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Objective: To evaluate the effect of online and offline blended teaching in microendodontics, attempting to promote the widespread application of blended teaching mode in Operative Dentistry and Endodontics. Methods: A questionnaire survey was carried out among 865 trainees who attended the blended teaching in microendodontics combined the online theory curriculum and offline practice training from April 6 to 28 in 2022, organized by Department of Operative Dentistry and Endodontics, Hospital of Stomatotogy, Sun Yat-sen University. The content of questionnaire included trainees' basic information as well as their perspectives and expectations on the teaching mode. Data was analyzed by SPSS 24.0 and Chi-square test was used for enumeration data. Results: A total of 855 trainees participated in the valid survey with the effective recall rate of 98.8% (855/865), 50.3% (430/855) of which were young people in 18-30 years old. Their working period ranged from 0.5 to 40 years. Physicians and physician assistants occupied 40.9% (350/855) and 32.9% (281/855), respectively. And the intermediate and senior titles accounted for 26.2% (224/855). The proportion of trainees who had used and never used dental operative microscope (DOM) were 70.5% (603/855) and 29.5% (252/855), respectively. The blended teaching in microendodontics was universally approved by the trainees, which showed more superiority in the improvement of learning efficiency and interest, comprehension of knowledge as well as practical ability, etc., compared to the traditional offline teaching. For the current stomatology education, trainees were inclined to choose the blended teaching mode combining online theory curriculum and offline practice training, whereas 41.3% (353/855) and 39.6% (339/855) of trainees agreed that the teaching effectiveness was likely influenced by the condition and frequency of the offline training, respectively. Besides, significant differences were detected in the question about the factors affecting the blended teaching effectiveness of microendodontics between the trainees who had used and not used DOM (χ²=13.37, P=0.004). Conclusions: The application of online and offline blended teaching in microendodontics was affirmed to have some advantages, and it should be considered that the discrepancy in the level of expertise among trainees probably influenced the teaching effectiveness, which may promote the quality and effect of teaching, the spread and sharing of microendodontics, and provide experience and reference for the practice teaching of Operative Dentistry and Endodontics.
Subject(s)
Endodontics , Root Canal Therapy , Surveys and Questionnaires , Endodontics/education , Humans , Education, Dental/methods , Teaching , Students, Dental , Education, DistanceABSTRACT
Hydrodynamic models can accurately simulate flood inundation but are limited by their high computational demand that scales non-linearly with model complexity, resolution, and domain size. Therefore, it is often not feasible to use high-resolution hydrodynamic models for real-time flood predictions or when a large number of predictions are needed for probabilistic flood design. Computationally efficient surrogate models have been developed to address this issue. The recently developed Low-fidelity, Spatial analysis, and Gaussian Process Learning (LSG) model has shown strong performance in both computational efficiency and simulation accuracy. The LSG model is a physics-guided surrogate model that simulates flood inundation by first using an extremely coarse and simplified (i.e. low-fidelity) hydrodynamic model to provide an initial estimate of flood inundation. Then, the low-fidelity estimate is upskilled via Empirical Orthogonal Functions (EOF) analysis and Sparse Gaussian Process models to provide accurate high-resolution predictions. Despite the promising results achieved thus far, the LSG model has not been benchmarked against other surrogate models. Such a comparison is needed to fully understand the value of the LSG model and to provide guidance for future research efforts in flood inundation simulation. This study compares the LSG model to four state-of-the-art surrogate flood inundation models. The surrogate models are assessed for their ability to simulate the temporal and spatial evolution of flood inundation for events both within and beyond the range used for model training. The models are evaluated for three distinct case studies in Australia and the United Kingdom. The LSG model is found to be superior in accuracy for both flood extent and water depth, including when applied to flood events outside the range of training data used, while achieving high computational efficiency. In addition, the low-fidelity model is found to play a crucial role in achieving the overall superior performance of the LSG model.
