1.The Mechanism of Blue Light in Inactivating Microorganisms and Its Applications in The Food and Medical Fields
Ruo-Hong BI ; Rong-Qian WU ; Yi LÜ ; Xiao-Fei LIU
Progress in Biochemistry and Biophysics 2025;52(5):1219-1228
Blue light inactivation technology, particularly at the 405 nm wavelength, has demonstrated distinct and multifaceted mechanisms of action against both Gram-positive and Gram-negative bacteria, offering a promising alternative to conventional antibiotic therapies. For Gram-positive pathogens such as Bacillus cereus, Listeria monocytogenes, and methicillin-resistant Staphylococcus aureus (MRSA), the bactericidal effects are primarily mediated by endogenous porphyrins (e.g., protoporphyrin III, coproporphyrin III, and uroporphyrin III), which exhibit strong absorption peaks between 400-430 nm. Upon irradiation, these porphyrins are photoexcited to generate cytotoxic reactive oxygen species (ROS), including singlet oxygen, hydroxyl radicals, and superoxide anions, which collectively induce oxidative damage to cellular components. Early studies by Endarko et al. revealed that (405±5) nm blue light at 185 J/cm² effectively inactivated L. monocytogenes without exogenous photosensitizers, supporting the hypothesis of intrinsic photosensitizer involvement. Subsequent work by Masson-Meyers et al. demonstrated that 405 nm light at 121 J/cm² suppressed MRSA growth by activating endogenous porphyrins, leading to ROS accumulation. Kim et al. further elucidated that ROS generated under 405 nm irradiation directly interact with unsaturated fatty acids in bacterial membranes, initiating lipid peroxidation. This process disrupts membrane fluidity, compromises structural integrity, and impairs membrane-bound proteins, ultimately causing cell death. In contrast, Gram-negative bacteria such as Salmonella, Escherichia coli, Helicobacter pylori, Pseudomonas aeruginosa, and Acinetobacter baumannii exhibit more complex inactivation pathways. While endogenous porphyrins remain central to ROS generation, studies reveal additional photodynamic contributors, including flavins (e.g., riboflavin) and bacterial pigments. For instance, H. pylori naturally accumulates protoporphyrin and coproporphyrin mixtures, enabling efficient 405 nm light-mediated inactivation without antibiotic resistance concerns. Kim et al. demonstrated that 405 nm light at 288 J/cm² inactivates Salmonella by inducing genomic DNA oxidation (e.g., 8-hydroxy-deoxyguanosine formation) and disrupting membrane functions, particularly efflux pumps and glucose uptake systems. Huang et al. highlighted the enhanced efficacy of pulsed 405 nm light over continuous irradiation for E. coli, attributing this to increased membrane damage and optimized ROS generation through frequency-dependent photodynamic effects. Environmental factors such as temperature, pH, and osmotic stress further modulate susceptibility, sublethal stress conditions (e.g., high salinity or acidic environments) weaken bacterial membranes, rendering cells more vulnerable to subsequent ROS-mediated damage. The 405 nm blue light inactivates drug-resistant Pseudomonas aeruginosa through endogenous porphyrins, pyocyanin, and pyoverdine, with the inactivation efficacy influenced by bacterial growth phase and culture medium composition. Intriguingly, repeated 405 nm exposure (20 cycles) failed to induce resistance in A. baumannii, with transient tolerance linked to transient overexpression of antioxidant enzymes (e.g., superoxide dismutase) or stress-response genes (e.g., oxyR). For Gram-positive bacteria, porphyrin abundance dictates sensitivity, whereas in Gram-negative species, membrane architecture and accessory pigments modulate outcomes. Critically, ROS-mediated damage is nonspecific, targeting DNA, proteins, and lipids simultaneously, thereby minimizing resistance evolution. The 405 nm blue light technology, as a non-chemical sterilization method, shows promise in medical and food industries. It enhances infection control through photodynamic therapy and disinfection, synergizing with red light for anti-inflammatory treatments (e.g., acne). In food processing, it effectively inactivates pathogens (e.g., E. coli, S. aureus) without altering food quality. Despite efficacy against multidrug-resistant A. baumannii, challenges include device standardization, limited penetration in complex materials, and optimization of photosensitizers/light parameters. Interdisciplinary research is needed to address these limitations and scale applications in healthcare, food safety, and environmental decontamination.
