Divergent biological pathways distinguish community-acquired pneumonia from COVID-19 despite similar plasma cytokine profiles.

Background: Pulmonary infections, ranging from mild respiratory issues to severe multiorgan failure, pose a major global health threat. The immune response in community-acquired pneumonia (CAP) and COVID-19 influences disease severity and outcomes, but molecular pathogenesis differs across pathogens. Comparisons of plasma cytokine profiles between CAP and COVID-19 are limited.

Effect of Inhaled Volatile and IV Anesthetics on Biological Markers of Inflammation in Adult ICU and Thoracic Surgical Patients: A Systematic Review and Meta-Analysis.

Objectives: Inhaled anesthetics may reduce alveolar and systemic inflammation in surgical and critically ill patients. This study aimed to perform a systematic review and meta-analysis comparing the effect of inhaled volatile and IV anesthetics on alveolar and plasma cytokines in patients with surgical or medical acute lung injury.

Data Sources: Medline, Embase, and Cochrane CENTRAL databases from 2000 to July 2021.

Metabolomic alterations in human brain microvascular endothelial cells induced by traumatic injury.

Introduction: Altered metabolic pathways are critical in the progression of traumatic brain injury (TBI). Identifying differentially abundant metabolites (DAMs) from specific cell types can offer valuable diagnostic and prognostic insights.

Objective: This study aimed to characterize the metabolomic profile of injured human brain microvascular endothelial cells (hBMEC) at 2-, 12-, 24-, and 48 h post-injury.

Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN.

Understanding the interplay among clinical variables-such as demographics, symptoms, and laboratory results-and their relationships with disease outcomes is critical for advancing diagnostics and understanding mechanisms in complex diseases. Existing methods fail to capture indirect or directional relationships, while existing Bayesian network learning methods are computationally expensive and only infer general associations without focusing on disease outcomes. Here we introduce random walk- and genetic algorithm-based network inference (RAMEN), a method for Bayesian network inference that uses absorbing random walks to prioritize outcome-relevant variables and a genetic algorithm for efficient network refinement.

Neutralizing antibodies to SARS-CoV-2 variants of concern: a pediatric surveillance study.

Knowledge regarding the pediatric immune response to SARS-CoV-2 infection and/or vaccination remains limited, particularly for the variants of concern (VOC). Our objective was to evaluate the neutralizing antibody response against SARS-CoV-2 VOC in the naturally infected and/or vaccinated pediatric population. Participants aged 5-12 years who presented to either an outpatient clinic or emergency room were eligible for participation in this study.

Application of Human Plasma/Serum to Cell Culture In Vitro: A Translational Research Approach to Better Define Disease Mechanisms.

In vitro cell culture experiments play an important role in medical research. Various cellular mechanisms and signaling pathways have been identified with in vitro experimental techniques. Unfortunately, the clinical and translational impact of these studies is often limited due to their inability to closely resemble physiological or pathophysiological milieus in cell culture and the use of unrealistic experimental conditions.

Functional mass spectrometry indicates anti-protease and complement activity increase with COVID-19 severity.

Investigations on some innate immunity proteins can yield misleading information, as investigators often rely on static measurements and assume a direct correlation to function. As protein function is often not directly proportional to protein abundance, and mechanistic pathways are interconnected and under constant feedback regulatory control, functional analysis is required. In this study, we used functional mass spectrometry to measure anti-protease and complement activity in plasma obtained from coronavirus disease 2019 (COVID-19) patients.

Differential expression of plasma proteins and pathway enrichments in pediatric diabetic ketoacidosis.

Background: In children with type 1 diabetes (T1D), diabetic ketoacidosis (DKA) triggers a significant inflammatory response; however, the specific effector proteins and signaling pathways involved remain largely unexplored. This pediatric case-control study utilized plasma proteomics to explore protein alterations associated with severe DKA and to identify signaling pathways that associate with clinical variables.

Methods: We conducted a proteome analysis of plasma samples from 17 matched pairs of pediatric patients with T1D; one cohort with severe DKA and another with insulin-controlled diabetes.

Putative biomarkers of hepatic dysfunction in critically ill sepsis patients.

