ObjectiveTo investigate the expression of caspase-3 and Toll-like receptor 4 (TLR4) in the incised rat skin healing process and its relationship with the wound time and to provide an experimental evidence for the prediction of injury time. MethodsAfter the rat incised wound model was established, hematoxylin-eosin dyeing technology and immunohistochemical staining technique were used to observe the expression of caspase-3 and TLR4. Then Image Pro Plus Image analysis software and SPSS statistical analysis software were used to deal with the experimental results. ResultsCaspase-3- and TLR4-positive cells were detected in epidermis, hair follicle and sebaceous gland cells in the control skin. The expression of caspase-3 and TLR4 of the ante mortem groups were significantly different compared with the control group except the 0 h group (P<0.05). Caspase-3- and TLR4-positive cells were detected in neutrophils around the hair follicle half an hour later. Caspase-3- and TLR4-positive cell rate increased with the infiltration of inflammatory cells. Caspase-3- and TLR4-positive cell rate reached the maximum on the 3 rd day, and then it began to decrease, and they were mainly expressed in fibroblasts and mononuclear macrophages. Caspase-3- and TLR4-positive cells were mainly expressed in fibroblasts on the 10th day. There was no significant differences between the postmortem injury groups and the normal control groups (P>0.05). ConclusionCaspase-3- and TLR4-positive cell rate is time dependent and stable in 25℃ temperature environment which makes it possible to determine the time of injury.
Objective Toa nalyzed ifferentialp roteine xpressiono fc holangiocarcinomai np eripheralb loodb yproteomics technology, and to investigate the significance of proteomics technology in early diagnosis of bile ductmalignancy.M ethods Serum proteinf rom 58p atientsw ithc holangiocarcinomaa nd5 8c ontrols( 20p atientsw ithcholecystolithiasis and 38 healthy people) were detected by surface enhanced laser desorption/ionization-time offlight-mass spectrometry (SELDI-TOF-MS). Ciphergen protein chip software was used to identify proteinic spectra.R esults Comparedw itht hes pectrao fs erum proteini nc ontrolg roup,t herew ere1 0d ifferentiallye xpressedproteins in bile duct carcinoma group, among which three proteins with relative molecular masses of 5. 900 X 10’，9.08 0X 1 0’a nd1 1.86 3X 1 0’w ereu p-regulated( Plt;1 0-’)ands evenp roteinsw ithr elativem olecularm asseso f6.9 59X 1 0’，14.0 00X 1 0’，14.1 29X 1 0’，14.3 02X 1 0’，17.5 57X 10’，17.6 90X 1 0’a nd2 8.5 52X 1 0’w ered ownregulated(Plt; 10-’)。The average concentration of protein with the relative molecular mass of 11. 863 X 10’ incholangiocarcinoma group was eight times more than that in controls group. At the stage I of cholangiocarcinoma,thee xpressiono fp roteinp ointw itha r elativem olecularm asso f5 .90 0X1 0’w ass ignificantlyh ighert hant hosep atientsat the stage III and stage fV (Plt;10-’)，while there were no statistical difference of expression between diffeent clinical stages for the other 9 proteins points. And there were no significant expression differences of the above10 proteins between the patients with and without jaundice following cholangiocarcinoma. Instead, another threeproteinsw ithr elativem olecularm asseso f7 .25 5X 1 03，12.36 4X 1 0’a nd1 5.8 73X 1 03w ered etectedt oh aved ifferentproteine xpressions.A nda llo fth em showedh ighe xpressionsin j aundiceg roup( Plt;10-5).C onclusion Thereare remarkable differences of the expressions of serum proteins in peripheral blood in patients with cholangiocarcinoma.T hep roteinp ointw itha r elativem olecularm asso f1 1.86 3X 1 0’m ayb ea p otentialb iomarkerfo re arlyd iagnosisof cholangiocarcinoma
Objective To study the relationship between the expression ratio of induced nitric oxide synthase (iNOS) over glial fibrillary acidic protein (GFAP) and the time of injury after brain concussion in rat, in order to acquire a new visual angle for determining injury time of cerebral concussion. Methods Eighty-five healthy Sprague-Dawley rats were divided into three groups randomly: model group (n=25), experimental group (n=55), and control group (n=5). The rats in the model group were used to confirm the attack hight to make the model of brain concussion; according to the time of execution, rats in the experimental group were then subdivided into 11 groups with 5 rats in each subgroup, and their execution time was respectively hour 0.5, 1, 3, 6, 12, 24, 48, 96, 168, 240, and 336; the rats in the control group were executed after fed for 24 hours. After the model of cerebral concussion was established through freefalling dart