Objective The management of pulmonary nodules is a common clinical problem, and this study constructed a nomogram model based on FUT7 methylation combined with CT imaging features to predict the risk of adenocarcinoma in patients with pulmonary nodules. Methods The clinical data of 219 patients with pulmonary nodules diagnosed by histopathology at the First Affiliated Hospital of Zhengzhou University from 2021 to 2022 were retrospectively analyzed. The FUT7 methylation level in peripheral blood were detected, and the patients were randomly divided into training set (n=154) and validation set (n=65) according to proportion of 7:3. They were divided into a lung adenocarcinoma group and a benign nodule group according to pathological results. Single-factor analysis and multi-factor logistic regression analysis were used to construct a prediction model in the training set and verified in the validation set. The receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the model, the calibration curve was used to evaluate the consistency of the model, and the clinical decision curve analysis (DCA) was used to evaluate the clinical application value of the model. The applicability of the model was further evaluated in the subgroup of high-risk CT signs (located in the upper lobe, vascular sign, and pleural sign). Results Multivariate logistic regression analysis showed that female, age, FUT7_CpG_4, FUT7_CpG_6, sub-solid nodules, lobular sign and burr sign were independent risk factors for lung adenocarcinoma (P<0.05). A column-line graph prediction model was constructed based on the results of the multifactorial analysis, and the area under the ROC curve was 0.925 (95%CI 0.877 - 0.972 ), and the maximum approximate entry index corresponded to a critical value of 0.562, at which time the sensitivity was 89.25%, the specificity was 86.89%, the positive predictive value was 91.21%, and the negative predictive value was 84.13%. The calibration plot predicted the risk of adenocarcinoma of pulmonary nodules was highly consistent with the risk of actual occurrence. The DCA curve showed a good clinical net benefit value when the threshold probability of the model was 0.02 - 0.80, which showed a good clinical net benefit value. In the upper lobe, vascular sign and pleural sign groups, the area under the ROC curve was 0.903 (95%CI 0.847 - 0.959), 0.897 (95%CI 0.848 - 0.945), and 0.894 (95%CI 0.831 - 0.956). Conclusions This study developed a nomogram model to predict the risk of lung adenocarcinoma in patients with pulmonary nodules. The nomogram has high predictive performance and clinical application value, and can provide a theoretical basis for the diagnosis and subsequent clinical management of pulmonary nodules.
ObjectiveTo evaluate the monitoring value of brain injury biomarkers in the patients during extracorporeal membrane oxygenation (ECMO). MethodsWe searched PubMed, EMbase, the Cochrane Library, CNKI, and CBM from inception of each database to May 2015 to identify randomized controlled trials, or case-control trials, or cohort trials of brain injury biomarkers predict brain injury during ECMO. Data were extracted independently by two reviewers. Meta-analysis was conducted using STATA 12.0 software. ResultsFour retrospective trials were included. The results showed that compared with patients without brain injury, the patients with brain injury had a higher level of S100B protein (P < 0.05). The incidence of major neurological events was higher for high neuron-specific enolase level patients than mild-to-moderate neuron-specific enolase level patients (85% vs. 29%, P=0.01). The incidence of brain injury was higher for normal glial fibrillary acidic protein level than patients with glial fibrillary acidic protein > 0.436 ng/ml (OR=11.5, 95%CI 1.3-98.3). ConclusionsBrain injury biomarkers may be used as an indicator for earlier diagnosis of brain injury in patients during ECMO.
ObjectiveTo analyze the current development of researches on biomarkers for predicting the efficacy of immunotherapy in non-small cell lung cancer and to provide reference for subsequent studies. MethodsStudies on biomarkers for predicting the efficacy of immunotherapy for non-small cell lung cancer indexed in the Web of Science Core Collection from 2017 to 2021 were searched by computer. The annual distribution, journals, authors, countries, institutions, and keywords of studies were visualized and analyzed by CiteSpace. ResultsA total of 426 studies were collected, including 298 articles and 128 reviews. The average number of published studies was about 85, and increased year by year. PD-L1 expression, tumor mutational burden, tumor microenvironment and liquid biopsy were hot keywords in this field. ConclusionIn the future, combination of biomarkers in the liquid biopsy and tumor microenvironment with radiomics analysis will be the research hotspot and frontier in this field for more accurate assessment with tumor-related signatures such as lymphocytic immune status and characteristics of tumor lesions in non-small cell lung cancer patients.
