Publications by authors named "Kaforou M"

Objectives: To assess characteristics and outcomes of children with suspected or confirmed infection requiring emergency transport and PICU admission and to explore the association between the 2024 Phoenix Sepsis Score (PSS) criteria and mortality.

Design: Retrospective analysis of curated data from a 2014-2016 multicenter cohort study.

Setting: PICU admission following emergency transport in South East England, United Kingdom, from April 2014 to December 2016.

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Blood transcriptional biomarkers of acute viral infections typically reflect type 1 interferon (IFN) signalling, but it is not known whether there are biological differences in their regulation that can be leveraged for distinct translational applications. We use high frequency sampling in the SARS-CoV-2 human challenge model to show induction of IFN-stimulated gene (ISG) expression with different temporal and cellular profiles. MX1 gene expression correlates with a rapid and transient wave of ISG expression across all cell types, which may precede PCR detection of replicative infection.

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Multisystem inflammatory syndrome in children (MIS-C) is a rare condition following SARS-CoV-2 infection associated with intestinal manifestations. Genetic predisposition, including inborn errors of the OAS-RNAseL pathway, has been reported. We sequenced 154 MIS-C patients and utilized a novel statistical framework of gene burden analysis, "burdenMC," which identified an enrichment for rare predicted-deleterious variants in BTNL8 (OR = 4.

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  • Diagnosing pediatric tuberculosis (TB) is complicated, but changes in host gene expression in blood can help identify biomarkers and improve understanding of the immune response in children with TB.* -
  • The study involved stimulating blood samples from 102 children with confirmed TB, TB infection, pneumonia, and healthy controls, and analyzing the gene expression differences using microarrays.* -
  • Researchers identified specific gene signatures that effectively distinguish TB from pneumonia, with high accuracy (AUC of 100% for one gene and 91.7% for a combination of two genes), paving the way for new diagnostic tests aligned with WHO standards.*
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  • Food protein-induced enterocolitis syndrome (FPIES) is a food allergy mostly affecting infants, characterized by severe vomiting and shock, and its diagnosis can be delayed due to unclear genetic markers.
  • This study analyzed the genomes of 41 FPIES patients, identifying significant genetic variants linked to the syndrome, including genes that may influence immune response and gut health.
  • The results enhance understanding of FPIES' genetic basis and could pave the way for better diagnosis, treatment, and prevention strategies in the future.
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Extracellular vesicles (EVs) mediate intercellular communication by carrying molecular cargo that facilitate diverse physiological processes. Macrophages, playing central roles in immune responses, release EVs that modulate various cellular functions. Given the distinct roles of M1 and M2 macrophage states, understanding the proteomic profiles of their EVs is important for elucidation of EV-mediated signalling and identifying potential biomarkers for diseases involving macrophage polarisation.

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Severe febrile illnesses in children encompass life-threatening organ dysfunction caused by diverse pathogens and other severe inflammatory syndromes. A comparative approach to these illnesses may identify shared and distinct features of host immune dysfunction amenable to immunomodulation. Here, using immunophenotyping with mass cytometry and cell stimulation experiments, we illustrate trajectories of immune dysfunction in 74 children with multi-system inflammatory syndrome in children (MIS-C) associated with SARS-CoV-2, 30 with bacterial infection, 16 with viral infection, 8 with Kawasaki disease, and 42 controls.

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Background: Whole blood host transcript signatures show great potential for diagnosis of infectious and inflammatory illness, with most published signatures performing binary classification tasks. Barriers to clinical implementation include validation studies, and development of strategies that enable simultaneous, multiclass diagnosis of febrile illness based on gene expression.

Methods: We validated five distinct diagnostic signatures for paediatric infectious diseases in parallel using a single NanoString nCounter® experiment.

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  • Next-generation sequencing technologies and computational advances have enhanced our understanding of gene expression regulation, leading to increased interest in using transcriptomic biomarkers for disease diagnosis, prognosis assessment, and treatment prediction.
  • Despite progress in identifying transcriptomic signatures, challenges such as patient variability and technical integration still complicate their use in standard clinical diagnostics.
  • The article proposes a computational framework that accounts for cross-platform implementation constraints during signature discovery, aiming to facilitate the integration of RNA signatures from high-throughput technologies into nucleic acid amplification methods for clinical use.
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Background: Sepsis is defined as dysregulated host response to infection that leads to life-threatening organ dysfunction. Biomarkers characterising the dysregulated host response in sepsis are lacking. We aimed to develop host gene expression signatures to predict organ dysfunction in children with bacterial or viral infection.

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Background: Multisystem inflammatory syndrome in children (MIS-C) is a rare but serious hyperinflammatory complication following infection with severe acute respiratory syndrome coronavirus 2. The mechanisms underpinning the pathophysiology of MIS-C are poorly understood. Moreover, clinically distinguishing MIS-C from other childhood infectious and inflammatory conditions, such as Kawasaki disease or severe bacterial and viral infections, is challenging due to overlapping clinical and laboratory features.