method, hematoxylin-eosin staining and immunohistochemistry staining of iNOS and GFAP were conducted for the brain of the rats. All related experimental results were studied by using microscope with image analytical system and homologous statistics. Results The ratio of positive expression of iNOS over that of GFAP increased gradually during hour 0.5- 3 after injury in brain (from 5.03 to 10.47). At the same time, the positive expression of iNOS increased significantly (from 14.61% to 37.45%). However, the increase of the positive expression of GFAP was not obvious. Between hour 3 and 12, the ratio began to decline to 4.98, which was still at a high level, and during the same time period, the positive expressions of iNOS and GFAP also experienced the same change pattern. Later, the ratio began to decline between hour 12 and 336 after injury (from 4.98 to 0.95). All ratios at this time were lower than those between hour 0.5 and 12. The positive expression of iNOS and GFAP both increased to a climax before declining. Conclusions The ratio of positive expression of iNOS over GFAP and the respective change pattern of iNOS and GFAP can be used as the evidence of estimating the injury time of cerebral concussion. We can use the ratio of two or more markers to provide a new visual angle for concluding the concussion injury time.
Objective To elucidate the effect of first-aid fast track in triaging earthquake trauma patients by studying the earthquake trauma patients staying in the Emergency Department of West China Hospital after “5•12 Wenchuan Earthquake” so as to accumulate experience in the treatment of disaster traumas. Methods A retrospective study was done on earthquake trauma patients staying in the Emergency Department of West China Hospital after “5•12 Wenchuan Earthquake” from 14:28 May 12, 2008 to 14:27 May 15, 2008. Differences in care given during the time period were analyzed. Results There were 536 earthquake trauma patients in West China Hospital within 72 hours after the earthquake. Twohundred and seven earthquake trauma patients staying in the Emergency Department had an average stay of 129 minutes during the 24 hours after the quake; 104 earthquake trauma patients staying in the Emergency Department had an average stay of 97 minutes in the second 24 hours; and 226 earthquake trauma patients staying in the Emergency Department had an average stay of 86 minutes in the third 24 hours. Each consecutive day showed shorter average stays. Conclusion The first-aid fast track not only guarantees earthquake trauma patients are saved as soon as possible but also shortens the time in the Emergency Department.
Objective To explore the differential diagnosis significance of 3.0T MRI united-sequences examination in the diagnosis of benign and malignant breast lesions. Methods A total of 67 breast lesions of 59 patients were collected prospectively, which be treated at the Sichuan Provincial People’s Hospital during July 2015 to January 2017. All patients were underwent bilateral breast 3.0T magnetic resonance plain scan, diffusion weighted imaging, and dynamic enhanced scan successively before surgical operation. Analysis of morphological features of the benign and malignant breast lesions, the time-signal intensity curve (TIC), the apparent diffusion coefficient (ADC), and the combination diagnosis of them were performed. Results Of all 59 patients, 67 lesions were confirmed by histopathology, including 18 benign lesions and 49 malignant lesions. The morphological features (including margin, shape, border, and evenness), the types of TIC of dynamic enhancement, and ADC value between the benign lesions and malignant lesions were statistically significant (P<0.05). The sensitivity and specificity of Fischer scoring system was 89.8% (44/49) and 61.1% (11/18) respectively. The sensitivity and specificity of TIC types was 83.7% (41/49) and 77.8% (14/18) respectively. The diagnostic threshold of ADC value was 1.012×10–3 mm2/s, with the sensitivity and specificity for the diagnosis was 91.8% (45/49) and 83.3% (15/18) respectively. The sensitivity and specificity of the combination of Fischer scoring system and TIC type for diagnosis between benign and malignant breast lesions was 95.9% (47/49) and 72.2% (13/18) respectively. The sensitivity and specificity of the combination of Fischer scoring system, TIC type, and ADC value for benign and malignant breast lesions was 98.0% (48/49) and 83.3% (15/18) respectively. Conclusion The combination of Fischer scoring system, TIC type, and diffusion-weighted imaging for the differential diagnosis between benign lesions and malignant lesions was more effective than single imaging method.
