OBJECTIVE: To explore the accuracy of human-computer interaction software in identifying and locating type C1 distal radius fractures. METHODS: Based on relevant inclusion and exclusion criteria, 14 cases of type C1 distal radius fractures between September 2023 and March 2024 were retrospectively analyzed, comprising 3 males and 11 females(aged from 27 to 82 years). The data were assigned randomized identifiers. A senior orthopedic physician reviewed the films and measured the ulnar deviation angle, radial height, palmar inclination angle, intra-articular step, and intra-articular gap for each case on the hospital's imaging system. Based on the reduction standard for distal radius fractures, cases were divided into reduction group and non-reduction group. Then, the data were sequentially imported into a human-computer interaction intelligent software, where a junior orthopedic physician analyzed the same radiological parameters, categorized cases, and measured fracture details. The categorization results from the software were consistent with manual classifications (6 reduction cases and 8 non-reduction cases). For non-reduction cases, the software performed further analyses, including bone segmentation and fracture recognition, generating 8 diagnostic reports containing fracture recognition information. For the 6 reduction cases, the senior and junior orthopedic physicians independently analyzed the data on the hospital's imaging system and the AI software, respectively. Bone segments requiring reduction were identified, verified by two senior physicians, and measured for displacement and rotation along the X (inward and outward), Z (front and back), and Y (up and down) axes. The AI software generated comprehensive diagnostic reports for these cases, which included all measurements and fracture recognition details. RESULTS: Both the manual and AI software methods consistently categorized the 14 cases into 6 reduction and 8 non-reduction groups, with identical data distributions. A paired sample t-test revealed no statistically significant differences (P>0.05) between the manual and software-based measurements for ulnar deviation angle, radial ulnar bone height, palmar inclination angle, intra-articular step, and joint space. In fracture recognition, the AI software correctly identified 10 C-type fractures and 4 B-type fractures. For the 6 reduction cases, a total of 24 bone fragments were analyzed across both methods. After verification, it was found that the bone fragments identified by the two methods were consistent. A paired sample t-tests revealed that the identified bone fragments and measured displacement and rotation angles along the X, Y, and Z axes were consistent between the two methods. No statistically significant differences(P>0.05) were found between manual and software measurements for these parameters. CONCLUSION Human-computer interaction software employing AI technology demonstrated comparable accuracy to manual measurement in identifying and locating type C1 distal radius fractures on CT imaging.
Humans ; Male ; Female ; Radius Fractures/surgery* ; Middle Aged ; Adult ; Aged ; Aged, 80 and over ; Tomography, X-Ray Computed/methods* ; Retrospective Studies ; Software ; Wrist Fractures

OBJECTIVE: To investigate the molecular mechanism and explore blood transfusion strategies for a proband exhibiting the JK (a-b-) phenotype and anti-JK³ high frequency antigen antibody and her eight family members. METHODS: The Kidd blood phenotype and irregular antibodies in a family were identified by serologic tests. Exon 4-11 and intron region of SLC14A1 gene were sequenced by Sanger method. RESULTS: The combination of the gene JK*B (c.499A>G,c.512G>A,c.588A>G) and gene JK*B (c.342-1G>A,588A>G) in this family were considered to result in the JK (a-b-) phenotype in two members. The members carrying gene JK*A(c.130G>A,588A>G) all present serological JK^a+W. Members carrying gene JK*B (c.499A>G,c.588A>G) all present serological JK^b+W, which has not been previously reported to cause antigenic weakening. The proband with JK (a-b-) phenotype produced anti-JK³ antibodies, the hospital formulated a number of blood preparation strategies for the patient and she was discharged after recovery. CONCLUSION In this study, the molecular mechanism of JK (a-b-) in this family was identified, the transfusion strategy of rare blood group was established in our institution preliminary, and the necessity of establishing a rare blood group bank was revealed in this region. It is suggested that JK*B (c.499A>G,c.588A>G) may be a new genetic pattern leading to the weakening of Kidd antigenicity, which lays a foundation for the study of population genetics.
Humans ; Blood Transfusion ; Female ; Kidd Blood-Group System/genetics* ; Phenotype ; Pedigree

