ObjectiveTo investigate the value of different noninvasive diagnostic models in the diagnosis of esophageal and gastric varices since there is a high risk of esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and to provide a basis for the early diagnosis of esophageal and gastric varices. MethodsA total of 108 patients with significant portal hypertension due to compensated hepatitis B cirrhosis who attended Guangdong Provincial Hospital of Traditional Chinese Medicine from November 2017 to November 2023 were enrolled， and according to the presence or absence of esophageal and gastric varices under gastroscopy， they were divided into esophageal and gastric varices group （GOV group） and non-esophageal and gastric varices group （NGOV group）. Related data were collected， including age， sex， imaging findings， and laboratory markers. The chi-square test was used for comparison of categorical data between groups； the least significant difference t-test was used for comparison of normally distributed continuous data between groups， and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups. The receiver operating characteristic （ROC） curve was plotted to evaluate the diagnostic value of five scoring models， i.e.， fibrosis-4 （FIB-4）， LOK index， LPRI， aspartate aminotransferase-to-platelet ratio index （APRI）， and aspartate aminotransferase/alanine aminotransferase ratio （AAR）. The binary logistic regression method was used to establish a combined model， and the area under the ROC curve （AUC） was compared between the combined model and each scoring model used alone. The Delong test was used to compare the AUC value between any two noninvasive diagnostic models. ResultsThere were 55 patients in the GOV group and 53 patients in the NGOV group. Compared with the NGOV group， the GOV group had a significantly higher age （52.64±1.44 years vs 47.96±1.68 years， t=0.453， P<0.05） and significantly lower levels of alanine aminotransferase ［42.00 （24.00 — 17.00） U/L vs 82.00 （46.00 — 271.00） U/L， Z=-3.065， P<0.05］， aspartate aminotransferase ［44.00 （32.00 — 96.00） U/L vs 62.00 （42.50 — 154.50） U/L，Z=-2.351， P<0.05］， and platelet count ［100.00 （69.00 — 120.00）×10⁹/L vs 119.00 （108.50 — 140.50）×10⁹/L， Z=-3.667， P<0.05］. The ROC curve analysis showed that FIB-4， LOK index， LPRI， and AAR used alone had an accuracy of 0.667， 0.681， 0.730， and 0.639， respectively， in the diagnosis of esophageal and gastric varices （all P<0.05）， and the positive diagnostic rates of GOV were 69.97%， 65.28%， 67.33%， and 58.86%， respectively， with no significant differences in AUC values （all P>0.05）， while APRI used alone had no diagnostic value （P>0.05）. A combined model （LAF） was established based on the binary logistic regression analysis and had an AUC of 0.805 and a positive diagnostic rate of GOV of 75.80%， with a significantly higher AUC than FIB-4， LOK index， LPRI， and AAR used alone （Z=-2.773，-2.479，-2.206， and-2.672， all P<0.05）. ConclusionFIB-4， LOK index， LPRI， and AAR have a similar diagnostic value for esophageal and gastric varices in patients with compensated hepatitis B cirrhosis and significant portal hypertension， and APRI alone has no diagnostic value. The combined model LAF had the best diagnostic efficacy， which provides a certain reference for clinical promotion and application.

