Objective To systematically analyze the literature characteristics of Journal of Organ Transplantation since its inception. Methods Using the China National Knowledge Infrastructure (CNKI) academic journal full-text database as the data source, all articles published in the Journal of Organ Transplantation from January 2010 to August 2025 were retrieved. After excluding non-academic papers, a total of 1 568 research papers were included. R language 4.3.0, Bibliometrix package 3.2.1, and Citespace software were used to analyze the number of publications, publishing institutions, authors, keywords and other aspects. Results The number of publications in Journal of Organ Transplantation increased from an average of 82 articles per year in the early years after its inception to 113 articles per year in recent years, a growth of 37.8%. The geographical distribution of publishing institutions covers 32 provinces, cities and autonomous regions nationwide, mainly concentrated in the South China, East China and North China regions, and has now basically covered the central and western regions in recent years. The author collaboration network includes 45 authors distributed across 7 major collaboration clusters, forming a stable multi-level national research system centered on key university-affiliated hospitals. The high-frequency keywords are dominated by "liver transplantation" (425 times) and "kidney transplantation" (396 times). The theme evolution shows a clear three-stage characteristic: initially focusing on clinical technology application, deepening to immune mechanism exploration in the middle stage, and recently (since 2022) focusing on cutting-edge research areas such as xenotransplantation. Conclusions Journal of Organ Transplantation has witnessed the rapid development of China's organ transplantation cause, fully reflecting the research status and trends in China's organ transplantation field, and has provided an important platform for the future development and international cooperation in China's organ transplantation field.

ObjectiveTo analyze the research status and development trends of non-pharmacological therapies for post-stroke spasticity (PSS) over the past two decades. MethodsRelevant literatures on non-pharmacological rehabilitation of PSS published from January, 2004 to June, 2024 were retrieved from Web of Science Core Collection. CiteSpace 6.3.R6 and VOSviewer 1.6.18 were used for visualization analysis. ResultsA total of 780 publications were included. The annual number of publications showed an overall upward trend. China, the USA, and Italy contributed the highest number of publications. The Hong Kong Polytechnic University and researcher Noureddin Nakhostin Ansari were identified as the most influential institution and author, respectively. High-frequency keywords and cluster labels included electric stimulation, transcranial magnetic stimulation, robot and acupuncture. ConclusionOver the past 20 years, researches on non-pharmacological therapies for PSS have remained active, with hotspots focusing on diverse interventions such as electrical stimulation, magnetic stimulation and robot-assisted therapy.

ObjectiveTo construct and validate a clinical prediction model for inflammatory remission outcomes in rheumatoid arthritis （RA） patients with liver and kidney deficiency syndrome treated with Bushen Zhiwang Decoction （补肾治尪汤， BZD） based on metabolomics. MethodsA prospective cohort study was conducted， enrol-ling 60 RA patients with liver and kidney deficiency syndrome. All patients were treated with BZD and conventional-dose oral conventional synthetic disease-modifying antirheumatic drugs （csDMARDs） for 12 months. Clinical data were collected， and the change in disease activity score in 28 joints （DAS28） after treatment compared with baseline （△DAS28） was used as the primary outcome and grouping criterion. Peripheral blood samples were collected before treatment to analyze plasma metabolites. Differential analysis and least absolute shrinkage and selection operator （LASSO） regression were used to preliminarily screen differential metabolites， followed by machine learning algorithms to further identify a core metabolite combination. Based on the expression levels of the core metabolite combination， a novel metabolite index， namely the metabolomics-based inflammatory remission score （Met-IRS）， was calculated using standar-dized metabolite values， and its clinical applicability was evaluated. A clinical prediction model was constructed by integrating clinical