OBJECTIVE To establish a multi-index quantitative detection method， and to evaluate the quality difference of Gleditsia sinensis from different producing areas. METHODS The contents of protocatechuic acid， vanillic acid， isoscopoletin， scoparone， isovitexin， fustin， taxifolin， fisetin， quercetin， kaempferol， echinocystic acid， betulinic acid， β -sitosterol and stigmasterol were detected by high performance liquid chromatography-quantitative analysis of multi-components by single marker （HPLC-QAMS）. The chromatographic column was Kromasil C18， the mobile phase was 0.2% phosphoric acid-acetonitrile solution （gradient elution）， the detection wavelengths were 254， 360， 210 nm for different index components， the column temperature was 30 ℃ ， the flow rate was 1.0 mL/min， and the sample injection volume was 10 μL. The contents of extract and total ash were detected according to the method of Chinese Pharmacopoeia. The quality differences of 30 batches of G. sinensis （No. S1-S30） from different producing areas were evaluated by chemometrics， weighted technique for order preference by similarity to an ideal solution （TOPSIS） analysis and Logistic regression model. RESULTS The linear ranges of 14 components were 1.55-77.50， 0.71- 35.50， 0.28-14.00， 0.96-48.00， 1.77-88.50， 0.09-4.50， 4.65-232.50， 1.49-74.50， 0.37-18.50， 1.18-59.00， 7.35-367.50， 3.58- 179.00， 0.49-24.50 and 0.21-10.50 μg/mL， respectively （all r＞0.999）. The RSDs of precision， stability （24 h） and repeatability were less than 2.00%； the average recoveries were 96.99%-100.13% （all RSDs＜2.00%）， and the relative correction factor had good repeatability. The contents of extract and total ash were Δ 基金项目 湖北省中医药科研立项青年人才项目 （No. 4.2%-12.5% and 0.5%-2.3%， respectively. There was no ZY2019Q014） significant difference in the content of 14 components measured by QAMS method and external standard method （P＞0.05）. The results of chemometrics showed that 30 batches of samples were clustered into 3 categories： S1 to S11 form one category， S12 to S20 form another category， and S21 to S30 constitute the third category. Echinocystic acid， betulinic acid， taxifolin， kaempferol， isovitexin， scoparone and protocatechuic acid may be the differential components affecting the quality of G. sinensis from different producing areas. The analysis results of the weighted TOPSIS method revealed that relative closeness （Jb） for 30 batches of G. sinensis ranged from 0.144 5 to 0.721 8， with S27 achieving the highest value （Jb） of 0.721 8. The analysis results of the Logistic regression model showed that S21-S30 batches of samples were of superior grade， S1-S11 were of intermediate grade， and S12-S20 were of inferior grade. CONCLUSIONS The established HPLC-QAMS method is simple and accurate. The comprehensive evaluation method is objective and comprehensive， and can be used to evaluate the quality difference of G. sinensis from different producing areas.