Subject(s)
Floods , Water , Computer Simulation , Algorithms , Spatial AnalysisABSTRACT
AIMS: Despite a largely successful 'zero COVID' policy in 2020, the COVID-19 pandemic disrupted routine cancer services in the city of Hong Kong. The aims of this study were to examine the trends in cancer incidence before and during the COVID-19 pandemic and estimate missed cancer diagnoses. MATERIALS AND METHODS: We used population-based data from the Hong Kong Cancer Registry 1983-2020 to examine the trends of age- and sex-standardised cancer incidence before and during the COVID-19 pandemic. We applied: (i) the annual average percentage change (AAPC) calculated using the Joinpoint regression model and (ii) the autoregressive integrated moving average (ARIMA) model to forecast cancer incidence rates in 2020. Missed cancer diagnoses in 2020 were estimated by comparing forecasted incidence rates to reported rates. A subgroup analysis was conducted by sex, age and cancer site. RESULTS: The cancer incidence in Hong Kong declined by 4.4% from 2019 to 2020 (male 8.1%; female 1.1%) compared with the long-term AAPC of 0.5% from 2005 to 2019 (95% confidence interval 0.3, 0.7). The gap between the reported and forecasted incidence for 2020 ranged from 5.1 to 5.7% (male 8.5%, 9.8%; female 2.3%, 3.5%). We estimated 1525-1596 missed cancer diagnoses (ARIMA estimate -98, 3148; AAPC 514, 1729) in 2020. Most missed diagnoses were in males (ARIMA 1361 [327, 2394]; AAPC 1401 [1353, 1460]), with an estimated 479-557 missed cases of colorectal cancer (ARIMA 112, 837; AAPC 518, 597) and 256-352 missed cases of prostate cancer (AAPC 231, 280; ARIMA 110, 594). CONCLUSION: The incidence of new cancer diagnoses declined in 2020 contrary to the long-term increase over the previous decades. Significantly lower diagnoses than expected were observed in males, particularly for colorectal and prostate cancers. Fewer reported cancer cases indicate missed diagnoses and could lead to delayed treatment that could impact future health outcomes.
Subject(s)
COVID-19 , Neoplasms , Humans , Male , Female , Hong Kong/epidemiology , COVID-19/epidemiology , Pandemics , Neoplasms/diagnosis , Neoplasms/epidemiology , Forecasting , IncidenceABSTRACT
Plasmablastic lymphoma (PBL) is a rare and extremely diagnostically challenging entity. We report a unique case of PBL in an adult male with a history of recurrent scrotal abscesses who presented with progressively worsening scrotal pain, swelling, and drainage. Pelvic CT demonstrated a large scrotal abscess with external draining tracts with foci of air. Surgical debridement revealed necrotic tissue throughout the abscess cavity, abscess wall, and scrotal skin. Immunohistochemical analysis of the scrotal skin specimen uncovered diffuse proliferation of plasmacytoid cells with immunoblastic features that stained positive for CD138, CD38, IRF4/MUM1, CD45, lambda restriction, and Epstein-Barr encoded RNA in situ hybridization (EBER-ISH) with high Ki-67 proliferation index greater than 90%. Taken together, these findings confirmed a diagnosis of PBL. Treatment with six cycles of infusional etoposide, prednisolone, vincristine, cyclophosphamide, and hydroxydaunorubicin (EPOCH-like regimen) was administered with subsequent positron emission tomography (PET)/CT confirmation of complete response. There was no clinical evidence of lymphoma recurrence at the time of follow-up six months later. Our case exemplifies the growing diversity of ways in which PBL may manifest and underscores the importance of a clinician's familiarity with this entity and its well-defined risk factor of immunosuppression.
ABSTRACT
Extranodal marginal zone lymphoma (EMZL) of mucosa-associated lymphoid tissue (MALT) commonly affects the gastrointestinal (GI) tract but rarely occurs within the colon. Colonic EMZL is a rare diagnosis accounting for 2.5% of EMZL and less than 0.5% of colon cancers. We present a unique case of asymptomatic colonic EMZL diagnosed on a routine surveillance colonoscopy. The lymphoma was confined to a single colonic polyp presenting endoscopically as a sessile polypoid lesion at the recto-sigmoid junction. The patient was successfully treated with polypectomy with no recurrence of the disease.
ABSTRACT
Objective: To evaluate the application effect of smart classroom teaching mode in undergraduate teaching of endodontics. Methods: Through micro-lecture and massive open online course which were closely integrated with clinical practice and frontier advances, we build a new smart classroom teaching mode of endodontics relying on information technology such as the medical education cloud APP platform. The mode was applied to the undergraduate teaching of grade 2017 (110 students) and grade 2018 (107 students) in 2020 and 2021 respectively (experimental group). The theoretical examination was conducted for the grade 2016 (control group, 111 students applied traditional teaching methods) in 2019, and for two experimental grades in 2020 and 2021 respectively. A questionnaire survey was conducted for the 2018 undergraduates to investigate the experience of the smart classroom teaching mode, and the application effect of the smart classroom teaching mode was evaluated by comparing the offline theoretical test scores of grades 2016, 2017 and 2018. Results: The results of the questionnaire showed that students in grade 2018 recognized the overall form of smart classroom teaching mode, and 75.2% (79/105) of the students satisfied with the teaching process, considering that it could enhance learning interest and enthusiasm, improve self-learning ability, facilitate the understanding and memory of knowledge points, as well as increase the extension and expansion of professional knowledge. Thirty-seven point one percent (39/105) of the students thought that smart classroom teaching mode was not conducive to the interaction between teachers and students and couldn't improve learning efficiency. Comparing the final theoretical examination scores of students in three years, it was found that the average scores of 2021 (78.79±9.88) and 2020 (76.45±8.33) were significantly higher than that of 2019 (67.67±10.58) (t=6.77, P<0.001; t=8.51, P<0.001). The average score in 2021 was higher than that in 2020, although the difference was not significant (t=1.79, P=0.223). Conclusions: The application of smart classroom mode improved the teaching effect of endodontics, which is worthy of further promotion to provide a positive reference in improving the educating effects of oral medicine.
