New Short Tandem Repeat-Based Molecular Typing Method for Pneumocystis jirovecii Reveals Intrahospital Transmission between Patients from Different Wards

Pneumocystis pneumonia is a severe opportunistic infection in immunocompromised patients caused by the unusual fungus Pneumocystis jirovecii. Transmission is airborne, with both immunocompromised and immunocompetent individuals acting as a reservoir for the fungus. Numerous reports of outbreaks in renal transplant units demonstrate the need for valid genotyping methods to detect transmission of a given genotype. Here, we developed a short tandem repeat (STR)-based molecular typing method for P. jirovecii. We analyzed the P. jirovecii genome and selected six genomic STR markers located on different contigs of the genome. We then tested these markers in 106 P. jirovecii PCR-positive respiratory samples collected between October 2010 and November 2013 from 91 patients with various underlying medical conditions. Unique (one allele per marker) and multiple (more than one allele per marker) genotypes were observed in 34 (32%) and 72 (68%) samples, respectively. A genotype could be assigned to 55 samples (54 patients) and 61 different genotypes were identified in total with a discriminatory power of 0.992. Analysis of the allelic distribution of the six markers and minimum spanning tree analysis of the 61 genotypes identified a specific genotype (Gt21) in our hospital, which may have been transmitted between 10 patients including six renal transplant recipients. Our STR-based molecular typing method is a quick, cheap and reliable approach to genotype Pneumocystis jirovecii in hospital settings and is sensitive enough to detect minor genotypes, thus enabling the study of the transmission and pathophysiology of Pneumocystis pneumonia.     

Low Abdominal NIRS Values and Elevated Plasma Intestinal Fatty Acid-Binding Protein in a Premature Piglet Model of Necrotizing Enterocolitis

To identify early markers of necrotizing enterocolitis (NEC), we hypothesized that continuous abdominal near-infrared spectroscopy (A-NIRS) measurement of splanchnic tissue oxygen saturation and intermittent plasma intestinal fatty-acid binding protein (pI-FABP) measured every 6 hours can detect NEC prior to onset of clinical symptoms. Premature piglets received parenteral nutrition for 48-hours after delivery, followed by enteral feeds every three hours until death or euthanasia at 96-hours. Continuous A-NIRS, systemic oxygen saturation (SpO₂), and heart rate were measured while monitoring for clinical signs of NEC. Blood samples obtained at 6-hour intervals were used to determine pI-FABP levels by ELISA. Piglets were classified as fulminant-NEC (f-NEC), non-fulminant-NEC (nf-NEC) and No-NEC according to severity of clinical and histologic features. Of 38 piglets, 37% (n=14) developed nf-NEC, 18% (n=7) developed f-NEC and 45% (n=17) had No-NEC. There were significant differences in baseline heart rate (p=0.008), SpO₂ (p<0.001) and A-NIRS (p<0.001) among the three groups. A-NIRS values of NEC piglets remained lower throughout the study with mean for f-NEC of 69±3.8%, 71.9±4.04% for nf-NEC, and 78.4±1.8% for No-NEC piglets (p<0.001). A-NIRS <75% predicted NEC with 97% sensitivity and 97% specificity. NEC piglets demonstrated greater variability from baseline in A-NIRS than healthy piglets (10.1% vs. 6.3%; p=0.04). Mean pI-FABP levels were higher in animals that developed NEC compared to No-NEC piglets (0.66 vs. 0.09 ng/mL;p<0.001). In f-NEC piglets, pI-FABP increased precipitously after feeds (0.04 to 1.87 ng/mL;p<0.001). pI-FABP levels increased in parallel with disease progression and a value >0.25ng/mL identified animals with NEC (68% sensitivity and 90% specificity). NIRS is a real-time, non-invasive tool that can serve as a diagnostic modality for NEC. In premature piglets, low A-NIRS in the early neonatal period and increased variability during initial feeds are highly predictive of NEC, which is then confirmed by rising plasma I-FABP levels. These modalities may help identify neonates with NEC prior to clinical manifestations of disease.     

