Oxygen-supplying nanotherapeutics for bacterial septic arthritis via hypoxia-relief-enhanced antimicrobial and anti-inflammatory phototherapy

Journal of Controlled Release, Journal Year: 2025, Volume and Issue: 380, P. 1043 - 1057

Published: Feb. 24, 2025

Language: Английский

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Sepsis phenotypes, subphenotypes, and endotypes: are they ready for bedside care?

Current Opinion in Critical Care, Journal Year: 2024, Volume and Issue: unknown

Published: June 7, 2024

Purpose of review Sepsis remains a leading global cause morbidity and mortality, despite decades research, no effective therapies have emerged. The lack progress in sepsis outcomes is related part to the significant heterogeneity populations. This seeks highlight recent literature regarding phenotypes potential for further research therapeutic intervention. Recent findings Numerous studies elucidated various phenotypes, subphenotypes, endotypes sepsis. Clinical parameters including vital sign trajectories microbial factors, biomarker investigation, genomic, transcriptomic, proteomic, metabolomic illustrated numerous differences populations with implications prediction, diagnosis, treatment, prognosis Summary care bundles, fluid resuscitation, source control procedures may be better guided by validated than universal application. Novel biomarkers improve upon sensitivity specificity existing markers identify complications sequelae Multiomics demonstrated populations, most notably expanding our understanding immunosuppressed phenotypes. Despite progress, these limited modest reproducibility logistical barriers clinical implementation. Further translate into bedside care.

Language: Английский

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Sepsis in liver failure patients: Diagnostic challenges and recent advancements

World Journal of Critical Care Medicine, Journal Year: 2025, Volume and Issue: 14(2)

Published: Feb. 27, 2025

Acute liver failure (ALF) and acute-on-chronic LF (ACLF) are prevalent hepatic emergencies characterized by an increased susceptibility to bacterial infections (BI), despite significant systemic inflammation. Literature indicates that 30%–80% of ALF patients 55%–81% ACLF develop BI, attributed immunological dysregulation. Bacterial sepsis in these is associated with adverse clinical outcomes, including prolonged hospitalization mortality. Early detection critical; however, distinguishing between sterile inflammation poses a challenge due the overlapping presentations sepsis. Conventional biomarkers, such as procalcitonin C-reactive protein, have shown limited utility inconsistent results. In contrast, novel biomarkers like presepsin sTREM-1 demonstrated promising discriminatory performance this population, pending further validation. Moreover, emerging research highlights potential machine learning-based approaches enhance characterization. Although preliminary findings encouraging, studies necessary validate results across diverse patient cohorts, those LF. This article provides comprehensive review magnitude, impact, diagnostic challenges BI patients, focusing on advancements early

Language: Английский

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Identifying early predictive and diagnostic biomarkers and exploring metabolic pathways for sepsis after trauma based on an untargeted metabolomics approach

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 8, 2025

Abstract Systemic inflammatory response syndrome (SIRS) and organ dysfunction make it challenging to predict which major trauma patients are at risk of developing sepsis. Additionally, the unclear pathogenesis sepsis after contributes its high morbidity mortality. Identifying early predictive diagnostic biomarkers, as well exploring related metabolic pathways, is crucial for improving prevention, diagnosis, treatment. This study prospectively analyzed plasma samples from with severe collected between March 2022 November 2023. Trauma were divided into two groups based on whether they developed within weeks: TDDS group (trauma who did not develop sepsis) TDS sepsis). Plasma time diagnosis (Sepsis group). Metabolite concentrations measured using ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) through untargeted metabolomics. From differential metabolites groups, we identified five significant (all area under curve (AUC) ≥ 0.94) biomarkers trauma: (1) docosatrienoic acid, (2) 7-alpha-carboxy-17-alpha-carboxyethylandrostan lactone phenyl ester, (3) sphingomyelin (SM) 8:1;2O/26:1, (4) N1-[1-(3-isopropenylphenyl)-1-methylethyl]-3-oxobutanamide, (5) SM 34:2;2O. Furthermore, AUC 0.85) comparison groups: lysophosphatidylcholine (LPC) O-22:1, LPC O-22:0, uric O-24:2, 22:0-SN1. 26 shared comparisons (TDS vs. TDS) identified. Of which, 19 belong lipid metabolism. The top three pathways impact were: glycerophospholipid metabolism, porphyrin sphingolipid infection caffeine biosynthesis unsaturated fatty acids, steroid hormone biosynthesis. Our explored trauma. These findings provide a foundation future research onset development sepsis, facilitating treatment specific pathways.