2.Mechanism of Yantiao Prescription in Treating Lipopolysaccharide-induced Acute Lung Injury Based on Arachidonic Acid Metabolic Pathways
Pengcheng LI ; Tianyang CHEN ; Rong FANG ; Anna ZHANG ; Sijia WU ; Wei LIU ; Qian WANG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(2):101-110
ObjectiveTo clarify the anti-inflammatory and lung-protective effects of Yantiao prescription on lipopolysaccharide (LPS)-induced acute lung injury (ALI), and to explore the impact of Yantiao prescription on the metabolic pathways of arachidonic acid (AA) in vivo. MethodsThirty male C57BL/6J mice were randomly divided into the following groups based on body weight: normal group, model group, dexamethasone group (2 mg·kg-1), low-dose Yantiao prescription group (18 g·kg-1), and high-dose Yantiao prescription group (36 g·kg-1), with 6 mice in each group. The ALI mouse model was established by intraperitoneal injection of LPS. The treatment groups received oral gavage once a day for 7 consecutive days, and serum and lung tissue were collected at the end of the experiment. The content of pro-inflammatory cytokines tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) in serum was detected by enzyme-linked immunosorbent assay (ELISA). Hematoxylin-eosin (HE) staining was used to assess lung tissue pathology. The wet/dry weight ratio (W/D) and myeloperoxidase (MPO) activity in lung tissue were measured. The content of AA metabolites in serum and lung tissue was measured by liquid chromatography triple quadrupole-mass spectrometry (LC-MS/MS). ResultsCompared with the conditions in the normal group, the content of serum pro-inflammatory cytokines TNF-α, IL-1β, and IL-6 in the model group was significantly increased (P<0.01). The alveolar structure in mice was severely damaged, with markedly thickened alveolar walls and extensive inflammatory cell infiltration. The W/D ratio and MPO activity in lung tissue were significantly increased (P<0.01). The content of AA metabolites, including prostaglandin D2 (PGD2), prostaglandin E2 (PGE2), 11(S)-hydroxy-eicosatetraenoic acid [11(S)-HETE], and 5-hydroxy-eicosatetraenoic acid (5-HETE) in serum and lung tissue was significantly increased (P<0.05), while the content of 11,12-epoxyeicosatrienoic acid (11,12-EET) and 14,15-epoxyeicosatrienoic acid (14,15-EET) in serum was significantly decreased (P<0.01). Compared with the results in the model group, the content of serum pro-inflammatory cytokines TNF-α, IL-1β, and IL-6 in the dexamethasone group, low-dose Yantiao prescription group, and high-dose Yantiao prescription group was significantly reduced (P<0.05). Mild thickening of alveolar walls, scattered inflammatory cell infiltration, and relatively intact tissue structure with improved alveolar architecture were observed. The W/D ratio and MPO activity in lung tissue were significantly reduced (P<0.01). The content of AA metabolites PGD2, PGE2, 11(S)-HETE, and 5-HETE in serum from the dexamethasone group was significantly decreased (P<0.05), while the content of 14,15-EET in serum significantly increased (P<0.01), and the content of 5-HETE in lung tissue significantly decreased (P<0.01). In the low-dose and high-dose Yantiao prescription groups, the content of AA metabolites PGD2, PGE2, 11(S)-HETE, and 5-HETE in serum and lung tissue was significantly decreased (P<0.05), while the content of 11,12-EET in both serum and lung tissue was significantly increased (P<0.05). ConclusionYantiao prescription has significant protective effects against LPS-induced ALI, which are related to its regulation of AA metabolic pathways in vivo.
3.Effects of donor gender on short-term survival of lung transplant recipients: a single-center retrospective cohort study
Xiaoshan LI ; Shiqiang XUE ; Min XIONG ; Rong GAO ; Ting QIAN ; Lin MAN ; Bo WU ; Jingyu CHEN
Organ Transplantation 2025;16(4):591-598
Objective To evaluate the effect of donor gender on short-term survival rate of lung transplant recipients. Methods A retrospective analysis was conducted on the data of 1 066 lung transplant recipients. The log-rank test was used to evaluate the differences in short-term fatality among different donor gender groups and donor-recipient gender combination groups. Multivariate Cox regression, propensity score (PS) regression, and propensity score matching (PSM) were employed to control for confounding factors and further assess the differences in fatality. Subgroup analyses were also performed based on donor gender. Results Multivariate Cox regression analysis showed no statistically significant differences in fatality at 30 days, 1 year, 2 years and 3 years postoperatively between male and female donor groups (all P>0.05). After PS regression and PSM, univariate Cox regression analysis indicated that recipients from female donors had a higher fatality at 2 years postoperatively compared to those from male donors, with hazard ratios (95% confidence intervals) of 1.29 (1.01-1.65) and 1.36 (1.03-1.80) respectively. Multivariate Cox regression analysis also revealed no statistically significant differences in fatality at various follow-up time points among different donor-recipient gender combination groups (all P>0.05). Subgroup analyses based on donor sex showed no statistically significant differences in fatality among recipients of different gender within either male or female donor groups (all P>0.05). Conclusions Female donors may reduce the short-term postoperative survival rate of lung transplant recipients, but this negative impact is not sustainable in the long term. At present, there is no evidence to support the inclusion of sex as a factor in lung allocation rules.
