High-dose vitamin C improves norepinephrine level in patients with septic shock: A single-center, prospective, randomized controlled trial.

BACKGROUND: The effects of vitamin C supplementation on patients with septic shock remain controversial. We aimed to evaluate the effects of different vitamin C dosages on norepinephrine (NE) synthesis in adult patients with septic shock. METHODS: A total of 58 patients with septic shock admitted to our intensive care unit (ICU) between July 2021 and December 2022 were included. Patients were randomly divided into 3 groups: high-dose vitamin C (150 mg/kg/d, group A), low-dose vitamin C (50 mg/kg/d, group B), and placebo (group C). NE synthesis-related indicators (dopamine-ß-hydroxylase [DßH], tyrosine hydroxylase [TH], tetrahydrobiopterin [BH4], and dopamine [DA]), plasma NE, and vitamin C levels were measured every 24 hours and analyzed. All-cause mortality within 28 days and other clinical outcomes (including Acute Physiology and Chronic Health Evaluation [APACHE], Sequential Organ Failure Assessment [SOFA], and Multiple-Organ Dysfunction Syndrome [MODS] scores) were compared. RESULTS: Changes in TH, BH4, and DßH levels at 96 hours in groups A and B were greater than those in group C. These differences became more pronounced over the course of the intravenous vitamin C administration. Significant differences between groups A and C were detected at 96-hours TH, 72-hours BH4, 96-hours BH4, 96-hours DA, and DßH levels every 24 hours. The 96-hours TH, 96-hours BH4, and 48-hours DßH in group B were significantly higher than those in group C. The NE levels every 24 hours in groups A and B were higher than those in group C, group A and group C had a statistically significant difference. The 96-hours exogenous NE dosage in groups A and B was significantly lower than that in group C. No significant reductions in APACHE, SOFA, or MODS scores were observed in the vitamin C group, including the duration of ICU stay and mechanical ventilation. The 28-days mortality was lower in groups A and B than in group C (0%, 10%, and 16.67%, P = .187), but the difference was not significant. CONCLUSION: For patients with septic shock, treatment with vitamin C significantly increased TH, BH4, and DßH levels and reduced the exogenous NE dosage, but did not significantly improve clinical outcomes.

Protective Effects of Sesamol on Renal Ischemia-Reperfusion Injury Via Regulation of Nuclear Factor Erythroid 2-Related Factor 2 Pathway.

BACKGROUND: Sesamol is a natural antioxidant known for its potent antioxidant and free radical scavenging properties. This study aimed to explore the therapeutic effects and underlying mechanisms of sesamol in the development of renal ischemia-reperfusion injury (IRI) in mice. METHODS: C57BL/6J wild-type mice were divided into 3 groups: IR group, treated with normal saline after undergoing the IRI procedure; Sesamol + IR group, treated with 30 mg/kg/d of sesamol after the IRI procedure; and Sham group, treated with normal saline but not subjected to the IRI process. Renal IRI was induced by performing a right kidney nephrectomy and subjecting the left kidney to 30-minute ischemia, followed by 24-hour reperfusion. Kidney tissues and serum were collected 24 hours post-IRI to assess the impact of sesamol on renal function after IRI. Serum creatinine and blood urea nitrogen levels were assessed, and renal cell apoptosis was detected through terminal deoxynucleotidyl transferase dUTP nick-end labeling staining. The levels of interleukin 1ß and interleukin 18 in kidney tissues, as well as indicators of oxidative stress, were also measured. Furthermore, Nrf2-deficient mice were used to examine the protective function of the nuclear factor erythroid 2-related factor 2 (Nrf2)/hemeoxygenase-1 (HO-1) and NAD(P)H dehydrogenase quinone 1 (NQO1) signaling pathways induced by sesamol, as determined by western blot assay. RESULTS: Sesamol demonstrated significant improvement in renal function, along with reductions in renal tubular injury, cell necrosis, and apoptosis in mice. It also effectively lowered key inflammatory mediator levels. Sesamol exhibited antioxidant properties by reducing malondialdehyde levels and enhancing superoxide dismutase activities 24 hours after IRI. Western blot assay revealed increased Nrf2, HO-1, and NQO-1 protein levels with sesamol treatment. Notably, Nrf2-deficient mice did not exhibit the beneficial effects of sesamol. CONCLUSIONS: This study demonstrates that sesamol effectively alleviates renal IRI by enhancing antioxidant defenses and reducing inflammation potentially through the Nrf2/HO-1 and NQO1 signaling pathways.

