Part-Object Progressive Refinement Network for Zero-Shot Learning.

Zero-shot learning (ZSL) recognizes unseen images by sharing semantic knowledge transferred from seen images, encouraging the investigation of associations between semantic and visual information. Prior works have been devoted to the alignment of global visual features with semantic information, i.e., attribute vectors, or further mining the local part regions related to each attribute and then simply concatenating them for category decisions. Although effective, these works ignore intrinsic interactions between local parts and the whole object, which enables a more discriminative and representative knowledge transfer for ZSL. In this paper, we propose a Part-Object Progressive Refinement Network (POPRNet), where discriminative and transferable semantics are progressively refined by the cooperation between parts and the whole object. Specifically, POPRNet incorporates discriminative part semantics and object-centric semantics guided by semantic intensity to improve cross-domain transferability. To achieve part-object learning, a semantic-augment transformer (SaT) is proposed to model the part-object relation at the part-level via an encoder and at the object-level via a decoder, generating a comprehensive semantic representation to boost discriminability and transferability. By introducing the prototype updating module embedded with the prototype selection layers, the discriminative ability of the updated category prototype is enhanced to further improve the recognition performance of ZSL. Extensive experiments are conducted to demonstrate the superiority and competitiveness of our proposed POPRNet method on three public benchmark datasets. The code is available at https://github.com/ManLiuCoder/POPRNet.

The fungal quorum-sensing molecule, farnesol, regulates the immune response of vaginal epithelial cells against Candida albicans.

BACKGROUND: Farnesol is a Candida-secreted quorum-sensing molecule of great interest as a potential antifungal agent for serious and hardly curable infections-candidiasis, especially vulvovaginal candidiasis (VVC). METHODS: The effect of farnesol on cellular morphology and viability and evaluated the production of Th1 (IL-2), Th2 (IL-4), proinflammatory (IL-6), chemotactic (IL-8), and Th17 (IL-17) cytokines in the culture supernatants of vaginal epithelial cell line (VK2) were evaluated. Moreover, we tested the inhibitory effect of farnesol on C. albicans adhesion. Scanning electron microscopy was conducted to observe any VK2 cell ultrastructural changes. RESULTS: Only low concentrations (≤ 50 µmol/L) of farnesol did not affect the morphology and viability of the VK2 cells (P > 0.05). Farnesol reduced the adhesion of C. albicans to the VK2 cells. When treated with farnesol, statistical elevated levels of both IL-4 and IL-17 secreted by the infected VK2 cells were present in the culture supernatants (P < 0.05). CONCLUSIONS: Farnesol acts as a stimulator to up-regulate the Th17-type innate immune response, as well as Th2-type humoral immunity following C. albicans infection. Further research is required to select the optimal therapeutic dose to develop efficacious and safe mucosal immune adjuvant for treating VVCs.

Whole Blood-Derived circUSP10 Acts as a Diagnostic Biomarker in Patients With Early-Stage Non-Small-Cell Lung Cancer.

Accumulating evidence has indicated that differentially expressed noncoding circular RNAs (circRNAs) play essential roles in the occurrence and development of various types of cancer. Here, we aimed to identify and explore the diagnostic value of hsa_circ_0003026 (named circUSP10) in patients with early non-small-cell lung cancer (NSCLC). The differentially expressed circRNAs were screened from the microarray-based assay of human NSCLC tissues and their corresponding noncancerous tissues, and the candidate circRNAs were further verified in patients with NSCLC using reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Circulating circUSP10 was isolated from whole blood of healthy people and patients with NSCLC and was detected by RT-qPCR. In addition, the diagnostic value of circUSP10 in early NSCLC was evaluated by receiver operating characteristic (ROC) curve analysis. We found that circUSP10 was upregulated in tumor tissues from patients with early NSCLC and associated with tumor size and tumor-node-metastasis (TNM) stage. Importantly, circUSP10 was obviously upregulated in the whole blood of patients with NSCLC. Additionally, whole blood-derived circUSP10 showed good diagnostic performance for screening early NSCLC and was relatively stable in blood under adverse conditions. These findings demonstrate that circUSP10 may act as a novel biomarker for the diagnosis of early-stage NSCLC, suggesting the potential of circUSP10 in RNA-based therapy for cancer.

