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.
Objective To explore the solutions of problems with the ROC analysis for different types data. Method Two kinds of ROC analyses of three cardiac infarction markers, cTNT, CK-MB mass and MYO, were performed with the ROC program developed by Yunnan Provincial Clinical Laboratory Center. Results The distribution of prime data had a large range, which produced a bad analysis result. After logarithmic transformation, the prime data that had smaller range now can be analyzed with full-span method. The results were similar to the ROC analyzed with the overlapped data. Conclusions We should choose different statistical method depend on the distribution of data when we performed ROC analyses.
Objective To explore depression-related biomarkers and potential therapeutic drugs in order to alleviate depression symptoms and improve patients’ quality of life. Methods From November 2022 to January 2024, gene expression profiles of depression patients and healthy volunteers were downloaded from the Gene Expression Omnibus database. Differential expression analysis was performed to identify differentially expressed genes. Enrichment analysis of these genes was conducted, followed by the construction of a protein-protein interaction network. Finally, Cytoscape software with the Cytohubba plugin was used to identify potential key genes, and drug prediction was performed. Results Through differential expression analysis, a total of 110 differentially expressed genes (74 upregulated and 36 downregulated) were identified. Protein-protein interaction network identified 10 key genes, and differential expression analysis showed that 8 of these genes (CPA3, HDC, IL3RA, ENPP3, PTGDR2, VTN, SPP1, and SERPINE1) exhibited significant differences in expression levels between healthy volunteers and patients with depression (P<0.05). Enrichment analysis revealed that the upregulated genes were significantly enriched in pathways related to circadian rhythm, niacin and nicotinamide metabolism, and pyrimidine metabolism, while the downregulated genes were primarily enriched in extracellular matrix-receptor interaction and interleukin-17 signaling pathways. Six overlapping verification genes (SALL2, AKAP12, GCSAML, CPA3, FCRL3, and MS4A3) were obtained across two datasets using the Wayn diagram. Single-cell sequencing analysis indicated that these genes were significantly expressed in astrocytes and neurons. Mendelian randomization analysis suggested that the FCRL3 gene might play a critical role in the development of depression. Drug prediction analysis revealed several potential antidepressant agents, such as cefotiam, harmol, lincomycin, and ribavirin. Conclusions Circadian rhythm, nicotinate and nicotinamide metabolism, and pyrimidine metabolism pathways may represent potential pathogenic mechanisms in depression. Harmol may be a potential therapeutic drug for the treatment of depression.
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.
ObjectiveThe aim of this meta-analysis and systematic review is to assess the effectiveness of microRNAs as a diagnostic tool for individuals with epilepsy. MethodsA systematic search of PubMed, EMBASE, the Cochrane Library, and Web of Science databases was performed to collect literature on miRNA diagnosis of epilepsy up to January 1, 2024. Two researchers independently screened and extracted the literature and resolved discrepancies by negotiation. The QUADAS-2 evaluation tool was used to assess the quality of the included studies. Statistical analysis was performed using Review Manager 5.4, Meta-Disc 1.4, and Stata 17.0. Results A total of 17 papers were included, including 942 patients with epilepsy and 932 healthy controls. miRNA in the diagnosis of epilepsy had a combined sensitivity of 0.76 [95%CI (0.71, 0.79)], combined specificity of 0.78 [95%CI (0.74, 0.82)], and area under the SROC curve of 0.84 [95%CI (0.80, 0.87)]. Subgroup analysis showed that miRNA had higher diagnostic value for temporal lobe epilepsy, especially medial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS). ConclusionThe study suggests that miRNA may be a promising tool for the diagnosis of epilepsy, especially temporal lobe epilepsy, but more high-quality studies are needed to support it.
Acute kidney injury (AKI), as a complex and severe kidney disease, has always been the hotspot of research. The epidemiological research of AKI in China has made significant progress, including initially reports on the domestic incidence of AKI, geographical distribution and risk factors; however, accompanying challenges like AKI prevention and treatment emerge. For improvement of the diagnosis and treatment of the AKI, this article summarizes and analyses the two challenges: early warning biomarkers and AKI treatment strategies, based on new ideas and research progress. The aim is to make Chinese nephrology scholars and specialists realize the focus of AKI prevention and protection of renal function, to standardize the treatment strategy of AKI, and to put forward the direction of future research.
ObjectiveTo summarize the research progress of mucinous breast cancer (MBC). MethodsLiteratures about the recent studies of MBC were reviewed. ResultsMBC was one of special subtype of infiltrating breast cancer. According to the mucus ingredient in the ratio of the mass, MBC was divided into pure mucinous breast cancer (PMBC) and mixed mucinous breast cancer (MMBC). Compared to infiltrating ductal cancer-not otherwise specified (IDC-NOS), MBC showed higher positive expression rates of estrogen receptor (ER) and progestrogen receptor (PR), with reduced lymph node metastasis rate and better prognosis. PMBC had lower lymph node metastasis rate and better outcome than MMBC. ConclusionsThere is significant difference about clinical and pathological characteristics between MBC and IDC-NOS. Researches are generally believed that MBC is an uncommon breast neoplasm which is associated with a good prognosis.
ObjectiveTo explore the clinical significance of plasma biomarkers of prethrombotic state in lung cancer patients. Methods90 patients with lung cancer (lung cancer group) and 90 normal controls (control group) of Han population in Shanghai Pulmonary Hospital from June 2010 to June 2012 were recruited in the study. Enzyme-linked immunosorbent assay (ELISA) was used to detect the plasma levels of von willebrand factor(vWF),P-selectin,and thrombin-antithrombine complex (TAT). Coagulation indicators were detected by ACLTOP full automatic coagulation analyzer. Solidification method was used to detect the plasma levels of prothrombin time (PT),activated partial thromboplastin time (APTT) and fibrinogen (FIB). Turbidimetric immunoassay was used to detect D-dimer concentration,and chemiluminescence substrate was used to assay antithrombin Ⅲ (AT-Ⅲ). ResultsIn the lung cancer group,the plasma levels of vWF,P-selectin,TAT,D-dimer and FIB were significantly higher than those in the control group (P<0.05),and the plasma levels of APTT and AT-Ⅲ were lower than those in the control group(P<0.05),while there was no significant difference in plasma PT level(P>0.05). In stage Ⅳ lung cancer subgroup,the plasma levels of vWF,P-selectin,TAT,D-dimer and FIB were significantly higher than those in the stage Ⅲ subgroup or the stage Ⅰ+Ⅱ subgroup (P<0.05). And the plasma levels of PT and APTT were significantly lower than those in the stage Ⅲ subgroup or the stage Ⅰ+Ⅱ subgroup (P<0.05). ConclusionThe patients with lung cancer exist obvious prethrombotic state. AT-Ⅲ,vWF, D-dimer, FIB,TAT,P-selectin and APTT can be used as reliable hematol markers in early diagnosis of prethrombotic state. vWF,P-selectin,TAT and D-dimer have higher sensitivity and specificity.
Objective To summarize the research progress of microRNA （miRNA） as a tumor marker in peripheral blood. Methods The domestic and international published literatures about circulating miRNA as a tumor marker in recent years were reviewed. Results The miRNA expression has universality，stability and specificity，and it is related to the occurrence and development of viarous diseases. Conclusion Circulating miRNA shows a broad application prospect in clinical diagnosis， treatment， and prognosis of tumor and other diseases.
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.