characteristics and Met-IRS， and the model performance was assessed. ResultsAmong the 60 patients， those with △DAS28 ≥ 0.27 were assigned to the high inflammatory remission group， while those with △DAS28 ＜ 0.27 were assigned to the low inflammatory remission group， with 30 cases in each group. Compared to the low inflammatory remission group， the high inflammatory remission group showed a higher frequency of methotrexate use and a lower positive rate of rheumatoid factor （RF） （P＜0.05）. Seven core metabolites were identified as the optimal combination， including mangiferic acid， fatty acid-hydroxy fatty acid ester 40∶6， fatty acid-hydroxy fatty acid ester 18∶0， fatty acid-hydroxy fatty acid ester 36∶1， glucosylceramide， lysophosphatidylcholine 22∶5， and pregnanetriol ketone. The calculated Met-IRS comprehensively reflected the characteristics of differential metabolites and demonstrated clinical applicability. Met-IRS was significantly higher in the high inflammatory remission group than in the low inflammatory remission group， and was positively correlated with high inflammatory remission outcomes （P＜0.05）. Based on the variables Met-IRS， methotrexate use， leflunomide use， and RF positivity， a clinical prediction model for inflammatory remission in RA treatment （Cj-RTRM） was constructed. Model performance evaluation demonstrated that the model had good clinical predictive ability， with an area under the receiver operating characteristic curve （AUC） of 0.880， sensitivity 0.967， specificity 0.700 and Youden's index 0.667. ConclusionThe clinical prediction model Cj-RTRM constructed based on the metabolomics-based inflammatory remission score Met-IRS can effectively predict clinical inflammatory remission outcomes in RA patients treated with BZD and accurately identify the advantageous population for this treatment. This model provides guiding evidence for dynamic inflammation monitoring， targeted management， and identification of populations with advantages in traditional Chinese medicine.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

The initiation of adaptive immune responses relies on the precise recognition and interpretation of antigenic information. In this process, the specific binding of T cell receptors (TCRs) to peptide-major histocompatibility complex (pMHC) molecules represents one of the key molecular events in the initiation of adaptive immune responses. Accordingly, the structural features of TCR-pMHC complexes provide a fundamental basis for dissecting antigen recognition mechanisms and support rational vaccine design, therapeutic target discovery in TCR-based immunotherapy, and TCR identification and optimization. However, experimental determination of TCR-pMHC structures remains costly, time-consuming, and limited in coverage, making computational approaches essential for rapidly obtaining reliable structural information. Computational methods for predicting the structures of TCR-pMHC complexes have advanced rapidly in recent years, driven by progress in deep learning-based modeling frameworks and the increasing availability of structural and sequence resources. Despite these developments, most existing tools do not adequately distinguish the key structural and biophysical differences between MHC class I (MHC-I) and MHC class II (MHC-II) complexes during model construction. As a consequence, their predictive performance differs substantially between class I and class II complexes. In general, structural predictions for class I complexes outperform those for class II complexes. This discrepancy may be related to several fundamental differences between the two systems, including the architecture of the peptide-binding groove, the distribution of peptide lengths, and the properties of peptide flanking residues (PFRs). Compared with MHC-I molecules, MHC-II molecules usually bind longer antigenic peptides, which typically range from 13 to 25 amino acids in length. PFRs at both termini of these peptides participate in regulating the overall conformation of TCR-pMHC class II complexes and exert a pronounced effect on the geometric and physicochemical characteristics of the TCR-pMHC binding interface. Furthermore, within the TCR recognition interface, the complementarity-determining regions (CDRs) consist of segments that differ markedly in conformational behavior. They commonly include regions that are relatively rigid and structurally stable, together with highly flexible segments exhibiting substantial conformational plasticity. These rigidity-flexibility features constitute