ObjectiveTo summarize the research progress in the study of the diagnostic function of humoral circular RNAs in human diseases.MethodsThe research progress was summarized by reading relevant literatures on the diagnostic function of humoral circular RNAs in human disease at home and abroad.ResultsAs endogenous circular RNA molecules, circular RNAs were found to be related to a variety of diseases due to their stable structures, conserved sequences, diverse functions, and tissue cell specificity. Recent studies had found that circular RNAs could be secreted into body fluids, such as blood, saliva, urine, gastric juice, seminal plasma, and so on. They could also exist in body fluids stably. In addition, circular RNAs were found that was related to the diagnosis of various diseases, including cardiovascular diseases, nervous system diseases, autoimmune diseases, various carcinomas and metabolic diseases, and so on. As a consequence, circular RNAs might be important biomarkers for non-invasive detection of human diseases.ConclusionsRecent researches have found that circular RNA is related to the diagnosis of various diseases. Therefore, the in-depth study of the relationship between humoral circular RNAs and the diagnosis of diseases is conducive to the development of non-invasive diagnostic markers of clinical diseases, which is of great significance for the non-invasive diagnosis of diseases.
Lung cancer is a malignant tumor with the highest incidence and mortality in China. Early diagnosis and early treatment is the key to improve the survival and prognosis of patients with lung cancer. In recent years, many studies have focused on biomarkers of lung cancer. Emerging biomarkers tests have shown some potential in lung cancer screening. Combining biomarkers, imaging omics and artificial intelligence to establish a comprehensive model for lung cancer screening and prediction may be the development direction for improving lung cancer screening in the future. This paper summarizes the application of biomarkers in lung cancer screening, introduces the emerging biomarkers and new technologies, and discusses the application prospects of biomarkers in lung cancer screening, in order to providea theoretical basis for improving screening, early diagnosis and early treatment of 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.
ObjectiveEarly diagnosis of biliary atresia (BA) is crucial for improving patient prognosis. This study aimed to evaluate the accuracy of serum matrix metalloproteinase-7 (MMP-7) and gamma-glutamyl transferase (GGT) in diagnosing BA. MethodsWe conducted a comprehensive search of English-language databases (PubMed, Elsevier, Web of Science) and Chinese-language databases (CNKI, WanFang Data, VIP) for studies published from the inception of these databases up to December 30, 2024. Eligible studies included diagnostic data based on serum MMP-7 and GGT levels from children with BA and non-BA cholestasis. Results Through a systematic review and meta-analysis, a total of 24 publications encompassing 33 studies were included, covering a combined cohort of 6 879 children with cholestasis. The results of the binary diagnostic model analysis revealed that the pooled sensitivity and specificity of serum matrix metalloproteinase-7 (MMP-7) were 93% (95%CI 92 to 94) and 87% (95%CI 85 to 88), respectively. The positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) for MMP-7 were 8.63 (95%CI 5.88 to 12.66), 0.09 (95%CI 0.06 to 0.13), and 115.31 (95%CI 69.08 to 192.48), respectively. The area under the receiver operating characteristic curve (AUC) for MMP-7 was 0.9659, indicating excellent diagnostic performance. In comparison, gamma-glutamyl transferase (GGT) demonstrated a pooled sensitivity of 76% (95%CI 73 to 78) and specificity of 80% (95%CI 78 to 82). The corresponding PLR, NLR, and DOR for GGT were 3.50 (95%CI 2.77 to 4.43), 0.30 (95%CI 0.25 to 0.36), and 12.69 (95%CI 9.18 to 17.55), respectively. The AUC for GGT was calculated to be 0.849 4, reflecting moderate diagnostic accuracy. ConclusionSerum MMP-7 demonstrates higher diagnostic accuracy compared to GGT, which may significantly enhance the diagnostic efficiency for biliary atresia. However, due to its heterogeneity, further multicenter, large-sample, prospective studies that adhere strictly to experimental protocols are necessary to validate its diagnostic accuracy.
