Alvarezwilliams5230

Existing deep learning-based approaches for histopathology image analysis require large annotated training sets to achieve good performance; but annotating histopathology images is slow and resource-intensive. Conditional generative adversarial networks have been applied to generate synthetic histopathology images to alleviate this issue, but current approaches fail to generate clear contours for overlapped and touching nuclei. In this study, We propose a sharpness loss regularized generative adversarial network to synthesize realistic histopathology images. The proposed network uses normalized nucleus distance map rather than the binary mask to encode nuclei contour information. The proposed sharpness loss enhances the contrast of nuclei contour pixels. The proposed method is evaluated using four image quality metrics and segmentation results on two public datasets. Both quantitative and qualitative results demonstrate that the proposed approach can generate realistic histopathology images with clear nuclei contours.[This corrects the article DOI 10.21037/atm-21-1873.].

Noninvasive ventilation (NIV) failure rate is relatively high in patients with acute respiratory distress syndrome (ARDS). Currently the data regarding prediction of NIV failure of pneumonia-induced mild to ARDS patients were scarce.

A total of 364 patients (from January 2016 to December 2020) diagnosed with hypoxemic respiratory failure and managed with NIV were initially included and finally 131 pneumonia-induced mild to moderate ARDS patients were enrolled in this study. Electronic medical records were reviewed to determine whether NIV succeeded or failed for each patient. The relationship between the Acute Physiology And Chronic Health Evaluation II (APACHE II) score , neutrophil/lymphocyte ratio (NLR), expired tidal volume (Vte) and NIV failure were specifically analyzed. Multivariate logistic regression analyses were conducted to identify the independent factors of NIV failure. Receiver-operating characteristic curves were used to assess the efficacy of the variables in predicting NIV failure. Kapland a Vte >8.96 mL/kg may be a useful surrogate for predicting NIV failure among pneumonia-induced ARDS patients, and patients with a combined value >59.17 should be cautiously monitored during NIV. A further study with a larger sample size is warranted.

59.17 should be cautiously monitored during NIV. A further study with a larger sample size is warranted.

The aim of the present study was to systematically evaluate the application value and complications of 3D printing technology on Schatzker tibial platform fracture surgery.

By searching the Cochrane Library, PubMed, Web of Science, Embase, Chinese Biomedical Literature Database (CBM), screening randomized controlled trials (RCTs), and two researchers included the study according to PICOS criteria and performed bias risk assessments. Quality evaluation and data extraction were performed for the included literatures, and meta-analysis was performed for RCTs included at using Review Manager 5.2 software.

A total of 15 articles were included in the present study, which included a total of 758 patients, 342 3D printing techniques, 416 conventional surgical procedures. Meta-analysis showed 3D printing operation time [risk difference (RD) =-0.12, 95% CI -0.16, -0.08, I

=46%, P<0.00001], surgical bleeding [odds ratio (OR) =0.59, 95% CI 0.45-0.77, I

=0%, P<0.001), intraoperative fluoroscopy (OR =0.59, 95% CI 0.41-0.85, I

=0%, P=0.004), fracture healing time (OR =0.46, 95% CI 0.33-0.63, I

=0%, P<0.00001), and complication morbidity (OR =0.60, 95% CI 0.45-0.81, I

=0%, P=0.001) were significantly lower than in the traditional group.

3D printing technology for tibia platform fracture surgery has advantages of reduced operation time, less surgical bleeding, less complications, less intraoperative perspective, fast fracture healing, and can improve the accuracy of tibial platform fracture reduction and postoperative knee function recovery.

3D printing technology for tibia platform fracture surgery has advantages of reduced operation time, less surgical bleeding, less complications, less intraoperative perspective, fast fracture healing, and can improve the accuracy of tibial platform fracture reduction and postoperative knee function recovery.

Metabolic reprogramming has been identified as a hallmark of cancer, influencing the immunity in the tumor microenvironment. Because of the high-heterogeneity of cervical carcinoma, we aim to figure out the metabolic subtypes of cervical carcinoma indicating the prognosis.

We profiled the distinct metabolic signatures using data from transcriptomes obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. Bioinformatics analyses were conducted to identify the possible biomarkers of overall survival and chemotherapy resistance.

Immune infiltration was closely related to metabolic pathways, especially in the carbohydrate pathway and the lipid and energy pathway. Two distinct clusters of differentially expressed genes were identified. Six genes were selected as possible indicators of prognosis, including

,

,

,

,

, and

relating to the immune status of tumor microenvironment. Under the risk score model based on metabolic genes, the high-risk group showed significantly lower survival (HR =6.802, with 95% CI 3.637-12.721, P<0.0001), higher possibility of chemotherapy resistance, and higher infiltration of anti-tumor immune cells compared to the low-risk group.

Metabolic reprogramming, especially in the carbohydrate pathway and the lipid and energy metabolic pathway, is associated with the immune cell microenvironment, which is crucial for the prognosis of Invasive cervical carcinoma (ICC), providing potential therapeutic targets in clinic.

Metabolic reprogramming, especially in the carbohydrate pathway and the lipid and energy metabolic pathway, is associated with the immune cell microenvironment, which is crucial for the prognosis of Invasive cervical carcinoma (ICC), providing potential therapeutic targets in clinic.

