Objective To study the clinical significance of gasdermin-D（GSDMD) and caspase-1 expressions in the invasive ductal breast carcinoma. Methods Seventy-seven female patients with invasive ductal carcinoma of breast performed radical resection in the 904th Hospital of Joint Logistic Support Force of PLA from January 2015 to June 2016 were selected as the research object. The expressions of GSDMD and caspase-1 protein in cancer tissues and 20 adjacent tissues were detected by immunohistochemistry, and their correlation with clinicopathological features was analyzed. Kaplan-Meier analysis was used to draw the survival curve, and log-rank test was used for univariate survival analysis, and Cox proportional hazards regression analysis of prognostic factors in patients with breast invasive ductal carcinoma. Results The proportion of high expression of GSDMD and caspase-1 protein in adjacent tissues were significantly higher than those in breast cancer tissues (P<0.05). Univariate analysis results showed that the survival time of patients with invasive ductal carcinoma of breast were correlated with lymphatic metastasis, TNM staging, and the expression status of progesterone receptor, GSDMD, caspase-1 and Ki-67 (P<0.05). Multivariate analysis results showed that the low expression of GSDMD protein [HR=4.096, 95%CI (1.102, 15.216), P<0.05] and low expression of caspase-1 protein [HR=3.945, 95%CI (1.062, 14.652), P<0.05] were the independent risk factor that affect the survival rate of patients with invasive ductal carcinoma of breast. Conclusion The low expression of GSDMD and caspase-1 protein in invasive ductal carcinoma of breast are independent risk factors for postoperative survival.
Objectives To systemically review and investigate the efficacy of intensive glucose control in Type 2 diabetes mellitus. Methods Database searches of MEDLINE, EMBASE, Cochrane Controlled Trials Register, VIP Database, CNKI, and CBM disc (from the date of establishment of the databases to June 2009) were conducted. Additional studies were retrieved via references of articles and direct contact with the authors to retrieve relevant data. Prospective, randomized controlled trials of intensive glucose control compared with standard therapy in diabetic patients were selected. We accessed the quality of included trials and extracted the relevant data. Statistical analysis was performed using The Cochrane Collaboration’s software RevMan 5.0. Results Eight trials with a total of 37 004 participants were included. The Meta-analysis showed: intensive glucose therapy was associated with a significant 9% reduction in the odds of cardiovascular events [OR=0.91, 95%CI (0.85, 0.98), P=0.007], and a 26% reduction in the microvascular events [OR=0.74, 95%CI (0.60, 0.91), P=0.005]. For the peripheral vascular events, no statistical difference was found between intensive therapy and standard therapy [OR=0.94, 95%CI (0.83, 1.07), P=0.35]. No statistical difference could be found in total mortality [OR=1.00, 95%CI (0.92, 1.08), P=0.98] and cardiovascular mortality [OR=1.03, 95%CI (0.83, 1.28), P=0.77]. Intensive therapy could increase more than 1.1-fold odds of hypoglycemia compared with standard-therapy [OR=2.12, 95%CI (1.24, 3.60), P=0.006]. Conclusions Findings from this meta-analysis suggest that intensive glucose control significantly reduces the risk of cardiovascular events and microvascular events, and increases the risk of hypoglycemia, while no prominent difference is found in mortality.