Subject(s)
Endodontics , Learning , Humans , Students , Dental Care , Surveys and QuestionnairesABSTRACT
We report an initial diagnostic dilemma case of a 60-year-old male who presented with worsening hemolytic anemia, thrombocytopenia, and acute kidney injury requiring hemodialysis. His presentation was initially suspected to be secondary to thrombotic thrombocytopenic purpura (TTP) and he was treated with intravenous immunoglobulin (IVIG) and plasmapheresis. Despite treatment, he failed to improve during his admission leading to further workup revealing gamma-delta T-cell large granular lymphocytic (γδ T-LGL) leukemia. In this paper, we will discuss the features, workup, and treatment of this rare malignancy.
ABSTRACT
Impairments in macroautophagy/autophagy, which degrades dysfunctional organelles as well as long-lived and aggregate proteins, are associated with several cardiomyopathies; however, the regulation of cardiac autophagy remains insufficiently understood. In this regard, ULK1 and ULK2 are thought to play primarily redundant roles in autophagy initiation, but whether their function is developmentally determined, potentially having an impact on cardiac integrity and function remains unknown. Here, we demonstrate that perinatal loss of ULK1 or ULK2 in cardiomyocytes (cU1-KO and cU2-KO mice, respectively) enhances basal autophagy without altering autophagy machinery content while preserving cardiac function. This increased basal autophagy is dependent on the remaining ULK protein given that perinatal loss of both ULK1 and ULK2 in cU1/2-DKO mice impaired autophagy causing age-related cardiomyopathy and reduced survival. Conversely, adult loss of cardiac ULK1, but not of ULK2 (i.e., icU1-KO and icU2-KO mice, respectively), led to a rapidly developing cardiomyopathy, heart failure and early death. icU1-KO mice had impaired autophagy with robust deficits in mitochondrial respiration and ATP synthesis. Trehalose ameliorated autophagy impairments in icU1-KO hearts but did not delay cardiac dysfunction suggesting that ULK1 plays other critical, autophagy-independent, functions in the adult heart. Collectively, these results indicate that cardiac ULK1 and ULK2 are functionally redundant in the developing heart, while ULK1 assumes a more unique, prominent role in the adult heart.Abbreviations: ATG4: autophagy related 4, cysteine peptidase; ATG5: autophagy related 5; ATG7: autophagy related 7; ATG9: autophagy related 9; ATG13: autophagy related 13; CYCS: Cytochrome C; DNM1L, dynamin 1-like; MAP1LC3A: microtubule-associated protein 1 light chain 3 alpha; MAP1LC3B: microtubule-associated protein 1 light chain 3 beta; MFN1: mitofusin 1; MFN2: mitofusin 2; MT-CO1: mitochondrially encoded cytochrome c oxidase I; MYH: myosin, heavy polypeptide; NBR1: NBR1 autophagy cargo receptor; NDUFA9: NADH:ubiquinone oxidoreductase subunit A9; OPA1: OPA1, mitochondrial dynamin like GTPase; PPARGC1A, peroxisome proliferator activated receptor, gamma, coactivator 1 alpha; SDHA: succinate dehydrogenase complex, subunit A, flavoprotein (Fp); SQSTM1: sequestosome 1; ULK1: unc-51 like kinase 1; ULK2: unc-51 like kinase 2; UQCRC1: ubiquinol-cytochrome c reductase core protein 1.
