Owen D. Solberg

Balancing selection and heterogeneity across the classical human leukocyte antigen loci: a meta-analytic review of 497 population studies

This paper presents a meta-analysis of high-resolution human leukocyte antigen (HLA) allele frequency data describing 497 population samples. Most of the datasets were compiled from studies published in eight journals from 1990 to 2007; additional datasets came from the International Histocompatibility Workshops and from the AlleleFrequencies.net database. In all, these data represent approximately 66,800 individuals from throughout the world, providing an opportunity to observe trends that may not have been evident at the time the data were originally analyzed, especially with regard to the relative importance of balancing selection among the HLA loci. Population genetic measures of allele frequency distributions were summarized across populations by locus and geographic region. A role for balancing selection maintaining much of HLA variation was confirmed. Further, the breadth of this meta-analysis allowed the ranking of the HLA loci, with DQA1 and HLA-C showing the strongest balancing selection and DPB1 being compatible with neutrality. Comparisons of the allelic spectra reported by studies since 1990 indicate that most of the HLA alleles identified since 2000 are very-low-frequency alleles. The literature-based allele-count data, as well as maps summarizing the geographic distributions for each allele, are available online.

Analysis of a Uropathogenic Escherichia coli Clonal Group by Multilocus Sequence Typing

ABSTRACT Although many strain typing methods exist for pathogenic Escherichia coli, most have drawbacks in terms of resolving power, interpretability, or scalability. For this reason, multilocus sequence typing (MLST) is an appealing alternative. However, its applicability to different pathogens in specific epidemiologic contexts is not well understood. Here, we applied a previously established MLST method based on housekeeping genes to a well-characterized collection of uropathogenic E. coli isolates to compare the discriminatory ability of this procedure with that of enterobacterial repeat intergenic consensus (ERIC2) PCR, serogrouping, and pulsed-field gel electrophoresis (PFGE). Among 45 E. coli isolates studied, 17 different multilocus sequence types (ST) were identified. One MLST group (designated ST69 complex) was comprised of 22 isolates, all belonging to uropathogenic and bacteremic E. coli strains previously defined as clonal group A (CgA) by ERIC2 PCR. The ST69 strains contained five different serogroups and 14 PFGE types. ERIC2 PCR CgA strains belonging to different MLST groups were also identified. Interestingly, one cow E. coli isolate, previously shown by PFGE to be closely related to a human uropathogenic CgA strain, was found to cluster with the ST69 strains. All of the other animal and environmental CgA isolates had different MLST profiles. The discriminatory power of this MLST method based on housekeeping genes appears to be higher than that of ERIC2 PCR but lower than that of PFGE for epidemiologic study of uropathogenic E. coli.

Calcium-activated chloride channel TMEM16A modulates mucin secretion and airway smooth muscle contraction

Mucous cell hyperplasia and airway smooth muscle (ASM) hyperresponsiveness are hallmark features of inflammatory airway diseases, including asthma. Here, we show that the recently identified calcium-activated chloride channel (CaCC) TMEM16A is expressed in the adult airway surface epithelium and ASM. The epithelial expression is increased in asthmatics, particularly in secretory cells. Based on this and the proposed functions of CaCC, we hypothesized that TMEM16A inhibitors would negatively regulate both epithelial mucin secretion and ASM contraction. We used a high-throughput screen to identify small-molecule blockers of TMEM16A-CaCC channels. We show that inhibition of TMEM16A-CaCC significantly impairs mucus secretion in primary human airway surface epithelial cells. Furthermore, inhibition of TMEM16A-CaCC significantly reduces mouse and human ASM contraction in response to cholinergic agonists. TMEM16A-CaCC blockers, including those identified here, may positively impact multiple causes of asthma symptoms.

Characterization of novel VP7, VP4, and VP6 genotypes of a previously untypeable group A rotavirus.

Rotavirus is the most common cause of acute gastroenteritis among infants and young children throughout the world, but rotavirus cases in developing countries account for nearly all of the approximately 600,000 annual deaths. We studied the epidemiology of rotavirus in 22 rural communities in northern coastal Ecuador over a five-year period. From 250 rotavirus positive stool specimens, the percentage that could not be RT-PCR genotyped for VP4 and VP7 was 77% and 63%, respectively. The possibility of sample degradation was considered but discounted after an experimental examination of rotavirus stability and EM visualization of rotavirus-like particles in several untypeable samples. Finally, alternate primers were used to amplify Ecu534, a sample that was untypeable using most published VP4 and VP7 primers. Characterization of the VP7, VP4, and VP6 full gene segments revealed novel genotypes and nucleotide mismatches with most published primer sequences. When considered with other findings, our results suggest that primer mismatch may be a widespread cause of genotyping failure, and might be particularly problematic in countries with greater rotavirus diversity. The novel sequences described in this study have been given GenBank accession numbers EU805775 (VP7), EU805773 (VP4), EU805774 (VP6) and the RCWG has assigned them novel genotypes G20P[28]I13, respectively.

