New Method For Early Diagnosis Research Articles

Прогностическая значимость определения фторид-ионов в ротовой жидкости при остром перикороните

Oral fluid is a valuable substrate for assessing dental health and other aspects of physical status. New methods for early diagnosis and prognosis of dental diseases on the basis of oral fluid composition are in constant demand. Excessive fluoride concentrations, often oversighted by dental therapists, negatively affect organs and tissues of the oral cavity. This study aimed at development and approbation of a method for reliable measurement of fluoride ions in oral fluid by capillary electrophoresis to be used in patients with dental diseases. The fluoride ion concentrations were measured in health (2.16 ± 0.48 mg/L), in isolated acute pericoronitis (15.2 ± 2.7 mg/L) and in acute pericoronitis combined to multiple caries (18.9 ± 4.2 mg/L). By post-operative day 3, fluoride levels in the group with isolated acute pericoronitis dropped to normal values (2.28 ± 0.52 mg/L), whereas in the group with acute pericoronitis combined to multiple caries fluoride levels remained high (8.7 ± 1.9 mg/L; р < 0.0001). The developed protocol is efficient for studying fluoride ion concentrations in isolated and combined dental diseases.

MYC-Induced Upregulation of Lncrna ELFN1-AS1 Contributes to Tumor Growth in Colorectal Cancer via Epigenetically Silencing TPM1.

This study revealed a novel molecular pathway in colorectal cancer progression, which may provide new method for early diagnosis and treatment of colorectal cancer.

Multiscale mechanical model based on patient-specific geometry: Application to early keratoconus development

Keratoconus is a pathology of the cornea associated with a tissue thinning and a weakening of its mechanical properties. However, it remains elusive which aspect is the leading cause of the disease. To investigate this question, we combined a multiscale model with a patient-geometry in order to simulate the mechanical response of healthy and pathological corneas under intraocular pressure. The constitutive behavior of the cornea is described through an energy function which takes into account the isotropic matrix of the cornea, the geometric structure of collagen lamellae and the quasi-incompressibility of the tissue. A micro-sphere description is implemented to take into account the typical features of the collagen lamellae as obtained experimentally, namely their orientation, their stiffness and their dispersion, as well as the their unfolding stretch, at which they start to provide a significant force. A set of reference parameters is obtained to fit experimental inflation data of the literature. We show that the most sensitive parameter is the unfolding stretch, as a small variation of this parameter induces a major change in the corneal apex displacement. The keratoconus case is then studied by separating the impact of the geometry and the one of the mechanics. We computed the evolution of the SimK (a clinical indicator of cornea curvature) and elevation maps: we were able to reproduce the reported changes of SimK with pressure only by a mechanical weakening, and not by a change in geometry. More specifically, the weakening has to target the lamellae and not the matrix. The mechanical weakening leads to elevations close to early stage keratoconus, but our model lacks the remodeling component to couple the change in mechanics with changes in geometry. Still, these findings indicate that new methods for early diagnosis of keratoconus should focus on the detection of a mechanical weakening, and that stiffening treatments should be appropriate.

POS-402 UNCOUPLING PROTEIN 1 (UCP1) INHIBITS EPITHELIAL MESENCHYMAL TRANSFORMATION AND EXTRACELLULAR MATRIX AGGREGATION IN RENAL INTERSTITIAL FIBROSIS THROUGH SIRT3 DEPENDENT REACTIVE OXYGEN SPECIES (ROS) PATHWAY

