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.

Hyperuricemia (HUA) and gout became typical metabolic disorders characterized by multiple pathogenic factors. Their incidence increased annually, affecting younger populations. Given that uric acid (UA) and inflammation were the primary disease mechanisms, the search for effective and low-side-effect UA-lowering and anti-inflammatory drugs became a pressing scientific priority. Traditional Chinese medicine (TCM) encompassed a rich array of theoretical and practical experience, along with a diverse range of chemical substances, making herbs or their components potential sources for therapeutic drugs. Despite the significant role that modern herbal medicines played in treating HUA and gout, the existing research literature remained fragmented, lacking comprehensive and systematic reviews. In this review, we focused on the regulation of UA and summarized the discovery of UA-lowering pharmacodynamic components or ingredients derived from herbs and formulas, as well as their multi-targeted mechanisms of action. Emphasizing this focus, we proposed that, compared to acute inflammation, low-grade inflammation may play a relatively "unnoticed" role in the disease process. In contrast to Western medicine, we discussed the risks and benefits of herbal medicines and their ingredients for treatment, drawing from theoretical insights and clinical practice. This review offered comprehensive perspectives on the research into anti-HUA and gout treatments using herbal medicines and their natural products. Additionally, it provided a forward-looking view on natural product discovery, the exploration of therapeutic strategies, and new drug research in this field.

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 analyze dynamic contrast-enhanced MRI (DCE-MRI) radiomic features using machine learning algorithms, and to develop and validate a predictive model for HER-2 status in breast cancer. Methods The DCE-MRI images of 272 treatment-naive female patients with breast cancer between 2020 and 2022 were included in this study. Regions of interest (ROIs) were manually segmented using 3d-Slicer software, and radiomic features were extracted. All patients were randomly divided into training sets or validation sets at a ratio of 4∶1. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening on the training set, followed by the development of predictive models using six machine learning algorithms. Internal cross-validation was performed to compare the performance differences between the models. The best-performing model was selected, trained on the training set, and evaluated on the validation set. Evaluation metrics included area under the curve (AUC), sensitivity, specificity, precision, and recall rate. Results The clinical data of patients in the training set and validation set showed no significant differences. Five features were identified by the LASSO algorithm. With these features, six machine learning models were developed on the training set, and their predictive performance was internally cross-validated using the bagging method. XGBoost model had the highest mean AUC (0.696), followed by RF model (0.690); XGBoost model had the highest mean precision (0.756), followed by LR and RF models. Therefore, XGBoost was the optimal model. An HER-2 predictive model was built using the XGBoost algorithm on the training set and applied to the validation set. The AUC, precision, sensitivity, and specificity of the predictive model on the validation set were calculated, and ROC curves, precision-recall curves, calibration curves, and decision-making curves were plotted. Conclusion This study constructed and evaluated different DCE-MRI radiomics-based machine learning models for predicting HER-2 status in breast cancer. Among them, XGBoost algorithm performed the best and has the potential to become a new non-invasive method for preoperative prediction of HER-2 status, providing reliable evidence for personalized clinical diagnosis and treatment.

Hyperuricemia(HUA)and gout became typical metabolic disorders characterized by multiple pathogenic factors.Their incidence increased annually,affecting younger populations.Given that uric acid(UA)and inflammation were the primary disease mechanisms,the search for effective and low-side-effect UA-lowering and anti-inflammatory drugs became a pressing scientific priority.Traditional Chinese medi-cine(TCM)encompassed a rich array of theoretical and practical experience,along with a diverse range of chemical substances,making herbs or their components potential sources for therapeutic drugs.Despite the significant role that modern herbal medicines played in treating HUA and gout,the existing research literature remained fragmented,lacking comprehensive and systematic reviews.In this review,we focused on the regulation of UA and summarized the discovery of UA-lowering pharmacodynamic components or ingredients derived from herbs and formulas,as well as their multi-targeted mechanisms of action.Emphasizing this focus,we proposed that,compared to acute inflammation,low-grade inflammation may play a relatively"unnoticed"role in the disease process.In contrast to Western medicine,we discussed the risks and benefits of herbal medicines and their ingredients for treatment,drawing from theoretical insights and clinical practice.This review offered comprehensive perspectives on the research into anti-HUA and gout treatments using herbal medicines and their natural products.Additionally,it provided a forward-looking view on natural product discovery,the exploration of ther-apeutic strategies,and new drug research in this field.

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 re-agents 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.