ObjectiveTo investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and to establish a predictive model. MethodsA total of 217 patients who were diagnosed with decompensated hepatitis C cirrhosis and were admitted to The Third People’s Hospital of Kunming l from January， 2019 to December， 2022 were enrolled， among whom 63 patients who were readmitted within at least 1 year and had no portal hypertension-related complications were enrolled as recompensation group， and 154 patients without recompensation were enrolled as control group. Related clinical data were collected， and univariate and multivariate analyses were performed for the factors that may affect the occurrence of recompensation. The independent-samples t test was used for comparison of normally distributed measurement data between two groups， and the Mann-Whitney U test was used for comparison of non-normally distributed measurement data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between two groups. A binary Logistic regression analysis was used to investigate the influencing factors for recompensation in patients with decompensated hepatitis C cirrhosis， and the receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model. ResultsAmong the 217 patients with decompensated hepatitis C cirrhosis， 63 （29.03%） had recompensation. There were significant differences between the recompensation group and the control group in HIV history （χ²=4.566， P=0.034）， history of partial splenic embolism （χ²=6.687， P=0.014）， Child-Pugh classification （χ²=11.978， P=0.003）， grade of ascites （χ²=14.229， P<0.001）， albumin （t=4.063， P<0.001）， prealbumin （Z=-3.077， P=0.002）， high-density lipoprotein （t=2.854， P=0.011）， high-sensitivity C-reactive protein （Z=-2.447， P=0.014）， prothrombin time （Z=-2.441， P=0.015）， carcinoembryonic antigen （Z=-2.113， P=0.035）， alpha-fetoprotein （AFP） （Z=-2.063， P=0.039）， CA125 （Z=-2.270， P=0.023）， TT3 （Z=-3.304， P<0.001）， TT4 （Z=-2.221， P=0.026）， CD45⁺ （Z=-2.278， P=0.023）， interleukin-5 （Z=-2.845， P=0.004）， tumor necrosis factor-α （Z=-2.176， P=0.030）， and portal vein width （Z=-5.283， P=0.005）. The multivariate analysis showed that history of partial splenic embolism （odds ratio ［OR］=3.064， P=0.049）， HIV history （OR=0.195， P=0.027）， a small amount of ascites （OR=3.390， P=0.017）， AFP （OR=1.003， P=0.004）， and portal vein width （OR=0.600， P<0.001） were independent influencing factors for the occurrence of recompensation in patients with decompensated hepatitis C cirrhosis. The ROC curve analysis showed that HIV history， grade of ascites， history of partial splenic embolism， AFP， portal vein width， and the combined predictive model of these indices had an area under the ROC curve of 0.556， 0.641， 0.560， 0.589， 0.745， and 0.817， respectively. ConclusionFor patients with decompensated hepatitis C cirrhosis， those with a history of partial splenic embolism， a small amount of ascites， and an increase in AFP level are more likely to experience recompensation， while those with a history of HIV and an increase in portal vein width are less likely to experience recompensation.

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease (CKD). However, existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes. This study presents a smartphone-integrated handheld automated biochemical analyzer (sHABA) designed for point-of-care testing of urinary albumin. The sHABA features a pre-loaded, disposable reagent cassette with reagents for the albumin assay arranged in the order of their addition within a hose. The smartphone-integrated analyzer can drive the reagents following a preset program, to enable automatic sequential addition. The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L. The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity (95.78%) and specificity (90.16%). This research advances the field by providing an automated detection method for albumin in a portable device, allowing even untrained individuals to monitor CKD in real time at the patient's bedside. In the context of promoting tiered diagnosis and treatment, the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.

Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective To simultaneously determine of shikimic acid,catechin,quercetin,kaempferol,isorhamnetin,3'-hydroxypuerarin,puerarin,3'-methoxypuerarin,daidzin and genistein in Songling Xuemaikang Capsules by quantitative analysis of multi-components by single-marker(QAMS),and to establish fusion model of weighted technique for order preference by similarity to an ideal solution(TOPSIS)and grey relational analysis(GRA)for evaluating the quality of 15 batches of samples.Methods HPLC method was used to calculate the relative correction factor and content of each component,using kaempferol as internal reference.The feasibility of QAMS method was verified by comparing with the measured value of external standard method.The content results were analyzed by chemometrics to explore the quality difference markers of Songling Xuemaikang Capsules.Taking the VIP value of each component as the weight,we performed differential analysis on sample quality through fusion model of weighted TOPSIS and GRA.Results There was no significant difference between the results of QAMS and external standard method.The 15 batches of samples were clustered into three categories.Puerarin,3'-hydroxypuerarin,quercetin,3'-methoxypuerarin and shikimic acid were the quality difference markers of Songling Xuemaikang Capsules.The results of fusion model of weighted TOPSIS and GRA showed that there were some quality differences in Songling Xuemaikang Capsules produced at different times.Conclusion The hybrid model combining QAMS,weighted TOPSIS and GRA can be used for the comprehensive evaluation of the quality of Songling Xuemaikang Capsules.