Sepsis is a major cause of morbidity and mortality worldwide. Among the various types of end-organ damage associated with sepsis, hepatic injury is linked to significantly higher mortality rates compared to dysfunction in other organ systems. This study aimed to investigate potential biomarkers of hepatic injury in sepsis patients through a multi-center, case-control approach.

Metabolomic signature of pediatric diabetic ketoacidosis: key metabolites, pathways, and panels linked to clinical variables.

Background: Diabetic ketoacidosis (DKA) is a serious complication of type 1 diabetes (T1D), arising from relative insulin deficiency and leading to hyperglycemia, ketonemia, and metabolic acidosis. Early detection and treatment are essential to prevent severe outcomes. This pediatric case-control study utilized plasma metabolomics to explore metabolic alterations associated with DKA and to identify predictive metabolite patterns.

Circulating IL-17F, but not IL-17A, is elevated in severe COVID-19 and leads to an ERK1/2 and p38 MAPK-dependent increase in ICAM-1 cell surface expression and neutrophil adhesion on endothelial cells.

Background: Severe COVID-19 is associated with neutrophilic inflammation and immunothrombosis. Several members of the IL-17 cytokine family have been associated with neutrophilic inflammation and activation of the endothelium. Therefore, we investigated whether these cytokines were associated with COVID-19.

Investigating the Risk Factors Associated With Acute Neurologic Dysfunction in Pediatric Hyperglycemic Emergencies on Transport.

Objective: This study aims to identify key characteristics of hyperglycemic emergencies in pediatric patients and those at risk for acute neurologic dysfunction during transport.

Methods: We conducted a retrospective chart review of pediatric patients during interfacility transport by Ornge, Ontario's critical care transport service, from January 1, 2009, to December 31, 2019. Data were extracted from electronic patient care records and included demographic, clinical, and transport-specific variables.

Plasma Biomarkers of Traumatic Brain Injury in Adolescents With Sport-Related Concussion.

Importance: Blood-based biomarkers may clarify underlying neuropathology and potentially assist in clinical management of adolescents with sport-related concussion (SRC).

Objective: To investigate the association between SRC and plasma biomarkers in adolescents.

Design, Setting, And Participants: Prospective cohort study in Canadian sport and clinic settings (Surveillance in High Schools and Community Sport to Reduce Concussions and Their Consequences study; September 2019 to November 2022).

The plasma proteome differentiates the multisystem inflammatory syndrome in children (MIS-C) from children with SARS-CoV-2 negative sepsis.

Background: The Multi-System Inflammatory Syndrome in Children (MIS-C) can develop several weeks after SARS-CoV-2 infection and requires a distinct treatment protocol. Distinguishing MIS-C from SARS-CoV-2 negative sepsis (SCNS) patients is important to quickly institute the correct therapies. We performed targeted proteomics and machine learning analysis to identify novel plasma proteins of MIS-C for early disease recognition.

Pediatric sepsis inflammatory blood biomarkers that correlate with clinical variables and severity of illness scores.

Background: Sepsis is a dysregulated systemic inflammatory response triggered by infection, resulting in organ dysfunction. A major challenge in clinical pediatrics is to identify sepsis early and then quickly intervene to reduce morbidity and mortality. As blood biomarkers hold promise as early sepsis diagnostic tools, we aimed to measure a large number of blood inflammatory biomarkers from pediatric sepsis patients to determine their predictive ability, as well as their correlations with clinical variables and illness severity scores.

Pivoting injury prevention efforts during a pandemic: results of an international survey.

Background: The COVID-19 a pandemic changed the world. Public health directives to socially distance with stay-at-home orders altered injury risk factor exposure, resulting injury patterns and conducting injury prevention (IP). The objective of this study was to determine the impact the COVID-19 pandemic on injury and IP at North American trauma centers (TC).

Use of Biostatistical Models to Manage Replicate Error in Concussion Biomarker Research.

Importance: Advancing research on fluid biomarkers associated with sport-related concussion (SRC) highlights the importance of detecting low concentrations using ultrasensitive platforms. However, common statistical practices may overlook replicate errors and specimen exclusion, emphasizing the need to explore robust modeling approaches that consider all available replicate data for comprehensive understanding of sample variation and statistical inferences.

Objective: To evaluate the impact of replicate error and different biostatistical modeling approaches on SRC biomarker interpretation.