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.

Objective: To analyze the unregistered treatment situation and its influencing factors among pulmonary tuberculosis patients in Quzhou City, Zhejiang Province from 2017 to 2023, so as to provide a basis for promoting the management of tuberculosis patients and optimizing disease prevention and control strategies. Methods: Data of pulmonary tuberculosis patients including demographic information, etiological results, and mortality status were collected through the China Disease Prevention and Control Information System Infectious Disease Reporting and Surveillance System and the Tuberculosis Management Information System. Pulmonary tuberculosis patients not matched in the Tuberculosis Management Information System were defined as unregistered treatment patients, and the unregistered treatment rate was analyzed. Factors affecting unregistered treatment among pulmonary tuberculosis patients were analyzed using a multivariable logistic regression model. Results: A total of 10 779 pulmonary tuberculosis patients were reported in Quzhou City from 2017 to 2023, including 7 700 males (71.44%) and 3 079 females (28.56%). There were 5 484 cases aged <65 years, accounting for 50.88%. Among them, 630 cases were unregistered treatment, with an unregistered treatment rate of 5.84% (95%CI: 5.42%-6.38%). Multivariable logistic regression analysis showed pulmonary tuberculosis patients aged ≥65 years (OR=1.829, 95%CI: 1.512-2.212) had a higher risk of being unregistered treatment than those aged <65 years; patients with non-local household registration (OR=5.710, 95%CI: 4.724-6.901) had a higher risk than local patients; and patients engaged in housework/unemployed (OR=2.001, 95%CI: 1.421-2.818) or other occupations (OR=2.396, 95%CI: 1.789-3.137) had a higher risk than farmers. The mortality of unregistered treatment pulmonary tuberculosis patients was higher than the registered treatment patients (26.67% vs. 5.02%),with a significantly elevated mortality risk (OR=7.147, 95%CI: 5.738-8.902). Conclusions The unregistered treatment rate among pulmonary tuberculosis patients was well controlled in Quzhou City from 2017 to 2023, but the elderly, patients with non-local household registration, and those engaged in housework/unemployed had a higher risk of unregistered treatment. It is recommended to improve medical and social security policies, strengthen health education on tuberculosis prevention, enhance treatment adherence, and reduce mortality risk.

Most cancers are currently incurable, partly due to abnormal post-translational modifications (PTMs). In this study, we initially used multiple myeloma (MM) as a working model and found that SUMOylation activating enzyme subunit 1 (SAE1) promotes the malignancy of MM. Through proteome microarray analysis, SAE1 was identified as a potential target for bioactive colcemid or its derivative colchicine. Elevated levels of SAE1 were associated with poor clinical survival and increased MM proliferation in vitro and in vivo. Additionally, SAE1 directly SUMOylated and upregulated the total protein expression of p27, leading to LLPS-mediated nuclear export of p27. Our study also demonstrated the involvement of SAE1 in other types of cancer cells, and provided the first monomer crystal structure of SAE1 and its key binding model with colchicine. Colchicine also showed promising results in the Patient-Derived Tumor Xenograft (PDX) model. Furthermore, a controlled clinical trial with 56 MM patients demonstrated the clinical efficacy of colchicine. Our findings reveal a novel mechanism by which tumor cells evade p27-induced cellular growth arrest through p27 SUMOylation-mediated nuclear export. SAE1 may serve as a promising therapeutic target, and colchicine may be a potential treatment option for multiple types of cancer in clinical settings.