Metaiodobenzylguanidine (MIBG) is an analog of norepinephrine that accumulates in sympathetic nerve endings soon after intravenous administration. The degree of accumulation reflects the uptake, storage and release of transmitters by noradrenergic neurons. Myocardial imaging with 123I labeled MIBG (123I-MIBG) can be used to estimate the extent of local myocardial sympathetic nerve damage, which has been widely used in the diagnosis and treatment of various heart diseases. In recent years, numerous studies have been carried out on the application of 123I-MIBG in the diagnosis of degenerative diseases of the nervous system (such as Parkinson's disease and dementia of Lewy body), and have made some achievements. The purpose of this review is to summarize the current clinical application of 123I-MIBG myocardial imaging in the diagnosis of dementia with Lewy bodies, the problems in imaging technology and the possible research directions in the future, so as to provide valuable reference information for clinicians to reasonably and accurately apply this technology in the early diagnosis and discrimination of dementia.
Although great progress has been achieved in the techniques and materials of cardiopulmonary bypass (CPB), cardiac surgery under CPB is still one of the surgeries with the highest complication rate. The systemic inflammatory response is an important cause of complications, mainly characterized by activation of innate immune cells and platelets, and up-regulation of inflammatory cytokines. After activation, a variety of molecules on the membrane surface are up-regulated or down-regulated, which can amplify tissue inflammatory damage by releasing cytoplasmic protease and reactive oxygen species, and activate multiple inflammatory signaling pathways in the cell, ultimately leading to organ dysfunction. Therefore, the expression of these cell membrane activation markers is not only a marker of cell activation, but also plays an important role in the process of vital organ injury after surgery. Identification of these specific activation markers is of great significance to elucidate the mechanisms related to organ injury and to find new prevention and treatment methods. This article will review the relationship between these activated biomarkers in the innate immune cells and vital organ injuries under CPB.
Objective To explore key genes and mechanisms of depression aggravating Crohn disease. Methods In March 2023, the Public Health Genomics and Precision Health Knowledge Base and Gene Expression Omnibus database were used to identify the overlapping differentially expressed genes between Crohn disease and depression and the key genes were screened by Metascape, STRING, Cytoscape, and protein interaction network analysis. The Gene Expression Omnibus database was used to analyze the correlations between key genes and clinical pathologies such as Crohn Disease Endoscopic Index of Severity and intestinal microvilli length. Results There were 137 overlapping differentially expressed genes between Crohn disease and depression, and 25 key genes were further screened out. Among them, CREB1, FKBP5, MAPT, NTSR1, OXTR, PROK2, POMC, HTR2B, and PPARGC1A genes were significantly correlated with multiple clinical parameters. The functions of PROK2 and PROK2-related genes were mainly enriched in neutrophil and granulocyte migration, neutrophil and granulocyte chemotaxis, etc. Conclusions There are 25 key genes, especially CREB1, FKBP5, MAPT, NTSR1, OXTR, PROK2, POMC, HTR2B, and PPARGC1A, that possibly contribute to the establishment and deterioration of Crohn disease caused by depressive disorder. Among these genes, PROK2 showes the possibility of regulating immune cell (neutrophils and CD8+ T cells) infiltration.
The high incidence and mortality of acute kidney injury (AKI) have brought great challenges to global health. In recent years, China has made some achievements in the epidemiology, risk factors and treatment of AKI. However, further prevention and treatment are still facing difficulties. Based on current new ideas and research progress, this paper summarized and analyzed the management throughout the whole course of AKI, including AKI risk assessment, early prevention, early identification, treatment and follow-up. The aim is to make Chinese nephrologists realize the focus of AKI prevention and treatment, standardize the management of AKI, and explore the prevention and treatment strategy suitable for AKI in China.
