Liver transplantation is the most effective treatment for end-stage liver disease and can significantly prolong patient survival. However, patients usually have poor physiological and psychological conditions before and after undergoing liver transplantation surgery, which affects prognosis and reduces quality of life. Preoperative prehabilitation, through intervention modes such as exercise, nutrition and psychology, can improve patients' preoperative functional reserve, alleviate perioperative stress reactions, reduce postoperative infection risks and be beneficial for postoperative recovery after liver transplantation. Therefore, this article reviews the latest research progress on the timing and location of prehabilitation, the necessity of prehabilitation and intervention models for preoperative prehabilitation of liver transplant patients. The aim is to deepen the understanding and application of preoperative prehabilitation for liver transplant patients in clinical practice, in order to provide theoretical and practical basis for preoperative prehabilitation of liver transplant patients and improve their prognosis.

Objective To investigate the distribution characteristics of Oncomelania hupensis snails in Yunnan Province fol-lowing interruption of schistosomiasis transmission, so as to provide the evidence for assessing the risk of schistosomiasis transmission and scientifically formulating the schistosomiasis surveillance program. Methods According to the requirements of the National Schistosomiasis Surveillance Scheme (2020 Edition), O. hupensis snail surveillance data were collected from 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province from 2020 to 2024, including area of snail survey, area of snail habitats, area of re-emerging snail habitats, number of frames surveyed, number of frames with O. hupensis snails, number of O. hupensis snails captured, and number of living snails, and the occurrence of frames with snails and mean density of living snails were calculated. Changes in snail status over the 5-year period from 2020 to 2024 and the differences in snail distributions specified by epidemic intensity, environmental type, and vegetation type were analyzed. Results The areas of snail survey increased from 1 727.96 hm² in 2020 to 3 894.45 hm² in 2024 (peak) across 18 schistosomiasis-endemic counties (cities, districts) in Yunnan Province during the period from 2020 through 2024. The areas of snail habitats increased from 70.36 hm² in 2020 to a peak in 2023 (172.04 hm²), followed by a reduction to 132.36 hm² in 2024, and the areas of re-emerging snail habitats increased from 42.71 hm² in 2020 to a peak in 2022 (78.43 hm²), followed by a reduction to 40.21 hm² in 2024. The occurrence of frames with snails and mean density of living snails increased from 1.24% (3 025/244 404) and (0.033 2 ± 0.038 7) snails/0.1 m² in 2020 to peaks at 2.03% (6 231/307 563) and (0.066 9 ± 0.068 4) snails/0.1 m² in 2023, followed by reductions to 1.04% (5 829/559 941) and (0.032 6 ± 0.057 7) snails/0.1 m² in 2024, respectively. There was a significant difference in the occurrence of frames with snails over the 5-year study period (χ² = 1 962.95, P < 0.05), and the occurrence of frames with snails reduced by 48.71% in 2024 relative to in 2023 (χ² = 1 411.05, P < 0.005); however, there was no significant difference in the mean density of living snails over the 5 years (H = 5.310, P > 0.05). There were significant differences in the occurrence of frames with snails (χ² = 481.27, P < 0.05) and mean density of living snails (H = 6.872, P < 0.05) in schistosomiasis-endemic areas with different epidemic intensities. The occurrence of frames with snails (χ² = 25.32 and 38.70, both P values < 0.017) and mean density of living snails (Z = 28.55 and 49.96, both P values < 0.017) were higher in schistosomiasis transmission-interrupted and eliminated areas with snails than in schistosomiasis-eliminated areas without snails, and the occurrence of frames with snails (χ² = 453.54, P < 0.017) and mean density of living snails (Z = −56.97, P < 0.017) were higher in schistosomiasis-eliminated areas with snails than in schistosomiasis transmission-interrupted areas with snails. O. hupensis snails were mainly distributed in paddy fields, dry farmlands and ditches; however, the occurrence of frames with snails (13.40%, 424/3 164) and mean density of living snails [(0.252 8 ± 0.158 7) snails/0.1 m²] were higher in ponds/weirs than in other types of environments (both P values < 0.05). Rice, dry farmland crops and weeds were main vegetations in which O. hupensis snails were distributed, and the occurrence of frames with snails (2.29%, 7 111/310 140) and mean density of living snails [(0.072 3 ± 0.018 9) snails/0.1 m²] were higher in weeds than in other types of environments (both P values < 0.05). Conclusions O. hupensis snails have been effectively controlled in Yunnan Province following implementation of integrated schistosomiasis control measures; however, there are still risk factors for schistosomiasis transmission, including reduced attention to schistosomiasis control and snail re-emergence. Improved control efforts and surveillance system construction and timely identification of risk factors of snail status and timely management are recommended to ensure the achievement of the target of schistosomiasis elimination as scheduled.

