OBJECTIVES: To investigate the value of peripheral blood monocyte-to-lymphocyte ratio (MLR) and neutrophil-to-lymphocyte ratio (NLR) in evaluating the severity and prognosis of pediatric viral encephalitis (VE). METHODS: A retrospective analysis was performed for the clinical data of 268 children with VE who were admitted to the Department of Pediatrics, Zhucheng People's Hospital, from February 2020 to September 2024. According to the Glasgow Coma Scale (GCS) score, the children were divided into critical group (109 children; GCS score ≤8) and non-critical group (159 children; GCS score >8). According to the results of Glasgow Outcome Scale after follow-up for six months, the children were divided into poor prognosis group (84 children; grade 1-3) and good prognosis group (184 children; grade 4-5). The influencing factors for disease severity and prognosis were analyzed, and the value of peripheral blood MLR and NLR in predicting disease severity and prognosis was assessed. RESULTS: The multivariate logistic regression analysis showed that high neutrophil (NEU) count, high MLR, high NLR, and low lymphocyte (LYM) count were closely associated with the critical condition and poor prognosis in children with VE (P<0.05). The receiver operating characteristic curve analysis showed that MLR and NLR had an area under the curve (AUC) of 0.772 and 0.883, respectively, for predicting critical illness in children with VE (P<0.05), as well as an AUC of 0.715 and 0.930, respectively, for predicting poor prognosis (P<0.05). CONCLUSIONS Peripheral blood MLR and NLR are associated with critical condition and poor prognosis and can be used as biomarkers for assessing the disease severity and prognosis in children with VE on admission.
Humans ; Prognosis ; Male ; Female ; Child, Preschool ; Child ; Retrospective Studies ; Neutrophils ; Lymphocytes ; Infant ; Encephalitis, Viral/diagnosis* ; Monocytes ; Adolescent ; Logistic Models ; ROC Curve

Neutrophils, as the most abundant immune cells in the human body, possess the inherent ability to rapidly migrate to sites of inflammation and infection. Novel drug delivery systems leveraging neutrophils capitalize on their natural targeting and phagocytic capabilities to achieve precise drug delivery. Efficient drug loading into neutrophils within neutrophil-based delivery systems can be achieved through physical adsorption, chemical conjugation, and phagocytosis. Design strategies emphasize carrier selection and targeting ligand design to enhance delivery precision. Compared to traditional drug delivery systems, neutrophil-based systems offer significant advantages, including excellent biocompatibility and strong tissue penetration. These properties can significantly improve drug bioavailability and reduce adverse reactions associated with non-target tissue accumulation. However, these systems also face several challenges that require resolution, such as difficulties in cell collection and preservation, the need for stability optimization, challenges in large-scale production, and a lengthy clinical translation cycle. In disease treatment applications, neutrophil-based drug delivery systems enable precise delivery of anti-cancer drugs to tumor sites, potentially disrupting immunosuppression of the tumor microenvironment and enhancing therapeutic efficacy. For brain diseases, their unique ability to cross the blood-brain barrier facilitates effective drug delivery. In chronic inflammatory diseases, neutrophil-based systems can precisely deliver anti-inflammatory agents to mitigate inflammation. Performance enhancements for neutrophil-based systems can be achieved by the development of novel nanomaterials and optimization of targeting ligand affinity, thereby improving the accuracy and efficiency of drug delivery. This review comprehensively explores the design strategies, advantages, challenges, and future directions of neutrophil-based drug delivery systems. It summarizes research progress in disease treatment applica-tions, aiming to offer key insights for the development of novel drug delivery systems and advance precision medicine and targeted therapy.
Humans ; Drug Delivery Systems/methods* ; Neutrophils ; Phagocytosis ; Drug Carriers ; Blood-Brain Barrier ; Neoplasms/drug therapy*

Lung cancer is the malignant tumor with the highest mortality rate worldwide. The tumor microenvironment (TME) is a key factor in the progression of lung cancer, composed of tumor cells, signaling molecules, fibroblasts, immune cells, etc. Among them, tumor associated neutrophil (TAN), as an important component of immune cells in the TME, plays multiple roles in tumor cell proliferation, invasion, angiogenesis, and metastasis due to its aberrant function, and is closely associated with poor prognosis. However, there are limited researches on the mechanism of TAN in lung cancer. This review aims to provide more scientific basis for studying the therapeutic targets of lung cancer and developing new drugs by elucidating the different subtypes of TAN and their mechanisms of action in the occurrence and development of lung cancer.
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Humans ; Neutrophils/pathology* ; Lung Neoplasms/pathology* ; Tumor Microenvironment ; Animals

