OBJECTIVE: Neutrophils produce neutrophil extracellular traps (NETs) by releasing nuclear contents into the extracellular environment. NETs are associated with systemic inflammation and cancer development and progression. We aimed to investigate whether NET markers are associated with the prognosis of endometrial cancer.
METHODS: Circulating levels of three NET markers (histone-DNA complex, cell-free double-stranded DNA (dsDNA), and neutrophil elastase) were measured in 98 patients with endometrial cancer who underwent surgery as primary treatment between January 2015 and June 2018 and 45 healthy women. Area under the receiver operating characteristic curve (AUC) analyses were conducted to investigate the diagnostic and prognostic utility of the markers for endometrial cancer.
RESULTS: Patients with endometrial cancer showed significantly higher levels of the three NET markers than those in healthy controls. In discriminating endometrial cancer patients from healthy controls, the three NET markers showed AUC values in the following order: cell-free dsDNA (0.832; 95 % CI, 0.760-0.889), histone-DNA complex (0.740; 95 % CI, 0.660-0.809), and neutrophil elastase (0.689; 95 % CI, 0.607-0.764), comparable to those of CA-125 (0.741; 95 % CI, 0.659-0.813). Multivariate analysis adjusting for FIGO stage, histology, and lymphovascular space invasion, and lymph node involvement revealed that cell-free dsDNA level (cutoff: 95.2 ng/mL) was an independent prognostic marker for poor progression-free (adjusted HR, 2.75; 95 % CI, 1.096.92; P = 0.032) and overall survival (adjusted HR, 11.51; 95 % CI, 2.0664.22; P = 0.005) for patients with endometrial cancer.
CONCLUSIONS: High levels of circulating NET markers were observed in patients with endometrial cancer. Cell-free dsDNA levels may play a role as prognostic markers for endometrial cancer.

We sought to determine neutrophil extracellular trap (NET)-related genes\' potential value in improving the efficacy of diagnosis and identifying novel therapeutic targets for osteosarcoma. Data were obtained from TARGET, GEO, and CCLE database. Differentially expressed genes were identified between the subtypes based on NET-related genes. PPI network was constructed using STRING, following by ClueGO enrichment analysis. Infiltration of immune cells was calculated by ssGSEA. Risk Score model was built by LASSO Cox regression analysis. Western blot and qRT-PCR were applied to validate the expression of genes used in the model. We identified 19 NET-related genes with prognostic potential in osteosarcoma using univariate Cox regression analysis. Patients from TARGET were clustered into two subtypes with distinct prognosis and immune features. 381 DEGs were identified between the two NET subtypes. Risk Score based on BST1, SELPLG, FPR1 and TNFRSF10C was reliable to predict the prognosis of osteosarcoma patients. The four genes expressed significantly lower in osteosarcoma than normal cells. Low Risk Score individuals only existed in C1 subtype with better prognosis. Osteosarcoma were clustered into two subtypes based on NET-related genes. Risk Score model constructed by four NET-related gene was able to independently predict the prognosis of osteosarcoma.

Neutrophil extracellular trap (NET) formation is a unique self-defense mechanism of neutrophils; however, it is also involved in many diseases, including atherosclerosis. Resveratrol and catechin are antioxidants with anti-atherosclerotic properties. Here, we examined the effects of resveratrol, catechin, and other related compounds on NET formation. HL-60-derived neutrophils were pretreated with resveratrol and other compounds before stimulation with phorbol-myristate acetate (PMA). DNA and myeloperoxidase released from neutrophils were determined. Resveratrol suppressed the DNA release from neutrophils in a dose-dependent manner. NET formation was enhanced by 1-palmitoyl-2-oxovaleroyl phosphatidylcholine (POVPC), a truncated form of oxidized phospholipid, and resveratrol suppressed NET formation induced by POVPC and PMA. Furthermore, we designed several analogs of resveratrol or catechin whose conformation was restricted by the inhibition of the free rotation of aromatic rings. The conformationally constrained analogs were more effective at inhibiting NET formation; however, their inhibitory function decreased when compound was a large, hydrophobic analog. The most potent compounds, planar catechin and resveratrol, suppressed myeloperoxidase release from activated neutrophils. In addition, these compounds suppressed DNA release from neutrophils stimulated with calcium ionophore. These results suggest that resveratrol, catechin and their analogs exert anti-NET effects, and that constraining the geometry of these compounds enhanced their inhibitory effects.