Objective To establish the HPLC fingerprint of Chuanxiong Chatiao San(CXCTS)and Chuanxiong Chatiao Granules(CXCTG),and to compare their quality difference by using HPLC fingerprint in combination with anti-platelet aggregation activity in vitro.This study explores the material basis of anti-platelet aggregation activity of CXCTS and CXCTG to provide a reference for the quality control and clinical application.Methods HPLC fingerprint for 20 batches of CXCTS and seven batches of CXCTG were established,and systematic clustering analysis was conducted using SPSS 27.00 statistical software.In addition,the in vitro anti-platelet aggregation activity was determined.The relationship between HPLC fingerprint spectrums and anti-platelet aggregation activity was analyzed by using SIMCA P-14.0 statistical software for partial least squares analysis(PLS).The markers of quality difference of CXCTS and CXCTG were screened.Results A total of 26 common peaks in the fingerprint and 16 components were identified.Systematic clustering analysis showed that CXCTS and CXCTG were clustered into two categories.There were significantly differences in HPLC fingerprint and anti-platelet aggregation activity between CXCTS and CXCTG.Combining correlation coefficient and VIP value,we confirmed 17 common peaks,which showed positive correlation with anti-platelet aggregation activity and the VIP values were greater than one.The effective fractions of anti-platelet aggregation activity were screened out.Among the above-mentioned fractions,hesperidin,rosmarinic acid,buddleoside,pulegone,coniferyl ferulate,(Z)-ligustilide,notopterol,imperatorin,isoimperatorin,peak 7,9,12,14,6,17,19,and 23 were picked out as the quality difference markers.Conclusion HPLC fingerprint spectrum of CXCTS and CXCTG was established in this study.The established method can detect multiple active components in both formulations.There was significant difference between CXCTS and CXCTG on the content of active ingredients and anti-platelet aggregation activity.The former is of higher quality than the latter.This study can provide reference for the quality control and clinical application of CXCTS and CXCTG.

Objective:To explore the standardized performance of a FISH probe before clinical detection.Methods:The probe sensitivity and specificity of ETV6/RUNX1 were analyzed via interphase and metaphase FISH in 20 discarded healthy bone marrow samples. The threshold system of the probe was established using an inverse beta distribution, and an interpretation standard was established. Finally, a parallel-controlled polymerase chain reaction detection study was conducted on 286 bone marrow samples from patients at our hospital. The clinical sensitivity, specificity, and diagnostic coincidence rate of ETV6/RUNX1 FISH detection were analyzed, and the diagnostic consistency of the two methods was analyzed by the kappa test.Results:The probe sensitivity and specificity of the ETV6/RUNX1 probe were 98.47% and 100%, respectively. When 50, 100, and 200 cells were counted, the typical positive signal pattern cutoffs were 5.81%, 2.95%, and 1.49%, respectively, and the atypical positive signal pattern cutoffs were 13.98%, 9.75%, and 6.26%, respectively. The clinical sensitivity of FISH was 96.1%, clinical specificity was 99.6%, diagnostic coincidence rate was 99.00%, diagnostic consistency test kappa value was 0.964, and P value was <0.001.Conclusion:For FISH probes without a national medical device registration certificate, standardized performance verification and methodology performance verification can be performed using laboratory developed test verification standards to ensure a reliable and accurate reference basis for clinical diagnosis and treatment.

Objective:To analyze the clinical characteristics and prognosis of patients with myelodysplastic syndrome (MDS) with a bone marrow nucleated erythroid cell proportion of greater than or equal to 50% (MDS-E) .Methods:The clinical characteristics and prognostic factors of patients with MDS-E were retrospectively analyzed by collecting the case data of 1 436 newly treated patients with MDS diagnosed in the Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences from May 2014 to June 2023.Results:A total of 1 436 newly diagnosed patients with complete data were included in the study, of which 337 (23.5%) patients with MDS-E had a younger age of onset and lower neutrophil and platelet counts compared with those in patients with an erythroid cell proportion of less than 50% (MDS-NE) (all P<0.05). The proportion of MDS cases with ring sideroblasts (MDS-RS) was higher in the MDS-E group than in the MDS-NE group, and multi-hit TP53 mutations were more enriched in the MDS-E group than in the MDS-NE group (all P<0.05). Among patients with MDS-RS, the frequency of complex karyotypes and the TP53 mutation rate were significantly lower in the MDS-E group than in the MDS-NE group (0 vs 11.9%, P=0.048 and 2.4% vs 15.1%, P=0.053, respectively). Among patients with TP53 mutations, the frequencies of complex karyotypes and multi-hit TP53 mutations were significantly higher in the MDS-E group than in the MDS-NE group (87.5% vs 64.6%, P=0.003 and 84.0% vs 54.2%, P<0.001, respectively). Survival analysis of patients with MDS-RS found that the overall survival (OS) in the MDS-E group was better than that in the MDS-NE group [not reached vs 63 (95% CI 53.3-72.7) months, P=0.029]. Among patients with TP53 mutations and excess blasts, the OS in the MDS-E group was worse than that in the MDS-NE group [6 (95% CI 2.2-9.8) months vs 12 (95% CI 8.9-15.1) months, P=0.022]. Multivariate analysis showed that age of ≥65 years ( HR=2.47, 95% CI 1.43-4.26, P=0.001), mean corpuscular volume (MCV) of ≤100 fl ( HR=2.62, 95% CI 1.54-4.47, P<0.001), and TP53 mutation ( HR=2.31, 95% CI 1.29-4.12, P=0.005) were poor prognostic factors independent of the Revised International Prognostic Scoring System (IPSS-R) prognosis stratification in patients with MDS-E. Conclusion:Among patients with MDS-RS, MDS-E was strongly associated with a lower proportion of complex karyotypes and TP53 mutations, and the OS in the MDS-E group was longer than that in the MDS-NE group. Among patients with TP53 mutations, MDS-E was strongly associated with complex karyotypes and multi-hit TP53 mutations, and among TP53-mutated patients with excess blasts, the OS in the MDS-E group was shorter than that in the MDS-NE group. Age of ≥65 years, MCV of ≤100 fl, and TP53 mutation were independent adverse prognostic factors affecting OS in patients with MDS-E.

