Comparative analysis of endometrial, vaginal, and gut microbiota in patients with and without adenomyosis.

INTRODUCTION: Alterations in microbiota composition have been implicated in a variety of human diseases. Patients with adenomyosis present immune dysregulation leading to a persistent chronic inflammatory response. In this context, the hypothesis that alterations in the microbiota may be involved in the pathogenesis of adenomyosis, by affecting the epigenetic, immunologic, and biochemical functions of the host, has recently been postulated. The aim of the present study was to compare the microbiota composition in the vagina, endometrium, and gut of individuals with and without adenomyosis. MATERIAL AND METHODS: Cross-sectional study including 38 adenomyosis patients and 46 controls, performed between September 2021 and October 2022 in a university hospital-based research center. The diagnosis of adenomyosis was based on sonographic criteria. Fecal, vaginal, and endometrial samples were collected. Study of the microbiota using 16S rRNA gene sequencing. RESULTS: Patients with adenomyosis exhibited a significant reduction in the gut microbial alpha diversity compared with healthy controls (Chao1 p = 0.012, Fisher p = 0.005, Observed species p = 0.005). Beta-diversity analysis showed significant differences in the compositions of both gut and vaginal microbiota between adenomyosis patients and the control group (Adonis p-value = 0.001; R2 = 0.03 and Adonis p-value = 0.034; R2 = 0.04 respectively). Specific bacterial taxa were found to be either overrepresented (Rhodospirillales, Ruminococcus gauvreauii group, Ruminococcaceae, and Actinomyces) or underrepresented in the gut and endometrial microbiota of adenomyosis patients compared with controls. Distinct microbiota profiles were identified among patients with internal and external adenomyosis phenotypes. CONCLUSIONS: The study revealed reduced gut microbiota diversity in adenomyosis patients, accompanied by distinct compositions in gut and vaginal microbiota compared with controls. Overrepresented or underrepresented bacterial taxa were noted in the gut and endometrial microbiota of adenomyosis patients, with variations in microbiota profiles among those with internal and external adenomyosis phenotypes. These findings suggest a potential association between microbiota and adenomyosis, indicating the need for further research to comprehensively understand the implications of these differences.

Multiplex real-time PCR FilmArray performance in the diagnosis of meningoencephalitis: lights and shadows.

PURPOSE: We aimed to evaluate the performance of the FilmArray (FA) meningitis/encephalitis (ME) panel. Secondarily, we analyzed the false positive (FP) and false negative (FN) results, as well as the predictive values of the technique, regarding the cerebrospinal fluid (CSF) characteristics. METHODS: FA is a multiplex real-time PCR detecting 14 of the most common ME pathogens in CSF. All FA performed at our hospital (2018-2022) were retrospectively reviewed. FA was compared to conventional techniques and its performance was assessed based on the final diagnosis of the episode. RESULTS: FA was performed in 313 patients with suspicion of ME. Most patients had altered mental status (65.2%) and fever (61%). Regarding CSF characteristics, 49.8% and 53.7% presented high CSF proteins and pleocytosis, respectively. There were 84 (26.8%) positive FA results, mainly for HSV-1 (10.9%), VZV (5.1%), Enterovirus (2.6%), and S. pneumoniae (1.9%). In the 136 cases where both FA and routine methods were performed, there was a 25.7% lack of agreement. We identified 6.6% FN results, but 28.6% FP, mainly due to HSV-1. This resulted in a high negative predictive value (NPV) of 93.4%, but a positive predictive value (PPV) of 73%. Remarkably, PPV as low as 36.9%, and 70.2%, were found in cases without pleocytosis, or lack of high CSF protein levels, respectively. CONCLUSION: FA was associated with high NPV, but frequent FP results and low PPV, particularly for HSV-1, and especially in patients without high CSF protein levels or pleocytosis.

A multi-platform approach to identify a blood-based host protein signature for distinguishing between bacterial and viral infections in febrile children (PERFORM): a multi-cohort machine learning study.

