Intravenous leiomyomatosis (IVL) is a rare benign neoplasm which originates from the smooth muscle cells and is usually confined to the pelvic venous system. Rarely, intracaval and intracardiac extension has been described. Death can occur as a result of intracardiac involvement. We reported 4 cases of IVL with right heart involvement (intracardiac leiomyomatosis, ICL). Three of them suffered recurrent sudden syncope, and the other one was totally asymptomatic. All of them were successfully treated through one-stage operation under extracorporeal circulation.

Objective: To investigate the protective effect of moxibustion in initiating the endogenous protection information on gastric mucosa, and its relationship with the pathway of common peroneal nerve.Methods: Forty-eight Sprague-Dawley (SD) rats were randomly divided into a normal group (group A), a model group (group B), a moxibustion model group (group C) and a moxibustion model plus surgery group (group D), 12 in each group. Except for group A, rats in the other groups were treated with dehydrated ethanol and aspirin to prepare gastric mucosal damage model. The rats in group B were not treated with any interventions; rats in group C received moxibustion at Zusanli (ST 36), twice a day for continuous 3 d. The rats in group D were subjected to preparing the gastric mucosal damage model after the common peroneal nerve transection, followed by moxibustion at Zusanli (ST 36). After a 3-day intervention, ulcer index (UI) in each group was observed, and the levels of gastric mucosa-related repair cytokines of tumor necrosis factor-α (TNF-α), interleukin-4 (IL-4) and heat shock protein 70 (HSP70) were detected.Results: Compared with group A, the pathological changes and UI of group B were worse (P=0.000), but TNF-α in serum and tissue was changed significantly (P=0.000,P=0.002), IL-4 in serum and tissue was improved significantly (P=0.000, P=0.000). Compared with group B, TNF-α and IL-4 in group C and group D were significantly improved (TNF-α:P=0.003, P=0.016; IL-4:P=0.000,P=0.002). Compared with group C, the changes of UI in group B and group D were poor (both P=0.000); the levels of TNF-α and IL-4 in serum were significantly decreased (TNF-α:P=0.000,P=0.025; IL-4:P=0.000, P=0.034); and tissue HSP70 levels were decreased significantly (P=0.000,P=0.033).Conclusion: Zusanli (ST 36) can transmit information through the pathway of common peroneal nerve, regulate the release of gastric mucosal protective factors, and up-regulate the expression of cytothesis-related proteins, so as to achieve the effect in repairing gastric mucosa.

Objective To evaluate the diagnostic value of rectal endoscopic ultrasonography for recto-vaginal endometriosis (RVEM).Methods The clinical data of 36 patients who met the criteria for RVEM between September 2009 and September 2016 in Shengjing Hospital were analyzed.Rectal endoscopic ultrasonography was compared with colonoscopy and pelvic magnetic resonance imaging (MRI) in terms of preoperative diagnosis and their conformance with surgical and postoperative pathological findings.Results Rectal endoscopic ultrasonography was superior to colonoscopy and pelvic MRI in diagnosing RVEM,invasive bowel disease,and the invasive level in the preoperative assessment (P ＜ 0.05),and in its conformance with surgical and postoperative pathological findings.Conclusion Rectal endoscopic ulwasonography is a reliable technique for diagnosing RVEM,with good accuracy in the preoperative diagnosis of invasive bowel disease and its level of invasiveness.

OBJECTIVETo detect the distribution of fimA genotype of P. gingivalis in periodontally healthy adults and chronic periodontitis patients, and to investigate the relationship between the prevalence of fimA genotype of P. gingivalis and periodontal health status.

METHODSSubgingival plaque samples were collected from 136 periodontally healthy adults and 115 chronic periodontitis patients. The occurrence of P. gingivalis was determined by P. gingivalis 16S rRNA PCR. Distribution of fimA genotype was assessed in P. gingivalis positive samples by PCR using primers pairs homologous to the different fimA genes.

RESULTSP. gingivalis was detected in 22.1% of the healthy subjects and 81.7% of chronic periodontitis patients. A single fimA genotype was detected in most subgingival plaque samples. In P. gingivalis-positive healthy adults, the most prevalent fimA genotype of P. gingivalis was type I fimA. In contrast, a majority of chronic periodontitis patients carried type II fimA, followed by IV fimA and I b fimA. The univariate analysis illustrated that chronic periodontitis was associated with occurrences of type I fimA (OR = 0.97), I b (OR =13.26), II (OR = 36.62), III (OR = 4.57), IV (OR = 22.86), and V (OR = 1.19).

CONCLUSIONII fimA genotype of P. gingivalis followed by IV and I b were an important virulence factor that may account for the pathogenesis of chronic periodontitis, suggesting an increased pathogenic potential of these types.