Objective To develop dynamic prediction models based on multiple postnatal time points to support early diagnosis and individualized intervention for bronchopulmonary dysplasia(BPD)in preterm infants with gestational age<32 weeks.Methods Clinical data of 472 preterm infants with gestational age<32 weeks admitted to the Second Xiangya Hospital of Central South University between January 2016 and November 2020 were retrospectively analyzed.Multivariable logistic regression was applied to develop five independent prediction models at postnatal days 1,7,14,21,and 28.The performance of the models was assessed using the area under the receiver operating characteristic curve(AUC)and the Hosmer-Lemeshow test.Results Baseline characteristics such as gestational age and birth weight differed significantly between the BPD group(n=147)and the non-BPD group(n=325)(P<0.05).Predictors of BPD evolved across time points:on day 1,key predictors included gestational age,birth weight,Score for Neonatal Acute Physiology II(SNAP-II),invasive mechanical ventilation,and fraction of inspired oxygen>30%;by day 7,additional variables emerged,including fasting duration>2 days,mean feeding advancement rate<8.5 mL/(kg·d),neonatal respiratory distress syndrome,apnea of prematurity,and positive sputum culture;from day 14 onward,nutrition-and treatment-related indicators were incorporated additionally.The models demonstrated good discrimination at postnatal days 1,7,14,21,and 28,with AUCs of 0.917,0.927,0.939,0.944,and 0.968,respectively,and good calibration(Hosmer-Lemeshow P>0.05).Internal validation showed AUCs ranging from 0.899 to 0.958,indicating robust performance.Conclusions Dynamic postnatal prediction models incorporating indicators spanning perinatal factors,respiratory support,nutritional management,and therapeutic interventions demonstrate high predictive performance and facilitate dynamic risk assessment for BPD in preterm infants with gestational age<32 weeks.

Objective To investigate the correlation between peripheral blood CD14+CD16+monocytes and IgG N-glycosyl levels and disease activity in patients with systemic lupus erythematosus(SLE).Methods A total of 109 SLE patients admitted to Xingtai Cental Hospital from August 2021 to November 2024 were retrospectively selected as the study objects.According to SLE disease activity index(SLE-DAI),the patients were divided into active group(n=52)and stable group(n=57).In addition,56 patients who underwent physical examination during the same period were selected as the control group.Clinical data of patients were collected,CD14+CD16+mononuclear cells were detected by flow cytometry(FCM),and IgG N-glycosyl levels were detected by hydrophilic interaction chromatography-mass spectrometry.Logistic regression analysis was performed to analyze the influencing factors of SLE-DAI,and multicollinearity test[variance inflation factor(VIF)]was performed for independent variables.The prediction model of disease activity was constructed.The effectiveness of the predictive model was evaluated by describing the recviver operator characteristic(ROC)curve and calculating the area under the curve(AUC)value.Hosmer-Lemeshow goodness-of-fit test predicted the calibration degree of the model.Results The levels of WBC,Hb,PLT,ALB,complement C3 and complement C4 in control group were higher than those in SLE group(t=8.917～22.171),and the levels of CRP were lower than those in SLE group(t=-17.359),with differences were statistical significance(all P<0.05).The CRP level and the proportion of CD14+CD16+mononuclear cells in the active group were higher than those in the stable group,and the differences were statistically significant(t=5.449,11.112,all P<0.05).The IgG glycosylation characteristics of galactosylation,sialylation and N-acetylglucosamine modification were lower than those in the stable group,and the differences were statistical significance(Z=-2.432～-0.158,all P<0.05).Spearman correlation analysis showed that the proportion of CD14+CD16+monocytes was significantly negatively correlated with IgG galactosylation,sialylation level and bisection N-acetylglucosamine modification(r=-0.656,-0.531,-0.608,all P<0.01).CD14+CD16+monocyte ratio was positively correlated with SLE-DIA(r=0.581,all P<0.01).IgG galactosylation,sialylation levels and bisection N-acetylglucosamine modification were negatively correlated with SLE-DIA(r=-0.645,-0.609,-0.503,all P<0.01).Logistic regression analysis showed that CRP>8.21mg/L,CD14+CD16+≥16.17%,sialylation<22.05%and isotropic N-acetylglucosamine modification<16.53%were independent risk factors for disease activity in SLE patients(Wald χ2=4.471～12.811,all P<0.05).The VIF values of the above independent variables were all less than 10.By establishing the Logistic regression prediction model and drawing the ROC curve,the AUC value for diagnosing SLE disease activity was 0.821(95%CI:0.733～0.905),the sensitivity,specificity and the Yodon index were 85.37%,75.67%,0.677,respectively.and the P values of Hosmer-Lemeshow goodness-of-fit test models were 0.568,respectively.Conclusion The proportion of CD14+CD16+monocytes in peripheral blood of SLE patients increase significantly,and the level of IgG glycosylation characteristics decrease,both of which are correlated with SLE-DIA.The predictive model constructed based on the two had a good ability to distinguish SLE-DIA from inactive state,with high sensitivity and moderate specificity conducive to early clinical recognition,and the model fitting effect is good.SLE-DIA can be evaluated more accurately.