The Vaginal Microbiota over an 8- to 10-Year Period in a Cohort of HIV-Infected and HIV-Uninfected Women

BackgroundWe identified predominant vaginal microbiota communities, changes over time, and how this varied by HIV status and other factors in a cohort of 64 women.MethodsBacterial DNA was extracted from reposited cervicovaginal lavage samples collected annually over an 8–10 year period from Chicago Women’s Interagency HIV Study participants: 22 HIV-negative, 22 HIV-positive with stable infection, 20 HIV-positive with progressive infection. The vaginal microbiota was defined by pyrosequencing of the V1/V2 region of the 16S rRNA gene. Scheduled visits included Bacterial vaginsosis (BV) screening; clinically detected cases were referred for treatment. Hierarchical clustering identified bacterial community state types (CST). Multinomial mixed effects modeling determined trends over time in CST, by HIV status and other factors.ResultsThe median follow-up time was 8.1 years (range 5.5–15.3). Six CSTs were identified. The mean relative abundance (RA) of Lactobacillus spp. by CST (with median number of bacterial taxa) was: CST-1–25.7% (10), CST-2–27.1% (11), CST-3–34.6% (9), CST-4–46.8% (9), CST-5–57.9% (4), CST-6–69.4% (2). The two CSTs representing the highest RA of Lactobacillus and lowest diversity increased with each additional year of follow-up (CST-5, adjusted odds ratio (aOR) = 1.62 [95% CI: 1.34–1.94]; CST-6, aOR = 1.57 [95 CI: 1.31–1.89]), while the two CSTs representing lowest RA of Lactobacillus and higher diversity decreased with each additional year (CST-1, aOR = 0.89 [95% CI: 0.80–1.00]; CST-2, aOR = 0.86 [95% CI: 0.75–0.99]). There was no association between HIV status and CST at baseline or over time. CSTs representing lower RA of Lactobacillus were associated with current cigarette smoking.ConclusionsThe vaginal microbial community significantly improved over time in this cohort of women with HIV and at high risk for HIV who had regular detection and treatment referral for BV.     

Immune Reactions against Gene Gun Vaccines Are Differentially Modulated by Distinct Dendritic Cell Subsets in the Skin

The skin accommodates multiple dendritic cell (DC) subsets with remarkable functional diversity. Immune reactions are initiated and modulated by the triggering of DC by pathogen-associated or endogenous danger signals. In contrast to these processes, the influence of intrinsic features of protein antigens on the strength and type of immune responses is much less understood. Therefore, we investigated the involvement of distinct DC subsets in immune reactions against two structurally different model antigens, E. coli beta-galactosidase (betaGal) and chicken ovalbumin (OVA) under otherwise identical conditions. After epicutaneous administration of the respective DNA vaccines with a gene gun, wild type mice induced robust immune responses against both antigens. However, ablation of langerin⁺ DC almost abolished IgG1 and cytotoxic T lymphocytes against betaGal but enhanced T cell and antibody responses against OVA. We identified epidermal Langerhans cells (LC) as the subset responsible for the suppression of anti-OVA reactions and found regulatory T cells critically involved in this process. In contrast, reactions against betaGal were not affected by the selective elimination of LC, indicating that this antigen required a different langerin⁺ DC subset. The opposing findings obtained with OVA and betaGal vaccines were not due to immune-modulating activities of either the plasmid DNA or the antigen gene products, nor did the differential cellular localization, size or dose of the two proteins account for the opposite effects. Thus, skin-borne protein antigens may be differentially handled by distinct DC subsets, and, in this way, intrinsic features of the antigen can participate in immune modulation.     

Connectivity of Marine Protected Areas and Its Relation with Total Kinetic Energy

The East Continental Shelf (ECS) of Brazil is a hotspot of endemism and biodiversity of reef biota in the South Atlantic, hosting a number of Marine Protected Areas (MPAs). Connectivity of MPAs through larval dispersal influences recruitment, population dynamics, genetic structure and biogeography in coral reef ecosystems. Connectivity of protected reef ecosystem in the ECS was investigated with a hydrodynamic model (ROMS) forcing an Individual Based Model (IBM—Ichthyop), and used groupers (genus Mycteroperca) as functional group. The hydrodynamic output from ROMS was compared with satellite data and showed good agreement with observed surface fields. Eggs were released, in IBM experiments, from April to September along six years (2002–2007) in five MPAs along the ECS. Intrannual variability in recruitment and self-recruitment of grouper larvae was observed, as well as a negative correlation of these population parameters with total Kinetic Energy (KE) used as a metric of the physical environment. Higher KE leads to increased offshore advection of larvae, reduced total recruitment and connectivity of MPAs. Our results indicate high and uni-directional connectivity between MPAs from north to south influenced by the Brazil Current flowing in the same direction. Results also showed that some MPAs act predominantly as “sink” while others are mainly “source” areas.     