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

OBJECTIVE: To assess the relationship between blood pressure reactivity index (BPRI) and in-hospital mortality risk in patients with sepsis-associated acute kidney injury (SA-AKI). METHODS: A retrospective cohort study was conducted to collect data from patients admitted to the intensive care unit (ICU) and clinically diagnosed with SA-AKI between 2008 and 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database in the United States. The collected data included demographic characteristics, comorbidities, vital signs, laboratory parameters, sequential organ failure assessment (SOFA) and simplified acute physiology scoreII(SAPSII) within 48 hours of SA-AKI diagnosis, stages of AKI, treatment regimens, mean BPRI during the first and second 24 hours (BPRI_0_24, BPRI_24_48), and outcome measures including primary outcome (in-hospital mortality) and secondary outcomes (ICU length of stay and total hospital length of stay). Variables with statistical significance in univariate analysis were included in LASSO regression analysis for variable selection, and the selected variables were subsequently incorporated into multivariate Logistic regression analysis to identify independent predictors associated with in-hospital mortality in SA-AKI patients. Restricted cubic spline (RCS) analysis was employed to examine whether there was a linear relationship between BPRI within 48 hours and in-hospital mortality in SA-AKI patients. Basic prediction models were constructed based on the independent predictors identified through multivariate Logistic regression analysis, and receiver operator characteristic curve (ROC curve) was plotted to evaluate the predictive performance of each basic prediction model before and after incorporating BPRI. RESULTS: A total of 3 517 SA-AKI patients admitted to the ICU were included, of whom 826 died during hospitalization and 2 691 survived. The BPRI values within 48 hours of SA-AKI diagnosis were significantly lower in the death group compared with the survival group [BPRI_0_24: 4.53 (1.81, 8.11) vs. 17.39 (5.16, 52.43); BPRI_24_48: 4.76 (2.42, 12.44) vs. 32.23 (8.85, 85.52), all P < 0.05]. LASSO regression analysis identified 20 variables with non-zero coefficients that were included in the multivariate Logistic regression analysis. The results showed that respiratory rate, temperature, pulse oxygen saturation (SpO₂), white blood cell count (WBC), hematocrit (HCT), activated partial thromboplastin time (APTT), lactate, oxygenation index, SOFA score, fluid balance (FB), BPRI_0_24, and BPRI_24_48 were all independent predictors for in-hospital mortality in SA-AKI patients (all P < 0.05). RCS analysis revealed that both BPRI showed "L"-shaped non-linear relationships with the risk of in-hospital mortality in SA-AKI patients. When BPRI_0_24 ≤ 14.47 or BPRI_24_48 ≤ 24.21, the risk of in-hospital mortality in SA-AKI increased as BPRI values decreased. Three basic prediction models were constructed based on the identified independent predictors: Model 1 (physiological indicator model) included respiratory rate, temperature, SpO₂, and oxygenation index; Model 2 (laboratory indicator model) included WBC, HCT, APTT, and lactate; Model 3 (scoring indicator model) included SOFA score and FB. ROC curve analysis showed that the predictive performance of the basic models ranked from high to low as follows: Model 3, Model 2, and Model 1, with area under the curve (AUC) values of 0.755, 0.661, and 0.655, respectively. The incorporation of BPRI indicators resulted in significant improvement in the discriminative ability of each model (all P < 0.05), with AUC values increasing to 0.832 for Model 3+BPRI, 0.805 for Model 2+BPRI, and 0.808 for Model 1+BPRI. CONCLUSIONS BPRI is an independent predictor factor for in-hospital mortality in SA-AKI patients. Incorporating BPRI into the prediction model for in-hospital mortality risk in SA-AKI can significantly improve its predictive capability.
Humans ; Acute Kidney Injury/mortality* ; Sepsis/complications* ; Retrospective Studies ; Hospital Mortality ; Prognosis ; Blood Pressure ; Intensive Care Units ; Male ; Female ; Length of Stay ; Middle Aged ; Aged ; Adult ; Logistic Models