Lung cancer is one of the most common and lethal malignancies in China. In the context of the tumor microenvironment, neutrophil extracellular traps (NETs) released by neutrophils exert a profound impact on the occurrence and progression of lung cancer. Although the exact mechanisms by which NETs promote tumor growth have not been fully elucidated, existing research has revealed their multiple roles in tumor growth, invasion, metastasis, and cancer-related thrombosis. This article will review the molecular biology mechanisms and research progress of NETs in lung cancer based on recent studies.
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Extracellular Traps/metabolism* ; Humans ; Lung Neoplasms/drug therapy* ; Neutrophils/immunology* ; Animals ; Tumor Microenvironment

Neutrophil extracellular traps (NETs), intricate reticular structures released by activated neutrophils, play a pivotal regulatory role in the pathogenesis of malignant tumors. Lung cancer is one of the most prevalent malignancies globally, with persistently high incidence and mortality rates. Recent studies have revealed that NETs dynamically modulate the tumor microenvironment through unique pathological mechanisms, exhibiting complex immunoregulatory characteristics during the progression of lung cancer, and this discovery has increasingly become a focal point in tumor immunology research. This paper provides a comprehensive review of the latest advancements in NETs research related to lung cancer, offering an in-depth analysis of their impact on lung cancer progression, their potential diagnostic value, and the current state of research on targeting NETs for lung cancer prevention and treatment. The aim is to propose novel strategies to enhance therapeutic outcomes and improve the prognosis for lung cancer patients.
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Extracellular Traps/immunology* ; Humans ; Lung Neoplasms/metabolism* ; Neutrophils/metabolism* ; Animals ; Tumor Microenvironment

OBJECTIVE: To explore the application value of joint detection of serum neutrophil-to-lymphocyte ratio (NLR), prostate-specific antigen (PSA) and MMP26 in differentiating prostate cancer (PCa) from benign prostatic hyperplasia (BPH). METHODS: A total of 61 PCa patients (PCa group) and 63 BPH patients (BPH group) who were treated in The Affiliated Huaian Hospital of Xuzhou Medical University from May 2022 to May 2024 were retrospectively included. The relevant clinical data of all subjects were collected with the serum NLR, PSA and MMP26 levels being detected. Multivariate logistic regression analysis was used to analyze the influencing factors in differentiating PCa from BPH. The receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value of serum NLR, PSA and MMP26 in differentiating PCa from BPH. RESULTS: The levels of TC and LDL-C in the PCa group were higher than those in the BPH group. And the level of HDL-C in the PCa group was lower than that in the BPH group (P<0.05). The serum levels of NLR, PSA and MMP26 in the PCa group were higher than those in the BPH group (P<0.05). The results of multivariate logistic regression analysis showed that NLR, PSA and MMP26 were risk factors for the diagnosis of PCa in patients (P<0.05). The ROC results showed that the area under the curve (AUC) of NLR, PSA MMP26 and joint diagnosis in the identification of PCa was 0.804, 0.800, 0.809 and 0.905, respectively. The comparison results of AUC showed that the joint diagnosis was superior to the single diagnosis (Z=2.262, 2.177, 2.002, P<0.05). CONCLUSION The joint detection of serum NLR, PSA and MMP26 has significant application value in the differentiation of PCa and BPH, which is expected to become an effective tool for early screening and diagnosis of PCa.
Humans ; Male ; Prostatic Hyperplasia/blood* ; Prostate-Specific Antigen/blood* ; Diagnosis, Differential ; Prostatic Neoplasms/blood* ; Retrospective Studies ; Neutrophils ; Lymphocytes ; ROC Curve ; Aged ; Middle Aged

