To observe the influence of the placental apoptosis on the expression of Bax,Bcl-2, Fas, FasLand TNF-α during the second trimester of pregnancy, mice of experimental group were intraperitoneal injected with 100 purified Toxoplasma gondii tachyzoites added in 0.2mL of PBS, while those of the control group were injected with 0.2 mL of sterile PBS (0.01 mol/L, pH 7.4) in the 8-th day of pregnancy. During the 12, 14, 16 and 18-th days of pregnancy, 5 mice both in experimental and control group were randomly killed and the expression levels of the apoptosis-related proteins Bax, Bcl-2, Fas, FasL and TNF-α in the placental tissues were determined by means of immunohistochemical methods. It was showed that the apoptosis-related protein expressed both in villus and decidua of the placenta, most of which were expressed in syneytiotrophoblast (ST). The positive cells with expression of Bax, Fas, FasL and TNF-α increased along with the increase of the pregnant days in both the experimental group and the control group, and the positive cells with expression of Bcl-2 decreased along with the increase of the pregnant days. It was also demonstrated that the positive cells with expression of Bax, Fas, FasL and TNF-α of the experimental group showed a higher percentage of expression than that of the control group on the same pregnant days, but the positive cells with Bcl-2 expression of the experimental group were fewer than that of the control group. It is concluded that the expression of apoptosis-related protein Bax, Bcl-2, Fas, FasL and TNF-α in the placenta were altered when the pregnant mice were infected with Toxoplasma gondii during the second trimester, which may induce the apoptosis through the endogenic and ectogenic pathway.

Background: and Purpose CGG repeat expansion in the 5' untranslated region (5'UTR) of the Notch 2 N-terminal-like C gene (NOTCH2NLC) has been associated with neuronal intranuclear inclusion disease (NIID) and oculopharyngodistal myopathy type 3 (OPDM3). Few OPDM3 patients have been reported. This report describes two OPDM3 patients with novel imaging findings who presented the typical features of NIID, and reviews all OPDM3 cases available in the literature. Methods: The available clinical, imaging, and pathological information was reviewed and investigated. CGG repeat expansion in the 5'UTR of NOTCH2NLC was tested using the repeatprimed polymerase chain reaction (PCR), followed by the fluorescence amplicon-length PCR to determine the number of CGG repeats. Results: Our two OPDM3 patients and most patients reported in the literature developed the typical clinical characteristics of NIID, including leukoencephalopathy, peripheral neuropathy, cognitive deterioration, pigmentary retinopathy, ataxia, tremor, acute encephalitis-like episodes, pigmentary retinopathy, miosis, and sensorineural hearing loss. In addition to typical imaging findings of NIID, our two patients exhibited diffusion weighted imaging (DWI) hyperintensities in the middle cerebellar peduncles, which have not been described previously. Muscle biopsies revealed rimmed vacuoles and p62-positive intranuclear inclusions in the myofibers in both patients. The skin biopsy performed in one patient detected typical eosinophilic intranuclear inclusions. Genetic analysis identified CGG repeat expansion in NOTCH2NLC as the causative mutation in the two patients. Conclusions Our two patients with OPDM3 had clinical characteristics of NIID and exhibited DWI abnormality in the cerebellum. Our results indicate that OPDM3 is within the spectrum of NIID and that DWI hyperintensities in the cerebellum are helpful for diagnosing NIID or OPDM3.