Characteristics and Clinical Prognosis of Septic Patients With Persistent Lymphopenia.

Background: Septic patients with persistent lymphopenia may be in an immunosuppressed state. Therefore, we evaluated and compared the clinical characteristics and outcomes of septic patients with persistent lymphopenia (≥2d) and those with nonpersistent lymphopenia. Methods: A retrospective cohort study was designed. A total of 1306 patients with sepsis who were attended to the First Affiliated Hospital of Dalian Medical University from March 2016 to August 2022 were included. The primary clinical outcome was 90d mortality. The secondary clinical outcomes were the length of stay, hospital mortality, 28d mortality, the incidence of secondary infection, and differences in clinical characteristics. Results: Among 1306 patients with sepsis, 913 (69.9%) patients developed persistent lymphopenia. Compared with patients with nonpersistent lymphopenia, patients with persistent lymphocytopenia were admitted to intensive care unit (75.7% vs 52.7%, P < .05), treated with mechanical ventilation (67.6% vs 39.2%, P < .05), positive rate of microbial culture pathogens (86.7% vs 71.2%, P < .05), SOFA [8.0 (6.0-10.0) vs 6.0 (4.0-8.0), P < .05], length of stay [17.0d (12.0-27.0) vs 13.0d (10.0-21.0), P < .05], hospital mortality (37.7% vs 24.2%, P < .05), 28d mortality (38.0% vs 22.9%, P < .05), and 90d mortality (51.2% vs 31.3%, P < .05) were higher. As the duration of lymphocytopenia increased, so did the mortality rate in hospital. In addition, the onset time of persistent lymphopenia was not associated with SOFA. But we found that the frequency of persistent lymphopenia during hospitalization was positively associated with SOFA. Conclusion: Septic patients with persistent lymphopenia have higher mortality, worse conditions, increased risk of secondary infection, and poor prognosis regardless of shock.

Experimental study of a novel mouse model of tibial shaft fracture combined with blunt chest trauma.

BACKGROUD: Thoracic Trauma and Limb Fractures Are the Two most Common Injuries in Multiple Trauma. However, there Is Still a Lack of Mouse Models of Trauma Combining Tibial Shaft Fracture (TSF) and Thoracic Trauma. In this Study, we Attempted to Develop a Novel Mouse Model of TSF Combined with Blunt Chest Trauma (BCT). METHODS: A total of 84 C57BL/6J male mice were used as the multiple trauma model. BCT was induced by hitting the chests of mice with heavy objects, and TSF was induced by hitting the tibia of mice with heavy objects after intramedullary fixation. Serum specimens of mice were received by cardiac puncture at defined time points of 0, 6, 12, 24, 48, and 72 h. RESULTS: Body weight and body temperature tended to decrease within 24 h after multiple trauma. Hemoglobin analyses revealed a decrease during the first 24 h after multiple trauma. Some animals died by cardiac puncture immediately after chest trauma. These animals exhibited the most severe pulmonary contusion and hemorrhage. The level of lung damage varied in diverse mice but was apparent in all animals. Classic hematoxylin and eosin (H&E)-stained paraffin pulmonary sections of mice with multiple trauma displayed hemorrhage and an immunoinflammatory reaction. Bronchoalveolar lavage fluid (BALF) and serum samples of mice with multiple trauma showed an upregulation of interleukin-1ß (IL-1ß), IL-6, and tumor necrosis factor-1α (TNF-1α) compared with the control group. Microimaging confirmed the presence of a tibia fracture and pulmonary contusion. CONCLUSIONS: The novel mouse multiple trauma model established in this study is a common trauma model that shows similar pathological mechanisms and imaging characteristics in patients with multiple injuries. This study is useful for determining whether blockade or intervention of the cytokine response is beneficial for the treatment of patients with multiple trauma. Further research is needed in the future.

