A lightweight hybrid model for the automatic recognition of uterine fibroid ultrasound images based on deep learning.

PURPOSE: Uterine fibroids (UF) are the most frequent tumors in ladies and can pose an enormous threat to complications, such as miscarriage. The accuracy of prognosis may also be affected by way of doctor inexperience and fatigue, underscoring the want for automatic classification fashions that can analyze UF from a giant wide variety of images. METHODS: A hybrid model has been proposed that combines the MobileNetV2 community and deep convolutional generative adversarial networks (DCGAN) into useful resources for medical practitioners in figuring out UF and evaluating its characteristics. Real-time automated classification of UF can aid in diagnosing the circumstance and minimizing subjective errors. The DCGAN science is utilized for superior statistics augmentation to create first-rate UF images, which are labeled into UF and non-uterine-fibroid (NUF) classes. The MobileNetV2 model then precisely classifies the photos based totally on this data. RESULTS: The overall performance of the hybrid model contrasts with different models. The hybrid model achieves a real-time classification velocity of 40 frames per second (FPS), an accuracy of 97.45%, and an F1 rating of 0.9741. CONCLUSION: By using this deep learning hybrid approach, we address the shortcomings of the current classification methods of uterine fibroid.

Activation of Gonadotropin-releasing Hormone Receptor Impedes the Immunosuppressive Activity of Decidual Regulatory T Cells via Deactivating the Mechanistic Target of Rapamycin Signaling.

Understanding maternal immune tolerance is crucial for the development of therapeutics for immunological pregnancy complications. Decidual regulatory T cells (Tregs) play a pivotal role in the maintenance of maternal immune tolerance. Using a murine allogeneic pregnancy model in the current study, we identified the up-regulation of gonadotropin-releasing hormone receptor (GnRHR) in decidual T cell subsets including CD4+ conventional T cells, CD8+ T cells, and CD4+Foxp3+ Tregs. Using a lentivirus-mediated GnRHR overexpression system and a GnRHR agonist, we found that GnRHR activation decreased the expression of Treg functional molecules such as IL10 (IL-10), IL-35 subunit EBI3 (Ebi3), IL2RA (CD25), TNFRSF18 (GITR), ICOS, and Treg master regulator FOXP3. The functional analysis indicated that GnRHR activation impairs the ability of Tregs to inhibit conventional T cell proliferation. We also revealed that GnRHR activation suppressed the mechanistic target of rapamycin (mTOR) signaling in GnRHR-overexpressing splenic Tregs (Wild type C57BL/6 J background) and decidual Tregs. MHY1485, a potent mTOR activator, effectively abolished the effect of the GnRHR agonist and promoted the immunosuppressive capability of Tregs. Furthermore, in an adoptive transfer model, Treg-specific GnRHR knockdown increased Foxp3 expression in decidual Tregs while decreasing the production of IFN-γ and IL-17 in decidual effector CD4+ T cells and reducing the production of IFN-γ in decidual effector CD8+ T cells. Taken together, the present study unveils a novel mechanism by which the immunosuppressive function of decidual Tregs is modulated, and deepens our understanding of maternal immune tolerance.

lncRNA DSCAM-AS1 facilitates the progression of endometrial cancer via miR-136-5p.

Previous studies have indicated that long non-coding RNA (lncRNA) down syndrome cell adhesion molecule antisense 1 (DSCAM-AS1) serves an oncogenic role in numerous cancer types. However, its role in endometrial cancer (EC) remains largely unknown. In the present study, DSCAM-AS1 expression levels in EC tissues and cells and their normal counterparts were analyzed using reverse transcription-quantitative. In vitro and in vivo experiments were conducted to validate the functions of DSCAM-AS1 in EC. It was revealed that DSCAM-AS1 was expressed at a high level in EC tissues and cells after analyzing patient data and data obtained from The Cancer Genome Atlas. Notably, it was also revealed that high DSCAM-AS1 expression was associated with a less favorable overall survival in patients with EC. Knockdown of DSCAM-AS1 was able to suppress EC cell proliferation by upregulating cell apoptosis in vitro. Furthermore, it was revealed that DSCAM-AS1 acted as a microRNA (miR)-136-5p sponge to exert its oncogenic roles in EC. Collectively and to the best of our knowledge, the current results provided first evidence that DSCAM-AS1 stimulated EC progression by regulating miR-136-5p, which may improve the understanding of the roles of ncRNAs in EC, and may help identify novel targets for anticancer treatment.

Reference range of fetal thorax using two-dimensional and three-dimensional ultrasound VOCAL technique and application in fetal thoracic malformations.