Renal interstitial fibrosis is a common pathological process of all chronic kidney diseases (CKD) developing to end-stage renal disease (ESRD). It is characterized by inflammatory cell infiltration, massive accumulation of extracellular matrix (ECM), disappearance of renal proper cells and reduction of microvessels. At present, although the research on renal interstitial fibrosis is gradually in-depth, its diagnosis and treatment methods are still very scarce. Therefore, to clarify the new pathogenesis of renal interstitial fibrosis and develop new methods for early diagnosis and treatment of renal interstitial fibrosis has become the focus and difficulty of current renal diseases research. Uncoupling protein-1 (UCP1) is the most important marker of brown adipose tissue (BAT), located in the inner membrane of the mitochondria. UCP1 can promote mitochondrial inner membrane proton conduction and decouple ATP synthesis from cellular respiration. The current research on UCP1 mainly focuses on fat metabolism, but its function in CKD has not been reported yet. Western blot, immunoblot analysis and immunohistochemistry were used to detect the expression of UCP1. UCP1 over expression lentivirus and UCP1 agonist CL316243 were used to upregulate UCP1. EMT related markers, collagen I, fibronectin, antioxidant enzyme SOD2 and CAT were detected by western blot and immunofluorescence. ROS detection kit was used to show the ROS production. SIRT3 knockdown was achieved by siRNA. This study firstly discovers that UCP1 is significant downregulated in patients with renal fibrosis and unilateral ureteral obstruction (UUO) animal model. Further research finds that upregulation of UCP1 can reverse the epithelial mesenchymal transformation (EMT) and ECM accumulation in renal fibrosis model both in vivo and in vitro. Meanwhile, UCP1 reduces the production of reactive oxygen species (ROS) by increasing the stability of SIRT3, which is weakened when SIRT3 is knocked down. Accordingly, this study proposes a scientific hypothesis in which UCP1 relieve EMT, ECM accumulation and renal interstitial fibrosis by increasing the stability of SIRT3 and decreasing the production of ROS. It will provide new ideas and targets for the treatment of CKD.

UCHL1 and Proteasome in Blood Serum in Relation to Dietary Habits, Concentration of Selected Antioxidant Minerals and Total Antioxidant Status among Patients with Alzheimer's Disease.

Alzheimer’s disease (AD) is an incurable neurodegenerative disease. It is the most common form of dementia among the elderly population. So far, no effective methods of its treatment have been found. Research to better understand the mechanism of pathology may provide new methods for early diagnosis. This, in turn, could enable early intervention that could slow or halt disease progression and improve patients’ quality of life. Therefore, minimally invasive markers, including serum-based markers, are being sought to improve the diagnosis of AD. One of the important markers may be the concentration of UCHL1 and the proteasome in the blood serum. Their concentration can be affected by many factors, including eating habits. This study was conducted in 110 patients with early or moderate AD, with a mean age of 78.0 ± 8.1 years. The patients were under the care of the Podlasie Center of Psychogeriatrics and the Department of Neurology (Medical University of Białystok, Poland). The control group consisted of 60 healthy volunteers, matched for gender and age. The concentration of UCHL1 and the 20S proteasome subunit were measured by surface plasmon resonance imaging (SPRI). In addition, a nutritional interview was conducted with patients with AD, which assessed the frequency of consumption of 36 groups of products. In the group of patients with AD, compared to the control group, we showed a significantly higher concentration of UCHL1 (56.05 vs. 7.98 ng/mL) and the proteasome (13.02 vs. 5.72 µg/mL). Moreover, we found a low negative correlation between UCHL1 and the proteasome in the control group, and positive in the AD group. The analysis of eating habits showed that the consumption of selected groups of products may affect the concentration of the tested components, and therefore may have a protective effect on AD.

A new method for early diagnosis of liver cancer using a biosensor embedded in an alginate polymer thin film

Hepatocellular carcinoma (HCC) has become a pressing health problem facing the world today due to its high morbidity, high mortality, and late discovery.

Comparison of machine learning techniques in the early detection of abdominal aortic aneurysms from in-vivo photoplethysmography data

Digitalisation and the generation of large amounts of data from examinations and medical interventions are making an ever-increasing amount of data available, of which only a fraction has been used to date. In this context, artificial intelligence and artificial neural networks play an emerging role generating new insights from these data. In particular, new models for description and understanding are generated, and new methods for early diagnosis make use of artificial intelligence. In this article, we consider the case of cardiovascular diseases that are the leading cause of death worldwide. Aortic aneurysms are particularly problematic and underdiagnosed: Existing diagnostic techniques are not suitable for effective screening at the family physician level. Several authors recently made attempts to develop a new, easy-to-use, non-invasive diagnostic method for the early detection of aortic aneurysms using machine or deep learning techniques. In a previous study, the authors achieved promising but still expandable results using machine learning techniques on non-invasive in-vivo data. Here, a variation is presented that increases the accuracy of the classification by 4%. We compare these results with those for other classifiers and classification approaches and an approach via a bidirectional recurrent neural network for diagnosing abdominal aortic aneurysms from the current literature. Applying a classification approach from the previous study of the authors provides accuracy values of more than 86% on an in-silico photoplethysmography dataset that served as a training set for the bidirectional recurrent neural network in the literature. The results are better the younger the virtual patients and the larger the aneurysms and are sufficiently good even with much smaller subsets of the datasets. The latter is important for the practical use of the methods on in-vivo data, where normally only smaller datasets are available. The bidirectional recurrent neural network was trained on in-silico data and the article in the literature suggested that it will work also on in-vivo data. Application of the neural network trained on in-silico data to our in-vivo data could not support this assumption because the sensitivity value received was lower than 50% (or 40%, respectively), depending on the choice of the dataset.

