ObjectiveTo investigate the relationship between the nodule manifestation of malignant pleural lesions under medical thoracoscopy and pleural fluid biochemistry and tumor marker levels. MethodsA total of 110 patients with malignant pleura, including 90 cases of lung cancer, 18 cases of malignant mesothelioma, 1 case of diffuse large B-cell lymphoma, and 1 case of ovarian serous carcinoma, who were hospitalized in the Department of Respiratory and Critical Care Medicine, East Hospital of Shandong Provincial Hospital from February 2011 to January 2022 were selected as the study subjects. The pleural nodule manifestation was divided into 6 layers were according to the number of pleural nodules in the medical thoracoscopic field, they were divided into 6 layers: non-nodular group, nodular group (pleural nodules of different sizes were distributed); The nodular group was further divided into nodular scattered group (total number of pleural nodules in all fields under thoracoscopy ≤10) and nodular diffuse group (total number of pleural nodules in all fields under thoracoscopy >10); The nodular diffuse group was further divided into the multiple nodules diffused group (the total number of pleural nodules >10 under thoracoscopy and ≤10 nodules in a single microscopic field) and the nodular diffuse patchwork group (the total number of pleural nodules >10 under thoracoscopy and >10 nodules in a single microscopic field). Four biochemical items of pleural fluid, pleural fluid lactate dehydrogenase (LDH), adenosine deaminase (ADA), glucose (GLU), protein quantification (TP) levels and pleural fluid carcinoembryonic antigen (CEA), carbohydrate antigen 125 (CA125) levels, serum CEA, and serum cytokeratin fragment 19 (CYFRA21-1) levels were measured to compare the expression levels of indicators between the non-nodular group and the nodular group, the nodular scattered group and the nodular diffuse group, the multiple nodules diffused group and the nodular diffuse patchwork group.ResultsThe LDH level in pleural fluid of nodular group was significantly higher than that of non-nodular group (P<0.01). The LDH level in pleural fluid of diffuse nodular group was higher than that of scattered nodular group (P<0.05). Compared to those in multiple nodules diffused group, the levels of LDH and ADA in pleural fluid of nodules patchy diffused group were significantly increased (P<0.01), and the GLU level was decreased (P<0.05). However, there were no statistically significant differences in the length of disease, smoking index, TP in pleural fluid, CEA in pleural fluid, CA125 in pleural fluid, CEA in serum and CYFRA21-1 in serum between the paired groups.ConclusionsThere were differences in the expression levels of LDH, ADA and GLU in pleural fluid of different degrees of malignant pleural lesions. The higher the degree of pleural lesions, the higher the levels of LDH and ADA in pleural fluid and the lower the levels of GLU in pleural fluid.
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.
ObjectiveTo establish and internally validate a predictive model for poorly differentiated adenocarcinoma based on CT imaging and tumor marker results. MethodsPatients with solid and partially solid lung nodules who underwent lung nodule surgery at the Department of Thoracic Surgery, the Affiliated Brain Hospital of Nanjing Medical University in 2023 were selected and randomly divided into a training set and a validation set at a ratio of 7:3. Patients' CT features, including average density value, maximum diameter, pleural indentation sign, and bronchial inflation sign, as well as patient tumor marker results, were collected. Based on postoperative pathological results, patients were divided into a poorly differentiated adenocarcinoma group and a non-poorly differentiated adenocarcinoma group. Univariate analysis and logistic regression analysis were performed on the training set to establish the predictive model. The receiver operating characteristic (ROC) curve was used to evaluate the model's discriminability, the calibration curve to assess the model's consistency, and the decision curve to evaluate the clinical value of the model, which was then validated in the validation set. ResultsA total of 299 patients were included, with 103 males and 196 females, with a median age of 57.00 (51.00, 67.25) years. There were 211 patients in the training set and 88 patients in the validation set. Multivariate analysis showed that carcinoembryonic antigen (CEA) value [OR=1.476, 95%CI (1.184, 1.983), P=0.002], cytokeratin 19 fragment antigen (CYFRA21-1) value [OR=1.388, 95%CI (1.084, 1.993), P=0.035], maximum tumor diameter [OR=6.233, 95%CI (1.069, 15.415), P=0.017], and average density [OR=1.083, 95%CI (1.020, 1.194), P=0.040] were independent risk factors for solid and partially solid lung nodules as poorly differentiated adenocarcinoma. Based on this, a predictive model was constructed with an area under the ROC curve of 0.896 [95%CI (0.810, 0.982)], a maximum Youden index corresponding cut-off value of 0.103, sensitivity of 0.750, and specificity of 0.936. Using the Bootstrap method for 1000 samplings, the calibration curve predicted probability was consistent with actual risk. Decision curve analysis indicated positive benefits across all prediction probabilities, demonstrating good clinical value. ConclusionFor patients with solid and partially solid lung nodules, preoperative use of CT to measure tumor average density value and maximum diameter, combined with tumor markers CEA and CYFRA21-1 values, can effectively predict whether it is poorly differentiated adenocarcinoma, allowing for early intervention.
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.
