Immediate-implant-immediate-loading restoration exhibits many advantages, such as recovery appearance, early function, short implant period, reduced operation frequency and trauma, and less pain, among others. This report introduced a case of immediate-implant-immediate-loading restoration failure because of implant neck split.
Dental Implantation, Endosseous ; Dental Prosthesis, Implant-Supported ; Dental Restoration Failure ; Humans

BACKGROUND:YY1 is mainly expressed in the undifferentiated epidermic cells in mouse basal lamina, and the expression level is gradual y down-regulated as the differentiation towards suprabasal lamina. The differential expression indicates that, YY1 is one of the regulators in the process of epidermic cells differentiation.
OBJECTIVE:To observe the effects of YY1 over-expression on the differentiation of HaCaT cells infected with lentivirus.
METHODS:Lentivirus-YY1 was transferred into the HaCaT cells by using Lipofectamine 2000. After selection of the puromycin, monoclonal celllines were established, and the control group were lentivirus-infected HaCaT cells and uninfected HaCaT cells. The expression of YY1 was detected by using western blot analysis. cells in Lentivirus-YY1-HaCaT group and HaCaT-YY1 group were further divided into two subgroups according to the calcium concentration in culture medium, cells were either cultured in low-calcium medium (0.12 mmol/L) for 48 hours, or cultured in low-calcium medium (0.12 mmol/L) for 24 hours and in high-calcium medium (0.35 mmol/L) for additional 24 hours. Keratin K1, K10, K14, and involucrin, filaggrin and loricrin after over-expression of YY1 were detected with western blot analysis.
RESULTS AND CONCLUSION:The HaCaT cells were successful y infected with lentivirus-YY1, and we obtained over-expression of YY1 protein in monoclonal celllines under high-calcium concentrations, the over-expressed YY1 could decrease the expression of K1, involucrin and loricrin, thereby preventing the process of epidermal keratinocytes and maintaining the cells in an undifferentiated state. Lentivirus can efficiently infect human immortalized epidermal cellHaCaT, and YY1 may the important factor of inhibiting the differentiation of basal epidermal cells and maintaining the undifferentiated proliferation status.

Objective To study the inhibitory effect on the expression of regulated upon activation,normal T cell expressed and secreted (RANTES) and monocyte ehemotactic activity of ectopic endometrial stromal cells by nuclear factor(NF)-kB decoy oligonucleotides (ODN). Methods The stromal cells of ectopic endometrium were divided into 3 groups. Two groups were cultured with or without 10 μg/L of interleukin (IL)-1β. Another group was transfected with NF-kB decoy ODN with the aid of a lipofectamine reagent. After 4 h of transfection, 10 μg/L of IL-1β was added to induce the stromal cells to secrete RANTES. Concentration of RANTES in the supernatant at 4, 8, 12, 24 and 36 h was measured with the sandwich enzyme linked immunosorbent assay (ELISA). U937 monocyte chemotactic activity was assayed in Boyden chambers. The specific RANTES-neutralizing monoclonal antibodies at serial doses (0. 5, 1, 2, 4and 8 mg/L) were added into IL-1β induced medium of 24 h to detect the monocyte chemotactic activity of RANTES in supernatant. Results The concentration of RANTES secreted by stromal cells was respectively (58 ± 10), ( 150 ± 35 ), ( 360 ± 46 ) and ( 586 ± 42 ) ng/L after IL-1β stimulation for 8,12,24 and 36 h,significantly higher than that of stromal cells cultured without IL-1β. The concentrations of RANTES were respectively (86±16), ( 128±28 ) and ( 183±32) ng/L after IL-1β stimulation for 12, 24 and 36 h in stromal cells transfected with NF-kB decoy ODN, evidently lower than that of stromal cells stimulated with IL-1β alone. The monocyte ehemotactic index of 12, 24, 36 h in conditioned medium of stromal cells transfected with NF-kB decoy ODN was respectively 10. 3 ± 0. 9, 13.7 ± 1.1, 18.6 ± 1.2, which was evidently lower than that of stromal cells stimulated with IL-1β alone. The anti-RANTES antibody at 0. 5, 1,2, 4 and 8 mg/L inhibited respectively 5%, 23%, 40%, 62% and 61% of the chemotactic activity in 12 h medium treated with IL-1β. Conclusions RANTES accounts for the majority of the monocyte chemotactic activity in IL-1β induced medium of 24 h. NF-kB decoy ODN may influence the feed-forward inflammatory loop whereby IL-1β from activated macrophages can lead to RANTES production by ectopic implants and further monocyte chemotaxis.

