ABSTRACT
Objective:To investigate the influencing factors of urinary tract infection in pregnant women with diabetes and the distribution characteristics of pathogens in the middle urinary tract.Methods:A total of 220 patients with gestational diabetes who visited the Second People′s Hospital of Lianyungang City from December 2018 to December 2021 were selected as the study subjects, and the incidence of urinary tract infection was counted. According to the diagnosis results of urinary tract infection, they were divided into infected group and uninfected group. The infected group took the middle urine for pathogen culture, and the resistance rate of main gram-negative bacteria to antibiotics was analyzed; Logistic regression model was used to analyze the influencing factors of urinary tract infection in pregnant women with diabetes.Results:There were 32 cases of urinary tract infection in 220 patients with gestational diabetes, and the infection rate was 14.55%(32/220). 43 strains of pathogenic bacteria were identified, mainly gram-negative bacilli [72.09%(31/43)], followed by gram-positive cocci [20.93%(9/43)] and fungi [6.98%(3/43)]. Amongthe main gram-negative bacteria, escherichia coli had a high resistance rate to ampicillin and levofloxacin, while Klebsiella pneumoniae had a high resistance rate to ampicillin and cefazolin; There were significant differences between the infected group and the non infected group in age, hospital stay, personal urinary tract infection history, pregnancy sexual life history, use of antibiotics, fasting blood sugar, serum albumin, and glycated hemoglobin (all P<0.05); Multivariate logistic regression results showed that personal history of urinary tract infection, sexual life during pregnancy, non-standard use of antibiotics, serum albumin<30 g/L, glycated hemoglobin ≥7%, and fasting blood sugar ≥8.5 mmol/L were independent risk factors for urinary tract infection in pregnant diabetes patients (all P<0.05). Conclusions:There is a high incidence of urinary tract infection in patients with gestational diabetes, and the risk factors are complex. Gram negative bacilli are the main pathogenic bacteria. Antibacterial drugs can be reasonably selected for intervention according to drug sensitivity test in clinical practice.
ABSTRACT
Objective:To investigate the effects of long noncoding RNA (LncRNA) lung cancer associated transcript 1 (LUCAT1) targeting microRNA (miR)-502-5p on the proliferation, migration and invasion of human retinoblastoma (RB) cells.Methods:RB tissue samples were collected from 27 RB patients who underwent eyeball enucleation in Henan Eye Hospital from May 2019 to January 2021.Another 27 normal retinal tissue specimens were collected from 12 patients with eyeball rupture, 7 with eyeball atrophy, and 8 with eyeball penetrating injury combined with pigment film incarceration who underwent the eyeball enucleation in Henan Eye Hospital during the same period.The expressions of LncRNA LUCAT1 and miR-502-5p in RB tissues, cell lines (Y-79, WERI-Rb-1, HXo-RB44) and human retinal epithelial cells (ARPE-19) were detected by real-time quantitative PCR.Y-79 RB cell was divided into control group, small interfering RNA (si)-LncRNA LUCAT1 group, si-control (con) group, pcDNA group, pcDNA-LncRNA LUCAT1 group, miR-con group, miR-502-5p group, si-LncRNA LUCAT1+ anti-miR-con group and si-LncRNA LUCAT1+ anti-miR-502-5p group, and cells in different groups were transfected with corresponding reagents.The expressions of MMP2 and MMP9 proteins were detected by Western blot.Cell proliferation activity was assayed by cell counting kit 8.Cell proliferation capability was detected by colony formation assay.Cell migration and invasion ability were determined by Transwell assay.The targeting regulation of LncRNA LUCAT1 against miR-502-5p was confirmed by dual luciferase reporter assay and real-time quantitative PCR.The study protocol was approved by the Ethics Committee of Henan Eye Hospital (No.HNEECKY-2021[32]). Written informed consent was obtained from guardians of subjects.Results:LncRNA LUCAT1 expression level in RB tissue was 2.73±0.34, which was significantly higher than 1.00±0.15 in normal retinal tissue ( t=24.190, P<0.001). The miR-502-5p expression level in RB tissues was 0.42±0.06, which was significantly lower than 1.00±0.13 in normal retinal tissue ( t=21.049, P<0.001). LncRNA LUCAT1 expression level was significantly higher and the miR-502-5p expression level was significantly lower in human RB cell lines Y-79, WERI-Rb-1 and HXO-RB44 than those in ARPE-19 cells, with statistically significant differences (all at P<0.05). The LncRNA LUCAT1 expression, the