4.Multi-task learning for automated classification of hypertensive heart disease and hypertrophic cardiomyopathy using native T1 mapping
Honglin ZHU ; Yufan QIAN ; Xiao CHANG ; Yan ZHOU ; Jian MA ; Rong SUN ; Shengdong NIE ; Lianming WU
International Journal of Biomedical Engineering 2024;47(4):342-348
Objective:To automatically classify hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) based on mul-titask learning algorithm using native T1 mapping images.Methods:A total of 203 patients admitted to Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to December 2021 were enrolled, including 53 patients with HHD, 121 patients with HCM, and 29 patients with normal control (NC). Native T1 mapping images of all enrolled patients were acquired using MRI and processed by a multi-task learning algorithm. The classification performance of each model was validated using ten-fold crossover, confusion matrix, and receiver operator characteristic (ROC) curves. The Resnet 50 model based on the original images was established as a control.Results:The ten-fold crossover validation results showed that the MTL-1 024, MTL-64, and MTL-all models showed better performance in terms of area under the curve (AUC), accuracy, sensitivity, and specificity compared to the Resnet 50 model. In the classification task, the MTL-64 model showed the best performance in terms of AUC (0.942 1), while the MTL-all model reached the highest value in terms of accuracy (0.852 2). In the segmentation task, the MTL-64 model achieved the best results with the Dice coefficient (0.879 7). The confusion matrix plot showed that the MTL model outperforms the Resnet 50 model based on the original image in terms of overall performance. The ROC graphs of all MTL models were significantly higher than the original image input Resnet 50 model.Conclusions:Multi-task learning-based native T1 mapping images are effective for automatic classification of HHD and HCM.
5.Development of A Predictive Model for Adverse Inhalation Risk in COPD Inhaler Therapy Using Machine Learning Algorithms
Lijuan ZHOU ; Xianxiu WEN ; Haiyan WU ; Rong JIANG ; Xuan WANG ; Li GOU ; Qin LYU ; Dingding ZHANG ; Qian HUANG ; Xingwei WU
Herald of Medicine 2024;43(9):1509-1518
Objective To construct and validate a risk prediction model for poor inhalation in chronic obstructive pulmonary disease(COPD)patients receiving inhaler therapy,providing a decision support tool for personalized prevention of poor inhalation.Methods A cross-sectional study was conducted to collect data related to COPD patients receiving inhaler therapy,forming a dataset.The dataset was randomly divided into a training set and a test set in a ratio of 4∶1.Four different methods for missing value imputation,3 methods for variable feature selection,and 18 machine learning algorithms were employed to successfully construct 216 models on the training set.The monte carlo simulation method was used for resampling in the test set to validate the models,with the area under curve(AUC),accuracy,precision,recall,and F1 score used to evaluate model performance.The optimal model was selected to build the poor inhalation prediction platform.Results A study involving 308 patients with COPD found that 135(43.8%)were at risk of adverse inhalation.Using 33 predictor variables,216 risk prediction models were developed.Of these models,the ensemble learning algorithm yielded the highest average AUC of 0.844,with a standard deviation of 0.058[95%CI=(0.843,0.845)].The differences in predictive performance among the 216 models were statistically significant(P<0.01).Under the ensemble learning algorithm,adherence to inhaler use(38.087 4%),inhaler satisfaction(25.680 1%),literacy(24.031 3%),number of inhalers(5.482 3%),age(4.204 5%)and number of acute exacerbations in the past year(2.184 7%)contributed most to the predictive model.The model exhibited superior performance,with an AUC of 0.869 3,an accuracy of 83.87%,a precision of 86.96%,a recall of 74.07%,and an F1 score of 0.8.Conclusion This study has developed a predictive model for poor inhalation risk in COPD inhaler therapy patients using machine learning algorithms,which exhibits strong predictive capabilities and holds potential clinical application value.
