As a pivotal strategy to alleviate the shortage of organ donors, xenotransplantation has achieved remarkable advances in both pre-clinical and clinical studies in recent years, driven by continuous optimization of gene modification techniques and immunosuppressive regimens. Nevertheless, clinical translation still confronts formidable challenges, including rejection and heightened infection risks, which severely compromise long-term graft survival. Consequently, the role of immunosuppressive regimens in xenotransplantation has become increasingly prominent. This article summarizes the mechanisms underlying xenogeneic immune rejection, the latest developments in immunosuppressive regimens, cutting-edge strategies for inducing immune tolerance and the major hurdles facing clinical xenotransplantation. It delves into potential optimization strategies and directions for future clinical research, aiming to offer theoretical insights and practical guidance for the safe and effective application of clinical xenotransplantation.

Objective To compare the performance of 7 Chinese-developed GenAI models (DeepSeek, Wenxin Yiyan, Tongyi, Doubao, Kimi, Hunyuan, and iFLYTEK Spark) in responding to common diseases of the pediatric genitourinary system and to explore their potential applications.Methods A total of 80 questions covering basic disease information, diagnosis, treatment, and prognosis related to “hypospadias, hydronephrosis, and cryptorchidism” were developed as prompts.The models were tested under 3 modes:“quick thinking, ”“deep thinking, ” and “deep thinking + internet access.” The results were evaluated in a blinded review by two pediatric urologists.The responses were graded into 4 levels—A, B, C, and D—based on accuracy, completeness, and relevance.The proportions of responses rated as A and A+B were statistically analyzed and compared across the different models/modes.Results The “deep thinking” mode of DeepSeek demonstrated the best performance, with 88% of responses rated as A and 96% rated as A+B.DeepSeek (deep thinking + internet access), Doubao (quick thinking), Hunyuan (deep thinking), and Doubao (deep thinking + internet access) followed closely, also showing excellent response capabilities.Among the top 5 models/modes, significant differences were observed in the proportion of Alevel responses (P＜0.05), while differences in the proportion of A+B-level responses were not statistically significant (P＞0.05).Conclusion Certain Chinese-developed GenAI models, represented by DeepSeek (deep thinking), demonstrate significant application potential.However, they still cannot consistently provide recommendations rated at the A+B level (recommended grade or higher) with 100% accuracy.In clinical practice, both doctors and patients should view GenAI as an auxiliary tool for education and information acquisition rather than as a final decision-making authority.All information must be reviewed and confirmed by professional physicians.

Gastric cancer remains a highly prevalent malignancy worldwide, with surgical resection currently constituting the cornerstone of treatment aimed at improving long-term patient survival. Owing to their notable advantages, including reduced surgical trauma and accelerated postoperative recovery, minimally invasive procedures are progressively supplanting conventional open surgery and have become the mainstream approach in gastric cancer management. Concurrently, the rapid advancement of artificial intelligence (AI) technologies has enabled real-time intraoperative monitoring of surgical scenes, thereby furnishing novel technical support for adjunctive decision-making, surgical navigation, and skill assessment during gastrectomy. This article provides a systematic review of the current status of AI applications in minimally invasive gastric cancer surgery, with a particular focus on research progress pertaining to instrument recognition, surgical phase identification, delineation of normal anatomical structures, detection of metastatic foci, and early warning of intraoperative adverse events. Furthermore, we discuss the potential value of AI in enhancing surgical efficiency, ensuring patient safety, and optimizing surgical education. On this basis, we further analyze the principal challenges and inherent risks confronting current AI systems, with the aim of informing future technological innovation and facilitating clinical translation.

