulted in a block of matrix degradation due to failure of invadopodia formation. Either protease inhibition or MT1-MMP siRNA depletion moderately decreased the formation of invadopodial structures that were identified as actin-cortactin accumulations at the ventral cell membrane adherent to matrix. The invadopodia that were able to form upon MT1-MMP inhibition or depletion retained actin-cortactin accumulations but were unable to degrade matrix. Examination of cells at different time points as well as live-cell imaging revealed four distinct invadopodial stages: membrane cortactin aggregation at membranes adherent to matrix, MT1-MMP accumulation at the region of cortactin accumulation, matrix degradation at the invadopodia region, and subsequent cortactin dissociation from the area of continued MT1-MMP accumulation associated with foci of degraded matrix. Based on these results, we propose a stepwise model of invadopodia formation and function.

Protein image alignment via piecewise affine transformations.

We present a new approach for aligning families of 2D gels. Instead of choosing one of the gels as reference and performing a pairwise alignment, we construct an ideal gel that is representative of the entire family and obtain a set of piecewise affine transformations that optimally align each gel of the family to the ideal gel. The coefficients defining the transformations as well as the ideal landmarks are obtained as the solution of a large-scale quadratic programming problem that can be solved efficiently by interior-point methods.

Changes in human bladder epithelial cell gene expression associated with interstitial cystitis or antiproliferative factor treatment.

Explanted bladder epithelial cells from patients with interstitial cystitis (IC) have been shown to differ from explanted control cells in several ways, including production of an antiproliferative factor (APF), altered production of certain epithelial growth factors, and rate of proliferation. To better understand the role of the APF in abnormal bladder epithelial cell proliferation in IC, we studied gene expression patterns in normal bladder epithelial cells treated with APF vs. mock APF and compared them to expression patterns in IC vs. normal cells using microarray analysis. Oligo-dT-primed total cellular RNA was labeled with [(33)P]dCTP and hybridized to GeneFilter GF211 microarray membranes (Research Genetics) containing cDNA for 3,964 human genes. Thirteen genes that function in epithelial cell proliferation or differentiation were consistently differentially expressed in both IC (compared with control) and APF-treated (compared with mock APF-treated) normal bladder epithelial cells. The general pattern of gene expression in IC and APF-treated cells suggested a less proliferative phenotype, with increased expression of E-cadherin, phosphoribosylpyrophosphate synthetase-associated protein 39, and SWI/SNF complex 170-kDa subunit, and decreased expression of vimentin, alpha2-integrin, alpha1-catenin, cyclin D1, and jun N-terminal kinase 1; these findings were confirmed for the structural gene products (E-cadherin, vimentin, alpha2-integrin, and alpha-catenin) by immunohistochemistry. These results are compatible with the previously noted decreased proliferation rate of IC and APF-treated normal cells, and indicate that the mechanism whereby APF inhibits cell proliferation may involve both downregulation of genes that stimulate cell proliferation along with upregulation of genes that inhibit cell growth.

Differential analysis of 2D gel images.

Two-dimensional polyacrylomide gel electrophoresis remains a popular and powerful tool for identifying proteins that are differentially expressed across treatment conditions. Due to the overwhelming number of proteins and the tremendous variation shown in gel images, the differential analysis of 2D gel images is challenging. While commercial software packages are available for such analysis, they require considerable human intervention for spot detection and matching. Moreover, the quantitative comparison across groups of gels is based on simple classical tests that often do not fully account for the experimental design. We developed software with a graphical user interface, RegStatGel, which implements a novel statistical algorithm for identifying differentially expressed proteins. Unlike current commercial software packages, it is free, open-source, easy to use and almost fully automated. It also provides more advanced statistical tools. More importantly, by using a master watershed map, RegStatGel bypasses the spot-matching procedure, which is a time-consuming bottleneck in gel image analysis. The software is freely available for academic use and has been tested in Matlab 7.01 under Windows XP. Detailed instructions on how to use RegStatGel to analyze 2D gel images are provided.

RegStatGel: proteomic software for identifying differentially expressed proteins based on 2D gel images.

UNLABELLED: Image analysis of two-dimensional gel electrophoresis is a key step in proteomic workflow for identifying proteins that change under different experimental conditions. Since there are usually large amount of proteins and variations shown in the gel images, the use of software for analysis of 2D gel images is inevitable. We developed open-source software with graphical user interface for differential analysis of 2D gel images. The user-friendly software, RegStatGel, contains fully automated as well as interactive procedures. It was developed and has been tested under Matlab 7.01. AVAILABILITY: The database is available for free at http://www.mediafire.com/FengLi/2DGelsoftware.