an essential structural basis enabling TCRs to recognize diverse peptide-MHC ligands and to accommodate conformational heterogeneity at the interface. However, many current modeling tools, in an effort to enforce global conformational stability or reduce structural noise, tend to over-constrain intrinsically flexible regions. Such oversimplification may lead to inappropriate rigidification of flexible CDR loops, resulting in local structural distortions, compromised interface geometry, or even complete modeling failure for specific complexes. Against this background, the review approaches the field from the perspective of computational differences between MHC-I and MHC-II complexes. We first systematically organize and summarize available resources related to TCRs and pMHCs, including structural datasets, sequence databases, prediction tools, and benchmarking studies. We then focus on five representative tools capable of predicting both class I and class II complexes—AlphaFold2, AlphaFold3, TCRmodel2, tFold-TCR, and TCR-pHLA_ModellerS. After excluding structures present in the training sets of these tools, we constructed a benchmark dataset comprising 25 class I and 10 class II TCR-pMHC complexes in the bound state and conducted a systematic evaluation using this dataset. We first employ widely used general evaluation metrics, including All-Atom Root Mean Square Deviation (All-Atom RMSD), Backbone RMSD, Template Modeling score (TM-score), and DockQ, to assess the global conformational accuracy and interface modeling quality of class I and class II complexes. For class II complexes, we propose for the first time a peptide flanking residue deviation index, including the PFRs-Deviation Index (PFRs-DI), N-PFR-Deviation Index (N-PFR-DI), and C-PFR-Deviation Index (C-PFR-DI), to quantitatively characterize conformational deviations in PFRs. In addition, we propose the CDR conformational consistency index (CCC) designed to qualitatively evaluate the ability of prediction tools to capture TCR CDR conformational flexibility. These metrics collectively assess a tool’s ability to model both overall conformation and critical functional regions, thereby addressing the limitations of existing evaluation criteria that overemphasize global structure while inadequately capturing modeling quality in key functional areas. This establishes a unified analytical framework for MHC-I and MHC-II complexes to guide data resource selection, modeling strategy formulation, and evaluation system development. The framework further advances computational modeling and provides crucial support for multi-scale analysis of TCR-pMHC recognition mechanisms and their biological functions.

ObjectiveTo study the effect and mechanism of Shentong Zhuyutang in treating intervertebral disc degeneration （IDD） in rats. MethodsIn the cell experiment， male rats were administrated with normal saline or low-， medium-， and high-dose （3.38， 6.75，13.5 g·kg^-1， respectively） Shentong Zhuyutang by gavage， respectively， and serum samples were collected after 7 days of continuous administration. Another 10 male rats were selected for the isolation of nucleus pulposus cells. The cell model of IDD was established by treatment with interleukin （IL）-1β. The modeled cells were then treated with Shentong Zhuyutang-containing serum and the ferroptosis inhibitor ferrostatin-1 （Fer-1）， respectively， to investigate the effects of Shentong Zhuyutang-containing serum on the proliferation and ferroptosis of nucleus pulposus cells. To study the role of silent information regulator 1 （SIRT1）/nuclear factor erythroid 2-related factor 2 （Nrf2） in the regulation of ferroptosis in nucleus pulposus cells by Shentong Zhuyutang-containing serum， this study treated the cells with the SIRT1 inhibitor Ex 527 and the Nrf2 inhibitor ML385， respectively， in addition to the treatment with IL-1β and high-dose Shentong Zhuyutang-containing serum. The cell-counting kit-8 （CCK-8） assay and EdU staining were employed to measure the cell viability and proliferation， respectively. The Fe²⁺， glutathione （GSH）， and malondiadehyde （MDA） levels were measured by colorimetric assay. Western blot was employed to determine the protein levels of glutathione peroxidase 4 （GPX4）， acyl-CoA synthetase long-chain family 4 （ACSL4）， Collagen Ⅱ， Aggrecan， SIRT1， and Nrf2. Immunofluorescence was used detect SIRT1 expression. In the animal experiment， male rats were treated with anulus puncture for the modeling of IDD. Rats were randomly assigned into sham operation， model， Shentong Zhuyutang-containing