Objective To identify the independent predictors of programmed death-1 (PD-1) inhibitor-related endocrine adverse events and construct a clinically usable risk prediction model. Methods A total of 302 patients with solid tumors treated with PD-1 inhibitors were retrospectively enrolled. According to the presence or absence of endocrine immune-related adverse events (irAEs), the patients were divided into case group and control group. The clinical and laboratory indexes were compared between the two groups. Multivariable logistic regression was used to confirm independent predictors of endocrine irAEs. The nomogram was constructed, while the receiver operating characteristic (ROC) curve was used to test the prediction performance of the model. Results The overall incidence of endocrine irAEs was 21.9% (66/302), and the incidence of hypothyroidism was 19.5% (59/302). The age, PD-1 inhibitors, free thyroxine, thyroid peroxidase antibody (TPOAb), thyroglobulin, amylase, lymphocyte subset CD3 expression were statistically different between the two groups (P＜0.05). Multivariable logistic regression showed that higher expression of lymphocyte subset CD3 was a protective factor to prevent endocrine irAEs occurrence (P＝0.004), while age＜60 years, higher TPOAb and use of pembrolizumab were independent risk factors of endocrine irAEs (P＜0.05). The nomogram model thus constructed, and when the threshold probability of the model exceeded 0.1, its net benefit was higher. ROC curve showed that the AUC of the model to predict endocrine irAEs was 0.760. The prediction result of the model was highly consistent with the actual result. Conclusions The age, type of PD-1 inhibitor, baseline TPOAb level, and baseline CD3 expression can independently predict endocrine irAEs occurrence or not. The nomogram model based on this model has good predictive efficiency, which can provide reference for early identification of high-risk patients and immunotherapy management.

Lung transplantation is the ultimate therapeutic option for end-stage pulmonary diseases such as interstitial pneumonia, chronic obstructive pulmonary disease and pneumoconiosis. Currently, the shortage of allogeneic lung donors significantly limits the opportunity for end-stage lung disease patients to receive lung transplantation. In recent years, with the rapid development of biomedical engineering technologies, especially the major breakthroughs in genetic modification and cloning, xenogeneic lung transplantation has shown important potential for clinical translation. Among them, genetically modified pigs have become the most promising xenogeneic lung source due to the close similarity of organ size and physiological characteristics to humans, and the ability to perform targeted gene knockouts (such as α-Gal antigen knockout) to reduce the occurrence of hyperacute rejection. This article focuses on the research progress of porcine xenogeneic lung transplantation, systematically reviews the latest achievements and challenges in animal experiments and human trials, and introduces the technical experience accumulated by Shenzhen Third People's Hospital in the porcine-to-monkey xenogeneic lung transplantation model, in the hope of providing practical references for future research in this field.

The introduction of non-vitamin K antagonist oral anticoagulant (NOAC) into clinical use heralds a new age for anticoagulation therapy in patients with atrial fibrillation (AF).However,anticoagulation-related bleeding is currently a major challenge in the anticoagulation process.Assessing the risk of anticoagulation-related bleeding is an important part for the management of patients with AF.Clinical risk factor scores have moderate ability to predict the risk of anticoagulation-related bleeding.To improve the anticoagulation safety of NOACs,additional clinical and biological markers and genetic polymorphisms should be considered to enhance the predictive capability for anticoagulation-related bleeding.This review summarizes the challenges in the management of anticoagulation therapy,with emphases on the bleeding risk scores,biomarkers,clinical indicators,and genetic loci currently used to guide the risk assessment of anticoagulation-related bleeding in AF patients.This review is expected to provide research insights and reference frameworks for predicting and evaluating the bleeding risk associated with NOACs.
Humans ; Atrial Fibrillation/drug therapy* ; Anticoagulants/therapeutic use* ; Hemorrhage/chemically induced* ; Risk Assessment ; Administration, Oral ; Risk Factors