ObjectiveTo observe the effectiveness and safety of the Chinese herbal medicine Mingshi Granules （明视方颗粒） for low myopia in children with heart yang insufficiency. MethodsA multicentre， prospective， double-blind randomised controlled study was conducted， in which 290 children with low myopia from 8 centres were randomly divided into 145 cases in the treatment group and 145 cases in the control group， and the treatment group was given education， dispensing glasses， and Chinese herbal medicine Mingshi Granules， while the control group was given education， dispensing glasses， and granules placebo. Both Mingshi Granules and placebo granules were taken orally， 1 bag each time， twice daily， 4 weeks of oral intake and 2 weeks of rest as 1 course of treatment， a total of 4 courses of treatment （24 weeks）. Equivalent spherical lenses， best naked-eye distance visual acuity， ocular axis， corneal curvature K1， adjustment amplitude， traditional Chinese medicine （TCM） symptom scores， calculate the amount of progression of equivalent spherical lenses， were observed at the 12th and the 24th week of treatment， at the 36th week and 48th week of follow-up， resectively， the control rate of myopia progression was evaluated at the 24th week， and safety indexes were observed before treatment. ResultsThe amount of progression of equivalent spherical lenses was lower in the treatment group than in the control group at the 48-week follow-up （P＜0.05）. The control rate of myopia progression at 24 weeks after treatment in the treatment group was higher （57.60%， 72/125） than that in the control group （44.63%， 54/121） （P＜0.05）. The best naked-eye distance visual acuity at 36-week follow-up in the treatment group was higher than that in the control group （P＜0.05）. Equivalent spherical lenses were significantly lower in both groups at all observation time points compared with pre-treatment （P＜0.05）， and were higher in the treatment group than in the control group at the 48-week follow-up （P＜0.05）. The ocular axes of both groups were significantly higher at each observation time point after treatment and at follow-up compared with before treatment （P＜0.05）. The amount of eye axis growth in the treatment group was lower than that in the control group at 24 weeks after treatment and at the 48-week follow-up （P＜0.05）. Corneal curvature K1 was significantly lower in the treatment group at the 24th week of treatment compared to pre-treatment （P＜0.05）. The magnitude of adjustment in the treatment group was significantly higher at the 36-week follow-up and at the 48-week follow-up than before treatment （P＜0.05）. The scores of white/dark complexion， white coating thin pulse， fatigue and total TCM symptom scores of children in both groups at the 12th， 24th， 36th and 48th weeks of follow-up were significantly lower than those before treatment （P＜0.05）； the scores of blurred vision at the 24th and 36th weeks of follow-up were significantly lower than those before treatment （P＜0.05）； and the scores of blurred vision in the treatment group at the 48th week of follow-up were signi-ficantly lower than those before treatment （P＜0.05）. In the treatment group， the score of fatigue was higher than that of the control group at the 36-week follow-up， and the score of blurred vision was lower than that of the control group at the 48-week follow-up （P＜0.05）. No adverse reactions or obvious abnormalities of the safety indexes were observed of the two groups during the treatment. ConclusionChinese herbal medicine Mingshi Granules showed the effect of controlling the progression of low myopia， improving the best naked eye distance visual acuity， slowing down the growth of the eye axis， improving some of the TCM symptoms， with good safety.

Objective To explore the effects of Buyang Huanwu Decoction on neuronal cell apoptosis after cerebral ischemia based on mediating Cav1 in regulating Wnt pathway.Methods Male wild-type(WT)and Cav1-/-(KO)C57BL/6 mice were randomly divided into sham-operation group,model group and Buyang Huanwu Decoction group(18.5 g/kg).Cerebral ischemia model was prepared using middle cerebral artery occlusion method,and drug intervention was given for 14 days.Neurobehavioral score was performed,HE staining was used to observe the morphology of ischemic cortical area of brain tissue,TUNEL staining was used to detect neuronal apoptosis in ischemic cortical area,immunohistochemistry was used to detect the expressions of apoptosis related proteins and Wnt1,glycogen synthase kinase 3β(GSK3β)and β-catenin protein in ischemic cortical area.Results Compared with the same genotype sham-operation group,the neurobehavioral score of the model group mice significantly increased,neuronal cells in the ischemic cortical area showed vacuolar changes,with nuclear condensation and widened intercellular spaces,the apoptosis rate of nerve cells significantly increased,with increased expressions of Bax,GSK3β and decreased expressions of Bcl-2,Wnt1 and β-catenin(P<0.01).Compared with the same genotype model group,the neurobehavioral score of mice in Buyang Huanwu Decoction group were significantly decreased,the pathological damage of the ischemic cortical area improved,the apoptosis rate of nerve cells decreased,the expressions of Bax and GSK3β decreased,and the expressions of Bcl-2,Wnt1 and β-catenin increased(P<0.01).Compared with the WT model group,the KO model group showed an increase in neurobehavioral score,aggravated damage in ischemic cortical area,significantly increased neuronal apoptosis rate,and increased expression of GSK3β(P<0.05).Compared with the WT Buyang Huanwu Decoction group,the KO Buyang Huanwu Decoction group showed an increase in neurobehavioral score,aggravated damage in ischemic cortical area,significantly increased neuronal apoptosis rate,increased expressions of Bax and GSK3β,and decreased expressions of Bcl-2,Wnt1 and β-catenin(P<0.01).Conclusion Buyang Huanwu Decoction can inhibit neuronal cell apoptosis after cerebral ischemia,and its mechanism may be related to regulating the expressions of apoptosis-related proteins by mediating Cav1 to regulate the Wnt signaling pathway.