BACKGROUND: Differentiating between self-resolving viral infections and bacterial infections in children who are febrile is a common challenge, causing difficulties in identifying which individuals require antibiotics. Studying the host response to infection can provide useful insights and can lead to the identification of biomarkers of infection with diagnostic potential. This study aimed to identify host protein biomarkers for future development into an accurate, rapid point-of-care test that can distinguish between bacterial and viral infections, by recruiting children presenting to health-care settings with fever or a history of fever in the previous 72 h. METHODS: In this multi-cohort machine learning study, patient data were taken from EUCLIDS, the Swiss Pediatric Sepsis study, the GENDRES study, and the PERFORM study, which were all based in Europe. We generated three high-dimensional proteomic datasets (SomaScan and two via liquid chromatography tandem mass spectrometry, referred to as MS-A and MS-B) using targeted and untargeted platforms (SomaScan and liquid chromatography mass spectrometry). Protein biomarkers were then shortlisted using differential abundance analysis, feature selection using forward selection-partial least squares (FS-PLS; 100 iterations), along with a literature search. Identified proteins were tested with Luminex and ELISA and iterative FS-PLS was done again (25 iterations) on the Luminex results alone, and the Luminex and ELISA results together. A sparse protein signature for distinguishing between bacterial and viral infections was identified from the selected proteins. The performance of this signature was finally tested using Luminex assays and by calculating disease risk scores. FINDINGS: 376 children provided serum or plasma samples for use in the discovery of protein biomarkers. 79 serum samples were collected for the generation of the SomaScan dataset, 147 plasma samples for the MS-A dataset, and 150 plasma samples for the MS-B dataset. Differential abundance analysis, and the first round of feature selection using FS-PLS identified 35 protein biomarker candidates, of which 13 had commercial ELISA or Luminex tests available. 16 proteins with ELISA or Luminex tests available were identified by literature review. Further evaluation via Luminex and ELISA and the second round of feature selection using FS-PLS revealed a six-protein signature: three of the included proteins are elevated in bacterial infections (SELE, NGAL, and IFN-γ), and three are elevated in viral infections (IL18, NCAM1, and LG3BP). Performance testing of the signature using Luminex assays revealed area under the receiver operating characteristic curve values between 89·4% and 93·6%. INTERPRETATION: This study has led to the identification of a protein signature that could be ultimately developed into a blood-based point-of-care diagnostic test for rapidly diagnosing bacterial and viral infections in febrile children. Such a test has the potential to greatly improve care of children who are febrile, ensuring that the correct individuals receive antibiotics. FUNDING: European Union's Horizon 2020 research and innovation programme, the European Union's Seventh Framework Programme (EUCLIDS), Imperial Biomedical Research Centre of the National Institute for Health Research, the Wellcome Trust and Medical Research Foundation, Instituto de Salud Carlos III, Consorcio Centro de Investigación Biomédica en Red de Enfermedades Respiratorias, Grupos de Refeencia Competitiva, Swiss State Secretariat for Education, Research and Innovation.

Evaluation of Plasma Lipocalin-2 as a Predictor of Etiology and Severity in Adult Patients with Community-Acquired Pneumonia.

The aim of this study was to evaluate the diagnostic performance of plasma Lipocalin-2 (LCN2) concentration in adult patients with community-acquired pneumonia (CAP) to determine its etiology, severity and prognosis. A prospective observational study involving adults with CAP from November 2015 to May 2017 was conducted. Plasma LCN2 concentration was measured upon admission by a modified enzyme immunoassay coupled with chemiluminescence (Architect, Abbott Laboratories). The diagnostic performance of LCN2, C-reactive protein (CRP) and white blood cell to predict bacterial CAP was assessed. A total of 130 patients with CAP were included: 71 (54.6%) bacterial CAP, 42 (32.3%) unknown origin CAP and 17 (13.1%) viral CAP. LCN2 was higher in bacterial CAP than in non-bacterial CAP (122.0 vs. 89.7 ng/mL, respectively) (p = 0.03) with a limited ability to distinguish bacterial and non-bacterial CAP (AUROC: 0.62 [95% CI 0.52-0.72]). The LCN2 cutoff ≥ 204 ng/mL predicted the presence of pneumococcal bacteremia with an AUROC of 0.74 (sensitivity 70%, specificity 79.1%). Regarding severity, as defined by CURB-65 and PSI scores, there was a significant linear trend in the mean concentration of LCN2, exhibiting a shift from the low-risk to the intermediate-risk and high-risk group (p < 0.001 and 0.001, respectively). LCN2 concentration was associated with severity in adult patients with CAP. However, its utility as a biomarker to discriminate viral and bacterial etiology in CAP is limited.