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  • Induced hypothermia, a common treatment for hypoxic-ischemic encephalopathy (HIE), is less effective in South Asia despite the region having a high disease burden compared to high-income countries.
  • This study aimed to compare blood genome expression profiles of neonates with HIE from high-income countries (Italy) and low-income countries (India, Sri Lanka, and Bangladesh) to understand differences in outcomes.
  • The findings revealed variations in blood expression profiles at birth linked to adverse outcomes and highlighted differing responses to treatment in the two cohorts of neonates.
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  • Differentiating between self-resolving viral infections and bacterial infections in children with fever is challenging and can lead to improper use of antibiotics; this study aims to identify host protein biomarkers that could help distinguish between these infections.
  • The research used a multi-cohort approach and high-dimensional proteomic datasets from various European studies to shortlist potential protein biomarkers by performing several analyses and tests on collected samples.
  • A sparse protein signature was successfully identified, which distinguishes between bacterial and viral infections, and its effectiveness was validated through Luminex assays and disease risk score calculations.
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  • - The study investigates how the upper respiratory tract (URT) viral load of SARS-CoV-2 impacts infection transmission, focusing on the differences between URT and lower respiratory tract viral loads and their relation to disease severity.
  • - Researchers collected data from COVID-19 patients in Spain, using RNA sequencing and transcriptome analysis of blood and nasal epithelium to explore gene expression in relation to URT viral load within two weeks of symptom onset.
  • - Among 82 patients, a significant correlation was found between Natural Killer (NK) cells and URT viral load, and specific gene expression modules linked to interferon levels were identified as influential, providing insights that could aid in treatment and vaccine development.
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  • Antibiotic overprescription in pediatric emergency departments (EDs) contributes to antimicrobial resistance, prompting a study on empiric antibiotic use in European EDs for febrile children.
  • Out of 2130 febrile cases studied, 72.7% were classified as bacterial and 27.3% as viral, with 85.1% of bacterial and 46.3% of viral cases receiving empiric systemic antibiotics within the first two days.
  • A large portion of patients with viral infections were still given antibiotics, typically from the WHO's "Watch" category, highlighting the need for better diagnostic methods in EDs to accurately distinguish between bacterial and viral infections.
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Background: Although Kawasaki disease is commonly regarded as a single disease entity, variability in clinical manifestations and disease outcome has been recognised. We aimed to use a data-driven approach to identify clinical subgroups.

Methods: We analysed clinical data from patients with Kawasaki disease diagnosed at Rady Children's Hospital (San Diego, CA, USA) between Jan 1, 2002, and June 30, 2022.

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Background: Appropriate treatment and management of children presenting with fever depend on accurate and timely diagnosis, but current diagnostic tests lack sensitivity and specificity and are frequently too slow to inform initial treatment. As an alternative to pathogen detection, host gene expression signatures in blood have shown promise in discriminating several infectious and inflammatory diseases in a dichotomous manner. However, differential diagnosis requires simultaneous consideration of multiple diseases.

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Background: The PERFORM study aimed to understand causes of febrile childhood illness by comparing molecular pathogen detection with current clinical practice.

Methods: Febrile children and controls were recruited on presentation to hospital in 9 European countries 2016-2020. Each child was assigned a standardized diagnostic category based on retrospective review of local clinical and microbiological data.

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Mechanisms of infection and pathogenesis have predominantly been studied based on differential gene or protein expression. Less is known about posttranslational modifications, which are essential for protein functional diversity. We applied an innovative glycoproteomics method to study the systemic proteome-wide glycosylation in response to infection.

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Background: To identify a diagnostic blood transcriptomic signature that distinguishes multisystem inflammatory syndrome in children (MIS-C) from Kawasaki disease (KD), bacterial infections, and viral infections.

Methods: Children presenting with MIS-C to participating hospitals in the United Kingdom and the European Union between April 2020 and April 2021 were prospectively recruited. Whole-blood RNA Sequencing was performed, contrasting the transcriptomes of children with MIS-C (n = 38) to those from children with KD (n = 136), definite bacterial (DB; n = 188) and viral infections (DV; n = 138).

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Background: Distinguishing bacterial and viral infections based on clinical symptoms in febrile children attending the emergency department (ED) is challenging. The aim of this study is to determine a novel combination of host protein biomarkers and to assess its performance in distinguishing between bacterial and viral infection in febrile children attending EDs.

Methods: A literature search was performed to identify blood protein biomarkers able to distinguish bacterial and viral infections (May 2015-May 2019).

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Real-time polymerase chain reaction (qPCR) enables accurate detection and quantification of nucleic acids and has become a fundamental tool in biological sciences, bioengineering and medicine. By combining multiple primer sets in one reaction, it is possible to detect several DNA or RNA targets simultaneously, a process called multiplex PCR (mPCR) which is key to attaining optimal throughput, cost-effectiveness and efficiency in molecular diagnostics, particularly in infectious diseases. Multiple solutions have been devised to increase multiplexing in qPCR, including techniques, using target-specific fluorescent oligonucleotide probes, and where segregation of the sample enables parallel amplification of multiple targets.

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Background: Multisystem inflammatory syndrome in children (MIS-C), a hyperinflammatory condition associated with SARS-CoV-2 infection, has emerged as a serious illness in children worldwide. Immunoglobulin or glucocorticoids, or both, are currently recommended treatments.

Methods: The Best Available Treatment Study evaluated immunomodulatory treatments for MIS-C in an international observational cohort.

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