Adult ; Chronic Periodontitis ; Dental Plaque ; Female ; Fimbriae Proteins ; Genotype ; Health Status ; Humans ; Male ; Periodontitis ; Polymerase Chain Reaction ; Porphyromonas gingivalis ; Prevalence ; RNA, Ribosomal, 16S

OBJECTIVETo investigate the prevalence of H. actinomycetemcomitans in Chinese chronic periodontitis (CP) patients and periodontally healthy adults.

METHODS116 chronic periodontitis patients and 111 periodontally healthy adults were included. In each CP patient, subgingival plaque samples were collected from two sites of different molars with the greatest probing depth (PD) and one periodontally healthy site (PD < or =3 mm). The samples of periodontally healthy adults were obtained from the mesio-buccal site of one first upper molar. Bacteria DNA were extracted for detection of H. actinomycetemcomitans by 16S rRNA PCR.

RESULTSThe prevalence for H. actinomycetemcomitans of diseased sites (33.62%) was significantly higher than that of healthy sites from CP patients (0.86%) and the periodontally sites (0.90%) (P < 0.01). No significant difference was observed between male and female CP patients (P > 0.05). A decreasing trend of H. actinomycetemcomitans was observed as the age increased. And the pocket depth and clinical attachment losswas associated with the occurrence of H. actinomycetemcomitans in a positive mode. And H. actinomycetemcomitans was more often detected in the bleeding sites on probing.

CONCLUSIONH. actinomycetemcomitans was more frequently detected in periodontitis sites than periodontally healthy sites. For CP patients, a higher prevalence was associated with the seriously involved sites than those moderate and mild implicated sites. H. actinomycetemcomitans is considered to be the one of the periopathogens involved in the etiology of chronic periodontitis.

Adult ; Aggregatibacter actinomycetemcomitans ; Chronic Periodontitis ; DNA, Bacterial ; Dental Plaque ; Female ; Healthy Volunteers ; Humans ; Male ; Periodontitis ; Polymerase Chain Reaction ; RNA, Ribosomal, 16S

OBJECTIVE: To explore the genetic basis for a patient diagnosed with tuberous sclerosis complex (TSC). METHODS: Peripheral blood samples of the patient and his parents were collected for the extraction of genomic DNA. Next generation sequencing (NGS) was carried out to detect potential variant, and the result was verified by Sanger sequencing. RESULTS: The patient was found to harbor a heterozygous c.1053delG (p.Glu352SerfsX10) frameshifting variant of the TSC2 gene. The same variant was not found in his unaffected parents and 100 unrelated healthy controls. Based on the American College of Medical Genetics and Genomics guidelines, the variant was predicted to be pathogenic (PVS1+PS2+PM2). CONCLUSION The novel c.1053delG (p.Glu352SerfsX10) frameshifting variant of the TSC2 gene probably underlay the TSC in this patient.
Genomics ; Heterozygote ; Humans ; Mutation ; Tuberous Sclerosis/genetics* ; Tuberous Sclerosis Complex 2 Protein/genetics*

Intravenous leiomyomatosis (IVL) is a rare benign neoplasm which originates from the smooth muscle cells and is usually confined to the pelvic venous system.Rarely,intracaval and intracardiac extension has been described.Death can occur as a result of intracardiac involvement.We reported 4 cases of IVL with right heart inyolvement (intracardiac leiomyomatosis,ICL).Three of them suffered recurrent sudden syncope,and the other one was totally asymptomatic.All of them were successfully treated through one-stage operation under extracorporeal circulation.

Objective To investigate the mechanism of matrix metalloproteinases(MMP)regulations of human gingival fibroblasts(HGF)by challenge of Porphyromonas gingivcdis(Pg)with different fimA genotypes.Methods Pg ATCC 33277(type Ⅰ),WCSP115(type Ⅱ),WCSP1.5(type Ⅲ),W83(type Ⅳ)were assessed for their inductions of MMP-1 and MMP-2 expression in HGF.MMP mRNA levels of HGF were determined by real-time RT-PCR and MMP protein levels in culture supematant were determined by ELISA at different time intervals(1,3,6 and 12 h)following continous co-culture of bacteria with HGF.Results When co-cultured with Pg,the MMP-1 and MMP-2 mRNA and protein expression of HGF significantly increased compared with the negative control group(P<0.01).The group of type Ⅱ showed greater up-regulated than other fimA genotypes in the mRNA and protein expressions of MMP-1 and MMP-2,MMP-1 mRNA[(28.88±3.12)-(231.01±24.99)]and protein[(1.35±0.17)-(3.08±1.20)]μg/L;MMP-2 mRNA[(20.42±2.21)-(188.34±37.37)]and protein[(2.57±0.76)-(18.08±1.15)]μg/L for different time periods;While the group of type Ⅲ was weaker than other fimA genotypes,the level of MMP-1 mRNA was[(5.11±0.55)-(72.84±8.84)]and protein[(0.68±0.13)-(1.46±0.94)]μg/L,MMP-2 mRNA[(4.55±0.55)-(25.75±3.12)]and protein [(2.28±0.93)-(11.22±2.46)]μg/L(P<0.05).Conclusions Pg could induce HGF to over-express MMP,and fimA genotypes of Pg may be related to this pathogenicity,which might indicate fimA genotype is associated with pathogenesis of Pg.