Airway Epithelial miRNA Expression Is Altered in Asthma

RATIONALE Changes in airway epithelial cell differentiation, driven in part by IL-13, are important in asthma. Micro-RNAs (miRNAs) regulate cell differentiation in many systems and could contribute to epithelial abnormalities in asthma. OBJECTIVES To determine whether airway epithelial miRNA expression is altered in asthma and identify IL-13-regulated miRNAs. METHODS We used miRNA microarrays to analyze bronchial epithelial brushings from 16 steroid-naive subjects with asthma before and after inhaled corticosteroids, 19 steroid-using subjects with asthma, and 12 healthy control subjects, and the effects of IL-13 and corticosteroids on cultured bronchial epithelial cells. We used quantitative polymerase chain reaction to confirm selected microarray results. MEASUREMENTS AND MAIN RESULTS Most (12 of 16) steroid-naive subjects with asthma had a markedly abnormal pattern of bronchial epithelial miRNA expression by microarray analysis. Compared with control subjects, 217 miRNAs were differentially expressed in steroid-naive subjects with asthma and 200 in steroid-using subjects with asthma (false discovery rate < 0.05). Treatment with inhaled corticosteroids had modest effects on miRNA expression in steroid-naive asthma, inducing a statistically significant (false discovery rate < 0.05) change for only nine miRNAs. qPCR analysis confirmed differential expression of 22 miRNAs that were highly differentially expressed by microarrays. IL-13 stimulation recapitulated changes in many differentially expressed miRNAs, including four members of the miR-34/449 family, and these changes in miR-34/449 family members were resistant to corticosteroids. CONCLUSIONS Dramatic alterations of airway epithelial cell miRNA levels are a common feature of asthma. These alterations are only modestly corrected by inhaled corticosteroids. IL-13 effects may account for some of these alterations, including repression of miR-34/449 family members that have established roles in airway epithelial cell differentiation. Clinical trial registered with www.clinicaltrials.gov (NCT 00595153).

Origin of Class 1 and 2 Integrons and Gene Cassettes in a Population-Based Sample of Uropathogenic Escherichia coli

ABSTRACT The prevalence of urinary tract infections (UTI) caused by trimethoprim-sulfamethoxazole (TMP-SMX)-resistant Escherichia coli is increasing and varies geographically in the United States. Recent community-based UTI studies have demonstrated geographic clustering of an Escherichia coli clonal group, suggesting occurrence of a community outbreak of UTI. A large proportion of this clonal group (designated CgA) isolated from women in a California college community was found to be resistant to TMP-SMX. We wished to determine if the acquisition of TMP-SMX resistance by CgA occurred before or after the CgA strains were introduced into this community. Between October 1999 and January 2000 and between October 2000 and January 2001, 482 E. coli isolates were consecutively collected from the urine samples of women with UTI at a student health clinic and analyzed for determinants of TMP-SMX resistance. In particular, the distribution of integrons harboring resistance cassettes for TMP-SMX (dfr) was examined. Among 95 TMP-SMX-resistant isolates, 68 and 27 isolates carried class 1 and class 2 integrons, respectively. A class 1 integron was found in 25 (93%) of 27 TMP-SMX-resistant CgA isolates but in only 43 (63%) of 68 TMP-SMX-resistant non-CgA isolates (P < 0.001) and in none of 44 TMP-SMX-susceptible E. coli isolates (P < 0.0001). CgA strains carried only a single arrangement of class 1 gene cassettes (dfrA17-aadA5), while the non-clonal group strains carried nine different cassette arrangements. These results support the idea that CgA strains acquired their resistance at a common site prior to their spread to the college community.

Sarcoidosis Blood Transcriptome Reflects Lung Inflammation and Overlaps with Tuberculosis

RATIONALE Sarcoidosis is a granulomatous disease of unknown etiology, although M. tuberculosis may play a role in the pathogenesis. The traditional view holds that inflammation in sarcoidosis is compartmentalized to involved organs. OBJECTIVES To determine whether whole blood gene expression signatures reflect inflammatory pathways in the lung in sarcoidosis and whether these signatures overlap with tuberculosis. METHODS We analyzed transcriptomic data from blood and lung biopsies in sarcoidosis and compared these profiles with blood transcriptomic data from tuberculosis and other diseases. MEASUREMENTS AND MAIN RESULTS Applying machine learning algorithms to blood gene expression data, we built a classifier that distinguished sarcoidosis from health in derivation and validation cohorts (92% sensitivity, 92% specificity). The most discriminative genes were confirmed by quantitative PCR and correlated with disease severity. Transcript profiles significantly induced in blood overlapped with those in lung biopsies and identified shared dominant inflammatory pathways (e.g., Type-I/II interferons). Sarcoidosis and tuberculosis shared more overlap in blood gene expression compared with other diseases using the 86-gene signature reported to be specific for tuberculosis and the sarcoidosis signature presented herein, although reapplication of machine learning algorithms could identify genes specific for sarcoidosis. CONCLUSIONS These data indicate that blood transcriptome analysis provides a noninvasive method for identifying inflammatory pathways in sarcoidosis, that these pathways may be leveraged to complement more invasive procedures for diagnosis or assessment of disease severity, and that sarcoidosis and tuberculosis share overlap in gene regulation of specific inflammatory pathways.

