OBJECTIVE: To analyze the core acupoint selection rules and syndrome-based compatibility patterns of acupuncture for autism spectrum disorder (ASD) using data mining techniques. METHODS: Relevant literature of acupuncture for ASD was retrieved from CNKI, Wanfang, VIP, PubMed, and Web of Science. After applying inclusion and exclusion criteria, a prescription database was established based on the extracted effective data. Descriptive analysis was conducted on the frequency, meridian tropism, anatomical distribution, and specific point. High-frequency acupoints were visualized using Origin software. The Apriori algorithm in IBM SPSS Modeler 18.0 was used for association rule analysis of acupoint combinations. Cluster analysis of high-frequency acupoints was performed using IBM SPSS Statistics 26.0. The relationships between high-frequency syndromes and acupoints were visualized using Cytoscape 3.10.0. RESULTS: A total of 223 studies and 452 prescriptions were included, among which 223 were based on syndrome differentiation. A total of 205 acupoints were included with a cumulative frequency of 4 067. The top five most frequently used acupoints were Baihui (GV20), Sishenzhen, Zhisanzhen, Niesanzhen, and Neiguan (PC6). Acupoints were primarily from Jin's three-needle therapy, the governor vessel, scalp acupuncture, and the foot-taiyang bladder meridian, with a high proportion of acupoints located on the head and neck and the limbs. Among specific point, five-shu points, yuan-source points, and back-shu points were most frequently used. Association rule analysis revealed that the core acupoint group was Sishenzhen-Dingshenzhen-Zhisanzhen-Niesanzhen. Cluster analysis divided the top 20 high-frequency acupoints into four categories: governor vessel activation and brain awakening group, spleen strengthening and heart nourishing group, Jin's three-needle spirit-regulating group, and kidney-reinforcing and marrow-filling group. Clinically, the main syndrome patterns were kidney essence deficiency, hyperactivity of heart and liver fire, phlegm obstructing the heart orifices, dual deficiency of heart and spleen, and liver qi stagnation. CONCLUSION The core acupoint prescriptions of acupuncture for ASD are Sishenzhen, Dingshenzhen, Zhisanzhen, and Niesanzhen. The treatment emphasizes spirit regulation and mental tranquility, guided by the principles of harmonizing multiple zang-fu organs, regulating qi and blood, unblocking qi movement, and balancing yin and yang. Syndrome-based acupoint compatibility is recommended in clinical practice.
Humans ; Acupuncture Points ; Acupuncture Therapy ; Autism Spectrum Disorder/therapy* ; Data Mining ; Meridians

OBJECTIVE: To analyze RELT gene mutation found in a pedigree with clinical features and inheritable pattern consistent with amelogenesis imperfecta (AI) in China, and to study the relationship between its genotype and phenotype. METHODS: Clinical and radiological features were recorded for the affected individuals. Peripheral venous blood samples of the patient and family members were collected for further study, and the genomic DNA was extracted to identify the pathogenic gene. Whole exome sequencing (WES) was performed to analyze the possible pathogenic genes, and Sanger sequencing was performed for validation. SIFT and PolyPhen-2 were used to predict and analyze the mutation effect. Comparison of RELT amino acids across different species were performed by using Uniprot website. In addition, the three-dimen-sional structures of the wild type and mutant proteins were predicted by Alphafold 2. RESULTS: The proband exhibited typical hypocalcified AI, with heavy wear, soft enamel, rough and discolored surface, and partial enamel loss, while his parents didn ' t have similar manifestations. WES and Sanger sequencing results indicated that the proband carries a homozygous frameshift mutation in RELT gene, NM_032871.3: c.1169_1170del, and both of his parents were carriers. This mutation was predicted to be pathogenic by SIFT and PolyPhen-2. Up to now, there were 11 mutation sites in RELT gene were reported to be associated with AI, and all of the patients exhibited with hypocalcified AI. Compared with the wild-type RELT protein, the mutant protein p. Pro390fs35 conformation terminated prematurely, affecting the normal function of the protein. CONCLUSION Through phenotype analysis, gene sequencing, and functional prediction of a Chinese family with typical amelogenesis imperfecta, this study found that RELT gene frameshift mutation can lead to protein dysfunction in AI patients. Further research will focus on the role and mechanism of RELT in enamel development at the molecular and animal levels, providing molecular biology evidence for the genetic counseling, prenatal diagnosis, and early prevention and treatment of AI.
Humans ; Amelogenesis Imperfecta/genetics* ; Frameshift Mutation ; Male ; Pedigree ; Female ; China ; Exome Sequencing ; Phenotype ; Adult

