Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical characteristics. Establishing a surgical safety system is crucial for improving patients' prognosis. In recent years, artificial intelligence(AI) has developed rapidly, showing great potential in preoperative diagnosis, surgical planning, intraoperative navigation, postoperative management, and training of young surgeons. By analyzing preoperative imaging and biopsy results, AI can assist in evaluating the nature of the lesion and its relationship with surrounding tissues, which are critical for the surgical treatment planning; during the operation, it can achieve real-time recognition of anatomical structures and assist in intraoperative decision-making; in postoperative management, AI can provide detailed management based on individual characteristics, facilitating rapid recovery. Additionally, the combination of AI and virtual reality can assist in the training of young surgeons. However, the application of AI still faces issues such as data quality, algorithmic universality, and ethical concerns, calling for standardized data annotation and multi-center collaboration and supervision.

Microalgae possess high photosynthetic efficiency, robust adaptability, and substantial biomass, serving as excellent biological resources for large-scale cultivation. Malic enzyme (ME), a ubiquitous metabolic enzyme in living organisms, catalyzes the decarboxylation of malate to produce pyruvate, CO₂, and NAD(P)H, playing a role in multiple metabolic pathways including energy metabolism, photosynthesis, respiration, and biosynthesis. In this study, we identified the Scenedesmus quadricauda malic enzyme gene (SqME) and its biological functions, aiming to provide excellent target genes for the genetic improvement of higher plants. Based on the RNA-seq data from S. quadricauda under the biofilm cultivation mode with high CO₂ and light energy transfer efficiency and small water use, a highly expressed gene (SqME) functionally annotated as ME was cloned. The physicochemical properties of the SqME-encoded protein were systematically analyzed by bioinformatics tools. The subcellular localization of SqME was determined via transient transformation in Nicotiana benthamiana leaves. The biological functions of SqME were identified via genetic transformation in Nicotiana tabacum, and the potential of SqME in the genetic improvement of higher plants was evaluated. The ORF of SqME was 1 770 bp, encoding 590 amino acid residues, and the encoded protein was located in chloroplasts. SqME was a NADP-ME, with the typical structural characteristics of ME. The ME activity in the transgenic N. tabacum plant was 1.8 folds of that in the wild-type control. Heterologous expression of SqME increased the content of chlorophyll a, chlorophyll b, and total chlorophyll by 20.9%, 26.9%, and 25.2%, respectively, compared with the control. The transgenic tobacco leaves showed an increase of 54.0% in the fluorescence parameter NPQ and a decrease of 30.1% in Fo compared with the control. Moreover, the biomass, total lipids, and soluble sugars in the transgenic tobacco leaves enhanced by 20.5%, 25.7%, and 9.5%, respectively. On the contrary, the starch and protein content in the transgenic tobacco leaves decreased by 22.4% and 12.2%, respectively. Collectively, the SqME-encoded protein exhibited a strong enzymatic activity. Heterologous expressing of SqME could significantly enhance photosynthetic protection, photosynthesis, and biomass accumulation in the host. Additionally, SqME can facilitate carbon metabolism remodeling in the host, driving more carbon flux towards lipid synthesis. Therefore, SqME can be applied in the genetic improvement of higher plants for enhancing photosynthetic carbon fixation and lipid accumulation. These findings provide scientific references for mining of functional genes from S. quadricauda and application of these genes in the genetic engineering of higher plants.
Nicotiana/genetics* ; Photosynthesis/physiology* ; Malate Dehydrogenase/biosynthesis* ; Plant Leaves/genetics* ; Scenedesmus/enzymology* ; Carbon Cycle/genetics* ; Lipid Metabolism/genetics* ; Plants, Genetically Modified/metabolism*