Much of the fatality of tumors is linked to the growth of metastases, which can emerge months to years after apparently successful treatment of primary tumors. Metastases arise from disseminated tumor cells (DTCs), which disperse through the body in a dormant state to seed distant sites. While some DTCs lodge in pre-metastatic niches (PMNs) and rapidly develop into metastases, other DTCs settle in distinct microenvironments that maintain them in a dormant state. Subsequent awakening, induced by changes in the microenvironment of the DTC, causes outgrowth of metastases. Hence, there has been extensive investigation of the factors causing survival and subsequent awakening of DTCs, with the goal of disrupting these processes to decrease cancer lethality. We here provide a detailed overview of recent developments in understanding of the factors controlling dormancy and awakening in the lung, a common site of metastasis for many solid tumors. These factors include dynamic interactions between DTCs and diverse epithelial, mesenchymal, and immune cell populations resident in the lung. Paradoxically, among key triggers for metastatic outgrowth, lung tissue remodeling arising from damage induced by the treatment of primary tumors play a significant role. In addition, growing evidence emphasizes roles for inflammation and aging in opposing the factors that maintain dormancy. Finally, we discuss strategies being developed or employed to reduce the risk of metastatic recurrence.

UNASSIGNED: The accurate distinction between periprosthetic joint infections (PJI) and aseptic failures (AF) is of paramount importance due to differences in treatment. However, this could be challenging by using the current criteria. Various synovial fluid biomarkers are being assessed to improve the diagnostic accuracy. Myeloperoxidase (MPO), an enzyme contained in the granules of neutrophils, may be a promising biomarker for PJI.
UNASSIGNED: Synovial fluids of 99 patients (n = 65 PJI according to EBJIS criteria; n = 34 AF) were collected in two specialized orthopedic centers. PJI were divided into acute (n = 33) and low-grade (n = 32) according to previously published classification. An activity assay specific for active MPO was performed in each sample. Ability of MPO to correctly discriminate patients with PJI from AF was determined by ROC analysis. The best discriminating cut-off value was determined by calculating the J Youden index. For all analyses, a P value < 0.05 was considered statistically significant.
UNASSIGNED: Active MPO was higher in PJI than AF (P < 0.0001). The ROC analysis revealed a significant area under the curve (AUC: 0.86; 95% CI: 0.78-0.93, P < 0.0001). A cut-off value of 561.9 U/mL, with good sensitivity (0.69) and specificity (0.88), discriminated between AF and PJI (accuracy 75.76%, 95% CI: 66.11-83.81%, positive likelihood ratio 5.88, 95% CI: 2.31-14.98 and negative likelihood ratio 0.35, 95%CI: 0.24-0.51). No difference in MPO levels was found between acute and chronic low-grade PJI.
UNASSIGNED: The proposed assay appears to be a reliable and affordable tool for detecting the active MPO in synovial fluid, with promising characteristics of sensitivity and specificity in discriminating both acute and low-grade PJI from AF. Further studies are needed to confirm MPO diagnostic cut-off values and validate their use in the routine clinical practice.

UNASSIGNED: Neutrophil extracellular traps (NETs) constitute a crucial element of the immune system, and dysfunction in immune responses is implicated in the susceptibility and progression of Parkinson\'s disease (PD). Nevertheless, the mechanism connecting PD and NETs remains unclear. This study aims to uncover potential NETs-related immune biomarkers and elucidate their role in PD pathogenesis.
UNASSIGNED: Through differential gene analysis of PD and NETs in GSE7621 datasets, we identified two PD subtypes and explored potential biological pathways. Subsequently, using ClusterWGCNA, we pinpointed pertinent genes and developed clinical diagnostic models. We then optimized the chosen model and evaluated its association with immune infiltration. Validation was conducted using the GSE20163 dataset. Screening the single-cell dataset GSE132758 revealed cell populations associated with the identified gene.
UNASSIGNED: Our findings identified XGB as the optimal diagnostic model, with CAP2 identified as a pivotal gene. The risk model effectively predicted overall diagnosis rates, demonstrating a robust correlation between infiltrating immune cells and genes related to the XGB model.
UNASSIGNED: In conclusions, we identified PD subtypes and diagnostic genes associated with NETs, highlighting CAP2 as a pivotal gene. These findings have significant implications for understanding potential molecular mechanisms and treatments for PD.