Determination of Effect Sizes for Power Analysis for Microbiome Studies Using Large Microbiome Databases.

Herein, we present a tool called Evident that can be used for deriving effect sizes for a broad spectrum of metadata variables, such as mode of birth, antibiotics, socioeconomics, etc., to provide power calculations for a new study. Evident can be used to mine existing databases of large microbiome studies (such as the American Gut Project, FINRISK, and TEDDY) to analyze the effect sizes for planning future microbiome studies via power analysis. For each metavariable, the Evident software is flexible to compute effect sizes for many commonly used measures of microbiome analyses, including α diversity, ß diversity, and log-ratio analysis. In this work, we describe why effect size and power analysis are necessary for computational microbiome analysis and show how Evident can help researchers perform these procedures. Additionally, we describe how Evident is easy for researchers to use and provide an example of efficient analyses using a dataset of thousands of samples and dozens of metadata categories.

Information Delay of Significant Bloodstream Isolates and Patient Mortality: A Retrospective Analysis of 6225 Adult Patients With Bloodstream Infections.

BACKGROUND: Our aim in this study was to evaluate the clinical and prognostic impact of communicating microbiological information in real time for adult patients with bloodstream infections (BSIs). METHODS: We retrospectively reviewed 6225 clinical episodes of bacteremia in a teaching hospital from January 2013 to December 2019. Bacteremia-associated mortality was compared when blood culture results were relayed to the infectious diseases specialist (IDS) in real time and periods when results were relayed the following morning. The impact of information availability using mortality at 30 days was used as the main outcome of the study. RESULTS: The initial analysis (all microorganisms included) did not show an association of mortality and information delay to the IDS (odds ratio [OR], 1.18; 95% confidence interval [CI], .99-1.42). However, information delay of BSIs caused by fast-growing microorganisms such as Enterobacterales was associated with a significant increase in the odds of death at 30 days both in the univariate (OR, 1.76; 95% CI, 1.30-2.38) and multivariate analysis (OR, 2.22; 95% CI, 1.50-3.30). Similar results were found with mortality at 14 days and 7 days in the univariate (OR, 1.54; 95% CI, 1.08-2.20 and OR, 1.56; 95% CI, 1.03-2.37, respectively) and the multivariate analysis (OR, 2.05; 95% CI, 1.27-3.32 and OR, 1.92; 95% CI, 1.09-3.40, respectively). CONCLUSIONS: Information delivered in real time has prognostic relevance and is likely to improve survival of patients with documented BSIs. Future studies should address the prognostic impact of adequate resource allocation (microbiologist/IDS with 24/7 coverage) in BSIs.

Viral epidemic preparedness: a perspective from five clinical microbiology laboratories in Europe.