The changing prevalence of drug-resistant Escherichia coli clonal groups in a community: evidence for community outbreaks of urinary tract infections

A multidrug-resistant clonal group (CgA) of Escherichia coli was shown to cause half of all trimethoprim-sulphamethoxazole (TMP-SMZ)-resistant urinary tract infections (UTIs) in a college community between October 1999 and January 2000. This second study was conducted to determine the fate of CgA. Urine E. coli isolates from women with UTI, collected between October 2000 and January 2001, were tested for antibiotic susceptibility, O serogroup, ERIC2 PCR and DNA macrorestriction patterns using pulsed-field gel electrophoresis. The proportion of UTIs caused by CgA declined by 38% (P<0.001) but the prevalence of resistance to TMP-SMZ did not change. Six additional clonal groups were identified and these were responsible for 32% of TMP-SMZ-resistant UTIs. The temporal decline in the proportion of UTIs caused by CgA provides evidence that CgA caused a community outbreak of UTI. The fluctuation and occurrence of other E. coli clonal groups in this community suggest that a proportion of community-acquired UTIs may be caused by E. coli disseminated from one or more point sources.

Global Spread of Mobile Antimicrobial Drug Resistance Determinants in Human and Animal Escherichia coli and Salmonella Strains Causing Community-Acquired Infections

BACKGROUND Antimicrobial drugs used in human infection treatment and animal husbandry may select for drug-resistant bacterial pathogens, which are increasingly observed worldwide. We sought to examine the extent to which identical mobile drug resistance elements are shared across common pathogens isolated from human and animal sources. METHODS We compared the distribution of one class of mobile elements--integrons and gene cassettes--among uropathogenic Escherichia coli isolates, Salmonella enterica serovar Typhimurium isolates from human diarrhea cases, and E. coli and Salmonella isolates from nonhuman sources in the United States. The sequences of the gene cassettes were also compared with those deposited in GenBank. RESULTS Class 1 integrons were detected in 68 (49%) of 139 uropathogenic E. coli isolates, 16 (72%) of 22 human and animal Salmonella isolates, and 120 (28%) of 436 nonhuman E. coli isolates. The most prevalent cassettes were those encoding aminoglycoside adenyltransferase A (aadA) and dihydrofolate reductase A (dfrA). Sequences of aadA1, dfrA12-orfF-aadA2, and dfrA17-aadA5 gene cassettes from 35 urinary tract infection E. coli isolates and of aadA2 and aadA12 gene cassettes from 7 Salmonella isolates were 100% identical to the corresponding cassette sequences from food animal E. coli isolates and those deposited in GenBank from a wide variety of bacteria isolated from animal hosts from distinct regions of the world. CONCLUSION Common community-acquired human drug-resistant infections are caused by bacterial strains that harbor mobile drug resistance determinants of identical sequences that are found in diverse bacterial species from varied animal sources worldwide.

A qPCR-based metric of Th2 airway inflammation in asthma

BackgroundUsing microarray profiling of airway epithelial cells, we previously identified a Th2-high molecular phenotype of asthma based on expression of periostin, CLCA1 and serpinB2 and characterized by specific inflammatory, remodeling, and treatment response features. The goal of the current study was to develop a qPCR-based assay of Th2 inflammation to overcome the limitations of microarray-based methods.MethodsAirway epithelial brushings were obtained by bronchoscopy from two clinical studies comprising 44 healthy controls and 62 subjects with asthma, 39 of whom were studied before and after a standardized 8 week course of inhaled corticosteroids (ICS). The qPCR-based expression of periostin, CLCA1 and serpinB2 were combined into a single metric.ResultsIn asthma, the three-gene-mean of periostin, CLCA1 and serpinB2 correlated with FeNO (r = 0.75, p = 0.0002), blood eosinophils (r = 0.58, p = 0.003) and PC20 methacholine (r = -0.65, p = 0.0006), but not total serum IgE (r = 0.33, p = 0.1). Higher baseline three-gene-mean correlated with greater improvement in FEV1 with ICS at 2, 4 and 8 weeks (all p < 0.05). By ROC analysis, the area under the curve (AUC) of the three-gene-mean for FEV1 improvement with ICS at 4 and 8 weeks was 0.94 and 0.87, respectively, which are higher than the AUCs of FeNO, blood eosinophils, IgE or PC20. Th2 airway inflammation as measured by this three-gene-mean also had predictive capacity for an improvement in symptoms.ConclusionsThe three-gene-mean of periostin, CLCA1 and serpinB2 in airway epithelial brushings identifies Th2-high and low populations, is correlated with other Th2 biomarkers, and performs well for prediction of FEV1 improvement with ICS. The three-gene-mean provides a measurement of Th2 airway inflammation that is clinically relevant and that can serve as a valuable tool to evaluate non-invasive biomarkers to predict treatment responses to existing and emerging asthma therapies.