Background: and Purpose CGG repeat expansion in the 5' untranslated region (5'UTR) of the Notch 2 N-terminal-like C gene (NOTCH2NLC) has been associated with neuronal intranuclear inclusion disease (NIID) and oculopharyngodistal myopathy type 3 (OPDM3). Few OPDM3 patients have been reported. This report describes two OPDM3 patients with novel imaging findings who presented the typical features of NIID, and reviews all OPDM3 cases available in the literature. Methods: The available clinical, imaging, and pathological information was reviewed and investigated. CGG repeat expansion in the 5'UTR of NOTCH2NLC was tested using the repeatprimed polymerase chain reaction (PCR), followed by the fluorescence amplicon-length PCR to determine the number of CGG repeats. Results: Our two OPDM3 patients and most patients reported in the literature developed the typical clinical characteristics of NIID, including leukoencephalopathy, peripheral neuropathy, cognitive deterioration, pigmentary retinopathy, ataxia, tremor, acute encephalitis-like episodes, pigmentary retinopathy, miosis, and sensorineural hearing loss. In addition to typical imaging findings of NIID, our two patients exhibited diffusion weighted imaging (DWI) hyperintensities in the middle cerebellar peduncles, which have not been described previously. Muscle biopsies revealed rimmed vacuoles and p62-positive intranuclear inclusions in the myofibers in both patients. The skin biopsy performed in one patient detected typical eosinophilic intranuclear inclusions. Genetic analysis identified CGG repeat expansion in NOTCH2NLC as the causative mutation in the two patients. Conclusions Our two patients with OPDM3 had clinical characteristics of NIID and exhibited DWI abnormality in the cerebellum. Our results indicate that OPDM3 is within the spectrum of NIID and that DWI hyperintensities in the cerebellum are helpful for diagnosing NIID or OPDM3.

Background: and Purpose CGG repeat expansion in the 5' untranslated region (5'UTR) of the Notch 2 N-terminal-like C gene (NOTCH2NLC) has been associated with neuronal intranuclear inclusion disease (NIID) and oculopharyngodistal myopathy type 3 (OPDM3). Few OPDM3 patients have been reported. This report describes two OPDM3 patients with novel imaging findings who presented the typical features of NIID, and reviews all OPDM3 cases available in the literature. Methods: The available clinical, imaging, and pathological information was reviewed and investigated. CGG repeat expansion in the 5'UTR of NOTCH2NLC was tested using the repeatprimed polymerase chain reaction (PCR), followed by the fluorescence amplicon-length PCR to determine the number of CGG repeats. Results: Our two OPDM3 patients and most patients reported in the literature developed the typical clinical characteristics of NIID, including leukoencephalopathy, peripheral neuropathy, cognitive deterioration, pigmentary retinopathy, ataxia, tremor, acute encephalitis-like episodes, pigmentary retinopathy, miosis, and sensorineural hearing loss. In addition to typical imaging findings of NIID, our two patients exhibited diffusion weighted imaging (DWI) hyperintensities in the middle cerebellar peduncles, which have not been described previously. Muscle biopsies revealed rimmed vacuoles and p62-positive intranuclear inclusions in the myofibers in both patients. The skin biopsy performed in one patient detected typical eosinophilic intranuclear inclusions. Genetic analysis identified CGG repeat expansion in NOTCH2NLC as the causative mutation in the two patients. Conclusions Our two patients with OPDM3 had clinical characteristics of NIID and exhibited DWI abnormality in the cerebellum. Our results indicate that OPDM3 is within the spectrum of NIID and that DWI hyperintensities in the cerebellum are helpful for diagnosing NIID or OPDM3.

With the arrival of the era of big data, increasing attention has been drawn to the application of artificial intelligence (AI) in the medical field. AI has many advantages, such as objectivity, accuracy, minimal invasiveness, time savings and high efficiency. Therefore, the combination of AI with dental diagnosis and treatment can help dentists improve work efficiency and save medical resources, offering potential significant benefits for dental application. At present, AI has been gradually integrated into prosthodontics, oral and maxillofacial surgery, orthodontics, endodontics and periodontics. The AI system can realize automatic tooth preparation, automatic tooth arrangement and implantology. Deep learning can be used to assist in diagnosing maxillary sinus inflammation, predicting the complications of tooth extraction and improving the accuracy of osteotomy. The AI system can also provide significant clues for the diagnosis, treatment and prognosis of oral and maxillofacial tumors. The breakthrough brought by AI in cephalometric and the assessment of facial attractiveness of patients has promoted the development of intelligent and personalized orthodontic treatment. Deep learning and analysis of medical images also promote the accuracy of root canal therapy as well as the diagnosis and treatment of periodontal diseases. AI technology has realized the leap from digitalization to automation and intelligence in oral diagnosis and treatment, and its application potential in the oral field should not be underestimated. Based on the concepts of AI, this paper will focus on the application of artificial intelligence in various oral clinical fields and briefly introduce its advantages, problems and future.