BACKGROUND: Preeclampsia (PE) is a pregnancy-specific complication. Its etiology and pathogenesis remain unclear. Previous studies have shown that neutrophil extracellular traps (NETs) cause placental dysfunction and lead to PE. Human umbilical cord mesenchymal stem cell-derived exosomes (hUCMSC-EXOs) have been widely used to treat different diseases. We investigated whether hUCMSC-EXOs can protect against NET-induced placental damage.
METHODS: NETs were detected in the placenta by immunofluorescence. The impact of NETs on cellular function and the effect of hUCMSC-EXOs on NET-induced placental damage were evaluated by 5-ethynyl-20-deoxyuridine (EdU) cell proliferation, lactate dehydrogenase (LDH), reactive oxygen species (ROS), and cell migration, invasion and tube formation assays; flow cytometry; and Western blotting.
RESULTS: The number of placental NETs was increased in PE patients compared with control individuals. NETs impaired the function of endothelial cells and trophoblasts. These effects were partially reversed after N-acetyl-L-cysteine (NAC; ROS inhibitor) or DNase I (NET lysing agent) pretreatment. HUCMSC-EXOs ameliorated NET-induced functional impairment of endothelial cells and trophoblasts in vitro, partially reversed NET-induced inhibition of endothelial cell and trophoblast proliferation, and partially restored trophoblast migration and invasion and endothelial cell tube formation. Exosomes inhibited ROS production in these two cell types, suppressed p38 mitogen-activated protein kinase (p38 MAPK) signaling activation, activated extracellular signal-regulated kinase 1/2 (ERK1/2) signaling, and modulated the Bax, Bim, Bcl-2 and cleaved caspase-3 levels to inhibit apoptosis.
CONCLUSIONS: HUCMSC-EXOs can reverse NET-induced placental endothelial cell and trophoblast damage, possibly constituting a theoretical basis for the treatment of PE with exosomes.

This study aims to explore the potential mechanism of action in the intervention of acute lung injury(ALI) based on the blood entry components of Ganke Granules in rats and in conjunction with network pharmacology, molecular docking, and animal experimental validation. The blood entry components of Ganke Granules in rats were imported into the SwissTargetPrediction platform to predict drug targets, and ALI-related targets were collected from the disease database. Intersections were taken, and protein-protein interaction(PPI) networks were constructed to screen the core targets, followed by Gene Ontology(GO) functional and Kyoto encyclopedia of genes and gnomes(KEGG) pathway enrichment analyses. A "blood entry components-target-pathway-disease" network was constructed, and the core components for disease intervention based on their topological parameters were screened. Molecular docking was used to predict the binding ability of the core components to key targets. The key targets of Ganke Granules in the intervention of ALI were verified by the lipopolysaccharide(LPS)-induced ALI mouse model. Through PPI topological parameter analysis, the top six key targets of STAT3, SRC, HSP90AA1, MAPK3, HRAS, and MAPK1 related to ALI were obtained. GO functional analysis showed that it was mainly related to ERK1 and ERK2 cascade, inflammatory response, and response to LPS. KEGG analysis showed that the main enrichment pathways were MAPK, neutrophil extracellular trap(NET) formation, and so on. Six core components(schizantherin B, schisandrin, besigomsin, harpagoside, isotectorigenin, and trachelanthamine) were filtered out by the "blood entry components-target-pathway-disease" network based on the analysis of topological parameters. Molecular docking results showed that the six core components and Tectoridin with the highest content in the granules had a high affinity with the key targets of MAPK3, SRC, MAPK1, and STAT3. In vivo experiment results showed that compared with the model group, Ganke Granules could effectively alleviate LPS-induced histopathological injury in the lungs of mice and reduce the percentage of inflammatory infiltration. The total protein content, nitric oxide(NO) level, myeloperoxidase(MPO) content, tumor necrosis factor-α(TNF-α), gamma interferon(IFN-γ), interleukin-1β(IL-1β), interleukin-6(IL-6), vascular endothelial growth factor(VEGF), and chemokine(C-X-C motif) ligand 1(CXCL1) chemokines in bronchoalveolar lavage fluid(BALF) were decreased, and the expression levels of lymphocyte antigen 6G(Ly6G), citrullinated histones 3(Cit-H3), and phosphorylated proteins SRC, ERK1/2, and STAT3 in lung tissue were significantly down-regulated. In conclusion, Ganke Granules could effectively inhibit the inflammatory response of ALI induced by LPS, protect lung tissue, regulate the release of inflammatory factors, and inhibit neutrophil infiltration and NET formation, and the mechanism of action may be related to inhibiting the activation of SRC/ERK1/2/STAT3 signaling pathway.

