Objective To preliminarily investigate the safety and efficacy of donor pancreas needle biopsy in simultaneous pancreas-kidney transplantation. Methods Clinical data of 7 cases undergoing donor pancreas biopsy were collected retrospectively. All cases underwent donor pancreas biopsy before or during simultaneous pancreas-kidney transplantation. Frozen section or paraffin sectioning techniques were used for tissue preparation, and hematoxylin-eosin and Masson staining were performed to histologically evaluate the donor pancreas. The quality of donor pancreas was comprehensively assessed by combining histological findings with the donor's clinical data. Postoperative follow-up data of 5 simultaneous pancreas-kidney transplant recipients were collected to summarize the safety of donor pancreas biopsy and the prognosis of transplant recipients. Results The 7 pancreas donors were aged 28 to 62 years, with a body mass index ranging from 20.76 to 27.68 kg/m². Liver ultrasound indicated fatty liver in 3 cases, while pancreatic ultrasound did not reveal any significant abnormalities. Among them, biopsy was performed on 2 donors after completion of pancreatic procurement and processing, and the frozen section histology showed moderate acute pancreatitis changes (edema of acinar cells, necrosis and inflammatory cell infiltration). Combined with a serum amylase level elevated more than 3 times the upper limit of normal value, these two donor pancreases were finally discarded. The remaining 5 cases underwent biopsy immediately after pancreatic vascular anastomosis during simultaneous pancreas-kidney transplantation, and histological evaluation was performed on paraffin-embedded sections. No biopsy-related complications (such as bleeding, pancreatic fistula, etc.) occurred after transplantation. One recipient died of severe infection 2 months after transplantation, while the other 4 recipients were followed up for more than 5 years, with well-functioning transplant kidneys and pancreases. Conclusions Donor pancreas biopsy is relatively safe, and the risk of biopsy-related complications after transplantation is controllable. Comprehensive assessment of donor pancreas quality by combining histological evaluation with the donor's clinical indicators is conducive to improving the accuracy of donor pancreas selection and organ utilization.

Lung transplantation is a definitive treatment for end-stage lung disease and can significantly improve patient prognosis. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury and chronic lung allograft dysfunction intertwine to form a complex pathological network, posing persistent challenges to long-term patient survival. In 2025, research teams worldwide have made systematic progress in the field of basic lung transplantation research. By integrating cutting-edge technologies including single-cell multi-omics, spatial transcriptomics and novel animal models, significant breakthroughs have been achieved in the evolutionary dynamics of drug-resistant infections, molecular mechanisms of immune regulation, programmed cell death, optimization of donor lung protection strategies and early warning of chronic lung allograft dysfunction. This article systematically reviews the representative advances in basic lung transplantation research worldwide in 2025, and deeply analyzes the implications of mechanistic breakthroughs for optimizing diagnosis and treatment strategies, aiming to anchor the direction for innovative breakthroughs and clinical translation in basic lung transplantation research.

Didangtang is a classic formula for treating blood stasis and heat， as recorded in the Treatise on Febrile Diseases， and it has been highly praised by medical practitioners throughout history. It has been recorded in many traditional Chinese medical texts and used to this day. This article comprehensively examined the records of Didangtang in different ancient versions of Treatise on Febrile Diseases by excavating and sorting out related ancient medical books and modern literature. It also investigated the dosage unit measurement， preparation method， and content of the formula in medical books throughout history. The article provided a detailed summary and exploration of the origins and processing methods of rhubarb， peach kernels， leeches， and flies in the formula. At the same time， it reviewed the clinical practice of Didangtang by medical practitioners throughout history in relevant medical books， mainly including the adjustment of dosage forms， the increase or decrease in medicinal taste and dosage， the expansion of clinical application， and the creation and elucidation of similar formulas. Although there may be differences in the above information among medical practitioners throughout history， the basic idea of attacking blood stasis and heat is consistent. In addition， based on clinical practice， the author adhered to the principle of treating stasis and heat disease as the first reference when using Didangtang. It was suggested that blood should be circulated instead of stopping in the treatment of stasis and heat accumulation syndrome. At the same time， it was believed that the use of the method of attacking stasis and heat to regulate brain diseases and mental illnesses derives from the fact that removing stasis and generating new energy can nourish the heart and mind， providing ideas for the treatment of such diseases with Didangtang. On this basis， modern clinical and animal experiments have shown that Didangtang has certain effects in improving microcirculation disorders， regulating blood rheology and hemodynamics， enhancing insulin resistance， and inhibiting inflammatory reactions. This may be an important mechanism for the formula to ''conquer blood stasis and heat''. This article explored the textual research and clinical mechanism of Didangtang， presenting facts and evidence， so as to provide a reference for the clinical application of Didangtang and the research on other prescriptions.