Liver fibrosis can progress to liver cirrhosis and end-stage liver disease, which may lead to poor prognosis. In addition to pathological angiogenesis and hepatic sinusoid remodeling, hepatic lymphangiogenesis also plays an important role in the progression of liver fibrosis. This article briefly describes lymphatic vessel markers and their expression in the liver, introduces the role of lymphangiogenesis in liver fibrosis, and reviews the role of liver macrophages (Kupffer cells) and lymphatic endothelial cells in lymphangiogenesis. It is pointed out lymphangiogenesis may become a potential target for the intervention of liver fibrosis, which plays an important role in the early treatment and reversal of liver fibrosis and the prevention of liver cirrhosis and end-stage liver disease.

Objective We aimed to analyze the relationship among all types of HPV and cervical cancer and predict potential high-risk HPV based bioinformatics methods.Provide theoretical basis for clinical prevention and early diagnosis for cervical cancer.Methods A total of 131 types HPV gene sequences from GenBank were downloaded.HPV phylogenetic tree were constructed use the MEGA software.Results Current global HPV can be divided into five categories according to complete gene molecular evolution analysis,high-risk types HPV are height together.Further to the mucous membrane affinity types HPV gene analysis shows that the evolution of the E6,E7 gene closer to the distribution of the whole genome evolution tree.We predict the HPV 26,34,53,66,67,97 have potential dangers with cervical cancer.Conclusion Building the HPV data based on the analysis of molecular evolution method of HPV affinity relationship with cervical cancer.Provide theoretical foundations for HPV clinical prevention and treatment of cervical cancer.

OBJECTIVE To identify potential mutations in two Chinese families affected with primary localized cutaneous amyloidosis. METHODS Peripheral blood samples of the family were collected with informed consent. Genomic DNA was extracted with a phenol chloroform method. All of the 17 exons and their flanking splicing sites of the OSMR gene were amplified with PCR and subjected to Sanger sequencing. Suspected mutations were verified with PCR - restriction fragment length polymorphism and high-resolution melting assays. RESULTS A missense mutation (c.1538G>A) was found in exon 10 of the OSMR gene in all of the six patients from family 1. A missense mutation (c.2081C>T) was found in exon 14 of the OSMR gene in all of the four patients from family 2. The same mutations were not found among the healthy controls. CONCLUSION Two missense mutations (c.1538G>A and c.2081C>T) were detected in the OSMR gene in two Chinese families affected with primary localized cutaneous amyloidosis. Our findings have further confirmed the pathogenicity of such mutations.

OBJECTIVE: To identify the causative variants in 13 Chinese pedigrees affected with oculocutaneous albinism (OCA) so as to provide genetic counseling and prenatal diagnosis to them. METHODS: Thirteen unrelated pedigrees with clinically diagnosed OCA were collected and classified based on the manifestation of skin and eyes. With informed consent obtained from the participants, peripheral blood samples were collected from the probands and their family members for the extraction of genomic DNA. Candidate variants were screened by targeted capture and next generation sequencing, and the results were validated by Sanger sequencing. Prenatal diagnosis was provided to the families upon their subsequent pregnancies. RESULTS: Causative variants were detected in all probands, including 10 with compound heterozygotes or homozygotes for TYR gene variants and 3 with compound heterozygotes for OCA2 gene variants. Among these, two variants [TYR: c.650G>C (p.Arg217Pro) and OCA2: c.516-2A>T] were unreported previously. The pathogenicity of the novel TYR: c.650G>C (p.Arg217Pro) variant was verified through bioinformatic analysis and prediction of three dimensional structure of the protein. Prenatal diagnosis was provided to 6 fetuses with a high risk for OCA. Four fetuses were found to be carriers, one did not carry the variants of the proband, and one was affected with OCA. CONCLUSION Identification of the pathogenic variants in the 13 probands, including 2 novel ones, has expanded the mutational spectrum of OCA and enabled genetic counseling and prenatal diagnosis for the families.
Albinism, Oculocutaneous/genetics* ; China ; Female ; Genetic Testing ; Humans ; Membrane Transport Proteins/genetics* ; Monophenol Monooxygenase/genetics* ; Mutation ; Pedigree ; Pregnancy ; Prenatal Diagnosis