Existing arrhythmia classification methods usually use manual selection of electrocardiogram (ECG) signal features, so that the feature selection is subjective, and the feature extraction is complex, leaving the classification accuracy usually affected. Based on this situation, a new method of arrhythmia automatic classification based on discriminative deep belief networks (DDBNs) is proposed. The morphological features of heart beat signals are automatically extracted from the constructed generative restricted Boltzmann machine (GRBM), then the discriminative restricted Boltzmann machine (DRBM) with feature learning and classification ability is introduced, and arrhythmia classification is performed according to the extracted morphological features and RR interval features. In order to further improve the classification performance of DDBNs, DDBNs are converted to deep neural network (DNN) using the Softmax regression layer for supervised classification in this paper, and the network is fine-tuned by backpropagation. Finally, the Massachusetts Institute of Technology and Beth Israel Hospital Arrhythmia Database (MIT-BIH AR) is used for experimental verification. For training sets and test sets with consistent data sources, the overall classification accuracy of the method is up to 99.84% ± 0.04%. For training sets and test sets with inconsistent data sources, a small number of training sets are extended by the active learning (AL) method, and the overall classification accuracy of the method is up to 99.31% ± 0.23%. The experimental results show the effectiveness of the method in arrhythmia automatic feature extraction and classification. It provides a new solution for the automatic extraction of ECG signal features and classification for deep learning.
Abstract： Objective To investigate the cerebral protective effects of hyperoxia management during deep hypothermia circulatory arrest（DHCA） rabbit by the blood gas indexes, superoxide dismutase（ SOD） activity and malondialdehyde （MDA） levels of brain, and ratio of water to brain. Methods A DHCA and antegrade selective cerebral perfusion （ASCP） rabbit model was established. Twenty-four 11-13 week-old male New Zealand rabbits（ weighing 2.7 to 3.4 kg） were assigned to three groups with a random number table: a sham operation group （Sham group）, an ASCP group （S group）, and an ASCP ＋ hyperoxia management group （SH group）. There were eight rabbits in each group. We recorded the intraoperative values for arterial oxygen pressure （PaO2）, arterial oxygen saturation （SaO2）, jugular venous oxygen pressure（PjvO2）, jugular venous oxygen saturation（ SjvO2） and blood lactate level. The brain SOD activity, MDA levels, and ratio of water to brain were measured after the operation. Results Before initiating circulatory arrest, before initiating reperfusion and five minutes of reperfusion, levels of PaO2 , PjvO2 , and SjvO2 in the SH group were significantly higher than those of the S group and Sham group. SOD activity in the SH group was not significantly different from that of the S group[（213.53±33.52） U/mg. prot vs. （193.02±27.67） U/mg. prot] and Sham group[（213.53±33.52） U/mg. prot vs.（244.38±35.02）U/mg. prot], but the SOD activity in the S group was lower than that in the Sham group（ P ＜ 0.05）. MDA levels in the SH group were lower than that in the S group[（1.42±0.30） nmol/mg. prot vs. （2.37±0.55） nmol/mg. prot, P ＜ 0.05]. Conclusion Our data show that hyperoxia management during DHCA＋ASCP improves rabbits’PjvO2 and SjvO2, maintains brain SOD activity, and decreases brain MDA levels, demonstrating the neuroprotective effects of hyperoxia mangagement.
In order to improve the motion fluency and coordination of lower extremity exoskeleton robots and wearers, a pace recognition method of exoskeleton wearer is proposed base on inertial sensors. Firstly, the triaxial acceleration and triaxial angular velocity signals at the thigh and calf were collected by inertial sensors. Then the signal segment of 0.5 seconds before the current time was extracted by the time window method. And the Fourier transform coefficients in the frequency domain signal were used as eigenvalues. Then the support vector machine (SVM) and hidden Markov model (HMM) were combined as a classification model, which was trained and tested for pace recognition. Finally, the pace change rule and the human-machine interaction force were combined in this model and the current pace was predicted by the model. The experimental results showed that the pace intention of the lower extremity exoskeleton wearer could be effectively identified by the method proposed in this article. And the recognition rate of the seven pace patterns could reach 92.14%. It provides a new way for the smooth control of the exoskeleton.
OBJECTIVE: To investigate the selection and manufacture of ideal extracellular matrix materials in bone tissue engineering. METHODS: The recent literatures about biodegradable polymers served as culture scaffolds of osteoblasts were widely reviewed, the advantages and disadvantages of biodegradable synthetic polymers and natural polymers were analysed. RESULTS: The ideal extracellular matrix material in bone tissue engineering should be made up of inorganic materials, synthetic polymers and natural polymers, which possesses morphological structure of three-dimensional foam with self-mediated drug slow delivery system of bone growth factors. CONCLUSION: The design and manufacture of combined extracellular matrix materials in bone tissue engineering is a very important and urgent challenge.
