Risk factors for the occurrence of infection in patients with oral squamous cell carcinoma after restorative reconstruction and its impact on recurrence and quality of life: a retrospective cohort study.

Background: Worldwide, there are approximately 300,000 new cases of oral squamous cell carcinoma (OSCC) and 100,000 deaths each year. The complexity of oral and maxillofacial structures leads to a high risk of surgical infection such as radical tumor resection and free flap reconstruction. Previous studies have shown that diabetes mellitus, previous radiotherapy, oral-neck communication, etc. are risk factors for postoperative infection, but the influence of time on prognosis has not been clarified in detail. This study supplements this aspect and provided a reference for improving the quality of life of patients. Methods: We retrospectively analyzed a total of 168 patients who developed OSCC from July 2014 to September 2019. According to the inclusion and exclusion criteria of this study, the general data questionnaire designed by ourselves was used to sort out the general characteristics and clinical data of the subjects. The t test, Chi-square test and binary logistic regression were used for statistical analysis. Surgical site infections (SSI) are defined as infections associated with surgical procedures. The quality of life was evaluated by the 36-Item Short Form Survey (SF-36) score. A 3-year follow-up was conducted by telephone, Email and outpatient review. Results: Among the 168 patients, the total number of postoperative infections was 22 (13.1%). Binary logistic regression analysis showed that body mass index (BMI) (OR =0.029, P=0.039), American Society of Anesthesiologists (ASA) classification (OR =21.443, P=0.042), preoperative radiotherapy (OR =19.993, P=0.022), Jaw resection status (OR =29.665, P=0.021), Perioperative transfusion (OR =29.148, P=0.020), preoperative white blood cell count (OR =1.763, P=0.017), albumin level (OR =0.853, P=0.033) were independent influencing factors between the two groups (P<0.05). Except for the social functioning and role-emotional dimensions, all dimensions of SF-36 in patients with infection were significantly lower than those without infection. Conclusions: The incidence of postoperative infection after restorative and reconstructive surgery for OSCC deserves the attention of clinicians. For high-risk infected persons, relevant anti-infection measures should be taken early against the infectious source, and the possibility of nosocomial infection should be attached great importance in clinical work. After discharge, patients should also actively do follow-up, education and other related work to reduce the incidence of postoperative infection.

An ultrasound-based deep learning radiomic model combined with clinical data to predict clinical pregnancy after frozen embryo transfer: a pilot cohort study.

RESEARCH QUESTION: Can a multi-modal fusion model based on ultrasound-based deep learning radiomics combined with clinical parameters provide personalized evaluation of endometrial receptivity and predict the occurrence of clinical pregnancy after frozen embryo transfer (FET)? DESIGN: Prospective cohort study of women (n = 326) who underwent FET between August 2019 and December 2021. Input quantitative variables and input image data for radiomic feature extraction were collected to establish a multi-modal fusion prediction model. An additional independent dataset of 453 ultrasound endometrial images was used to establish the segmentation model to determine the endometrial region on ultrasound images for analysis. The performance of different algorithms and different input data for prediction of FET outcome were compared. RESULTS: A total of 240 patients with complete data were included in the final cohort. The proposed multi-modal fusion model performed significantly better than the use of either image or quantitative variables alone to predict the occurrence of clinical pregnancy after FET (P ≤ 0.034). Its area under the curve, accuracy, sensitivity, specificity, positive predictive value and negative predictive value of the proposed model were 0.825, 72.5%, 96.2%, 58.3%, 72.3% and 89.5%, respectively. The Dice coefficient of the multi-task endometrial ultrasound segmentation model was 0.89. Use of endometrial segmentation features significantly improved the prediction performance of the model (P = 0.041). CONCLUSIONS: The multi-modal fusion model based on ultrasound-based deep learning radiomics combined with clinical quantitative variables offers a favourable and rapid non-invasive approach for personalized prediction of FET outcome.

Evaluation of oocyte maturity using artificial intelligence quantification of follicle volume biomarker by three-dimensional ultrasound.