BACKGROUND: To establish the normal reference range of fetal thorax by two-dimensional (2D) and three-dimensional (3D) ultrasound VOCAL technique and evaluate the application in diagnosing fetal thoracic malformations. METHODS: A prospective cross-sectional study was undertaken involving 1077 women who have a normal singleton pregnancy at 13-40 weeks gestational age (GA). 2D ultrasound and 3D ultrasound VOCAL technique were utilized to assess fetal thoracic transverse diameter, thoracic anteroposterior diameter, thoracic circumference, thoracic area, lung volume, thoracic volume and lung-to-thoracic volume ratio. The nomograms of 2D and 3D fetal thoracic measurements were created to GA. 50 cases were randomly selected to calculate intra- and inter-observer reliability and agreement. In addition, the case groups including congenital skeletal dysplasia (SD) (15), congenital diaphragmatic hernia (CDH) (30), pulmonary sequestration (PS) (25) and congenital cystic adenomatoid malformation (CCAM) (36) were assessed by the nomograms and followed up subsequently. RESULTS: Both 2D and 3D fetal thoracic parameters increased with GA using a quadratic regression equation. The intra- and inter-observer reliability and agreement of each thoracic parameter were excellent. 2D fetal thoracic parameters could initially evaluate the fetal thoracic development and diagnose the skeletal thoracic deformity, and lung volume, thoracic volume and lung-to-thorax volume ratio were practical to diagnose and differentiate CDH, PS and CCAM. CONCLUSION: We have established the normal fetal thoracic reference range at 13-40 weeks, which has a high value in diagnosing congenital thoracic malformations.

Inhibition of leucine-rich repeats and calponin homology domain containing 1 accelerates microglia-mediated neuroinflammation in a rat traumatic spinal cord injury model.

BACKGROUND: Spinal cord injury (SCI) triggers the primary mechanical injury and secondary inflammation-mediated injury. Neuroinflammation-mediated insult causes secondary and extensive neurological damage after SCI. Microglia play a pivotal role in the initiation and progression of post-SCI neuroinflammation. METHODS: To elucidate the significance of LRCH1 to microglial functions, we applied lentivirus-induced LRCH1 knockdown in primary microglia culture and tested the role of LRCH1 in microglia-mediated inflammatory reaction both in vitro and in a rat SCI model. RESULTS: We found that LRCH1 was downregulated in microglia after traumatic SCI. LRCH1 knockdown increased the production of pro-inflammatory cytokines such as IL-1ß, TNF-α, and IL-6 after in vitro priming with lipopolysaccharide and adenosine triphosphate. Furthermore, LRCH1 knockdown promoted the priming-induced microglial polarization towards the pro-inflammatory inducible nitric oxide synthase (iNOS)-expressing microglia. LRCH1 knockdown also enhanced microglia-mediated N27 neuron death after priming. Further analysis revealed that LRCH1 knockdown increased priming-induced activation of p38 mitogen-activated protein kinase (MAPK) and Erk1/2 signaling, which are crucial to the inflammatory response of microglia. When LRCH1-knockdown microglia were adoptively injected into rat spinal cords, they enhanced post-SCI production of pro-inflammatory cytokines, increased SCI-induced recruitment of leukocytes, aggravated SCI-induced tissue damage and neuronal death, and worsened the locomotor function. CONCLUSION: Our study reveals for the first time that LRCH1 serves as a negative regulator of microglia-mediated neuroinflammation after SCI and provides clues for developing novel therapeutic approaches against SCI.

Histone deacetylase inhibitor, Romidepsin (FK228) inhibits endometrial cancer cell growth through augmentation of p53-p21 pathway.

OBJECTIVE: Romidepsin (FK228), a Histone Deacetylase (HDAC) inhibitor, has been used for anti-cancer therapies. However, the anti-cancer effect of FK228 and its underlying mechanism in endometrial carcinoma (EC) have not been studied. The aime of this study was to investigate the anti-cancer effects of FK228 and the associated mechanism(s) in EC. METHODS: Ishikawa and HEC-1-A endometrial cancer cells were treated with 8nM concentration of FK228 and cell growth was measured by XTT assay. The cell cycle distribution and cell death were measured by flow cytometry, immunofluorescence, respectively. The mNRA and protein expressions were analyzed by quantitative RT-PCR and western blot, respectively. RESULTS: Based on assays carried out in EC cell lines, it was observed that FK228 inhibited EC cell proliferation in a dose and time-dependent manner. Furthermore, following treatment with FK228 for 48h, there were significant induction of apoptosis and cell cycle arrest at G0/G1 phase in EC cells. Moreover, FK228 treatment significantly increased the mRNA and protein expressions of p53, p21, cleaved caspases such as 3, 7 and 8 and PARP. Further, FK228 treatment increased the levels of acetylated histone H3 and H4 that confirms the HDAC inhibition. CONCLUSION: In conclusion, FK228 inhibits EC tumor cell proliferation and induces apoptosis by activation caspase/PARP via the induction of p53/p21 signaling cascades, suggesting that FK228 is a potential therapeutic agent for EC.