Objective To investigate p75 NTR expressing neurons and hyperphosphorylated tau protein containing neurons in the hippocampal CA1 subfield of Alzheimer's disease. Methods Samples of hippocampus of 10 female AD patients and 10 non-demented female controls matched with age and postmortem delay were obtained from the Netherlands Brain Bank. The main body of hippocampus was dissected, dehydrated and embedded in paraffin. Serial 6-?m coronal sections were cut, and 3 successive sections were selected. The first section was stained with 0.5% thionin, the second was processed for p75 NTR immunocytochemistry and the third was processed for p75 NTR double-labeling immunocytochemistry with Alz-50. For quantitative analysis of the total number of neurons, p75 NTR expressing neurons and neurons colocalizing p75 NTR and Alz-50 in the CA1 subfields, a MetaMorph image acquisition and processing software (Universal Imaging Corp, USA) was used.Results The total number of neurons, p75 NTR immunoreactive neurons and ratio of the latter to the former in 1 mm2 of the CA1 subfield of AD patients were 293.2?37.0, 116.0?20.4 and 39.7%?5.3%, respectively, of controls were 473.6?63.1, 136.7?24.4 and 28.9%?3.7%, respectively. There was significant decrease in the total number of neurons of the AD patients in comparison with controls (P=0.000 2). However, the ratio of p75 NTR neurons to total number of neurons was significant increase in AD patients compared with controls (P=0.001). The number of Alz-50 neurons, Alz-50 and p75 NTR double-labeling neurons and ratio of the latter to the former in 1 mm2 of the CA1 subfield of AD patients were 87.5?29.2, 76.4?26.6 and 86.6%?5.0%, respectively. Furthermore, the number of p75 NTR containing neurons was significantly correlated to the number of Alz-50 expressing neurons (r=0.79, P=0.006). Conclusion The p75 NTR may interact with hyperphosphorylated tau protein and involve in the pathogenesis of Alzheimer′s disease.

Objective To explore application effect of hierarchical management based on Intensive Care Nursing Scoring System ( ICNSS) in intensive care unit ( ICU) patients with brain injury .Methods A total of 65 ICU patients with brain injury from June 2013 to May 2014 were treated as control group;another 60 cases of ICU patients with brain injury from June 2014 to May 2015 were treated as observation group .Patients in the control group were implemented with routine nursing , while the observation group with hierarchical management based on ICNSS system.Prognosis, complications, nurse-patient disputes events, nursing risk events, and patient satisfaction of two groups were compared .Results In observation group, plant survival rate (3.33%), incidence of complications (6.67%), nurse dispute event rate (3.33%), incidence of nursing risk events (5.00%) were lower than those of the control group (χ2 =4.296,4.720,4.296,5.354;P<0.05).Among patient satisfaction of the observation group , scores of health education ( 3.85 ±0.45 ) points, medical environment(3.79 ±0.53)points, psychological nursing(3.65 ±0.78)points, service attitude(3.38 ±0.56) points, operational care(3.49 ±0.29)points were higher than those of the control group (t=40.821,36.362, 23.801,24.972,43.465;P<0.01).Conclusions Based on the ICNSS, hierarchical management model can allocate human resources in ICU reasonably and effectively , improve quality of care for patients with traumatic brain in ICU , reduce the incidence nursing risk events and elevate patient and family satisfaction .

OBJECTIVETo investigate the neuroprotective effects of glycyrrhizin (Gly) as well as its effect on expression of high-mobility group box 1 (HMGB1) in rats after traumatic brain injury (TBI).

METHODSMale Sprague-Dawley rats were randomly divided into three groups: sham group, TBI group, and TBI+Gly group (n=36 per group). Rat TBI model was made by using the modified Feeney's method. In TBI+Gly group, Gly was administered intravenously at a dosage of 10 mg/kg 30 min after TBI. At 24 h after TBI, motor function and brain water content were evaluated. Meanwhile, HMGB1/HMGB1 receptors including toll-like receptor 4 (TLR4) and receptor for advanced glycation end products (RAGE)/nuclear factor-κB(NF-κB) signaling pathway and inflammatory cytokines in the injured brain tissues were detected using quantitative real-time polymerase chain reaction, western blot, electrophoretic mobility shift assay and enzyme-linked immunosorbent assay. Furthermore, HMGB1, RAGE and TLR4 immunohistochemistry and apoptosis were analyzed.