relative expressions of MMP2 and MMP9 proteins, the absorbance ( A) value, and the number of proliferated, migrating and invading Y-79 cells in si-LncRNA LUCAT1 group were significantly reduced in comparison with control group, and the differences were statistically significant (all at P<0.05). The miR-502-5p expression level was higher, and the relative expression levels of MMP2 and MMP9, A value, as well as the number of proliferated, migrating and invading Y-79 cells were lower in miR-502-5p group than in miR-con group, showing statistically significant differences ( t=20.274, 14.884, 14.181, 12.692, 17.749, 20.889, 21.913; all at P<0.001). The miR-502-5p expression level was lower and the relative expression levels of MMP2 and MMP9, A value as well as the number of proliferated, migrating and invading Y-79 cells were higher in si-LncRNA LUCAT1+ anti-miR-502-5p group than in si-LncRNA LUCAT1+ anti-miR-con group, showing statistically significant differences ( t=14.097, 15.839, 15.757, 11.860, 16.235, 16.565, 16.487; all at P<0.001). When co-transfected with LncRNA LUCAT1-wild type, the relative luciferase activity of miR-502-5p group was lower than that of miR-con group, and the difference was statistically significant ( t=16.379, P<0.001). The LncRNA LUCAT1 expression level was higher and the miR-502-5p expression level was lower in pcDNA-LncRNA LUCAT1 group than in pcDNA group, and the differences were statistically significant (both at P<0.05). The LncRNA LUCAT1 expression level was lower and the miR-502-5p expression level was higher in si-LncRNA LUCAT1 group than in si-con group, and the differences were statistically significant (both at P<0.05). Conclusions:Inhibition of LncRNA LUCAT1 can attenuate the proliferation, migration and invasion ability of human RB cells by the targeting up-regulation of miR-502-5p.
ABSTRACT
ObjectiveTo investigate the effect of different doses of Jiedu Tongluo Shengjin prescription （JTSP） on serum interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α） and forkhead box P3 （FoxP3） in submandibular gland of NOD/Ltj mice with Sjögren's syndrome， and to explore the mechanism of JTSP on immune regulation in NOD/Ltj mice. MethodThirty NOD/Ltj mice （eight weeks old） were randomly divided into model group， JTSP low-dose group， JTSP medium-dose group， JTSP high-dose group and hydroxychloroquine group， and were administrated with normal saline， JTSP 9， 18， and 36 g·kg-1， and hydroxychloroquine 60 mg·kg-1 daily， respectively from the age of 12 weeks. Six ICR mice were given an equal amount of normal saline by gavage as the control group. During the experiment， daily water consumption and saliva secretion of mice at the age of 9， 12， 16 weeks were recorded. After 4 weeks of administration， submandibular gland and spleen tissues were dissected to calculate corresponding indexes. The pathological morphology of submandibular gland was observed by hematoxylin-eosin （HE） staining. Meso Scale Discovery （MSD） and immunohistochemistry were employed to detect the serum levels of IL-6， TNF-α and IL-10， and the expression and distribution of FoxP3 in submandibular gland， respectively. The protein expression of FoxP3 in mouse submandibular gland was determined by Western blot， and the mRNA expressions of FoxP3 and TNF-α were determined by real-time polymerase chain reaction （Real-time PCR）. ResultCompared with the control group， the model group presented increased daily water consumption， decreased saliva secretion， lowered submandibular gland index， elevated pathological score of submandibular gland， up-regulated serum IL-6 and TNF-α and mRNA expression of TNF-α while down-regulated serum IL-10 and protein and mRNA expressions of FoxP3 in submandibular gland （P<0.05）. Compared with the conditions in model group， daily water consumption in JTSP groups was reduced while saliva secretion was increased， especially in medium-dose and high-dose groups （P<0.05）， and there was an increase in the submandibular gland index of JTSP medium-dose group （P<0.05） while a decrease in the spleen index of JTSP high-dose group （P<0.05）. Additionally， JTSP groups had lower pathological score of submandibular gland than the model group （P<0.05）， especially high-dose group， as well as lower serum IL-6 and TNF-α and mRNA expression of TNF-α while higher serum IL-10 （P<0.05）. JTSP at medium and high doses up-regulated the protein and mRNA expressions of FoxP3 in submandibular gland （P<0.05）. ConclusionJTSP may inhibit the secretion of inflammatory cytokines by regulating the stability of FoxP3+ regulatory T （Treg） cells， thus alleviating the systemic immune inflammation in Sjögren's syndrome.