OBJECTIVE To explore the relationship between levels of peripheral blood interleukin(IL)-6,IL-18,IL-1β,tumor necrosis factor(TNF-α),procalcitonin(PCT),C-reactive protein(CRP)and vascular cell adhesion molecule-1(VCAM-1)and disease condition and prognosis in children with Mycoplasma pneumoniae pneumonia(MPP),and to construct a prediction model.METHODS A total of 196 children with MPP admitted to Dazhou Central Hospital in Sichuan Province from Jan.2022 to Jan.2024 were selected as the MPP group and were divided into the mild group(n=124)and the severe group(n=72)according to the clinical pulmonary infection score(CPIS),and 200 healthy children who participated in physical examination in the hospital during the same period were selected as the healthy group.All 196 children with MPP received relevant treatments and were divided into a poor prognosis group(n=40)and a good prognosis group(n=156)according to their prognosis.The levels of peripheral blood IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 were measured in all the subjects,the risk factors affecting the disease condition and prognosis of children with MPP were analyzed,the prediction model was constructed,and the receiver operating characteristic(ROC)curve was drawn and the area under the curve(AUC)was calculated to evaluate the predictive effect of the constructed prediction model.RESULTS Peripheral blood IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 levels in the MPP group were higher than those in the healthy group(P＜0.05).The levels of IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 in peripheral blood were significantly higher in the severe group than those in the mild group(P＜0.05).IL-6(OR=1.203),IL-18(OR=1.072),IL-1β(OR=4.060),TNF-α(OR=1.264),PCT(OR=3.132),CRP(OR=1.546)and VCAM-1(OR=1.009)were risk factors for severe condition in MPP children(P＜0.05).The prediction model constructed for the devel-opment of severe illness in MPP children was as follows:Logit(P)=-67.522+0.185×IL-6+0.069×IL-18+1.401×IL-1β+0.234×TNF-α+1.142×PCT+0.436×CRP+0.009 ×VCAM-1.The AUC of the prediction model for predicting severe conditions in MPP children was 0.985.The levels of IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 in peripheral blood in the poor prognosis group were higher than those in the good prognosis group(P＜0.05).IL-6(OR=1.083,95％CI:1.024-1.145,P=0.005),TNF-α(OR=1.083,95％CI:1.002-1.172,P=0.046)and VCAM-1(OR=1.029,95％CI:1.015-1.044,P＜0.001)were risk factors for poor prognosis in MPP children.The prediction model established for poor prognosis in children with MPP was as follows:logit(P)=-31.557+0.080×IL-6+0.080×TNF-α+0.029×VCAM-1.The AUC of the prediction model for predicting poor prognosis in MPP children was 0.979.CONCLUSIONS The levels of IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 in pe-ripheral blood are closely related to the severity of illness in children with MPP.The prediction model constructed on the basis of the above indicators predicts the risk of severe disease in children with MPP,and the prediction model constructed on the basis of IL-6,TNF-α and VCAM-1 predicts the risk of poor prognosis in children with MPP.

OBJECTIVE To explore the relationship between levels of peripheral blood interleukin(IL)-6,IL-18,IL-1β,tumor necrosis factor(TNF-α),procalcitonin(PCT),C-reactive protein(CRP)and vascular cell adhesion molecule-1(VCAM-1)and disease condition and prognosis in children with Mycoplasma pneumoniae pneumonia(MPP),and to construct a prediction model.METHODS A total of 196 children with MPP admitted to Dazhou Central Hospital in Sichuan Province from Jan.2022 to Jan.2024 were selected as the MPP group and were divided into the mild group(n=124)and the severe group(n=72)according to the clinical pulmonary infection score(CPIS),and 200 healthy children who participated in physical examination in the hospital during the same period were selected as the healthy group.All 196 children with MPP received relevant treatments and were divided into a poor prognosis group(n=40)and a good prognosis group(n=156)according to their prognosis.The levels of peripheral blood IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 were measured in all the subjects,the risk factors affecting the disease condition and prognosis of children with MPP were analyzed,the prediction model was constructed,and the receiver operating characteristic(ROC)curve was drawn and the area under the curve(AUC)was calculated to evaluate the predictive effect of the constructed prediction model.RESULTS Peripheral blood IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 levels in the MPP group were higher than those in the healthy group(P＜0.05).The levels of IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 in peripheral blood were significantly higher in the severe group than those in the mild group(P＜0.05).IL-6(OR=1.203),IL-18(OR=1.072),IL-1β(OR=4.060),TNF-α(OR=1.264),PCT(OR=3.132),CRP(OR=1.546)and VCAM-1(OR=1.009)were risk factors for severe condition in MPP children(P＜0.05).The prediction model constructed for the devel-opment of severe illness in MPP children was as follows:Logit(P)=-67.522+0.185×IL-6+0.069×IL-18+1.401×IL-1β+0.234×TNF-α+1.142×PCT+0.436×CRP+0.009 ×VCAM-1.The AUC of the prediction model for predicting severe conditions in MPP children was 0.985.The levels of IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 in peripheral blood in the poor prognosis group were higher than those in the good prognosis group(P＜0.05).IL-6(OR=1.083,95％CI:1.024-1.145,P=0.005),TNF-α(OR=1.083,95％CI:1.002-1.172,P=0.046)and VCAM-1(OR=1.029,95％CI:1.015-1.044,P＜0.001)were risk factors for poor prognosis in MPP children.The prediction model established for poor prognosis in children with MPP was as follows:logit(P)=-31.557+0.080×IL-6+0.080×TNF-α+0.029×VCAM-1.The AUC of the prediction model for predicting poor prognosis in MPP children was 0.979.CONCLUSIONS The levels of IL-6,IL-18,IL-1β,TNF-α,PCT,CRP and VCAM-1 in pe-ripheral blood are closely related to the severity of illness in children with MPP.The prediction model constructed on the basis of the above indicators predicts the risk of severe disease in children with MPP,and the prediction model constructed on the basis of IL-6,TNF-α and VCAM-1 predicts the risk of poor prognosis in children with MPP.

