Temporomandibular joint (TMJ) disc displacement is one of the most significant subtypes of temporomandibular joint disorders, but its etiology and mechanism are poorly understood. In this study, we elucidated the mechanisms by which destruction of inflamed collagen fibrils induces alterations in the mechanical properties and positioning of the TMJ disc. By constructing a rat model of TMJ arthritis, we observed anteriorly dislocated TMJ discs with aggravated deformity in vivo from five weeks to six months after a local injection of Freund's complete adjuvant. By mimicking inflammatory conditions with interleukin-1 beta in vitro, we observed enhanced expression of collagen-synthesis markers in primary TMJ disc cells cultured in a conventional two-dimensional environment. In contrast, three-dimensional (3D)-cultivated disc cell sheets demonstrated the disordered assembly of inflamed collagen fibrils, inappropriate arrangement, and decreased Young's modulus. Mechanistically, inflammation-related activation of the nuclear factor kappa-B (NF-κB) pathway occurs during the progression of TMJ arthritis. NF-κB inhibition reduced the collagen fibril destruction in the inflamed disc cell sheets in vitro, and early NF-κB blockade alleviated collagen degeneration and dislocation of the TMJ discs in vivo. Therefore, the NF-κB pathway participates in the collagen remodeling in inflamed TMJ discs, offering a potential therapeutic target for disc displacement.
Animals ; NF-kappa B/metabolism* ; Temporomandibular Joint Disorders/pathology* ; Temporomandibular Joint Disc/metabolism* ; Rats ; Rats, Sprague-Dawley ; Disease Models, Animal ; Male ; Collagen/metabolism* ; Cells, Cultured ; Joint Dislocations/pathology* ; Interleukin-1beta ; Arthritis, Experimental

Objective:To develop and evaluate a deep learning-based automatic measurement model for panoramic ultrasound biomicroscopy (UBM) images.Methods:A diagnostic test study was conducted.Preoperative UBM examination results of 372 patients who underwent implantable collamer lens (ICL) implantation were collected at the Eye Center of Renmin Hospital of Wuhan University between February 2021 and March 2023.A total of 1 368 panoramic UBM images were obtained to establish an image database.The dataset was divided into a training set (760 images), a validation set (86 images) and an internal test set (522 images).An expert panel consisting of three ophthalmologists annotated the images.The UNet+ + network was used to automatically segment anterior segment tissues, such as the cornea, lens and iris.In addition, image processing techniques and geometric localization algorithms were developed to automatically identify the anatomical landmarks of pupil diameter (PD), anterior chamber depth (ACD), angle-to-angle distance (ATA) and sulcus-to-sulcus distance (STS) to complete the measurement of these parameters.Additionally, 480 panoramic UBM images of 135 patients (240 eyes) from Aier Eye Hospital of Wuhan University were used as an external test set to further evaluate the performance of the model in different centers.The consistency between the measurements from the model and expert panel, the Pentacam system was assessed.Finally, 150 images were randomly selected from the external test set for a human-machine comparison to further evaluate the model's performance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY-2022-K109) and Aier eye Hospital of Wuhan University (No.2023IRBKY120903).Written informed consent was obtained from each subject.Results:In the internal test dataset and external test dataset, with manual labeling as the reference standard, the model achieved a mean Dice coefficient of not less than 0.882.At least 95.65% of the anatomical landmark localization results had Euclidean distance differences within 250 μm.The intraclass correlation coefficients (ICCs) for the measurements of PD, ACD, angle-to-angle ATA, and STS were at least 0.958, with mean relative errors not exceeding 2.407%.With the Pentacam measurements as the reference standard, the ICCs for PD in the internal and external test sets were 0.540 and 0.466, respectively, while the ICCs for ACD were 0.946 and 0.908, respectively.In the human-machine comparison, the ICCs between the model's measurements and those of senior experts were all not lower than 0.969.Conclusions:The deep learning-based model can automatically measure anterior segment parameters from preoperative panoramic UBM images of patients undergoing ICL surgery.The model demonstrates a consistency comparable to that of senior experts, while providing higher efficiency.In terms of ACD measurement, the model shows good agreement between the measurements obtained from the model and Pentacam system.