Objective To explore the mechanism of Buyang Huanwu Decoction against cerebral ischemia-reperfusion injury in rats by regulating lipid metabolism through the cAMP/PKA/PPARγ pathway.Methods 60 rats were randomly divided into sham operation group(Sham),model group(Model),Buyang Huanwu Decoction low-dose group(BHD-L),Buyang Huanwu Decoction medium-dose group(BHD-M),Buyang Huanwu Decoction high-dose group(BHD-H)and Butylphthalide group(NBP).The cerebral ischemia-reperfusion model was prepared by transient middle cerebral artery embolization.The BHD low-,medium-and high-groups were given different doses of Buyang Huanwu Decoction(6.413,12.825,25.65 g·kg-1)by intragastric administration.The NBP group was administered with Butylphthalide(54 mg·kg-1).The sham operation group and the model group were administered with an equal volume of distilled water,all given for 14 days.The rats were subjected to neurobehavioral scoring.HE staining was used to observe brain pathological changes,and the kit was used to detect the levels of phosphocholine(PC),phosphatidylethanolamine(PE),diacylglycerol(DAG),and free fatty acid(FFA)on the ischemic side.RT-qPCR and Western Blot were applied to detect the mRNA and protein expressions of cyclic adenosine monophosphate(cAMP),protein kinase A(PKA),and peroxisome proliferator-activated receptor γ(PPARγ).Results Compared with the sham group,the neurological deficit score was significantly increased(P＜0.01),pathomorphological damage in ischemic cortex was found,the contents of PC and PE were reduced,the contents of DAG and FFA were increased(P＜0.01),and cAMP mRNA expression increased(P＜0.05)in the model group.Compared with the model group,the neurological deficit score of the BHD-L group was decreased(P＜0.05),and the neurological deficit score of the BHD-M,BHD-H and NBP groups was significantly decreased(P＜0.01),the cells in each treatment group were regularly arranged,the intercellular spaces were reduced,and the normal cells were increased.PC and PE were significantly increased,DAG and FFA were significantly decreased(P＜0.01)in the BHD-M,BHD-H and NBP groups.PC was increased,FFA and DAG were decreased in the BHD-L group(P＜0.05,P＜0.01).The mRNA level of PPARγ was increased in the BHD-L group(P＜0.05),and the mRNA and protein levels of cAMP,PKA,and PPARγ were increased in the other treatment groups(P＜0.05,P＜0.01).Conclusion Buyang Huanwu Decoction has a neuroprotective effect on cerebral ischemia-reperfusion injury rats,and its mechanism may be related to regulating the expression of key factors in the cAMP/PKA/PPARγ signaling pathway and lipid metabolism.

Objective To screen mitochondria-related genes in Crohn's disease (CD) based on the Gene Expression Omnibus (GEO) database, construct an artificial neural network diagnostic model and evaluate its performance. Methods The CD-related datasets GSE186582 and GSE102133 were downloaded from the GEO database for differential expression genes (DEGs) screening. The intersection of DEGs and mitochondrial genes from the MitoCarta 3.0 database was obtained. Least absolute shrinkage and selection operator regression and random forest algorithms were used to identify CD-specific genes and construct an artificial neural network diagnostic model. The model was further validated by the validation set GSE95095, and the diagnostic performance was evaluated by the area under the curve (AUC) of the receiver operating characteristic curve. The immune cell infiltration in CD was assessed by the CIBERSORT algorithm, and the relationship between biomarkers and infiltrated immune cells was investigated. Results A total of 551 DEGs were obtained, including 275 upregulated and 276 downregulated genes. There were 20 mitochondria-related genes associated with CD. A total of 9 mitochondria-related feature genes (SOD2, MTHFD2, BPHL, PXMP2, RMND1, AGXT2, MAOA, HMGCS2, MAOB) were screened by two machine learning algorithms. An artificial neural network diagnostic model was constructed by the selected feature genes. The values of AUC of the model in the training and validation groups were 0.956 and 0.736 respectively. Immune cell infiltration analysis showed that the feature genes were associated with resting memory CD4⁺ T cells, activated memory CD4⁺ T cells, activated dendritic cells, neutrophils, and CD8⁺ T cells. Conclusion The artificial neural network diagnostic model for CD based on 9 mitochondrial genes has good predictive performance.

