The auxin/indole-3-acetic acid (Aux/IAA) gene family is an important regulator for plant growth hormone signaling, involved in plant growth, development, as well as response to environmental stresses. In the present study, we identified SmIAA7 which is potentially associated with Salvia miltiorrhiza leaf development through comparatively analyzed the transcriptome data from different pinnate leaves. SmIAA7 was successfully isolated from S. miltiorrhiza using the specific primers. Then subsequent bioinformatic analysis, prokaryotic expression and purification, subcellular localization, and induction expression analysis under auxin and abiotic stress were performed. The full-length of SmIAA7 contained an ORF of 684 bp encoding a protein of 227 amino acid with a molecular weight of 25.3 kD. Conserved domain analysis showed that SmIAA7 contains the conserved Aux_IAA domain (pfam02309). Sequence analysis and phylogenetic tree analysis results indicated SmIAA7 was phylogenetically close to IAA7 and IAA14 from other plants, suggesting SmIAA7 involved in plant growth and development as well as response to environmental stresses. The prokaryotic expression vector pET28a-SmIAA7 was constructed and SmIAA7 recombinant protein was successfully expressed in E. coli Rosetta (DE3) strain. Subcellular localization experiment demonstrated that SmIAA7 localized in the nucleus of plant cells. Real-time fluorescence quantitative PCR results showed that the expression level of SmIAA7 was upregulated in response to auxin. Drought, low temperature, and salt stress significantly increased the transcript level of SmIAA7 gene. This study lays a foundation for further elucidating the role of SmIAA7 in leaf development, signal transduction, and stress defense in S. miltiorrhiza.

Objective To explore the feasibility of long non-coding RNAs (lncRNAs) as biomarkers for radiation-induced intestinal injury. Methods Mice were exposed to 15 Gy of ⁶⁰Co γ-rays to the abdominal area. The pathological changes in intestinal tissues were analyzed at 72 h post-irradiation to confirm the successful establishment of the radiation-induced intestinal injury model. Real-time quantitative PCR was conducted to detect the expression of candidate radiation-responsive lncRNAs in the jejunum, jejunal crypts, colon tissues, and plasma of irradiated mice. Human intestinal epithelial cell line HIEC-6 and human colon epithelial cell line NCM460 were exposed to 0, 5, 10, and 15 Gy of ⁶⁰Co γ-rays. The expression levels of candidate lncRNAs were measured at 4, 24, 48, and 72 h post-irradiation to observe their changes with the irradiation dose. Results Pathological analysis showed that abdominal irradiation with 15 Gy successfully established an acute radiation-induced intestinal injury mouse model. Real-time quantitative PCR showed that Dino, Lncpint, Meg3, Dnm3os, Trp53cor1, Pvt1, and Neat1 were significantly upregulated following the occurrence of radiation-induced intestinal injury (P < 0.05). Among them, Meg3 and Dnm3os in mouse plasma were significantly upregulated (P < 0.05), while Gas5 was significantly downregulated (P < 0.05). In HIEC-6 and NCM460 cells, the expression levels of DINO, MEG3, DNM3OS, and GAS5 showed dose-dependent patterns at certain time points (P < 0.05). Conclusion The lncRNAs encoded by MEG3, DNM3OS, and GAS5 in intestinal epithelial cells are responsive to ionizing radiation. Consistent differential expression changes were detected in mouse plasma and intestinal tissues, indicating their potential as biomarkers for radiation-induced intestinal injury.