RESEARCH QUESTION: Can a novel deep learning-based follicle volume biomarker using three-dimensional ultrasound (3D-US) be established to aid in the assessment of oocyte maturity, timing of HCG administration and the individual prediction of ovarian hyper-response? DESIGN: A total of 515 IVF cases were enrolled, and 3D-US scanning was carried out on HCG administration day. A follicle volume biomarker established by means of a deep learning-based segmentation algorithm was used to calculate optimal leading follicle volume for predicting number of mature oocytes retrieved and optimizing HCG trigger timing. Performance of the novel biomarker cut-off value was compared with conventional two-dimensional ultrasound (2D-US) follicular diameter measurements in assessing oocyte retrieval outcome. Moreover, demographics, infertility work-up and ultrasound biomarkers were used to build models for predicting ovarian hyper-response. RESULTS: On the basis of the deep learning method, the optimal cut-off value of the follicle volume biomarker was determined to be 0.5 cm3 for predicting number of mature oocytes retrieved; its performance was significantly better than the conventional method (two-dimensional diameter measurement ≥10 mm). The cut-off value for leading follicle volume to optimize HCG trigger timing was determined to be 3.0 cm3 and was significantly associated with a higher number of mature oocytes retrieved (P = 0.01). Accuracy of the multi-layer perceptron model was better than two-dimensional diameter measurement (0.890 versus 0.785) and other multivariate classifiers in predicting ovarian hyper-response (P < 0.001). CONCLUSIONS: Deep learning segmentation methods and multivariate classifiers based on 3D-US were found to be potentially effective approaches for assessing mature oocyte retrieval outcome and individual prediction of ovarian hyper-response.

Inhibition of Autophagy Promotes the Anti-Tumor Effect of Metformin in Oral Squamous Cell Carcinoma.

Oral Squamous Cell Carcinoma (OSCC) is the most common malignant tumor in the head and neck. Due to its high malignancy and easy recurrence, the five-year survival rate is only 50-60%. Currently, commonly used chemotherapy drugs for OSCC include cisplatin, paclitaxel, and fluorouracil, which are highly cytotoxic and cause drug resistance in patients. Therefore, a safe and effective treatment strategy for OSCC is urgent. To address this issue, our study investigated the anti-tumor activity of metformin (the first-line diabetes drug) in OSCC. We found that metformin could inhibit OSCC cell proliferation by promoting apoptosis and blocking the cell cycle in G1 phase. Additionally, we also found that metformin could induce protective autophagy of OSCC cells. After inhibiting autophagy with hydroxychloroquine (HCQ), the metformin-induced apoptosis was enhanced. In vitro, metformin inhibited the growth of subcutaneous xenograft tumor in nude mice and HCQ enhanced this effect of metformin. Therefore, metformin combined with HCQ may become a safe and effective treatment strategy for OSCC.

Pseudo target release behavior of simvastatin through pH-responsive polymer based on dynamic imine bonds: Promotes rapid proliferation of osteoblasts.

In this article, a simvastatin loaded pentaerythritol tetra(3-mercaptopropionate)-allylurea-poly(ethylene glycol) (SIM-loaded PETMP-AU-PEG) polymer with excellent biocompatibility by means of in-situ loading method was synthesized. The presence of the imine bonds has given the polymer system an excellent response performance to weak acidic environment. Specifically, for the SIM-loaded polymer, the simvastatin cumulative release dose is only 2.2% in the first 2 h, and the first 32 h of the cumulative release dose is less than 10% in pH 7.4; However, in pH 6.0, the first 2 h of the cumulative release dose is 65.2%, and the first 32 h of the cumulative release dose is almost 100%. MC3T3-E1 osteoblast cell culture experiments show that the SIM-loaded polymer at pH 6.0 can accelerate the proliferation of osteoblasts significantly, which is expected to promote the rapid proliferation of bone cells in clinical applications and accelerate the healing of the lesion region.

Ultrasound microbubbles mediated miR-let-7b delivery into CD133+ ovarian cancer stem cells.