ABSTRACT
Speech feature learning is the core and key of speech recognition method for mental illness. Deep feature learning can automatically extract speech features, but it is limited by the problem of small samples. Traditional feature extraction (original features) can avoid the impact of small samples, but it relies heavily on experience and is poorly adaptive. To solve this problem, this paper proposes a deep embedded hybrid feature sparse stack autoencoder manifold ensemble algorithm. Firstly, based on the prior knowledge, the psychotic speech features are extracted, and the original features are constructed. Secondly, the original features are embedded in the sparse stack autoencoder (deep network), and the output of the hidden layer is filtered to enhance the complementarity between the deep features and the original features. Third, the L1 regularization feature selection mechanism is designed to compress the dimensions of the mixed feature set composed of deep features and original features. Finally, a weighted local preserving projection algorithm and an ensemble learning mechanism are designed, and a manifold projection classifier ensemble model is constructed, which further improves the classification stability of feature fusion under small samples. In addition, this paper designs a medium-to-large-scale psychotic speech collection program for the first time, collects and constructs a large-scale Chinese psychotic speech database for the verification of psychotic speech recognition algorithms. The experimental results show that the main innovation of the algorithm is effective, and the classification accuracy is better than other representative algorithms, and the maximum improvement is 3.3%. In conclusion, this paper proposes a new method of psychotic speech recognition based on embedded mixed sparse stack autoencoder and manifold ensemble, which effectively improves the recognition rate of psychotic speech.
Subject(s)
Humans , Algorithms , Databases, Factual , Psychotic Disorders , Speech , Speech PerceptionABSTRACT
With the rapid improvement of the perception and computing capacity of mobile devices such as smart phones, human activity recognition using mobile devices as the carrier has been a new research hot-spot. The inertial information collected by the acceleration sensor in the smart mobile device is used for human activity recognition. Compared with the common computer vision recognition, it has the following advantages: convenience, low cost, and better reflection of the essence of human motion. Based on the WISDM data set collected by smart phones, the inertial navigation information and the deep learning algorithm-convolutional neural network (CNN) were adopted to build a human activity recognition model in this paper. The K nearest neighbor algorithm (KNN) and the random forest algorithm were compared with the CNN network in the recognition accuracy to evaluate the performance of the CNN network. The classification accuracy of CNN model reached 92.73%, which was much higher than KNN and random forest. Experimental results show that the CNN algorithm model can achieve more accurate human activity recognition and has broad application prospects in predicting and promoting human health.
Subject(s)
Humans , Algorithms , Cluster Analysis , Human Activities , Motion , Neural Networks, ComputerABSTRACT
The monitoring of pregnant women is very important. It plays an important role in reducing fetal mortality, ensuring the safety of perinatal mother and fetus, preventing premature delivery and pregnancy accidents. At present, regular examination is the mainstream method for pregnant women's monitoring, but the means of examination out of hospital is scarce, and the equipment of hospital monitoring is expensive and the operation is complex. Using intelligent information technology (such as machine learning algorithm) can analyze the physiological signals of pregnant women, so as to realize the early detection and accident warning for mother and fetus, and achieve the purpose of high-quality monitoring out of hospital. However, at present, there are not enough public research reports related to the intelligent processing methods of out-of-hospital monitoring for pregnant women, so this paper takes the out-of-hospital monitoring for pregnant women as the research background, summarizes the public research reports of intelligent processing methods, analyzes the advantages and disadvantages of the existing research methods, points out the possible problems, and expounds the future development trend, which could provide reference for future related researches.
Subject(s)
Female , Humans , Pregnancy , Fetus , Pregnant WomenABSTRACT
Methods for achieving diagnosis of Parkinson's disease (PD) based on speech data mining have been proven effective in recent years. However, due to factors such as the degree of disease of the data collection subjects and the collection equipment and environment, there are different categories of sample aliasing in the sample space of the acquired data set. Samples in the aliased area are difficult to be identified effectively, which seriously affects the classification accuracy of the algorithm. In order to solve this problem, a partition bagging ensemble learning is proposed in this article, which measures the aliasing degree of the sample by designing the the ratio of sample centroid distance metrics and divides the training set into multiple subsets. And then the method of transfer training of misclassified samples is used to adjust the results of subset partitioning. Finally, the optimized weights of each sub-classifier are used to integrate the test results. The experimental results show that the classification accuracy of the proposed method is significantly improved on two public datasets and the increasement of mean accuracy is up to 25.44%. This method not only effectively improves the classification accuracy of PD speech dataset, but also increases the sample utilization rate, providing a new idea for the diagnosis of PD.
