ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Purpose To explore the clinical value of quantitative assessment of renal perfusion using ultrasound contrast imaging for the auxiliary diagnosis of type 2 diabetic nephropathy.Materials and Methods This prospective study was conducted from May 2017 to December 2019 at the First Medical Center of Chinese PLA General Hospital.A total of 41 patients with type 2 diabetes and renal function abnormalities,who were scheduled for renal biopsy,underwent contrast-enhanced ultrasound.Differences in contrast imaging parameters,including time to peak in the renal cortex,peak enhancement,mean transit time local,and area under the curve between diabetic nephropathy and focal segmental glomerulosclerosis were compared,and the correlation between imaging parameters and pathological results was analyzed.Results Among 41 patients,30 cases were diagnosed as diabetic nephropathy,and 11 cases were diagnosed as focal segmental glomerulosclerosis.The peak enhancement and area under the curve in the diabetic nephropathy group were significantly lower than those in the focal segmental glomerulosclerosis group[peak enhancement:3 837.16(2 449.16,5 929.16)vs.8 508.00(4 334.88,21 201.00),Z=-2.766,P=0.006;area under the curve:0.14±0.05 vs.0.19±0.05,t=-3.135,P=0.003].In the diabetic nephropathy group,peak enhancement showed a negative correlation with the global glomerulosclerosis rate(r=-0.489,P=0.006).Conclusion Contrast-enhanced ultrasound can quantitatively evaluate renal perfusion and has certain clinical value in assisting the diagnosis of type 2 diabetic nephropathy.

This article reviews relevant literature on the prevention and treatment of cancer with hesperidin published in the past 10 years by searching electronic databases such as China National Knowledge Infrastructure（CNKI）， Wanfang， and PubMed， and summarizes the research progress on the anticancer mechanism of hesperidin. Hesperidin has a wide range of pharmacological effects， including anti-inflammatory， antioxidant， antibacterial， antiviral， anticancer， immune-regulatory， anti-radiation， neuroprotective and cardiovascular protective properties and so on. Its anticancer mechanisms mainly include inhibiting cancer cell proliferation， promoting apoptosis， reducing angiogenesis， inhibiting invasion and migration of cancer cells， regulating immunity and autophagy， and exerting antioxidant and anti-inflammatory effects. As a broad-spectrum anticancer drug， hesperidin manifests chemo-preventive and therapeutic effects across various cancers， contingent upon its multifaceted anticancer mechanisms. Furthermore， this article summarizes the synergistic effects of hesperidin in combination with cisplatin， doxorubicin， cyclophosphamide and paclitaxel. It elucidates that hesperidin can enhance the cytotoxicity of these anticancer drugs against cancer cells while mitigating drug resistance and adverse side effects. Nonetheless， the clinical use is somewhat constrained due to its poor water solubility and limited bioavailability. Therefore， this article also outlines the current strategies for enhancing hesperidin's bioavailability， including structural modification， combination with other chemical substances， and utilization of nano drug carriers.The discovery of derivatives of hesperidin not only preserves the anticancer efficacy of hesperidin, but also effectively overcomes the shortcomings of poor water solubility and low bioavailability of hesperidin, effectively predicting the good application prospects of hesperidin and its derivatives.