OBJECTIVE: To study the association between S100A8 expression and prognosis in children with acute lymphoblastic leukemia (ALL). METHODS: The clinical data of 377 children with ALL who were treated with the CCLG-2008-ALL regimen were retrospectively reviewed. ELISA and PCR were used to measure serum protein levels and mRNA expression of S100A8. The Kaplan-Meier method was used for survival analysis and a Cox regression analysis was also performed. RESULTS: The children were followed up for 56 months, and the overall survival rate of the 377 children was 89.1%. The prednisone good response group had significantly lower S100A8 protein and mRNA levels than the prednisone poor response group (P<0.01). In the children with standard or median risk, both S100A8 protein and mRNA levels were associated with event-free survival rate (P<0.05). There were significant differences in S100A8 protein and mRNA levels between the children with different risk stratifications (P<0.01). The children who experienced events had significantly higher S100A8 protein and mRNA levels than those who did not (P<0.01). The Kaplan-Meier survival analysis and the Cox regression model suggested that S100A8 overexpression was an independent risk factor for the prognosis of children with ALL. CONCLUSIONS High S100A8 expression may be associated with the poor prognosis of children with ALL and is promising as a new marker for individualized precise treatment of children with ALL.
Calgranulin A ; metabolism ; Child ; Disease-Free Survival ; Humans ; Precursor Cell Lymphoblastic Leukemia-Lymphoma ; Prognosis ; Retrospective Studies

Background and purpose:Breast cancer is a major global public health problem.Bone is the most common site of distant metastasis of breast cancer,accounting for about 70%of all metastatic cases.Bone metastasis of breast cancer can cause a series of complications,including severe pain,pathological fracture,hypercalcemia,spinal cord compression,etc.,which bring great inconvenience to patients'physical activities and affect their quality of life.Metastatic recurrence is the leading cause of death in breast cancer patients.Therefore,there is an urgent need to build a diagnostic model of bone metastasis in breast cancer to identify patients with a high risk of bone metastasis.The aim of this study was to develop a predictive model based on machine learning to predict the probability of breast cancer developing bone metastasis.Methods:Data of breast cancer patients diagnosed between 2010 and 2015 were extracted from The Surveillance,Epidemiology,and End Results(SEER)database.The variables were screened by least absolute shrinkage and selection operator(LASSO)regression,univariate and multivariate logistic regression analysis,and statistically significant risk factors were included to build a prediction model.In this study,nine machine learning algorithms,including decision tree,elastic network,K-nearest neighbor,lightweight gradient elevator,logistic regression,neural network,random forest,support vector machine and limit gradient lifting,were used to adjust the model hyperparameters through random search and 5x cross-validation to build a breast cancer bone metastasis prediction model.The area under the receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the model,the optimal model was obtained,and the importance of variables was analyzed based on the optimal model.Finally,a network calculator for predicting the risk of bone metastasis of breast cancer was established using the optimal model.Results:The study included 10 106 patients with breast cancer,7 073 patients in the training set,and 3 033 patients in the validation set.We found that 4 494(63.5%)patients in the training set and 1 927(63.5%)patients in the validation set developed bone metastases,respectively.Race,pathologic grade,estrogen receptor(ER)status,progesterone receptor(PR)status,human epidermal growth factor receptor 2(HER2)status,N stage,lung metastasis,radiotherapy,chemotherapy and surgery were independent predictors of bone metastasis.The training set and verification set were used to verify the model,and the limit gradient lifting algorithm was superior to other machine learning algorithms by integrating the evaluation indexes such as the area under the ROC curve,calibration curve and decision curve.Finally,we used limit gradient algorithm to build network calculator for prediction of breast cancer bone metastases(https://bcbm.shinyapps.io/DynNomapp/).Conclusion:This study developed a predictive model based on machine learning to predict the probability of bone metastases in breast cancer patients,hoping to help clinicians make more rational treatment decisions.