In vivo static and dynamic angiography of thrombosis by using multi-functional lanthanide nanoprobes

Main content : We finely tuned the core–shell NaNdF 4 @NaGdF 4 nanoparticles for in vivo static and dynamic multi-modal angiographies (i.e. NIR-II FLA/ MRA/CTA), with a focus on the dynamic NIR-II FLA evaluation of cerebral blood perfusion induced by thrombus and thrombolysis. Innovation : We fabricated a multi-functional angiographic nanoagent to combine the advantages of MRA and NIR-II FLA for noninvasive diagnosis of carotid thrombosis and evaluating cerebral blood perfusion, monitoring thrombosis and thrombolysis. We provide a new method for early diagnosis, prevention and evaluation of therapeutic effect of ischemic stroke.

Concurrent OCT and OCT angiography of retinal neurovascular degeneration in the 5XFAD Alzheimer's disease mice.

.Significance: As one part of the central nervous system, the retina manifests neurovascular defects in Alzheimer’s disease (AD). Quantitative imaging of retinal neurovascular abnormalities may promise a new method for early diagnosis and treatment assessment of AD. Previous imaging studies of transgenic AD mouse models have been limited to the central part of the retina. Given that the pathological hallmarks of AD frequently appear in different peripheral quadrants, a comprehensive regional investigation is needed for a better understanding of the retinal degeneration associated with AD-like pathology.Aim: We aim to demonstrate concurrent optical coherence tomography (OCT) and OCT angiography (OCTA) of retinal neuronal and vascular abnormalities in the 5XFAD mouse model and to investigate region-specific retinal degeneration.Approach: A custom-built OCT system was used for retinal imaging. Retinal thickness, vessel width, and vessel density were quantitatively measured. The artery and vein (AV) were classified for differential AV analysis, and trilaminar vascular plexuses were segmented for depth-resolved density measurement.Results: It was observed that inner and outer retinal thicknesses were explicitly reduced in the dorsal and temporal quadrants, respectively, in 5XFAD mice. A significant arterial narrowing in 5XFAD mice was also observed. Moreover, overall capillary density consistently showed a decreasing trend in 5XFAD mice, but regional specificity was not identified.Conclusions: Quadrant- and layer-specific neurovascular degeneration was observed in 5XFAD mice. Concurrent OCT and OCTA promise a noninvasive method for quantitative monitoring of AD progression and treatment assessment.

Promising Diagnostic Markers of Colon Cancer

Background. The incidence of colon cancer over the past decade has been growing markedly in the Russian Federation, with about 50 % cases detected at stagesIII–IV of the disease, when a clear clinical picture of the disease appears. In this regard, the search for new methods for early diagnosis of RTK is undoubtedly relevant.Objective. To determine the standard composition of the aerobic parietal colon microbiota and the level of cytokines (chemokines and growth factors) in patients with cancer of the left half of the colon and to assess the possibility of using these data in the diagnosis of the tumor process.Materials and methods. Blood tests were performed on the day of the study using two test systems (BioLegend): multiplex kit for determining growth factors, chemokine multiplex kit. The composition of the intestinal microbiota was determined in colon biopsy specimens by the bacteriological method using the standard test systems StaphyTest, StreptoTest, and EnteroTest.Results. There is an increase in the number of Clostridiumspp. and a decrease in Bifidobacteriumspp., E. coli in the colon during the transformation of a healthy person’s mucosa into a malignant tumor (p < 0.05); a clear tendency was revealed for both an increase (EGF, HGF, M-CSF, PDGF-AA, PDGF-BB, IP-10) and a decrease (MCP-1, RANTES) of the level of chemokines and growth factors under colon cancer conditions. In addition to general quantitative changes in the intestinal microbiota, the level of the investigated substances, a statistically significant dependence was established on the sex, age of the patient, as well as the degree of differentiation and form of tumor growth.Conclusion. It was established that changes in the quantitative composition of the intestinal microbiota, the level of some biologically active substances that occur precisely in the conditions of colon cancer, can be interconnected and interdependent, and also serve as an additional diagnostic marker in the detection of a malignant tumor.