Objective:To construct a machine-learning model for predicting the progression of pancreatic cystic lesions (PCLs) based on clinical and CT features, and to evaluate its predictive performance in internal/external testing cohorts.Methods:Baseline clinical and radiological data of 200 PCLs in 177 patients undergoing abdominal thin slice enhanced CT examination at Peking Union Medical College Hospital from July 2014 to December 2022 were retrospectively collected. PCLs were divided into progressive and non-progressive groups according to whether the signs indicated for surgery by the guidelines of the European study group on PCLs were present during three-year follow-up. 200 PCLs were randomly divided into training (150 PCLs) and internal testing cohorts (50 PCLs) at the ratio of 1∶3. 15 PCLs in 14 patients at Jinling Affiliated Hospital of Medical School of Nanjing University from October 2011 to May 2020 were enrolled as external testing cohort. The clinical and CT radiological features were recorded. Multiple feature selection methods and machine-learning models were implemented and combined to identify the optimal machine-learning model based on the 10-fold cross-validation method. Receiver operating characteristics (ROC) curve was drawn and area under curve (AUC) was calculated. The model with the highest AUC was determined as the optimal model. The optimal model's predictive performance was evaluated on testing cohort by calculating AUC, sensitivity, specificity and accuracy. Permutation importance was used to assess the importance of optimal model features. Calibration curves of the optimal model were established to evaluate the model's clinical applicability by Hosmer-Lemeshow test.Results:In training and internal testing cohorts, the progressive and non-progressive groups were significantly different on history of pancreatitis, lesions size, main pancreatic duct diameter and dilation, thick cyst wall, presence of septation and thick septation (all P value <0.05) In internal testing cohort, the two groups were significantly different on gender, lesion calcification and pancreatic atrophy (all P value <0.05). In external testing cohort, the two groups were significantly different on lesions size and pancreatic duct dilation (both P<0.05). The support vector machine (SVM) model based on five features selected by F test (lesion size, thick cyst wall, history of pancreatitis, main pancreatic duct diameter and dilation) achieved the highest AUC of 0.899 during cross-validation. SVM model for predicting the progression of PCLs demonstrated an AUC of 0.909, sensitivity of 82.4%, specificity of 72.7%, and accuracy of 76.0% in the internal testing cohort, and 0.944, 100%, 77.8%, and 86.7% in the external testing cohort. Calibration curved showed that the predicted probability by the model was comparable to the real progression of PCLs. Hosmer-Lemeshow goodness-of-fit test affirmed the model's consistency with actual PCLs progression in testing cohorts. Conclusions:The SVM model based on clinical and CT features can help doctors predict the PCLs progression within three-year follow-up, thus achieving efficient patient management and rational allocation of medical resource.

Immediate-implant-immediate-loading restoration exhibits many advantages, such as recovery appearance, early function, short implant period, reduced operation frequency and trauma, and less pain, among others. This report introduced a case of immediate-implant-immediate-loading restoration failure because of implant neck split.

Objective: To evaluate the effectiveness of deep learning model trained on routine CT scans when identity the malignant and benign lung nodule on target CT scans dataset. Methods: This retrospective study enrolled 923 patients with lung nodules found by chest CT scan in Shanghai Chest Hospital from January 2016 to December 2018. A total of 969 nodules with pathological report were analyzed. The deep learning based pulmonary malignant prediction method in a fine-grained classification manner was used to make the prediction, and the AUC (the area under the curve), accuracy, sensitivity and specificity of routine CT scans and target CT scans were compared, and Delong test and IDI (Integrated Discrimination Improvement) were employed to provide statistical results. Furthermore, statistical methods were used to investigate the differences between the benign and malignant classification of nodules on routine CT and on target CT. Results: In the benign and malignant discrimination task, AUC, accuracy, sensitivity and specificity on the routine scans were 0.81, 82.0%, 86.0% and 56.6% respectively, while the AUC, accuracy, sensitivity and specificity on the target scans were 0.84, 85.0%, 88.8% and 60.5% respectively. The IDI was 0.056 (Z test, P<0.05), and there was statistically significant difference in ROC (Delong test, P=0.01). Conclusions The deep learning model trained on the data set of routine CT scans can achieve better diagnostic efficiency in target CT scans data.