Objective To investigate the impact and mechanisms of periostin (POSTN), Krebs von den Lungen-6 (KL-6), pulmonary surfactant protein A (SP-A), and pulmonary surfactant protein D (SP-D) on the diagnosis and disease assessment of idiopathic pulmonary fibrosis (IPF), and conduct a comparative analysis. Methods From October 2022 to October 2023, a total of 55 patients diagnosed with IPF and treated at the Third Affiliated Hospital of Anhui Medical University were enrolled as an IPF group. Additionally, 30 patients with bacterial pneumonia and 30 healthy individuals undergoing concurrent health examinations during the same period were selected as a pneumonia control group and a healthy control group, respectively. All participants underwent enzyme-linked immunosorbent assay to measure serum levels of POSTN, KL-6, SP-A, and SP-D, along with pulmonary function tests. The IPF patients also underwent high-resolution computed tomography (HRCT) and echocardiography to quantify HRCT scores and pulmonary artery systolic pressure (PASP). Receiver operating characteristic (ROC) curves were plotted to analyze the significance of serum POSTN, KL-6, SP-A, and SP-D levels in IPF diagnosis. Pearson and Spearman correlation tests were used to analyze the relationships between these biomarkers and pulmonary function, PASP, and HRCT scores. Results Serum concentrations of POSTN, KL-6, SP-A, and SP-D were significantly elevated in the IPF group compared with the pneumonia group and the healthy controls (P<0.05), while serum levels of SP-A and SP-D were notably higher in the pneumonia group compared with the healthy control group (P<0.05). Within the IPF group, serum POSTN levels were negatively correlated with forced expiratory volume in the first second as a percentage of predicted value (FEV1%pred) and diffusion capacity of the lung for carbon monoxide as a percentage of predicted value (DLCO%pred) (P<0.05); KL-6 and SP-D levels were also negatively correlated with FEV1%pred, forced vital capacity as a percentage of predicted value (FVC%pred), and DLCO%pred (P<0.05); and the concentration of SP-A was negatively correlated with DLCO%pred and positively correlated with PASP (P<0.05). Additionally, serum levels of POSTN, KL-6, and SP-A in the IPF group showed significant positive associations with HRCT scores (P<0.01). Conclusions POSTN is a valuable serum biomarker for IPF, exhibiting the highest sensitivity and specificity among the four serum markers, with diagnostic performance superior to KL-6, SP-A, and SP-D. POSTN, KL-6, SP-A, and SP-D can all be used for the diagnosis and assessment of IPF.
Ferroptosis is a unique way of cell death discovered in recent years, which involves the lethal process of iron ion accumulation and lipid peroxidation, which is obviously different from the traditional cell death pathway such as apoptosis and necrosis. For a long time, tuberculosis has been a major infectious disease in the field of global public health, which brings a serious burden to the society because of its high morbidity and mortality. The emergence of drug resistance aggravates the difficulty of treating tuberculosis, and new treatment strategies and drug targets are urgently needed. Combined with the latest research progress at home and abroad, This article will discuss the molecular mechanism of ferroptosis and pulmonary tuberculosis and the relationship between signal pathways, biomarkers and related genes, in order to provide a new perspective for the diagnosis and treatment of pulmonary tuberculosis.
Non-invasive biomarkers, due to their non-invasive and safe characteristics, hold significant potential for the diagnosis and prognosis of epilepsy. This review summarizes the research progress and future directions of non-invasive biomarkers for epilepsy, encompassing electrophysiological, imaging, biochemical, and genetic markers, and discusses biomarkers for specific types of epilepsy, such as structural lesion-related epilepsy, infection and inflammation-related epilepsy, autoimmune epilepsy, endocrine hormone-related epilepsy, and metabolic epilepsy, to facilitate their clinical application.