Activating transcription factor 3: A potential therapeutic target for inflammatory pulmonary diseases.

BACKGROUND: Activating transcription factor 3 (ATF3) is a nuclear protein that is widely expressed in a variety of cells. It is a stress-inducible transcription gene and a member of the activating transcription factor/cAMP responsive element-binding protein (ATF/CREB) family. METHODS: The comprehensive literature review was conducted by searching PubMed and Google Scholar. Search terms used were "ATF3", "ATF3 and (ALI or ARDS)", "ATF3 and COPD", "ATF3 and PF", and "ATF3 and Posttranslational modifications". RESULTS: Recent studies have shown that ATF3 plays a critical role in many inflammatory pulmonary diseases, including acute lung injury (ALI)/acute respiratory distress syndrome (ARDS), chronic obstructive pulmonary disease (COPD), and pulmonary fibrosis (PF). ATF3 participates in many signaling pathways and complex pathophysiological processes, such as inflammation, immunity, endoplasmic reticulum stress, and cell proliferation. However, the role of ATF3 in current studies is controversial, and there are reports showing that ATF3 plays different roles in different pulmonary diseases. CONCLUSIONS: In this review, we first summarized the structure, function, and mechanism of ATF3 in various inflammatory pulmonary diseases. The impact of ATF3 on disease pathogenesis and the clinical implications was particularly focused on, with an overall aim to identify new targets for treating inflammatory pulmonary diseases.

Fucoxanthin inhibits gastric cancer lymphangiogenesis and metastasis by regulating Ran expression.

BACKGROUND: Lymph node metastasis is a key mechanism in gastric cancer (GC) metastasis and lymphangiogenesis is a vital step in the process of lymph node metastasis. Currently, there are no drugs which can treat lymph node metastasis in GC. Previous studies using the drug fucoxanthin have mainly focused on cell cycle arrest, induction of apoptosis, or inhibition of angiogenesis in GC. However, the effects of fucoxanthin on lymphangiogenesis and metastasis in GC have not been studied. METHODS: Cell counting kit 8 and transwell experiments were used to evaluate the inhibitory effect of fucoxanthin on cell proliferation, migration and invasion. HGC-27 and HLEC cells were co-cultured in a transwell chamber and the footpad metastasis model was established to evaluate lymphangiogenesis and lymph node metastasis. The possible regulatory targets of fucoxanthin in GC were analyzed using human tissue microarrays, bioinformatics analysis, and molecular docking. The regulatory pathway of fucoxanthin was verified using confocal laser microscopy, adenovirus transfection and western blotting. RESULTS: Tissue microarray and bioinformatics analyses showed that Ran was highly expressed in metastatic lymph nodes and has some predictive value for metastasis in GC. Molecular docking results revealed that fucoxanthin interacted with Met189 and Lys167 of Ran via hydrogen bonds. Mechanistically, fucoxanthin inhibits the nuclear transport of NF-κB by downregulating protein expression of Ran and importinß, thereby inhibiting VEGF-C secretion, and ultimately inhibiting tumor lymphangiogenesis and lymph node metastasis in vivo and in vitro. CONCLUSIONS: Fucoxanthin suppressed GC-induced lymphangiogenesis and metastasis in vitro and in vivo by regulating Ran expression via the importinß/NF-κB/VEGF-C nuclear transport signaling pathway. These novel findings provide the basis for the research and development of novel treatments using traditional Chinese medicine in treatment of lymph node metastasis, which has important theoretical significance and clinical value.

Effect of Early versus Delayed Use of Norepinephrine on Short-Term Outcomes in Patients with Traumatic Hemorrhagic Shock: A Propensity Score Matching Analysis.