Subject(s)
Autophagy , Microtubule-Associated Proteins , Animals , Autophagy-Related Protein-1 Homolog/metabolism , Electron Transport Complex I/metabolism , Mice , Microtubule-Associated Proteins/metabolism , Mitochondria/metabolism , Protein Serine-Threonine KinasesABSTRACT
Fast and accurate modelling of flood inundation has gained increasing attention in recent years. One approach gaining popularity recently is the development of emulation models using data driven methods, such as artificial neural networks. These emulation models are often developed to model flood depth for each grid cell in the modelling domain in order to maintain accurate spatial representation of the flood inundation surface. This leads to redundancy in modelling, as well as difficulties in achieving good model performance across floodplains where there are limited data available. In this paper, a spatial reduction and reconstruction (SRR) method is developed to (1) identify representative locations within the model domain where water levels can be used to represent flood inundation surface using deep learning models; and (2) reconstruct the flood inundation surface based on water levels simulated at these representative locations. The SRR method is part of the SRR-Deep-Learning framework for flood inundation modelling and therefore, it needs to be used together with data driven models. The SRR method is programmed using the Python programming language and is freely available from https://github.com/yuerongz/SRR-method.â¢The SRR method identifies locations which are representative of flood inundation behavior in surrounding areas.â¢The representative locations selected following the SRR method have sufficient flood data for developing emulation models.â¢Flood inundation surfaces can be reconstructed using the SRR method with a detection rate of above 99%.
ABSTRACT
BACKGROUND AND AIMS: We aimed to analyze the relationship between the initial chest X-ray findings in patients with severe acute respiratory syndrome due to infection with SARS-CoV-2 and eventual clinical worsening and to compare three systems of quantifying these findings. MATERIAL AND METHODS: This retrospective study reviewed the clinical and radiological evolution of 265 adult patients with COVID-19 attended at our center between March 2020 and April 2020. We recorded data related to patients' comorbidities, hospital stay, and clinical worsening (admission to the ICU, intubation, and death). We used three scoring systems taking into consideration 6 or 8 lung fields (designated 6A, 6B, and 8) to quantify lung involvement in each patient's initial pathological chest X-ray and to classify its severity as mild, moderate, or severe, and we compared these three systems. We also recorded the presence of alveolar opacities and linear opacities (fundamentally linear atelectasis) in the first chest X-ray with pathologic findings. RESULTS: In the χ2 analysis, moderate or severe involvement in the three classification systems correlated with hospital admission (P = .009 in 6A, P = .001 in 6B, and P = .001 in 8) and with death (P = .02 in 6A, P = .01 in 6B, and P = .006 in 8). In the regression analysis, the most significant associations were 6B with alveolar involvement (OR 2.3; 95%CI 1.1.-4.7; P = .025;) and 8 with alveolar involvement (OR 2.07; 95% CI 1.01.-4.25; P = .046). No differences were observed in the ability of the three systems to predict clinical worsening by classifications of involvement in chest X-rays as moderate or severe. CONCLUSION: Moderate/severe extension in the three chest X-ray scoring systems evaluating the extent of involvement over 6 or 8 lung fields and the finding of alveolar opacities in the first pathologic X-ray correlated with mortality and the rate of hospitalization in the patients studied. No significant difference was found in the predictive ability of the three classification systems proposed.
Subject(s)
COVID-19/diagnostic imaging , Lung/diagnostic imaging , Adult , Aged , Aged, 80 and over , Comorbidity , Female , Humans , Length of Stay , Lung/pathology , Male , Middle Aged , Radiography, Thoracic , Regression Analysis , Retrospective Studies , Severity of Illness Index , Tertiary Care Centers , X-RaysABSTRACT
This study aimed at identifying genomic regions and genes associated with intramuscular fat content (IMF) in Duroc pigs using a weighted single-step GWAS. Data from 3912 pigs, of which 3770 animals were genotyped with GeneSeek Porcine 50K Bead chip, were used for the association analysis. We identified 19 genomic regions that each explained >1% of the additive genetic variance associated with IMF. Notably, a consistent QTL on SSC7 (117.42-117.92 Mb) was confirmed, explaining 3.70% of the additive genetic variance, and two genes, BDKRB2 and ATG2B, were highlighted as promising candidates for IMF. Two QTL (SSC7, 94.19-94.64 Mb; SSC14, 123.25-123.75 Mb), which harbored MED6 and MAP3K9 genes and TCF7L2 gene respectively, were newly identified as associated with IMF. In conclusion, we identified a consistent QTL and additional genomic regions and genes that contributed to the genetic variance of IMF using a large-scale sample size of genotyped pigs and genealogical information.