Objective:To investigate the changes of blood glucose and blood lipid in gestational diabetes mellitus (GDM) patients with different insulin sensitivity during pregnancy and the effect of non-drug intervention.Methods:Data of 240 pregnant women with GDM and 240 healthy pregnant women were collected from July 1 to September 1, 2023 in Shijing People′s Hospital in Baiyun District and other five hospital. The insulin sensitivity index (ISI) was calculated by homeostasis model assessment 2(HOMA2) model, according to the 25th percentile of ISI of normal pregnant women, GDM patients were divided into insulin sensitive group (group A) and insulin sensitive deficiency group (group B), and group A and group B were divided into two groups according to 36-week blood glucose control: group A1 with good blood glucose control (group A1 and group B1) and group A2 with bad blood glucose control (group A2 and group B2). The age, body mass index (BMI) before pregnancy, fasting plasma glucose (FPG), blood lipids and blood glycated hemoglobin (HbA 1c ) in the first trimester, blood glucose and blood lipids in the second trimester were compared at the 28th, 32nd and 36th weeks of gestation, the number of cases, blood glucose, blood lipids and non-drug intervention were measured. Results:There were 166 cases in group A and 74 cases in group B. Blood glucose and blood lipid were normal in early pregnancy. There was no significant difference in blood glucose between group A and group B during the second trimester. The levels of blood lipids were significantly higher than those during the first trimester, and the levels of triglyceride (TG) and low-density lipoprotein cholesterol (LDL-C) were significantly higher than those during the first trimester. The number of pregnant women in group A1 was significantly more than that in group A2 in the third trimester ( P = 0.01), and the number of pregnant women in group B1 was more than that in group B2 at 28 weeks ( P = 0.01). At 32 weeks, the number of pregnant women in group B1 and group B2 was similar ( P = 0.31). At 36 weeks, the number of pregnant women in group B1 was significantly lower than that in group B2 ( P = 0.01). In the third trimester of pregnancy, the levels of blood glucose in group B2 were higher than those in group A2 ( P<0.05). The levels of TG and LDL-C in group A2 and group B2 were higher than those in group A1 and group B1 respectively, high-density lipoprotein cholesterol (HDL-C) was lower than that in group A1 and group B1( P<0.05), and there was no significant difference in TC between group A2 and group A1 at 28 and 32 weeks ( P>0.05), but it was significantly higher at 36 weeks ( P = 0.01). In the third trimester of pregnancy, diet control was the most common (91.7%, 87.7%, 81.6%, respectively) in group A ( P>0.05). The proportions of diet-only and diet-plus exercise interventions were similar in group B1 at 28 weeks and 32 weeks (52.9% vs. 47.1%, 45.7% vs. 54.3%)( P = 0.072, 0.113). At the 36 weeks, the main intervention was diet combined with exercise (73.3%). In group B2, dietary intervention (69.6%, 71.8%, 69.5%) was the main cause of poor control of blood glucose. Conclusions:In GDM patients with insulin sensitivity deficiency, the blood glucose and blood lipids in the second trimester are obviously increased, and the abnormality in the third trimester is even greater.