Objective To investigate the possible mechanism of action of Jinqi Qingshu granules(JQQSG)in the treatment of community-acquired pneumonia(CAP)by network pharmacology and molecular docking technology.Methods The TCMSP database and SwissTargetPrediction database were used to obtain and screen the active ingredients and targets of JQQSG,and GeneCards,OMIM,TTD,and DisGeNET databases were used to search for the predicted targets of CAP,and the two targets were mapped and then imported into STRING database to construct a PPI network to screen the key targets,and then the GO and KEGG pathway enrichment were analyzed by the DAVID database,and molecular docking was carried out by the AutoDock Tools software.Results 209 active ingredients and 1 041 targets of JQQSG were obtained after screening;312 targets were co-activated with CAP,and 64 core targets were obtained after PPI network screening.571 biological processes,68 cellular components,and 199 molecular functions were analyzed by GO enrichment,and 165 KEGG pathways were analyzed by KEGG pathway enrichment,mainly involved in protein action,apoptosis and MAPK signaling pathway.Molecular docking suggests that the core target and the core components all have good binding ability.Conclusion The mechanism of action of JQQSG in the treatment of CAP may be related to its regulation of Akt,MAPK signaling pathway,improvement of oxidative stress,and other pathways to exert anti-inflammatory and antioxidant effects,which could lay the foundation for further in-depth study of its specific mechanism of action.

Objective To establish a method of LC-MS/MS for determining cordycepin(Cor)and 3′-deoxyinosine(3′-Deo)concentration in rat plasma,and to study their pharmacokinetics in rats.Methods Protein was precipitated with methanol using 2-chloadenosine(2-Chl)as an internal standard.The chromatography was performed on Kinetex C18(3 mm×100 mm,2.6 μm,Phenomenex,USA)with gradient elution in aqueous(5 mmol·L-1 ammonium acetate)-methanol solution as mobile phase.ESI ion source was used for mass spectrometry,and positive ion multiple reaction monitoring(MRM)was used for scanning detection.The pharmacokinetics of Cor and 3′-Deo after oral administration of Cor(10 mg·kg-1)were studied in rats.Results Cor at 0.5-100 ng·mL-1 and 3′-Deo at 1-200 ng·mL-1 had good linearity,and the lower limits of quantification were 0.5 and 1 ng·mL-1,respectively.After oral administration of Cor in rats,the plasma concentration of Cor was low,which was mainly converted into the metabolite 3′-Deo.The Cmax of Cor and 3′-Deo were(5.4±3.4)and(142.0±50.0)ng·mL-1,and AUC0-360min min were(658.4±459.3)and(18 034.9±4 981.1)ng·min·mL-1,respectively.Conclusion The method is simple,sensi-tive,and accurate,which is suitable for determining Cor and 3′-Deo concentration in plasma and the pharmacokinetic study.

Objective To assess the effect of ultrasonic thyroid artificial intelligence(AI)-assisted diagnostic system(AI-assisted diagnostic system)for diagnosing medullary thyroid carcinoma(MTC)compared with different physicians and taken papillary thyroid carcinoma(PTC)as the controls.Methods Totally 63 MTC,70 PTC and 62 benign thyroid nodules confirmed by pathology were enrolled.AI-assisted diagnostic system was utilized to analyze thyroid nodules and identify the likelihood of malignancy,and the probability value threshold was set at ≥0.40.All thyroid nodules were retrospectively reviewed and categorized by 3 physicians(1 senior physician,1 attending physician and 1 junior physician)according to Chinese thyroid imaging reporting and data system(C-TIRADS).The efficacy of AI-assisted diagnostic system and physicians for diagnosing MTC and PTC were evaluated.Results AI-assisted diagnostic system showed lower sensitivity,specificity,positive predictive value,negative predictive value,accuracy,and area under the curve(AUC)for diagnosing MTC and PTC compared with physicians.Significant differences of AUC were found between senior physician and AI-assisted diagnostic system,as well as between attending physician and AI-assisted diagnostic system for diagnosing MTC and PTC(all P＜0.01),while no significant difference of AUC was between junior physicians and AI-assisted diagnostic system(both P＞0.05).The sensitivity,specificity,positive predictive value,negative predictive value,accuracy and AUC for AI-assisted diagnostic system for diagnosing MTC were all lower than those for diagnosing PTC,but the AUC was not significantly different(P＞0.05).Conclusion Ultrasonic thyroid AI-assisted diagnostic system had relatively high value for diagnosing MTC.