Background: Guidelines recommend norepinephrine (NE) for the treatment of fatal hypotension caused by trauma. However, the optimal timing of treatment remains unclear. Objective: We aimed to investigate the effect of early versus delayed use of NE on survival in patients with traumatic haemorrhagic shock (HS). Materials and Methods: From March 2017 to April 2021, 356 patients with HS in the Department of Emergency Intensive Care Medicine of the Affiliated Hospital of Yangzhou University were identified using the emergency information system and inpatient electronic medical records for inclusion in the study. Our study endpoint was 24 h mortality. We used a propensity score matching (PSM) analysis to reduce bias between groups. Survival models were used to evaluate the relationship between early NE and 24 h survival. Results: After PSM, 308 patients were divided equally into an early NE (eNE) group and a delayed NE (dNE) group. Patients in the eNE group had lower 24 h mortality rates than those in the dNE group (29.9% versus 44.8%, respectively). A receiver operating characteristic analysis demonstrated that a cut-off point for NE use of 4.4 h yielded optimal predictive value for 24 h mortality, with a sensitivity of 95.52%, a specificity of 81.33% and an area under the curve value of 0.9272. Univariate and multivariate survival analyses showed that the survival rate of patients in the eNE group was higher (p < 0.01) than those in the dNE group. Conclusion: The use of NE within the first 3 h was associated with a higher 24 h survival rate. The use of eNE appears to be a safe intervention that benefits patients with traumatic HS.

Astaxanthin alleviates lipopolysaccharide-induced acute lung injury by suppressing ferroptosis.

Background: Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are life-threatening disorders with a high risk of mortality. Astaxanthin (AST) is a supernatural antioxidant that has been extensively studied due to its role in immunomodulation, oxidative stress, and lipid peroxidation. However, the association between ferroptosis and AST is not well understood. The purpose of this study is to explore the regulatory role of AST on ferroptosis in lipopolysaccharide (LPS)-induced ALI. Methods: We established an MLE-12 cell injury model and a mouse ALI model by treating with LPS. The levels of IL-6, TNF-α, and IL-1ß in the mouse serum were measured using an enzyme-linked immunosorbent assay. Moreover, immunohistochemical, immunofluorescence, western blot, and quantitative real-time polymerase chain reaction analyses were conducted to examine the effects of AST and ferrostatin-1. Results: We discovered that AST pretreatment greatly alleviated LPS-induced lung injury and inhibited ferroptosis, which was demonstrated by a decrease in the accumulation of malondialdehyde and Fe2+ and an increase in the levels of glutathione and glutathione peroxidase 4 in the lung tissues of ALI mice and MLE-12 cells. Additionally, we found that AST also evidently suppressed ferritinophagy by upregulation of ferritin and downregulation of nuclear receptor co-activator 4 (NCOA4) in MLE-12 cells. Conclusions: AST pretreatment could lead to a relief of LPS-induced ALI, perhaps via suppressing ferroptosis, and could also reduce unstable iron accumulation by inhibiting NCOA4-mediated ferritin phagocytosis from mitigating lipid peroxidation and ferroptosis in lung epithelial cells.

Revealing novel pyroptosis-related therapeutic targets for sepsis based on machine learning.

BACKGROUND: Sepsis is one of the most lethal diseases worldwide. Pyroptosis is a unique form of cell death, and the mechanism of interaction with sepsis is not yet clear. The aim of this study was to uncover pyroptosis genes associated with sepsis and to provide early therapeutic targets for the treatment of sepsis. METHODS: Based on the GSE134347 dataset, sepsis-related genes were mined by differential expression analysis and weighted gene coexpression network analysis (WGCNA). Subsequently, the sepsis-related genes were analysed for enrichment, and a protein‒protein interaction (PPI) network was constructed. We performed unsupervised consensus clustering of sepsis patients based on 33 pyroptosis-related genes (PRGs) provided by prior reviews. We finally obtained the PRGs mostly associated with sepsis by machine learning prediction models combined with prior reviews. The GSE32707 dataset served as an external validation dataset to validate the model and PRGs via receiver operating characteristic (ROC) curves. The NetworkAnalyst online tool was utilized to create a ceRNA network of lncRNAs and miRNAs around PRGs mostly associated with sepsis. RESULTS: A total of 170 genes associated with sepsis and 13 hub genes were acquired by WGCNA and PPI network analysis. The results of the enrichment analysis implied that these genes were mainly involved in the regulation of the inflammatory response and the positive regulation of bacterial and fungal defence responses. The prolactin signalling pathway and IL-17 signalling pathway were the primary enrichment pathways. Thirty-three PRGs can effectively classify septic patients into two subtypes, implying that there is a reciprocal relationship between sepsis and pyroptosis. Eventually, NLRC4 was considered the PRG most strongly associated with sepsis. The validation results of the prediction model and NLRC4 based on ROC curves were 0.74 and 0.67, respectively, both of which showed better predictive values. Meanwhile, the ceRNA network consisting of 6 lncRNAs and 2 miRNAs was constructed around NLRC4. CONCLUSION: NLRC4, as the PRG mostly associated with sepsis, could be considered a potential target for treatment. The 6 lncRNAs and 2 miRNAs centred on NLRC4 could serve as a further research direction to uncover the deeper pathogenesis of sepsis.

