Background Junctional adhesion molecule-1 (JAM-1) is intercellular transmembrane protein newly discovered and associated with the tight junction.Tight junction plays an important role in keeping the transparency of cornea,but there are few studies about JAM-1 in cornea tight junction. Objective This study was to determine the expression of JAM-1 in corneal epithelium,stroma,endothelium,and locate the distribution of JAM-1.Methods The corneas of two SFP Wistar rats were obtained,and the samples of epithelial lamella,corneal stroma and endothelium with Descemet membrane were prepared respectively for the detection of the expression of JAM-1 mRNA using reverse transcription polymerase chain reaction(RT-PCR).Primers were designed according to the genes as RGD web provided,and the objective genes were JAM-1,occludin and claudin-1.Products of PCR were examined by 1.5％ agarose gel electrophoresis and assayed with GelDoc-lt UVP Imaging System.The corneal paraffin sections and stretched preparations of epithelium and endothelium of corneal sections from other two SFP Wistar rats were prepared for the examination of JAM-1 protein expression and location by immunohistochemistry.The use of experimental animals followed the Statement of ARVO. Results JAM-1,occludin and claudin-1 mRNA were expressed in rat cornea epithelium,stroma and endothelium.PCR melting curves showed the limpid unimedality.The expression level of JAM-1 mRNA was similar to occludin mRNA and higher than that of claudin-1 with the highest level in the epithelium layer.Immunohistochemistry assay revealed that there was definite JAM-1 antibody staining in the cornea epithelium,stroma and endothelium layers.However,the basal layer of corneal epithelium presented with the strongest staining in comparison with stromal and endothelial layers.Stretched preparations of corneal epithelium and endothelium showed that JAM-1 protein appeared at the junction site of epithelial cells and endothelial cells.The basal layer of the corneal epithelium showed the strongest response,and the staining of corneal endothelium was extensive and diffuse. Conclusions JAM-1 is a composition of intercellular tight junction which expresses in cornea epithelium,endothelium and stroma.However,its appearance and level vary from different corneal layers.
Key words:
Junctional adhesion molecule-1; Tight junction; Cornea; Reverse transcription polymerase chain reaction; hnmunohistochemistry
Primary pulmonary lymphoepithelioma-like carcinoma (PPLELC) is an uncommon subtype of squamous cell carcinoma (SCC) of the lung, closely associated with Epstein-Barr virus (EBV) infection. The pathological features of PPLELC closely resemble those of SCC, which makes it prone to misdiagnosis. Surgical intervention constitutes the primary treatment approach for PPLELC.This report describes a 44-year-old woman who was hospitalized for 1 mo due to left chest pain. Computed tomography revealed a mass shadow in the anterior basal segment of the left lower lobe, and a subsequent needle biopsy suggested SCC. The patient underwent radical tumor resection in the lower left lobe of the lung, and postoperative pathological examination indicated lymphoepithelial carcinoma, and the test for EBV encoded small RNA was positive. Following surgery, the patient was scheduled to receive four cycles of adjuvant chemotherapy, using the paclitaxel + carboplatin regimen, but the patient refused further treatment.PPLELC is an exceptionally rare subtype of lung SCC and is prone to misdiagnosis.
Precise segmentation of chromosome in the real image achieved by a microscope is significant for karyotype analysis. The segmentation of image is usually achieved by a pixel-level classification task, which considers different instances as different classes. Many instance segmentation methods predict the Intersection over Union (IoU) through the head branch to correct the classification confidence. Their effectiveness is based on the correlation between branch tasks. However, none of these methods consider the correlation between input and output in branch tasks. Herein, we propose a chromosome instance segmentation network based on regression correction. First, we adopt two head branches to predict two confidences that are more related to localization accuracy and segmentation accuracy to correct the classification confidence, which reduce the omission of predicted boxes in NMS. Furthermore, a NMS algorithm is further designed to screen the target segmentation mask with the IoU of the overlapping instance, which reduces the omission of predicted masks in NMS. Moreover, given the fact that the original IoU loss function is not sensitive to the wrong segmentation, K-IoU loss function is defined to strengthen the penalty of the wrong segmentation, which rationalizes the loss of mis-segmentation and effectively prevents wrong segmentation. Finally, an ablation experiment is designed to evaluate the effectiveness of the chromosome instance segmentation network based on regression correction, which shows that our proposed method can effectively enhance the performance in automatic chromosome segmentation tasks and provide a guarantee for end-to-end karyotype analysis.
Objective To approach the function of JAM-1 in corneal endothelium by observing cornea endothelium structure and activity change induced by antibody blockage. Methods Twenty-eight corneas were obtained from 14 rats and were divided into two groups. Corneas of the right eye were in experiment group and processed with monoclonal antibody of JAM-1 to block the function of JAM-l; corneas of the left eye were in control group and processed with PBS buffer. All corneas were cultured in DMEM with high glucose for 5 days and then dehydrated in DMEM containing 5% dextran-T500 for 24 hours. Twelve corneas of each group were underwent Trypan blue - alizarin vital staining and cornea thickness were measured. Two corneas of each group and other 2 flesh normal corneas were fixed with 4% glutaraldehyde for transmission electron microscopy. Results The active cell counting of experiment group and control group were （2008± 505）/mm2 and （934±521）/mm2 respectively, P 〈0.01. The cornea thickness of the two groups were （375.02± 83.33）1.1 m and （461.814±39.14）p m respectively, P 〈0.01. Transmission electron microscopy showed that in experiment group the endothelium cell appeared more ultrastructural damage and autophagosome formation. Conclusions JAM-l, as a component of cell junctions, its function is essential for corneal endothelium structure and activity in tissue culture preservation.