Objective To systemically review the effectiveness and safety of human recombinant activated protein C (rhAPC) for severe sepsis. Methods Such databases as MEDLINE, EMbase, The Cochrane Library, VIP, CNKI and CBM were electronically searched for comprehensively collecting randomized controlled trials (RCTs) on the effectiveness and safety of human recombinant activated protein C (rhAPC) for severe sepsis from inception to July 2012. References of included studies were also retrieved. Two reviewers independently screened literature according to the inclusion and exclusion criteria, extracted data, and assessed the methodological quality of included studies. Then, meta-analysis was performed using RevMan 5.0 software. Results Totally, five RCTs involving 6 307 patients were included. The results of meta-analysis showed that, no significant difference was found in 28-day mortality (RR=1.00, 95%CI 0.84 to 1.19, P=1.00) and 90-day mortality (RR=1.00, 95%CI 0.87 to 1.14, P=0.96) between the rhAPC group and the placebo group. The results of subgroup analysis showed that, the two groups were similar in the 28-day mortality of patients with different Acute Physiology and Chronic Health Evaluation II (APACHE II) scores (APACHE II scorelt;25: RR=1.06, 95%CI 0.93 to 1.21, P=0.37; APACHE II score≥25: RR=0.93, 95%CI 0.69 to 1.24, P=0.60), and in the 28-day mortality by protein C deficiency class (APC deficiencylt;80%: RR=0.96, 95%CI 0.56 to 1.65, P=0.89; APC deficiencygt;80%: RR=0.61, 95%CI 0.34 to 1.08, P=0.09). Besides, bleeding risk in the rhAPC group was 1.62 fold more than that in the placebo group (RR=1.62, 95%CI 1.17 to 2.23, P=0.004). No significant difference was found in the incidence of adverse reaction (RR=1.04, 95%CI 0.92 to 1.18, P=0.53). Conclusion Current evidence suggests that, rhAPC could not improve the prognosis of patients with severe sepsis, but it significantly increases bleeding risk.
Objective
To investigate the etiological distribution of the patients with optic neuritis in
China and compare the results with those in western countries.
Methods
Ophthalmological and neurological detailed clinical and laboratorial examinations were performed on 204 patients with primarily diagnosed optic neuritis (ON).
We determined the etiologies using international accepted diagnostic criteria.
Results
Among 113 patrents with ON, 83(73.5%) were considered as with idiopathic
demyelinating optic neuritis ( IDON). Sinusitis was common in these patients but was considered to be the probable cause of ON only in 4. Tuberculo-meningitis caused ON was found in 2 cases and syphilitic ON in 1. The causes of 23 cases (20.4%) were unknown.
Conclusions
Idiopathic demyelinating ON is the most common pathogeny of ON. Despite of
some minor differences of causes and prognosis, the etiology of presumed ON
in our population is similar to that reported in western countries.
(Chin J Ocul Fundus Dis,2006,22:367-369)
Objective
To review the research progress of promoting the bone formation at early stage by components of the extracellular matrix (ECM).
Methods
Recent literature concerning the influence of these components on new bone formation and bone/implant contact was extensively reviewed and summarized.
Results
Coating of titanium or hydroxyapatite implants with organic components of the ECM (such as collagen type I, chondroitin sulfate, and Arg-Gly-Asp peptide) offers great potential to improve new bone formation and enhance bone/implant contact, which in turn will shorten recovery time and improve implant stability.
Conclusion
The increasing knowledge about the role of the ECM for recruitment, proliferation, differentiation of cells, and regeneration of tissue will eventually deal to the creating of an artificial ECM on the implant that could allow a defined adjustment of the required properties to support the healing process.