Objective: To evaluate the feasibility of re-entry for blood donors deferred for single-reagent reactive anti-TP ELISA results, to assess the ability of ELISA S/CO values of different kits to discriminate true-from false-positive samples and to determine the optimal cutoff value for each kit, thereby providing a scientific basis for improving blood donor reentry strategies. Methods: Data of two donor cohorts were retrospectively collected: (1) a re-entry cohort of 106 donors who applied for re-entry at Jiangsu Province Blood Center from January 1, 2018 to December 31, 2025, all previously deferred for single-reagent reactive anti-TP ELISA results (58 reactive with the Xinchuang kit and 48 with the Kehua kit); (2) a routine screening confirmation cohort of 39 donors found to be single-reagent reactive in routine donation screening and additionally tested by TPPA between April 2024 and June 2026 (17 Xinchuang and 22 Kehua). Using TPPA results as the gold standard, the two cohorts were pooled (75 Xinchuang, 70 Kehua), and receiver operating characteristic (ROC) curves were constructed separately for each kit. The 95% confidence interval (CI) of the area under the curve (AUC) was estimated with 2 000 bootstrap replicates, and the optimal S/CO cutoff of each kit was determined by the maximum Youden index; sensitivity analysis was performed by cohort source. In addition, TPPA-confirmed positivity rates were compared between single-and dual-reagent reactive samples at re-entry testing. Results: Of the 106 donors in the re-entry cohort, 73 were successfully requalified and 33 failed. The mean S/CO value at deferral testing in successfully requalified donors was 1.930 (median 1.570), significantly lower than 3.487 (median 2.592) in failed donors (P<0.001). Among the 33 donors who failed requalification, 16 samples were TPPA positive; at re-entry testing, 7 were dual-reagent reactive (6 TPPA positive), 25 remained single-reagent reactive (9 TPPA positive), and 1 was ELISA non-reactive (TPPA positive). The TPPA positivity rate of dual-reagent reactive samples at re-entry testing was 85.7% (6/7), significantly higher than 36.0% (9/25) of single-reagent reactive samples (P=0.033); the agreement between the two kits at re-entry testing was poor (Kappa=0.231). ROC analysis of pooled samples showed that for the Xinchuang kit (n=75, 14 TPPA positive), the AUC was 0.837 (95%CI:0.731-0.929) with an optimal cutoff of 2.025, corresponding to a sensitivity of 92.9% (13/14), a specificity of 65.6% (40/61) and a negative predictive value of 97.6% (40/41); for the Kehua kit (n=70, 13 TPPA positive), the AUC was 0.787 (95%CI:0.649-0.900) with an optimal cutoff of 1.733, corresponding to a sensitivity of 92.3% (12/13), a specificity of 56.1% (32/57) and a negative predictive value of 97.0% (32/33). Sensitivity analysis by cohort showed that the AUCs calculated separately for the re-entry and screening cohorts were consistent in direction with the pooled analysis. Conclusion: S/CO values of both the Xinchuang and Kehua ELISA kits can discriminate TPPA-confirmed true from false positives, but their optimal cutoffs differ. Dual-reagent reactivity at re-entry testing strongly indicates TPPA-confirmed positivity; the TPPA positivity rate of single-reagent reactive samples increases in a gradient with rising S/CO values, and single-reagent reactive samples with low S/CO values are mostly false positives. Incorporating kit-specific stratified management based on quantitative S/CO thresholds into the re-entry mechanism may help establish a fast-track re-entry pathway for low-risk false-positive donors.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