serum （13.5 g·kg^-1）， and positive control （nimesulide dispersible tablets， 0.18 mg·kg^-1） groups. Rats in the drug intervention groups were administrated with corresponding agents at 1 mL·kg^-1， and those in the sham operation and model groups were administrated with equal volumes of normal saline， once daily for 28 consecutive days. At the end of the last administration， the histopathological changes in the intervertebral discs of rats were observed by hematoxylin-eosin staining and scored by the Masuda method. Western blot was employed to determine the protein levels of SIRT1， Nrf2， GPX4， and Collagen Ⅱ in the nucleus pulposus tissue. ResultsCompared with the control group， the IL-1β group of nucleus pulposus cells showed elevated levels of Fe²⁺， MDA， and ACSL4 （P<0.05）， decreased cell viability， lowered GSH level， and down-regulated protein levels of GPX4， Collagen Ⅱ， and Aggrecan （P<0.05）. Shentong Zhuyutang-containing serum and Fer-1 reversed the effects of IL-1β on the viability and ferroptosis of nucleus pulposus cells and up-regulated the protein levels of Collagen Ⅱ and Aggrecan in nucleus pulposus cells （P<0.05）. Compared with the control group， the IL-1β group showcased down-regulated expression of Sirt1 and Nrf2 in nucleus pulposus cells （P<0.05）. Compared with the IL-1β group， the high-dose Shentong Zhuyutang-containing serum+IL-1β group showed up-regulated expression of SIRT1 and Nrf2 in nucleus pulposus cells （P<0.05）. Compared with the high-dose Shentong Zhuyutang-containing serum+IL-1β group， the ML385 group showed down-regulated protein levels of Nrf2 and GPX4， lowered GSH level， and elevated Fe²⁺ and MDA levels （P<0.05）. In addition， the Ex 527 group showed down-regulated protein levels of SIRT1， Nrf2， and GPX4 （P<0.05）. The results of the animal experiment showed that compared with the sham operation group， the model group had severe degeneration of the intervertebral disc tissue with increased pathological score， up-regulated protein level of ACSL4 （P<0.05）， and down-regulated protein levels of SIRT1， Nrf2， GPX4， and Collagen Ⅱ （P<0.05）. Compared with the model group， the Shentong Zhuyutang group showed alleviated IDD with declined pathological score， down-regulated protein level of ACSL4 （P<0.05）， and up-regulated protein levels of SIRT1， Nrf2， GPX4， and Collagen Ⅱ （P<0.05）. ConclusionShentong Zhuyutang may activate the SIRT1/Nrf2 signaling pathway to inhibit the ferroptosis of nucleus pulposus cells， thereby delaying the process of IDD in rats.

BACKGROUND:Inflammation and apoptosis play key roles in the pathological process of cervical spondylotic myelopathy.Previous studies have shown that Pueraria lobata decoction has favorable therapeutic effects on cervical spondylotic myelopathy.OBJECTIVE:To investigate the effects and mechanism of Pueraria lobata decoction in neuroinflammatory response and apoptosis in rats with cervical spondylotic myelopathy.METHODS:Sixty Sprague-Dawley rats were randomly divided into six groups:a normal group,a sham-operated group,a model group,and three groups that received low,medium,and high doses of Pueraria lobata decoction.An animal model of cervical spondylotic myelopathy was constructed through compression of the spinal cord with water-absorbing and expanding material.Gastric administration of Pueraria lobata decoction(4.86,9.72,and 19.44 g/kg)was given in the three Pueraria lobata decoction groups 2 weeks after surgery,and the resting groups were given saline by gavage,once daily for 4 weeks.Motor function evaluation(Basso-Beattie-Bresnahan score)was performed in rats on days 1,7,14,21 and 28 after drug administration.At 4 weeks after drug administration,hematoxylin-eosin staining was used to observe the pathomorphologic changes in spinal cord tissue;immunofluorescence double staining was used for the detection of microglial cell polarization in spinal cord tissue;quantitative fluorescence PCR was used to detect the changes in the expression of interleukin-6 and interleukin-1β mRNA;western blot assay was used to detect the protein expression of p-NF-κB p65,NF-κB p65,NLRP3,ASC,Cleaved Caspase-1,Bax,Bcl-2,Cleaved Caspase-3,NOX4,p-Drp1,Drp1,and Mfn2 in spinal cord tissues;TUNEL assay was used to detect apoptosis in spinal cord tissues;and DHE staining was used to detect reactive oxygen species levels in rat spinal cord tissues.RESULTS AND CONCLUSION:(1)Compared with the normal and sham-operated groups,reduced Basso-Beattie-Bresnahan scores were observed in the model group(P<0.05),spinal cord neurons were crumpled and malformed with vacuolike changes.The Basso-Beattie-Bresnahan scores in the low-,medium-and high-dose Pueraria lobata decoction groups were significantly higher than those in the model group(P<0.05),and spinal cord neuronal damage reduced significantly.