BACKGROUND: Pandemic preparedness is critical to respond effectively to existing and emerging/new viral pathogens. Important lessons have been learned during the last pandemic at various levels. This revision discusses some of the major challenges and potential ways to address them in the likely event of future pandemics. OBJECTIVES: To identify critical points of readiness that may help us accelerate the response to future pandemics from a clinical microbiology laboratory perspective with a focus on viral diagnostics and genomic sequencing. The potential areas of improvement identified are discussed from the sample collection to information reporting. SOURCES: Microbiologists and researchers from five countries reflect on challenges encountered during the COVID-19 pandemic, review published literature on prior and current pandemics, and suggest potential solutions in preparation for future outbreaks. CONTENT: Major challenges identified in the pre-analytic and post-analytic phases from sample collection to result reporting are discussed. From the perspective of clinical microbiology laboratories, the preparedness for a new pandemic should focus on zoonotic viruses. Laboratory readiness for scalability is critical and should include elements related to material procurement, training personnel, specific funding programmes, and regulatory issues to rapidly implement "in-house" tests. Laboratories across various countries should establish (or re-use) operational networks to communicate to respond effectively, ensuring the presence of agile circuits with full traceability of samples. IMPLICATIONS: Laboratory preparedness is paramount to respond effectively to emerging and re-emerging viral infections and to limit the clinical and societal impact of new potential pandemics. Agile and fully traceable methods for sample collection to report are the cornerstone of a successful response. Expert group communication and early involvement of information technology personnel are critical for preparedness. A specific budget for pandemic preparedness should be ring-fenced and added to the national health budgets.

In vitro antibacterial activity of antiretroviral drugs on key commensal bacteria from the human microbiota.

Introduction: Antiretroviral therapy has improved life expectancy in HIV-infected patients. However, people living with HIV under antiretroviral therapy are at higher risks of developing chronic complications and acquiring multidrug resistant bacteria than healthy population. These factors have been associated with shifts in gut microbiome composition and immune activation. It is unclear how antiretroviral drugs affect gut microbiota composition, but it has been observed that antiretroviral treatment is not able to fully restore gut health after HIV infection. Additionally, some antiretroviral drugs have shown antibacterial activity suggesting that these drugs could have a direct impact on the human microbiome composition. Methods: We determined the in vitro antibacterial activity of 16 antiretroviral drugs against a set of key clinically relevant and human commensal bacterial strains. Results: Our results demonstrate that 5 antiretroviral drugs have in vitro antibacterial activity against gut and vaginal human commensal bacteria. Zidovudine has antibacterial activity against Escherichia coli, Klebsiella pneumoniae and Prevotella bivia, abacavir against Gardnerella vaginalis, efavirenz against G. vaginalis and P. bivia and bictegravir against Enterococcus spp. and G. vaginalis. Moreover, we describe for the first time that elvitegravir has antibacterial activity against G. vaginalis and P. bivia and, most importantly, against vancomycin-resistant Enterococcus spp. and methicillin-resistant Staphylococcus aureus strains with MIC values of 4-16 and 4 µg/mL, respectively showing high level of effectiveness against the tested multidrug-resistant bacteria. Discussion: Our results underscore that some antiretroviral drugs may influence the human microbiota composition. In addition, we report the potential use of elvitegravir to treat multidrug-resistant Gram-positive bacteria warranting the need of clinical studies to repurpose this antiretroviral drug.

Stool donor recruitment - A one-year experience.

Stool donors for fecal microbiota transference (FMT) should be rigorously screened to identify any disorder in health status. The success of our screening protocol to identify eligible donors in the last year and a half was evaluated and compared with the published literature. The target population was medical students who responded to 3 public calls to donate stools. Qualified donors brought stool samples to our lab. Out of the 110 students who responded to the call, 26 were enrolled as study donors and delivered at least one stool sample. The main reason for volunteer exclusion was body mass index (BMI) <18.5kg/m2 or >25kg/m2 (n=11) and for the identification of ESBL Escherichia coli in feces (n=3). Our success rate after the screening protocol was considered high. Understanding the incentives to participate is critical to the success of recruitment strategies as FMT is still a little-known practice for general population.