Objective: To explore the relationship between fruit intake and the risk of overweight with obesity in children, so as to provide references for the prevention of childhood obesity. Methods: From September to November 2014, a stratified cluster sampling method was used to select 6 369 children aged 6-12 from two elementary schools of a country in rural Chongqing for physical examinations and questionnaire surveys, and 1 814 children in grades 1-2 at baseline were followed up from March to May 2019. The relationship between fruit intake and the prevalence of overweight and obesity was analyzed. Results: According to the percentile of fruit intake, the 6 369 children at baseline were assigned to three groups: Q 1 (< P 33.3 , fruit intake <100 g/d), Q 2 ( P 33.3 - P 66.7 , fruit intake:100-214.3 g/d), and Q 3 (> P 66.7 , fruit intake >214.3 g/d). For the baseline survey results, children in the Q 2 group had a lower weight and Body Mass Index (BMI) ( P <0.05); the prevalence of overweight and obesity among children in the Q 1 group was the highest (32.03%), and the prevalence of overweight and obesity among boys in the Q 2 group was the lowest (31.94%) after gender stratification ( P <0.05). The follow up survey results showed no significant differences between the three groups in terms of changes in height, weight, and BMI ( P >0.05); but the prevalence of obesity among youth in the Q 2 group was the lowest (5.07%, P <0.05). Compared with youth in the Q 2 group, the risk of obesity was higher among those in the Q 1 group at baseline survey ( OR=1.41, 95%CI=1.10-1.81, P <0.05), and was higher among those in the Q 3 group at follow up survey ( RR= 1.83, 95%CI=1.21-2.75, P <0.05). Conclusion Deviating from moderate fruit intake may increase the likelihood of overweight and obesity in children, and it is recommended that children are encouraged to consume fruits as part of a well balanced diet to prevent the occurrence of obesity.

Objective To investigate the differences in chemical components and bacterial diversity on the surface of Citrus reticulata at various drying temperatures(35、45、55、65℃).Methods At various drying temperatures,Citrus reticulata from Dahongpao produced in Chongqing Wanzhou was dried.By using HPLC,the effects of various drying temperatures on the hesperidin,hesperidin,and kaempferin concentrations in Citrus reticulata were examined.By using GC-MS,the effects of various drying temperatures on the Citrus reticulata volatile components were examined.The differences in bacterial population structure on the surface of Citrus reticulata at various drying temperatures were examined using high throughput sequencing.Results The higher the temperature,the quicker Citrus reticulata will dry.The amount of hesperidin and hesperidin in Citrus reticulata was not significantly affected by different drying temperatures.The amount of Citrus reticulata increased as the drying temperature rose.GC-MS analysis identified 15 main components in Citrus reticulata,and the proportion of some volatile aroma components decreased with the increase of drying temperature;Such as laurylene,linalool,carvol α-Orange aldehyde,etc.With the increase of drying temperature,the dominant bacteria of Proteobacteria has an upward trend.At the same time,the dominant bacteria of Halomonas and Porphyromonas have changed to Metallobacterium.Conclusion If the drying temperature is too high,the volatile components in the dried Citrus reticulata may be transformed or destroyed due to the instability of heating.The difference of the bacterial flora on the surface of Citrus reticulata at different drying temperatures may cause the change of the volatile components in the later aging process.Considering the quality of dried tangerine peel,low temperature and hot air drying is the better drying method.

Abnormally activated CDK9 participates in the super-enhancer mediated transcription of short-lived proteins required for cancer cell survival. Targeting CDK9 has shown potent anti-tumor activity in clinical trials among different cancers. However, the study and knowledge on drug resistance to CDK9 inhibitors are very limited. In this study, we established an AML cell line with acquired resistance to a highly selective CDK9 inhibitor BAY1251152. Through genomic sequencing, we identified in the kinase domain of CDK9 a mutation L156F, which is also a coding SNP in the CDK9 gene. By knocking in L156F into cancer cells using CRISPR/Cas9, we found that single CDK9 L156F could drive the resistance to CDK9 inhibitors, not only ATP competitive inhibitor but also PROTAC degrader. Mechanistically, CDK9 L156F disrupts the binding with inhibitors due to steric hindrance, further, the mutation affects the thermal stability and catalytic activity of CDK9 protein. To overcome the drug resistance mediated by the CDK9-L156F mutation, we discovered a compound, IHMT-CDK9-36 which showed potent inhibition activity both for CDK9 WT and L156F mutant. Together, we report a novel resistance mechanism for CDK9 inhibitors and provide a novel chemical scaffold for the future development of CDK9 inhibitors.