Subject(s)
Humans , Algorithms , Data Mining , Machine Learning , Parkinson Disease , Diagnosis , SpeechABSTRACT
Diagnosis of Parkinson's disease (PD) based on speech data has been proved to be an effective way in recent years. However, current researches just care about the feature extraction and classifier design, and do not consider the instance selection. Former research by authors showed that the instance selection can lead to improvement on classification accuracy. However, no attention is paid on the relationship between speech sample and feature until now. Therefore, a new diagnosis algorithm of PD is proposed in this paper by simultaneously selecting speech sample and feature based on relevant feature weighting algorithm and multiple kernel method, so as to find their synergy effects, thereby improving classification accuracy. Experimental results showed that this proposed algorithm obtained apparent improvement on classification accuracy. It can obtain mean classification accuracy of 82.5%, which was 30.5% higher than the relevant algorithm. Besides, the proposed algorithm detected the synergy effects of speech sample and feature, which is valuable for speech marker extraction.
ABSTRACT
Objective To study the influence of preoperative and postoperative concern and love service on the perioperative clinical indexes,re-pregnancy and adverse drug reaction risk in females of painless artificial abortion.Methods Three hundred and sixty female patients receiving painless artificial abortion operation in our hospital from June 2014 to May 2015 were selected and divided into the control group and observation group by using the random number table method,180 cases in each group.The control group was explained the conventional considerations before and after operation,while the observation group was given the concern and love service before and after operation.Results The induction amount,total amount of propofol,intraoperative bleeding volume,operation time and postoperative bleeding days in the observation group were less than those in the control group(P＜0.05).The observation group had more cases of accidental re-pregnancy,while the cases number of repeated abortion once or above was less than that in the control group(P＜0.05).The incidence rates of infection,irregular menstruation and mental disorder in the observation group were lower than those in the control group(P＜0.05).The implementing rate of effective contraception measures in the observation group was higher than that in the control group,while the incidence rates of safety period,ejaculation outside body,emergency contraception and no contraception were lower than those in the control group(P＜0.05).Conclusion Conducting the concern and love service before and after painless artificial abortion is conducive to the smooth operation,and the implementation rate of effective contraception measures is good.
ABSTRACT
Objective:To systematically evaluate the volumetric changes of upper airway after rapid maxillary expansion using Meta analysis.Methods:All literatures about volumetric changes in the upper airway after rapid maxillary expansion were searched from the database in general.The literatures were screened according to the correlation and the inclusion criteria,included the literatures were analyzed by Rev Man 5.3.Results:11 literatures were finally selected.Meta analysis indicated that,after treatment nasopharyngeal volume increased by 0.62 cm3(P=0.000 2),palatopharyngeal volume increased by 0.62 cm3(P=0.02),glossopharyngeal volume increased by 0.39 cm3(P=0.11),oropharyneal volume increased by 0.40 cm3(P=0.27).Conclusion:The existing evidence indicates that rapid maxillary expansion can increase the volume of nasopharynx and retropalatal part of upper airway.