Decreased risk of squamous cell carcinoma of the head and neck in users of nonsteroidal anti-inflammatory drugs.

We evaluated the chemopreventive effect of nonsteroidal anti-inflammatory drug (NSAID) use in head and neck squamous cell carcinomas (HNSCC) by conducting a case-control study based on the administration of a standardized questionnaire to 71 incident HNSCC cases and same number of healthy controls. NSAID use was associated with a 75% reduction in risk of developing HNSCC. A significant risk reduction was noted in association with frequency of NSAID use. Restricting the analysis to aspirin users revealed a significant 90% reduction in risk of developing HNSCC. This study provides evidence for a significant reduction in the risk of developing HNSCC in users of NSAIDs, and specifically aspirin users.

The proapoptotic molecule BLID interacts with Bcl-XL and its downregulation in breast cancer correlates with poor disease-free and overall survival.

PURPOSE: BLID is a BH3-like motif containing apoptotic member of the Bcl-2 family of proteins. This study was designed to investigate the mechanism of BLID-induced apoptosis and to assess the significance of BLID expression in breast cancer. EXPERIMENTAL DESIGN: The interaction between BLID and Bcl-X(L) was examined using in vitro transcription/translation, coimmunoprecipitation, and immunoflourescence assays. The relationship between BLID mRNA expression and pathologic measures in breast cancer specimens (n = 55) was examined using the publicly available ONCOMINE microarray database. Immunohistochemistry was done using formalin-fixed, paraffin-embedded sections of 148 cases of invasive ductal breast carcinomas (IDC) and 58 cases of invasive lobular breast carcinomas, and breast tissue microarrays representing additional 437 cases (>85% IDC) with associated clinicopathologic database and long-term clinical follow-up (median 7 years). RESULTS: BLID was found to interact with Bcl-X(L), and the binding was enhanced in cancer cells exposed to doxorubicin or cisplatin. Exogenous expression of BLID correlated with activation of Bax and an increase in cytosolic cytochrome c. BLID mRNA expression was significantly reduced in grade 3 relative to grade 1 and 2 breast cancer (P = 0.023). Cytoplasmic BLID immunoreactivity was absent in IDC compared with invasive lobular breast carcinoma (P < 0.001). Lack of BLID expression was associated with younger age (median 40 years), African American ethnicity, tumor size, and triple-negative breast cancer (estrogen receptor negative, progesterone receptor negative, and human epidermal growth factor receptor 2 negative; all P < 0.005). Significant correlations were observed between BLID negativity and declines in overall, cause-specific, and local relapse-free survival (all P < 0.03). Multivariate analysis indicated that BLID is an independent prognostic factor of distant metastasis-free survival (hazard ratio, 0.302; 95% confidence interval, 0.160-0.570, P = 0.0002). CONCLUSION: BLID is a new binding partner of Bcl-X(L) and a significant prognostic factor in breast cancer.

Tumor suppressor function of Syk in human MCF10A in vitro and normal mouse mammary epithelium in vivo.

The normal function of Syk in epithelium of the developing or adult breast is not known, however, Syk suppresses tumor growth, invasion, and metastasis in breast cancer cells. Here, we demonstrate that in the mouse mammary gland, loss of one Syk allele profoundly increases proliferation and ductal branching and invasion of epithelial cells through the mammary fat pad during puberty. Mammary carcinomas develop by one year. Syk also suppresses proliferation and invasion in vitro. siRNA or shRNA knockdown of Syk in MCF10A breast epithelial cells dramatically increased proliferation, anchorage independent growth, cellular motility, and invasion, with formation of functional, extracellular matrix-degrading invadopodia. Morphological and gene microarray analysis following Syk knockdown revealed a loss of luminal and differentiated epithelial features with epithelial to mesenchymal transition and a gain in invadopodial cell surface markers CD44, CD49F, and MMP14. These results support the role of Syk in limiting proliferation and invasion of epithelial cells during normal morphogenesis, and emphasize the critical role of Syk as a tumor suppressor for breast cancer. The question of breast cancer risk following systemic anti-Syk therapy is raised since only partial loss of Syk was sufficient to induce mammary carcinomas.

Circulating tumor cells: a useful predictor of treatment efficacy in metastatic breast cancer.