Liver metastasis stands as the primary contributor to mortality among patients diagnosed with colorectal cancer (CRC). Neutrophil extracellular traps (NETs) emerge as pivotal players in the progression and metastasis of cancer, showcasing promise as prognostic biomarkers. Our objective is to formulate a predictive model grounded in genes associated with neutrophil extracellular traps and identify novel therapeutic targets for combating CRLM. We sourced gene expression profiles from the Gene Expression Omnibus (GEO) database. Neutrophil extracellular trap-related gene set was obtained from relevant literature and cross-referenced with the GEO datasets. Differentially expressed genes (DEGs) were identified through screening via the least absolute shrinkage and selection operator regression and random forest modeling, leading to the establishment of a nomogram and subtype analysis. Subsequently, a thorough analysis of the characteristic gene CYP4F3 was undertaken, and our findings were corroborated through immunohistochemical staining. We identified seven DEGs (ATG7, CTSG, CYP4F3, F3, IL1B, PDE4B, and TNF) and established nomograms for the occurrence and prognosis of CRLM. CYP4F3 is highly expressed in CRC and colorectal liver metastasis (CRLM), exhibiting a negative correlation with CRLM prognosis. It may serve as a potential therapeutic target for CRLM. A novel prognostic signature related to NETs has been developed, with CYP4F3 identified as a risk factor and potential target for CRLM.

Psychological stress increases risk of gastrointestinal tract diseases. However, the mechanism behind stress-induced gastrointestinal injury is not well understood. The objective of our study is to elucidate the putative mechanism of stress-induced gastrointestinal injury and develop an intervention strategy. To achieve this, we employed the restraint stress mouse model, a well-established method to study the pathophysiological changes associated with psychological stress in mice. By orally administering gut-nonabsorbable Evans blue dye and monitoring its plasma levels, we were able to track the progression of gastrointestinal injury in live mice. Additionally, flow cytometry was utilized to assess the viability, death, and inflammatory status of splenic leukocytes, providing insights into the stress-induced impact on the innate immune system associated with stress-induced gastrointestinal injury. Our findings reveal that neutrophils represent the primary innate immune leukocyte lineage responsible for stress-induced inflammation. Splenic neutrophils exhibited elevated expression levels of the pro-inflammatory cytokine IL-1, cellular reactive oxygen species, mitochondrial burden, and cell death following stress challenge compared to other innate immune cells such as macrophages, monocytes, and dendritic cells. Regulated cell death analysis indicated that NETosis is the predominant stress-induced cell death response among other analyzed regulated cell death pathways. NETosis culminates in the formation and release of neutrophil extracellular traps, which play a crucial role in modulating inflammation by binding to pathogens. Treatment with the NETosis inhibitor GSK484 rescued stress-induced neutrophil extracellular trap release and gastrointestinal injury, highlighting the involvement of neutrophil extracellular traps in stress-induced gastrointestinal inflammation. Our results suggest that neutrophil NETosis could serve as a promising drug target for managing psychological stress-induced gastrointestinal injuries.