OBJECTIVES: Hypertriglyceridemic acute pancreatitis (HTG-AP) has a rapid onset and is associated with a high risk of progression and recurrence. Early identification of patients at risk of severe disease can help reduce the likelihood of multiple organ failure and mortality. This study aims to investigate the changes in inflammatory composite markers and D-dimer (D-D) levels in young and middle-aged/elderly patients with HTG-AP and to evaluate their predictive value for disease progression. METHODS: A total of 230 patients with HTG-AP admitted to Chongqing University Jiangjin Hospital (Jiangjin Central Hospital) between 2017 and 2023 were retrospectively enrolled. Patients were first divided into a young group (≤45 years) and a middle-aged/elderly group (>45 years), and then stratified into mild and severe groups based on disease severity. Inflammatory composite markers, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), C-reactive protein-to-lymphocyte ratio (CLR), systemic inflammation response index (SIRI), systemic immune inflammation index (SII), as well as D-D levels, were compared among groups. Least absolute shrinkage and selection operator (LASSO) regression and Logistic regression were used to identify independent risk factors for disease progression in each age group. Receiver operating characteristic (ROC) curves and the DeLong test were used to assess and compare the predictive performance (area under the curve, AUC) of risk factors. Internal validation was performed using the bootstrap method (n=1 000). RESULTS: No significant differences in NLR, PLR, MLR, SIRI, SII, CLR, or D-D levels were observed between the young (n=127) and middle-aged/elderly (n=103) groups (all P>0.05). Among young patients, the severe group (n=59) had significantly higher NLR, SIRI, SII, CLR, and D-D levels compared to the mild group (n=68) (all P<0.05). Among middle-aged/elderly patients, CLR and D-D levels were significantly higher in the severe group (n=49) than in the mild group (n=54) (P<0.05). LASSO and Logistic regression analyses identified elevated D-D as an independent risk factor for disease progression in young patients (P=0.007, OR=1.458, 95% CI 1.107 to 1.920), while both D-D (P=0.001, OR=2.267, 95% CI 1.413 to 3.637) and CLR (P=0.003, OR=1.007, 95% CI 1.003 to 1.012) were independent risk factors in middle-aged/elderly patients. ROC analysis showed that D-D predicted disease progression in young and middle-aged/elderly patients with AUCs of 0.653 and 0.741, sensitivities of 67.8% and 57.1%, and specificities of 72.1% and 88.9%, respectively. CLR predicted progression in middle-aged/elderly patients with an AUC of 0.687, sensitivity of 63.3%, and specificity of 70.4%. DeLong test showed no significant difference in AUC between D-D and CLR for middle-aged/elderly patients (Z=0.993, P=0.321). Internal validation via bootstrap analysis yielded a D-D AUC of 0.732, with sensitivity and specificity of 68.1% and 91.0%, respectively. CONCLUSIONS Differences in inflammatory response and coagulation function exist across age groups and disease severities in HTG-AP patients. Elevated D-D is an independent predictor of disease progression in both young and middle-aged/elderly patients, while CLR also predicts progression in the latter group. D-D, in particular, demonstrates strong predictive value for severe disease in middle-aged/elderly patients with HTG-AP.
Humans ; Fibrin Fibrinogen Degradation Products/metabolism* ; Disease Progression ; Middle Aged ; Pancreatitis/etiology* ; Male ; Female ; Retrospective Studies ; Adult ; Biomarkers/blood* ; Hypertriglyceridemia/blood* ; Acute Disease ; Predictive Value of Tests ; Aged ; Inflammation ; C-Reactive Protein/analysis* ; Neutrophils ; Age Factors

Objective:Inflammation has been confirmed to play an important role in the occurrence and development of sudden sensorineural hearing loss（SSNHL）, and the neutrophil-to-lymphocyte ratio（NLR） is a biomarker positively correlated with the degree of inflammation. This study aims to identify the difference in serum NLR between patients with SSNHL and normal population, and to evaluate the predictive efficacy of NLR for the occurrence and prognosis of SSNHL, thereby guiding the clinical diagnosis and treatment of SSNHL. Methods:In this study, 96 patients diagnosed with SSNHL admitted to our department from January 2023 to March 2024 and 96 patients diagnosed with vocal cord polyps admitted to our department during the same period were recruited as a control group. Multivariate Logistic regression was used to evaluate independent related factors, and a nomogram was constructed to predict the probability of SSNHL. The receiver operating characteristic（ROC） curve and calibration curve were used to evaluate the accuracy of prediction. Results:Multivariate logistic regression analysis showed that a high level NLR（OR2.215; 95%CI1.597-3.073; P<0.001） were independently associated with the presence of SSNHL. High age（OR1.036; 95%CI1.009-1.067; P=0.012）, high FIB（OR2.35; 95%CI1.176-4.960; P=0.019） were the risk factor for SSNHL. Incorporating these 3 factors, a forest plot and a nomogram were generated. The ROC curve, nomogram and calibration curve showed that the model had good clinical practicability. A low NLR（OR0.598; 95%CI0.439-0.816; P<0.001） was significantly associated with a favorable prognosis of SSNHL. Conclusion:Elevated NLR can serve as an promising biomarker for assessing the risk of SSNHL. The nomograms calculation model may be utilized as a tool to estimate the probability of SSNHL. Low level NLR is significantly associated with a good prognosis of SSNHL.
Humans ; Neutrophils ; Female ; Male ; Lymphocytes ; Hearing Loss, Sensorineural/blood* ; Hearing Loss, Sudden/diagnosis* ; Middle Aged ; Prognosis ; Nomograms ; ROC Curve ; Adult ; Logistic Models ; Biomarkers/blood* ; Lymphocyte Count ; Inflammation/blood* ; Clinical Relevance