Human herpesvirus 7 encephalitis in an immunocompetent adult and a literature review.

BACKGROUND: Human herpesvirus 7 (HHV-7) is a common virus that infects children early and is accompanied by lifelong latency in cells, which is easy to reactivate in immunodeficient adults, but the underlying pathological mechanism is uncertain in immunocompetent adults without peculiar past medical history. Even though the clinical manifestation of the encephalitis caused by HHV-7 is uncommon in immunocompetent adults, the HHV-7 infection should not be neglected for encephalitis for unknown reasons. CASE PRESENTATION: We reported here a case of HHV-7 encephalitis with epileptic seizures. While the brain computer tomography was standard, electroencephalography displayed slow waves in the temporal and bilateral frontal areas, then HHV-7 DNA was detected in the metagenomic next-generation sequencing of cerebrospinal fluid. Fortunately, the patient recovered after treatment and was discharged 2 months later. We also collected the related cases and explored a better way to illuminate the underlying mechanism. CONCLUSION: The case indicates clinicians should memorize HHV-7 as an unusual etiology of encephalitis to make an early diagnosis and therapy.

Prediction of factors influencing the timing and prognosis of early tracheostomy in patients with multiple rib fractures: A propensity score matching analysis.

Objective: To investigate the factors affecting the timing and prognosis of early tracheostomy in multiple rib fracture patients. Methods: A retrospective case-control study was used to analyze the clinical data of 222 patients with multiple rib fractures who underwent tracheotomy in the Affiliated Hospital of Yangzhou University from February 2015 to October 2021. According to the time from tracheal intubation to tracheostomy after admission, the patients were divided into two groups: the early tracheostomy group (within 7 days after tracheal intubation, ET) and late tracheostomy group (after the 7th day, LT). Propensity score matching (PSM) was used to eliminate the differences in baseline characteristics Logistic regression was used to predict the independent risk factors for early tracheostomy. Kaplan-Meier and Cox survival analyses were used to analyze the influencing factors of the 28-day survival. Results: According to the propensity score matching analysis, a total of 174 patients were finally included in the study. Among them, there were 87 patients in the ET group and 87 patients in the LT group. After propensity score matching, Number of total rib fractures (NTRF) (P < 0.001), Acute respiratory distress syndrome (ARDS) (P < 0.001) and Volume of pulmonary contusion(VPC) (P < 0.000) in the ET group were higher than those in the LT group. Univariate analysis showed that the patients who underwent ET had a higher survival rate than those who underwent LT (P = 0.021). Pearson's analysis showed that there was a significant correlation between NTRF and VPC (r = 0.369, P = 0.001). A receiver operating characteristic(ROC)curve analysis showed that the areas under the curves were 0.832 and 0.804. The best cutoff-value values of the VPC and NTRF were 23.9 and 8.5, respectively. The Cox survival analysis showed that the timing of tracheostomy (HR = 2.51 95% CI, 1.12-5.57, P = 0.004) and age (HR = 1.53 95% CI, 1.00-2.05, P = 0.042) of the patients had a significant impact on the 28-day survival of patients with multiple rib fractures. In addition, The Kaplan-Meier survival analysis showed that the 28-day survival of patients in the ET group was significantly better than that of the LT group, P = 0.01. Conclusions: NTRF, ADRS and VPC are independent risk factors for the timing and prognosis of early tracheotomy. A VPC ≥ 23.9% and/or an NTRF ≥ 8.5 could be used as predictors of ET in patients with multiple rib fractures. Predicting the timing of early tracheostomy also need prediction models in the future.