Key words:
JAM-l; Tissue culture preservation; Vital staining; Transmission electron mi-croscopy
Background. Geiparvarin (GN) is a natural compound with anticancer activity. However, the effect of GN on osteosarcoma (OS) and the anticancer mechanism of GN are still unclear. Methods. Cell viability was measured by MTT assay. Invasion and migration were measured by transwell assay. The miRNAs, genes, and signaling pathways affected by GN were confirmed by whole-genome sequencing and bioinformatics analysis. The expression level of mRNA and protein was measured by qRT-PCR and western blot. Animal experiment was performed for confirming the GN anticancer effect and side effect in vivo. Results. Our results show that GN significantly inhibits OS cell growth and metastasis in vitro. In vivo experiment also showed that GN dramatically suppressed OS lung metastasis and no side effects were found. GN treatment inhibited OS metastasis through upregulating the ANGPTL4 expression. In addition, GN inhibited the expression of miR-3912-3p, which targets ANGPTL4. Conclusion. Our data clearly indicate that GN is a candidate drug for OS treatment, and GN plays its role through miR-3912-3p/ANGPTL4 in OS.
Abstract Background: Maternal admission to the intensive care unit (ICU) during pregnancy or in the postpartum period is a marker of severe acute maternal morbidity. Mechanical ventilation is an important and basic method of maintaining life support in the ICU, but prolonged mechanical ventilation (PMV) is associated with a prolonged length of hospital stay and other adverse outcomes. Therefore, we conducted this retrospective study to describe morbidity and further try to identify the risk factors for PMV in critically ill obstetric women. Methods: The clinical data were obtained from a single-centre retrospective comparative study of 143 critically ill obstetric patients at a tertiary teaching hospital in mainland China between January 1, 2009, and December 31, 2019. Clinical and obstetric parameters were collected to analyse the risk factors for PMV. Patients were separated into groups with and without PMV. Potential risk factors were identified by univariate testing. Multivariate logistic regression was used to evaluate independent predictors of PMV. Results: Out of 29,236 hospital deliveries, 265 critically ill obstetric patients entered the ICU. One hundred forty-five (54.7%) of them were treated with mechanical ventilation. Two were excluded because of death within 24 hours. Sixty-five critically ill obstetric patients (45.5%) underwent PMV. The independent risk factors for PMV included estimated blood loss (odds ratio (OR) =1.296, P=0.029), acute kidney injury (AKI) (OR=4.305, P=0.013), myocardial injury (OR=4.586, P=0.012), and PaO 2 /FiO 2 (OR=0.989, P<0.001). The area under the receiver operating characteristic (ROC) curve based on the predicted probability of the logistic regression was 0.934. Conclusions: Estimated blood loss, AKI, myocardial injury, and PaO 2 /FiO 2 were independent risk factors for PMV in critically ill obstetric patients.
The Taihang Mountains serve as a critical geographical barrier in northern China, delineating two major 2.5-micrometer particulate matter (PM2.5) pollution hotspots in the Beijing–Tianjin–Hebei region and the Fenwei Plain. This study examines the underlying mechanisms and interregional dynamic transport pathways of a severe PM2.5 pollution event that occurred in the urban agglomerations of the Central Taihang Mountains (CTHM) from 8–13 December 2021. The WRF-HYSPLIT simulation was employed to analyze a broader range of potential pollution sources and transport pathways. Additionally, a new river network analysis module was developed and integrated with the Atmospheric Pollutant Transport Quantification Model (APTQM). This module is capable of identifying localized, small-scale (interplot) pollution transport processes, thereby enabling more accurate identification of potential source areas and transport routes. The findings indicate that the persistence of low temperatures, high humidity, and stagnant atmospheric conditions facilitated both the local accumulation and cross-regional transport of PM2.5. The eastern urban agglomerations, such as Shijiazhuang and Xingtai, were predominantly influenced by northwesterly air masses originating from Inner Mongolia and Shanxi, with pollution levels intensified due to topographic blocking and subsidence effects east of the Taihang Mountains. In contrast, western urban centers, including Taiyuan and Yangquan, experienced pollution primarily from short-range transport within the Fen River Basin, central Inner Mongolia, and Shaanxi, compounded by basin-induced stagnation. Three principal transport pathways were identified: (1) a northwestern pathway from Inner Mongolia to Hebei, (2) a southwestern pathway following the Fen River Basin, and (3) a southward inflow from Henan. The trajectory analysis revealed that approximately 68% of PM2.5 in eastern receptor cities was transported through topographic channels within the Taihang Transverse Valleys, whereas 43% of pollution in the western regions originated from intra-basin emissions and basin-capture circulation. Furthermore, APTQM-PM2.5 identified major pollution source regions, including Ordos and Chifeng in Inner Mongolia, as well as Taiyuan and the Fen River Basin. This study underscores the synergistic effects of basin topography, regional circulation, and anthropogenic emissions in shaping pollution distribution patterns. The findings provide a scientific basis for formulating targeted, regionally coordinated air pollution mitigation strategies in complex terrain areas.
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