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 summarize the research progress of magnetic resonance imaging (MRI) for diagnosis of nonalcoholic steatohepatitis (NASH).MethodRelevant literatures at home and abroad were collected to make an review, then summarized the research status and progress of MRI for diagnosis of NASH. Their advantages and disadvantages were summarized.ResultsA variety of MRI techniques, including MR elastography, gadolinium-ethoxybenzyldiethylenetriaminepentaacetic acid (Gd-EOB-DTPA) enhanced MRI, diffusion-weighted MR imaging, and quantitative MR imaging of fat and iron, had been widely used in diagnosing NASH and shown to have some value. However, there were currently no effective MRI techniques recommended for diagnosing NASH.ConclusionsMRI plays an important role in noninvasive assessment of NASH. Future studies are needed to investigate more efficient noninvasive biomarkers and models consisting of imaging and non-imaging biomarkers for diagnosing NASH, to reduce unnecessary biopsies.
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 estimate the diagnostic value of mesothelin in ovarian cancer. Methods PubMed, The Cochrane Library, CBM, CNKI and WanFang Data databases were searched from inception to October 2016 to collect relevant diagnostic accuracy studies of mesothelin in ovarian cancer. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Statistical analysis was performed using Meta-Disc 1.4, Stata 12.0 and RevMan 5.2 softwares. The pooled sensitivity, specificity and diagnostic odds ratio were calculated, the summary receiver operating characteristic curve (SROC) was drawn and the area under the curve (AUC) was calculated. Results Seventeen studies involving 2 052 patients were included. The pooled sensitivity, specificity, DOR were 0.63 (95%CI 0.60 to 0.67), 0.92 (95%CI 0.90 to 0.93) and 26.62 (95%CI 14.96 to 47.38), respectively. The AUC and Q index were 0.915 1 and 0.847 8, respectively. Conclusion The current evidence indicates that mesothelin has high specificity and low sensitivity, which can’t be used alone as a biomarker for the detection of ovarian cancer, but should be combined with other biomarkers.
Heart and kidney interact with each other. Cardio-renal syndrome (CRS) refers to conditions where acute or chronic dysfunction of either the heart or the kidney leads to dysfunction of the other. Conventional classification of CRS outlined five subgroups according to the clinical presentation. This review focused on the epidemiology, new bio- markers, drug management, and renal replacement therapy of type Ⅰ and type Ⅱ CRS, which emphasized the multi-discipline collaboration and individualized evaluation, in order to achieve goal-directed approach to renal replacement therapy.
Objective To explore the diagnostic value of a disintegrin-like and metalloproteinase with thrombospondin type 1 motifs (ADAMTS)-9 in acute aortic dissection (AAD). Methods A total of 328 patients with acute onset of chest pain within 24 hours were enrolled in West China Hospital from January 2015 to June 2016 and according to the results of computed tomography angiography they were divided into an AAD group (n=172, 107 males, 65 females, mean age of 50.4±13.1 years) and a control group (n=156, 89 males, 67 females, mean age of 54.9±14.7 years). The enzyme-linked immunosorbent assay (ELISA) test was used to measure the level of ADAMTS-9. Results Patients in two groups had no significant difference in age, gender, smoke history, hypertension history, total cholesterol, triacylglyceride and hemoglobin (P>0.05). But systolic and diastolic blood pressures were significantly higher in the AAD group than those in the control group (P<0.05, respectively). The level of ADAMTS-9 was significantly higher in the AAD group than that in the control group (249.4±186.8 ng/mlvs. 78.2±48.6 ng/ml,t=11.107, P<0.001). Receiver operating characteristic curve analysis showed that ADAMTS-9 (156.7 ng/ml) was predictive in the diagnosis of AAD with sensitivity of 0.942 and specificity of 0.628. Conclusion ADAMTS-9 might be an effective and important biomarker in diagnosis of AAD.