Objective:To examine the correlation between serum Klotho levels and frailty in elderly people.Methods:In this cross-sectional study, 150 community-dwelling elderly people aged 65 years and over were enrolled.Subjects were divided into a frail(n=50, 33.3%), a pre-frail(n=47, 31.3%)and a non-frail(n=53, 35.3%)group based on the Fried phenotype.General participant data, routine laboratory test results, short physical performance battery(SPPB)results and human body composition data were collected.Serum Klotho protein levels were measured by an enzyme-linked immunosorbent assay.The relationship between serum Klotho protein levels and frailty was analyzed by using Spearmen's correlation analysis and Logistic regression analysis.Results:Klotho protein levels were lower in the frail group than in the non-frail group( P=0.001), whereas differences between the frail group and the pre-frail group and between the pre-frail group and the non-frail group were not statistically significant(all P>0.05).When Klotho protein levels were classified into four quartiles, i.e., Q 1, Q 2, Q 3, and Q 4, using three cut-off vales(2.28, 3.52, and 5.09 mg/L), the prevalences of frailty were 51.4%(19/37), 39.5%(15/38), 24.3%(9/37)and 18.4%(7/38), respectively.The prevalence of frailty decreased with increasing Klotho protein levels( χ2=11.204, P=0.011).Spearman correlation analysis showed that the Klotho protein level was negatively correlated with frailty( r=-0.310, P<0.001).Multivariate Logistic regression analysis results showed that age( OR=1.109, 95% CI: 1.011-1.217, P=0.028)and sarcopenia( OR=6.511, 95% CI: 1.279-33.147, P=0.024)were risk factors for frailty, while walking( OR=0.104, 95% CI: 0.033-0.326, P<0.001), a high SPPB score( OR=0.780, 95% CI: 0.627-0.970, P=0.026), and a high Klotho protein level( OR=0.752, 95% CI: 0.581-0.974, P=0.031)were protective factors against frailty. Conclusions:The serum Klotho protein level may be used as a parameter for the assessment of frailty.It is negatively correlated with frailty, suggesting that elderly people with low serum Klotho protein levels are at high risk of developing frailty.

Objective:To explore the relevant risk factors and prognosis of patients with intrahepatic cholangiocarcinoma (ICC) who experienced recurrence within 6 months after surgeryMethods:This retrospective study included a total of 259 patients with ICC a treated at He'nan Provincial People's Hospital and He'nan Cancer Hospital from Jan 2018 to Jan 2020. The clinical and pathological data ,differences between the group with recurrence within 6 months and the group without recurrence within 6 months were compared using the chi-square test. Logistic regression analysis was used to determine the relevant risk factors for recurrence within 6 months. Kaplan-Meier method was used to construct survival and recurrence curves, and survival rates were calculated.Results:The overall survival and recurrence-free survival of patients in the group with recurrence within 6 months were significantly shorter. CA19-9, tumor longitudinal diameter, microvascular invasion, and neural invasion were identified as independent risk factors for recurrence within 6 months after ICC surgery ( P<0.001). Conclusion:The patient population experiencing recurrence within 6 months after ICC surgery has an extremely poor prognosis and possesses a specific tumor microenvironment. CA19-9, tumor longitudinal diameter, microvascular invasion, and neural invasion were identified as independent risk factors for recurrence within 6 months after ICC surgery.