Potential ferroptosis-related diagnostic and prognostic biomarkers in laryngeal cancer.

PURPOSE: Laryngeal cancer (LC) is a common malignant tumor of the head and neck. However, the relationship between ferroptosis and LC is still unclear. The aim of this study was to identify potential ferroptosis-related biomarkers for diagnosis and prognosis in LC. METHODS: We screened differentially expressed genes (DEGs) related to ferroptosis in LC from the TCGA and FerrDb database. DEGs were identified and enrichment by GO/KEGG, GSEA, GSVA analysis. PPI analysis was performed using String and Cytoscape, then hub genes were extracted. Furthermore, ROC analysis, pan-cancer analysis, gene mutation analysis, immune infiltration correlation analysis and clinical correlation analysis of hub genes were performed. RESULTS: A total of 59 DEGs were screened, which were more significantly enriched in biological processes and involved in HIF-1 signaling pathway, serotonergic synapse and ferroptosis. A total of 29 significant gene set pathways of LC data were performed by GSEA analysis. The GSVA analysis obtained 53 significant differential gene set pathways. The top 20 genes were identified by PPI. ROC curves revealed four of the top20 genes had a good performance, which were CA9 (AUC = 0.930), MAPK3 (AUC = 0.915), MUC1 (AUC = 0.945), and NOX4 (AUC = 0.933). Subsequent analysis found that CDKN2A has the highest mutation frequency in the top 20 gene, and IFNG had a significant correlation with age, tumor stage, degree of tumor differentiation and lymphatic clearance surgery. CONCLUSION: Our study identified key genes closely related to ferroptosis in LC, which still need more studies to explore the mechanisms involved and may become effective clinical diagnostic and prognostic biomarkers.

Bioinformatics Analysis Screened and Identified Key Genes as Potential Biomarkers for Progression of Lung Cancer.

OBJECTIVE: To screen and identify key genes as potential biomarkers of lung cancer using bioinformatics analysis. STUDY DESIGN: Observational study. PLACE AND DURATION OF STUDY: Department of Critical Care Medicine, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China, from August 2018 to April 2021. METHODOLOGY: Independent microarray datasets (GSE85841 and GSE118370) were downloaded from the Gene Expression Omnibus (GEO) database and the differentially expressed genes (DEGs) were screened using GEO2R. Cytohubba was employed to identify the hub genes. Cellular component analysis, hierarchical clustering, and survival analyses of hub genes were performed via BiNGO, UCSC, and cBioPorta. A series of analyses of FGF2 and PIK3R1 were conducted using Oncomine. RESULTS: A total of 463 DEGs were identified and 11 hub genes were determined. BDNF, FGF2, JAK2, NCAM1, CAV1, TJP1, and PIK3R1 may affect the survival probability and life expectancy of lung cancer patients, but the p-values were not statistically significant. FGF2 and PIK3R1 had the highest node degrees, 40 and 32 respectively. The expression of FGF2 and PIK3R1 were significantly lower in the 4 lung cancer data sets compared with non-lung cancer tissues. And the low expression of FGF2 and PIK3R1 is related to tumor grades, family history of cancer, multiple tumors present, and prior therapy of lung cancer. CONCLUSION: Evaluation of FGF2 and PIK3R1 as potential biomarkers can contribute to the subsequent theoretical analysis of potential molecular mechanisms and development of lung cancer, so that the diagnosis of lung cancer may be more accurate, and it is possible to provide therapeutic and prognostic medicine targets. KEY WORDS: Lung neoplasms, Differentially expressed genes, Bioinformatical analysis, Microarray analysis, biomarkers.

Cardiomyocyte death in sepsis: Mechanisms and regulation (Review).