MiR-34c inhibits PDGF-BB-induced HAVSMCs phenotypic transformation and proliferation via PDGFR-\u03b2/SIRT1 pathway

The purpose of this study was to explore the effect of miR-34c on PDGF-BB-induced HAVSMCs phenotypic transformation and proliferation via PDGFR-β/SIRT1 pathway, so as to find a new method for early diagnosis and treatment of cardiovascular disease. HA-VSMCs were treated with platelet-derived growth factor-BB (PDGF-BB) at 0 h, 12 h, 24 h, 48 h or 36 h to explore the optimal time for phenotypic transformation of VSMCs. And then, PDGF-BB-induced HA-VSMCs were transfected with miR-34c mimics/mimics NC and pcDNA3.1-PDGFR-β/pcDNA3.1-NC to observe cell biological behaviour. CCK8 was used to detect cell proliferation activity. Transwell chamber assay was used to detect cell invasion. Early apoptosis was analyzed by flow cytometry. The expression of α-SMA and Smemb was detected by immunofluorescence staining. The expressions of PDGFR-β, IRF9, Acetyl-NF-κB/p65, Acetyl-p53 and CyclinD1 were analyzed by Western blot analysis. The expression of miR-34a, miR-34b and miR-34c was detected by RT-PCR, and the targeting relationship between miR-34c and PDGFR-β was detected by luciferase reporting assay. The results indicated the proliferation and migration of PDGF-BB-induced HA-VSMCs significantly increased, and apoptosis significantly decreased. Besides, α-SMA decreased significantly, while Smemb increased significantly. Furthermore, expressions of PDGFR-β, IRF9, Acetyl-NF-κB/p65, Acetyl-p53 and CyclinD1 increased significantly, and SIRT1 decreased significantly. Experimental results showed that, miR-34c mimics significantly inhibited cell proliferation and migration, and promoted cell apoptosis, and miR-34c inhibitor had the opposite effects. MiR-34c mimics significantly increased α-SMA expression and decreased Smemb expression, while the opposite effects were reflected after transfection with miR-34c inhibitor. Moreover, miR-34c mimics significantly decreased the expressions of PDGFR-β, IRF9, Acetyl-NF-κB/p65, Acetyl-p53 and CyclinD1, and significantly increased the expression of SIRT1, while miR-34c inhibitor had the opposite effects. Luciferase assay confirmed that PDGFR-β was a potential target of miR-34c. Subsequently, PDGF-BB-induced HA-VSMCs were co-transfected with miR-34c mimics and pcDNA3.1-PDGFR-β. The results indicated that PDGFR-β reversed the biological function of miR-34c mimic. The results revealed the potential application value of miR-34c as a marker molecule of phenotypic transformation, providing a potential target for improving phenotypic transformation.

The effect of miR-539 regulating TRIAP1 on the apoptosis, proliferation, migration and invasion of osteosarcoma cells