Peripheral Blood-Derived CircVPS35L as a Potential Diagnostic Biomarker for Non-Small Cell Lung Cancer.

INTRODUCTION: Circular RNAs (circRNAs) are dysregulated in cancers and are stably expressed in body fluids such as blood. We therefore identified and evaluated the clinical value of a newly found circRNA VPS35L (circVPS35L) as a biomarker for the diagnosis of non-small cell lung cancer (NSCLC). METHODS: Reverse-transcription quantitative PCR (RT-qPCR) was used to determine the expression levels of circVPS35L in tissues, whole blood, and cell lines. The actinomycin D assay and RNase R treatment were utilized to determine the stability of circVPS35L. Receiver operating characteristic (ROC) curve analysis was conducted to predict the diagnostic value of blood-derived circVPS35L in NSCLC. RESULTS: CircVPS35L was found to be downregulated in NSCLC tissues and cell lines. Interestingly, circVPS35L expression was significantly correlated with tumor size (p = 0.0269), histology type (p < 0.0001), and TNM stage (p = 0.0437). Importantly, circVPS35L was poorly expressed in peripheral blood of NSCLC patients when compared with healthy controls and patients with benign lung disease. ROC analysis revealed a higher diagnostic value of circVPS35L than the three conventional tumor markers (CYFR21-1, NSE, and CEA) in patients with NSCLC. Moreover, circVPS35L was highly stable in peripheral blood when exposed to undesirable conditions. CONCLUSION: These findings demonstrate that circVPS35L has great potential as a novel biomarker for the diagnosis of NSCLC and can be used to distinguish NSCLC from benign lung disease.

Antimicrobial Effects of Sophora flavescens Alkaloids on Metronidazole-Resistant Gardnerella vaginalis in Planktonic and Biofilm Conditions.

Bacterial vaginosis (BV) is a common infectious disease of the lower female reproductive tract, which is characterized by the augmentation of anaerobic bacteria. Gardnerella (G.) vaginalis plays a predominant role in BV recurrence relating to its higher virulence potential and biofilm formation ability. With the increased proportion of metronidazole-resistant G. vaginalis, controlling resistance to metronidazole and finding more effective drugs became a major concern. In this study, 30 clinical strains were cultured from the vaginal secretions of BV patients, followed by PCR and 16S rDNA sequencing identification. According to the CLSI guidelines for anaerobic drug sensitivity testing, 19 strains were identified as metronidazole-resistant (minimum inhibitory concentration, MIC ≥ 32 µg/mL), of which 4 clinical strains were observed to be strong biofilm producer and the final minimum biofilm inhibitory concentration (MBIC) of metronidazole was increased to 512 µg/mL. Sophora flavescens Alkaloids (SFAs), a traditional chinese medicine, could not only inhibit the growth of metronidazole-resistant G. vaginalis in planktonic (MIC: 0.3125-1.25 mg/mL), but also eliminate the biofilm formation (MBIC: 0.625-1.25 mg/mL). In the high-magnification scanning electron, it was observed that the morphology of biofilm changed from a thick to flaky shape and was nearly depleted. These results indicate that SFAs could not only inhibit the growth of metronidazole-resistant G. vaginalisin planktonic and biofilm levels, but also destroyed the biofilm morphology and microstructure, which may contribute to the prevention of BV recurrence.

Emerging role of long non-coding RNA JPX in malignant processes and potential applications in cancers.

ABSTRACT: Long non-coding RNAs (lncRNAs) reportedly function as important modulators of gene regulation and malignant processes in the development of human cancers. The lncRNA JPX is a novel molecular switch for X chromosome inactivation and differentially expressed JPX has exhibited certain clinical correlations in several cancers. Notably, JPX participates in cancer growth, metastasis, and chemoresistance, by acting as a competing endogenous RNA for microRNA, interacting with proteins, and regulating some specific signaling pathways. Moreover, JPX may serve as a potential biomarker and therapeutic target for the diagnosis, prognosis, and treatment of cancer. The present article summarizes our current understanding of the structure, expression, and function of JPX in malignant cancer processes and discusses its molecular mechanisms and potential applications in cancer biology and medicine.

Prevalence of Mycoplasma genitalium and Chlamydia trachomatis in Chinese female with lower reproductive tract infection: a multicenter epidemiological survey.