Sepsis­induced cardiac dysfunction is one of the most common types of organ dysfunction in sepsis; its pathogenesis is highly complex and not yet fully understood. Cardiomyocytes serve a key role in the pathophysiology of cardiac function; due to the limited ability of cardiomyocytes to regenerate, their loss contributes to decreased cardiac function. The activation of inflammatory signalling pathways affects cardiomyocyte function and modes of cardiomyocyte death in sepsis. Prevention of cardiomyocyte death is an important therapeutic strategy for sepsis­induced cardiac dysfunction. Thus, understanding the signalling pathways that activate cardiomyocyte death and cross­regulation between death modes are key to finding therapeutic targets. The present review focused on advances in understanding of sepsis­induced cardiomyocyte death pathways, including apoptosis, necroptosis, mitochondria­mediated necrosis, pyroptosis, ferroptosis and autophagy. The present review summarizes the effect of inflammatory activation on cardiomyocyte death mechanisms, the diversity of regulatory mechanisms and cross­regulation between death modes and the effect on cardiac function in sepsis to provide a theoretical basis for treatment of sepsis­induced cardiac dysfunction.

Identifying the Phenotypes of Sepsis that will Benefit from Red Blood Cell Transfusion Using Unsupervised Cluster Analysis.

BACKGROUND: Sepsis is a heterogeneous syndrome. Previous studies have shown controversial results of the effects of red blood cell transfusion (RBC) on the clinical outcomes of septic patients. This study aimed to identify the phenotypes of sepsis that will benefit from RBC transfusion. METHODS: Clinical data were extracted from the Medical Information Mart for Intensive Care III database. The study population included adult (age ≥ 18 years) septic patients with moderate non-bleeding anemia (hemoglobin ≤ 10 g/dL) within 24 hours after admission to the intensive care unit (ICU) between 2001 and 2012. After data preprocessing, partitioning around medoids function was used for unsupervised cluster analysis. We used Kaplan-Meier survival analysis and multivariable Cox proportional hazard models to explore the relationship between RBC transfusion and mortality. RESULTS: In total, 6,821 septic patients with moderate non-bleeding anemia within 24 hours after ICU admission, and 3,874 patients (56.8%) received RBC transfusion during their stay in the ICU. Using unsupervised cluster analysis, we identified three phenotypes of septic patients with moderate non-bleeding anemia: cluster A (n = 1,835) was characterized by advanced age and heart issues; cluster B (n = 3,043) was characterized by mild disease and relatively high hemoglobin levels; and cluster C (n = 1,943) was characterized by severe disease, low mean arterial pressure, bloodstream infection, coagulopathy, high lactate levels, and high mortality. Only for patients in cluster C, RBC transfusion exhibited protective effects in terms of the 14-day [hazard ratio (HR), 0.50; 95% confidence interval (CI), 0.41 - 0.61; p < 0.001], 28-day (HR, 0.61; 95% CI, 0.51 - 0.72; p < 0.001), and 90-day (HR, 0.67; 95% CI, 0.58 - 0.78; p < 0.001) mortality after adjusting the confounding variables. CONCLUSIONS: Utilizing unsupervised cluster analysis, we identified three phenotypes of septic patients with moderate non-bleeding anemia who had different responses to RBC transfusion. In the future, randomized controlled trials about prognostic outcomes of RBC transfusions can focus on the specific phenotype of sepsis.

Individualized resuscitation strategy for septic shock formalized by finite mixture modeling and dynamic treatment regimen.