Efflux pump‐deficient mutants as a platform to search for microbes that produce antibiotics

Pseudomonas putida DOT‐T1E‐18 is a strain deficient in the major antibiotic efflux pump (TtgABC) that exhibits an overall increased susceptibility to a wide range of drugs when compared with the wild‐type strain. We used this strain as a platform to search for microbes able to produce antibiotics that inhibit growth. A collection of 2400 isolates from soil, sediments and water was generated and a drop assay developed to identify, via growth inhibition halos, strains that prevent the growth of DOT‐T1E‐18 on solid Luria–Bertani plates. In this study, 35 different isolates that produced known and unknown antibiotics were identified. The most potent inhibitor of DOT‐T1E‐18 growth was an isolate named 250J that, through multi‐locus sequence analysis, was identified as a Pseudomonas sp. strain. Culture supernatants of 250J contain four different xantholysins that prevent growth of Gram‐positive bacteria, Gram‐negative and fungi. Two of the xantholysins were produced in higher concentrations and purified. Xantholysin A was effective against Bacillus, Lysinibacillus and Rhodococcus strains, and the effect against these microbes was enhanced when used in combination with other antibiotics such as ampicillin, gentamicin and kanamycin. Xantholysin C was also efficient against Gram‐positive bacteria and showed an interesting antimicrobial effect against Pseudomonas strains, and a synergistic inhibitory effect with ampicillin, chloramphenicol and gentamicin.     

Molecular taxonomic identification in the absence of a ‘barcoding gap’: a test with the endemic flora of the Canarian oceanic hotspot

We use a comprehensive subset of Canarian angiosperms corresponding to 23 families, 35 genera and 60 Canarian endemic taxa to test whether this flora is suitable to taxonomic identification with the two proposed plant DNA barcode sequences and whether these sequences may reveal the existence of cryptic species overlooked by morphology. The rate of discrimination success between the insular congeneric samples using the rbcL+matK combination and a ‘character‐based’ approach (where we use only the combination of nucleotide positions in an alignment that allows unambiguous species identification) is higher (82.29%) than that obtained with the ‘distance‐based’ approach (80.20%) used by the CBOL Plant Working Group in 2009 and also when compared with tests conducted in other floras. This suggests that the molecular identification of the Canarian endemic flora can be achieved as successfully as in other floras where the incidence of radiation is not as relevant. The facts that (i) a distance‐based criterion was unable to discriminate between congeneric and conspecific comparisons and (ii) only the character‐based discrimination criterion resolved cases that the distance‐based criterion did not, further support the use of a character discrimination approach for a more efficient DNA barcoding of floras from oceanic islands like the Canaries. Thus, a barcoding gap seems not to be necessary for the correct molecular characterization of the Canarian flora. DNA barcodes also suggest the possible existence of cryptic taxa to be further investigated by morphology and that the current taxonomic status of some of the taxa analysed may need revision.     

Immunostimulatory Effects Triggered by Enterococcus faecalis CECT7121 Probiotic Strain Involve Activation of Dendritic Cells and Interferon-Gamma Production

Probiotics can modulate the immune system, conferring beneficial effects on the host. Understanding how these microorganisms contribute to improve the health status is still a challenge. Previously, we have demonstrated that Enterococcus faecalis CECT7121 implants itself and persists in the murine gastrointestinal tract, and enhances and skews the profile of cytokines towards the Th1 phenotype in several biological models. Given the importance of dendritic cells (DCs) in the orchestration of immunity, the aim of this work was to elucidate the influence of E. faecalis CECT7121 on DCs and the outcome of the immune responses. In this work we show that E. faecalis CECT7121 induces a strong dose-dependent activation of DCs and secretion of high levels of IL-12, IL-6, TNFα, and IL-10. This stimulation is dependent on TLR signaling, and skews the activation of T cells towards the production of IFNγ. The influence of this activation in the establishment of Th responses in vivo shows the accumulation of specific IFNγ-producing cells. Our findings indicate that the activation exerted by E. faecalis CECT7121 on DCs and its consequence on the cellular adaptive immune response may have broad therapeutic implications in immunomodulation.     