AIM: To observe the influence of different intraocular lens implantation methods on visual quality in patients with cataract.METHODS: Retrospective study. Totally 85 patients(113 eyes)with cataract who received phacoemulsification combined with intraocular lens implantation in the hospital June 2020 to December 2023 were selected. According to the different implanted lenses, they were divided into monofocal group(42 cases, 55 eyes)and bifocal group(43 cases, 58 eyes). The uncorrected near visual acuity(UNVA), uncorrected intermediate visual acuity(UIVA), uncorrected distance visual acuity(UDVA), best corrected near visual acuity(BCNVA), best corrected intermediate visual acuity(BCIVA), best corrected distance visual acuity(BCDVA), contrast sensitivity(CS), objective visual quality, National Eye Institute 25-item Visual Function Questionnaire(NEI-VFQ-25)scores and complications were compared between both groups of patients at 3 mo after surgery.RESULTS:At 3 mo after surgery, the UNVA(LogMAR)of the bifocal group was significantly better than that of the monofocal group(0.24±0.06 vs 0.53±0.13, P<0.001), but there were no statistical differences in UIVA, UDVA, BCNVA, BCIVA and BCDVA between the two groups(all P>0.05). The 18 c/d spatial frequency scotopic CS in the bifocal group at 3 mo after surgery was significantly lower than that in the monofocal group(0.84±0.17 vs 0.92±0.22, P<0.05), while the CS in other frequency was not statistically significant(all P>0.05); the objective scatter index(OSI)was higher in the bifocal group than that in the monofocal group(P<0.05), while OV 20% and OV 9% were lower than those in monofocal group(all P<0.05), but there were no statistically significant differences in modulation transfer function cut off(MTFcut off), Strehl ratio(SR)and OV 100% between the two groups(all P>0.05). The scores of overall visual acuity and near visual activity in the bifocal group at 3 mo after surgery were higher than those in the monofocal group(all P<0.001), but there were no statistical differences in the scores of dimensions of overall health, distance visual activity, peripheral visual acuity, color vision, dependence degree, social function, social role and mental health between the two groups(all P>0.05). Furthermore, there were no statistical significance in the incidence of complications in the two groups(P>0.05).CONCLUSION: Phacoemulsification combined with bifocal intraocular lens implantation can provide more ideal near visual acuity and visual-related quality of life for patients with cataract, but its objective visual quality is worse, The two types of intraocular lenses have their own advantages and disadvantages, and it is still necessary to choose the appropriate intraocular lens according to the actual needs of patients.

AIM: To observe the influence of different intraocular lens implantation methods on visual quality in patients with cataract.METHODS: Retrospective study. Totally 85 patients(113 eyes)with cataract who received phacoemulsification combined with intraocular lens implantation in the hospital June 2020 to December 2023 were selected. According to the different implanted lenses, they were divided into monofocal group(42 cases, 55 eyes)and bifocal group(43 cases, 58 eyes). The uncorrected near visual acuity(UNVA), uncorrected intermediate visual acuity(UIVA), uncorrected distance visual acuity(UDVA), best corrected near visual acuity(BCNVA), best corrected intermediate visual acuity(BCIVA), best corrected distance visual acuity(BCDVA), contrast sensitivity(CS), objective visual quality, National Eye Institute 25-item Visual Function Questionnaire(NEI-VFQ-25)scores and complications were compared between both groups of patients at 3 mo after surgery.RESULTS:At 3 mo after surgery, the UNVA(LogMAR)of the bifocal group was significantly better than that of the monofocal group(0.24±0.06 vs 0.53±0.13, P<0.001), but there were no statistical differences in UIVA, UDVA, BCNVA, BCIVA and BCDVA between the two groups(all P>0.05). The 18 c/d spatial frequency scotopic CS in the bifocal group at 3 mo after surgery was significantly lower than that in the monofocal group(0.84±0.17 vs 0.92±0.22, P<0.05), while the CS in other frequency was not statistically significant(all P>0.05); the objective scatter index(OSI)was higher in the bifocal group than that in the monofocal group(P<0.05), while OV 20% and OV 9% were lower than those in monofocal group(all P<0.05), but there were no statistically significant differences in modulation transfer function cut off(MTFcut off), Strehl ratio(SR)and OV 100% between the two groups(all P>0.05). The scores of overall visual acuity and near visual activity in the bifocal group at 3 mo after surgery were higher than those in the monofocal group(all P<0.001), but there were no statistical differences in the scores of dimensions of overall health, distance visual activity, peripheral visual acuity, color vision, dependence degree, social function, social role and mental health between the two groups(all P>0.05). Furthermore, there were no statistical significance in the incidence of complications in the two groups(P>0.05).CONCLUSION: Phacoemulsification combined with bifocal intraocular lens implantation can provide more ideal near visual acuity and visual-related quality of life for patients with cataract, but its objective visual quality is worse, The two types of intraocular lenses have their own advantages and disadvantages, and it is still necessary to choose the appropriate intraocular lens according to the actual needs of patients.