Objective To analyze the pregnancy outcomes of combined B-Lynch suture and intrauterine packing with gauze versus combined B-Lynch suture and intrauterine balloon tamponade in the treatment of central placenta previa with abnormally adherent placenta.Methods A retrospective analysis was conducted on 48 patients with central type placenta previa combined with adhesive placental implantation at Nanfang Hospital of Southern Medical University from July 2021 to October 2023.Among them,23 patients were treated with B-Lynch suture combined with uterine gauze tamponade(study group),and 25 patients were treated with B-Lynch suture combined with uterine balloon tamponade(control group).The intraoperative bleeding volume,postpartum 24-hour bleeding volume,postoperative intervention surgery rate,postoperative ICU transfer rate,and hospitalization costs were compared between the two groups.Results There was no statistically significant difference in intraoperative bleed-ing between the two groups(P>0.05).Compared with the control group,the study group showed a decrease in 24-hour postpartum hemorrhage,red blood cell infusion,surgical time,and hospitalization costs;The postoperative hospitalization days are shorter(P<0.05).Three patients in the control group underwent uterine artery embolization intervention surgery,and one patient was transferred to the ICU.There was no statistically significant difference in the ICU transfer rate and postoperative intervention surgery rate between the two groups(P>0.05).There was no difference in Apgar scores between the two groups of newborns.After discharge,patients were followed up until 42 days postpartum,and the results showed that all patients had no late postpartum hemorrhage,no poor healing of uterine incisions,no complications such as bladder ureteral injury and intestinal obstruction.Conclusion Combined B-Lynch suture and intrauterine gauze packing is a simple,feasible,safe,and reliable hemostatic method.It is suitable for primary healthcare institutions and worthy of promotion.

Objective To elucidate the prediction ability of monocyte monolayer assay(MMA)used in hemolytic dis-ease of fetus and newborn(HDFN)caused by IgG anti-M.Methods Plasma from eight pregnant women containing IgG an-ti-M were collected,and were divided into two groups(4 cases with HDFN,with severe clinical symptoms such as fetal hy-drops,and 4 cases without HDFN)according to the clinical outcomes.M antigen positive cells were sensitized with dithioth-reitol(DTT)treated plasma from eight pregnant women respectively.MMA was performed by coincubation with monocytes and sensitized M cells,along with negative and positive control set up.T-test was conducted to compare the difference in phagocytic efficiency between two groups.Results The phagocytic efficiency in group with HDFN were 15.37%,13.05%,9.17%and 24.50%respectively,with the mean value of 15.52%,while the group without HDFN were 8.74%,11.07%,5.12%and 6.23%respectively,with the mean value of 7.79%.There was no significant difference in phagocytic efficiency between two groups(P>0.05).The mean values of both groups were not significantly different from the negative control(P>0.05),but both were significantly lower than positive control(P<0.05).Conclusion The low phagocytic efficiency couldn't convince that the MMA is an effective predictor for the HDFN caused by IgG anti-M,indicating that another mech-anism might be responsible for it rather than monocyte phagocytosis.The assessment of the peak systolic velocity in middle cerebral artery of the fetal should be considered in the management for pregnant women who produce IgG anti-M to estimate the situation of fetal anemia.

Objective:To explore the application of an automatic slide-dropping instrument in bone marrow chromosomal karyotyping.Methods:The effects of manual and automatic dropping methods under different environmental humidity were retrospectively analyzed, and the repeatability of the automatic dropping method was analyzed.Results:No statistical difference was found between the results of automatic and manual dropping methods under the optimum ambient humidity and high humidity ( P>0.05). At low humidity, there was a statistical difference between the two methods ( P<0.05). With regard to the repeatability, the coefficient of variations of the automatic dropping method for the number of split phases, the rate of good dispersion and the rate of overlap were all lower than those of the manual dropping method. A statistical difference was also found in the number of split phases ( P<0.05) but not in the discrete excellent rate and overlapping rate between the two methods ( P>0.05). Conclusion:Better effect can be obtained by the automatic dropping instrument. It is suggested to gradually replace manual work with machine.

Objective To investigate the function and clinical significance of nuclear matrix binding region binding protein 1(SATB1)and epidermal growth factor receptor(EGFR)in gastric cancer.Methods The expression of SATB1 and EGFR was detected by immunohistochemistry in 60 cases of paraffin-embedded gastric cancer and 39 cases of gastric mucosal inflammation.Small interfering RNA(siRNA)was transfected into gastric cancer cells.The expression of SATB1 and EGFR after transfection was detected by real-time fluorescence quantitative reverse transcription polymerase chain reaction(RT-qPCR)and Western blot.The cell migration and invasion changes of MGC803 after transfection were detected by cell scratch test and Transwell test.The prognosis of gastric cancer pa-tients with different SATB1 and EGFR expression was analyzed by KM survival analysis.Results The expression of SATB1 and EGFR in gastric cancer tissues was higher than that in gastric mucosa inflammation tissues,and the difference was statistically significant(P＜0.05).The expression of SATB1 was correlated with lymph node metas-tasis and distant metastasis of gastric cancer,and the difference was statistically significant(P＜0.05).EGFR ex-pression was also associated with distant metastasis,and the difference was statistically significant(P＜0.05).There was a positive correlation between the expression of SATB1 and EGFR in gastric cancer tissues(r=0.49,P＜0.05).RT-qPCR and Western blot showed that siRNA could effectively knock down the expression of SATB1 and EGFR in gastric cancer cells.The results of cell scratch and Transwell experiments showed that the migration and invasion of gastric cancer cells were inhibited by knocking down SATB1 and EGFR.The results of KM survival curve showed that gastric cancer patients with low expression of SATB1 had a better prognosis,while those with low expression of EGFR had a better prognosis.Conclusion The expression levels of SATB1 and EGFR are closely re-lated to lymph node metastasis and distant metastasis of gastric cancer,and decreasing the expression levels of SATB1 and EGFR can inhibit the migration and invasion of gastric cancer.