OBJECTIVETo study the effects of intense electromagnetic pulse(EMP) on the biological effects of mitochondrial membrane.

METHODRat liver mitochondrial suspension was exposed to EMP at 60 kV/m level. The changes of membrane lipid fluidity and membrane protein mobility were detected by ESR and spin label technique. Malondialdehyde(MDA) was detected by spectrophotometer.

RESULTSThe mobility of membrane protein decreased significantly(P < 0.05). Correlation time (tau c) of control group was (0.501 +/- 0.077) x 10(-9)s, and tau c of EMP group was (0.594 +/- 0.049) x 10(-9)s, indicating that the mobility of protein was restricted. The fluidity of mitochondrial membrane increased significantly(P < 0.05) at the same time. Order parameter(S) of mitochondrial membrane lipid in control group was 0.63 +/- 0.01, while S of EMP group was 0.61 +/- 0.01(P < 0.05). MDA decreased significantly.

CONCLUSIONThe mobility and lipid peroxidation of mitochondrial membrane may be disturbed after EMP exposure.

Animals ; Electromagnetic Phenomena ; Lipid Peroxidation ; radiation effects ; Membrane Fluidity ; radiation effects ; Mitochondria, Liver ; metabolism ; radiation effects ; Mitochondrial Membranes ; metabolism ; radiation effects ; Rats

Objective To investigate the efficacy of drug-coated balloon in treatment of femoropopliteal artery occlusive disease.Methods The clinical data of 49 patients with femoropopliteal artery occlusive disease from Feb 2016 to Oct 2017 were retrospectively analyzed.25 cases underwent drugcoated balloon treatment (DCB group),and 24 cases received plain balloon angioplasty (POBA group).Results The procedures were successful in all cases.There were no amputation or death occurred.In DCB group compared to POBA group,the patency rate at postoperative 3 months were not significantly different (96.0％ vs.87.5％,P ＞ 0.05),while it was significantly different at postoperative 6 and 12 months (88.0％ vs.66.7％;80.0％ vs.50.0％,both P ＜0.05).Minimal lumen diameter (MLD) changes and late lumen loss(LLL):The MLD in preoperative,immediate postoperative was not statistically significant between the three group(P ＞ 0.05).At 6 months and 12 months after operation,MLD of DCB group was higher than POBA group (P ＜ 0.05).At 12 months after surgery,LLL in DCB group was significantly lower than the POBA group (P ＜ 0.05).Conclusion DCB is the effective method to treat femoropopliteal artery occlusive disease,which has better short and mid-term efficacy than POBA.

Objective To study the incidence of acute renal injury ( AKI), related clinical risk factors and recent prognosis in critically ill neonates. Methods The study was a retrospective analysis from January 2016 to December 2016 in the neonatal care department of General Hospital of Shenyang Military Region and the First Hospital Affiliated to China Medical University. We collected the perinatal data,clinical data,biochemical indexes and short-term prognosis. Logistic regression analysis was used to identify the risk factors. Results The incidence of AKI in critically ill neonates was 13. 11%(32/244),and the probability of poor prognosis was 62. 50%(20/32). Gestational age,birth weight,1 min and 5 min Apgar score,con-sciousness,mechanical ventilation,blood pH,blood glucose,blood urea nitrogen,white blood cell and red cell distribution width were the related factors for AKI in critically ill neonates. Logistic regression analysis showed that consciousness(OR=4. 542,95%CI 1. 176-17. 539,P=0. 028),mechanical ventilation(OR=0.267,95%CI 0.101-0.705,P = 0.008),5 min Apgar score(OR = 0.750,95% CI 0.605-0.930,P =0. 009),blood urea nitrogen value(OR=1. 074,95%CI 1. 006-1. 146,P=0. 030)were identified as the inde-pendent risk factors of AKI. ConclusionThe incidence of AKI is high in critically ill neonates. Consciousness,mechanical ventilation,5 min Apgar score,blood urea nitrogen value are identified as independent risk factors for AKI.