BACKGROUND: Septic shock comprises a heterogeneous population, and individualized resuscitation strategy is of vital importance. The study aimed to identify subclasses of septic shock with non-supervised learning algorithms, so as to tailor resuscitation strategy for each class. METHODS: Patients with septic shock in 25 tertiary care teaching hospitals in China from January 2016 to December 2017 were enrolled in the study. Clinical and laboratory variables were collected on days 0, 1, 2, 3 and 7 after ICU admission. Subclasses of septic shock were identified by both finite mixture modeling and K-means clustering. Individualized fluid volume and norepinephrine dose were estimated using dynamic treatment regime (DTR) model to optimize the final mortality outcome. DTR models were validated in the eICU Collaborative Research Database (eICU-CRD) dataset. RESULTS: A total of 1437 patients with a mortality rate of 29% were included for analysis. The finite mixture modeling and K-means clustering robustly identified five classes of septic shock. Class 1 (baseline class) accounted for the majority of patients over all days; class 2 (critical class) had the highest severity of illness; class 3 (renal dysfunction) was characterized by renal dysfunction; class 4 (respiratory failure class) was characterized by respiratory failure; and class 5 (mild class) was characterized by the lowest mortality rate (21%). The optimal fluid infusion followed the resuscitation/de-resuscitation phases with initial large volume infusion and late restricted volume infusion. While class 1 transitioned to de-resuscitation phase on day 3, class 3 transitioned on day 1. Classes 1 and 3 might benefit from early use of norepinephrine, and class 2 can benefit from delayed use of norepinephrine while waiting for adequate fluid infusion. CONCLUSIONS: Septic shock comprises a heterogeneous population that can be robustly classified into five phenotypes. These classes can be easily identified with routine clinical variables and can help to tailor resuscitation strategy in the context of precise medicine.

Comparison of the gut microbiota of short-term and long-term medical workers and non-medical controls: a cross-sectional analysis.

OBJECTIVES: The hospital environment has been implicated in the enrichment and exchange of pathogens and antibiotic resistance, but its potential in shaping the symbiotic microbial community of hospital staff is unclear. This study was designed to evaluate the alteration of the gut microbiome in medical workers compared to non-medical controls. METHODS: A prospective cross-sectional cohort study was conducted in the intensive care unit (ICU) and other departments of a centre in north-eastern China. Faecal samples of 175 healthy medical workers-short-term (1-3 months) workers (n = 80) and long-term (>1 year) workers (n = 95)-and 80 healthy non-medical controls were analysed using 16S rRNA amplicon sequencing. The hospital environmental samples (n = 9) were also analysed. RESULTS: The gut microbiomes of medical workers exhibited marked deviations in diversity and alteration in microbial composition and function. Short-term workers showed significantly higher abundances of taxa such as Lactobacillus, Butyrivibrio, Clostridiaceae, Clostridium, Ruminococcus, Dialister, Bifidobacterium, Odoribacter, and Desulfovibrio and lower abundances of Bacteroides and Blautia than the controls. Long-term workers showed higher abundances of taxa such as Dialister, Veillonella, Clostridiaceae, Clostridium, Bilophila, Desulfovibrio, Pseudomonas, and Akkermansia and lower abundances of Bacteroides and Coprococcus than the controls. The medical workers' department (ICU versus non-ICU) and position (resident doctor versus nursing staff) also impacted their gut microbiome. Compared with the non-ICU workers, workers in the ICU showed a significant increase in the abundances of Dialister, Enterobacteriaceae, Phascolarctobacterium, Pseudomonas, Veillonella, and Streptococcus and a marked depletion of Faecalibacterium, Blautia, and Coprococcus. In contrast with the nursing staff, the resident doctors showed a significant increase in Erysipelotrichaceae and Clostridium and a decrease in Bacteroides, Blautia, and Ruminococcus in the gut microbiome. Moreover, we found that the microbiota of hospital environments potentially correlated with the workers' gut microbiota. CONCLUSIONS: Our findings demonstrated structural changes in the gut microbial community of medical workers.

Fucoxanthin: A promising compound for human inflammation-related diseases.

Fucoxanthin, a natural product of carotenoids, is a potential drug source obtained from marine algae. The special chemical structure of fucoxanthin has equipped it with a variety of biological activities. Several studies have indicated that fucoxanthin has a potential protective effect on a variety of inflammation-related diseases. This mechanism may be related to fucoxanthin's strong antioxidant capacity and gut microbiota regulation. The key molecules that require consideration include nuclear factor erythroid 2-related factor 2, Akt serine/threonine kinase/phosphatidylinositol-3-kinase, extracellular signal-regulated kinase, adenosine monophosphate (AMP)-dependent protein kinase, cAMP response element binding protein, and peroxisome proliferator-activated receptorγcoactivator-1α. The study summarizes the recent progress in the research based on the protective effect of fucoxanthin and its related molecular mechanism, in addition to the potential use of fucoxanthin as a promising compound for human inflammation-related diseases.