Pancreatic surgeries have long been considered as challenging procedures due to its complex surgical characteristics. Establishing a surgical safety system is crucial for improving patients' prognosis. In recent years, artificial intelligence(AI) has developed rapidly, showing great potential in preoperative diagnosis, surgical planning, intraoperative navigation, postoperative management, and training of young surgeons. By analyzing preoperative imaging and biopsy results, AI can assist in evaluating the nature of the lesion and its relationship with surrounding tissues, which are critical for the surgical treatment planning; during the operation, it can achieve real-time recognition of anatomical structures and assist in intraoperative decision-making; in postoperative management, AI can provide detailed management based on individual characteristics, facilitating rapid recovery. Additionally, the combination of AI and virtual reality can assist in the training of young surgeons. However, the application of AI still faces issues such as data quality, algorithmic universality, and ethical concerns, calling for standardized data annotation and multi-center collaboration and supervision.

Bladder cancer ranks 12th in the statistical spectrum of death from malignant tumor pa-tients,its incidence rate is high,the patients population is showing a trend of youthfulness,moreover it is easy to develop metastasis and recurrence.In recent years,the immunotherapy has been gradually promoted in the patients with advanced bladder cancer who cannot receive the cisplatin chemotherapy or who are resistant to chemotherapy,in particular,the immune checkpoint inhibitors(ICIs)represented by programmed cell cleath-1(PD-1)/programmed cell cleath-ligand 1(PD-L1)are dominant,although ICIs represented by PD-1/PD-L1 has achieved good efficacy in immunotherapy.However,due to the increase in immune escape events,only a-bout 30％of patients benefit from immunotherapy.Therefore,there is an urgent need to develop the treatment regimen for the patients with bladder cancer immune escape.Recently,the tumor microenvironment(TME)has become a research hotspot,especially the immunosuppressive cells in TME.There are 5 types of cells with immunosuppressive function in TME:tumor-associated macrophages(TAMs),regulatory T cells(Tregs),bone marrow-derived suppressor cells(MDSCs),tumor-associated central granulocytes(MDSCs)and tumor-associated fibroblasts(CAFs),which play an important role in tumor immune escape.This paper elaborated the composition and function of TAMs in TME and prospects the tumor promoting mechanism of bladder cancer TAMs and targeted treatment of bladder cancer TAMs.

Aggressive angiomyxoma (AAM) is a rare clinical entity. A case of AAM was reported in this paper. The patient presented with severe hydronephrosis of the left kidney and was diagnosed with a pelvic mass compressing the ureter. The patient underwent laparoscopic resection of the pelvic mass. The postoperative pathology and immunohistochemistry confirmed the diagnosis of AAM. The patient had no recurrence and metastasis after 9 months of follow-up.

Objective:To evaluate the value of cerebrospinal fluid (CSF) nerve injury-related proteins levels in predicting postoperative delirium (POD) in patients.Methods:A total of 1 000 patients of both sexes, aged 40-90 yr, of American Society of Anesthesiologists physical status Ⅰ or Ⅱ, with Mini-Mental State Examination score>24 at 1 day before operation, undergoing elective knee/hip arthroplasty under spinal-epidural anesthesia , were enrolled in this study.Cubital venous blood samples were drawn before anesthesia for detection of the concentrations of plasma total cholesterol, high-density lipoprotein, low-density lipoprotein and triglyceride.CSF 2ml was extracted after successful spinal-epidural anesthesia puncture for measurement of concentrations of α-synuclein (α-syn), β-amyloid protein 1-40 (Aβ 1-40), Aβ 1-42, total-Tau (t-Tau), phosphorylated Tau (p-Tau), progranulin (PGRN) and soluble myeloid cell triggering receptor 2 (sTREM2) (by enzyme-linked immunosorbent assay). The Confusion Assessment Method was used at 1, 3 and 7 days after surgery to evaluate the occurrence of POD.The patients were divided into POD group and non-POD group according to whether POD occurred after operation.Logistic regression analysis was used to analyze the variables of which P values were less than 0.05 to analyze the risk factors for POD.The receiver operating characteristic (ROC) curve was drawn and area (AUC) under the curve was calculated to evaluate the accuracy of the related risk factors in predicting POD. Results:A total of 964 patients were enrolled in the study, and 108 patients were diagnosed with POD, and the incidence was 11.2%.The results of logistic regression analysis found that age and and increased α-syn in CSF concentration were risk factors for POD, and decreased PGRN in CSF concentration and Aβ 1-42/p-Tau in CSF were the protective factors for POD ( P<0.05). ROC curve analysis showed that α-syn (AUC 0.69, 95% confidence interval (CI) 0.634-0.748, sensitivity 57.41%, specificity 82.10%, Youden Index 0.3951), PGRN in CSF concentration (AUC 0.695, 95%CI 0.637-0.750, sensitivity 59.26%, specificity 80.86%, Youden Index 0.4012) and Aβ 1-42/p-Tau in CSF (AUC 0.635, 95%CI 0.574-0.692, sensitivity 93.52%, specificity 30.25%, Youden Index 0.2377) could predict the occurrence of POD. Conclusion:PGRN, α-syn concentration and Aβ 1-42/p-Tau in CSF can predict the occurrence of POD in patients.