Ovarian cancer stem cells (OCSCs) are considered the reason for ovarian cancer's emergence and recurrence. Ultrasound-targetted microbubble destruction (UTMD), a non-vial, safe, and promising delivery method for miRNA, is reported to transfect cancer stem cells (CSCs). In the present study, we investigated to transfect miR-let-7b into OCSCs using UTMD. The CD133+ OCSCs, accounted for only 0.1% of ovarian cancer cell line A2780, were separated by flow cytometry, and the CSC characteristics of CD133+ OCSCs have been proved by spheroid formation and self-renewal assay. The miR-let-7b transfection efficiency using UTMD was significantly higher than other groups except lipofectamine group through flow cytometry. The cell viability of all groups decreased after transfection, and the late apoptosis rate of CD133+ OCSCs after miR-let7b transfection induced by UTMD was 2.62%, while that of non-treated cells was 0.02% (P<0.05). Furthermore, the Western blot results demonstrated that the stem cells surface marker of CD133 expression has decreased. Therefore, our results indicated that UTMD-mediated miRNA delivery could be a promising platform for CSC therapy.

Ultrasound in neonatal lung disease.

Lung diseases in neonates can be life-threatening condition and may result in respiratory failure and death. Chest X-ray is a traditional diagnostic technique that results in radiation exposure to patients. Lung ultrasound is a user-friendly imaging technique that has been increasingly used in clinical practice in recent years and presents the advantages of real-time imaging and without radiation. Here we review the sonographic appearances of common neonatal lung diseases and present demonstration of typical cases.

Cr(VI) resistance and removal by indigenous bacteria isolated from chromium-contaminated soil.

The removal of toxic Cr(VI) by microorganisms is a promising approach for Cr(VI) pollution remediation. In the present study, four indigenous bacteria, named LY1, LY2, LY6, and LY7, were isolated from Cr(VI)-contaminated soil. Among the four Cr(VI)-resistant isolates, strain LY6 displayed the highest Cr(VI)-removing ability, with 100 mg/l Cr(VI) being completely removed within 144 h. It could effectively remove Cr(VI) over a wide pH range from 5.5 to 9.5, with the optimal pH of 8.5. The amount of Cr(VI) removed increased with initial Cr(VI) concentration. Data from the time-course analysis of Cr(VI) removal by strain LY6 followed first-order kinetics. Based on the 16S rRNA gene sequence, strain LY6 was identified as Pseudochrobactrum asaccharolyticum, a species that had never been reported for Cr(VI) removal before. Transmission electron microscopy and energy dispersive X-ray spectroscopy analysis further confirmed that strain LY6 could accumulate chromium within the cell while conducting Cr(VI) removal. The results suggested that the indigenous bacterial strain LY6 would be a new candidate for potential application in Cr(VI) pollution bioremediation.

Cr(VI) reduction by a potent novel alkaliphilic halotolerant strain Pseudochrobactrum saccharolyticum LY10.

A novel Cr(VI)-reducing strain, Pseudochrobactrum saccharolyticum LY10, was isolated and characterized for its high Cr(VI)-reducing ability. Strain LY10 had typical characteristics of alkali-tolerance and halotolerance. Kinetic analysis indicated that the maximum reduction rate was achieved under optimum conditions with initial pH 8.3, 20gL(-1) NaCl, 55mgL(-1) Cr(VI), and 1.47×10(9)cellsmL(-1) of cell concentration. Further mechanism studies verified that the removal of Cr(VI) was mainly achieved by a metabolism-dependent bioreduction process. Strain LY10 accumulated chromium both in and around the cells, with cell walls acting as the major binding sites for chromium. X-ray absorption near-edge structure (XANES) analysis further confirmed that the chromium immobilized by the cells was in the Cr(III) state. In the present study, Pseudochrobactrum saccharolyticum was, for the first time, reported to be a Cr(VI)-reducing bacteria. Results from this research would provide a potential candidate for bioremediation of Cr(VI)-contaminated environments, especially alkaline and saline milieus with Cr(VI) at low-to-mid concentrations.

Metastatic signet ring cell carcinoma of the bilateral breasts and ovaries from gastrointestinal tract in a young breastfeeding female - a case report.

We report a case of a metastatic signet ring cell carcinoma (SRCC) of gastrointestinal tract. The case is very rare because gastrointestinal tract SRCC was metastatic to bilateral breasts and ovaries (Krukenberg tumor) in the same young woman almost synchronously under breastfeeding condition. Though the primary site was not detected, IHC results fully verified that the tumor originated from gastrointestinal tract. The severe situation of the patient was believed to be connected to her high estrogen hormone.