Language: Английский

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Identifying biomarkers distinguishing sepsis after trauma from trauma-induced SIRS based on metabolomics data: a retrospective study

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 21, 2025

Abstract Sepsis after trauma and trauma-induced SIRS have similar symptoms, making their differentiation challenging. Therefore, biomarkers are needed to differentiate between sepsis SIRS. We hypothesized that following induces distinct alterations in blood metabolism compared sought identify metabolite could the two. In this retrospective study, existing metabolomics data from 60 patients without SIRS, 40 with 50 non-trauma control cases were analyzed. Among traumatic 16 developed (SDS group), 24 did not develop (SDDS group) within subsequent two-week period trauma. A pairwise comparison SDS group SDDS was used screen differential metabolites as distinguishing Using partial least‑squares discriminant analysis, we demonstrated metabolically group. total of 37 found selected 5 most significantly different groups discriminate which 7-alpha-carboxy-17-alpha-carboxyethylandrostan lactone phenyl ester, docosatrienoic acid, SM 8:1;2O/26:1, 34:2;2O, N1-[1-(3-isopropenylphenyl)-1-methylethyl]-3-oxobutanamide. Our study has identified potential these for differentiating This only provides a new approach early diagnosis but also lays solid foundation further research based on targeted metabolomics, may lead development more effective treatment strategies future.

Language: Английский

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The dysfunction of complement and coagulation in diseases: the implications for the therapeutic interventions

MedComm, Journal Year: 2024, Volume and Issue: 5(11)

Published: Oct. 23, 2024

Abstract The complement system, comprising over 30 proteins, is integral to the immune and coagulation system critical for vascular homeostasis. activation of systems involves an organized proteolytic cascade, overactivation these a central pathogenic mechanism in several diseases. This review describes role illness, particularly sepsis. complexities sepsis reveal significant knowledge gaps that can be compared profound abyss, highlighting urgent need further investigation exploration. It well recognized inflammatory network, coagulation, are mechanisms through which multiple factors contribute increased susceptibility infection may result disordered response during septic events patients. Given overlapping sepsis, immunomodulatory therapies currently under development beneficial patients with who have concurrent infections. Herein, we present recent findings regarding molecular relationships between pathways advancement propose potential intervention targets related crosstalk complement, aiming provide more valuable treatment

Language: Английский

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Identifying biomarkers distinguishing sepsis after trauma from trauma-induced SIRS based on metabolomics data: A retrospective study

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 16, 2024

Background Sepsis after trauma and trauma-induced SIRS may present with similar symptoms, so it is a great challenge to distinguish sepsis from SIRS. Besides, uncovers the occurrence of trauma. Thus, there need for biomarkers them. We hypothesized that leads different changes in blood metabolism than searched metabolite between two conditions. Methods This study retrospectively analyzed existing metabonomics data patients severe (100 cases), (50 non-trauma controls cases). screened out 40 100 then used pairwise comparison screen differential metabolites as distinguishing Results In total, 413 could differentiate Using partial least‑squares discriminant analysis, we showed was metabolically distinct The main were LPC O-22:1, uric acid, 23-Norcholic PC O-38:1, O-42:3 (AUC: 0.875 0.910). Conclusions Our has identified potential employing metabolic differentiation particular, demonstrated important These provide basis further research on identifying based targeted metabolomics.

Language: Английский

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