Objective To isolate a Acinetobacter baumannii(Ab)phage from underground sewage,study its prop-erties,and to provide a theoretical basis for phage treatment of Ab infection.Methods Double-layer agar tech-nique was used to isolate phages by using Ab GY-6 as the host strain.Biological characterization and therapeutic effect of the phage was tested.Genetic information of the phage was analyzed.Results Ab phage Abgy202162 was isolated.Transmission electron microscopy(TEM)analysis showed that the morphology of Abgy202162 exhibited an icosahedral structure.Biological characteristic analysis showed that the optimal multiplicity of infection was 1,the latent period was 5 min,and the burst size was approximately 520 PFU per cell.In addition,Abgy202162 re-mained stable at different concentrations of chloroform,pH,and temperatures.Sodium dodecyl sulfate-polyacryl-amide gel electrophoresis(SDS-PAGE)analysis showed that it contained 10 proteins with molecular weights ran-ging from 15 to 100 ku.The double-stranded(ds)DNA genome of Abgy202162 consisted of 40 889 bp and its G+C content was 38.85％.It contained 47 open reading frames(ORFs),of which 26 had specific functions,but no virulence related genes or antibiotic resistance genes were found.Phylogenetic analysis showed that Abgy202162 was a new phage in the Autographiviridae family,Beijerinkvirinae subfamily,and Friunavirus genus.Abgy202162 showed the ability to prevent Ab infection in the Galleria mellonella in vivo model.Conclusion The phage Ab-gy202162 has strong environmental tolerance and high safety,indicating its potential as an antibiotic alternative used in the treatment of infections caused by Ab.

In patients with periodontitis, due to problems of periodontal tissue infection as well as soft and hard tissues defects, it may lead to implant infection, gingival papilla loss, soft tissue recession and poor coordination with adjacent teeth. For such patients, periodontal infection should be actively controlled before dental implant therapy. In consideration of insufficient soft and hard tissues, alveolar ridge preservation and soft tissue augmentation procedure can be used to preserve or increase soft and hard tissues as much as possible. Multi-disciplinary treatment is often needed for occlusion problems and coordination with adjacent tooth. Periodontal maintenance treatment of implants and natural teeth is also necessary after implant therapy. This paper discussed these risk factors and strategies for prevention and control, in order to provide some clinical guidances for the implant treatment of periodontitis patients.

Objective:To investigate the impact of exogenous hypoxia-inducible factor 1α(HIF-1α)on glucose metabolism-related proteins and neurological function in the hippocampal CA1 region of rats with cerebral ischemia.Methods:Adult male SD rats were randomly assigned to four groups: sham operation group(Sham group), cerebral ischemia reperfusion group(CIR group), recombinant adenovirus empty vector intervention group(Ad group), and recombinant adenovirus HIF-1α gene intervention group(AdHIF-1α group), each consisting of 12 rats.A rat model of cerebral ischemia-reperfusion injury was induced using the modified suture method, and neurological deficits were assessed using the Longa method.In line with previous protocols, exogenous Ad and AdHIF-1α were introduced into the lateral ventricle of rats in the Ad and AdHIF-1α groups, respectively.After 28 days of observation, the animals were euthanized.Hippocampal tissue was collected for analysis, including Hematoxylin-eosin(HE)staining, terminal transferase labeling in situ(TUNEL)staining, and Nissl staining to evaluate pathological changes and neuronal survival in the hippocampal CA1 region.Western blot was performed to assess the expression levels of HIF-1α, glucose transporter 1(GLUT1), glucose transporter 3(GLUT3), and 6-phosphofructose-2-kinase/fructose-2, 6-bisphosphatase 3(PFKFB3)proteins in the hippocampal tissue.Results:Following 28 days of recombinant adenovirus HIF-1α gene therapy, rats in the AdHIF-1α group exhibited reduced neurological deficits compared to the CIR group( P<0.05).Histopathological analysis of nerve cells in the CA1 region of the hippocampus showed significant improvement, with an increase in the number of surviving nerve cells and a decrease in apoptotic cells( P<0.01).Western blot results indicated an upregulation of HIF-1α expression in the hippocampus of the CIR group compared to the Sham group, along with increased levels of glucose metabolism-related proteins(GLUT1, GLUT3, and PFKFB3)(all P<0.05).Furthermore, elevating HIF-1α expression through AdHIF-1α led to a further increase in the expression of glucose transporters(GLUT1, GLUT3, and PFKFB3)in the AdHIF-1α group, demonstrating statistically significant differences compared to the CIR group(all P<0.05).Notably, there were no statistically significant variances in the aforementioned parameters between the Ad group and the CIR group(all P>0.05). Conclusions:The AdHIF-1α gene has the potential to enhance neurological function, promote nerve cell survival, and decrease nerve cell apoptosis.This effect is likely achieved by increasing HIF-1α expression in the hippocampus, subsequently up-regulating GLUT1, GLUT3 and PFKFB3 expression, and ultimately improving glucose metabolism supply.Overall, this gene shows promise in protecting the brain.