BACKGROUND: Chlamydia trachomatis and Mycoplasma infections have been regarded as severe challenges to public health worldwide because their potential risk of leading to serious reproductive complications. C. trachomatis is the most common sexually transmitted bacterial infections and the prevalence has been increasing in recent years. As a newly discovered pathogen, Mycoplasma genitalium has gradually been recognized as important sexually transmitted infection and even been called a "new chlamydia". There are no official epidemiological data of M. genitalium in China especially in women with lower reproductive tract infection. This work aims to understand the prevalence and risk factors of M. genitalium and C. trachomatis in women with lower reproductive tract infections and to provide reference for the formulation of health policy in China. METHODS: This study was conducted in the gynecological clinics of 12 hospitals geographically located in different regions in China. Women with purulent cervical secretions or abnormal vaginal microecology were included as the research group, and those with normal vaginal microecology and cervical secretions were included as the control group. A total of 2190 participants were recruited in this project including 1357 of research group and 833 of control group. All participants were required to complete questionnaires, whose vaginal discharge were collected for vaginal microecology test and cervical discharge for detection of M. genitalium and C. trachomatis. RESULTS: The prevalence of C. trachomatis and M. genitalium were 7.1% (96/1357) and 3.8% (51/1357), respectively in research group. The prevalence of C. trachomatis and M. genitalium varied in different regions. Infection rates of C. trachomatis and M. genitalium were higher in women with abnormal vaginal microecology (C.t P = 0.038, M.g P = 0.043), especially in women with bacterial vaginosis and mixed vaginitis, of which C. trachomatis showed statistical differences (bacterial vaginosis, P = 0.035; mixed vaginitis, P = 0.0001) and M. genitalium was close to statistical differences (bacterial vaginosis, P = 0.057; mixed vaginitis, P = 0.081). Alcoholism and abnormal vaginal microecology were positively correlated with both C. trachomatis and M. genitalium infection. Increasing age, being married and multi-parity were negatively correlated with C. trachomatis infection. There is a positive correlation between multiple sexual partners, diversed styles of sex and C. trachomatis infection. CONCLUSIONS: Women with lower genital dysbiosis have an increased risk of C. trachomatis and M. genitalium. The overall prevalence of M. genitalium is lower than that of C. trachomatis, while they have similarities in the characteristics of infection. Although M. genitalium is not routinely screened as C. trachomatis in young women, attention should be paid to M. genitalium infection in young women with abnormal vaginal microecology or having childbearing needs.

Kangfuxiaoyanshuan alleviates uterine inflammation and adhesion via inhibiting NF-κB p65 and TGF-ß/MMP-2 signaling pathway in pelvic inflammatory disease rats.

Background and aims: Pelvic inflammatory disease (PID) is infection-induced inflammation of the female upper reproductive tract that results in high fever, ectopic pregnancy, infertility, and varying degrees of chronic pelvic pain. Recent clinical studies have shown that Kangfuxiaoyanshuan (KFXYS), a Traditional Chinese Medicine (TCM) formulation, may short the course of the disease and reduce the occurrence of PID sequelae, but its pharmacological action and potential mechanism have not been fully elucidated. Here, we aimed to investigate the therapeutic effects and mechanism of KFXYS in rats with PID. Materials and Methods: A PID rat model was constructed through endometrial mechanical injury and pathogen infection. The rectal temperature was measured during the 14-days course of treatment, and the white blood cell (WBC) count in the blood and the levels of cytokines (IFN-γ, IL-1ß, IL-4, TNF-α) in the serum were evaluated by ELISA. Hematoxylin and eosin (HE) staining was performed to analyze pathological changes, and transmission electron microscopy (TEM) was used to observe ultrastructural changes. The p-p65/p65 protein expression was evaluated by western blotting and the levels of MMP-2 and TGF-ß in adhesion tissues were assessed by immunohistochemistry. Results: KFXYS lowered the rectal temperature and the WBC counts in the blood in the acute stage of PID and alleviated inflammatory cell infiltration of the uterus, especially when combined with levofloxacin. KFXYS significantly decreased the levels of proinflammatory cytokines (IFN-γ, IL-1ß, IL-4) and adhesion-related factors (TNF-α) and protected the ultrastructure of endometrial epithelial cells. Mechanistically, KFXYS inhibited the NF-κB activation by decreasing phosphorylation of p65, thus the alleviation of inflammation further reduced the expression of TGF-ß and MMP-2, and inhibited the occurrence of uterine adhesions. Conclusion: These results revealed that KFXYS alleviated pelvic inflammation and effectively inhibits inflammation-associated adhesion, which indicated the potential role of KFXYS for treatment of PID and the prevention of PID sequelae.

