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

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.

Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.

Drug-induced liver injury(DILI)is a common adverse drug reaction in clinical practice,which can lead to acute liver failure and even death in severe cases.In recent years,with the continuous introduction of new drugs and the expansion of their usage,the incidence and mortality rates of DILI have shown an upward trend,posing significant challenges to public health and clinical treatment.Macrophages,as a crucial component of the innate immune system,exhibit high plasticity and heterogeneity.They can polarize into pro-inflammatory M1 type or anti-inflammatory M2 type in response to microenvironmental signals.Research has demonstrated that macrophage polarization plays a central regulatory role in the occurrence and progression of DILI by influencing various processes such as inflammatory responses,cell apoptosis,and tissue repair.This review focuses on elucidating the regulatory mechanisms and roles of macrophage polarization in DILI,providing a theoretical framework for developing precise immunotherapeutic strategies.

Objective To explore the establishment of a risk prediction model for concurrent bronchiolitis obliterans(BO)in children with refractory Mycoplasma pneumoniae pneumonia(RMPP).Methods A retrospective study included 116 RMPP children treated in the Department of Pediatrics of Xiangya Changde Hospital from June 2021 to December 2023.Eighty-one cases were allocated to the training set and thirty-five cases to the validation set based on a 7:3 ratio.Among them,26 cases in the training set developed BO,while 55 did not.The multivariate logistic regression was used to select variable factors for constructing the BO risk prediction model.Nomograms were drawn,and the receiver operating characteristic(ROC)curve was used to assess the discriminative ability of the model,while calibration curves and Hosmer-Lemeshow tests evaluated the model's calibration.Results Multivariate logistic regression analysis indicated that several factors were significantly associated with concurrent BO in RMPP children,including length of hospital stay,duration of fever,atelectasis,neutrophil percentage(NEUT%),peak lactate dehydrogenase(LDH),ferritin,peak C reactive protein(CRP),oxygenation index(PaO2/FiO2),≥2/3 lung lobe consolidation,pleural effusion,bronchial mucous plugs,bronchial mucosal necrosis,and arterial oxygen partial pressure(PaO2)(P<0.05).ROC curve analysis for the training set indicated an area under the curve of 0.904 with 88%sensitivity and 83%specificity;the validation set showed an area under the curve of 0.823 with 76%sensitivity and 93%specificity.The Hosmer-Lemeshow test's Chi-square values for the training and validation sets were 2.17 and 1.92,respectively,with P values of 0.221 and 0.196,respectively.Conclusions The risk prediction model for BO in RMPP children based on logistic regression has good performance.Variables such as length of hospital stay,duration of fever,atelectasis,peak LDH,peak CRP,NEUT%,ferritin,≥2/3 lung lobe consolidation,pleural effusion,bronchial mucous plugs,bronchial mucosal necrosis,PaO2/FiO2,and PaO2 can be used as predictors.

PI3Kγ and PI3Kδ have important regulatory roles in the immune system, and targeting these two subtypes helps to reshape the tumor microenvironment. PI3Kγ and PI3Kδ are potential targets for tumor immunotherapy. In this study, a series of new pyrazolopyrimidine derivatives were designed and synthesized on the basis of our previously reported PI3K inhibitors, resulting in the discovery of compound 16l as a potent and selective PI3Kγ/δ dual inhibitor. Compound 16l demonstrated strong biochemical potencies against PI3Kγ and PI3Kδ with IC₅₀ values of 0.11 and 0.79 nmol·L^-1. In cell-based assays, it potently inhibited the PI3Kγ and PI3Kδ mediated Akt S473 phosphorylation with EC₅₀ values of 3 and 7 nmol·L^-1. In vivo, compound 16l exhibited acceptable pharmacokinetic properties in Sprague-Dawley (SD) rats and suppressed the tumor growth in a MC38 syngeneic mouse model. The animal experiments were approved by the Animal Ethics Committee of Hefei Institutes of Physical Science, Chinese Academy of Sciences (approval number: DWLL-2000-06). In addition, no appreciable human ether-a-go-go-related gene (hERG) inhibition was observed for compound 16l even at 30 μmol·L^-1. These results suggested that compound 16l might be a potential research tool for studying the PI3Kγ/δ mediated signaling pathways.

Objective To establish a HPLC method for the simultaneous determination of artemisinin,arteannuin B,chrysosplenetin and chrysosplenol-D in the water extract of Artemisia annua L.Methods The analysis was performed on Agilent ZORBAX SB-C18(250 mm×4.6 mm,5 μm)column with a mobile phase of acetonitrile(A)-water(B)and the flow rate of 0.8 mL·min-1 in a gradient elution manner.The column temperature was 30℃.The injection volume was 10 μL,and the detection wavelength was 210 nm.Results Artemisinin,arteannuin B,chrysosplenetin and chrysosplenol-D were correlated well linearly with peak area in their respective ranges 1.608 8-16.088 μg(r=0.999 9),0.014 1-0.141 4 μg(r=1),0.185 1-1.850 9 μg(r=0.999 9),0.144 1-1.441 4 μg(r=0.999 9),the average recovery rate(n=6)were 102.44%,97.82%,95.07%,95.55%,and the RSD values were 1.12%,1.44%,1.29%,1.53%.Conclusion This method is convenient and accurate.It has good stability and repeatability,and can be used to simultaneously determine the content of artemisinin,arteannuin B,chrysosplenetin and chrysosplenol-D in the water extract of Artemisia annua L.