Stool donor recruitment – A one-year experience / Reclutamiento de donantes de heces: experiencia de un año

Stool donors for fecal microbiota transference (FMT) should be rigorously screened to identify any disorder in health status. The success of our screening protocol to identify eligible donors in the last year and a half was evaluated and compared with the published literature.The target population was medical students who responded to 3 public calls to donate stools. Qualified donors brought stool samples to our lab.Out of the 110 students who responded to the call, 26 were enrolled as study donors and delivered at least one stool sample. The main reason for volunteer exclusion was body mass index (BMI) <18.5kg/m2 or >25kg/m2 (n=11) and for the identification of ESBL Escherichia coli in feces (n=3).Our success rate after the screening protocol was considered high. Understanding the incentives to participate is critical to the success of recruitment strategies as FMT is still a little-known practice for general population.(AU)

Se debe seleccionar rigurosamente a los donantes de heces para la transferencia de microbiota fecal (TMF) para identificar cualquier trastorno en la salud. Se evaluó el éxito de nuestro protocolo de selección para identificar donantes idóneos en el último año y medio y se comparó con la literatura publicada.La población objetivo fueron estudiantes de medicina que respondieron a 3 convocatorias públicas para donar heces. Los donantes aptos llevaron muestras de heces a nuestro laboratorio.De los 110 estudiantes que respondieron a la convocatoria, 26 se inscribieron como donantes del estudio y entregaron al menos una muestra de heces. El principal motivo para la exclusión de voluntarios fue un índice de masa corporal (IMC) <18,5 kg/m2 o >25 kg/m2 (n=11) y la identificación de E. coli BLEE en las heces (n=3).Nuestra tasa de éxito tras el protocolo de selección se consideró alta. Comprender los incentivos para participar es fundamental para el éxito de las estrategias de reclutamiento, ya que la TMF sigue siendo una práctica poco conocida para la población en general.(AU)

New Procedure to Maintain Fecal Microbiota in a Dry Matrix Ready to Encapsulate.

Fecal microbiota transplantation (FMT) is one of the recommended treatments for recurrent Clostridioides difficile infection, but endoscopy and available oral formulations still have several limitations in their preparation, storage, and administration. The need for a viable oral formulation that facilitates the implementation of this highly effective therapy in different settings has led us to test the microcrystalline cellulose particles as an adsorbent of concentrated filtered fresh feces in comparison to lyophilized feces. This free-flowing material can provide protection to bacteria and results in a dried product able to maintain the viability of the microbiota for a long time. Adsorbate formulation showed a stabilizing effect in gut microbiota, maintaining bacteria viability and preserving its diversity, and is a competitive option for lyophilized capsules.

Diagnostic Performance of Six Rapid Antigen Tests for SARS-CoV-2.

Microbiological diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a challenge. Although real-time reverse transcription PCR (RT-PCR) represents the gold standard method, strategies that allow rapid and simple diagnosis are necessary for the early identification of cases. In this study, we evaluated the diagnostic performance of six different commercial rapid antigen tests (Coronavirus antigen [Ag] rapid test cassette [Healgen Scientific, Houston, TX, USA], COVID-19 Ag FIA [Vircell, SD Biosensor Inc., Gyeonggi-do, Republic of Korea], Clinitest rapid COVID-19 antigen test [Siemens, Healthineers, Erlangen, Germany], SARS-CoV-2 rapid antigen test [SD Biosensor; Roche Diagnostics, Basel, Switzerland], Panbio COVID-19 Ag rapid test device [Abbott, Chicago, IL, USA], and SARS-CoV-2 test [MonLab, Barcelona, Spain]) in 130 nasopharyngeal swab samples tested previously by RT-PCR. The overall sensitivity of the rapid tests ranged from 65% to 79%, and the specificity was 100% for all of them. The sensitivity was higher for those samples with RT-PCR cycle threshold (CT) values below 25 and those from patients presenting within the first week of symptoms. The Siemens test showed the highest sensitivity for patients with high viral loads while the Vircell test performed better than the rest for CT values of ≥25. IMPORTANCE The rapid detection of people infected with SARS-CoV-2 is essential for a correct and effective control of the disease it causes. This process must be sensitive, fast, and simple, and it must be possible to carry out in any type of health center. Rapid antigen tests are the answer to this need. Knowing its ability to detect the virus in different stages of the disease is essential for a correct diagnosis, which is why this study has been carried out to evaluate the sensitivity and specificity of 6 different antigens tests in nasopharyngeal smear samples.