Cross-Part Learning for Fine-Grained Image Classification.

Recent techniques have achieved remarkable improvements depended on mining subtle yet distinctive features for fine-grained visual classification (FGVC). While prior works directly combine discriminative features extracted from different parts, we argue that the potential interactions between different parts and their abilities to category predictions should be taken into consideration, which enables significant parts to contribute more to the decision of the sub-category. To this end, we present a Cross-Part Convolutional Neural Network (CP-CNN) in a weakly supervised manner to explore cross-learning among multi-regional features. Specifically, the context transformer is implemented to encourage joint feature learning across different parts under the guidance of a navigator. The part with the highest confidence is regarded as a navigator to deliver distinguishing characteristics to the others with lower confidence while the complementary information is retained. To locate discriminative but subtle parts precisely, a part proposal generator (PPG) is designed with the feature enhancement blocks, through which complex scale variations caused by the viewpoint diversity can be effectively alleviated. Extensive experiments on three benchmark datasets demonstrate that our proposed method consistently outperforms existing state-of-the-art methods.

Circulating circTOLLIP serves as a diagnostic biomarker for liquid biopsy in non-small cell lung cancer.

BACKGROUND: Circular RNAs (CircRNAs) have been found to possess vital functions in tumorigenesis of various cancer types, including non-small cell lung cancer (NSCLC). The aim of this study was to identify and explore the diagnostic values of the newly found Toll interacting protein (TOLLIP)-derived circRNA (circTOLLIP) for liquid biopsy in NSCLC. METHODS: RNase R and actinomycin D assays were conducted to confirm the existence and stability of circTOLLIP. RT-qPCR was performed to identify the expression levels of circTOLLIP in NSCLC tumor tissues, whole blood, and cell lines. The diagnostic values were evaluated by receiver operating characteristic (ROC) curve analysis. RESULTS: CircTOLLIP was screened as a candidate biomarker and was found to be significantly down-regulated in both NSCLC tissues and cell lines. Interestingly, circulating circTOLLIP was also lower-expressed in the whole blood of patients with NSCLC compared to that of patients with benign lung disease and healthy controls. Importantly, the circulating circTOLLIP represented better diagnostic values in comparison to the traditional tumor markers (NSE, CYFR21-1, and CA72-4), and showed higher stability even though the whole blood was exposed to various tough conditions. CONCLUSIONS: Our findings indicate that circTOLLIP can be used as a non-invasive biomarker to distinguish early-stage NSCLC from benign lung diseases and from healthy controls, suggesting the potential application of circTOLLIP for liquid biopsy in NSCLC.

Distinction between vaginal and cervical microbiota in high-risk human papilloma virus-infected women in China.

BACKGROUND: High-risk human papilloma virus (hrHPV) is the main causal factor of cervical precancer and cancer when persistent infection is left untreated. Previous studies have confirmed the vaginal microbiota is associated with HPV infection and the development of cervical lesions. The microbiota at different parts of the female genital tract is closely related but different from each other. To analyze the distinction between the vaginal and cervical microbiota of hrHPV(+) women in China, one hundred subjects were recruited, including 10 patients with HPV16/18(+) and cervical carcinoma, 38 patients with HPV16/18(+) but no cervical carcinoma, 32 patients with other hrHPV(+) and 20 healthy controls with HPV(-). Vaginal and cervical microbiota were separately tested through next-generation sequencing (NGS) targeting the variable region (V3-V4) of the bacterial ribosome 16S rRNA gene. RESULTS: HrHPV(+) subjects had higher percentages of vaginal douching history (P = 0.001), showed more frequent usage of sanitary pads (P = 0.007), had more sex partners (P = 0.047), were more sexually active (P = 0.025) and more diversed in ways of contraception (P = 0.001). The alpha diversity of the cervical microbiota was higher than that of the vagina. The cervical microbiota consisted of a lower percentage of Firmicutes and a higher percentage of Proteobacteria than the vagina at the phylum level. Sphingomonas, belonging to α-Proteobacteria, was almost below the detection limit in the vagina but accounted for five to 10 % of the bacteria in the hrHPV(-) cervix (P<0.001) and was inversely associated with hrHPV infection (P<0.05). Pseudomonas, belonging to γ-Proteobacteria, could hardly be seen in the normal vagina and shared a small percentage in the normal cervix but was significantly higher in the HPV16/18(+) (P<0.001) and cancerous cervix (P<0.05). No significant difference was shown in the percentage of BV associated anaerobes, like Gardnerella, Prevotella, Atopobium and Sneathia, between the cevix and vigina. CONCLUSIONS: The proportion of Proteobacteria was significantly higher in the cervical microbiota than that of vagina. The hrHPV infection and cervical cancer was positively associated with Pseudomonas and negatively associated with Sphingomonas. It is of great improtance to deeply explore the cervical microbiota and its function in cervical cacinogenesis.

