BACKGROUND:Flap transplantation technique is a commonly used surgical procedure for the treatment of severe tissue defects,but postoperative flap necrosis is easily triggered by ischemia-reperfusion injury.Therefore,it is still an important research topic to improve the survival rate of transplanted flaps. OBJECTIVE:To review the pathogenesis and latest treatment progress of flap ischemia-reperfusion injury. METHODS:CNKI,WanFang Database and PubMed database were searched for relevant literature published from 2014 to 2024.The search terms used were"flap,ischemia-reperfusion injury,inflammatory response,oxidative stress,Ca2+overload,apoptosis,mesenchymal stem cells,platelet-rich plasma,signaling pathways,shock wave,pretreatment"in Chinese and English.After elimination of irrelevant literature,poor quality and obsolete literature,77 documents were finally included for review. RESULTS AND CONCLUSION:Flap ischemia/reperfusion injury may be related to pathological factors such as inflammatory response,oxidative stress response,Ca2+overload,and apoptosis,which can cause apoptosis of vascular endothelial cells,vascular damage and microcirculation disorders in the flap,and eventually lead to flap necrosis.Studies have found that mesenchymal stem cell transplantation,platelet-rich plasma,signaling pathway modulators,shock waves,and pretreatment can alleviate flap ischemia/reperfusion injuries from different aspects and to varying degrees,and reduce the necrosis rate and necrosis area of the grafted flap.Although there are many therapeutic methods for skin flap ischemia/reperfusion injury,a unified and effective therapeutic method has not yet been developed in the clinic,and the advantages and disadvantages of various therapeutic methods have not yet been compared.Most of the studies remain in the stage of animal experiments,rarely involving clinical observations.Therefore,a lot of research is required in the future to gradually move from animal experiments to the clinic in order to better serve the clinic.

Traditional Chinese medicine （TCM） has unique advantages in alleviating the symptoms of diabetic kidney disease （DKD） and slowing its progression. However， traditional clinical trials often use the occurrence of end-stage renal disease as the end point， requiring long-term follow-up， which increases trial complexity and costs， thereby limiting the feasibility of TCM clinical studies. This paper suggested that in clinical trials of TCM for DKD， both the estimated glomerular filtration rate （eGFR） change rate （≥30%） and eGFR slope can serve as potential surrogate outcome measures. If the intervention course is short （＜1 year）， the eGFR change rate （≥30%） is recommended as a surrogate outcome measure， whereas in long-term interventional studies （≥1 year）， the eGFR slope may be more appropriate. Furthermore， based on biochemical indicators such as eGFR slope and urinary albumin-to-creatinine ratio （UACR） change rate， integrating TCM symptom evaluation， TCM syndrome evaluation， and quality of life scales can help develop internationally recognized patient-reported outcome measures （PROMs） for TCM clinical trials， which will be a key step in enhancing the evaluation system for the effectiveness of TCM in treating DKD.

Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Perimenopause raises the risk and incidence of depression, whereas the underlying molecular mechanism remains unclear. Disturbed glucose regulation has been widely documented in depressive disorders, which renders the brain susceptible to various stresses such as estrogen depletion. However, whether and how glucose dysfunction regulates depression-like behaviors and neuronal damage in perimenopausal transition remains unexplored. Here, a prominent depressive phenotype was found in perimenopausal mice induced by the ovarian toxin 4-vinylcyclohexene diepoxide (VCD). The VCD depression susceptible group (VCD^SS) and the VCD depression resilient group (VCD^RES) were determined using a ROC-based behavioral screening approach. We found that the hippocampus, a crucial region linked to depression, had hyperglycemia and mitochondrial abnormalities. Interestingly, oral administration of the SGLT2 inhibitor empagliflozin (EMPA) and intrahippocampal glucose infusion suggest a close relationship between hyperglycemia in the hippocampus and the susceptibility to depression. We verified that cytochrome c oxidase 7c (COX7C) downregulation is a potential cause of the high glucose-induced neuronal injury using proteomic screening and biochemical validations. High glucose causes COX7C to be ubiquitinated in a S-phase kinase associated protein 1 (SKP1)-dependent manner. According to these results, SKP1/COX7C represents a unique therapeutic target and a novel molecular route for treating perimenopausal depression.