This paper summarized the clinical experience of using the method of “returning fire to its origin” for treatment of paroxysmal sympathetic hyperactivity （PSH）. According to the causes and clinical characteristics of PSH， the author believes that the deficiency of kidney qi， and the loss of yin and yang are the basis of the pathogenesis of PSH. Fright causes qi to be chaotic as the triggering mechanism of PSH. The key mechanism of PSH is that the deficiency yang with upper manifestation， and the fire does not return to its origin. The treatment should be nourishing yin and astringing yang， by taking modified Yinhuo Decoction （引火汤） internally， and receiving warm moxibustion as the first choice externally with selected acupoints Guanyuan （CV 4）， Mingmen （GV 4）， and bilateral Yongquan （KI 1）； For prevention， attention should be paid to take care of stomach qi， support healthy qi， and cultivate original qi.

Objective:To explore the practical application and clinical significance of modified grading system for Gastrointestinal Symptom Rating Scale (GSRS) scores in evaluating long-term postoperative gastrointestinal dysfunction (PGID) in patients after colon cancer surgery.Methods:A retrospective analysis was conducted on the case data of 122 patients who underwent right hemicolectomy for colorectal cancer at Beijing Friendship Hospital, Capital Medical University from September 2021 to September 2022. Among these patients, 69 were males (56.6%), and 53 were females (43.4%). The median age was 66.5 years, and the body mass index was (24.4±3.3) kg/m 2. The main observe indiator was GSRS scores of patients. The measurement data of normal distribution were represented as mean±standard deviation( ± s), and intergroup comparisons were conducted using ANOVA. The measurement data of non-normal distribution were expressed as the median (interquartile distance) [ M( Q1, Q3)], the Kruskal-Wallis H test was employed. Unordered count data comparisons were performed using the χ2 test, while comparisons for ordered count data between groups were conducted using the Kruskal-Wallis H test. GSRS scores were represented using density plots, and the scores were categorized into five symptom groups, presented using radar charts to illustrate the distribution of each symptom group. Results:Among the 122 patients, the most common long-term PGID syndromes was dyspepsia, followed by abdominal pain, diarrhea, and constipation. GSRS score data in the study population exhibited a nearly trimodal trend. Based on the overall data trend, the GSRS scale was refined, with cut-off values of 20 and 30, categorizing patients with right-sided colon cancer into low-risk, moderate-risk, and high-risk groups for quantifying the severity of long-term PGID. In terms of gender distribution, the differences among the three groups was statistically significant ( P=0.031), suggesting that males may be more susceptible to long-term PGID. However, there were no significant differences among the three groups concerning age, tumor location, surgical approach, anastomotic technique, lymph node dissection, pathological staging, adjuvant chemotherapy, and other factors. Conclusions:The modified grading system for GSRS scores aligns with the distribution characteristics of postoperative gastrointestinal function in colorectal cancer patients. It can quantify the risk of long-term PGID, allowing for a graded management approach to improve the postoperative quality of life for patients.

A fundamental challenge that arises in biomedicine is the need to characterize compounds in a relevant cellular context in order to reveal potential on-target or off-target effects. Recently, the fast accumulation of gene transcriptional profiling data provides us an unprecedented opportunity to explore the protein targets of chemical compounds from the perspective of cell transcriptomics and RNA biology. Here, we propose a novel Siamese spectral-based graph convolutional network (SSGCN) model for inferring the protein targets of chemical compounds from gene transcriptional profiles. Although the gene signature of a compound perturbation only provides indirect clues of the interacting targets, and the biological networks under different experiment conditions further complicate the situation, the SSGCN model was successfully trained to learn from known compound-target pairs by uncovering the hidden correlations between compound perturbation profiles and gene knockdown profiles. On a benchmark set and a large time-split validation dataset, the model achieved higher target inference accuracy as compared to previous methods such as Connectivity Map. Further experimental validations of prediction results highlight the practical usefulness of SSGCN in either inferring the interacting targets of compound, or reversely, in finding novel inhibitors of a given target of interest.
Drug Delivery Systems ; Proteins ; Transcriptome