OBJECTIVES: To explore the underlying pharmacological mechanisms and its potential effects of Chinese medicine herbal formula Sini Powder (SNP) on hepatocellular carcinoma (HCC). METHODS: The active components of SNP and their in vivo distribution were identified using ultraperformance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Construction of component-target-disease networks, protein-protein interaction network, Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis, and molecular docking were employed to analyze the active components and anti-HCC mechanisms of SNP. Cell viability assay and wound healing assay were utilized to confirm the effect of SNP-containing serum (2.5%, 5.0%, 10%, 20%, and 40%), isoprenaline or propranolol (both 10, 100, and 1,000 µ mol/L) on proliferation and migration of HepG 2 or Huh7 cells. Meanwhile, the effect of isoprenaline or propranolol on the β 2 adrenergic receptor (ADRB2) mRNA expression on HepG2 cells were measured by real-time quantitative reverse transcription (RT-qPCR). Mice with subcutaneous tumors were either subjected to chronic restraint stress (CRS) followed by SNP administration (364 mg/mL) or directly treated with SNP (364 mg/mL). These two parallel experiments were performed to validate the effects of SNP on stress responses. Stress-related proteins and hormones were quantified using RT-qPCR, enzyme-linked immunosorbent assay, and immunohistochemistry. Metagenomic sequencing was performed to confirm the influence of SNP on the gut microbiota in the tumor-bearing CRS mice. RESULTS: The distribution of the 12 active components of SNP was confirmed in various tissues and feces. Network pharmacology analysis confirmed the anti-HCC effects of the 5 active components. The potential anti-HCC mechanisms of SNP may involve the epidermal growth factor receptor (EGFR), proto-oncogene tyrosine-protein kinase Src (SRC) and signal transducer and activator of transcription 3 (STAT3) pathways. SNP-containing serum inhibited the proliferation of HepG2 and Huh7 cells at concentrations of 2.5% and 5.0%, respectively, after 24 h of treatment. Furthermore, SNP suppressed tumor progression in tumor-bearing mice exposed to CRS. SNP treatment also downregulated the expressions of stress-related proteins and pro-inflammatory cytokines, primarily by modulating the gut microbiota. Specifically, the abundance of Alistipes and Prevotella, which belong to the phylum Bacteroidetes, increased in the SNP-treated group, whereas Lachnospira, in the phylum Firmicutes, decreased. CONCLUSION SNP can combat HCC by alleviating stress responses through the regulation of gut microbiota.
Animals ; Gastrointestinal Microbiome/drug effects* ; Liver Neoplasms/microbiology* ; Carcinoma, Hepatocellular/microbiology* ; Humans ; Drugs, Chinese Herbal/therapeutic use* ; Powders ; Cell Proliferation/drug effects* ; Mice ; Molecular Docking Simulation ; Cell Line, Tumor ; Hep G2 Cells ; Receptors, Adrenergic, beta-2/genetics* ; Stress, Physiological/drug effects* ; Cell Movement/drug effects* ; Male ; Protein Interaction Maps/drug effects* ; Cell Survival/drug effects* ; Proto-Oncogene Mas

Homo- or heterodimeric compounds that affect dimeric protein function through interaction between monomeric moieties and protein subunits can serve as valuable sources of potent and selective drug candidates. Here, we screened an in-house dimeric natural product collection, and panepocyclinol A (PecA) emerged as a selective and potent STAT3 inhibitor with profound anti-tumor efficacy. Through cross-linking C712/C718 residues in separate STAT3 monomers with two distinct Michael receptors, PecA inhibits STAT3 DNA binding affinity and transcription activity. Molecular dynamics simulation reveals the key conformation changes of STAT3 dimers upon the di-covalent binding with PecA that abolishes its DNA interactions. Furthermore, PecA exhibits high efficacy against anaplastic large T cell lymphoma in vitro and in vivo, especially those with constitutively activated STAT3 or STAT3^Y640F. In summary, our study describes a distinct and effective di-covalent modification for the dimeric compound PecA to disrupt STAT3 function.