Objective To investigate the effects of different anesthesia depths on stress states and inflammatory mediators in patients undergoing video-assisted thoracoscopic lobectomy.Methods A total of 89 lung cancer patients who underwent video-assisted thoracoscopic lobectomy were selected as study subjects.Based on intraoperative bispectral index(BIS)range,the patients were divided into deep anesthesia group(BIS of 40 to＜50,n=45)and shallow anesthesia group(BIS of 50 to＜60,n=44).Vital signs(mean arterial pressure,heart rate and blood oxygen saturation),anesthesia re-covery time,extubation time,dosage of vasoactive drugs,postoperative pain intensity[Visual Ana-logue Scale(VAS)],postoperative analgesic dosage,perioperative stress state[prostaglandin E2(PGE2),nerve growth factor(NGF)and substance P(SP)],levels of inflammatory mediators[neuron-specific enolase(NSE),tumor necrosis factor-α(TNF-α)and S100β protein]at different time points(before anesthesia induction,immediately after intubation,before lesion resection and at the end of surgery)and the incidence of anesthesia-related adverse reactions were compared between the two groups.Results Before lesion resection and at the end of surgery,the mean arterial pressure and heart rate in the deep anesthesia group were significantly lower than those in the shallow anesthe-sia group(P＜0.05).The anesthesia recovery time and extubation time in the deep anesthesia group were significantly longer than those in the shallow anesthesia group(P＜0.05).At the end of surgery and on postoperative day one,the levels of PGE2,NGF and SP in the deep anesthesia group were significantly lower than those in the shallow anesthesia group,while the levels f NSE,TNF-α and S100β protein were significantly higher than those in the shallow anesthesia group(P＜0.05).There were no significant differences in the dosage of vasoactive drugs,VAS scores,sufentanil dos-age and the incidence of anesthesia-related adverse reactions between thetwo groups(P＞0.05).Conclusion During one-lung ventilation in patients undergoing video-assisted thoracoscopic surgery lobectomy,deep anesthesia can effectively control surgical stress and maintain stability of intraopera-tive hemodynamics,but it is associated with delayed postoperative awakening and more pronounced inflammatory response.Shallow anesthesia results in faster postoperative awakening and lower levels of inflammatory mediators,but it is associated with more significant intraoperative stress response and unstable hemodynamics.

Objective To construct a database for molecular mass spectra of toxins and drugs in order to facilitate the management and retrieval of mass spectra for nerve agents,metabolites and other small molecules.Methods Requirement analysis and functional design were performed using software engineering methods.The Spec2Vec algorithm was used for vector representation of mass spectra,while SMILES molecular structures were vectorized using the extended connectivity fingerprint(ECFP).A data storage model integrating structured information and vector representations was established using the Milvus database.Similarity search of mass spectra and molecular structures was conducted via vector similarity comparison and the FlashEntropySearch algorithm.Results The constructed database of mass spectra encompassed over 400,000 entries from such sources as OCAD,NIST,MASSBANK,metabolic products,and natural products of TCM,which was capable of searching for similarities in mass spectra and molecular structures.On a standard server,similarity search of mass spectra took no more than 5 seconds,while that of molecular structures took no more than 1 second.Conclusion The system enables efficient management of complex mass spectra and provides rapid retrieval and comparison of mass spectra-related information through advanced vector indexing technology,offering robust data support and research tools for toxicology and pharmacology.

