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.
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.
ObjectiveTo analyze the effects of alcohol consumption on oral flora of middle-aged and elderly men from the core area of southwestern China, and explore the relationship between excessive-alcohol-consumption-related flora and alcohol-related cancer.MethodsFrom March to June 2018, saliva samples of target subjects were collected for 16S ribosomal RNA gene sequencing, and a questionnaire survey which took drinking history of each participant as the target variable was conducted. According to the amount of alcohol consumed, the subjects were divided into non-drinking group, moderate-drinking group, and excessive-drinking group. The microbial analysis of α diversity, analysis of group difference of oral flora abundance, bacterial function prediction, and receiver operating characteristic (ROC) curve model prediction were carried out.ResultsA total of 59 subjects were included. There were 23 cases (39.0%) in the non-drinking group, 23 cases (39.0%) in the moderate-drinking group, and 13 cases (22.0%) in the excessive-drinking group. The average age was (61.90±8.85) years. Excessive drinking increased the abundance of oral flora (P<0.05), and could change the abundance of specific genus such as Peptostreptococcus and TM7［G-6］ (P<0.05) and regulate cancer-related pathways (P<0.05). ROC analysis found that a panel of three genus oral bacteria such as TM7［G-6］ might effectively distinguish the non-drinking group from the excessive-drinking group (area under curve=0.915).ConclusionsGenus of Peptostreptococcus and TM7_［G-6］ are the potential oral flora biomarkers for the excessive-drinking of target subjects. Some excessive drinking-related flora are closely related to oral cancer.
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.
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.
Breast cancer is a malignant tumor with the highest morbidity and mortality in female in recent years, and it is a complex disease that affects human health. Studies have shown that dynamic network biomarkers (DNB) can effectively identify critical states at which complex diseases such as breast cancer change from a normal state to a disease state. However, the traditional DNB method requires data from multiple samples in the same disease state, which is usually unachievable in clinical diagnosis. This paper quantitatively analyzes the time series data of MCF-7 breast cancer cells and finds the DNB module of a single sample in the time series based on landscape DNB (L-DNB) method. Then, a comprehensive index is constructed to detect its early warning signals to determine the critical state of breast cancer cell differentiation. The results of this study may be of great significance for the prevention and early diagnosis of breast cancer. It is expected that this paper can provide references for the related research of breast cancer.
[Abstract]Bone metastasis is one of the common complications of lung cancer, which seriously affects the quality of life and survival of patients. At present, the clinical diagnosis of bone metastasis of lung cancer mainly depends on imaging methods, but due to its lack of sensitivity and potential radiation risk, about half of patients have already had bone-related events when they are diagnosed clearly. The treatment of bone metastasis of lung cancer mainly depends on surgery, radiotherapy and chemotherapy, targeted therapy, immunosuppressants, etc. Although the treatment of bone metastasis of lung cancer has made some progress in recent years, there are still some problems such as high risk of other distant metastasis. This article mainly reviews the pathogenesis, diagnostic biomarkers and treatment progress of bone metastasis of lung cancer, in order to provide reference for the diagnosis and treatment of bone metastasis of lung cancer.
The human gut microbiota regulates many host pathophysiological processes including metabolic, inflammatory, immune and cellular responses. In recent years, the incidence and mortality of lung cancer have increased rapidly, which is one of the biggest challenges in the field of cancer treatment today, especially in non-small cell lung cancer. Animal models and clinical studies have found that the gut microbiota of non-small cell lung cancer patients is significantly changed compared with the healthy people. The gut microbiota and metabolites can not only play a pro-cancer or tumor suppressor role by regulating immune, inflammatory responses and so on, but also be related with radiotherapy and chemotherapy of non-small cell lung cancer and the resistance of immunotherapy. Therefore, gut microbiota and related metabolites can be both potential markers for early diagnosis and prognosis in patients with non-small cell lung cancer and novel therapeutic targets for targeted drugs. This study will review the latest research progress of effect of gut microbiota on non-small cell lung cancer, and provide a new diagnosis and treatment ideas for non-small cell lung cancer.
ObjectiveTo summarize the clinical application and future application prospects of organoid model in pancreatic cancer. MethodThe domestic and foreign literature related on the application of organoid model in pancreatic cancer was reviewed. ResultsIn recent years, the organoid model of pancreatic cancer was constructed mainly using patient-derived tissues, fine-needle aspiration samples, and human pluripotent stem cells. The biomarkers of pancreatic cancer were screened according to the histological and structural heterogeneities of the primary tumor retained in organoid model, such as microRNA, glypican-1, annexin A6 and protein biomarkers cytokeratin 7 and 20, cell tumor antigen p53, Claudin-4, carbohydrate antigen 19-9, etc.in the extracellular vesicles. The results of organoid model could maintain the original tumor characteristics and the higher correlation between the organoid model drug sensitivity data and the clinical results of pancreatic cancer patients suggested that, the drug sensitivity data of organoid model could be used to avoid ineffective chemotherapy, so as to improve the treatment response rate and reduce the toxicity of chemical drug treatment, and reasonably select individualized treatment plans for pancreatic cancer patients in future. ConclusionsOrganoid model has many research in screening biomarkers of pancreatic cancer, individualized drug screening, and drug sensitivity test. It can simulate the complex pathophysiological characteristics of pancreatic cancer in vitro, and retain the physiological characteristics and gene phenotype of original tumor cells. It is expected to become a new platform for selecting biomarkers of pancreatic cancer, testing drug sensitivity, and formulating individualized treatment methods for pancreatic cancer, which might further accelerate the research progress of pancreatic cancer.
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.