Subject(s)
Adipose Tissue , Genome-Wide Association Study , Muscles/physiology , Sus scrofa/genetics , Animals , Female , Genome , Male , Quantitative Trait LociABSTRACT
Hydraulic models have emerged as a powerful tool for simulating the real behavior of water distribution systems (WDSs). In using the models for estimating nodal water demands, measurement uncertainty must be considered. A common approach is to use the covariance of measurement noises to quantify the measurement uncertainty. The noise covariance is typically assumed constant and estimated a priori. However, such an assumption is frequently misleading as actual measurement accuracies are affected by measuring instruments and environmental noises. In this study, we develop a variational Bayesian approach for real-time estimation of noise covariance and nodal water demands. The approach can adaptively adjust the noise covariance with the variation of the noise intensity, thereby efficiently avoiding model overfitting. The measurement residual decomposition reveals that this new approach is effective in determining model structural errors caused by topological structure parameterization.
Subject(s)
Algorithms , Water , Bayes TheoremABSTRACT
Background and aims: We aimed to analyze the relationship between the initial chest X-ray findings in patients with severe acute respiratory syndrome due to infection with SARS-CoV-2 and eventual clinical worsening and to compare three systems of quantifying these findings. Material and methods: This retrospective study reviewed the clinical and radiological evolution of 265 adult patients with COVID-19 attended at our center between March 2020 and April 2020. We recorded data related to patients' comorbidities, hospital stay, and clinical worsening (admission to the ICU, intubation, and death). We used three scoring systems taking into consideration 6 or 8 lung fields (designated 6 A, 6 B, and 8) to quantify lung involvement in each patient's initial abnormal chest X-ray and to classify its severity as mild, moderate, or severe, and we compared these three systems. We also recorded the presence of alveolar opacities and linear opacities (fundamentally linear atelectasis) in the first chest X-ray with pathologic findings. Results: In the χ2 analysis, moderate or severe involvement in the three classification systems correlated with hospital admission (p = 0.009 in 6 A, p = 0.001 in 6 B, and p = 0.001 in 8) and with death (p = 0.02 in 6 A, p = 0.01 in 6 B, and p = 0.006 in 8). In the regression analysis, the most significant associations were 6 B with alveolar involvement (OR 2.3; 95%CI 1.1.-4.7; p = 0.025;) and 8 with alveolar involvement (OR 2.07; 95% CI 1.01.-4.25; p = 0.046). No differences were observed in the ability of the three systems to predict clinical worsening by classifications of involvement in chest X-rays as moderate or severe. Conclusion: Moderate/severe extension in the three chest X-ray scoring systems evaluating the extent of involvement over 6 or 8 lung fields and the finding of alveolar opacities in the first abnormal X-ray correlated with mortality and the rate of hospitalization in the patients studied. No significant difference was found in the predictive ability of the three classification systems proposed.
ABSTRACT
To study changes in the sonic hedgehog (Shh) signaling pathway in acute myocardial infarction (AMI) and the protective effect of changes in Shh signaling pathway activity on AMI, specific pathogen-free (SPF) C57BL/6 mice were treated with left anterior descending (LAD) ligation to establish an AMI model. The samples were collected on the 1st, 3rd, 14th, and 21st days after AMI induction. After the operations, the mice were administered the Shh signaling pathway receptor agonist SAG1.3 (5 mg/kg/d) and antagonist SANT-1 (3.3 mg/kg/d) by intraperitoneal injection. The myocardial ischemia model was established by oxygen glucose deprivation (OGD) in vitro. The AMI mouse model and the in vitro OGD-induced myocardial ischemia model were established. The Smo agonist SAG1.3 was used to activate the Shh signaling pathway, thereby reducing the expression of Bcl-2 and Bax. The number of apoptotic cells was reduced. Administration of the antagonist SANT-1 inhibited Shh signaling pathway activity by increasing the expression of Bcl-2 and Bax, and the number of apoptotic cells increased. In conclusion, activation of the Shh signaling pathway improved cardiac functions and myocardial remodeling and reduced the apoptosis of myocardial cells.