Objective To investigate the mechanisms by which astaxanthin(AST)alleviates oxaliplatin(OXA)-induced neuropathic pain through antioxidant pathways so as to provide theoretical basis for clinical intervention.Methods Animal experiments:SD rats were divided into five groups(n=6):control group,OXA(4 mg/kg)group,OXA+Oil group,OXA+AST(5 mg/kg)group,and OXA+AST(10 mg/kg)group.Mechanical and cold pain thresholds were measured at day 0,7,14,and 21.Malondialdehyde(MDA)content and superoxide dismutase(SOD)activity in the dorsal root ganglia(DRG)were detected using the thiobarbituric acid(TBA)method and WST-1 assay,respectively.Western blotting was performed to analyze the expressions of Nrf2 and HO-1.Cell experiments:neuro-2a cells were divided into control group,OXA(50 μmol/L)group,AST(10 μmol/L)group,and OXA(50 μmol/L)+AST(10 μmol/L)group.Cells were treated with nerve growth factor(NGF,50 ng/mL)to induce growth,and morphological changes were observed under an inverted microscope.Intracellular reactive oxygen species(ROS)level and mitochondrial superoxide were measured using DCFH-DA fluorescent probe and MitoSOXTM red,respectively.Mitochondrial function was assessed by JC-1 assay.Western blotting was used to detect Nrf2 and HO-1 expressions.Results Animal experiments:① Mechanical and cold pain thresholds were reduced in OXA and OXA+Oil groups(P＜0.05),while AST significantly increased these thresholds in OXA-treated rats(P＜0.05).② SOD activity decreased while MDA content increased in the DRG of OXA-treated rats(P＜0.05).AST restored SOD activity and reduced MDA level(P＜0.05,P＜0.01).③ Western blotting showed elevated Nrf2 and HO-1 expressions in OXA group(P＞0.05),which were further upregulated by AST(P＜0.05,P＜0.01).Cell experiments:① OXA reduced the number of neurite-bearing cells and shortened the average neurite length(P＜0.05).Inverted microscopic observation revealed that AST intervention increased both parameters(P＜0.01,P＜0.001).② OXA increased intracellular and mitochondrial ROS fluorescence intensity(P＜0.05),which was attenuated by AST(P＜0.01).③ JC-1 assay revealed decreased mitochondrial membrane potential in OXA group(P＜0.01),which was partially reversed by AST(P＜0.05).④ Western blotting results showed that OXA upregulated Nrf2 and HO-1 expressions(P＜0.05,P＜0.01),and AST further enhanced their levels(P＜0.01).Conclusion AST alleviates OXA-induced neuropathic pain by promoting Nrf2/HO-1 expression,enhancing SOD activity,reducing lipid peroxidation and ROS production,and improving mitochondrial function.