Objective To explore the relationships of cognitive impairment with cardiovascular death and all-cause death in menopausal women with hypertension.Methods A total of 4 595 natural-menopausal women with hypertension screened in Wuyuan County of Jiangxi Province from July to August 2018 were selected as the research subjects,and a follow-up investigation of death information was completed from June to August 2022.According to the baseline mini-mental state examination(MMSE)score,all subjects were allocated into a normal cognitive function group and a cognitive impairment group.The basic characteristics and the cumulative risk of death evaluated by the Kaplan-Meier curve were compared between two groups.The multivariate Cox regression model was adopted to analyze the effect of cognitive function on death,and the relationship between MMSE score and death was fitted by the restricted cubic spline.Results A total of 4 595 subjects with the mean age of(65.1±8.4)years were included in this study,in which and 1 859(40.5%)patients with cognitive impairment were detected.During a mean follow-up period of(3.9±0.4)years,199 all-cause deaths were collected,including 102 cardiovascular deaths.The normal cognitive function group and the cognitive impairment group had the cumulative all-cause death rates of 2.6%and 6.9%and the cumulative cardiovascular death rates of 1.0%and 4.0%,respectively.The Kaplan-Meier curve showed that the cumulative risks of all-cause death(χ²=47.287,P<0.001)and cardiovascular death(χ²=45.169,P<0.001)in the cognitive impairment group were higher than those in the normal cognitive function group.The results of multivariate Cox regression analysis indicated that compared with the normal cognitive function group,the cognitive impairment group had increased risks of all-cause death(HR=1.75,95%CI=1.28-2.39,P<0.001)and cardiovascular death(HR=2.56,95%CI=1.61-4.09,P<0.001).The results of the restricted cubic spline curve fitting showed that the MMSE score had linearly negative correlations with the risk of all-cause death(P_all<0.001, P n o n - l i n e a r i t y=0.519)and cardiovascular death(P_all<0.001, P n o n - l i n e a r i t y=0.195).Conclusion Cognitive impairment is an independent risk factor for all-cause death and cardiovascular death in menopausal women with hypertension,and early identification of cognitive impairment in this population is essential for timely intervention.
Humans ; Female ; Cognitive Dysfunction ; Hypertension/complications* ; Aged ; Middle Aged ; Menopause ; Proportional Hazards Models ; Risk Factors ; Cardiovascular Diseases/mortality* ; Cause of Death ; Kaplan-Meier Estimate

Aim To explore the protective effects and underlying molecular mechanisms of periplogenin(Ppg)in preventing acetaminophen(APAP)-induced drug-induced liver injury(DILI).Methods An APAP-induced liver injury model was established in vi-vo and in vitro.Liver/spleen indices were recorded,and serum aspartate aminotransferase(AST)and ala-nine aminotransferase(ALT)levels were measured.The pathological changes in liver tissue were observed using hematoxylin-eosin(HE)staining.The influence of Ppg on inflammatory cytokines(IL-6,TNF-α,IL-1 β)and key proteins within the associated signaling pathways was examined using enzyme-linked immu-nosorbent assay(ELISA),quantitative polymerase chain reaction(qPCR),and Western blot.Additional-ly,glutathione(GSH),malondialdehyde(MDA),and superoxide dismutase(SOD)activity levels were meas-ured.The expression of markers related to the NF-κB signaling pathway was assessed using qPCR,Western blot,and immunofluorescence.Results In vivo exper-iments showed that Ppg improved the liver and spleen index of mice with drug-induced liver injury,and the levels of AST and ALT in the serum decreased signifi-cantly,reducing the pathological damage of liver tis-sue.In vitro experiments showed that Ppg significantly inhibited the expression of IL-6,TNF-α and IL-1 β,and decreased the levels of GSH and MDA and in-creased SOD activity in AML-12 cells.Additionally,the inhibition of the NF-κB signaling pathway using pyrrolidinedithiocarbamate ammonium(PDTC),an NF-κB signaling pathway inhibitor reduced inflammato-ry cytokine expression and significantly decreased p65 nuclear translocation,showing results comparable to those observed in the high-dose Ppg group.Conclu-sions Ppg alleviates APAP-induced liver injury,po-tentially by inhibiting the NF-κB signaling pathway in hepatocytes,thereby reducing the inflammatory re-sponse and protecting liver from APAP-induced dam-age.

