ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

ObjectiveThis study aimed to investigate the anti-Mycoplasma pneumoniae (MP) activity of luteolin and elucidate its underlying mechanisms. MethodsLuteolin was identified as the primary active compound from the polyphenol extract ofF. diotrys using network pharmacology. Its efficacy was evaluated against two MP strains: the standard strain M129 and the multidrug-resistant strain M19. A modified culture medium with visual characteristics was employed to determine the minimum inhibitory concentration (MIC) of luteolin. The expression of key proteins involved in MP growth and pathogenicity was assessed by qRT-PCR following luteolin treatment. Additionally, the viability of A549 cells infected with MP was compared between luteolin-treated and untreated groups. In vivo anti-MP activity was evaluated using a mouse model, and the expression of inflammatory cytokines in lung tissues was analyzed. ResultsLuteolin effectively inhibited both MP strains, with MIC₉₀ values of 100 mg/L for M19 and M129. Treatment with luteolin significantly downregulated the expression of adhesion proteins P1 and P30 in both strains. However, the expression of P65, HMW3, TrmB, and CARDS TX was reduced only in the M19 strain following luteolin intervention. Luteolin also enhanced the growth and viability of A549 cells infected with MP. In the mouse model, luteolin treatment resulted in steady weight gain and was well tolerated. The bacteriostatic rate of luteolin in lung tissues was 50.7%, significantly higher than the 25.2% observed in the roxithromycin group. Furthermore, luteolin reduced the expression of inflammatory factors, including IL-6, TNF-α, and HMGB1, in MP-infected mice. ConclusionLuteolin effectively and safely inhibits the proliferation and pathogenicity of MP, particularly the drug-resistant M19 strain, by downregulating the expression of toxicity-associated proteins (P1, P30, P65, HMW3, TrmB, CARDS TX) and modulating host inflammatory responses. These findings suggest that luteolin may offer a novel therapeutic strategy for treating MP infections, especially those caused by drug-resistant strains.

ObjectiveTo develop and validate a nomogram based on the albumin-bilirubin （ALBI） score for predicting the risk of severe perioperative complications in patients undergoing hepatectomy for hepatolithiasis. MethodsA retrospective analysis was conducted on the clinical data of 163 hepatolithiasis patients who underwent hepatectomy. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for severe perioperative complications. A nomogram prediction model was constructed and its performance was evaluated. ResultsAmong the 163 patients， 66 and 97 were classified into the low-grade and high-grade ALBI groups， respectively. Significant intergroup differences were observed in gender， total bilirubin， albumin levels， and the incidence of severe complications （P0.05）. Severe complications occurred in 40 patients. Independent risk factors included age 60 years （OR=5.49， P0.001）， high-grade ALBI （OR=8.30， P0.001）， history of biliary surgery （OR=2.60， P=0.035）， hepatectomy （segmentectomy）≥3 （OR=2.75， P=0.028）， and open surgical approach （OR=4.00， P=0.009）. A nomogram for predicting severe perioperative complications was successfully established. Internal validation showed that the model had an area under the ROC curve （AUC） of 0.865， which outperformed traditional single predictors. The calibration curve closely aligned with the ideal curve， with a mean absolute error （MAE） of 0.027. Decision curve analysis （DCA） demonstrated a net clinical benefit when the threshold probability exceeded 10%， superior to that of traditional predictors. ConclusionThe ALBI score-based nomogram is successfully developed and validated to predict the risk of severe perioperative complications in hepatolithiasis patients undergoing hepatectomy. The model demonstrated favorable predictive performance and high clinical utility， serving as an effective tool for both preoperative risk assessment and postoperative risk stratification.