Objective:To investigate the prognostic factors for esophageal cancer after radical resection and the application value of machine learning prediction model.Methods:The retrospective cohort study was conducted. The clinicopatholigical data of 406 esophageal cancer patients who were admitted to Qilu Hospital of Shandong University from January 2018 to March 2022 were collected. There were 357 males and 49 females, aged (64±8)years. All patients underwent radical resection of esophageal cancer. The 406 patients were randomly divided into a training set of 285 cases and a validation set of 121 cases at a 7∶3 ratio based on a random number table. The training set was used to construct prediction model, and the validation set was used to validate prediction model. Patients were divided into high-risk group and low-risk group based on risk scores. Observation indicators: (1) follow-up of patients and analysis of influencing factors for prognosis; (2) construction and validation of machine learning prediction models. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the rank sum test. The Kaplan-Meier method was used to calculate survival rate and plot survival curve, and the Log-rank test was used for survival analysis. The Cox proportional hazard regression model was used for univariate and multivariate analyses. Independent influencing factors were included, and data processing, machine learning model construction, and visualization were performed using R packages including random survival forest (RSF), gradient boosting machine (GBM), least absolute shrinkage and selection operator Cox regression (LASSO-Cox), Cox proportional hazards model boosting (CoxBoost), survival support vector machine (survivalsvm), extreme gradient boosting (XGBoost), supervised principal component analysis (SuperPC), and Cox partial least squares regression (plsRcox). Receiver operating characteristic (ROC) curves were drawn, and sensitivity, specificity, and area under the curve (AUC) were calculated. The Delong test was used to assess the differences in AUC among different models in the training set, and the time-dependent ROC was used to compare the predictive performance of different models. Calibration curves were used to evaluate model accuracy, and decision curve analysis (DCA) was used to evaluate overall net benefit. Results:(1) Follow-up of patients and analysis of influencing factors for prognosis. All 406 patients were followed up postoperatively for 28(range, 6-36)months, with 1- and 3-year overall survival rate of 86.5% and 40.9%, respectively. The 285 patients in the training set were followed up postoperatively for 30(range, 6-36)months, with 1- and 3-year overall survival rate of 85.1% and 35.5%, respectively. The 121 patients in the validation set were followed up postoperatively for 25(range, 6-36)months, with 1- and 3-year overall survival rate of 87.0% and 43.2%, respectively. There was no significant difference in postoperative overall survival rate between the training set and the validation set ( χ2=3.20, P>0.05). Results of multivariate analysis showed that left thoracic surgical approach, preopera-tive neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia were independent risk factors affecting postoperative survival of 285 patients in the training set ( hazard ratio=1.466, 1.037, 1.482, 1.549, 5.268, 7.727, 22.202, 2.539, 2.686, 1.425, 95% confidence interval as 1.026-2.096, 1.003-1.073, 1.008-2.179, 1.105-2.170, 1.201-23.099, 1.833-32.576, 4.734-104.128, 1.577-4.087, 1.631-4.422, 1.018-1.994, P<0.05). (2) Construction and validation of machine learning prediction models. Independent risk factors affecting postoperative survival were included to construct RSF, GBM, LASSO-Cox, CoxBoost, survivalsvm, XGBoost, SuperPC, and plsRcox machine learning prediction models. Results of Delong test showed that there were significant differences in the AUC of RSF and GBM from the other six models ( P<0.05). Results of time-dependent ROC curve showed that all 8 machine learning predic-tion models had good discriminative ability in the training cohort, among which the RSF machine learning prediction model had the best predictive performance. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postoperative 1-, 2-, and 3-year overall survival in the training cohort, with high consistency with actual results. Results of decision curve analysis showed that within a threshold range of 0-0.80, the RSF machine learning prediction model provided a better overall net benefit. Further analysis showed that in the validation set, the AUC of RSF machine learning prediction model for postoperative 1-, 2-, and 3-year survival prediction were 0.786 (95% confidence interval as 0.609-0.962), 0.774 (95% confidence interval as 0.676-0.873), and 0.750 (95% confidence interval as 0.652-0.848), respectively. Results of calibration curve showed that the RSF machine learning prediction model fitted well for predicting postopera-tive 1-, 2-, and 3-year overall survival in the validation set, with high consistency with actual results. In the training set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score <11.7 as the low-risk group. The median survival times of the two groups were 18.0 months and >36.0 months, respectively, showing a significant difference between them ( χ2=73.30, P<0.05). In the validation set, the optimal cutoff value of the RSF machine learning prediction model risk score was 11.7. Patients with risk score ≥11.7 were classified as the high-risk group, and those with risk score<11.7 as the low-risk group. The median survival times of the two groups were 17.0 months and>36.0 months for the high-risk and low-risk groups, respectively, showing a significant difference between them ( χ2=35.20, P<0.05). Conclusions:Left thoracic surgical approach, preoperative neutrophil count, vascular invasion, perineural invasion, pathological T2-4 stage, pathological N2-3 stage, and postoperative pneumonia are independent risk factors affecting survival of esophageal cancer patients after radical resection. The RSF machine learning prediction model constructed based on these factors can effectively distinguish the survival prognosis of high-risk and low-risk patients.

BACKGROUND:Diabetes exacerbates intervertebral disc degeneration in a number of ways,and good glycemic control is beneficial in preventing intervertebral disc degeneration.OBJECTIVE:To review the relationship between diabetes and intervertebral disc degeneration to provide a reference for the clinical treatment of disc degeneration in patients with diabetes.METHODS:Literature searches were performed in CNKI and PubMed databases for articles published from 1980 to 2023.The Chinese and English search terms were"diabetes,intervertebral disc degeneration,cartilage endplate degeneration,apoptosis,advanced glycation end products,osmotic stress."Finally,73 articles were included for summary and analysis.RESULTS AND CONCLUSION:(1)The pathophysiological process of diabetes-induced intervertebral disc degeneration is different from that of physiological degeneration.The main mechanisms of diabetes-induced intervertebral disc degeneration include:intracellular hyperglycemia,impaired blood supply to the intervertebral discs due to microvascular pathology,cellular senescence,apoptosis,and autophagy,accumulation of advanced glycation end products,osmotic stress,and destruction of the extracellular matrix components due to other pathways.(2)Drugs such as curcumin,resveratrol,and lupeol have therapeutic effects on intervertebral disc degeneration,but their safety and effectiveness need to be further demonstrated in clinical treatment.