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.
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.
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.
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.
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.
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.
Telomeres play an important role in maintaining genomic stability and cell life. Accumulating studies show that telomeres are closely related to human aging, cardiovascular diseases and cerebrovascular diseases. There are a series of researches about telomeres and atherosclerosis across the world, including studies on the relationship between atherosclerosis, cardiovascular diseases, cerebrovascular diseases and telomere length, and on telomere-targeted treatments for cardiovascular and cerebrovascular diseases. Telomeres may be a risk predictor or a new therapeutic target for atherosclerosis and cardiovascular diseases. This article reviews the relationship between telomeres and cardiovascular and cerebrovascular diseases, introduces the research progress of telomere length and cardiovascular diseases, cerebrovascular diseases, and the possible mechanisms of their association, aiming to provide a theoretical basis for exploring new therapeutic targets for atherosclerosis.
With the continuous aging of the population in China, the aging of skeletal muscle in the elderly has seriously affected national health and poses a severe challenge to the public health system. Early detection of skeletal muscle aging, and early warning, prevention, and treatment are of great significance for achieving healthy aging. In order to select a series of clinically operable biomarkers for skeletal muscle aging, and to further standardize the early identification and precise diagnosis of skeletal muscle aging, a multidisciplinary team of experts has registered and written this protocol to provide a detailed introduction to the planning process for the development of the consensus.
Intravitreal injection of anti-vascular endothelial growth factor (VEGF) drugs is the main treatment for diabetic macular edema (DME), however, 30% of patients still respond poorly to its treatment. At present, imaging markers that can indicate the prognosis of anti-VEGF drug treatment include ischemic index, deep retinal capillary plexus foveal avascular zone area, number of microaneurysms, blood flow density, disorder of the inner retinal layer, outer membrane and/or the degree of damage to the ellipsoid zone, strong reflex foci, intraretinal cysts, subretinal fluid. Biomarkers include high-sensitivity C-reactive protein, neutrophil to lymphocyte ratio, anti-fumarase antibody, intraocular aqueous humor cell adhesion molecule-1, interleukin (IL)-6, IL-8, etc. Understanding these clinical markers that may predict and evaluate the prognosis of anti-VEGF drug therapy can be beneficial to adjust the treatment plan, and more effectively monitor, treat, and manage DME patients.