Radiation-induced intestinal injury is caused by high dose of radiation in the abdomen and pelvis. The disease is characterized by complicated pathological mechanisms and poses significant challenges to clinical treatment, seriously affecting the quality of life and health of patients. Current treatments in modern medicine offer limited efficacy and are often associated with adverse side effects. Traditional Chinese medicine monomers inhibit inflammatory factors (e.g., tumor necrosis factor-α and interleukin-1β) and regulate the antioxidant enzyme system (e.g., improving the activity of superoxide dismutase) to effectively reduce the symptoms of radiation-induced intestinal injury with minimal side effects. Through targeted delivery of nanoparticles, nanotechnology can accurately deliver the active ingredients of traditional Chinese medicine to damaged intestinal tissues, thus improving their bioavailability and therapeutic effects. This paper reviews the mechanisms of Chinese medicine monomers in the prevention and treatment of radiation-induced intestinal injury and the application of nanotechnology for enhanced efficiency. The paper also discusses the clinical potential of these approaches. These results provide a reference for future research and clinical practice.

AIM To observe the effects of Yiqi Jiedu Tongluo Formula(YQJDTL)on renal microvascular endothelial function and prevention of renal injury in a rat model of type 2 diabetes mellitus(T2DM).METHODS The SD rats were randomly divided into a normal group and a model group.The model group was administered with high-fat diet combined with a single intraperitoneal injection of STZ to establish the T2DM model.The successfully modeled rats were randomly divided into the model group,the canagliflozin group(9 mg/kg),and the low-dose and high-dose YQJDTL groups(4.77,9.45 g/kg).The corresponding doses of the drug were administered by gavage for a total of 12 weeks,during which the rats underwent observation of their general condition and blood glucose changes.After the end of administration,the rats had their levels of renal index,24-hour UP,serum SCr,BUN,TC,TG,HDL-C,LDL-C,ET-1 and NOS measured;their changes in renal microvasculature and the degree of renal fibrosis observed using HE staining,Masson staining,PAS staining,and PASM staining;their ultrastructure of the glomeruli observed using transmission electron microscopy;their renal protein expressions of TGF-β,SMAD2,SMAD3,Col-1,VEGFA and PKC detected by immunohistochemical staining and Western blot;and their renal mRNA expressions of VEGFA,TGF-β,SMAD2 determined by RT-qPCR.RESULTS Compared with the model group,the high-dose YQJDTL group showed decreased levels of renal index,blood glucose,TG,TC,HDL,24 h UP,BUN,SCr and ET-1(P＜0.05,P＜0.01);increased LDL and NOS levels(P＜0.05,P＜0.01);reduced renal inflammatory infiltration and fibrosis degree,inhibited fusion of foot processes and thickening of basement membrane;decreased renal protein expressions of TGF-β,SMAD2,SMAD3,VEGFA,PKC and Col-1(P＜0.05,P＜0.01);and decreased mRNA expressions of VEGFA,TGF-β and SMAD2(P＜0.01).CONCLUSION In the rat models of T2DM,YQJDTL can reduce their levels of blood glucose and lipids by improving the renal indices levels and the renal microvascular endothelial functions to alleviate renal fibrosis and microangiopathy as well,and the mechanism may be associated with the down-regulated expressions of TGF-β/SMAD and VEGF pathway-related proteins.