ABSTRACT
Objective To investigate the value of combined detection of serum CA125 ,VEGF‐C andβ2‐MG levels on early diag‐nosis of retroperitoneal lymph node metastasis in the patients with ovarian cancer .Methods Fifty‐one patients with ovarian cancer undergoing retroperitoneal lymph node cleaning operation were included as the experimental group ,including 29 cases of positive retroperitoneal lymph node metastasis .Contemporaneous 32 cases of benign ovarian tumor were selected as the control group .The serum CA125 level was detected by using electricity chemiluminescence (electrocheminescence) ,serum VEGF‐C level by using en‐zyme‐linked immunosorbent assay (ELISA) and serumβ2‐MG level by using the latex enhanced immune turbidimetric method .The serum CA125 ,VEGF‐C andβ2‐MG levels were compared among various groups .Results The serum CA125 ,VEGF‐C andβ2‐MG levels in the experimental group were (1 682 .5 ± 261 .5)μg/mL ,(2 125 .6 ± 96 .7)pg/mL and (2 .52 ± 0 .61)mg/L respectively , which in the control group were (30 .5 ± 6 .3)μg/mL ,(1 738 .0 ± 79 .8)pg/mL and (1 .87 ± 0 .56)mg/L respectively ,the difference between them was statistically significant (P< 0 .01) .The serum CA125、VEGF‐C、β2‐MG levels in 29 cases of retroperitoneal lymph node metastasis were more significantly higher ,which were (1 997 .3 ± 376 .8)μg/mL ,(2 895 .2 ± 126 .8)pg/mL and (4 .95 ± 0 .69)mg/L respectively ,and the difference was statistically significant compared with the control group (P<0 .01) .The sensitivity ,specificity and accuracy rate of the combined detection of serum VEGF‐C ,β2‐MG and CA125 for diagnosing ovarian cancer retroperitoneal lymph node metastasis were 95 .8% ,97 .3% and 98 .5% respectively .Conclusion The combined detection of serum VEFG‐C ,β2‐MG and CA125 has an important clinical value in early diagnosing retroperitoneal lymph node metastasis of o‐varian cancer .
ABSTRACT
Objective To investigate the clinical value of serum carbohydrate antigen (CA125,CA199)and vascular endothelial growth factor C (VEGF-C)in early diagnosis of ovarian carcinoma.Methods 51 cases of ovarian cancer patients with retroperitoneal lymph node dissection were performed in the observation group,including 23 cases of ovarian cancer retroperitoneal lymph node metastasis,32 cases of ovarian benign tumor were selected as the control group.The serum levels of CA199 and CA125 were detected by the method of chemiluminescence detection,and the serum VEGF-C level was detected by enzyme-linked immunosorbent assay (ELISA).Results The serum level of CA125 in patients with ovarian cancer (1 682.5 ±261.5)u/mL was significantly higher than that in the control group (30.5 ±6.3)u/mL(P <0.01),serum VEGF-C level in ovarian cancer patients (2 125.6 ±96.7)pg/mL was signif-icantly higher than that in the control group (1 738.0 ±79.8)pg/mL (P <0.01 ).The serum CA199 level of 51 patients with newly diagnosed epithelial ovarian cancer was (72.5 ±30.6)u/mL,serum CA199 level of the control group was (17.4 ±8.5)u/mL,CA199 level of retroperitoneal lymph node metastasis was (134.9 ±72.5)u/mL, ovarian cancer retroperitoneal lymph node metastasis CAl99 serum level were significantly higher than those without lymph node metastasis and the control group (t =7.39,18.34,all P <0.01).The diagnostic sensitivity,specificity and accuracy of serum VEGF-C +CA199 +CA125 in detection of ovarian cancer retroperitoneal lymph node metasta-sis were 95.5%,96.5%,99.5%.Conclusion Combined detection of CA125,VEFG-C and CA199 in serum has important clinical value in predicting lymph node metastasis of ovarian cancer.
ABSTRACT
The historical origin of researches regarding acupuncture and mast cells (MCs) is reviewed, and the hypothesis that dermal MCs might be correlated with the acupuncture phenomena proposed byin 1977 is introduced. This hypothesis, for the first time, suggests MCs could be the cellular basis of meridian sensation and arrival of() of acupoints. With independent tests of several research institutes, currently sufficient evidences prove the scientific values of's theory as well as its potential values for the basic research and clinical practice of acupuncture. It is reported recently that MCs might receive signals from central nerve system and acupoint stimulation, showing cross-talk effects, therefore, MCs can be sensitized at acupoints. In this paper, with a review of 40-year research evidence, 15 biological characteristics regarding mast cells and acupuncture phenomena are identified, in the meanwhile, 10 key questions and research direction, including the distribution of MCs in skin and its general relationship with meridian-acupoint, etc. are proposed.