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective To establish the method for content determination of three lignans of Dendrobium Fimbriatum Hook..Methods The lignans in Dendrobium tasselii were identified by high-performance liquid chromatography/multi-stage mass spectrometry(HPLC-ESI/MSn)coupled with ultraviolet absorption spectrometry(UV)coupled with retention time localization of high-performance liquid chromatography(HPLC).The separation was carried out on a Kromasil 100-5 C18 column(4.6 mm×250 mm,5 μm)using a gradient elution of acetonitrile-0.1%formic acid solution as the mobile phase,the volume flow rate was 0.8 mL·min-1 and the column temperature was 35℃,and the mass spectrometry was performed using an ESI ion source with the data collected in the negative ion mode.The HPLC content was determined on the same column as that of MS analysis,with the mobile phase methanol + acetonitrile(V/V=1∶1)-0.01 mol/L ammonium acetate solution,gradient elution,flow rate of 0.8 mL·min-1,column temperature of 40℃,and detection wavelength of 215 nm.Results Syringaresinol di-O-glucoside and(-)-Syringaresinol 4-O-β-D-glucopyranoside and DL-Syringaresinol were identified from Dendrobium fimbriatum Hook.,and the results of content determination showed that the linear ranges of above three components were respectively 0.1701-3.4020,0.1020-2.0400,0.0403-0.8060 μg(r≥0.9995),the average recoveries were in the range of 97.71%-101.67%,and the relative standard deviations(RSDs)were all less than 3.0%.The contents of Syringaresinol di-O-glucoside and(-)-Syringaresinol 4-O-β-D-glucopyranoside and DL-Syringaresinol in the 10 batches of samples were 0.7779-1.3852,0.0734-0.1966,0.0295-0.1882 mg·g-1.Conclusion This research method can provide a reference basis for the quality evaluation method of Dendrobium fimbriatum Hook..

Objective To explore the operation effect of the improved full-appointment mode of ambulatory chemotherapy,so as to provide reference for further improving the treatment process.Methods The enhanced full-appointment mode had been implemented in Fudan University Shanghai Cancer Center outpatient information system,which seamlessly integrated daytime chemotherapy assessment with comprehensive information management,formulated precise rules for chemotherapy appointments,and ensured efficient integration of relevant data.A comparative analysis was conducted between the period after optimization(Jan to Sep 2022)and the corresponding period in the previous year(Jan to Sep 2021),considering factors such as patient waiting time,human involvement,patient safety during chemotherapy,as well as nurse and patient satisfaction.Results After optimization,the time spent by patients was reduced from 52.12(32.73-83.05)to 20.04(11.87-41.10)minutes,with statistically significant difference(z=-78.144,P＜0.001).Additionally,the time spent by patients before and after optimization was significantly different in the distribution of＜30 minutes,30-60 minutes,and＞60 minutes(χ2=5 958.455,P＜0.001).Previously,one nurse and 2-3 security personnel were required to schedule appointments in the daytime chemotherapy center,while after optimization,there was no longer a need for nurses to arrange appointment windows and the number of security personnel was reduced to one,thereby optimized human operations.It was observed that the number of cases involving chemotherapy infusion reactions decreased from 59 to 46 following optimization,and the number of patients requiring rescue observation reduced from four to one.Notably,no rescue events occurred during non-day shifts,thus enhanced patient safety during treatment hours outside regular working hours.Furthermore,there was a statistically significant improvement in both nurses'and patients'satisfaction levels before and after implementation of these optimizations(P＜0.05).Conclusion The modified full appointment mode reduced patient waiting time,optimized human resources utilization,enhanced patient safety during chemotherapy,and improved satisfaction levels among both nurses and patients.The implementation of the modified full appointment mode for daytime chemotherapy centers was beneficial to their overall operation.