Depression is a heterogeneous mental disorder in which the interaction between genetic susceptibility and environ-mental factors plays a key role in its pathogenesis.Although the specific mechanisms of the disease still need to be thoroughly studied and elucidated,there is now a broad consensus that epi-genetic markers have a central influence on its mechanism of ac-tion.DNA methylation of brain-derived neurotrophic factor(BD-NF)is not only regarded as a promising epigenetic biomarker of pathology,but may also help predict the efficacy of antidepres-sants.In this paper we reviewed the gene structure of BDNF and its DNA methylation regulation mechanism,and also analyzed the changes of DNA methylation of this factor in depression pa-tients and animal models,aiming to provide new ideas and theo-retical support for clinical research.

Aim To investigate the effect of neogam-bogic acid(NGA)on inducing ferroptosis in osteosar-coma K7M2 cells and subcutaneous transplanted tumor mice and explore the underlying mechanism.Methods MTT assay was employed to detect the effect of NGA(1,2,4,8,16,32,64,128 μmol·L-1)on cell prolif-eration,and the IC50 value was calculated.Calcein AM assay was used to detect cell viability.Transwell was applied to detect cell invasion.TEM was utilized to ob-serve the mitochondria morphology.K7M2 cells were subjected to treat with ferroptosis inducers erastin(Era)and inhibitors ferrostatin-1(Fer-1)to assess the levels of MDA,GSH,Fe2+,and LDH.RT-qPCR and Western blot were used to detect the mRNA and protein expression of STAT3,GPX4,and SLC7A11.A transplanted tumor model was established and treated with NGA to assess the impact of it on tumor growth and ferroptosis in vivo.HE staining was applied to ana-lyze the pathological status of tumor tissues.Nile red fluorescence staining was applied to detect the level of lipid components in tumor tissues.Results The pro-liferation,viability and invasion ability of K7M2 cells were significantly reduced after treatment with NGA at different concentrations(P＜0.05),and typical fea-tures of ferroptosis such as decreased mitochondrial vol-ume and reduced mitochondrial spine were observed.Compared to the control,the expression of MDA,Fe2+and LDH significantly increased(P＜0.01),while the content of GSH significantly decreased(P＜0.01).The ferroptosis in osteosarcoma was enhanced by the erastin,while inhibited by ferrostatin-1.In terms of mechanism,NGA inhibited the mRNA and protein ex-pression levels of STAT3,GPX4 and SLC7A11(P＜0.05).In vivo experiments confirmed that NGA signif-icantly improved the pathological state of tumor tissues,inhibited tumor growth,and induced ferroptosis in os-teosarcoma tissue cells.Conclusion NGA induces ferroptosis in osteosarcoma cells both in vitro and in vi-vo by inhibiting the STAT3/GPX4/SLC7A11 signaling axis,thereby exerting an anti-osteosarcoma effect.

Depression is a heterogeneous mental disorder in which the interaction between genetic susceptibility and environ-mental factors plays a key role in its pathogenesis.Although the specific mechanisms of the disease still need to be thoroughly studied and elucidated,there is now a broad consensus that epi-genetic markers have a central influence on its mechanism of ac-tion.DNA methylation of brain-derived neurotrophic factor(BD-NF)is not only regarded as a promising epigenetic biomarker of pathology,but may also help predict the efficacy of antidepres-sants.In this paper we reviewed the gene structure of BDNF and its DNA methylation regulation mechanism,and also analyzed the changes of DNA methylation of this factor in depression pa-tients and animal models,aiming to provide new ideas and theo-retical support for clinical research.