Objective:To explore the effect of the enriched environment(EE)on pyroptosis in rats with cerebral ischemia-reperfusion injury(CIRI).Methods:45 male Sprague-Dawley rats were randomly divided into three groups: a sham surgery(Sham)group, a cerebral ischemia-reperfusion(CIR)group and an enriched environment(EE)group, with 15 rats in each group.Except for the Sham group, the right middle cerebral artery occlusion model was established in the other two groups.After surgery, the EE group was fed in EE, and the other two groups were fed in standard environment.All the rats were assessed using the modified neurological severity score(mNSS)before modeling and on the 1st day, 7th day and 14th day following surgery.On the 14th day after surgery, 2, 3, 5-triphenyltetrazolium chloride(TTC)staining was used to evaluate the infarct volume, hematoxylin and eosin(HE)staining was used to examine pathomorphological changes of the hippocampal CA1 region on the ischemic side of the rats in each group, immunohistochemical assay was used to detect the expression of nucleotide-binding oligomerization domain-like receptor protein 3(NLRP3)and cysteinyl aspartate specific proteinase-1(caspase-1)proteins in the CA1 region, and ultrastructural changes in neurons in the CA1 region were observed under transmission electron microscopy.Results:Compared with the Sham group, the mNSS scores of the CIR group and the EE group were significantly higher on the 1st day and 7th day after surgery( P<0.05), but there was no significant difference between the CIR and EE groups( P>0.05). On the 14th day after surgery, compared with the CIR group, the EE group showed a decrease in the mNSS score and the cerebral infarct volume( P<0.05), alleviated pathomorphological changes, decreased expression of NLRP3 and caspase-1 proteins( P<0.05), and alleviated pathological changes of pyroptosis in the ultrastructure of neurons. Conclusions:EE can reduce the damage of neurological function, reduce the cerebral infarct volume, and play a protective role for the brain in CIRI rats.The mechanism may be related to the down-regulation of the expression of NLRP3 and caspase-1 proteins related to the classical pyroptosis pathway, leading to the inhibition of pyroptosis.

Objective: To investigate whether GIV , a coiled helix structural domain protein containing 88A , has an effect on the neuroinflammatory response in a model of cerebral ischemia⁃reperfusion injury. Methods: A middle cerebral artery embolization⁃reperfusion model (MACO/R) and an oxygen glucose deprivation/reoxygenation model ( OGD 6 h + R 24 h) of BV2 microglia were constructed in C57BL/6 mice , and the area of cerebral infarction was detected by TTC staining; the Longa neurobiological score was used to evaluate the degree of neurological deficit in mice ; ELISA was used to detect the release of IL⁃6 and TNF⁃α in the supernatant of peripheral blood and cell cultures , and Western blot was used to detect the protein expression of GIV , TREM2 and TLR4 in the cortical area around the infarct foci in mice ; different concentrations of lipopolysaccharide (LPS , 1 , 5 , 10 μg/ml) were used to stimulate BV2 cells for 24 h to establish a neuroinflammation model , qRT⁃PCR was performed to detect the mRNA levels of IL⁃6 , TNF⁃α and IL⁃1β , and Western blot was used to detect the expression of GIV ; OGD/R culture treatment was performed after knocking down the expression of GIV gene using siRNA interference technique ;ELISA was performed to detect the release concentration of IL⁃6 and TNF⁃α in cell culture medium supernatant;protein immunoblotting was performed to detect the knockdown efficiency of GIV. Results : Both the successfully constructed MCAO/R and OGD/R models activated the neuroinflammatory response and induced a decrease in protein expression of GIV ; MCAO/R induced increased concentrations of IL⁃6 and TNF⁃α release in peripheral blood of mice and promoted the protein expression of TREM2 and TLR4 ; LPS activated IL⁃6 , IL⁃1β and TNF⁃α expression in BV2 cells , but did not affect GIV expression ; siRNA interference with GIV gene expression further in creased the expression of inflammatory factors IL⁃6 and TNF⁃α . Conclusion The GIV gene may be characteristically involved in regulating the neuroinflammatory response induced by cerebral ischemia⁃reperfusion injury , and it may be a potential therapeutic target for cerebral ischemia⁃reperfusion injury.