Aortic arch surgery is one of the major challenges in modern aortic surgery, special cerebral and visceral organ protective strategies are still under progress. Whether mild hypothermic circulatory arrest (Mi-HCA) can be safely used in aortic arch surgery (AAS) is the focus of attention.

From January 2017 to June 2021, a retrospective cohort study of 138 consecutive patients was conducted at Beijing Anzhen Hospital. The study comprised patients who underwent AAS performed by a single surgeon during moderate-to-mild HCA. According to the core temperature at the beginning of circulatory arrest, the patients were divided into three groups T

group (n=45; 25.76±0.75 ℃), T

group (n=43; 28.79±0.81 ℃), T

group (n=50; 31.46±0.79 ℃). Perioperative clinical data were analyzed to assess the differences between groups.

In this cohort, the average durations of the operation, cardiopulmonary bypass (CPB), cross-clamp, circulatory arrest, and selective antegrade cerebral perfusion (SACP) were 6.53±1.48 h, 184.07±and a lower incidence of MAEs was obtained. Current data suggest that the mild hypothermia strategy can be safely applied for AAS.

The short-term outcomes of Mi-HCA combined with SACP in AAS were acceptable. Similarly, the protection of distal organs and the spinal cord was observed compared to the MHCA strategy, and a lower incidence of MAEs was obtained. Current data suggest that the mild hypothermia strategy can be safely applied for AAS.

Diabetes and periodontitis are common chronic diseases, and the pathogeneses of the 2 diseases both involve chronic inflammation. The presence of either of the 2 diseases increases the risk of the other, while the treatment of 1 can reduce the risk of the other. This study sought to summarize the current status of research in this field via a bibliometric analysis.

The Science Citation Index Expanded (SCI-E) database was searched to retrieve relevant articles using the following search terms "periodontitis" and "diabetes". Citespace software was used to analyze the search results, including the number of citations, the distribution of the countries, institutions, and journals that published the articles, the distribution of the authors, and the use of keywords in the articles.

A total of 2,151 articles, with 63,668 citations, were included in the analysis. The top 5 countries in terms of the number of published papers were the United States (US), China, Brazil, Japan, and the United Kingdom (UK), and the top 5 institutions in terms of the number of published papers were Columbia University, Sichuan University, the University of North Carolina, the University of Sao Paulo, and the University of Guarulhos. The top 5 authors in terms of the number of published papers were Loos, Park, Han, Wang, and Offenbacher. There was little cooperation overall. The top 3journals in terms of the most published related articles were all periodontal disease-related journals. After periodontitis and diabetes, the most frequently used keywords were inflammation, and risk.

More and more studies have been conducted on diabetes and periodontitis, and the current research mainly focuses on the treatment and management of these 2diseases.

More and more studies have been conducted on diabetes and periodontitis, and the current research mainly focuses on the treatment and management of these 2 diseases.

The high morbidity and mortality rate of coronary heart disease poses a serious threat to human health. Atherosclerosis, a chronic inflammation of the blood vessel wall, is a significant pathological process leading to coronary heart disease. Macrophage inflammation plays a crucial role in the occurrence and development of atherosclerosis.

Macrophage inflammation model was constructed by lipopolysaccharide (LPS), and macrophages were treated with Celastrol at different concentrations (0, 0.1, 1, 10, 100 ng/mL) and different time points (0, 1, 3, 6, 12 h). Real-time quantitative PCR (qPCR) and Western Blot were used to detect the expression of Nur77 mRNA and protein. IKK-16 Macrophages were then pretreated with 100 nmol/L tripterine for 40min and co-cultured with 100 ng/mL LPS. The expression levels of inflammatory factors and chemokines, phosphorylation of phospho-dynamin-related protein 1 (p-Drp1) at Ser637 and expression of mitochondrial fusion protein mitochondrial fusion protein mitofusin-2 (Mfn2) were detecon of Nur77.

Our study found that Celastrol could reduce inflammation by regulating Drp1 dependent mitochondrial fission and fusion, as well as the ERK1/2, p38, NF-κB signaling pathways. This finding provides a strong direction for the development of new anti-inflammatory drugs for atherosclerosis.

Our study found that Celastrol could reduce inflammation by regulating Drp1 dependent mitochondrial fission and fusion, as well as the ERK1/2, p38, NF-κB signaling pathways. This finding provides a strong direction for the development of new anti-inflammatory drugs for atherosclerosis.

Ginsenoside compound K (GC-K), generated from ginseng saponins bioconverted by gut microbiota, has potential anti-colorectal cancer (CRC) effects. Meanwhile, GC-K may interact with gut microbiota, playing important roles in the occurrence and development of CRC. However, the effects of gut microbiota on the preventive and therapeutic effects of GC-K in CRC remain to be elucidated.

The anti-CRC effects of GC-K were evaluated in an azoxymethane/dextran sulfate sodium (AOM/DSS)-induced colitis-associated CRC Balb/c mice model under the dosage of 30 and 60 mg/kg. Stool samples were collected during the experiments for profiling gut microbiota by

sequencing. Correlative analysis between gut microbiota and anti-CRC effect of GC-K was also assessed. Finally, the anti-CRC effect of

(

) was validated in CRC cell lines.

GC-K could significantly suppress tumor growth

at the dosage of 60 mg/kg without exogenous interference of gut microbiota. Moreover, dysbiosis of gut microbiota was observed in the CRC model group, which could be recovered by GC-K treatment.