BACKGROUND:Compared with traditional two-dimensional culture,three-dimensional microtissue culture can show greater advantages.However,more favorable cultivation methods in three-dimensional culture still need to be further explored. OBJECTIVE:To evaluate the cell behavior of microtissue and its ability to promote cartilage formation under two three-dimensional culture methods. METHODS:Cartilage-derived microcarriers were prepared by chemical decellularization and tissue crushing.DNA quantification and nuclear staining were used to verify the success of decellularization,and histological staining was used to observe the matrix retention before and after decellularization.The microcarriers were characterized by scanning electron microscopy and CCK-8 assay.Cartilage-derived microtissues were constructed by combining cartilage-derived microcarriers with human adipose mesenchymal stem cells through three-dimensional static culture and three-dimensional dynamic culture methods.The cell viability and chondrogenic ability of the two groups of microtissues were detected by scanning electron microscopy,live and dead staining,and RT-qPCR. RESULTS AND CONCLUSION:(1)Cartilage-derived microcarriers were successfully prepared.Compared with before decellularization,the DNA content significantly decreased after decellularization(P<0.001).Scanning electron microscope observation showed that the surface of the microcarrier was surrounded by collagen,maintaining the characteristics of the natural extracellular matrix of cartilage cells.CCK-8 assay indicated that microcarriers had no cytotoxicity and could promote cell proliferation.(2)Scanning electron microscopy and live and dead staining results showed that compared with the three-dimensional static group,the three-dimensional dynamic group had a more extended morphology of microtissue cells,and extensive connections between cells and cells,between cells and matrix,and between matrix.(3)The results of RT-qPCR showed that the expressions of SOX9,proteoglycan,and type Ⅱ collagen in microtissues of both groups were increased at 7 or 14 days.The relative expression levels of each gene in the three-dimensional dynamic group were significantly higher than those in the three-dimensional static group at 14 days(P<0.05).At 21 days,the three-dimensional static group had significantly higher gene expression compared with the three-diomensional dynamic group(P<0.001).(4)The results showed that compared with three-dimensional static culture microtissue,three-dimensional dynamic culture microtissue could achieve higher expression of chondrogen-related genes in a shorter time,showing better cell viability and chondrogenic ability.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To explore the correlation between grip strength promotion and improvement of body composition and metabolic disorders in health examination population of different genders.Methods:In this retrospective cohort study, clinical data of 600 people who received health examination and grip strength check-up two times or more in the Medical Examination Center of Peking University Third Hospital from January 2018 to November 2022 were selected. The general data, physical examination, biochemical parameters, body composition and grip strength results were collected. After the first physical examination, the grip strength test was conducted, appropriate resistance strength exercises were given based on individual evaluation results. A health lecture was held, and the information related to health exercise was pushed through WeChat official account every week. The grip strength test was completed at the same time at the second physical examination, and the difference between the two test results was calculated before and after the second physical examination. The generalized estimation equation was used to analyze the correlation between the improvement of grip strength and the improvement of body composition and metabolic disorders in different gender health-check population.Results:In man and women, the body mass index [(25.50±3.66) vs (25.33±3.74) kg/m 2, (22.41±3.55) vs (22.25±3.46) kg/m 2] and grip strength [(42.71±7.30) vs (41.77±7.36) kg, (25.28±5.30) vs (23.98±4.87) kg] at the second health check-up were all significantly higher than those at the first time, and the diastolic blood pressure [(72.79±10.30) vs (74.47±9.85) mmHg (1 mmHg=0.133 kPa), (66.93±8.90) vs (68.92±9.42) mmHg] and serum homocysteine [(17.96±14.09) vs (19.27±14.26) μmol/L, (9.47±3.91) vs (10.26±3.90) μmol/L] were all significantly lower than those at the first time (all P<0.05). Among man, the low-density lipoprotein cholesterol (LDL-C) at the second physical examination was significantly lower than that at the first time [(2.94±0.78) vs (3.00±0.69) mmol/L] (all P<0.05). Among women, the systolic blood pressure and uric acid at the second health check-up were both significantly lower than those at the first time [(109.34±12.85) vs (110.54±12.32) mmHg, (276.91±62.46) vs (287.16±68.78) μmol/L], and the waist-hip ratio was significant higher (85.8%±5.1% vs 85.4%±5.0%) (all P<0.05). In males, the decreased aspartate aminotransferase ( OR=0.932, 95% CI: 0.888-0.978) and the increased skeletal muscle index ( OR=75.370, 95% CI: 29.012-195.806) were both positively correlated with the elevation of grip strength (all P<0.05); and in females, the decreased homocysteine ( OR=0.876, 95% CI: 0.782-0.982) and glycosylated hemoglobin ( OR=0.423, 95% CI: 0.222-0.805) and increased skeletal muscle index ( OR=22.918, 95% CI: 11.114-47.256) were all positively correlated with the elevation of grip strength (all P<0.05). Conclusion:There is a positive correlation between the improvement of grip strength and the improvement trend of body composition and metabolic disorders in in health examination population of different genders.