(2)Compared with the normal and sham-operated groups,there were elevated levels of Iba-1 and inducible nitric oxide synthase proteins and increased interleukin-6 and interluekin-1β mRNA expression in the spinal cord tissue of rats in the model group(P<0.05).The expression levels of Iba-1,inducible nitric oxide synthase,p-NF-κB,NLRP3,ASC and cleaved caspase-1 proteins as well as interleukin-6 and interleukin-1β mRNAs in the spinal cord tissues of rats in the low-,medium-and high-dose Pueraria lobata decoction groups were reduced compared with those in the model group(P<0.05).(3)Compared with the normal and sham-operated groups,the rate of TUNEL-positive cells and the levels of Bax and cleaved caspase-3 proteins were increased in the spinal cord tissues of rats in the model group(P<0.05),while the expression of Bcl-2 protein was reduced(P<0.05).Compared with the model group,the above indexes were significantly improved in the low-,medium-and high-dose Pueraria lobata decoction groups.(4)Compared with the normal and sham-operated groups,the model group exhibited increased levels of reactive oxygen species,along with elevated expression of NOX4 and p-Drp1 proteins(P<0.05)and reduced expression of Mfn2 protein(P<0.05)in the rat spinal crod tissue.Compared with the model group,the low-,medium-,and high-dose Pueraria lobata decoction groups exhibited reduced levels of reactive oxygen species,as well as decreased expression of NOX4 and p-Drp1 proteins(P<0.05)and increased expression of Mfn2 protein(P<0.05)in the rat spinal cord tissue.To conclude,Pueraria lobata decoction inhibits neuroinflammatory responses and neuronal apoptosis in the rat model of cervical spondylotic myelopathy,and the mechanism of action may be related to the regulation of the NOX4/reactive oxygen species/DRP1 signaling pathway.

Objective To observe the effects of Bushen Huoxue Prescription on the pathway related to necroptosis of nucleus pulposus cells in a model rabbit of intervertebral disc degeneration;To explore its mechanisms in delaying intervertebral disc degeneration.Methods A intervertebral disc degeneration rabbit model was established using the spinal instability method.Totally 40 model rabbits were randomly divided into model group,ibuprofen group and Bushen Huoxue Prescription low-,medium-and high-dosage groups.Additionally,a normal control group and a sham-operation group were set up,with 8 rabbits in each group.Each treatment groups received the corresponding drugs via gavage for two consecutive weeks.HE staining was used to observe morphology of nucleus pulposus tissue,transmission electron microscopy was used to observe ultrastructure in nucleus pulposus cells,immunohistochemical staining was used to assess the expressions of Aggrecan and Collagen Ⅱ in nucleus pulposus tissue,Western blot was used to detect the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein in nucleus pulposus tissue.Results Compared with the sham-operation group,the model group showed a significant decrease in nucleus pulposus cells,disordered cell arrangement,reduced extracellular matrix,interrupted cell membrane continuity under transmission electron microscopy,organelle swelling,nuclear membrane disruption,partial chromatin loss,and positive expression of Aggrecan and Collagen Ⅱ in nucleus pulposus tissue decreased(P<0.01),while the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein significantly increased(P<0.01).Compared with the model group,the treatment groups showed an increased number of nucleus pulposus cells with orderly arrangement and more extracellular matrix,the ultrastructural damage of the cell membrane,organelle and nucleus in nucleus pulposus cells was partially restored under transmission electron microscopy,the positive expressions of Aggrecan and Collagen Ⅱ significantly increased in Bushen Huoxue Prescription medium-and high-dosage groups and the ibuprofen group(P<0.05,P<0.01),while the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein significantly decreased(P<0.05,P<0.01).Conclusion Bushen Huoxue Prescription may delay intervertebral disc degeneration of the model rabbit by inhibiting the expressions of p-RIPK1,p-RIPK3 and p-MLKL protein in nucleus pulposus cells,and promoting the generation of extracellular matrix components Aggrecan and Collagen Ⅱ.