ObjectiveThe purpose of this study is to explore the effect of miRNA-539 on osteosarcoma (OS) and the underlying mechanism, so as to find a new method for early diagnosis and treatment of osteosarcoma.MethodmiRNA-539 mimics was transfected into osteosarcoma cells 143b and MG-63 and upregulated the expression of miR-539. QT-PCR was used to detect transfection efficacy. CCK-8 method was used to detect proliferation of 143b and MG-63 osteosarcoma cells and flow cytometry was used to detect the apoptosis of osteosarcoma cells 143b and MG-63. Wound-healing test and Transwell test were used to detect the migration and invasion ability of osteosarcoma cells. TRIAP1 was found to be the potential target gene of miRNA-539 by online bioinformatics software and the expression level of TRIAP1 in osteosarcoma cells overexpressing miRNA-539 was detected by qT-PCR. Western blot was used to detect the level of expression of TRIAP1 and its downstream genes (p53, p21, apaf1 and caspase9) in osteosarcoma cells 143b and MG63 transfected with miR-539 mimics or miR-539 mimics-NC. A model of osteosarcoma subcutaneously transplanted in nude mice was constructed to observe the effect of miRNA-539 on the growth rate of osteosarcoma in vivo.ResultsAfter transfection of miRNA-539 mimics in osteosarcoma cells 143b and MG63, the proliferation level, migration ability, and invasion ability of the osteosarcoma cells were significantly lower than that in the control group, and the apoptosis level was significantly higher than that in the control group (P < 0.01). The dual luciferase reporter confirmed that TRIAP1 was the target of miR-539, and the expression level of TRIAP1 in 143b and MG63 transfected with miRNA-539 mimics was proved to be significantly lower than that in the control group (P < 0.01).The western blot showed the expression of genes targeted by TRIAP1 was upregulated when the expression of TRIAP1 was downregulated. In vivo, the osteosarcoma growth rate in the miRNA-539 mimics group was significantly slower than that in the control group (P < 0.01).ConclusionsMiRNA-539 may inhibit the cell proliferation, migration and invasion of osteosarcoma cells and promote the apoptosis of osteosarcoma cells by targeting on TRIAP1.

Impaired olfactory neural circuit in patients with SLE at early stages.

To investigate the changes of olfactory function and odor-induced brain activation in patients with systemic lupus erythematosus (SLE) at early stages compared with healthy controls. Olfactory function and odor-induced brain activation in 12 SLE patients at early stages and 12 age, gender and education matched healthy controls were evaluated using olfactory behavior test and odor-induced task-functional magnetic resonance imaging (task-fMRI). No significant differences in olfactory behavior scores (including olfactory threshold, olfactory identification, and olfactory memory) were found in the patients with SLE at early stages compared with the healthy controls, while significantly decreased odor-induced activations in olfactory-related brain regions were observed in the patients. In the SLE group, the patients with better performance in the olfactory threshold test had significantly lower levels of anti-dsDNA antibody. The current study demonstrated that significant alterations in odor-induced brain activations occurred prior to measurable olfactory decline in SLE at early stages, which provided a new method for early diagnosis of olfactory dysfunction in SLE.

Feasibility and accuracy of using different methods to detect pregnancy by conceptus-stimulated genes in dairy cattle

Development of new methods for early diagnosis of pregnancy can be important to increase the reproductive efficiency and profitability of dairy herds. The bovine conceptus secretes IFN-τ that stimulates the transcription of several genes in circulating immune cells and extrauterine tissues. The aims of this study were to evaluate the mRNA abundance for pregnancy predictability of a classic gene stimulated by IFN-τ (ISG15) and a novel potential pregnancy marker (LGALS3BP) in peripheral blood mononuclear cells (PBMC), total blood leukocytes (TBL) or milk leukocytes (TML), and cervical cells (CC) on d 20 after timed artificial insemination (TAI) in dairy cattle. Eighteen Holstein females (12 cows and 6 heifers) were submitted to an estrous synchronization protocol for TAI (d 0). On d 20 post-TAI, blood samples were collected from coccygeal vessels for isolation of PBMC and in Tempus Blood RNA tubes (Applied Biosystems) for TBL. Samples of CC were collected using a cytological brush, and the TML were isolated from milk samples collected before routine milking. Pregnancy diagnosis was performed on d 30 post-TAI using transrectal ultrasonography, and females were classified as pregnant (n = 8) or nonpregnant (n = 10). Total RNA was extracted and mRNA abundance of target genes (ISG15 and LGALS3BP) was quantified by reverse-transcription quantitative PCR and normalized in relation to reference genes. Data were analyzed by ANOVA using the MIXED procedure of SAS (SAS Institute Inc.). The mRNA abundance of ISG15 was greater in pregnant than in nonpregnant animals for PBMC, TBL, and CC. No difference was detected for TML based on pregnancy status. For LGALS3BP mRNA abundance, no difference was detected between pregnant and nonpregnant animals for PBMC, TBL, and TML, but a tendency for greater abundance in pregnant animals was observed for CC. The fold change for ISG15 in each pregnant cow related to the mean of nonpregnant animals was 2.73 ± 0.31, 3.40 ± 2.17, 1.64 ± 0.29, and 0.005 ± 0.002 for PBMC, CC, TBL, and TML, respectively. The fold change for LGALS3BP in each pregnant cow related to the mean of nonpregnant animals was 0.97 ± 0.38, 1.77 ± 0.39, 0.20 ± 0.08, and 0.70 ± 0.11 for PBMC, CC, TBL, and TML, respectively. The receiver operating characteristic curve analysis indicated that ISG15 abundance predicted pregnancy in PBMC (area under curve, AUC = 0.92) and CC (AUC = 0.77) but not in TBL (AUC = 0.72) or TML (AUC = 0.52). In conclusion, mRNA abundance for ISG15 in PBMC was the best predictor for pregnancy at d 20 post-TAI, whereas TBL and TML were not good predictors of pregnancy on d 20 post-TAI. The mRNA abundance of LGALS3BP was not associated with pregnancy status in any type of cell evaluated.