Subject(s)
Hedgehog Proteins/physiology , Myocardial Infarction/physiopathology , Signal Transduction , Animals , Apoptosis , Mice , Mice, Inbred C57BL , MyocardiumABSTRACT
Objective: To construct and evaluate a diagnosis pathway (Xiangya pathway) for Corona Virus Disease 2019 (COVID-19). Methods: Consecutive subjects aged ≥12 years old who were screened for COVID-19 were included in Xiangya Hospital of Central South University from January 23 to February 3, 2020, and the subjects were further divided into the inception cohort and the validation cohort. The gender, age, onset time of disease of the subjects were recorded. The information of epidemiological history, fever, and the declined blood lymphocytes were collected as clinical indicators, CT scan was used to evaluate the possibility of COVID-19 and range of lung involvement. According to the current Chinese national standards, throat swabs of suspected cases were collected and the nucleic acid of COVID-19 was detected by reverse transcription-polymerase chain reaction (RT-PCR). The Xiangya pathway was constructed with multi-indexes, compared with clinical indicators, CT results and Chinese national standards, their effectiveness of detecting confirmed cases were verified in the inception and validation cohort. Results: A total of 382 consecutive adults who was screened for COVID-19 were included, and 261 cases were in the inception cohort and 121 cases were in the validation cohort. Among the 382 cases, 192 were males (50.3%) and 190 were females (49.7%), with a median age of 35 years (range: 15-92 years). There were 183 cases (47.9%) with epidemiological history, 275 cases (72.0%) with fever, 212 cases (55.5%) with decreased peripheral blood lymphocytes, 114 cases (29.8%) with positive CT findings, 43 cases (11.3%) with positive CT-COVID-19, and 30 cases (7.9%) with positive virus nucleic acid by throat swab. Compared with clinical indicators, the sensitivity and specificity of CT were 0.950 and 0.704, respectively. The accuracy of CT to make a definite diagnosis was higher than that of epidemiological history, fever, and declined blood lymphocyte count (0.809 vs 0.660, 0.532, 0.596, P=0.001, 0.002, 0.003, respectively). The sensitivity of this pathway and the pathway recommended by the Health Commission of China were both high (all were 1.000), while the specificity and accuracy of the Xiangya pathway were higher than the one recommended by the Health Commission (0.872 vs 0.765, 0.778 vs 0.592, both P<0.001). The CT-COVID-19 reduced the missed diagnosis rate caused by false negative of nucleic acid test (31 vs 64), with difference rate of 51.6%, and the positive rate of nucleic acid test was 64.5% (20/31). In validation cohort, the specificity and accuracy of the Xiangya pathway was 0.967, the positive rate of nucleic acid test was 76.9%(10/13). Conclusions: The Xiangya pathway can predict the nucleic acid test results of COVID-19, and can be applied as a reliable strategy to screen patients with suspected COVID-19 among people aged ≥12 years in areas other than Hubei during the epidemic period of COVID-19. The cohort size needs to be increased for further validation.
Subject(s)
Betacoronavirus , Coronavirus Infections , Pandemics , Pneumonia, Viral , Adolescent , Adult , Aged , Aged, 80 and over , COVID-19 , COVID-19 Testing , China , Clinical Laboratory Techniques , Coronavirus Infections/diagnosis , Female , Humans , Male , Middle Aged , Pneumonia, Viral/diagnosis , SARS-CoV-2 , Young AdultABSTRACT
PURPOSE: Breast cancer with positive hormone receptor (HR) and human epidermal growth factor receptor-2 (HER2) is a special subgroup with different clinical features and survival, especially the endocrine therapy resistance. The main purpose of the study is to find the potential markers to predict the survival and endocrine therapy resistance of patients with HR+ /HER2+ breast cancer. METHODS: Surveillance, Epidemiology, and End Results (SEER) database was used to collect patients' clinical information and tumor features including age, tumor size, grade, stage and long-term survival; the BioPortal for Cancer Genomics (https://cbioportal.org) was used to download the gene data for specific patient group; cluster analyses of gene expression were conducted through the DAVID Bioinformatics Resources 6.8 software. RESULTS: All of the included patients were diagnosed as HR positive breast cancer, but the PR positive rates were more common in HER2- group and also the ER+ /PR+ disease. Patients in HR+ /HER2+ group were more likely to present as stage III-IV and grade III disease. Among HR+ /HER2+ patients, 68.6% received chemotherapy, while only 28.9% in HR+ /HER2- group received chemotherapy (P < 0.0001). The survival of HR+ /HER2+ group was poorer. From TCGA database, series genes which were differed between HR+ /HER2+ and HR+ /HER2- were screened out that related to ERBB2 closely: IKZF3, LASP1, CDK12, MLLT6, and RARA. The first three candidate genes were associated with patients' survival, especially in patients who received hormone therapies. CONCLUSION: This study analyzed the clinical characteristics and survival of patients with HR+/HER2+ breast cancer as a special subgroup. ERBB2, IKZF3, LASP1, and CDK12 were the potential markers of the resistance of endocrine therapy, and they will provide new strategies for clinicians.