Delirium is a common cause and complication of hospitalization in the elderly and is associated with higher risk of future dementia and progression of existing dementia, of which 70% is Alzheimer's disease (AD). AD and delirium, which are known to be aggravated by one another, represent significant societal challenges, especially in light of the absence of effective treatments. The intricate biological mechanisms have led to numerous clinical trial setbacks and likely contribute to the limited efficacy of existing therapeutics. Artificial intelligence (AI) presents a promising avenue for overcoming these hurdles by deploying algorithms to uncover hidden patterns across diverse data types. This review explores the pivotal role of AI in revolutionizing drug discovery for AD and delirium from target identification to the development of small molecule and protein-based therapies. Recent advances in deep learning, particularly in accurate protein structure prediction, are facilitating novel approaches to drug design and expediting the discovery pipeline for biological and small molecule therapeutics. This review concludes with an appraisal of current achievements and limitations, and touches on prospects for the use of AI in advancing drug discovery in AD and delirium, emphasizing its transformative potential in addressing these two and possibly other neurodegenerative conditions.

Objective:To explore the correlation of cumulative atherogenic index of plasma (cumAIP) and cumulative atherosclerosis index (cumAI) with new-onset non-alcoholic fatty liver disease (NAFLD).Methods:From January 2017 to December 2023, 2 472 subjects who underwent health checkups at the Second Affiliated Hospital of Dalian Medical University for 3 consecutive years were enrolled. Triglyceride, total cholesterol, high density lipoprotein cholesterol and their measurement time intervals were used to calculate cumAIP and cumAI. The subjects were divided into Q1, Q2, Q3 and Q4 groups with the threshold values of 25th percentile, median and 75th percentile of the baseline atherogenic index of plasma (AIP) and atherosclerotic index (AI) subjects. Cox regression model was used to analyze the effects of cumAIP and cumAI on the new-onset NAFLD, restricted cubic spline was performed to analyze the nonlinear association between cumAIP and cumAI and new-onset NAFLD, and the clinical decision curve was used to compare the decision value of different indicators for NAFLD. Results:The risk of NAFLD gradually increased along with the increasing of cumAIP and cumAI. In the quartile groups of cumAIP, the incidence of Q1 to Q4 groups was 6.15%, 8.74%, 15.05%, and 25.08%, respectively. In the quartile groups of cumAI, the incidence of Q1 to Q4 groups was 5.99%, 11.17%, 15.21%, and 22.65%, respectively. After adjusting the confounding factors, the risk of new-onset NAFLD in the high-level group ( Q4) was higher than that in the low-level cumAIP group ( Q1) ( HR=3.15, 95% confidence interval (95% CI): 2.15 to 4.63, P<0.001) and the high-level cumAI group ( Q4) ( HR=2.74, 95% CI: 1.82 to 4.10, P<0.001). cumAIP and cumAI showed a significant nonlinear association with new-onset NAFLD ( χ2=119.15, 94.53; both P<0.001). The cumAIP had higher predictive value for NAFLD than the other cumulative lipid metrics and baseline AIP or AI. Conclusion:CumAIP and cumAI can be served as new predictive indicators of NAFLD, with a particular focus on the dynamic cumulative changes of AIP, which can achieve effective early screening for NAFLD.