PURPOSE: Five or more circulating tumor cells (CTCs) per 7.5 mL of blood predicts for poorer progression-free survival (PFS) in patients with metastatic breast cancer (MBC). We conducted a prospective study to demonstrate that CTC results correlate strongly with radiographic disease progression at the time of and in advance of imaging. PATIENTS AND METHODS: Serial CTC levels were obtained in patients starting a new treatment regimen for progressive, radiographically measurable MBC. Peripheral blood was collected for CTC enumeration at baseline and at 3- to 4-week intervals. Clinical outcomes were based on radiographic studies performed in 9- to 12-week intervals. RESULTS: Sixty-eight patients were evaluable for the CTC-imaging correlations, and 74 patients were evaluable for the PFS analysis. Median follow-up was 13.3 months. A statistically significant correlation was demonstrated between CTC levels and radiographic disease progression in patients receiving chemotherapy or endocrine therapy. This correlation applied to CTC results obtained at the time of imaging (odds ratio [OR], 6.3), 3 to 5 weeks before imaging (OR, 3.1), and 7 to 9 weeks before imaging (OR, 4.9). Results from analyses stratified by type of therapy remained statistically significant. Shorter PFS was observed for patients with five or more CTCs at 3 to 5 weeks and at 7 to 9 weeks after the start of treatment. CONCLUSION: We provide, to our knowledge, the first evidence of a strong correlation between CTC results and radiographic disease progression in patients receiving chemotherapy or endocrine therapy for MBC. These findings support the role of CTC enumeration as an adjunct to standard methods of monitoring disease status in MBC.

Independent component analysis of 2-D electrophoresis gels.

We present a novel application of independent component analysis (ICA), an exploratory data analysis technique, to two-dimensional electrophoresis (2-DE) gels, which have been used to analyze differentially expressed proteins across groups. Unlike currently used pixel-wise statistical tests, ICA is a data-driven approach that utilizes the information contained in the entire gel data. We also apply ICA on wavelet-transformed 2-DE gels to address the high dimensionality and noise problems typically found in 2-DE gels. Also, we use an analysis-of-variance (ANOVA) approach as a benchmark for comparison. Using simulated data, we show that ICA detects the group differences accurately in both the spatial and wavelet domains. We also apply these techniques to real 2-DE gels. ICA proves to be much faster than ANOVA, and unlike ANOVA it does not depend on the selection of a threshold. Application of principal component analysis reduces the dimensionality and tends to improve the performance by reducing the noise.

Stepwise detection of recombination breakpoints in sequence alignments.

MOTIVATION: We propose a stepwise approach to identify recombination breakpoints in a sequence alignment. The approach can be applied to any recombination detection method that uses a permutation test and provides estimates of breakpoints. RESULTS: We illustrate the approach by analyses of a simulated dataset and alignments of real data from HIV-1 and human chromosome 7. The presented simulation results compare the statistical properties of one-step and two-step procedures. More breakpoints are found with a two-step procedure than with a single application of a given method, particularly for higher recombination rates. At higher recombination rates, the additional breakpoints were located at the cost of only a slight increase in the number of falsely declared breakpoints. However, a large proportion of breakpoints still go undetected. AVAILABILITY: A makefile and C source code for phylogenetic profiling and the maximum chi2 method, tested with the gcc compiler on Linux and WindowsXP, are available at http://stat-db.stat.sfu.ca/stepwise/ CONTACT: jgraham@stat.sfu.ca.

Variability in the human immunodeficiency virus type 1 gp120 Env protein linked to phenotype-associated changes in the V3 loop.

Isolates of human immunodeficiency virus type 1 (HIV-1) are classified according to the chemokine receptor (coreceptor) used in conjunction with CD4 to target and enter cells: viruses using CCR5 and CXCR4 are classified as R5 and X4, respectively. The major determinant of entry-related HIV-1 phenotypes is known to reside in the third variable region of gp120 (V3). It is clear, however, that positions outside of V3 play some role in influencing phenotype, although marked context dependence and extensive variability among HIV-1 isolates have made the identification of these positions difficult. We used the presence of previously described substitutions in V3 to classify a large set of HIV-1 subtype B gp120 sequences available in public databases as X4-like or R5-like. Using these classifications, we searched for positions outside of V3 where either amino acid composition or variability differed significantly among sequences of different inferred phenotypes. Our approach took the epidemiological relationships among sequences into account. A cluster of positions linked to changes in V3 was identified between amino acids 190 and 204 of gp120, immediately C-terminal of V2; changes at position 440 in C4 were also linked to inferred phenotype. Structural data place these positions at the coreceptor-binding face of gp120 in a surface-exposed location. We also noted a significant increase in net positive charge in a highly variable region of V2. This study both confirms previous observations and predicts specific positions that contribute to a functional relationship between V3, V2, and C4.