Subject(s)
Antineoplastic Agents, Hormonal/therapeutic use , Breast Neoplasms/drug therapy , Receptor, ErbB-2/analysis , Receptors, Estrogen/analysis , Receptors, Progesterone/analysis , Adult , Aged , Aged, 80 and over , Biomarkers, Tumor , Breast Neoplasms/chemistry , Breast Neoplasms/mortality , Breast Neoplasms/pathology , Drug Resistance, Neoplasm , Female , Humans , Middle AgedABSTRACT
OBJECTIVES: The mcr-1 gene is the first reported plasmid-mediated colistin resistance gene. It has caused worldwide concern about the colistin resistance in Gram-negative bacteria. The aim of this research was to study the impact of mcr-1 on the selection of high-level colistin resistance (HLCR) mutations in Escherichia coli and Klebsiella pneumoniae. METHODS: We detected the HLCR mutation rates of Enterobacteriaceae strains (K. pneumoniae XH209, KP10, and E. coli Q3, ATCC 25922) and their transformants harbouring the mcr-1 gene. Further analysis of the HLCR mutants was conducted by sequencing, plasmid elimination experiment, and real-time quantitative PCR. RESULTS: For XH209, mean mutation rate of XH209-pMCR was 1.7 (95% confidence interval (CI) 0.76-2.54) × 10-8, while XH209 and XH209-pCR2.1 showed mutation rates of 2.0 (95% CI, 1.32-2.67) × 10-8 and 2.3 (95% CI 1.47-3.13) × 10-8. For KP10 and its derived strains KP10-pCR2.1, KP10-pMCR, the mutation rates were 3.5 (95% CI 0.77-6.13) × 10-8, 4.8 (95% CI 0.69-8.94) × 10-8 and 4.2 (95% CI 0.95-7.54) × 10-8 respectively. The mutation rates of E. coli strains Q3-pMCR and ATCC25922-pMCR were 3.4 (95% CI 0.19-7.47) × 10-8 and 1.54 (95% CI 0.27-2.8) × 10-9, which were significantly higher than their corresponding non-mcr-1-carrying strains (p < 0.05). CONCLUSIONS: Beside the knowledge that mcr-1 mediates low-level colistin resistance, this gene also facilitates selection of HLCR mutants in E. coli, but does not affect K. pneumoniae.
Subject(s)
Anti-Bacterial Agents/pharmacology , Colistin/pharmacology , Escherichia coli Proteins/genetics , Escherichia coli/drug effects , Escherichia coli/genetics , Klebsiella pneumoniae/drug effects , Klebsiella pneumoniae/genetics , Drug Resistance, Bacterial/genetics , Humans , Mutation Rate , Plasmids/geneticsABSTRACT
OBJECTIVE: ICOS/ICOSL plays a crucial part in various disease-mediated immune responses. However, the exact role of ICOS/ICOSL in type 2 diabetes mellitus (T2DM) development remains unexplored. This study aims to investigate the role of ICOS/ICOSL in the pathogenesis of T2DM. MATERIALS AND METHODS: Human peripheral blood T-lymphocytes (CD3) and umbilical vein endothelial cells (HUVECs) were treated with high-glucose (HG) or advanced glycation end products (AGEs). A portion of CD3 cells was co-cultured with HUVECs and treated with different mediums or anti-ICOS mAbs. The ICOS/ICOSL and caspase-3 protein expression was measured by Western blotting. ELISA (enzyme-linked immunosorbent assay), MTT (3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide), and NOx production assays were respectively used to detect cytokines level, cell viability and the production of NOx. RESULTS: HG and AGEs significantly upregulated ICOS/ICOSL expressions in T cells and HUVECs. T cell contact with HUVECs secreted more IFN-γ, IL-4, and IL-10 compared to non-contact cells, while cytokines from IL-6-, IL-1ß-, and CM- (the conditioned medium) treated cells did not differ from the control. A significant increase of IL-8 and IL-6 was found in HUVECs under both contact and non-contact conditions vs. control cells. Similar results were also observed in the comparison between CM1- (T cell condition medium) or CM2- (co-culture condition medium) treated cells and control cells. However, CM1 and CM2 treatment significantly inhibited cell viability and increased caspase-3 and NOx production; blocking ICOS/ICOSL remarkably decreased cytokines secretion, enhanced cell viability and reduced caspase-3 and NOx production. CONCLUSIONS: HG and AGEs cause T cell inflammatory response and vascular endothelial dysfunction by upregulating ICOS/ICOSL, which may be one of the possible mechanisms of cardiovascular complications development in T2DM patients.