AIM To study the neoflavonoids from Dalbergia cochinchinensis Pierre ex Laness and their anti-hypoxia/reoxygenation injury activities on H9c2 myocardial cells.METHODS The 70%ethanol extract from D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and reverse-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The CCK-8 method was used to detect their activities on H9c2 cells and protective effects on hypoxia-reoxygenation injury of H9c2 cells,and their structure-activity relationship was analyzed.RESULTS Twelve compounds were isolated and identified as latifolin(1),5-O-methyllatifolin(2),mimosifoliol(3),5-O-methydalbergiphenol(4),dalbergiphenol(5),cearoin(6),2,4-dihydroxy-5-methoxy-benzophenone(7),2-hydroxy-4,5-dimethoxybenzophenone(8),melannoin(9),2,2′,5-trihydroxy-4-methoxybenzophenone(10),dalbergin(11),4-methoxydalbergione(12).The dalbergiphenols and dalbergins had little toxicity to H9c2 cells,and dalbergiphenols had strong activity against hypoxia-reoxygenation injury of H9c2 cells.CONCLUSION Compound 8 is a new natural product.Compounds 4,9 are isolated from this plant for the first time.Dalbergiphenols may be the main neoflavonoids against hypoxia-reoxygenation injury of H9c2 cells.

Objective: To explore the correlation between Diabetes Complication Severity Index(DCSI), C-reactive protein/albumin ratio(CAR) and death in patients with diabetic foot ulcer(DFU) and to clarify their predictive value for all-cause death in DFU patients. Methods: Retrospectively analyzed the clinical data of 354 DFU patients who were treated in the Endocrinology Department of the First Affiliated Hospital of Anhui Medical University from July 2019 to December 2022. Based on survival status during follow-up, patients were divided into a survival group(n=268) and a death group(n=86). Univariate and multivariate Cox regression analyses were used to identify risk factors for all-cause death in DFU patients. Receiver operating characteristic(ROC) curves were plotted to evaluate the predictive value of DCSI, CAR, and their combination for all-cause death in DFU patients. Kaplan-Meier curves were used to explore the impact of different DCSI and CAR levels on survival in DFU patients. Results: Univariate Cox regression analysis showed that older age, history of hypertension, higher Wagner classification levels, and elevated levels of CRP, Scr, FDP, DCSI score, and CAR were associated with a higher risk of death in DFU patients(P<0.05). Higher levels of HGB, HCT, ALB, or eGFR were associated with a lower risk of death. Patients receiving combined insulin and oral hypoglycemic medication had a lower risk of death compared to those receiving only insulin therapy(P<0.05). Multivariate Cox regression analysis indicated that older age, higher levels of Scr, DCSI, and CAR were independent risk factors for all-cause death in DFU patients, while higher levels of ALB and combined insulin and oral hypoglycemic therapy were protective factors. ROC curve analysis showed that the AUC values for DCSI, CAR, and their combination were 0.652, 0.633, and 0.686, respectively. Kaplan-Meier curve analysis revealed that patients with high DCSI scores(≥4.5) had a lower survival rate compared to those with lower DCSI scores(<4.5). Similarly, patients with high CAR levels(≥0.124) had a lower survival rate compared to those with lower CAR levels(<0.124). Conclusion High levels of DCSI and CAR are independent risk factors for all-cause death in DFU patients. DCSI, CAR, and their combination have predictive value for all-cause mortality in DFU patients.