AIM:To investigate the effects and underlying mechanisms of paeoniflorin(PF)on lipopolysac-charide(LPS)-induced intestinal injury in septic mice,using a combination of network pharmacology,molecular docking,and animal experiments.METHODS:Network pharmacology was used to identify key active components and therapeutic targets of Red Peony for treating sepsis.Molecular docking was performed to explore the binding affinity be-tween PF and silent information regulator 1(SIRT1).An LPS-induced mouse model of sepsis with intestinal injury was es-tablished.Samples were collected 24 h after modeling,and hematoxylin-eosin(HE)staining was performed to observe pathological changes in intestinal tissues.Chiu's scoring system was utilized to evaluate the extent of intestinal injury.En-zyme-linked immunosorbent assay(ELISA)was employed to measure levels of inflammatory factors in intestinal tissues,including interleukin-1β(IL-1β)and IL-18,as well as indicators of intestinal permeability such as diamine oxidase(DAO)and intestinal-type fatty acid-binding protein(I-FABP),alongside serum levels of D-lactate and the aerobic gly-colysis product L-lactate.Western blot analysis was performed to assess changes in protein levels of SIRT1,M2-type pyru-vate kinase(PKM2),and NOD-like receptor protein 3(NLRP3)in intestinal tissues.RESULTS:Network pharmacolo-gy suggested that paeoniflorin,an active component of Red Peony,treats sepsis by targeting SIRT1 among other proteins.Molecular docking revealed a strong binding affinity of PF with SIRT1.In vivo experimentation revealed significant patho-logical damage in intestinal tissues in the LPS group compared to the control group as evidenced by HE staining.Chiu's score,along with levels of IL-1β,IL-18,D-lactate,and L-lactate were significantly elevated,while DAO and I-FABP levels were reduced(P＜0.05).SIRT1 expression decreased,while PKM2 and NLRP3 levels increased(P＜0.05).In contrast,the LPS+PF group displayed reduced intestinal histopathological injury,lower Chiu's scores,and decreased levels of IL-1β,IL-18,D-lactate,and L-lactate,along with increased DAO and I-FABP levels(P＜0.05).Notably,SIRT1 protein expression increased while PKM2 and NLRP3 levels decreased(P＜0.05).Furthermore,compared to the LPS+PF group,the LPS+PF+EX527 group exhibited exacerbated intestinal histopathological injury,increased Chiu's scores,as well as elevated levels of IL-1β,IL-18,D-lactate,and L-lactate,alongside reduced DAO and I-FABP levels(P＜0.05),decreased SIRT1 expression,and increased PKM2 and NLRP3 levels(P＜0.05).CONCLUSION:Paeoni-florin effectively alleviates intestinal injury in mice with sepsis,potentially through the upregulation of SIRT1 expression and the inhibition of PKM2-mediated aerobic glycolysis,which subsequently reduces the activation of NLRP3 inflamma-somes,mitigates the release of inflammatory factors,and lessens intestinal inflammation.

Objective To establish an online gel permeation chromatography-gas chromatography/mass spectrometry(GPC-GCMS)method for the determination of etomidate in blood.Methods Blood samples were extracted with acetonitrile,dehydrated with anhydrous sodium sulfate,purified with an online GPC system,and then analyzed by GCMS using large volume injection.The external standard curve method was used for quantification.Results The detection limit of etomidate was 0.002 μg/mL,with good linearity in the concentration range of 0.01～5 μg/mL and a correlation coefficient of 0.9992.The extraction recovery rates ranged between 90%and 120%.In an actual case,the content of etomidate detected in the blood sample was 0.024 μg/mL.Conclusion This method is fast,simple,accurate,and stable,providing a reliable basis for the determination of etomidate content in blood.

Objective To compare the therapeutic efficacy of a self-locking zero-notch interbody fusion device for long-segment cervical spondylosis in elderly patients with traditional titanium plate combined with interbody fusion device.Methods From Jan 2019 to Jan 2021,elderly patients(>60 years)with 3-4 segments(C3-C7)radiculopathy,myelopathy,or mixed-type cervical spondylosis underwent anterior cervical discectomy and fusion(ACDF)using a zero-notch interbody fusion device(Group A,n=24)and ACDF using a titanium plate combined with an interbody fusion device(Group B,n=18).We recorded the surgery duration,blood loss,incision length and hospital stay,measure preoperative and postoperative intervertebral height,functional segment height and cervical lordosis,and also observe treatment outcomes and postoperative complications between the two groups.Results There were no statistically significant differences between the two groups in terms of gender,age,Japanese Orthopaedic Association(JOA)score,visual analogue scale(VAS)of upper limb,Neck Disability Index(NDI),preoperative intervertebral height,functional segment height and cervical lordosis.Blood loss,surgery time and hospital stay were similar in both groups,but Group A had shorter incision length(P<0.01)compared with Group B.There were no significant differences between the two groups in JOA scores,upper limb VAS and postoperative NDI,and even in postoperative intervertebral height,functional segment height and cervical lordosis recovery.Conclusion The zero-notch interbody fusion device is effective for treating long-segment cervical spondylosis.Compared with the traditional titanium plate combined with an interbody fusion device,it can avoid postoperative dysphagia with smaller incision and shorter surgery time,which makes it more suitable for elderly patients.