Objective:To develop and evaluate a deep learning-based automatic measurement model for panoramic ultrasound biomicroscopy (UBM) images.Methods:A diagnostic test study was conducted.Preoperative UBM examination results of 372 patients who underwent implantable collamer lens (ICL) implantation were collected at the Eye Center of Renmin Hospital of Wuhan University between February 2021 and March 2023.A total of 1 368 panoramic UBM images were obtained to establish an image database.The dataset was divided into a training set (760 images), a validation set (86 images) and an internal test set (522 images).An expert panel consisting of three ophthalmologists annotated the images.The UNet+ + network was used to automatically segment anterior segment tissues, such as the cornea, lens and iris.In addition, image processing techniques and geometric localization algorithms were developed to automatically identify the anatomical landmarks of pupil diameter (PD), anterior chamber depth (ACD), angle-to-angle distance (ATA) and sulcus-to-sulcus distance (STS) to complete the measurement of these parameters.Additionally, 480 panoramic UBM images of 135 patients (240 eyes) from Aier Eye Hospital of Wuhan University were used as an external test set to further evaluate the performance of the model in different centers.The consistency between the measurements from the model and expert panel, the Pentacam system was assessed.Finally, 150 images were randomly selected from the external test set for a human-machine comparison to further evaluate the model's performance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY-2022-K109) and Aier eye Hospital of Wuhan University (No.2023IRBKY120903).Written informed consent was obtained from each subject.Results:In the internal test dataset and external test dataset, with manual labeling as the reference standard, the model achieved a mean Dice coefficient of not less than 0.882.At least 95.65% of the anatomical landmark localization results had Euclidean distance differences within 250 μm.The intraclass correlation coefficients (ICCs) for the measurements of PD, ACD, angle-to-angle ATA, and STS were at least 0.958, with mean relative errors not exceeding 2.407%.With the Pentacam measurements as the reference standard, the ICCs for PD in the internal and external test sets were 0.540 and 0.466, respectively, while the ICCs for ACD were 0.946 and 0.908, respectively.In the human-machine comparison, the ICCs between the model's measurements and those of senior experts were all not lower than 0.969.Conclusions:The deep learning-based model can automatically measure anterior segment parameters from preoperative panoramic UBM images of patients undergoing ICL surgery.The model demonstrates a consistency comparable to that of senior experts, while providing higher efficiency.In terms of ACD measurement, the model shows good agreement between the measurements obtained from the model and Pentacam system.

Objective:To construct an artificial intelligence (AI)-assisted system based on deep learning for corneal in vivo confocal microscopy (IVCM) image recognition and to evaluate its value in clinical applications. Methods:A diagnostic study was conducted.A total of 18 860 corneal images were collected from 331 subjects who underwent IVCM examination at Renmin Hospital of Wuhan University and Zhongnan Hospital of Wuhan University from May 2021 to September 2022.The collected images were used for model training and testing after being reviewed and classified by corneal experts.The model design included a low-quality image filtering model, a corneal image diagnosis model, and a 4-layer identification model for corneal epithelium, Bowman membrane, stroma, and endothelium, to initially determine normal and abnormal corneal images and corresponding corneal layers.A human-machine competition was conducted with another 360 database-independent IVCM images to compare the accuracy and time spent on image recognition by three senior ophthalmologists and the AI system.In addition, 8 trainees without IVCM training and with less than three years of clinical experience were selected to recognize the same 360 images without and with model assistance to analyze the effectiveness of model assistance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2021-K148).Results:The accuracy of this diagnostic model in screening high-quality images was 0.954.Its overall accuracy in identifying normal/abnormal corneal images was 0.916 and 0.896 in the internal and external test sets, respectively.Its accuracy reached 0.983, 0.925 in the internal test sets and 0.988, 0.929 in the external test sets in identifying corneal layers of normal and abnormal images, respectively.In the human-machine competition, the overall recognition accuracy of the model was 0.878, which was similar to the average accuracy of the three senior physicians and was approximately 300 times faster than the experts in recognition speed.Trainees assisted by the system achieved an accuracy of 0.816±0.043 in identifying corneal layers of normal and abnormal images, which was significantly higher than 0.669±0.061 without model assistance ( t=6.304, P<0.001). Conclusions:A deep learning-based assistant system for corneal IVCM image recognition is successfully constructed.This system can discriminate normal/abnormal corneal images and diagnose the corresponding corneal layer of the images, which can improve the efficiency of clinical diagnosis and assist doctors in training and learning.