Detection of effective genes in colon cancer: A machine learning approach

Nowadays, a variety of cancers have become common among humans which unfortunately are the cause of death for many of these people. Early detection and diagnosis of cancers can have a significant impact on the survival of patients and treatment cost reduction. Colon cancer is the third and the second main cause of women's and men's death worldwide among cancers. Hence, many researchers have been trying to provide new methods for early diagnosis of colon cancer. In this study, we apply statistical hypothesis tests such as t -test and Mann–Whitney–Wilcoxon and machine learning methods such as Neural Network, KNN and Decision Tree to detect the most effective genes in the vital status of colon cancer patients. We normalize the dataset using a new two-step method. In the first step, the genes within each sample (patient) are normalized to have zero mean and unit variance. In the second step, normalization is done for each gene across the whole dataset. Analyzing the results shows that this normalization method is more efficient than the others and improves the overall performance of the research. Afterwards, we apply unsupervised learning methods to find the meaningful structures in colon cancer gene expressions. In this regard, the dimensionality of the dataset is reduced by employing Principle Component Analysis (PCA). Next, we cluster the patients according to the PCA extracted features. We then check the labeling results of unsupervised learning methods using different supervised learning algorithms. Finally, we determine genes which have major impact on colon cancer mortality rate in each cluster. Our conducted study is the first which suggests that the colon cancer patients can be categorized into two clusters. In each cluster, 20 effective genes were extracted which can be important for early diagnosis of colon cancer. Many of these genes have been identified for the first time.

Diagnostic value of real-time shear wave elastography in children with chronic kidney disease.

To evaluate the diagnostic value of real-time shear wave elastography (SWE) in children with chronic kidney disease (CKD). Children with CKD diagnosed by the ultrasound-guided biopsy between January 2018 and May 2019 were enrolled as the case group. Age- and sex- matched healthy children were selected as the control group. The Young's Modulus (YM) of the renal cortex was measured by SWE after the traditional ultrasound examination. Variance analysis was performed to compare the values of YM between the two groups. Receiver operating characteristic curve (ROC) analysis was used to compare the values of YM, and explore the cut-offs of the YM. In the case group (n = 60, 45% male, mean age of 9.2 years), the kidney YM modulus on the left side (16.8±4.8 kPa vs. 8.3±2.1 kPa) and the right side (16.0±4.7 kPa vs. 8.3±2.4 kPa) were both higher than the control group (all P values < 0.001). With the progress of CKD, the YM value of the left and right kidneys gradually increased. ROC analysis showed that when the left and right kidney YM value was 11.7 kPa and 11.0 kPa, the diagnostic sensitivity and specificity were the highest (left: respectively 93.3% and 95.0%; right: respectively 93.3 % and 91.7%). The increase of YM in CKD is related to the progression of renal dysfunction which may provide a new method for early diagnosis of CKD, dynamic monitoring of disease progression, and evaluation of curative effect and prognosis.