Objective To investigate the biological function and main molecular mechanism of long noncoding RNA RMRP(lncRNA RMRP)in endometrial carcinoma.Methods The specimens of carcinoma tissues and adjacent tissues of 30 patients with endometrial carcinoma who received surgical treatment in our hospital were collected.RT-qPCR was used to detect the expression of lncRNA RMRP in endometrial carcinoma tissues and adjacent tissues,and HESC cells and HEC-1-A cells.The endometrial carcinoma cell line HEC-1-A was cultured in vitro,and the Vector,pcDNA-RMRP,NC-siRNA,RMRP-siRNA,NC mimic,miR-580-3p mimic,pcDNA-RMRP+NC mimic,pcDNA-RMRP+ miR-580-3p mimic,RMRP-siRNA+Vector,RMRP-siRNA+pcDNA-JAK2,NC inhibitor,and miR-580-3p inhibitor were transfected into HEC-1-A cells as the Vector group,the pcDNA-RMRP group,the NC-siRNA group,the RMRP-siRNA group,the NC mimic group,the miR-580-3p mimic group,the pcDNA-RMRP+NC mimic group,the pcDNA-RMRP+miR-580-3p mimic group,the RMRP siRNA+Vector group,the RMRP-siRNA+pcDNA-JAK2 group,the NC inhibitor group,and the miR-580-3p inhibitor group respectively.RT-qPCR was used to detect the expression of lncRNA RMRP and miR-580-3p in cells.CCK-8 was used to detect cell proliferation rate.The apoptosis rate was detected by flow cytometry analysis.Bioinformatics software and dual luciferase reporter gene experiment were used to predict and verify the targeted relationships between miR-580-3p and lncRNA RMRP,as well as miR-580-3p and JAK2.Western blot was used to detect the protein expression of JAK/STAT signaling pathway.Results Compared with adjacent tissues,lncRNA RMRP was highly expressed in endometrial carcinoma tissues(P<0.05).Compared with HESC cells,the expression of lncRNA RMRP in HEC-1-A cells was significantly increased(P<0.05).pcDNA-RMRP significantly promoted cell proliferation and inhibited cell apoptosis,while RMRP-siRNA significantly inhibited cell proliferation and promoted cell apoptosis,with statistically significant diferences(P<0.05).miR-580-3p was the downstream target miRNA of lncRNA RMRP,and lncRNA RMRP could negatively regulate the expression of miR-580-3p.JAK2 was the downstream target gene of miR-580-3p,and miR-580-3p could negatively regulate the expression of JAK2 protein.pcDNA-RMRP significantly increased the protein levels of JAK2,p-JAK2 and p-STAT3 in the cells,while co-transfection of pcDNA-RMRP and miR-580-3p mimic significantly decreased the protein levels of JAK2,p-JAK2 and p-STAT3,with statistically significant diferences(P<0.05).RMRP-siRNA could signifi-cantly reduce the protein levels of JAK2,p-JAK2 and p-STAT3 in cells.After co-transfection of RMRP-siRNA and pcDNA-JAK2,the protein levels of JAK2,p-JAK2 and p-STAT3 were significantly increased,with statistically significant diferences(P<0.05).In addition,co-transfection of RMRP-siRNA and pcDNA-JAK2 increased cell proliferation and decreased cell apoptosis,with statistically significant diferences(P<0.05).Conclusion Knockdown of lncRNA RMRP could inhibit endometrial carcinoma cell proliferation and promote cell apoptosis by regulating JAK2/STAT3 signaling pathway,which might be a potential therapeutic target for endometrial carcinoma.

Aim To explore the protective effect of Yishen Huashi Granule (YSHS) on streptozotocin (STZ) - indueed diabetes nephropathy (DN) in mice and its possible mechanism. Methods The STZ induced DN mice model was established, which was randomly divided into model group, YSHS group and YAP inhibitor Vertepofin group, and the eontrol group was also established. The intervention was started eight weeks after the successful modeling with the course of four weeks. Urine protein concentration before and after intervention in each group as well as serum creatinine (Scr) and blood urea nitrogen (Bun) levels after intervention were measured. After the treatment, the mice were sacrificed, and the pathological changes of glomeruli were observed by light microscope HE staining. The protein expression of YAP, p-YAP S127 and CTGF were detected by Western blot, and the mRNA expressions of YAP, CTGF and podocyte functional proteins nephrin, podophyxin and WT1 were detected by RT-PCR. Results The biochemical indexes of YSHS group were better than those of model group, and HE staining showed that the pathological injury of glomeruli was improved. In the model group the protein expression of YAP, p-YAP (S127) and CTGF as well as the mRNA expression of YAP and CTGF increased, while the mRNA expression of nephrin, podocalyxin and WT1 decreased. After YSHS treatment, the protein expression of YAP, p-YAP S127, CTGF and the mRNA expression of YAP and CTGF decreased, while the mRNA expression of nephrin, podocalyxin and WT1 increased. Conclusions YSHS can reduce urinary protein, protect renal function and alleviate glomerular pathological injury in DN mice. Its possible mechanism may be related to the down-regulation of YAP in renal tissue, the reduction of CTGF expression level and the up-regulation of podocyte protein mRNA expression.