Objective:To explore the detection capability of p16/Ki-67 double staining technique in women with various abnormal thinprep cytologic test (TCT) results and its diagnostic value for cervical intraepithelial neoplasia Ⅱ+ grade (CIN2+).Methods:A total of 225 women with abnormal TCT results, i.e. the atypical squamous cells of undetermined significance(ASC-US), in the Tianjin Central Hospital of Gynecology Obstetrics, Nankai University Affiliated Maternity Hospital from December 2018 to December 2019 were enrolled. p16/Ki-67 double staining were detected and compared with the high risk human papillomavirus (HR-HPV) and pathological results.Results:The positive rates of p16/Ki-67 double staining increased with cytologic and pathologic categories. For diagnosis of CIN2+, p16/Ki-67double staining (90.1%) was less sensitive than HR-HPV testing (98.2%)( P<0.05), but the specificity of p16/Ki-67 double staining (58.8%) was significantly higher than HR-HPV(21.6%) ( P<0.001). Conclusions:Compared with HR-HPV, p16/Ki-67 double staining has better effect on diagnosing CIN2+. p16/Ki-67 double staining can be considered as triaging method for management of ASC-US and LSIL patients, significantly reduce the colposcopy referral rate (nearly 50%), which has high clinical application value.

Objective To study the changes of hippocampal caspase-3 and PSD-95 expression levels in the mice exposed to ketamine 30 mg/(kg·d)for three months. Methods Forty C57BL/6 mice were randomly divided into two groups,and the chronic ketamine addiction model was established by giving mice a three month course of daily intraperitoneal injections of ketamine. Immunohistochemical study and Western blot-ting were applied to observe the expression of caspase-3 and PSD-95 protein. Results There were more expression of caspase-3 and less of PSD-95 in ketamine group as detected by immuohistochemistry. Western blotting results showed caspase-3 active fragment level significantly increased com-pared to saline group,but PSD-95 protein level was decreased. Conclusion The increased level of caspase-3 protein and reduced expression of PSD-95 are observed after long-term ketamine administration. These findings may provide an evidence for the neurotoxicity in mouse hippocampus of chronic ketamine addition as a recreational drug.

Objective To investigate clinical and histopathological manifestations of cutaneous plasmacytosis.Methods The clinical and histopathological data were collected from 7 cases of cutaneous plasmacytosis and analyzed retrospectively.Results Of the 7 patients,2 were female,and 5 were male.The average age was 42.4 years,and the duration of disease ranged from 2 to 10 years.All the 7 patients presented with multiple slow progressive brown patches and plaques.No abnormality was observed in routine examinations of blood,urine and faeces,electrocardiogram and abdominal ultrasonography in the 7 patients.Three patients underwent serum IgG detection,and their serum levels of IgG were all higher than reference values.Two patients were subjected to cytological examination of bone marrow,which showed the percentage of plasma cells (mainly mature plasma cells) was up to 5％.Histopathological examination of 7 cases showed pigmentation in the basal layer of the epidermis,and infiltration mainly consisting of lymphocytes and mature plasma cells around the blood vessels in the dermis.Immunohistochemical study revealed that the ratio of κ to λ light chain was approximately 1∶ 1,and the plasma cells were strongly positive for IgG.IgG4 was positive in very few plasma cells in 1 case,and negative in the other 6 cases.Conclusion The etiology of cutaneous plasmacytosis is still unclear,but it has characteristic clinical and histopathological manifestations.