Objectives:To compare the intraoperative neurophysiological monitoring(IONM)results during 3-column osteotomy surgery in severe congenital scoliosis(CS)patients with or without intraspinal anomalies,and to explore the effect of intraspinal anomaly on the incidence of IONM alarm events and postoperative out-comes in CS patients.Methods:Clinical data of patients with severe CS who underwent 3-column osteotomy surgery in our hospital from September 2020 to May 2023 were retrospectively analyzed.The patients were divided into two groups according to whether combined with intraspinal anomalies.The basic information,the latency and amplitude of somatosensory evoked potentials(SSEPs)of both lower extremities,amplitude of tran-scranial electric motor evoked potentials(TCeMEPs),as well as the sensitivity and specificity of multimodal IONM were compared between the two groups.The incidence of IONM alarm events and postoperative out-comes were analyzed.Results:A total of 37 patients who met the criteria were included in the study,of which 14 patients combined with intraspinal anomalies,including 8 cases of syringomyelia,2 case of tethered cord,1 case of diastematomyelia,1 case of diastematomyelia combined with tethered cord,and 2 cases of sy-ringomyelia combined with tethered cord.The latency of SSEPs-P3 7 in the concave side lower extremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without intraspinal anomalies(40.9±3.3ms vs 38.0±3.7ms,P=0.03).In addition,the sensitivity and specificity of multimodal IONM were comparable between the two groups.There was no significant difference in the incidence of abnormal SSEPs,the incidence of IONM alarm events and the incidence of postoperative neurological symptoms between the two groups(P＞0.05).Conclusions:Multimodal IONM provides excellent monitoring effects in severe CS paitents undergoing 3-column osteotomy surgery.The latency of SSEPs-P37 in the concave side lower ex-tremity of CS patients with intraspinal anomalies was significantly longer than that of CS patients without in-traspinal anomalies.Intraspinal anomalies don't increase the incidence of intraoperative IONM alarm events or the incidence of postoperative neurological complications.

Encephalomyocarditis virus(EMCV)is a zoonotic pathogen that causes encephalitis and myocarditis as its primary clinical manifestations.To explore effective preventive measures,this study utilized a Bac-to-Bac expression system to insert the EMCV P12A and 3C genes into the pFastBacDual shuttle vector,resulting in the generation of the recombinant baculovirus Ac-P12A-3C.This facilitated the large-scale expression and purification of EMCV virus-like particles(VLPs),which were correctly assembled into particles of approximately 30 nm in diameter,as ob-served by electron microscopy.Immunization and challenge experiments in mice demonstrated that these VLPs could effectively protect against EMCV infection,achieving a protection rate of 100％.Histopathological sections indicated that,compared to the PBS control group,the VLP immuniza-tion group exhibited significantly reduced tissue damage,along with a marked decrease in viral load within the tissues.In piglets,immunization with the VLPs elicited a robust humoral response,with neutralizing antibody titers reaching 1∶320 to 1∶640 after a second immunization,and no signifi-cant adverse reactions were observed throughout the immunization process.This study preliminarily explores the immunogenicity and safety of the VLP vaccine,laying the foundation for the development of a subunit vaccine based on EMCV VLPs and offering a new strategy for the prevention and control of encephalomyocarditis.

Aim To investigate the anti-acute lung injury(ALI)effect of Sterculiae Lychnophorae Semen(SLS)and its mechanism.Methods The main ac-tive components of SLS and their core targets and path-ways of action against ALI were obtained by network pharmacology methods.Subsequently,molecular doc-king technology and in vitro cellular experiments were applied for validation.Results A total of 19 core tar-gets were obtained,including HSP90AA1,CASP3,TNF,MAPK8 and MAPK14.The mechanisms may in-volve signaling pathways such as cancer,PI3K/Akt and MAPK.Molecular docking confirmed that the key targets of SLS formed a better binding activity with the relevant active ingredients.The in vitro results showed that SLS was able to protect the PM2.5-contaminated BEAS-2B cells,inhibit their NO,IL-1β and TNF-αlevels,and reduce the expression of p-p38 MAPK and p-JNK proteins.Conclusions The study successfully predicts the active ingredients,targets and signaling pathways of SLS against ALI,and in vitro experiments demonstrate that SLS might protect BEAS-2B cells from PM2.5 stimulus-induced inflammation and apoptosis by inhibiting the over-activation of p38 MAPK and JNK signaling pathways.