Age-related macular degeneration (AMD) is one of the leading causes of vision impairment and blindness in the elderly worldwide, with its prevalence increasing significantly with age. The pathogenesis of AMD is multifactorial, involving genetic predisposition, environmental risk factors, chronic inflammation, and mitochondrial dysfunction. In recent years, mitophagy has emerged as a critical mechanism for maintaining mitochondrial quality control, energy homeostasis, and cellular integrity in retinal pigment epithelium (RPE) and photoreceptor cells. Dysregulated mitophagy leads to the accumulation of damaged mitochondria, excessive reactive oxygen species, and metabolic imbalance, thereby triggering RPE dysfunction, inflammatory amplification, and choroidal neovascularization, which drive AMD progression. Both classical pathways (e.g., PINK1/Parkin) and non-classical pathways (e.g., BNIP3, FUNDC1) have been implicated in AMD pathophysiology. Molecules such as Parkin and p62, as well as multimodal imaging features, hold promise as early biomarkers for disease monitoring. Preclinical studies have shown that small-molecule activators (e.g., Urolithin A, Spermidine) and mitochondria-targeted antioxidants (e.g., MitoQ, SkQ1) can restore mitophagy and alleviate RPE damage. However, current evidence remains limited, as large-scale, long-term clinical trials are lacking. Challenges in drug delivery efficiency, safety, patient stratification, and clinical monitoring tools still hinder translation into practice. Future research should focus on biomarker-driven precision interventions, multicenter randomized controlled trials, and individualized therapeutic strategies. Overall, mitophagy research is transitioning from mechanistic exploration to clinical translation, with promising potential to enable early diagnosis, disease stratification, and precision management of AMD.
ObjectiveTo explore the safety and feasibility of 3D precise localization based on anatomical markers in the treatment of pulmonary nodules during video-assisted thoracoscopic surgery (VATS).MethodsFrom June 2019 to April 2015, 27 patients with pulmonary nodules underwent VATS in our Hospital were collected in the study, including 3 males and 24 females aged 51.8±13.7 years. The surgical data were retrospectively reviewed and analyzed, such as localization time, localization accuracy rate, pathological results, complication rate and postoperative hospital stay.ResultsA total of 28 pulmonary nodules were localized via this method. All patients received surgery successfully. No mortality or major morbidity occurred. The general mean localization time was 17.6±5.8 min, with an accuracy of 96.4%. The mean diameter of pulmonary nodules was 14.0±8.0 mm with a mean distance from visceral pleura of 6.5±5.4 mm. There was no localization related complication. The mean postoperative hospital stay was 6.7±4.3 d. The routine pathological result showed that 78.6% of the pulmonary nodules were adenocarcinoma.Conclusion3D precise localization based on anatomical markers in the treatment of pulmonary nodules during thoracoscopic surgery is accurate, safe, effective, economical and practical, and it is easy to master with a short learning curve.
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.
[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.
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.
Objective To explore the clinical and inflammatory characteristics and risk factors of severe asthma to improve clinicians' awareness of the disease. Methods The general information of patients with asthma who visited the Department of Respiratory Medicine, the First Hospital of Shanxi Medical University from May 2018 to May 2021, as well as the diagnosis and treatment of asthma, personal history, comorbidities, auxiliary examination, asthma control test (ACT) score were collected. A total of 127 patients were included, including 40 in the severe asthma group and 87 in the mild-to-moderate asthma group. Chi-square test, independent sample t test and logistic regression were used to analyze the clinical characteristics, inflammatory markers and risk factors of severe asthma. Results Compared with the patients with mild to moderate asthma, the patients with severe asthma were more older (51.0±12.0 years vs 40.7±12.8 years, P<0.05), had more smokers (32.5% vs. 14.9%, P<0.05), and more males (67.5% vs. 40.2%, P<0.05). The patients with severe asthma got poor FEV1%pred [(56.1±23.8)% vs. (93.2±18.0)%, P<0.05] and FEV1/FVC [(56.7±13.2)% vs. (75.8±9.0)%, P<0.05)], and more exacerbations in the previous year (2.7±3.1 vs. 0.1±0.4, P<0.05), lower ACT score (14.4±3.7 vs. 18.0±5.0, P<0.05), and higher blood and induced sputum eosinophil counts [(0.54±0.44)×109/L vs. (0.27±0.32)×109/L, P<0.05; (25.9±24.2)% vs. (9.8±17.5)%, P<0.05]. There was no significant difference in the proportion of neutrophils in the induced sputum or FeNO between the two groups (P>0.05). Analysis of related risk factors showed that smoking (OR=2.740, 95%CI 1.053 - 7.130), combined with allergic rhinitis (OR=14.388, 95%CI 1.486 - 139.296) and gastroesophageal reflux (OR=2.514, 95%CI 1.105 - 5.724) were risk factors for severe asthma. Conclusions Compared with patients with mild to moderate asthma, patients with severe asthma are characterized by poor lung function, more exacerbations, and a dominant eosinophil inflammatory phenotype, which is still poorly controlled even with higher level of treatment. Risk factors include smoking, allergic rhinitis, and gastroesophageal reflux, etc.