Objective To observe the effects of Bushen Huoxue Prescription on pressure-induced necroptosis in human nucleus pulposus cells and the expressions of RIPK1/RIPK3/MLKL pathway;To explore its potential mechanism in delaying intervertebral disc degeneration.Methods Human primary nucleus pulposus cells were cultured in vitro,and a model of nucleus pulposus cell degeneration was established using continuous load pressure method.After modeling,the nucleus pulposus cells were divided into model group,Bushen Huoxue Prescription group and inhibitor group,blank serum,Bushen Huoxue Prescription containing serum and necroptotic apoptosis inhibitor(Nec-1)intervention were administered,respectively.Normal group nucleus pulposus cells were cultured routinely.AO/EB fluorescence dual staining method was used for detecting cell apoptosis,flow cytometry was used to detect the necroptosis rate of nucleus pulposus cells,Western blot was used to detect the protein expressions of p-receptor interacting protein kinase(RIPK)1,p-RIPK3 and p-mixed lineage kinase domain like protein(MLKL),RT-qPCR was used to detect the mRNA expressions of RIPK1,RIPK3 and MLKL.Results Compared with the normal group,the model group showed more red fluorescence under AO/EB staining of nucleus pulposus cells,which were round and condensed,the necroptosis rate of nucleus pulposus cells increased(P<0.05),the protein expressions of p-RIPK1,p-RIPK3 and p-MLKL increased(P<0.05,P<0.01),while there was no significant difference in RIPK1 mRNA expression(P>0.05),and RIPK3 and MLKL mRNA expression increased(P<0.01).Compared with the model group,Bushen Huoxue Prescription group and the inhibitor group had less red condensed chromatin in the nucleus pulposus cells,Bushen Huoxue Prescription group had a lower rate of necroptosis(P<0.05),while the inhibitor group showed a decreasing trend in necroptosis rate(P>0.05),the protein expressions of p-RIPK1,p-RIPK3 and p-MLKL decreased in Bushen Huoxue Prescription group and the inhibitor group(P<0.05,P<0.01),while there was no significant difference in RIPK1 mRNA expression(P>0.05),and RIPK3 and MLKL mRNA expressions decreased(P<0.01).Conclusion Bushen Huoxue Prescription can alleviate pressure-induced damage to nucleus pulposus cells and inhibit necroptosis,thereby slowing the progression of intervertebral disc degeneration.Its mechanism may be related to the RIPK1/RIPK3/MLKL pathway mediated necroptosis.

Objective To investigate the safety and validity of laparoscopic autologous lingual mucosal graft ureteroplasty for the treatment of complex ureteral stricture.Methods A total of 10 patients who underwent laparoscopic autologous lingual mucosal graft ureteroplasty in our hospital from May 2021 to October 2023 were retrospectively analyzed.During the operation,the narrow segment was longitudinally dissected,and according to the length of stricture,the lingual mucosal graft of 2.0-7.0 cm in length and 1.0-1.5 cm in width was harvested and precisely anastomosed with the stenosed ureter,followed by double J stent placement.Results All the operations were successfully completed with no conversion to open surgery or intraoperative complications.The operative duration was(237.0±67.1)min,the estimated blood loss was 25.0(20.0,30.0)ml,the duration of drainage tube indwelling was 4.0(4.0,4.8)d,the duration of urinary catheter indwelling was 6.5(6.0,9.5)d,and the duration of postoperative hospitalization was 6.0(6.0,6.8)d.All the patients'oral function recovered well within 1 week,and the double J stent was removed 1-2 months after the surgery.The mean follow-up time was(12.3±7.1)months.One case of aggravated hydronephrosis on the affected side underwent a second laparoscopic ureteral stricture resection and end-to-end anastomosis.The remaining 9 cases showed significant improvement in hydronephrosis on the affected side,with improved renal pelvis separation[(2.9±1.2)cm,t=8.022,P=0.000]and renal function compared to before surgery.Their blood creatinine was(74.3±25.5)μmol/L,with no significant difference compared to preoperation[(80.1±26.6)μmol/L,t=1.825,P=0.105].Conclusion Laparoscopic autologous lingual mucosal graft ureteroplasty for the treatment of complex ureteral stricture is a safe and feasible ureteral reconstruction technique with advantages of quick recovery and reliable outcomes.