Objective:To explore the predictive value of preoperative peripheral hematological parameters combined with clinicopathological features for cervical lymph node metastasis（CLNM） in patients with laryngeal squamous cell carcinoma（LSCC）, and to construct and validate a nomogram model for CLNM. Methods:A retrospective analysis was conducted on the clinical data of 264 LSCC patients who underwent surgical treatment and were pathologically confirmed, collected from the Second Affiliated Hospital of Shandong First Medical University and Taian 88 Hospital. Specifically, 161 patients from one hospital were allocated to the training cohort, while 103 patients from another hospital constituted the validation cohort. Based on postoperative pathological results, patients were categorized into CLNM-positive and CLNM-negative groups. The general clinical data, clinicopathological features, and hematological parameters of the two groups were analyzed and compared. A preoperative predictive model for CLNM was developed using logistic regression analysis, followed by validation and sensitivity analysis to evaluate the robustness of the model's predictive performance. Results:The results showed that there were significant differences in tumor location, tumor size, tumor differentiation, neutrophil percentage, lymphocyte count, lymphocyte percentage, c-reactive protein（CRP）, fibrinogen, neutrophil-to-lymphocyte ratio（NLR）, platelet-to-lymphocyte ratio（PLR）, systemic immune-inflammation index（SII）, systemic inflammation response index（SIRI）, and prognostic inflammatory index（PIV） between the CLNM-positive and CLNM-negative groups（P<0.05）. Lasso regression identified tumor location, clinical T stage, tumor size, tumor differentiation degree, red blood cell distribution width（RDW） -coefficient of variation（RDW-CV）, CRP, FIB, D-dimer, NLR, and lymphocyte-to-monocyte ratio（LMR） were the most predictive parameters. Multivariate logistic regression revealed that tumor location, tumor size, tumor differentiation degree, CRP, and NLR were independent risk factors for CLNM in LSCC patients（P<0.05）. A nomogram was constructed based on these five factors. The model demonstrated excellent discrimination, with a C-index of 0.837（95%CI 0.766-0.908） in the training cohort and 0.809（95%CI 0.698-0.920） in the validation cohort. Calibration curves and DCA curves in both cohorts confirmed the clinical utility of the model. Sensitivity analysis further supported the robustness of the results, showing good discrimination and calibration across different age and BMI subgroups. Conclusion:Tumor location, tumor size, tumor differentiation degree, CRP, and NLR were independent risk factors for CLNM in LSCC patients. The nomogram based on these variables exhibits strong discrimination, calibration, and clinical applicability, and may serve as a valuable tool for preoperative risk assessment and individualized treatment planning.
Humans ; Nomograms ; Laryngeal Neoplasms/blood* ; Retrospective Studies ; Lymphatic Metastasis ; Carcinoma, Squamous Cell/blood* ; Lymph Nodes/pathology* ; Male ; Female ; Middle Aged ; Neck ; C-Reactive Protein ; Aged ; Logistic Models ; Neutrophils ; Prognosis

The pathogenesis of chronic sinusitis is complex, involving a variety of inflammatory cells and inflammatory mediators, and neutrophils play a key role in the pathological process of chronic sinusitis. Understanding the molecular basis of the pathogenesis of CRS is helpful for the precise diagnosis and treatment of chronic sinusitis. This article will systematically review the mechanism of neutrophils in the inflammatory response of the body, their role in the pathogenesis and treatment progress in CRS, and look forward to future research directions.
Humans ; Neutrophils ; Sinusitis/immunology* ; Chronic Disease