ObjectiveTo establish a forecasting model for inpatient cases of pediatric limb fractures and predict the trend of its variation.MethodsAccording to inpatient cases of pediatric limb fractures from January 2013 to December 2018, this paper analyzed its characteristics and established the seasonal auto-regressive integrated moving average (SARIMA) model to make a short-term quantitative forecast.ResultsA total of 4 451 patients, involving 2 861 males and 1 590 females were included. The ratio of males to females was 1.8 to 1, and the average age was 5.655. There was a significant difference in age distribution between males and females (χ2=44.363, P<0.001). The inpatient cases of pediatric limb fractures were recorded monthly, with predominant peak annually, from April to June and September to October, respectively. Using the data of the training set from January 2013 to May 2018, a SARIMA model of SARIMA (0,1,1)(0,1,1)12 model (white noise test, P>0.05) was identified to make short-term forecast for the prediction set from June 2018 to November 2018, with RMSE=8.110, MAPE=9.386, and the relative error between the predicted value and the actual value ranged from 1.61% to 8.06%.ConclusionsCompared with the actual cases, the SARIMA model fits well with good short-term prediction accuracy, and it can help provide reliable data support for a scientific forecast for the inpatient cases of pediatric limb fractures.
Aiming at the defects that the traditional pulse transit time (PTT) detection methods are sensitive to changes in photoplethysmography (PPG) signal and require heavy computation, we proposed a new algorithm to detect PTT based on waveform time domain feature and dynamic difference threshold. We calculated the PTT by using dynamic difference threshold method to detect the R-waves of electrocardiogram (ECG), shortening the main peak detection range in PPG signal according to the characteristics of the waveform time domain, and using R wave to detect the main peak of PPG signal. We used the American MIMIC database and laboratory test data to validate the algorithm. The experimental results showed that the proposed method could accurately extract the feature points and detect PTT, and the PTT detection accuracies of the measurements and the database samples were 99.1% and 97.5%, respectively. So the proposed method could be better than the traditional methods.
Motor imagery (MI) is a mental process that can be recognized by electroencephalography (EEG) without actual movement. It has significant research value and application potential in the field of brain-computer interface (BCI) technology. To address the challenges posed by the non-stationary nature and low signal-to-noise ratio of MI-EEG signals, this study proposed a Riemannian spatial filtering and domain adaptation (RSFDA) method for improving the accuracy and efficiency of cross-session MI-BCI classification tasks. The approach addressed the issue of inconsistent data distribution between source and target domains through a multi-module collaborative framework, which enhanced the generalization capability of cross-session MI-EEG classification models. Comparative experiments were conducted on three public datasets to evaluate RSFDA against eight existing methods in terms of classification accuracy and computational efficiency. The experimental results demonstrated that RSFDA achieved an average classification accuracy of 79.37%, outperforming the state-of-the-art deep learning method Tensor-CSPNet (76.46%) by 2.91% (P < 0.01). Furthermore, the proposed method showed significantly lower computational costs, requiring only approximately 3 minutes of average training time compared to Tensor-CSPNet’s 25 minutes, representing a reduction of 22 minutes. These findings indicate that the RSFDA method demonstrates superior performance in cross-session MI-EEG classification tasks by effectively balancing accuracy and efficiency. However, its applicability in complex transfer learning scenarios remains to be further investigated.