OBJECTIVE: To assess the value of the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) score combined with PSA density (PSAD) in the diagnosis of clinically significant prostate cancer (CSPCa) in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy. METHODS: This retrospective study included 327 male patients with total PSA (tPSA) levels of 4-10 μg/L undergoing MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy in our hospital between January 2021 and December 2023. According to the pathological results, we divided the patients into a CSPCa (n = 44) and a non-CSPCa group (n = 283), collected their clinical and imaging data, and subjected them to statistical analysis. RESULTS: The age, tPSA level, PSAD and PI-RADS score were significantly higher, while the free PSA (fPSA) level, f/tPSA ratio and prostate volume remarkably lower in the CSPCa than in the non-CSPCa group (P<0.05). The areas under the curve (AUCs) of PSAD, PI-RADS score and their combination were 0.772, 0.730 and 0.801, with sensitivities of 63.63%, 70.45% and 72.73%, and specificities of 84.10%, 75.62% and 83.75%, respectively (P<0.01). With PSAD 0.2 μg/(ml·cm3) as the best cut-off value and based on the PI-RADS scores, the patients were divided into two groups for analysis. In the patients with PI-RADS scores 2 and 5, the AUCs were 0.534 and 0.643, with sensitivities of 16.67% and 63.64%, and specificities of 85.14% and 64.29%, with no statistically significant differences (P= 0.784, P= 0.228), and in those with PI-RADS scores 3 and 4, the AUCs were 0.794 and 0.843, with sensitivities of 57.14% and 80.00%, and specificities of 87.14% and 81.82%, with statistically significant differences (P= 0.009, P<0.001). CONCLUSION PI-RADS v2.1 score combined with PSAD can effectively improve the diagnostic efficiency of CSPCa in the PSA grey zone by MRI-TRUS cognitive fusion-guided transperineal targeted prostate biopsy and serve as a guide for selection of prostate biopsy.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Retrospective Studies ; Prostate-Specific Antigen ; Magnetic Resonance Imaging ; Image-Guided Biopsy ; Prostate/pathology* ; Aged ; Middle Aged

The ventral anterior (VA) nucleus of the thalamus is a major target of the basal ganglia and is closely associated with the pathogenesis of Parkinson's disease (PD). Notably, the VA receives direct innervation from the hypothalamic histaminergic system. However, its role in PD remains unknown. Here, we assessed the contribution of histamine to VA neuronal activity and PD motor deficits. Functional magnetic resonance imaging showed reduced VA activity in PD patients. Optogenetic activation of VA neurons or histaminergic afferents significantly alleviated motor deficits in 6-OHDA-induced PD rats. Furthermore, histamine excited VA neurons via H1 and H2 receptors and their coupled hyperpolarization-activated cyclic nucleotide-gated channels, inward-rectifier K⁺ channels, or Ca²⁺-activated K⁺ channels. These results demonstrate that histaminergic afferents actively compensate for Parkinsonian motor deficits by biasing VA activity. These findings suggest that targeting VA histamine receptors and downstream ion channels may be a potential therapeutic strategy for PD motor dysfunction.
Animals ; Histamine/metabolism* ; Male ; Oxidopamine/toxicity* ; Rats ; Ventral Thalamic Nuclei/physiopathology* ; Rats, Sprague-Dawley ; Disease Models, Animal ; Parkinson Disease/metabolism* ; Neurons/physiology* ; Humans ; Optogenetics

OBJECTIVE: As an age-related neurodegenerative disease, the prevalence of mild cognitive impairment (MCI) increases with age. Within the framework of traditional Chinese medicine, spleen-kidney deficiency syndrome (SKDS) is recognized as the most frequent MCI subtype. Due to the covert and gradual onset of MCI, in community settings it poses a significant challenge for patients and their families to discern between typical aging and pathological changes. There exists an urgent need to devise a preliminary diagnostic tool designed for community-residing older adults with MCI attributed to SKDS (MCI-SKDS). METHODS: This investigation enrolled 312 elderly individuals diagnosed with MCI, who were randomly distributed into training and test datasets at a 3:1 ratio. Five machine learning methods, including logistic regression (LR), decision tree (DT), naive Bayes (NB), support vector machine (SVM), and gradient boosting (GB), were used to build a diagnostic prediction model for MCI-SKDS. Accuracy, sensitivity, specificity, precision, F1 score, and area under the curve were used to evaluate model performance. Furthermore, the clinical applicability of the model was evaluated through decision curve analysis (DCA). RESULTS: The accuracy, precision, specificity and F1 score of the DT model performed best in the training set (test set), with scores of 0.904 (0.845), 0.875 (0.795), 0.973 (0.875) and 0.973 (0.875). The sensitivity of the training set (test set) of the SVM model performed best among the five models with a score of 0.865 (0.821). The area under the curve of all five models was greater than 0.9 for the training dataset and greater than 0.8 for the test dataset. The DCA of all models showed good clinical application value. The study identified ten indicators that were significant predictors of MCI-SKDS. CONCLUSION The risk prediction index derived from machine learning for the MCI-SKDS prediction model is simple and practical; the model demonstrates good predictive value and clinical applicability, and the DT model had the best performance. Please cite this article as: Ai YT, Zhou S, Wang M, Zheng TY, Hu H, Wang YC, Li YC, Wang XT, Zhou PJ. Development of a machine learning-based risk prediction model for mild cognitive impairment with spleen-kidney deficiency syndrome in the elderly. J Integr Med. 2025; 23(4): 390-397.
Humans ; Cognitive Dysfunction/diagnosis* ; Aged ; Male ; Female ; Machine Learning ; Spleen ; Aged, 80 and over ; Kidney ; Medicine, Chinese Traditional