Comparative analysis of the vaginal microbiome of Chinese women with Trichomonas vaginalis and mixed infection.

The high prevalence and serious long-term sequelae of Trichomonas vaginalis (TV) infection worldwide is of a particular concern; however, data regarding the differences in the composition of the vaginal microbiome in cases of single TV infection or mixed infections (i.e., presence of TV and bacterial vaginosis) are scarce. We employed metagenomic sequencing analyses to study gene expression in the vaginal microbiota of women with single TV infection and mixed infection. Women infected with only TV had significantly higher abundance of Mycoplasma, Prevotella, and Streptococcus compared to women without vaginal infection (control). Women infected with mixed infections had a significantly higher abundance of Mycoplasma, Prevotella, Streptococcus, Anaerococcus, Dialister, Peptostreptococcus, Peptoniphilus and a significantly lower abundance of Lactobacillus than TV alone. Mixed infections had a significantly higher abundance of Prevotella, Anaerococcus and Dialister. Our findings suggest that the bacterial community composition varies among healthy women, women with TV alone, and those with mixed infection, and we hypothesize that these bacterial vaginosis (BV)-associated bacterium may play a role in the pathogenesis and recurrence of TV. Probiotic pessaries may necessarily be the answer because shifting the vaginal microbiome and host responses is probably a complex undertaking.

Identifying the clinical presentations, progression, and sequela of pelvic inflammatory disease through physiological, histological and ultrastructural evaluation of a rat animal model.

BACKGROUND: Patients with pelvic inflammatory disease (PID) are at an increased risk of ectopic pregnancy, infertility, and varying degrees of chronic pelvic pain. The aims of this study were to establish a rat model of PID and characterize its progression in order to assist in the study of pathophysiological mechanisms and to provide animal model for future studies of PID treatments. METHODS: Fifty Sprague-Dawley rats (female, 6-weeks-old) were divided into a model group (n=28) and a control group (n=22). The rat endometrium was mechanically injured by a needle which moved back and forth 3 times on the endometrial tissue, and a mixed bacterial solution (6×108 CFU) of equal concentrations of Escherichia coli and Staphylococcus aureus was injected into both horns of the rat uterus. Physiological characteristics including weight, temperature, blood, and inflammatory factors were compared, and immunohistochemistry and transmission electron microscopy were used to evaluate the progress and sequela of PID. RESULTS: The model rats experienced acute PID in the first 14 days and exhibited higher body temperatures and decreased body weight. Infection-related factors in the blood were also significantly changed compared with the normal group, with obviously increased serum levels of C-reactive protein (CRP), interferon gamma (IFN-γ), and interleukin-4 (IL-4). Congestion and edema were observed in the uteri of the model rats, followed by infiltration of numerous inflammatory cells and ultrastructural morphology changes. Histological examination of the uterus showed that adhesion initially appeared at approximately 21 days. In addition to the increased collagen fibers biomass, the expression of transforming growth factor-beta 1 (TGF-ß1) was elevated, which might have contributed to pelvic tissue adhesion formation in the PID sequela. CONCLUSIONS: This study clearly described the characteristics and progression of PID in a rat model. The detailed evidence increased our understanding of the pathogenesis and progression of PID and may be useful for future studies of PID treatments.