Objective:To analyze the effective and safety of endovascular aneurysm repair (EVAR) for ruptured abdominal aortic aneurysm (RAAA) at one tertiary center, and to improve the outcomes of RAAA under fast-track protocol.Methods:Nineteen cases of RAAA in the 940th Hospital of Joint Logistic Support Force of PLA from January 2014 to December 2020 were reviewed retrospectively. EVAR-fist strategy was employed from the emergency room to the operating room by using fast-track protocol. Preoperative management, anatomic characteristics, choice of anesthesia, operative procedures and postoperative complications were collected and analyzed. Abdominal compartment syndrome (ACS) and hospital mortality were paid special attention.Results:Nineteen cases were undergone EVAR procedures. The age was (73.4 ± 7.4) years old, and the AAA size was (67.8 ± 13.6) mm. Two cases underwent cardiopulmonary resuscitation at emergency department. General anesthesia was used in 13 patients and local anaesthesia in 6 patients. Successful stent graft deployment was achieved in all cases. The duration from emergency room to operating room was (84.8 ± 22.4) min. The hospital stay time was (9.7 ± 5.7) d. The hospital mortality was 5/19. The 5 deaths were reviewed: 3 died for multiple organ failure, 1 for irreversible shock, and 1 for ongoing bleeding.Conclusions:Excellent results were confirmed by using EVAR-first strategy for RAAA. The management of hemodynamically unstable state, standardized endovascular procedure, fast-track program and multidiscipline team collaboration were the very important determining factors for the implementation of EVAR. Focused efforts to reduce RAAA mortality are warranted.

Objective:To develop a deep learning model which can automatically and accurately detect osteoporotic vertebral compression fractures (OVCF) based on artificial intelligence.Methods:MRI images of 500 patients diagnosed with OVCF at The First People＇s Hospital of Guangzhou from January 2019 to October 2021 were collected retrospectively. There were 396 males and 204 females, with an age of (74.5±6.0) years. The T value of bone mineral density was -2.9±0.8. The fracture segments were L1 in 128 cases, L2 in 113 cases, L3 in 109 cases, L4 in 115 cases, and L5 in 108 cases. The multimodal layered converged network was used to train, test, and verify the robustness and generalization ability of a deep learning model based on MRI images of OVCF. The grad-cam was applied to visualize the results. The diagnostic value of the model for OVCF was assessed by comparing the diagnoses between the artificial intelligence model and 2 senior spinal surgeons on the MRI images of 30 OVCF patients randomized from the 500 ones.Results:Of the precise auxiliary diagnosis model for OVCF based on MRI images, the diagnostic accuracy was 96.7%, the sensitivity 93.5%, the specificity 88.9%, the positive predictive value 100.0%, and the negative predictive value 86.6%, all significantly higher than those of the 2 senior spinal surgeons (70.0%, 72.7%, 28.6%, 82.1%, and 28.6%) ( P<0.05). Conclusion:The present study has successfully established a deep learning model which can automatically and accurately diagnose OVCF based on MRI images, showing a high diagnostic efficiency than human spinal surgeons.