The 2012/2013 ABRF Proteomic Research Group Study: Assessing Longitudinal Intralaboratory Variability in Routine Peptide Liquid Chromatography Tandem Mass Spectrometry Analyses*

Questions concerning longitudinal data quality and reproducibility of proteomic laboratories spurred the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) to design a study to systematically assess the reproducibility of proteomic laboratories over an extended period of time. Developed as an open study, initially 64 participants were recruited from the broader mass spectrometry community to analyze provided aliquots of a six bovine protein tryptic digest mixture every month for a period of nine months. Data were uploaded to a central repository, and the operators answered an accompanying survey. Ultimately, 45 laboratories submitted a minimum of eight LC-MSMS raw data files collected in data-dependent acquisition (DDA) mode. No standard operating procedures were enforced; rather the participants were encouraged to analyze the samples according to usual practices in the laboratory. Unlike previous studies, this investigation was not designed to compare laboratories or instrument configuration, but rather to assess the temporal intralaboratory reproducibility. The outcome of the study was reassuring with 80% of the participating laboratories performing analyses at a medium to high level of reproducibility and quality over the 9-month period. For the groups that had one or more outlying experiments, the major contributing factor that correlated to the survey data was the performance of preventative maintenance prior to the LC-MSMS analyses. Thus, the Protein Research Group of the Association of Biomolecular Resource Facilities recommends that laboratories closely scrutinize the quality control data following such events. Additionally, improved quality control recording is imperative. This longitudinal study provides evidence that mass spectrometry-based proteomics is reproducible. When quality control measures are strictly adhered to, such reproducibility is comparable among many disparate groups. Data from the study are available via ProteomeXchange under the accession code PXD002114.The broad-reaching use and application of mass spectrometry-based proteomics in the international research community continues to exponentially grow and expand. As the technology has developed and practitioners have become skilled in performing complex workflows, the community has not only gained interest in assessing data across laboratories but also in maintaining consistent quality control within a laboratory. Koecher et al. raised the issue of quality control measures and how this aspect of mass spectrometry-based proteomics is generally neglected in scientific publications (1). Fortunately, studies characterizing the stability of liquid chromatography-tandem MS (LC-MSMS)¹ quality control performance among numerous laboratories are emerging. The relationship between sample preparation schemes, data acquisition and reduction strategies, and bioinformatic analyses have been comprehensively reviewed by Tabb (2).Several studies exist where intra- and interlaboratory reproducibility between multiple sites has been assessed under different settings. Perhaps the most systematic and detailed of these investigations are from the Human Proteome Organization (HuPO) test sample working group (3); the National Cancer Institute Clinical Proteomic Tumor Analysis Consortium (NCI CPTAC) (4); and the ProteoRed Consortium (5, 6). The HuPO group utilized an equimolar mixture of 20 highly purified recombinant human proteins (5 pmol per protein) distributed to 27 different laboratories and analyzed without constraint according to optimized LCMS and database search protocols from each of the laboratories (3). The study was not an assessment of instrument performance for highly sensitive detection of proteins, as all participating laboratories had acquired raw data of sufficient quality to identify all 20 proteins (and a specific subset of tryptic peptides). The study revealed, however, that discrepancies in peptide identification and protein assignment were the result of differences in data analysis strategies rather than data collection.The NCI CPTAC group used a standardized Saccharomyces cerevisiae proteome digest that was analyzed on ion-trap-based LCMS platforms in five independent laboratories according to both an established standard operating procedure (SOP) and with no SOP constraint (4). All data analysis was centralized, and thus, any observed variations were entirely because of the LCMS platform. By applying the performance metrics developed by Rudnick et al. (7), several key points emerged: (1) as expected, intralaboratory variation was less than interlaboratory variation; and (2) overall, the interlaboratory variation in peptide identifications and some of the other performance metrics were comparable between instruments, although there were large differences in the average values for some metrics (e.g. MS1 signal intensity, dynamic sampling).The ProteoRed Consortium initiated the ProteoRed Multicenter Experiment for Quality Control (PMEQC) (5, 6). This longitudinal QC multicenter study involved 12 institutes, and was designed to assess: (1) intralaboratory repeatability of LC-MSMS proteomic data; (2) interlaboratory