Some Opinions on The Role of The Family Doctor in The Care of Cancer Patients- A Short Review

As the number of cancer patients has increased year by year with new methods of early diagnosis and screening, diagnosing...

Research advance of liquid biopsy in gastrointestinal stromal tumors

Gastrointestinal stromal tumor (GIST) is the most common mesenchymal tumors in the gastrointestinal tract. Surgical resection is the only curative treatment, while imatinib is the first-line therapy for recurrent, metastatic, and unresectable GIST. However, more than half of GIST patients suffer from secondary resistance to imatinib within 2 years after treatment initiation. Therefore, early diagnosis, drug resistance and recurrence surveillance are critical for GIST patients. Liquid biopsy is a new method which utilizes the detection of tumor biomarkers in peripheral blood for early diagnosis and therapeutic efficacy assessment. In recent years, liquid biopsy has achieved significant research progress in several kinds of malignancy. This review aims at presenting an overview on research advance of liquid biopsy in GIST and may provide a new method for early diagnosis and therapeutic efficacy assessment of GIST.

Analysis of social and medical aspects of vasomotor rhinitis

Objective: to Analyze the social and medical significance of vasomotor rhinitis, study the processes of the disease and create a sufficient database. Materials and methods: Total of 916 adults over 18 years of age were involved in the research. Results: all 3 analyzed symptoms (nasal congestion, nasal discharge, and frequent sneezing) were mostly rare. A characteristic feature is that all 3 symptoms occurred in three-quarters of patients, and one in four respondents indicated that these symptoms disturbed them very rarely. Indicators of physical discomfort and functional disorders in patients with vasomotor rhinitis were expressed to varying degrees, and a third of the examined patients were more or less (often, constantly) concerned about nasal congestion (73.9%), nasal discharge (81.5%) and frequent sneezing (76.7%). Respondents often associated the development of vasomotor rhinitis with allergies (55.3%), various stresses (21.2%), colds (13.7%) and environmental factors (9.8%). Conclusion: This survey of ENT doctors shows that there is still no consensus on the diagnosis and treatment of vasomotor rhinitis among specialists. This confirms our opinion on the proposal to search for new methods of early diagnosis and new approaches to the treatment of vasomotor rhinitis in adult patients. The development of new diagnostic algorithms and treatment standards is necessary to improve early diagnosis, treatment of patients, and improve the quality of life of patients with vasomotor rhinitis.

Blocking lncRNA MIR155HG/miR-155-5p/-3p inhibits proliferation, invasion and migration of clear cell renal cell carcinoma

This study aimed to investigate the effect of blocking the MIR155HG/miR-155-5p/-3p axis on proliferation, invasion and migration of clear cell renal cell carcinoma. RT-qPCR was used to detect the expression of MIR155HG, miR-155-5p, miR-155-3p in clear cell renal cell carcinoma cell lines. To study the effects of blocking LncRNA MIR155HG and interfering with miR-155-5p and miR-155-3p on the biological function. The g proliferation of tumor was detected by CCK-8, and the cell invasion and migration abilities were detected by wound healing and transwell experiments. Western blot analyzed protein levels of KI67, PCNA, MMP2 and MMP9. Furthermore, TargetScan and miRDB were used to predict the co-target gene of miR-155-3p and miR-155-5p, and the functional analysis of co-target genes was performed using the DAVID. In the current research, the expression of MIR155HG was increased in ccRCC. Interference of MIR155HG inhibited the cellular functions of ccRCC cells, which was reversed by overexpression of miR-155-3p and miR-155-5p.In addition, MIR155HG interference repressed the expression of miR-155-5p and miR-155-3p in ccRCCs, while inhibition of miR-155-5p and miR-155-3p restrained the proliferation, invasion and migration of ccRCCs. Bioinformatics software analysis showed 13 co-targeting genes of miR-155-3p and miR-155-5p. Functional analysis presented that the target genes of miR-31-3p were involved in numerous of biochemical processes and pathways.Blocking lncRNA MIR155HG/miR-155-5p/-3p inhibits proliferation, invasion and migration of renal clear cell carcinoma, which provided a new method for early diagnosis and precise treatment of ccRCC.