This paper systematically reviews the application progress of machine learning in perioperative transfusion medicine, focusing on its significant achievements in identifying transfusion risk factors, accurately predicting transfusion requirements, and enabling dynamic monitoring with real-time feedback. It also examines the methodologies, performance metrics, and clinical significance of constructing machine learning models across various surgical specialties, including orthopaedics, cardiac surgery, trauma, and obstetrics. The review further analyzes major challenges currently facing the field, including data bias, model overfitting and interpretability issues, alongside privacy and ethical concerns. Finally, it outlines future directions, highlighting how multimodal data fusion, deep learning applications, multicentre validation, and interdisciplinary collaboration are poised to significant potential for advancing the clinical translation of intelligent transfusion models, achieve personalized precision transfusion management, and enhance patient safety and therapeutic outcomes.

Objective To explore the symptom clusters in renal transplant recipients and con-struct a concurrent symptom network to identify core symptoms.Methods A total of 343 patients with followed up after renal transplantation were selected as the study subjects.A general information questionnaire and the Chinese version of the Modified Transplant Symptom Occurrence and Symptom Distress Scale were employed to analyze the occurrence of symptoms in patients.In this study,only symptoms with an incidence rate greater than 20％and Spearman correlation coefficient greater than 0.40 between symptom severity and total score were retained.Exploratory factor analysis was used to extract symptom clusters with a factor loading of ≥0.45 as the criterion.The R language was utilized to construct symptom network,based on which core symptoms and bridge symptoms were identified.Results A total of 5 symptom clusters were extracted in this study:the neuro-gastrointestinal symp-tom cluster,the mood-related symptom cluster,the hormone-related symptom cluster,the energy de-ficiency symptom cluster and the vision-related symptom cluster.The core symptoms were anxiety(rs=1.75),mood swings(rs=1.50)and muscle weakness(rs=1.27).The top three symptoms in terms of bridge strength were muscle weakness(rb=0.87),lack of vitality(rb=0.66)and fa-tigue(rb=0.65).Conclusion Multiple symptoms are presented in patients after renal transplanta-tion.Based on the results of symptom network analysis,clinicians can strengthen the assessment of core symptoms and bridge symptoms to develop precise intervention strategies and improve the effectiveness of symptom management.

Objective:To explore the assessment value of quantitative parameters of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)and tumor markers in assessing the curative effect of neoadjuvant chemotherapy for breast cancer.Methods:A total of 75 patients with breast cancer who received neoadjuvant chemotherapy combined with surgical intervention in Jining No.1 People's Hospital from May 2019 to May 2022 were selected,and they were divided into effective group(54 cases)and ineffective group(21 cases)according to the Response Evaluation Criteria In Solid Tumour(RECIST).The Ve,Kep and Ktrans of DCE-MRI quantitative parameters and CEA,CA125 and CA15-3 levels of tumor markers between two groups were compared before and after chemotherapy,and the receiver operating characteristics(ROC)curve was adopted to analyze the predictive efficiency of each diagnostic method.Results:After chemotherapy,the differences of the Ve,Kep and Ktrans of quantitative parameters between the two groups were significant(t=7.237,51.695,16.879,P<0.05),respectively.The differences of the CEA,CA125 and CA15-3 of tumor markers between two groups were significant(t=44.201,6.736,6.885,P<0.05),respectively.The AUC value of combined prediction of 6 indicators included Ve,Kep,Ktrans,CEA,CA125 and CA15-3 was 0.979 in predicting the curative effect of neoadjuvant chemotherapy for breast cancer,which was significantly higher than the AUC value of each alone indicator,and the differences of them were statistically significant(Z=2.993,2.679,2.510,2.731,3.215,3.071,P<0.05),respectively.Conclusion:The combination of tumor markers and DCE-MRI quantitative parameters can better predict the curative effect of neoadjuvant chemotherapy for breast cancer,which can indirectly assess the prognosis.

Appropriate positive end-expiratory pressure(PEEP)level is an important component of protective lung ventilation strategy.PEEP can maintain the openness of alveoli and reduce lung collapse in-jury.Although individualized PEEP application has been increasingly recognized by clinical physicians,the optimal PEEP titration method is still controversial.Electrical impedance tomography(EIT)is a non-inva-sive and radiation-free imaging technique that can be used to dynamically assess lung function at the bedside.EIT presents changes in impedance during ventilation as dynamic images,which can reflect altera-tions in ventilation and gas distribution before and after PEEP adjustments.Therefore,EIT can be utilized to tailor individualized PEEP.This article provides a brief overview of the basic principles and monitoring pa-rameters of EIT.It elucidates the PEEP titration method under the guidance of EIT in clinical applications(PEEPEIT),aiming at enhancing the understanding of the advantages and limitations of EIT and providing reference for the setting of individualized PEEP.