This article proposes a novel occupational practice model implied from the native concept of Taiji Diagram. Four elements of Taiji Diagram, namely Yang-fish, Yin-fish, Yin-fish-eye and Yang-fish-eye, are matched to the elements of occupational practice, namely person, environment, economic condition and mental condition, respectively. The interaction between persons and their environment can be thought as the interaction between Yin and Yang, and the balance would be focused on. Some different ideas may be brought from this model, such as Appropriate Challenge, Appropriate Empowerment.

Objective To investigate the effect of transcranial direct current stimulation (tDCS) on aphasia recovery after stroke. Meth-ods From April, 2012 to January, 2013, 20 aphasic patients after stroke were enrolled in an A-B experiment design. During phase A, ten times of sham tDCS and language training (five days a week) were implemented, then ten times language training combined with tDCS (five days a week) were implemented in phase B. The treatment lasted for four weeks. Picture naming was measured for all patients before and af-ter treatment both in phase A and phase B. Results The D-value scores of picture naming before and after treatment were significantly more in phase B than in phase A in both treatment items and non-treatment items (t>3.030, P<0.05). Conclusion tDCS could raise the accuracy of picture naming in patients with aphasia after stroke.

BACKGROUND:Previous studies have demonstrated that normal rat liver homogenate supernatant can induce human umbilical cord mesenchymal stem cels to differentiate into hepatocyte-like cels with partial hepatocyte functions. However, whether fibrotic liver homogenate supernatant can work or how the inducing effect is remains unclear. OBJECTIVE:To investigate the differentiation potential of human umbilical cord mesenchymal stem cels into hepatocytes under the normal liver and fibrotic liver microenvironment in vitro. METHODS:Liver fibrosis was induced in the SD rats by repeated intraperitoneal injections of 3% thioacetamide at a dose of 200 mg/kg body mass, twice a week for 4 weeks, and then fibrotic liver tissues and normal liver tissues were used to prepare liver homogenate supernatants. Passage 3 human umbilical cord mesenchymal stem cels were used and divided into standard control group (cels were cultured in DMEM/F12 with 10% fetal bovine serum), fibrotic liver homogenate supernatants group (cels were cultured in DMEM/F12 with 10% fetal bovine serum and 50 g/L fibrotic liver homogenate supernatants), normal liver homogenate supernatants group (cels were cultured in DMEM/F12 with 10% fetal bovine serum and 100 g/L normal liver homogenate supernatants). The morphological changes of the cels in each group were recorded under inverted microscope; the protein levels of CK18, AFP, CYP3A4, CYP2E1, CYP2D6 and TPH2 were evaluated using western blot assay. Furthermore, the concentration of albumin in the cels was measured. RESULTS AND CONCLUSION:After a 7-day inducement, the stem cels in liver homogenate supernatants groups lost their fusiform shape and changed into hepatocyte-like cels with the morphous of round shape. Compared with the standard control group, the hepatocyte-like cels in the two liver homogenate supernatants groups exhibited human hepatocyte biomarkers, CK18 and AFP. The standard control group cels could express a little amount of CYP2E1, while cels in the two liver homogenate supernatants groups could express CYP3A4, CYP2E1, CYP2D6, TPH2. Compared with the standard control group, the expression level of CYP2E1 in the two liver homogenate supernatants groups increased significantly (P < 0.01), and however, the relative levels of CYP3A4, CYP2E1, CYP2D6, TPH2 in the two liver homogenate supernatants groups showed no statistical significance (P > 0.05). At the same time, compared with the standard control group, the concentration of albumin in the two liver homogenate supernatants groups markedly increased (P < 0.01), but there was no difference between the two liver homogenate supernatants groups (P > 0.05). Experimental findings demonstrated that both of normal liver tissue and fibrotic liver tissue microenvironments could induce human umbilical cord mesenchymal stem cels to differentiate into hepatocyte-like cels. To achieve the same effect, compared with normal liver tissue, fibrotic liver tissue required lower concentrations, suggesting that fibrotic liver tissue microenvironment may be more conducive to differentiation of umbilical cord mesenchymal stem cels into hepatocytes.