6.Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome (version 2024)
Junyu WANG ; Hai JIN ; Danfeng ZHANG ; Rutong YU ; Mingkun YU ; Yijie MA ; Yue MA ; Ning WANG ; Chunhong WANG ; Chunhui WANG ; Qing WANG ; Xinyu WANG ; Xinjun WANG ; Hengli TIAN ; Xinhua TIAN ; Yijun BAO ; Hua FENG ; Wa DA ; Liquan LYU ; Haijun REN ; Jinfang LIU ; Guodong LIU ; Chunhui LIU ; Junwen GUAN ; Rongcai JIANG ; Yiming LI ; Lihong LI ; Zhenxing LI ; Jinglian LI ; Jun YANG ; Chaohua YANG ; Xiao BU ; Xuehai WU ; Li BIE ; Binghui QIU ; Yongming ZHANG ; Qingjiu ZHANG ; Bo ZHANG ; Xiangtong ZHANG ; Rongbin CHEN ; Chao LIN ; Hu JIN ; Weiming ZHENG ; Mingliang ZHAO ; Liang ZHAO ; Rong HU ; Jixin DUAN ; Jiemin YAO ; Hechun XIA ; Ye GU ; Tao QIAN ; Suokai QIAN ; Tao XU ; Guoyi GAO ; Xiaoping TANG ; Qibing HUANG ; Rong FU ; Jun KANG ; Guobiao LIANG ; Kaiwei HAN ; Zhenmin HAN ; Shuo HAN ; Jun PU ; Lijun HENG ; Junji WEI ; Lijun HOU
Chinese Journal of Trauma 2024;40(5):385-396
Traumatic supraorbital fissure syndrome (TSOFS) is a symptom complex caused by nerve entrapment in the supraorbital fissure after skull base trauma. If the compressed cranial nerve in the supraorbital fissure is not decompressed surgically, ptosis, diplopia and eye movement disorder may exist for a long time and seriously affect the patients′ quality of life. Since its overall incidence is not high, it is not familiarized with the majority of neurosurgeons and some TSOFS may be complicated with skull base vascular injury. If the supraorbital fissure surgery is performed without treatment of vascular injury, it may cause massive hemorrhage, and disability and even life-threatening in severe cases. At present, there is no consensus or guideline on the diagnosis and treatment of TSOFS that can be referred to both domestically and internationally. To improve the understanding of TSOFS among clinical physicians and establish standardized diagnosis and treatment plans, the Skull Base Trauma Group of the Neurorepair Professional Committee of the Chinese Medical Doctor Association, Neurotrauma Group of the Neurosurgery Branch of the Chinese Medical Association, Neurotrauma Group of the Traumatology Branch of the Chinese Medical Association, and Editorial Committee of Chinese Journal of Trauma organized relevant experts to formulate Chinese expert consensus on the diagnosis and treatment of traumatic supraorbital fissure syndrome ( version 2024) based on evidence of evidence-based medicine and clinical experience of diagnosis and treatment. This consensus puts forward 12 recommendations on the diagnosis, classification, treatment, efficacy evaluation and follow-up of TSOFS, aiming to provide references for neurosurgeons from hospitals of all levels to standardize the diagnosis and treatment of TSOFS.
7.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
8. The regulatory mechanism of physiological sleep-wake
Wei-Jie LU ; Kai LIU ; Xin-Ke ZHAO ; Qian-Rong LI ; Ying-Dong LI ; Guo-Tai WU
Chinese Pharmacological Bulletin 2024;40(3):421-426
This paper explains the mechanism of the mutual switching between physiological sleep and wakefulness from the aspects of the sleep circadian system and the sleep homeostasis system. In the circadian rhythm system, with the suprachiasmatic nucleus as the core, the anatomical connections between the suprachiasmatic nucleusand various systems that affect sleep are summarized, starting from the suprachiasmatic nucleus, passing through the four pathways of the melatonin system, namely, subventricular area of the hypothalamus, the ventrolateral nucleus of the preoptic area, orexin neurons, and melatonin, then the related mechanisms of their regulation of sleep and wakefulness are expounded. In the sleep homeostasis system, with adenosine and prostaglandin D2 as targets, the role of hypnogen in sleep arousal mechanisms in regulation is also expounded.