ABSTRACT
Objective:To establish a fluid dynamics model of upper airway before and after surgery and explore the changes of three-dimensional fluid dynamics in patients with micrognathia.Methods:A patient with micrognathia and severe obstructive sleep apnea-hypopnea syndrome(OSAHS)accepted CT scan before and six months after mandibular advancement operation.Computation-al fluid dynamics model was built on the base of CT scan by Mimics 1 0.01 and ANSYS ICEMCFD1 4.0.The internal flow of upper respiratory tract was simulated by ANSYS-FLUENT 1 4.0 and the results were analyzed by Tecplot.Results:Fluid dynamics model of upper airway was constructed before and after the surgery respectively.The volume of the upper airway of the patient increased from 37.284 cm3 to 44.498 cm3;the most narrow area of upper airway was located in the lower bound of pharyngopalatiae,and it was augmented from 1 .1 35 cm2 to 2.297 cm2;the minimum pressure was decreased from1 01 308 Pa to 1 01 272 Pa;the maximum air velocity increased from 3.476 m/s to 4.978 m/s.Conclusion:Mandibular advancement may correct the occlusal deformity,ex-panse the upper respiratory tract,decrease the negative pressure and maintain the patency of the airflow in the treatment of patients with micrognathia and OSAHS.
ABSTRACT
BACKGROUND:The analysis of gas flow in upper respiratory tract of patients with obstructive sleep apnea-hypopnea syndrome contributes to further understanding the correlation of anatomical structure and function of upper respiratory tract so as to know the pathogenesis of obstructive sleep apnea-hypopnea syndrome. OBJECTIVE:To establish the three-dimensional computational fluid dynamics model of upper airway in patients with obstructive sleep apnea-hypopnea syndrome, to study the characteristics of airflow dynamics in upper respiratory tract in above patients, and to lay the foundation for further exploring the pathogenesis of obstructive sleep apnea-hypopnea syndrome. METHODS:CT scan of the upper airway was performed with a moderate obstructive sleep apnea-hypopnea syndrome patient. Data stored in DICOM format were imported in Mimics 10.01 software, and processed, and then computational fluid dynamics model was built. ANSYS ICEM CFD14.0 was used to perform the grid division of the three-dimensional model. The internal flow of upper respiratory tract was simulated by ANSYS 14.0-Fluid Dynamics, and relevant information on airflow field of upper airway was obtained. RESULTS AND CONCLUSION: The three-dimensional computational fluid dynamics model of upper airway wasestablished with 1 751 940 elements and 303 981 nodes of upper airway. The flow rate was 11.087 m/s in the lower bound of pharyngopalatiae, which was the most narrowed areas of upper airway in patients with obstructive sleep apnea-hypopnea syndrome. The three-dimensional computational fluid dynamics model of upper airway has accurately simulated biomechanical feature of human, which provides a foundation for further studying the airflow dynamics of upper respiratory tract of patients with obstructive sleep apnea-hypopnea syndrome.
ABSTRACT
Objective To investigate the infection status and drug suscepetibility of mycoplasma from 6 573 patients with non-gonococcal urethritis ,and to provide the scientific bases for the clinical application of antibiotics .Methods Mycoplasma detection kit was used to detect ureaplasma urealyticum (Uu) and mycoplasma hominis(Mh) and the drug susceptibility .All the patients were divided into two groups :Chinese group and foreigner group .Results Among 5 675 Chinese patients ,2 985 patients were infected by mycoplasma(52 .6% ) .The infection rate of Uu was 2 312(40 .7% ) .35 .2% patients were male ,and 61 .4% patients were female .In 898 foreign patients ,440 patients were infected by mycoplasma(49 .0% ) .The infection rate of Uu was 327(36 .4% ) .32 .2% pa-tients were male ,and 59 .5% patients were female .In Chinese patients infected by Uu ,the susceptibility rates to MIN ,DOX ,JOS and CLA were 96 .7% ,96 .2% ,93 .7% ,89 .7% ,respectively .In foreign patients ,the susceptibility rates to MIN ,DOX ,JOS ,and CLA were 98 .9% ,98 .4% ,95 .8% ,92 .1% .Conclusion The mycoplasma infection rate of Chinese patients is higher than foreign patients .In both groups ,Uu infection is the main type .Female patients are more than male patients .The drug sensitivity rate in for-eign group is higher than that in Chinese group .mycoplasma are sensitivity to MIN ,DOX ,JOS .