RESULTSBeam walking performance impairment and brain edema were significantly reduced in TBI+Gly group compared with TBI group; meanwhile, the over-expressions of HMGB1/HMGB1 receptors (TLR4 and RAGE)/NF-κB DNA-binding activity and inflammatory cytokines were inhibited. The percentages of HMGB1, RAGE and TLR4-positive cells and apoptotic cells were respectively 58.37% ± 5.06%, 54.15% ± 4.65%, 65.50% ± 4.83%, 52.02% ± 4.63% in TBI group and 39.99% ± 4.99%, 34.87% ± 5.02%, 43.33% ± 4.54%, 37.84% ± 5.16% in TBI+Gly group (all P<0.01 compared with TBI group).

CONCLUSIONGly can reduce secondary brain injury and improve outcomes in rat following TBI by down-regulation of HMGB1/HMGB1 receptors (TLR4 and RAGE)/NF-κB-mediated inflammatory responses in the injured rat brain.

Animals ; Brain Injuries ; drug therapy ; Glycyrrhizic Acid ; pharmacology ; therapeutic use ; HMGB1 Protein ; metabolism ; Male ; Neuroprotective Agents ; therapeutic use ; Rats ; Rats, Sprague-Dawley

Objective: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images. Materials and Methods: This study included 1079 patients (median age, 55 years; men, 718) from three hospitals, between January 2011 and January 2019, who were divided into a monocentric training set (n = 876; median age, 55 years; men, 582), five multicenter/multiparameter validation sets (n = 173; median age, 59 years; men, 118) with different slice thicknesses and image pixels, and a normal control set (n = 30; median age, 53 years; men, 18). Three classifications (fresh, healing, and old fracture) combined with fracture location (corresponding CT layers) were detected automatically and delivered in a structured report. Precision, recall, and F1-score were selected as metrics to measure the optimum CNN model. Detection/diagnosis time, precision, and sensitivity were employed to compare the diagnostic efficiency of the structured report and that of experienced radiologists. Results: A total of 25054 annotations (fresh fracture, 10089; healing fracture, 10922; old fracture, 4043) were labelled for training (18584) and validation (6470). The detection efficiency was higher for fresh fractures and healing fractures than for old fractures (F1-scores, 0.849, 0.856, 0.770, respectively, p = 0.023 for each), and the robustness of the model was good in the five multicenter/multiparameter validation sets (all mean F1-scores > 0.8 except validation set 5 [512 x 512 pixels; F1-score = 0.757]). The precision of the five radiologists improved from 80.3% to 91.1%, and the sensitivity increased from 62.4% to 86.3% with artificial intelligence-assisted diagnosis. On average, the diagnosis time of the radiologists was reduced by 73.9 seconds. Conclusion Our CNN model for automatic rib fracture detection could assist radiologists in improving diagnostic efficiency, reducing diagnosis time and radiologists’ workload.

Objective To investigate the value of a nomogram model based on contrast-enhanced CT radiomics in predicting the histological type of thymoma.Methods A total of 154 patients(101 in low-risk group and 53 in high-risk group)with thymoma confirmed by pathology were retrospectively selected.The cases were randomly divided into training set(n=107)and validation set(n=47)at a ratio of 7∶3.The three-dimensional volume of interest(VOI)of the whole lesion on the image from the arterial phase of contrast-enhanced CT was manually delineated,and the radiomics features were extracted.Based on the selected radiomics features,the radiomics model was constructed and the model Radiomics score(Radscore)was calculated.Clinical risk factors were screened to construct a clinical model,and a nomogram model was constructed by fusing Radscore and clinical risk factors.The receiver operating characteristic(ROC)curve,area under the curve(AUC),accuracy,sensitivity and specificity were compared to analyze the predictive efficacy and difference of different models for high-risk and low-risk thymoma.The decision curve and calibration curve were drawn to evaluate the clinical value and fitting performance of the nomogram model.Results Eleven radiomics features were selected to construct the radiomics model,and five clinical risk factors[myasthenia gravis(MG),morphology,border,surrounding tissue invasion and CT value in arterial phase]were used to construct the clinical model.In the training set,the AUC of the nomogram model(0.88)was higher than that of the radiomics model(0.80)and the clinical model(0.79),and the difference was statistically significant(Z=2.233,2.713,P=0.026,0.007,respectively).In the validation set,the AUC of the nomogram model was higher than that of the radiomics and clinical models,but the difference was not statistically significant.The calibration curve showed that the nomogram model had good fitting performance,and the decision curve showed that the nomogram model had high clinical benefit.Conclusion The nomogram model based on contrast-enhanced CT can effectively predict high-risk and low-risk thymoma,which is helpful to guide clinicians to make relevant decisions.