Recomendaciones para la selección del donante para la transferencia de microbiota fecal. Documento de posicionamiento avalado por la Societat Catalana de Digestologia, la Societat Catalana de Malalties Infeccioses i Microbiologia Clínica y el grupo GEMBIOTA de la Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica / Recommendations for stool donor selection for fecal microbiota transplant. Consensus document endorsed by the Catalan Society of Digestology, Catalan Society of Infectious diseases and Clinical microbiology and the GEMBIOTA group from Spanish Society of Infectious Diseases and Clinical Microbiology

La transferencia de microbiota fecal (TMF) es un tratamiento eficaz y seguro para tratar la infección recurrente por Clostridioides difficile. Es esencial extremar esfuerzos para que la TMF se realice con rigor y en base a los conocimientos científicos. La selección del donante de microbiota fecal es un punto clave del proceso para garantizar la seguridad del receptor. Es necesario disponer de protocolos de actuación que permitan a los clínicos actuar con las máximas garantías y minimizar los riesgos del procedimiento. Por este motivo, en Cataluña se ha constituido un grupo de trabajo multidisciplinario con el objetivo de establecer unas recomendaciones para la selección del donante de microbiota fecal.

Fecal microbiota transplantation (FMT) is an effective and safe treatment to treat recurrent Clostridioides difficile infection. It is essential to make every effort to perform FMT rigorously and based on scientific knowledge. Selection of the fecal microbiota donor is a key point of the process to ensure recipient safety. It is necessary to have protocols of action that allow clinicians to act with the maximum guarantees and to minimize the risks of the procedure. For this reason, a multidisciplinary working group has been set up in Cataluña with the aim of establishing recommendations for the selection of the fecal microbiota donor.

Changes in the gut microbiota and risk of colonization by multidrug-resistant bacteria, infection, and death in critical care patients.

OBJECTIVES: This study aimed to investigate whethehr the diversity and composition of the intestinal microbiota determines the risk of multidrug-resistant organism (MDRO) acquisition, infection, and mortality in patients admitted to a liver intensive care unit (ICU). METHODS: This prospective study included patients admitted to a 12-bed ICU between July and December 2018. Rectal swabs to detect MDRO intestinal colonization were obtained at ICU admission and weekly thereafter during the ICU stay. The 16S rRNA gene sequencing was performed on 138 rectal swabs from 62 patients. We evaluated the potential association between gut microbiota composition and diversity and the risk of MDRO colonization, infection, and hospital mortality. RESULTS: Of the patients studied, 19 of 62 (30.65%) presented with MDRO colonization at admission, 16 (25.81%) were colonized during their stay, and 27 (43.55%) were not colonized; 45 of 62 patients (72.58%) developed an infection, and mortality was 29.03% (18 of 62). Higher bacterial diversity and abundance of Bacillales Family XI incertae sedis and Prevotella families were associated with a lower risk of colonization by MDRO, infection, and death (linear discriminant analysis effect size score >4), whereas the Enterococcaceae family was associated with an increased risk of infection and death (linear discriminant analysis effect size score >4). The LASSO regression and multivariate analysis identified Family XI incertae sedis to be associated with a lower risk of infection (OR: 0.997; 95% CI, 0.996-0.999; p = 0.001) and microbial evenness index to be associated with lower mortality risk (OR: 0.68; 95% CI, 0.49-0.95; p = 0.02). DISCUSSION: Microbial diversity and abundance of certain bacterial taxa could have prognostic value in patients admitted to a critical care unit. Larger perspective studies should address the value of these markers in clinical practice.

Recommendations for stool donor selection for fecal microbiota transplant. Consensus document endorsed by the Catalan Society of Digestology, Catalan Society of Infectious diseases and Clinical Microbiology and the GEMBIOTA group from Spanish Society of Infectious Diseases and Clinical Microbiology.