ABSTRACT
Objective:To analyse the change of morphology and internal air flow in upper airway by the use of oral appliance(OA)in patients with obstructive sleep apnea hypopnea syndrome (OSAHS).Methods:A 46-year-old male patient with OSAHS accepted CT scan before and three months after use of OA.Computational fluid dynamics(CFD)model was built on the base of CT scans by Mimics 10.01 and ANSYS ICEMCFD14.0.The internal flow of upper respiratory tract was simulated by ANSYS-FLUENT 14.0 and the re-sults was analyzed by ANSYS-CFD-Post14.0.Results:The most narrow area of upper airway was located in the lower bound of pha-ryngopalatiae,and it augmented from 0.119 4 cm2 to 0.409 9 cm2 after wearing OA;the maximum air velocity was decreased from 11 . 087 m/s to 8.204 m/s,the minimum negative pressure was decreased from -83 Pa to -59 Pa,the resistance of cavum pharyngis de-creased from 250 Pas/L to 145 Pas/L.Conclusion:Application of OA may expanse the upper respiratory tract,decrease the negative pressure and resistance of the upper respiratory tract in narrow area,reduce the collapsibility of the upper airway and maintain the pa-tency of the airflow.
ABSTRACT
BACKGROUND:The regulatory role of extracellular signal regulated kinase 1/2 (ERK1/2) and nuclear factor kappa B (NF-κB) signal pathways in the osteogenic differentiation of MC3T3-E1 cells subjected to mechanical strain remains unclear. OBJECTIVE:To investigate the effects of ERK1/2 and NF-kB signal pathway on alkaline phosphatase, type Ⅰcol agen, osteocalcin and interleukin-6 expression in osteoblasts in response to mechanical strain, and to explore the regulatory effects of ERK1/2 and NF-kB signal pathway on osteoblast differentiation. METHODS:MC3T3-E1 cells cultured in vitro were separately treated with ERK1/2 pathway specific inhibitor PD098059 and NF-kB pathway inhibitor PDTC for 30 minutes, and subjected to12%elongation for 24 hours. Normal cells and cells along loading 12%mechanical strain for 24 hours were considered as controls. Enzyme linked immunosorbent assay and real-time PCR were utilized to detect alkaline phosphatase activities, type Ⅰcol agen, osteocalcin and interleukin-6 mRNA expression before and after cellloading. RESULTS AND CONCLUSION:Under 12%mechanical strain, alkaline phosphatase, type I col agen, and interleukin-6 expression was regulated by ERK1/2 signal pathway in MC3T3-E1 cells, but osteocalcin gene expression was not affected by ERK1/2 pathway. NF-kB signal pathway inhibitor PDTC significantly suppressed alkaline phosphatase activities in MC3T3-E1 cells under mechanical strain, and inhibited interleukin-6 gene expression. However, type I col agen and osteocalcin gene expression was not affected by NF-kB signal pathway. Results suggested that mechanical strain affected osteogenic differentiation and relevant gene expression in MC3T3-E1 cells by ERK1/2 and NF-kB signal pathway.
ABSTRACT
Based on single-chip microcomputer, we have established a mechanical strain loading system with multi-channel to study the biological behavior of cultured cells in vitro under mechanical strain. We developed a multi-channel cell strain loading device controlled by single-chip microcomputer. We controlled the vacuum pump with vacuum chamber to make negative pressure changing periodically in the vacuum chamber. The tested cells were seeded on the surface of an elastic membrane mounted on the vacuum chamber, and could be strained or relaxed by cyclic pressure. Since the cells are attached to the surface of the membrane, they presumably experience the same deformation as that was applied to the membrane. The system was easy to carry and to operate, with deformation rate (1%-21%) and frequency (0-0. 5Hz) which could be adjusted correctly according to experimental requirement, and could compare different deformation rate of three channels at the same time. The system ran stably and completely achieved design aims, and provided a method to study the biological behavior of cultured cells attached to the surface of the elastic membrane under mechanical strain in vitro.
Subject(s)
Cell Culture Techniques , Methods , Computer Simulation , Equipment Design , Mechanotransduction, Cellular , Physiology , Microcomputers , Stress, Mechanical , Tensile StrengthABSTRACT
The obstructive sleep apnoea/hypopnoea syndrome (OSAHS) affects approximately 2%-4% of the middle-aged population. It is characterized by obstruction of the upper airway during sleep, resulting in repetitive breathing pauses accompanied by oxygen desaturation. It has been recognized as an independent risk factor for disorders such as hypertension, cardiovascular diseases and sleepiness-related accidents. Treatment modalities for OSAHS at the present time include nasal continuous positive airway pressure( CPAP) , surgery option and oral appliances. However many patients refuse or cannot tolerate CPAP and surgery treatment and randomized trials report patient preference for o-ral appliances. Today, the most commonly used oral appliances are the mandibular advancement devices (MADs). This article provides an overview of OSAHS: its epidemiology, clinical features, diagnosis and clinical application on treatment of OSAHS with MADs.