Neuroinflammation changes with periodontal inflammation status during periodontitis in wild-type mice.

OBJECTIVE: To investigate neuroinflammation under different periodontal status. MATERIALS AND METHODS: Experimental periodontitis was induced by molar ligation (Lig group) or periodontal injection of lipopolysaccharide (LPS, Lps group). Periodontal status was assessed by alveolar bone resorption and periodontal inflammation. Micro-computed tomography and haematoxylin-eosin staining were performed to assess alveolar bone resorption and periodontal inflammation, respectively. Neuroinflammation was assessed by glial cell proliferation and proinflammatory factor expression. Microgliosis was determined by immunofluorescence. Astrogliosis was determined by immunohistochemistry. Expressions of tumour necrosis factor-alpha (TNF-α) and interleukin (IL)-1ß were assessed by enzyme-linked immunosorbent assay. RESULTS: Microgliosis and astrogliosis in the Lig group were notable with molar ligation for 2 weeks and 4 weeks (p < .05), but were only slightly different similar from the control group by week 12. Microgliosis and astrogliosis in the Lps group were significant with LPS injection for 4 and 8 weeks (p < .05). The groups displayed a positive correlation between the degree of periodontal inflammation and the number of glial cells (p < .05). Expressions of IL-1ß and TNF-α in the Lps group were significantly increased with LPS injection for 8 weeks (p < .05). In the Lig group, only TNF-α was highly expressed with molar ligation for 12 weeks (p < .05). CONCLUSION: Both models demonstrated that the inflammatory response in the hippocampus of mice can change during periodontitis depending on the periodontal inflammation status.

Deep Neural Networks Offer Morphologic Classification and Diagnosis of Bacterial Vaginosis.

Bacterial vaginosis (BV) is caused by the excessive and imbalanced growth of bacteria in vagina, affecting 30 to 50% of women. Gram staining followed by Nugent scoring based on bacterial morphotypes under the microscope is considered the gold standard for BV diagnosis; this method is often labor-intensive and time-consuming, and results vary from person to person. We developed and optimized a convolutional neural network (CNN) model and evaluated its ability to automatically identify and classify three categories of Nugent scores from microscope images. The CNN model was first established with a panel of microscopic images with Nugent scores determined by experts. The model was trained by minimizing the cross-entropy loss function and optimized by using a momentum optimizer. The separate test sets of images collected from three hospitals were evaluated by the CNN model. The CNN model consisted of 25 convolutional layers, 2 pooling layers, and a fully connected layer. The model obtained 82.4% sensitivity and 96.6% specificity with the 5,815 validation images when altered vaginal flora and BV were considered the positive samples, which was better than the rates achieved by top-level technologists and obstetricians in China. The capability of our model for generalization was so strong that it exhibited 75.1% accuracy in three categories of Nugent scores on the independent test set of 1,082 images, which was 6.6% higher than the average of three technologists, who are hold bachelor's degrees in medicine and are qualified to make diagnostic decisions. When three technologists ran one specimen in triplicate, the precision of three categories of Nugent scores was 54.0%. One hundred three samples diagnosed by two technologists on different days showed a repeatability of 90.3%. The CNN model outperformed human health care practitioners in terms of accuracy and stability for three categories of Nugent score diagnosis. The deep learning model may offer translational applications in automating diagnosis of bacterial vaginosis with proper supporting hardware.

Impact of examined lymph node count on staging and long-term survival of patients with node-negative stage III gastric cancer: a retrospective study using a Chinese multi-institutional registry with Surveillance, Epidemiology, and End Results (SEER) data validation.