Fecal microbiota transplantation (FMT) is an effective and safe treatment to treat recurrent Clostridioides difficile infection. It is essential to make every effort to perform FMT rigorously and based on scientific knowledge. Selection of the fecal microbiota donor is a key point of the process to ensure recipient safety. It is necessary to have protocols of action that allow clinicians to act with the maximum guarantees and to minimise the risks of the procedure. For this reason, a multidisciplinary working group has been set up in Cataluña with the aim of establishing recommendations for the selection of the fecal microbiota donor.

Lack of Prognostic Value of SARS-CoV2 RT-PCR Cycle Threshold in the Community.

The immense impact of the COVID-19 pandemic on health systems has motivated the scientific community to search for clinical prognostic factors for SARS-CoV-2 infection. Low cycle threshold values (Ct) of diagnostic real-time RT-PCR assays in hospitalized patients have been associated with a poor prognosis in several studies, whereas other studies did not find this association. We explored whether SARS-CoV-2 Ct values at diagnosis were associated with a poor outcome (admission to hospital and death) in 604 community patients diagnosed at primary health centers. Although lower Ct values were found in patients who died of COVID-19, the Ct value was not significantly associated with a worse outcome in a multivariate analysis, while age remained an independent prognostic factor. We did not find evidence to support the role of Ct values as a prognostic factor of COVID-19 in community cases.

Improved diagnosis of gastrointestinal infections using a semi-automated multiplex real-time PCR for detection of enteropathogens.

Introduction. The identification of enteropathogens is critical for the clinical management of patients with suspected gastrointestinal infection. The FLOW multiplex PCR system (FMPS) is a semi-automated platform (FLOW System, Roche) for multiplex real-time PCR analysis.Hypothesis/Gap Statement. FMPS has greater sensitivity for the detection of enteric pathogens than standard methods such as culture, biochemical identification, immunochromatography or microscopic examination.Aim.The diagnostic performance of the FMPS was evaluated and compared to that of traditional microbiological procedures.Methodology. A total of 10 659 samples were collected and analysed over a period of 7 years. From 2013 to 2018 (every July to September), samples were processed using standard microbiological culture methods. In 2019, the FMPS was implemented using real-time PCR to detect the following enteropathogens: Shigella spp., Salmonella spp., Campylobacter spp., Giardia intestinalis, Entamoeba histolytica, Blastocystis hominis, Cryptosporidum spp., Dientamoeba fragilis, adenovirus, norovirus and rotavirus. Standard microbiological culture methods (2013-2018) included stool culture, microscopy and immunochromatography.Results. A total of 1078 stool samples were analysed prospectively using the FMPS from July to September (2019): bacterial, parasitic and viral pathogens were identified in 15.3, 9.71 and 5.29 % of cases, respectively. During the same period of 6 years (2013-2018), the proportion of positive identifications using standard microbiological methods from 2013 to 2018 was significantly lower. A major significant recovery improvement was observed for all bacteria species tested: Shigella spp./enteroinvasive Escherichia coli (EIEC) (P <0.05), Salmonella spp. (P <0.05) and Campylobacter spp. (P <0.05). Marked differences were also observed for the parasites G. intestinalis, Cryptosporidium spp. and D. fragilis.Conclusion. These results support the value of multiplex real-time PCR analysis for the detection of enteric pathogens in laboratory diagnosis with outstanding performance in identifying labile micro-organisms. The identification of unsuspected micro-organisms for less specific clinical presentations may also impact on clinical practice and help optimize patient management.

A Novel Framework for Phenotyping Children With Suspected or Confirmed Infection for Future Biomarker Studies.