reproducibility; and (3) reproducibility across multiple instrument platforms. Participants received samples of undigested or tryptically digested yeast proteins and were requested to follow strict analytical guidelines. Data analysis was centralized and performed under standard procedures using a common workflow. The study revealed that the overall performance with respect to metrics such as reproducibility, sensitivity, dynamic range etc. was directly related to the degree of operator expertise, and less dependent on instrumentation.Several studies not specifically focused on quality control have also yielded insight into proteomic reproducibility. The HuPO plasma proteome project (HuPO PPP) distributed 20 human samples (five serum plus 3 × 5 plasma samples treated with three different anticoagulants) to 35 laboratories spanning 13 countries (8). The purpose of this large-scale study was not to assess reproducibility per se, but rather to generate the largest and most comprehensive data set on the protein composition of human plasma/serum. On a smaller scale, the ISB standard 18 protein mixture (purified proteins from cow, horse, rabbit, chicken, E. coli, and B. licheniformus) was also assessed between laboratories on eight different LCMS platforms (9). These data reside in a comprehensive, multiplatform database as a resource for the proteomic community. Additional interlaboratory assessments have consisted of multiple reaction monitoring-based measurements of peptides/proteins in plasma (10, 11) and protein–protein interactions at both the biochemical and proteomic level (12).For team leaders/directors of proteomic laboratories and any researcher collaborating with such groups, major questions that may arise concerning data consistency are: how well are quality controls being implemented in the daily operations? Do the quality control measures effectively support data reproducibility? To address this, the Protein Research Group of the Association of Biomolecular Resource Facilities (ABRF-PRG) designed a study whereby LC-MSMS data obtained from the analysis of a commercially available bovine protein mixture predigested with trypsin were collected at routine intervals over a period of 9 months. Raw MS data files from a total of 64 participating laboratories were accumulated, and HPLC and MS performance were evaluated through QC metrics (13). The main impetus of the study was to recognize key sources of variability in HPLC and MS analyses under extended and routine operating conditions for each laboratory and to catalog the state of quality control in a diverse set of proteomic laboratories.No standard operating protocol was imposed on the participants; instead, contributors were encouraged to employ the methods that were typically applied in individual laboratories. Optimization of instrument methods on the provided sample was discouraged. A survey was conducted with each sample submission to catalog individual laboratory practices, instrument configurations, acquisition settings, including routine and nonroutine maintenance procedures. Unlike previous investigations where emphasis was placed on the preparation, distribution, and evaluation of protein standards to appraise and/or standardize LCMS platforms between laboratories, the key interest in this study was purely to determine the intralaboratory performance, reproducibility, and consistency of participating laboratories over an extended period of time.The rapidly expanding number of proteomic laboratories have incorporated divergent HPLC systems, mass spectrometers, solvent systems, columns etc. As a result, analyzing data from a large number of laboratories necessitates tools that can accommodate data from a broad range of platforms. For example, to expect a small laboratory with a decade-old three-dimensional ion trap mass spectrometer to achieve the same sensitivity as a laboratory with a high-resolution hybrid instrument would be unfair. Correspondingly, the data analysis needs to include axes beyond simple peptide-level sensitivity. Nevertheless, the laboratory with the older instrumentation may be consistently better at maximizing performance from the chosen instrument platform compared with a laboratory with the latest high-end equipment.The focus of this study was to estimate the degree of variability in intralaboratory performance over a 9-month period. This goal was achieved using quality metrics that are applicable to most LC-MSMS workflows. The inclusion of data from many laboratories will enable the proteomic community to determine the current state of quality control within a typical laboratory. The survey data enabled the mapping of some alterations in instrument performance to documented laboratory events, e.g. mass spectrometer calibration. The study was designed neither to compare one laboratory with another, nor to discriminate between classes of instrumentation.Questions of data quality and performance in the proteomic community are appropriately aligned with the heightened awareness of a perceived lack of reproducibility of scientific findings in general (1). This community has endeavored to provide tools to assess proteomic data quality, and this study provides additional insight into the application of such tools and the quality of data within respective laboratories.