Long non-coding RNA (lncRNA) refer to transcripts longer than 200 nucleotides that have a low coding potential. Autophagy,a unique life phenomenon of eukaryotic cells,removes excess or damaged organelles during cell growth and development and plays a key role in maintaining homeostasis. As a key regulator of cellular metabolism,lncRNA are involved in disease treatment by regulating autophagy. This article summarizes the role of lncRNA in the treatment of cancer,cardiovascular and cerebrovascular diseases,neurodegenerative diseases,and bacterial infections and analyzes the molecular mechanisms of lncRNA in regulating autophagy,along with prospects of its applications in other areas.
Autophagy ; Bacterial Infections ; therapy ; Cardiovascular Diseases ; therapy ; Cell Proliferation ; Cerebrovascular Disorders ; therapy ; Humans ; Neoplasms ; therapy ; Neurodegenerative Diseases ; therapy ; RNA, Long Noncoding ; genetics

OBJECTIVE: To study the effect of Tai Chi (TC) and resistance training (RT) with different intensity on the cancer-related fatigue (CRF) and quality of life (QoL) of middle-aged and elderly cancer patients. METHODS: Totally 120 cancer patients were enrolled and randomly assigned to 4 groups by a random number table, including TC group, high-intensity 60% one repetition maximum (1-RM) RT group (HIRT), low-intensity (30% 1-RM) RT group (LIRT) and control group, 30 patients in each group. Participants in the TC group received 24-form simplified Yang-style TC training at a frequency of 40 min per day, 3 days per week for 12 weeks. Patients in the two RT groups received 10 sessions, 6 designated movements per day, 3 days per week for 12 weeks. The 1-RM of 6 muscle groups, fat mass (FM), lean body mass (LBM), along with the scores of Brief Fatigue Inventory (BFI), QoL questionnaire for Chinese cancer patients receiving chemobiotherapy (QLQ-CCC), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9) and Pittsburgh Sleep Quality Index (PSQI) were measured before and after training. The adverse effect was also observed. RESULTS: After 12-week intervention, patients in both TC and RT groups showed significant improvements in CRF and QLQ-CCC compared to pre-treatment (P<0.05). Compared with the LIRT and TC groups, patients in the HIRT group improved more significantly in increasing muscle strength and LBM, and reducing in FM (P<0.05). Patients in the TC group significantly increased in lower limb muscle strength compared with the LIRT group (P<0.05). In addition, patients in the TC group showed more significant improvements in scores of GAD-7, PHQ-9 and PSQI than 2 RT groups (P<0.05). CONCLUSIONS TC and RT, both low- and high-intensity training, can significantly increase muscle strength, reduce CRF and improve QoL in the middle-aged and elderly cancer patients. TC has a better effect than RT in terms of sleep quality and mental health. The long-term application is needed to substantiate the effect of TC as an alternative exercise in cancer patients.

OBJECTIVES: The waiting room for surgery is an area set up to improve the surgical turnover rate, but the waiting time for surgery is uncertain. Patients are prone to negative emotions that affect their physiological state during waiting time. This study aims to explore the effect of Mandala painting intervention based on Mandala-self theory on the emotion and physiological state of patients waiting before operation. METHODS: The patients in the control group ( RESULTS: Diastolic pressure, heart rate, and happiness and excitement showed no statistical significance in the time effect, intervention effect, and interaction between the 2 factors (all CONCLUSIONS The application of Mandala painting in the operation waiting room is feasible and can effectively regulate the patients' negative mood and systolic pressure, as well as shorten the waiting time of perception.
Anxiety ; Emotions ; Heart Rate ; Humans ; Pain ; Waiting Rooms

OBJECTIVE To explore the improvement effect of rape pollen on androgenic alopecia mice and its mechanism. METHODS The blank group, model group, positive drug group and administration group were set up, the androgenic alopecia mice model was induced by applying 0.2% testosterone after hair removal. The hair growth rate of mice were observed by using 5% minoxidil as positive drug and 0.4 g·mL-1 rape pollen oil solution as administration group. The hair quality and follicle condition of mice were observed by scanning electron microscope(SEM) and HE staining of skin tissue, respectively. The level of VEGF and bFGF in skin were detected by immunofluorescence staining and Western blotting, while the level of serum sex hormones and reactive oxygen species were detected by ELISA. RESULTS Rape pollen could significantly promote the hair growth in mice and improve the state of mice hair scales compared with model group. Mechanism exploration experiments showed that rape pollen could not promote hair regeneration of mice by regulating hormone levels or anti-oxidative stress. However, rape pollen could increase the expression of bFGF and VEGF related to skin angiogenesis at the modeling site. CONCLUSION Rape pollen can promote hair regeneration in androgenic alopecia mice. Its mechanism may be that it promotes perifollicular vascular regeneration by increasing bFGF and VEGF level.