ObjectiveTo investigate the value of plasma microRNA-216 (miR-216) in patients with acute pancreatitis as a clinical biomarker to early identify severe acute pancreatitis (SAP).MethodsPatients with acute pancreatitis who admitted to the hospital within 48 hours after the onset of disease between September and November 2014 were enrolled in this study. Plasam and clinical data of all the patients were collected. MiR-216 in the plasma was detected using quantitative real time-polymerase chain reaction.ResultsA total of 25 patients were enrolled. The Ct value of plasma miR-216 in SAP patients (32.40±1.43) was significantly upregulated than mild acute pancreatitis (MAP) (35.85±1.91, P<0.05) and moderately severe acute pancreatitis (MSAP) patients (35.90±2.44,P<0.05), respectively. The area under receiver operating characteristic curve for plasmamiR-216 in predicting SAP was 0.792 (P<0.05), which did not differ much from other conventional parameters such as C-reactive protein, urinary nitrogen, and cytokines (P>0.05).ConclusionPlasma miR-216 is significantly upregulated in SAP patients compared with MAP and MSAP, but it shows no inferior efficiency than the investigated conventional predictors in predicting SAP.
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 review the research progress of C terminal propeptide of collagen type II (CTX-II), a osteoarthritis (OA) biomarker. Methods Domestic and international l iterature about CTX-II was reviewed extensively and summarized. Results CTX-II is investigated broadly and has the best performance of all currently available biomarkers. CTX-II is a truly useful biomarker for early diagnosis, prognosis, and measurement of treatment response in OA. Conclusion Single CTX-II may be not sufficient for early diagnosis and prognosis of OA, so a combination of CTX-II and other biomarkers or diagnosis methods is needed.
As emerging means of cancer treatment, immunotherapy is the fourth major therapeutic strategy after surgery, chemoradiotherapy, and targeted therapy, which benefits patients a lot. It has been more than 100 years for the medical community exploring how to harness the immune system to fight cancer. Since the advent of ipilimumab in 2011, the first checkpoint inhibitor, cancer immunotherapy represented by checkpoint inhibitors has exploded. Several programmed death protein-1 and programmed cell death ligand-1 inhibitors have successively been approved to treat advanced non-small cell lung cancer in the second-line setting or even the first-line setting. But checkpoint inhibitors therapy has only achieved limited benefit at the present stage. Exploring potential predictive biomarkers and mechanisms of resistance are in need of further consideration to optimize immunotherapy.
Objective To measure the expression level of Myc-interacting zinc finger protein-1 (MIZ1) in peripheral blood mononuclear cells (PBMC) of patients with severe and non-severe community-acquired pneumonia (CAP) and its relationship with inflammatory factors. Methods Thirty-six CAP patients from Beijing Chaoyang Hospital from April 2018 to June 2019 were enrolled in this study. MIZ1 mRNA level in PBMC were measured by reverse transcriptase-quantitative polymerase chain reaction. The levels of interleukin (IL)-6, IL-8, IL-10, and interferon-α in the serum of patients were measured by enzyme-linked immunosorbent assay. The levels of MIZ1 mRNA and inflammatory factors were compared between the severe CAP patients and the non-severe CAP patients. Results Compared with non-severe CAP patients, the MIZ1 mRNA level in the PBMC of severe CAP patients was lower (P<0.05) than non-severe group. Receiver operating characteristic (ROC) curve of the expression level of MIZ1 in PBMC was calculated according to whether CAP was severe or non-severe, and the area under ROC curve was 0.731 (P=0.018). Spearman correlation analysis showed that MIZ1 mRNA was negatively correlated with IL-10 level in the severe CAP patients (Spearman correlation co-efficient was –0.620, P<0.05). Conclusions MIZ1 may indicate the severity of CAP. MIZ1 may affect IL-10 so as to play a role in inflammation regulation.
Objective To review the research progress of cartilage ol igomeric matrix protein (COMP). Methods Domestic and abroad l iterature about COMP was reviewed and summarized. Results COMP was one of the osteoarthritis (OA) biomarkers of being widely studied. Most studies in recent years could draw the conclusion that COMP was associated with OA. COMP was the foremost biomarker among investgated biomarkers. It could been continuously expressed and predicted knee OA progression. Conclusion Precisely what role COMP plays in OA pathogenesis remains unclear, using COMP as a tool to early diagnose OA more studies would be needed.
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.
Pulmonary lymphangioleiomyomatosis (PLAM) is a rare chronic multi-system neoplastic disease that occurs in women of childbearing age. It lacks specific clinical manifestations and requires reliable biomarkers to achieve precise management. In recent years, with the emergence of emerging biomarkers, the detection rate of PLAM has been significantly improved, which can better monitor disease progression and provide timely feedback on the efficacy. These emerging biomarkers mainly include vascular endothelial growth factor-D, vitamin D-binding protein, CT score and prostaglandins. This article will focus on the current research results, and summarize the research progress of emerging biomarkers in PLAM diagnosis, prognosis evaluation, and disease monitoring, aiming to provide new ideas for the research and treatment of PLAM.
Objective To select relatively specific biomarkers in serum from lung adenocarcinoma patients using surface-enhanced laser desorption ionization time of flight mass spectrometry （SELDI-TOF-MS） Protein Chip technology, and study the follow-up results of postoperative serum proteomic patterns. Methods Serum samples from 71 lung adenocarcinoma patients. 71 healthy volunteers with matched gender, age and history of smoking were analyzed by using weak cation exchange 2（WCX2） Protein Chip to select potentially biomarkers. Seventy-one patients were followed-up till 9 months after surgery. Compare the serum proteomic patterns 3,6 and 9 months after surgery. Results Five highly expressed potential biomarkers were identified with the relative molecular weights of 4 047.79, 4 203. 99, 4 959. 81, 5 329. 30 and 7 760. 12 Da. The postoperative serum proteomic patterns changed among individuals, and correlated with patients＇ clinical stage. Conclusions SELDI-TOF-MS Protein Chip technology is a quick, easy, convenient, and high-throughout analyzing method capable of selecting relatively specific, potential biomarkers from the serum of lung adenocarcinoma patients and may have attractive clinical value.
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.