Background: The limited diagnostic accuracy of biomarkers in children at risk of a serious bacterial infection (SBI) might be due to the imperfect reference standard of SBI. We aimed to evaluate the diagnostic performance of a new classification algorithm for biomarker discovery in children at risk of SBI. Methods: We used data from five previously published, prospective observational biomarker discovery studies, which included patients aged 0- <16 years: the Alder Hey emergency department (n = 1,120), Alder Hey pediatric intensive care unit (n = 355), Erasmus emergency department (n = 1,993), Maasstad emergency department (n = 714) and St. Mary's hospital (n = 200) cohorts. Biomarkers including procalcitonin (PCT) (4 cohorts), neutrophil gelatinase-associated lipocalin-2 (NGAL) (3 cohorts) and resistin (2 cohorts) were compared for their ability to classify patients according to current standards (dichotomous classification of SBI vs. non-SBI), vs. a proposed PERFORM classification algorithm that assign patients to one of eleven categories. These categories were based on clinical phenotype, test outcomes and C-reactive protein level and accounted for the uncertainty of final diagnosis in many febrile children. The success of the biomarkers was measured by the Area under the receiver operating Curves (AUCs) when they were used individually or in combination. Results: Using the new PERFORM classification system, patients with clinically confident bacterial diagnosis ("definite bacterial" category) had significantly higher levels of PCT, NGAL and resistin compared with those with a clinically confident viral diagnosis ("definite viral" category). Patients with diagnostic uncertainty had biomarker concentrations that varied across the spectrum. AUCs were higher for classification of "definite bacterial" vs. "definite viral" following the PERFORM algorithm than using the "SBI" vs. "non-SBI" classification; summary AUC for PCT was 0.77 (95% CI 0.72-0.82) vs. 0.70 (95% CI 0.65-0.75); for NGAL this was 0.80 (95% CI 0.69-0.91) vs. 0.70 (95% CI 0.58-0.81); for resistin this was 0.68 (95% CI 0.61-0.75) vs. 0.64 (0.58-0.69) The three biomarkers combined had summary AUC of 0.83 (0.77-0.89) for "definite bacterial" vs. "definite viral" infections and 0.71 (0.67-0.74) for "SBI" vs. "non-SBI." Conclusion: Biomarkers of bacterial infection were strongly associated with the diagnostic categories using the PERFORM classification system in five independent cohorts. Our proposed algorithm provides a novel framework for phenotyping children with suspected or confirmed infection for future biomarker studies.

Kawasaki Disease Patient Stratification and Pathway Analysis Based on Host Transcriptomic and Proteomic Profiles.

The aetiology of Kawasaki disease (KD), an acute inflammatory disorder of childhood, remains unknown despite various triggers of KD having been proposed. Host 'omic profiles offer insights into the host response to infection and inflammation, with the interrogation of multiple 'omic levels in parallel providing a more comprehensive picture. We used differential abundance analysis, pathway analysis, clustering, and classification techniques to explore whether the host response in KD is more similar to the response to bacterial or viral infections at the transcriptomic and proteomic levels through comparison of 'omic profiles from children with KD to those with bacterial and viral infections. Pathways activated in patients with KD included those involved in anti-viral and anti-bacterial responses. Unsupervised clustering showed that the majority of KD patients clustered with bacterial patients on both 'omic levels, whilst application of diagnostic signatures specific for bacterial and viral infections revealed that many transcriptomic KD samples had low probabilities of having bacterial or viral infections, suggesting that KD may be triggered by a different process not typical of either common bacterial or viral infections. Clustering based on the transcriptomic and proteomic responses during KD revealed three clusters of KD patients on both 'omic levels, suggesting heterogeneity within the inflammatory response during KD. The observed heterogeneity may reflect differences in the host response to a common trigger, or variation dependent on different triggers of the condition.

Stool donor recruitment - A one-year experience.

Stool donors for fecal microbiota transference (FMT) should be rigorously screened to identify any disorder in health status. The success of our screening protocol to identify eligible donors in the last year and a half was evaluated and compared with the published literature. The target population was medical students who responded to 3 public calls to donate stools. Qualified donors brought stool samples to our lab. Out of the 110 students who responded to the call, 26 were enrolled as study donors and delivered at least one stool sample. The main reason for volunteer exclusion was body mass index (BMI) <18.5kg/m2 or >25kg/m2 (n=11) and for the identification of ESBL Escherichia coli in feces (n=3). Our success rate after the screening protocol was considered high. Understanding the incentives to participate is critical to the success of recruitment strategies as FMT is still a little-known practice for general population.