ObjectiveTo observe the clinical efficacy of Gandou Fumu Granules （GDFMG） combined with sodium dimercaptosulphonate （DMPS） on liver fibrosis in Wilson disease （WD） patients with the syndrome of phlegm and blood stasis， evaluate its effect on cuproptosis-related indicators， and explore the possible mechanisms of cuproptosis in WD-related liver fibrosis. MethodsSixty WD patients diagnosed with the syndrome of phlegm and blood stasis between January 2023 and December 2023 were randomly divided into a control group and an observation group， with 30 patients in each group. The control group received the copper chelator DMPS for the first 6 days， followed by calcium gluconate injection for the next 2 days， completing an 8-day treatment cycle. The observation group received GDFMG in addition to the treatment regimen of the control group， with both groups treated for 21 cycles. A Beckman fully automated biochemical analyzer was used to detect levels of type Ⅳ collagen （CⅣ）， hyaluronic acid （HA）， laminin （LN）， N-terminal propeptide of type Ⅲ procollagen （PⅢ-NP）， and serum copper （SCu） before and after treatment in both groups. Enzyme-linked immunosorbent assay （ELISA） was used to measure levels of ferredoxin 1 （FDX1）， lipoic acid synthetase （LIAS）， and dihydrolipoamide S-acetyltransferase （DLAT）. Atomic absorption spectroscopy measured 24-hour urine copper levels before treatment and after the 7， 14， and 21 treatment cycles in both groups. An Fibro Touch （FT） non-invasive liver fibrosis diagnostic device was used to measure liver stiffness （LSM） in both groups before and after treatment. Traditional Chinese medicine syndrome score （TCMSS） was evaluated at the same intervals. Clinical efficacy， adverse events， and safety indicators were also compared. ResultsAfter treatment， levels of CⅣ， HA， LN， and PⅢNP significantly decreased in both groups compared to pre-treatment levels （P<0.01）. The observation group showed a more pronounced reduction compared to the control group （P<0.05）. There were no statistically significant differences in SCu levels in both groups before and after treatment. After treatment， levels of FDX1，LIAS and DLAT significantly increased in both groups（P<0.01）. The observation group showed more notable improvements in these indicators than the control group （P<0.05）. After the 7， 14， 21 treatment cycles， 24-hour urine copper levels significantly increased in both groups compared to pre-treatment levels （P<0.01）. The observation group had a greater increase in 24-hour urine copper levels than the control group after treatment （P<0.05，P<0.01）， and although 24-hour urine copper levels increased after 7 cycles， a gradual decline was observed in subsequent cycles. After treatment， LSM levels significantly decreased in both groups compared to pre-treatment levels （P<0.01）， with the observation group showing a greater reduction than the control group （P<0.05）. Clinical efficacy was significantly better in the observation group than the control group （P<0.05）. No significant differences in the incidence of adverse events or safety indicators were observed between the two groups after treatment. ConclusionGDFMG combined with DMPS can reduce LSM in WD patients with liver fibrosis and the syndrome of phlegm and blood stasis， inhibit cuproptosis， and improve clinical efficacy.

Objective To compare the effects of functional end-to-end esophagojejunostomy(FETE method)and side-to-side esophagojejunostomy with cis-peristalsis(overlap method)on post-operative rehabilitation,anastomotic leakage,and inflammatory-oxidative stress factors in patients un-dergoing laparoscopic radical resection for esophageal cancer.Methods A total of 115 patients with esophageal cancer were selected as study subjects,and were randomly divided into overlap group(n=57)and FETE group(n=58)using random number table method,and both groups underwent lapa-roscopic radical resection for esophageal cancer.The overlap group received the overlap method,and the FETE group received the FETE method.The surgical-related indicators,postoperative recovery indicators,incidence of anastomotic leakage,inflammatory factors[interleukin-10(IL-10),interleu-kin-6(IL-6),tumor necrosis factor-α(TNF-α)],oxidative stress factors[malondialdehyde(MDA),superoxide dismutase(SOD)],pulmonary function indicators[forced vital capacity(FVC),forced expiratory volume in one second(FEV1),FEV1/FVC],and the scores of the esophageal cancer-specific quality of life questionnaire(QLQ-OES18)were compared between the two groups.Results There was no statistically significant difference in intraoperative blood loss between the two groups(P＞0.05).The FETE group had shorter operative time and intraoperative anastomosis time,and a lar-ger number of lymph node dissection compared with the overlap group,with statistically significant differences(P＜0.05).The FETE group had earlier postoperative first flatus time,first oral intake time,and drainage tube removal time compared with the overlap group,with statistically significant differences(P＜0.05).The incidence of anastomotic leakage was 1.72％in the FETE group and 7.02％in the overlap group,with no statistically significant difference(P＞0.05).One week after surgery,the serum levels of IL-10,IL-6,TNF-α and MDA in the FETE group were lower than those in the overlap group,while the serum SOD level was higher,with statistically significant differences(P＜0.05).One week after surgery,the FVC,FEV,and FEV1/FVC in the FETE group were higher than those in the overlap group,with statistically significant differences(P＜0.05).Three months after surgery,the QLQ-OES18 functional domain scores in the FETE group were higher than those in the overlap group,while the symptom domain and single symptom domain scores were low-er,with statistically significant differences(P＜0.05).Conclusion Both the FETE method and the overlap method can reduce intraoperative blood loss and the incidence of anastomotic leakage when applied in laparoscopic radical resection for esophageal cancer.However,FETE method has shorter operative time,larger number of intraoperative lymph node dissections,faster postoperative recovery,and patients have less inflammatory-oxidative stress response and pulmonary function im-pairment,as well as higher quality of life after surgery,showing greater advantages compared with the overlap method.