To perform the phylogenetic characterization of an isolated porcine rotavirus(PoRV)and investigate its pathogenicity in suckling mice and piglets.A G4P[23]genotype PoRV strain JSJR2023 was successfully isolated from the diarrheic piglet feces through propagation in MA104 cells.The viral proliferation kinetics were analyzed using TCID50 assays,followed by complete genome sequencing through Sanger sequencing platforms.Comprehensive genotyping and phylogenetic reconstruction were conducted using MEGA7.0 with maximum likelihood algorithms.Pathogenicity was assessed in the following animal models:5-day-old C57BL/6 mice and 3-day-old piglets.Multidimensional evaluation included clinical monitoring(diarrhea scoring,growth parameters),virological detection,and histopathological analysis of intestinal tissues.The virus strain JSJR2023 could replicate efficiently in MA104 cells,achieving peak titers of 107.5 TCID50/mL.Whole genome genotype analysis showed that the strain belonged to G4-P[23]-I5-R1-C1-M1-A8-N1-T1-E1-H1.Phylogenetic analysis indicated that the VP3 and NSP4 genes of JSJR2023 strain were most closedrelated to human species rotaviruses,suggesting genetic reassortment between human and porcine RV strains.The animal experiments in suckling mice showed that the JSJR2023 strain infection caused diarrhea symptoms,intestinal edema and congestion,and shedding of intestinal villus epithelial cells.The pathogenicity experiments in piglets showed that compared with the control group,the challenged group of pig-lets had severe diarrhea symptoms,accompanied by reduced appetite and listlessness.Post-mortem examination revealed that the intes-tines were significantly thinner,congested,and filled with yellow watery contents.The challenged piglets showed typical pathological changes such as thinning of the intestinal wall and shortening and shedding of intestinal villi.In conclusion,this study successfully iso-lated a human-porcine recombinant G4P[23]PoRV strain and established the infection models in suckling mice and piglets,providing important tools for investigating the pathogenic mechanism of PoRV,evaluating vaccines and developing antiviral drug.

Objective To design a phased array ultrasonic focusing control system based on sinusoidal signal excitation in order to avoid the introduction of high-frequency interference components into the ultrasonic transducer and improve the electronic focusing performance of phased array ultrasound.Methods The system designed mainly used the high-speed field programmable gate array(FPGA)chip combined with the high-speed digital to analog converter(DAC)to realize synchronous output and control of multi-channel sinusoidal signals.There were 8 sinusoidal excitation emission modules based on FPGA and DAC and one sinusoidal ultrasonic excitation control module based on ZYNQ MPSoC involved in the hardware part of the system,in which the emission modules generated multi-channel sinusoidal excitations and timing control of sinusoidal signals within the module and the control module was responsible for controlling the triggering timing between each sinusoidal excitation transmitter module.The system developed had its software designed with MATLAB App Designer to improve the human-computer interaction experience.Performance verification was carried out for the system by testing the output waveform,inter-channel delay error and focused sound field of each channel.Results The system developed achieved generation and timing control of 64-channel sinusoidal ultrasound excitations,with the output channel main frequency being 0.5 MHz,amplitude within 0 and±12.5 V and the inter-channel delay errors not higher than 26.0 ns;a focused sound field with a focal spot diameter of 4.2 mm(-3 dB)at a depth of 50 mm was obtained when the system was applied to driving a 64-array phased-array transducer.Conclusion The system designed is capable of realizing ultrasonic electron focusing under sinusoidal excitation,which helps to improve the focusing resolution of non-invasive and precise deep brain stimulation techniques relying on the accuracy of ultrasonic focusing such as transcranial magneto-acoustic stimulation(TMAS)and transcranial ultrasonic stimulation(TUS).[Chinese Medical Equipment Journal,2025,46(5):14-20]