Subject(s)
Cytokines/metabolism , Diabetes Mellitus, Type 2/metabolism , Endothelium, Vascular/metabolism , Human Umbilical Vein Endothelial Cells/metabolism , Inducible T-Cell Co-Stimulator Ligand/metabolism , Inducible T-Cell Co-Stimulator Protein/metabolism , Inflammation Mediators/metabolism , T-Lymphocytes/metabolism , CD3 Complex/metabolism , Cell Communication , Cells, Cultured , Coculture Techniques , Cytokines/immunology , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/immunology , Endothelium, Vascular/drug effects , Endothelium, Vascular/immunology , Glucose/toxicity , Glycation End Products, Advanced/toxicity , Human Umbilical Vein Endothelial Cells/drug effects , Human Umbilical Vein Endothelial Cells/immunology , Humans , Inducible T-Cell Co-Stimulator Ligand/immunology , Inducible T-Cell Co-Stimulator Protein/immunology , Inflammation Mediators/immunology , Signal Transduction , T-Lymphocytes/drug effects , T-Lymphocytes/immunologyABSTRACT
BACKGROUND: Non-coding small RNAs are involved in organism development, and their aberrant regulation induces various diseases, including hepatocellular carcinoma (HCC), but their exact mechanisms have not been determined. OBJECTIVE: The aim was to investigate the role of miR-142-3p on HMGB1 expression in hepatocellular carcinoma. METHODS: Expression levels of miR-142-3p in HCC tissues and cultured cells were measured by RT-PCR. The invasion and metastasis abilities of HepG2 cells according to Transwell migration and invasion assays, and protein expression was measured by western blotting. RESULTS: The present study reported that miR-142-3p promotes the invasion and migration of HCC cells. miR-142-3p levels are lower in HCC tissues than in adjacent non-cancerous tissues, suggesting a tumor suppressor role for miR-142-3p. Highmobility group box protein 1 (HMGB1) is an oncogene that promotes the metastasis of HCC. miR-142-3p or HMGB1 knockdown alone inhibits the invasion and migration of HCC cells, and HMGB1 overexpression impedes the effect of miR-142-3p. Further studies showed that HMGB1 is a direct target gene of miR-142-3p in HCC. miR-142-3p represses HMGB1 gene transcription by directly binding to the 3' untranslated region (UTR) of HMGB1, thereby inhibiting cancer cell invasion and migration. CONCLUSION: This study, for the first time, reports that miR-142-3p is a novel tumor suppressor that inhibits the invasion and migration of HCC cells by directly regulating gene transcription of HMGB1. Thus, miR-142-3p may be a potential diagnostic and therapeutic biomarker for HCC patients.
Subject(s)
Biomarkers, Tumor/biosynthesis , Carcinoma, Hepatocellular/metabolism , Gene Expression Regulation, Neoplastic , Genes, Tumor Suppressor , HMGB1 Protein/biosynthesis , Liver Neoplasms/metabolism , MicroRNAs/biosynthesis , Neoplasm Proteins/biosynthesis , RNA, Neoplasm/biosynthesis , Biomarkers, Tumor/genetics , Carcinoma, Hepatocellular/genetics , Carcinoma, Hepatocellular/pathology , HMGB1 Protein/genetics , Hep G2 Cells , Humans , Liver Neoplasms/genetics , Liver Neoplasms/pathology , MicroRNAs/genetics , Neoplasm Proteins/genetics , RNA, Neoplasm/geneticsABSTRACT
Objective: To study the in vitro activity of fosfomycin to extended-spectrum ß-lactamases (ESBLs)-producing Escherichia coli and Klebsiella pneumoniae and to explore the mechanisms of fosfomycin resistance. Methods: A total of 1 052 ESBLs-producing E. coli(ESBL-EC) and K. pneumoniae(ESBL-KP) isolates were collected from bloodstream infections of 28 hospitals of 22 provinces and municipalities, which were stored by our laboratory.Minimum inhibitory concentrations (MICs) of fosfomycin against these clinical isolates were determined by agar dilution methods according to the Clinical and Laboratory Standards Institute (CLSI)(2015). The genes related to fosfomycin resistance were confirmed by Polymerase Chain Reaction (PCR) and sequencing. Results: The susceptibility rates of ESBL-EC and ESBL-KP isolates to fosfomycin were 91.3% (818/896) and 91.7% (143/156), respectively. A total of 91 fosfomycin-non-susceptible isolates were detected, of which 73 (80.2%) isolates carried fosA3 genes.Amongst 18 fosA3-negative isolates, 16 isolates were detected to have chromosomal mutations or insertion inactivation, while the rest two isolates had not been detected any resistant mechanisms. Conclusions: Fosfomycin shows great in vitro antimicrobial activity to ESBL-EC and ESBL-KP. The primary mechanism of fosfomycin-non-susceptible isolates is fosA3 gene.Chromosomal mutations may also involve in the fosfomycin resistance.