Objective To retrospectively analyze the results of serum beta-amyloid 42(Aβ42)tests conducted in the laboratory and explore potential issues associated with this testing.Methods All the Aβ42 test data collected up to the initiation of this study were compiled,and the positive rates for various diagnoses,including Alzheimer's disease(AD),cognitive decline,and dementia were ana-lyzed.Accuracy of the test kit was preliminarily validated using the kit's own reference,mouse brain tissue,and in vitro cultured cell-based reference samples.Results Data from 546 patients were col-lected,with 166 positive cases(positive rate of 30.4％).Among them,3 out of 6 AD patients tested positive;among 149 patients diagnosed with cognitive decline and 59 dementia patients,there were 29 and 24 positive cases respectively,with positive rates of 19.5％and 40.7％.The kit's detection of its own reference was affected by the serum matrix and failed to effectively detect positive mouse brain tissue and cellular reference samples.The kit's detection was generally unaffected by the amyloid precursor protein(APP)of Aβ,but it did not demonstrate good recovery rates for its own reference samples added to various clinical serum specimens.Conclusion The positive rate of serum Aβ42 test results in laboratory is lower than expected,and the accuracy of the test kit may require further improvement.

Objective To develop nanobodies with broad-spectrum reactivity,specificity,and high sensitivity that can be used for detecting multiple subtypes of influenza A virus,and to establish a nanobody-based enzyme-linked immunosorbent assay(ELISA)method.Methods Gene sequences of twelve nanobodies against influenza A virus were retrieved from the National Center for Biotechnology Information(NCBI)and nanobody databases.The nanoantibodies were prepared using molecular biological techniques including gene synthesis and recombinant expression.The binding activity,specificity,sensitivity,and affinity of these nanobodies were determined by ELISA screening and Gator affinity analysis.A double-antibody sandwich ELISA assay was established by combining the selected nanobody with a traditional mouse monoclonal antibody.Results Twelve nanobodies were expressed and purified.Two nanobodies capable of binding to multiple subtypes of influenza virus including H1,H3,H5,H7,and H9 were obtained and designated as VHH54 and KV108.Both nanobodies showed no cross-reactivity with other respiratory virus antigens.Furthermore,the KV108 nanobody exhibited the highest binding affinity,with a dissociation constant of 5.94×10-9mol/L for the influenza virus nucleoprotein(NP),and the lowest detection concentration for the NP antigen reached 0.00064 μg/mL.The double-antibody sandwich ELISA,using a combination of KV108 and a mouse monoclonal antibody,could sensitively detect the five common subtypes of influenza A virus(H1N1,H3N2,H5N1,H7N9,and H9N2).The lowest detection limit reached 110-403 PFU/mL,which was higher than that of the commercial colloidal gold kitfor influenza virus detection.Conclusion This study has identified a nanobody KV108,which is capable of binding to multiple subtypes of influenza virus,and established a nanobody-based ELISA method that can detect multiple subtypes of influenza A virus.This study can facilitate the development of nanobody-based influenza detection technologies.

Xenotransplantation is one of the effective ways to overcome the shortage of donor organs. However, the molecular incompatibility between xenotransplantation donors and recipients can cause rejection, which greatly limits the clinical application of xenotransplantation. In recent years, researchers have deeply explored the mechanism of xenotransplantation rejection through xenotransplantation models of pig-to-monkey and pig-to-brain death recipients, and found that the innate immune system plays an important role in rejection. Macrophages, as phagocytes in the innate immune system, not only damage xenografts through phagocytosis but also interact with other immune cells to influence the immune microenvironment of xenotransplantation. However, due to the heterogeneity of macrophages, their phenotypes and functions in xenotransplantation rejection remain unclear. Therefore, it is necessary to further explore the role of macrophages in xenotransplantation rejection. This article reviews the latest research progress of macrophages in xenotransplantation rejection, aiming to explore the mechanisms of macrophages in xenotransplantation rejection and provide references for future research.