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.
ObjectiveTo summarize the relationship between microRNAs (miRNAs) and the digestive tract cancer, and to investigate the applicative value of miRNAs in the diagnosis, treatment, and prognosis evaluation of the digestive tract cancer.
MethodsDomestic and international papers focusing on the relationship between miRNAs and the digestive tract cancer were retrieved and reviewed.
ResultsmiRNAs participated in cell proliferation, differentiation, and apoptosis through gene regulation. The patients with digestive tract cancer were often accompanied with some abnormal expression of miRNAs in circulation, that was closely related to the occurrence and development of tumor. These miRNAs in blood contributed to not only the diagnosis of tumor, but also identification of the primary tumor site, even the clinical and pathological staging. Thus, we could predict the progress, recurrence, and the metastasis of tumor, or perform the evaluation of therapeutic effects.
ConclusionCirculating miRNAs can be used as molecular microsensors for the noninvasive early diagnosis, treatment, and prognosis of the digestive tract cancer.
Status epilepticus is a life-threatening neurological emergency with high mortality and disability rates. If not treated promptly and effectively, it can lead to severe brain damage or even death. Currently, diagnosis and prognosis assessment mainly rely on electroencephalogram (EEG) and clinical manifestations, which have delays and subjectivity. Therefore, the search for biomarkers that can rapidly, objectively, and accurately assist in the diagnosis, classification, treatment guidance, and prognosis judgment of status epilepticus has become a research hotspot. Biomarkers can reflect the occurrence and development process of the disease at the molecular level, bringing new hope for the precise diagnosis and treatment of status epilepticus. This review aims to systematically elaborate on potential biomarkers in the field of SE.
Circular RNA are one kind of non-coding RNA, charactered by covalently closed rings. They can influence biological functions such as cell transduction and protein synthesis. They are associated with pathogenesis of many diseases and become a novel family of biomarkers. Now we try to introduce the origin, structure, function of circular RNA and the involved research methodology. Furthermore, we primarily discuss their application in the tuberculosis research.
The mechanisms behind diabetic retinopathy (DR) can be ascribed primarily to retinal microvascular abnormalities, excessive inflammatory response and neurodegeneration. Circular RNA (circRNA) is a type of endogenous non-coding RNA with a special circular structure, which is mainly composed of precursor RNA after shearing and processing. It is widely present in the retina and participates in the occurrence and development of various fundus diseases. CircRNAs express in an abnormal way in retina, serving as “the sponge” for miRNA so as to play roles in dysfunction of retinal vascular, inflammatory response and neurodegeneration in the development of DR. Further studies for circRNAs in DR will illustrate pathophysiology of DR more deeply, shedding light on circRNAs becoming novel biomarkers and molecular targets for diagnosis and treatment, thus achieving the goal of early diagnosis and precise therapy of DR.
ObjectiveTo detect expression of FXYD6 protein in hilar cholangiocarcinoma tissues and explore its significances.
MethodsThe expressions of FXYD6 protein in the 58 hilar cholangiocarcinoma tissues and 30 normal bile duct tissues adjacent to cancer were detected by strept avidin-biotin complex (SABC) immunohistochemistry. The relation between FXYD6 protein expression and biological characteristics of patient with hilar cholangiocarcinoma was analyzed.
ResultsThe positive rate of FXYD6 protein expression in the hilar cholangiocarcinoma tissues was significantly higher than that in the normal bile duct tissues adjacent to cancer[75.9% (44/58) versus 33.3% (10/30), χ2=15.084, P=0.000]. Furthermore, the positive rate of FXYD6 protein expression in the well and moderately differentiated hilar cholangiocar-cinoma tissue was significantly higher than that in the poorly differentiated hilar cholangiocarcinoma [85.4% (35/41) versus 52.9% (9/17), χ2=5.243, P=0.022], which was not related to the gender (χ2=0.000, P=1.000), age (χ2=1.248, P=0.264), T stage (χ2=0.466, P=0.495), lymph node metastasis (χ2=0.357, P=0.550), pathological stage (χ2=0.005, P=0.944), and perineural invasion (χ2=3.016, P=0.082). Conclustion The positive rate of FXYD6 protein expression is associated with differentiation of hilar cholangiocarcinoma, which might be a new biomarker of it.
Insomnia is a major challenge to human health at present. A clear diagnosis of insomnia is very important for health assessment. The World Federation of Societies of Biological Psychiatry Working Group on Sleep Disorders has reached consensus on the value of physiological measurement tools and biomarkers in the diagnosis of insomnia. Based on this consensus, this paper interprets it in order to provide relevant help for clinical practice and scientific research.
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.
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.
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.