BACKGROUND: Accumulating evidence has confirmed the potential prognostic value of examined lymph nodes (ELNs) in patients with gastric cancer (GC). However, there is currently no consensus on the threshold ELN number for predicting both stage migration and long-term survival, especially in patients with stage III GC. This study aimed to validate the need to increase the ELN count to improve its prognostic accuracy in node-negative patients with stage III GC after curative gastrectomy. METHODS: This retrospective, population-based study analyzed the clinical data of 84 patients with node-negative stage III GC from three high-volume institutions in China and 196 cases from the Surveillance, Epidemiology and End Results (SEER) program registry. The optimal number of ELNs was determined by receiver operating characteristic (ROC) curve analysis. Clinicopathological characteristics significantly related to survival were evaluated using the Kaplan-Meier method and Cox proportional hazards analysis. Stratified analyses were adopted to assess the prognostic predictive ability of the identified optimal number of ELNs in different populations. Survival differences among subgroups were analyzed to assess the impact of ELN count on stage migration according to overall survival (OS) among GC patients. RESULTS: The optimal number of ELNs was >31 according to ROC analysis of patients with node-negative stage III GC who underwent gastrectomy. Multivariate analysis identified ELNs as an independent predictor of postoperative OS in patients with node-negative stage III GC in both the Chinese cohort [hazard ratio (HR) 0.235; P<0.001] and the SEER cohort (HR 0.421; P<0.010). Stratified analysis demonstrated that >31 ELNs was a prerequisite for accurate prognostic evaluation of patients with node-negative stage III GC, regardless of sex, tumor size, and other factors. Stage migration between pT4bN0M0 and pT4bN1M0 was detected in patients with >31 ELNs. A nomogram was created to predict OS among patients with node-negative stage III GC. These results were validated using data from the SEER cohort. CONCLUSIONS: The number of ELNs was significantly associated with prognosis in patients with stage III GC after gastrectomy with systemic lymphadenectomy in both the Chinese and SEER cohorts. The results suggest that >31 ELNs are required for an accurate prognostic evaluation in patients with GC, especially those with node-negative stage III GC.

Antimicrobial Susceptibility Testing of Metronidazole and Clindamycin against Gardnerella vaginalis in Planktonic and Biofilm Formation.

BACKGROUND: Bacterial vaginosis (BV), one of the most common vaginal ecosystem-related microbiologic syndromes, is the most common disorder in women of reproductive age. Gardnerella (G.) vaginalis is the predominant species causing this infection. Our aim was to compare the antimicrobial susceptibilities of metronidazole and clindamycin against G. vaginalis at planktonic and biofilm levels. METHODS: From September 2019 to October 2019, we recruited a total of 10 patients with BV who underwent gynecological examinations at Beijing Obstetrics and Gynecology Hospital. G. vaginalis isolates were obtained from the vagina and identified using their characteristic colony morphology. Sequence data of clinical G. vaginalis isolates were confirmed by comparing 16S rDNA sequences. Subsequently, clinical isolates were evaluated for antimicrobial susceptibilities in vitro to metronidazole and clindamycin at planktonic and biofilm levels. The minimum inhibitory concentration (MIC) for metronidazole and clindamycin was evaluated by antimicrobial susceptibility testing. The minimum biofilm eradication concentration (MBEC) was evaluated by the biofilm inhibition assay. RESULTS: Planktonic clinical isolates showed a significantly higher susceptibility rate (76.67%) and lower resistance rate (23.33%) to clindamycin than to metronidazole (susceptibility rate: 38.24%; resistance rate: 58.82%; P < 0.05 for both). Furthermore, in comparison to planktonic isolates, the minimum inhibitory concentration (MIC) of metronidazole was significantly higher for biofilm-forming isolates (7.3 ± 2.6 µg/mL vs. 72.4 ± 18.3 µg/mL; P=0.005); the resistance rate was 27.3%, and the minimum biofilm eradication concentration (MBEC) was >128 µg/mL. Moreover, the MIC of clindamycin was higher too for biofilm-forming isolates (0.099 ± 0.041 µg/mL vs. 23.7 ± 9.49 µg/mL; P=0.034); the resistance rate was 27.3%, and the MBEC of clindamycin was 28.4 ± 6.50 µg/mL. CONCLUSION: Our results indicate that in comparison to metronidazole, clindamycin seems to be a better choice to tackle G. vaginalis as it exhibits a relatively higher susceptibility rate and lower resistance rate.

Extranodal soft tissue metastasis as an independent prognostic factor in gastric cancer patients aged under 70 years after curative gastrectomy.