Aim To investigate the effect of neogam-bogic acid(NGA)on inducing ferroptosis in osteosar-coma K7M2 cells and subcutaneous transplanted tumor mice and explore the underlying mechanism.Methods MTT assay was employed to detect the effect of NGA(1,2,4,8,16,32,64,128 μmol·L-1)on cell prolif-eration,and the IC50 value was calculated.Calcein AM assay was used to detect cell viability.Transwell was applied to detect cell invasion.TEM was utilized to ob-serve the mitochondria morphology.K7M2 cells were subjected to treat with ferroptosis inducers erastin(Era)and inhibitors ferrostatin-1(Fer-1)to assess the levels of MDA,GSH,Fe2+,and LDH.RT-qPCR and Western blot were used to detect the mRNA and protein expression of STAT3,GPX4,and SLC7A11.A transplanted tumor model was established and treated with NGA to assess the impact of it on tumor growth and ferroptosis in vivo.HE staining was applied to ana-lyze the pathological status of tumor tissues.Nile red fluorescence staining was applied to detect the level of lipid components in tumor tissues.Results The pro-liferation,viability and invasion ability of K7M2 cells were significantly reduced after treatment with NGA at different concentrations(P＜0.05),and typical fea-tures of ferroptosis such as decreased mitochondrial vol-ume and reduced mitochondrial spine were observed.Compared to the control,the expression of MDA,Fe2+and LDH significantly increased(P＜0.01),while the content of GSH significantly decreased(P＜0.01).The ferroptosis in osteosarcoma was enhanced by the erastin,while inhibited by ferrostatin-1.In terms of mechanism,NGA inhibited the mRNA and protein ex-pression levels of STAT3,GPX4 and SLC7A11(P＜0.05).In vivo experiments confirmed that NGA signif-icantly improved the pathological state of tumor tissues,inhibited tumor growth,and induced ferroptosis in os-teosarcoma tissue cells.Conclusion NGA induces ferroptosis in osteosarcoma cells both in vitro and in vi-vo by inhibiting the STAT3/GPX4/SLC7A11 signaling axis,thereby exerting an anti-osteosarcoma effect.

AIM To study the chemical constituents from ethyl acetate fraction of Balanophora harlandii Hook.f.and their tyrosinase inhibitory activity.METHODS Separation and purification were performed using silica gel,MCI,ODS,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The monophenolase inhibitory activity was determined by the tyrosinase-catalyzed oxidation of L-tyrosine.RESULTS Twenty-four compounds were isolated and identified as sesamin(1),methyl caffeate(2),quercetin(3),5,7-dihydroxychromanone(4),methyl 3,4-dihydroxybenzoate(5),esculetin(6),kaempferol(7),naringenin(8),pyrogallic acid(9),pinosylvin(10),methyl propionate(11),caffeic acid(12),saccharinol(13),ferulic acid(14),trans-p-hydroxycinnamic acid(15),cinnamic acid(16),vanillic acid(17),vanillin(18),4-hydroxyacetophenone(19),4-hydroxybenzaldehyde(20),apigenin(21),(-)-isolariciresinol(22),(-)-secoisolariciresinol(23)and meso-2,3-di(3′,4′-methylenedioxybenzyl)butane-1,4-diol(24).The IC50 values of compounds 3,5,7,8,19,and 20 ranged from(0.246 5±0.028 3)to(1.278 2±0.021 3)mmol/L.CONCLUSION Compounds 1-9、11、15、17-21、24 are isolated from this plant for the first time,and 1,6,9,17-19,24 are first isolated from genus Balanophora.Compounds 3、5、7、8、19 and 20 have tyrosinase inhibitory activity.

Methods: Seventy-five patients with atlas fracture were included from January 2015 to December 2020. Based on the anatomy of the fracture line, atlas fractures were divided into three types. Each type was divided into two subtypes according to the fracture displacement. Unweighted Cohen kappa coefficients were applied to evaluate the reliability and reproducibility. Results: According to the new classification, 17 cases of type A1, 12 of type A2, seven of type B1, 13 of type B2, 12 of type C1, and 14 of type C2 were identified. The K-values of the interobserver and intraobserver reliability were 0.846 and 0.912, respectively, for the new classification. The K-values of interobserver reliability for types A, B, and C were 0.843, 0.799, and 0.898, respectively. The K-values of intraobserver reliability for types A, B, and C were 0.888, 0.910, and 0.935, respectively. The mean K-values of the interobserver and intraobserver reliability for subtypes were 0.687 and 0.829, respectively. Conclusions The new classification of atlas fractures can cover nearly all atlas fractures. This system is the first to evaluate the severity of fractures based on the C1 articular facet and fracture displacement and strengthen the anatomy ring of the atlas. It is concise, easy to remember, reliable, and reproducible.