Objective To investigate the role of homologous genes absent from the wings of drosophila melanogaster(Notch)signaling pathway in the imbalance of helper T cells 1(Th1)and helper T cells 2(Th2)and the intervention mechanism of Qizhi Zhoufei Granule in chronic obstructive pulmonary disease(COPD).Methods Ten of seventy Wistar rats were selected as the blank control group,and the other rats were established by cigarette smoking combined(CS)with tracheal infusion of lipopolysaccharide(LPS).The COPD model was established by randomly selecting 3 rats in the control group and the model group to verify the success of the model.At the end of modeling,gavage administration was performed.The rats in the model group were randomly divided into model control group,positive control group(67.5 μg·kg-1)and Qizhi Zhoufei Granule high,medium and low treatment group(3.24,1.62,0.81 g·kg-1).Each group was treated with normal saline,dexamethasone acetate suspension and Qizhi Zhoufei Granule suspension at high,medium and low doses.The rats in the blank control group were given the same volume of normal saline as the model control group.After modeling with 28 days and treatment with 28 days,peak inspiratory flow(PIF)and peak expiratory flow(PEF)were detected by the animal lung function test system.Rats were killed to extract lungs,spleen,serum and bronchoalveolar lavage fluid(BALF),hematoxylin-eosin(HE)staining was used to evaluate the pathological changes of lung tissues.The level of tumor necrosis factor-α(TNF-α)in serum and BALF was determined by enzyme-linked immunosorbent assay(ELISA).Flow cytometry was used to detect Th1/Th2 cells in spleen.Immunohistochemistry(IHC)and western blot were used to detect Notch1,Hes1 and Hey1 protein levels in lung tissues.Real-time fluorescence quantitative polymerase chain reaction(Real-Time PCR)was used to detect Notch1,Hes1 and Hey1 gene expression levels in lung tissues.Result Compared with the blank control group,the lung function of the model control group was significantly decreased(P<0.05),inflammatory cell infiltration and bronchial structure destruction occurred in the lung tissue,TNF-α content in serum and BALF increased significantly(P<0.05),the percentage of spleen Th1 cells was significantly decreased(P<0.05),and the percentage of Th2 cells was significantly increased(P<0.05),the protein and mRNA expressions of Notch1,Hes1 and Hey1 in lung tissues were significantly increased(P<0.05),the differences were statistically significant;Compared with the model control group,the lung function of rats in each administration group was significantly increased(P<0.05),the pathological injury of lung tissue was alleviated,TNF-α content in serum and BALF decreased significantly(P<0.05),the percentage of spleen Th1 cells was significantly increased(P<0.05),the percentage of Th2 cells was significantly decreased(P<0.05),the lung tissue of Notch1,Hes1,Hey1 protein and mRNA expression were significantly decreased(P<0.05),the differences were statistically significant.Conclusion Qizhi Zhoufei Granule regulate Th1/Th2 balance by inhibiting Notch signaling pathway,thereby improving pulmonary function and pathological injury,and affecting immune function in COPD rats.

BACKGROUND:In recent years,it has been found that some traditional Chinese medicine monomers can alleviate oxidative stress and apoptosis of the skin flap,promote vascular regeneration of the skin flap and prevent skin flap necrosis by activating autophagy. OBJECTIVE:To review the research progress of traditional Chinese medicine monomer regulating autophagy in preventing flap necrosis. METHODS:The Chinese and English key words were"traditional Chinese medicine(TCM),autophagy,skin flaps".The first author searched the relevant articles published in CNKI and PubMed databases from January 2010 to October 2022.A total of 196 articles were retrieved in the preliminary screening and then screened according to the inclusion and exclusion criteria.The quality assessment was conducted by reading the literature titles and abstracts.Finally,55 articles were summarized. RESULTS AND CONCLUSION:(1)The regulation of autophagy is mediated by AMPK/mTOR,PI3K/AKT and other signaling pathways.Activation of autophagy can alleviate the oxidative stress and apoptosis of the flap,promote the regeneration of blood vessels in the flap,and prevent flap necrosis.(2)Terpenoids(Betulinic acid,Andrographolide,Notoginseng Triterpenes,Catalpa),phenolic compounds(Resveratrol,Curcumin,Gastrodin),phenolic acids(Salvianolic acid B)and steroid compounds(Pseudoginsenoside F11)in traditional Chinese medicine monomers can alleviate oxidative stress and apoptosis of skin flap by regulating related signaling pathways to activate autophagy,promote skin flap angiogenesis and promote skin flap survival.(3)Studying the research progress of traditional Chinese medicine monomer to prevent flap necrosis by regulating autophagy can provide a reference and theoretical basis for traditional Chinese medicine to prevent flap necrosis and promote flap healing in the clinic.