BACKGROUND: Accumulating evidence confirms the potential prognostic value of extranodal soft tissue metastasis (ESTM) in patients with solid cancers. The aim of this study was to elucidate the potential relationship between ESTM and lymph node (LN) metastasis, demonstrate clinicopathological predictive prognostic factors for ESTM and LN metastasis, and identify the prognostic value of ESTM for gastric cancer (GC) patients aged under 70 years. METHODS: A total of 580 GC patients who underwent the curative resection between 2003 and 2011 were included to identify if ESTM is essential to improve the accuracy of prognostic evaluation of the GC patients postoperatively. Overall survival rates were tested by Kaplan-Meier analysis. Univariate and multivariate analyses were applied to clarify the independent prognostic factors. Logistic regression analysis was adopted to clarify the risk factors for evaluating the presence of ESTM and LN metastasis. After cut-point survival analysis, the GC patients were divided into three subgroups based on the number of ESTM and then incorporated into the pTNM stage of gastric carcinoma to identify the possibility and necessity of incorporating ESTM into staging. RESULTS: ESTM was associated with advanced pT, pN and pTNM categories, large tumour size and the presence of signet-ring cell (SRC) variants. Survival analyses revealed that ESTM was associated with the OS and was an independent prognostic predictor in this GC patient cohort. Logistic regression analysis proved that ESTM and pT stage are significantly correlated with LN metastasis. Additionally, the ESTM was incorporated into the eighth edition of the pTNM classification and the prognostic evaluation of pTNME classification were calculated directly, and the results indicated that ESTM can reduce the stage migration. CONCLUSIONS: ESTM is a significant independent predictor of survival in GC patients. To achieve R0 surgery, lymph nodes, soft tissues, fascia and adipose tissue should be resected en bloc at the same time as lymph node dissection. ESTM should be incorporated into pTNM staging according to the number retrieved from postoperative samples.

Learning a Deep Dual Attention Network for Video Super-Resolution.

Recently, deep learning based video super-resolution (SR) methods combine the convolutional neural networks (CNN) with motion compensation to estimate a high-resolution (HR) video from its low-resolution (LR) counterpart. However, most previous methods conduct downscaling motion estimation to handle large motions, which can lead to detrimental effects on the accuracy of motion estimation due to the reduction of spatial resolution. Besides, these methods usually treat different types of intermediate features equally, which lack flexibility to emphasize meaningful information for revealing the high-frequency details. In this paper, to solve above issues, we propose a deep dual attention network (DDAN), including a motion compensation network (MCNet) and a SR reconstruction network (ReconNet), to fully exploit the spatio-temporal informative features for accurate video SR. The MCNet progressively learns the optical flow representations to synthesize the motion information across adjacent frames in a pyramid fashion. To decrease the mis-registration errors caused by the optical flow based motion compensation, we extract the detail components of original LR neighboring frames as complementary information for accurate feature extraction. In the ReconNet, we implement dual attention mechanisms on a residual unit and form a residual attention unit to focus on the intermediate informative features for high-frequency details recovery. Extensive experimental results on numerous datasets demonstrate the proposed method can effectively achieve superior performance in terms of quantitative and qualitative assessments compared with state-of-the-art methods.

Predictive values of multidetector-row computed tomography combined with serum tumor biomarkers in preoperative lymph node metastasis of gastric cancer.

OBJECTIVE: Multidetector-row computed tomography (MDCT) and serum tumor biomarkers are commonly used to evaluate the preoperative lymph node metastasis and the clinical staging of gastric cancer (GC). This study intends to evaluate the clinical predictive value of MDCT and serum tumor biomarkers in lymph node metastasis of GC. METHODS: The clinicopathologic data of 445 GC patients who underwent radical gastrectomy were retrospectively analyzed to evaluate the diagnostic value of MDCT and serum tumor biomarkers in lymph node metastatic staging of GC before surgery. RESULTS: With the multinomial logistic regression analysis, the independent relative factors of lymph node metastasis of GC were identified as tumor size, depth of tumor invasion, vessel invasion, vascular embolus, and soft tissue invasion. The optimal critical value of the short diameter of lymph nodes detected by MDCT scanning for evaluation of preoperative lymph node metastasis was 6.0 mm, with 75.7% as predictive accuracy of lymph node metastasis compared to the postoperative pathological results of GC patients. In addition, the critical value of the short diameter of lymph nodes combined with serum tumor biomarkers [including carbohydrate antigen (CA)-724 and CA-199] could show an enhancement of predictive sensitivity of lymph node metastasis (up to 89.3%) before surgery. CONCLUSIONS: MDCT combined with serum tumor biomarkers should be adopted to improve preoperative sensitivity and accuracy of lymph node metastasis for GC patients.