Objective:To evaluate the relationship between preoperative cerebrospinal fluid/serum albumin ratio (Q-alb) and postoperative delirium (POD) in patients undergoing neuraxial anesthesia.Methods:The patients, aged 40-90 yr, of American Society of Anesthesiologists physical status Ⅰ or Ⅱ, underwent total knee/hip replacement under combined spinal-epidural block in our hospital from January 2018 to December 2020, were collected.After admission to the operating room, venous blood and cerebrospinal fluid samples were collected for determination of cerebrospinal fluid albumin, β-amyloid (Aβ) 1-42, Aβ 1-40, total tau protein (t-Tau), phosphorylated tau protein (p-Tau) and serum albumin levels (by enzyme-linked immunosorbent assay) and for calculation of Q-alb.When Q-alb was more than 10.2, the patient was considered to have blood-brain barrier disruption.Mini-Mental State Examination scale was used to evaluate the cognitive level on 1 day before surgery. The development of POD was evaluated using Confusion Assessment Method Chinese Reversion and Memorial Delirium Assessment Scale at 1-7 days after surgery.The patients were divided into POD group (P group) and non-POD (NP group) according to whether POD occurred.The receiver operating characteristic (ROC) curve was used to analyze the accuracy of Q-alb in predicting POD. Results:There were 49 cases in each group.Compared with group NP, concentrations of Aβ 1-42 and Aβ 1-40 were significantly decreased, concentrations of t-Tau and p-Tau albumin were increased, the ratio of Q-alb and blood-brain barrier disruption was increased in group P ( P<0.05). Before and after adjusting for confounding factors, Q-alb, cerebrospinal fluid Aβ 1-42, Aβ 1-40, t-Tau and p-Tau levels were risk factors for POD ( P<0.05). There was a positive linear regression relationship between Q-alb and levels of t-Tau and p-Tauin cerebrospinal fluid (t-Tau: β=0.587, P<0.001; p-Tau: β=0.427, P<0.001), and there was a negative linear regression relationship between Q-alb and levels of Aβ 1-42 and Aβ 1-40 in cerebrospinal fluid (Aβ 1-42: β=-0.762, P<0.001; Aβ 1-40: β=-0.531, P<0.001). There was no linear regression relationship between Q-alb and level of p-Tau in group P ( P=0.121). There was no linear regression relationship between Q-alb and level of Aβ 1-40 in group NP ( P=0.467). The results of ROC curve analysis showed that the area under the curve for Q-alb in predicting POD (95% confidence interval) was 0.827 (0.738-0.896). Conclusion:Preoperative higher Q-alb is the risk factor for POD in patients undergoing neuraxial anesthesia, and is more accurate in predicting POD.

【Objective】 To investigate whether 17β-estradiol (βE2) can activate the NF-E2-related factor 2(Nrf2) pathway to resist the downregulation of retinal function induced by light damage. 【Methods】 Two weeks after female SD rats were castrated, they were divided into the following six groups: control group (control), light-damage group (LD), saline group, saline light-damage group (saline-LD), βE2 group, and βE2 light-damage group (βE2-LD). Rats in the light-damage were exposed to 8000-lux fluorescence for 12 h after 18 h of dark adaptation. Then electroretinogram (ERG), immunofluorescence, Real-time PCR and immunohistochemical detection were performed after one day of dark recovery. 【Results】 The results of ERG showed that ERG was lower in LD group than in control group (P<0.05). After light damage, ROS was increased and the mRNA expressions of antioxidant genes, such as Sod1, Sod2, Cat, Glrx1, Glrx2, Txn1, and Txn2 were decreased (all P<0.05). After βE2 administration, compared with those in saline-LD, ROS level was decreased, the levels of Nrf2 protein and antioxidant genes were increased, and ERG was recovered to a certain extent in βE2-LD (P<0.05). 【Conclusion】 βE2 can restore the function of rat retina, and its mechanism might be related to the upregulation of Nrf2 and antioxidant genes.