9.Relationship between perioperative nutrition risk and venous thromboembolism in patients with hip fracture
Miao HE ; Rong PENG ; Jinshan TIAN ; Xuan LIU ; Lei DENG ; Qian WU
Tianjin Medical Journal 2024;52(1):97-101
Objective To investigate the relationship between perioperative nutritional risk and venous thromboembolism(VTE)in patients with hip fracture.Methods A total of 379 patients with unilateral hip fracture due to fall or sprain who underwent elective surgery were selected and divided into the non-VTE group(246 cases)and the VTE group(133 cases)according to whether or not VTE occurred during perioperative period.Basic information,surgical and anesthesia records,nutritional risk related indicators,inflammatory indicators and outcome indicators of patients were collected.Multiple Logistic regression was used to analyze the independent influencing factors of perioperative VTE.Receiver operating characteristics(ROC)curves were used to assess the ability to discriminate independent factors,and DeLong test was used to compare area under the curve(AUC).Results Compared with the non-VTE group,the proportion of patients in the VTE group was older,complicated with hypertension,the time to visit hospital more than 2 days,received(hollow/intramedullary nail)internal fixation,perioperative blood transfusion,ASA gradeⅢtoⅣ,and higher nutritional risk screening Table(NRS)-2002 scores on admission and higher postoperative neutrophil/lymphocyte ratio(NLR).Nutritional prognosis index(PNI),hemoglobin(Hb)and prealbumin(PA)at admission and after operation were lower in the VTE group than those in the non-VTE group(P<0.01).Multivariate Logistic regression analysis showed that PNI was decreased,NRS-2002 scores and PA were increased,and the time of visit hospital was>2 days after internal fixation.American College of Anesthesiologists(ASA)gradesⅢ-Ⅳwere independent risk factors for perioperative VTE of hip fracture(P<0.05).ROC curve analysis showed that the AUC(95%CI)of NRS-2002 at admission was 0.739(0.692-0.783),and that of PNI at admission was 0.720(0.672-0.765),both of which were better than other influencing factors(P<0.01).Conclusion NRS-2002 and PNI are good predictors of perioperative VTE in patients with hip fracture.
10.Exploring the Central Mechanism of Acupoint Catgut Embedding Therapy in Treating Rats with Diet-Induced Obesity Based on Hypothalamic LepR-Mediated JAK2/STAT3 Pathway
Rong ZHANG ; Xian-Ming WU ; Shuo YANG ; Qian MO
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(3):703-708
Objective To observe the effects of acupoint catgut embedding therapy on body mass,lipid metabolism,serum leptin and mRNA and protein expressions of hypothalamic leptin receptor(LepR)-mediated Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)pathway in rats with diet-induced obesity(DIO).Methods Forty male SD rats were randomly divided into 10 in normal group and 30 in modeling group.A high-fat diet was used to establish the DIO rat model.After successful modeling,the modeled rats were randomly divided into the model group,the acupoint catgut embedding group and the acupoint catgut embedding + AG490(JAK2/STAT3 pathway blocker)group,with 10 rats in each group.The acupoint catgut embedding group and the acupoint catgut embedding + AG490 group were embedded on day(s)1,8,15 and 22 after successful modeling,the acupoints were selected from the Zhongwan(RN12),Shuidao(ST28),Tianshu(ST25),Pishu(BL20),Weishu(BL21),Sanjiaoshu(BL22)with a total of 4 treatments,and the acupoint catgut embedding + AG490 group was injected intraperitoneally with 1 mg/kg of AG490 every day during the treatment period;the normal group and the model group were only grasped and fixed.Body mass was measured before and after treatment.Lipid metabolism indexes of triglyceride(TG),total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),high-density lipoprotein cholesterol(HDL-C),and serum leptin levels were measured after treatment,and the mRNA expressions of hypothalamus LepR,JAK2 and STAT3 were detected by real-time quantitative polymerase chain reaction(RT-PCR),and the protein expressions of hypothalamus LepR,JAK2 and STAT3 were detected by Western Blot.Results Before treatment,compared with the normal group,the body mass of the model group,the acupoint catgut embedding group,and the acupoint catgut embedding+AG490 group were all elevated(P<0.01),and compared with the model group,there was no significant difference in the body mass between the acupoint catgut embedding group and the acupoint catgut embedding+AG490 group(P>0.05).After treatment,compared with the normal group,body mass,leptin and TG,TC,LDL-C levels were increased,and mRNA and protein expression levels of LepR,JAK2,STAT3 were decreased in the model group(all P<0.01);compared with the model group,body mass,leptin and TG,TC,LDL-C levels were decreased in the acupoint catgut embedding group,and mRNA and protein levels of LepR,JAK2,STAT3 were increased in the acupoint catgut embedding + AG490 group(all P<0.01);compared with the acupoint catgut embedding + AG490 group,the body mass,leptin and TG,TC,LDL-C levels were decreased,and mRNA and protein levels of LepR,JAK2,STAT3 were increased in the acupoint catgut embedding group(P<0.05 or P<0.01).Conclusion Acupoint catgut embedding has a good effect on weight loss and lipid reduction in DIO rats,and its central mechanism may be related to the down-regulation of serum leptin level and activation of hypothalamic LepR-mediated JAK2/STAT3 pathway.

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