Objective:To construct and validate a machine learning model for preoperative prediction of perineural invasion (PNI) status in intrahepatic cholangiocarcinoma (ICC).Methods:Clincial data of 329 patients, including 245 admitted to Zhengzhou University People's Hospital from January 2018 to June 2023 and 84 admitted to the Affiliated Cancer Hospital of Zhengzhou University from January 2013 to January 2020 were retrospectively analyzed. Patients were divided into a training set ( n=231) and a validation set ( n=98). Clinicopathological data including age, gender, hepatitis B virus (HBV) infection status were collected. Predictive variables were determined using least absolute shrinkage and selection operator (LASSO) regression analysis. Six machine learning algorithms including random forest (RF), logistic regression, and linear kernel-based support vector machine were selected to construct the preoperative prediction model for PNI in ICC. Performance metrics of the model were calculated using a confusion matrix, and the final model was selected. The model performance was evaluated in the validation set. Calibration curves were plotted to evaluate the final model, and a Pareto chart was used to visualize the importance of predictive variables. Results:LASSO regression identified nine predictive variables included in the prediction model, including carbohydrate antigen 19-9 (CA19-9), HBV infection status, alkaline phosphatase, alanine aminotransferase, prothrombin time, total bilirubin, albumin, neutrophil times gamma-glutamyl transferase to lymphocyte ratio, and tumor burden score. Among the trained six models, the area under the curve (AUC) of the RF model was 0.909, with a sensitivity of 0.842 and an accuracy of 0.870. Compared with the AUC of the RF model, the AUCs of the other 5 models were lower (all P<0.05). The AUC of the RF model for predicting PNI in ICC in validation set was 0.736. Calibration curves showed good fit of the RF model's prediction of PNI in ICC in both training and validation sets. The Pareto chart showed that CA19-9 was the most important predictive variable in the model, followed by HBV infection status. Conclusion:The machine learning model based on the RF algorithm has a high accuracy in preoperative prediction of PNI status in ICC.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To explore the prognostic value of systemic immune-inflammatory index(SII)combined with tumor burden score (TBS) (hereinafter referred to as STS) in patients with intrahepatic cholangiocarcinoma (ICC) after radical resection, and to construct a nomogram model.Methods:The clinical data (including the degree of tumor differentiation, vascular cancer thrombus, and lymph node metastasis, etc.) of 258 ICC patients who received radical resection at People′s Hospital of Zhengzhou University (170 cases, training set) and Cancer Hospital of Zhengzhou University (88 cases, validation set) from January 1, 2016 to January 31, 2020 were retrospectively analyzed and graded by SII, TBS and STS. Multivariate Cox regression analysis were used to identify independent factors affecting the prognosis of patients with ICC. Kaplan-Meier survival curve and receiver operating characteristic curve (ROC) were drawn to evaluate the predictive efficiency of SII, TBS and STS in the overall survival of patients with ICC after radical resection. The nomogram prediction model was constructed and evaluate the performance of nomogram model using consistency index (C-index) and calibration curve.Results:Among 170 ICC patients in the training set, there were 106 cases of SII grade 1 and 64 cases of SII grade 2; 137 cases of TBS grade 1 and 33 cases of TBS grade 2; and 98 cases of STS grade 1, 47 cases of STS grade 2, and 25 cases of STS grade 3. Among 88 ICC patients in the validation set, there were 33 cases of SII grade 1 and 55 cases of SII grade 2; 66 cases of TBS grade 1 and 22 cases of TBS grade 2; and 30 case of STS grade 1, 39 cases of TBS grade 2, and 19 cases of TBS grade 3.The multivariate Cox regression analysis showed that tumor differentiation degree (highly differentiated vs. moderately differentiated HR=0.157, 95% confidence interval(95% CI) 0.045 to 0.546, highly differentiated vs. poorly differentiated HR=0.452, 95% CI 0.273 to 0.750), STS (grade 3 vs. grade 2 HR=1.966, 95% CI 1.148 to 3.469; grade 3 vs. grade 1 HR=1.405, 95% CI 0.890 to 2.216), vascular cancer thrombus ( HR=2.006, 95% CI 1.313 to 3.066), nerve invasion ( HR=1.865, 95% CI 1.221 to 2.850), and lymph node metastasis ( HR=1.802, 95% CI 1.121 to 2.896) were independent influencing factors of overall survival in ICC patients after radical resection (all P<0.05). The Kaplan-Meier survival curve showed that SII, TBS, and STS were independent influencing factors of overall survival in ICC patients (all P<0.05). The results of ROC analysis showed that the areas under the curve of SII, TBS and STS in predicting overall survival of ICC patients after radical resection were 0.566 (95% CI 0.479 to 0.652), 0.585 (95% CI 0.499 to 0.672), and 0.657 (95% CI 0.522 to 0.692), respectively. Tumor differentiation, vascular tumor thrombus, nerve invassion, lymph node metastasis, and STS were included to constract the nomogram model. The C-indexes of the training set and validation set based on the nomogram model were 0.792 (95% CI 0.699 to 0.825) and 0.776 (95% CI 0.716 to 0.833), respectively. The calibration curves of the survival rate of the training set and the validation set were close to the reference lines, and the nomogram model had better predictive ability in both the training set and the validation set. Conclusions:Preoperative STS grading is an effective and practical predictor of overall survival in ICC patients after radical section. Compared with SII and TBS alone, it has better predictive value for the prognosis of patients with ICC.