Aberrant expression of Colgalt1 is closely associated with tumorigenesis and tumor progres-sion;however,the mechanism by which it regulates macrophages to influence tumor development remains poorly understood.This study aimed to establish a macrophage-specific Colgalt1 gene knockout mouse model to delve into the mechanisms through which Colgalt1 modulates macrophage function and subse-quently affects the occurrence and progression of tumor-related diseases.Initially,Colgalt1flox+mice were generated using gene editing techniques,followed by crossing with Lyz2-Cre+mice,which exhibit tissue-specific expression in the myeloid lineage(including monocytes and mature macrophages).Through this strategy,mice with the genotype Colgalt1-/-Lyz2-Cre+were successfully obtained,achieving conditional knockout of the Colgalt1 gene in macrophages.Colgalt1flox/flox Lyz2-Cre-mice were used as control.PCR and agarose gel electrophoresis were employed to identify the Flox and Cre genotypes of the knockout mice.RT-qPCR and Western Blot techniques were utilized to detect the expression levels of Colgalt1 in BMDMs from knockout mice at both the mRNA and protein levels,respectively.Western Blot results re-vealed a significant downregulation of Colgaltl expression in BMDMs from knockout mice compared to controls(P＜0.01).RT-qPCR results demonstrated a significant reduction in Colgalt1 mRNA levels in BMDMs from knockout mice compared to contro1s(P＜0.001),while no significant differences in Col-galt1 mRNA expression were observed in liver,lung,or spleen tissues between the two groups.Addition-ally,immunohistochemistry was employed to detect Colgalt1 expression in liver-specific macrophages,re-vealing an absence of Colgalt l-positive staining in liver macrophages from knockout mice.HE staining was used to observe cellular morphology in liver tissues from both groups of mice,showing no significant differences in cellular morphology or obvious pathological changes in tissues and organs.Moreover,the o-verall survival of the mice was not affected.Finally,RT-qPCR was used to assess the expression of mac-rophage-related inflammatory factors in BMDMs from both groups of mice.The results indicated that com-pared to controls,knockout mice exhibited downregulated expression of TNF-α(P＜0.05)and signifi-cantly upregulated expression of IL-10(P＜0.01),Arginase1(P＜0.001),and CD206(P＜0.001)in BMDMs,suggesting an anti-inflammatory trend and M2 polarization of macrophages following Colgalt 1 knockout.In summary,this study successfully established a macrophage-specific Colgalt1 gene knockout mouse model,providing a more reliable experimental animal model for in-depth exploration of the specific roles of Colgalt1 in macrophage functional regulation and the pathogenesis of tumor-related diseases.This model holds promise for identifying novel therapeutic targets and strategies for tumors and other diseases.

Objective To establish a comprehensive classification model integrating deep learning and radiomics features to enhance the accuracy and consistency for identifying pancreatic cystic neoplasms.Methods Firstly,the radiomics technique and ResNet50 convolutional neural network were used to extract the features of radiomics and deep learing for pancreatic cystic neoplasms,respectively,and the key features were obtained by screening the features with the least absolute shrinkage and selection operator;secondly,three classification models were constructed by integrating only key features,deep learning features or radiomics and deep learning features,respectively;finally,logistic regression,random forest,adaptive boosting and support vector machine(SVM)classifiers were used to compare the above feature models in order to verify their efficacies for categorizing pancreatic cystic neoplasms.Results The comprehensive model integrating deep learning and radiomics features performed the best on the SVM classifier,which gained advantages over the other two models with the accuracy,recall,precision,AUC value and F1 value being 89.34％,92.13％,75.34％,0.90 and 0.83,respectively.Conclusion The comprehensive classification model integrating deep learning and radiomics features behaves well in mining relationships between various types of features and classifying pancreatic cystic neoplasms,and facilitates further precise diagnosis and treatment.[Chinese Medical Equipment Journal,2025,46(1):7-12]