Objective To investigate the effects of platelet-rich plasma-derived exosomes(PRP-Exos)on the proliferation and migration of tendon stem/progenitor cell(TSPC).Methods PRP-Exos were extracted through the combination of polymer-based precipitation and ultracentrifugation.The morphology,concentration,and particle size of PRP-Exos were identified by transmission electron microscopy and nanoparticle tracking analysis.The expression levels of surface marker proteins on PRP-Exos and platelet membrane glycoproteins were deter-mined by Western blot analysis.Rat TSPC was extracted and cultured,and the expression of surface marker mol-ecules on TSPC was detected using flow cytometry and immunofluorescence staining.The proliferation of TSPC in-fluenced by PRP-Exos was evaluated using CCK-8 assay and EdU assay.The effect of PRP-Exos on the migration of TSPC was evaluated by cell scratch assay and Transwell assay.Results The extracted PRP-Exos exhibit typi-cal saucer-like structures,with a concentration of 4.9 ×1011 particles/mL,an average particle size of(132.2±56.8)nm,and surface expression of CD9,CD63 and CD41.The extracted TSPC expressed the CD44 pro-tein.PRP-Exos can be taken up by TSPC,and after co-cultured for 48 h,concentrations of 50 and 100 μg/mL of PRP-Exos significantly promoted the proliferation of TSPC(both P＜0.001),with no statistical difference be-tween the two concentrations(P=0.283).Additionally,after co-cultured for 24 h,50 μg/mL of PRP-Exos significantly promoted the migration of TSPC(P＜0.001).Conclusion Under in vitro culture conditions,PRP-Exos significantly promote the proliferation and migration of rat TSPC.

Purpose To predict the 2015 American thyroid association(ATA)recurrence risk stratification based on ultrasonographic features and Hashimoto's thyroiditis(HT)-specific antibody status of papillary thyroid carcinoma(PTC)in the context of HT.Materials and Methods A retrospective analysis was conducted on the ultrasonographic and clinical data of 479 patients with coexisting PTC and HT,who underwent their first thyroid surgery at the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2019.All patients were divided in chronological order into a training group(n=327)and a validation group(n=152).Multivariate Logistic regression analysis was utilized to identify independent factors associated with high recurrence risk stratification according to the ATA guidelines.Predictive models were constructed and screened,and the efficacy of these models was evaluated using the area under the curve,calibration curves and Brier scores.Results Multivariate Logistic regression analysis identified the following as independent predictive factors for high recurrence risk stratification:multifocal malignancy of nodules(OR=3.812,95％CI 1.275-11.397,P=0.017),nodule contact with the capsule(OR=8.012,95％CI 1.647-38.972,P=0.010),microcalcifications(OR=4.220,95％CI 1.302-13.678,P=0.016),an aspect ratio＞1(OR=4.017,95％CI 1.286-12.548,P=0.017),abundant nodule vascularity(OR=6.120,95％CI 2.225-16.832,P＜0.001),maximum nodule diameter ≥1 cm(OR=4.784,95％CI 1.360-16.833,P=0.015),a glandular echo characteristic of typical HT(OR=0.114,95％CI 0.039-0.330,P＜0.001),and anti-thyroid peroxidase antibody monopositivity(OR=0.088,95％CI 0.006-1.299,P=0.077).The predictive model demonstrated strong performance,as evidenced by the area under the curve of 0.942(95％CI 0.911-0.972)in the training set and 0.933(95％CI 0.878-0.990)in the validation set.Both groups exhibited well-fitting calibration curves.The Brier scores were 0.054 and 0.058 for the training and validation sets,respectively,indicating excellent predictive efficacy of the model.Conclusion The preoperative prediction model,based on ultrasonographic features combined with antibody status,demonstrates good efficacy in assessing ATA recurrence risk stratification for coexisting PTC and HT patients,which can assist clinicians in formulating treatment plans.

Objective:To carry out genetic analysis on two families with carriers of small terminal translocations using karyotyping analysis and genomic copy number variation sequencing (CNV-seq).Methods:Two couples undergoing prenatal diagnosis at the Tianjin Central Hospital of Obstetrics and Gynecology respectively on April 12, 2020 and December 17, 2021 were selected as the study subjects. With informed consent, amniotic fluid and peripheral blood samples were collected and subjected to conventional karyotyping and CNV-seq analysis for the detection of chromosomal microdeletion/duplications.Results:Both couples had given births to children with chromosomal aberrations previously, and both fetuses were found to have abnormal karyotypes. CNV-seq showed that they had harbored microdeletion/duplications, and their mothers had both carried balanced translocations involving terminal fragments of chromosomes.Conclusion:For fetuses with small chromosomal segmental abnormalities, their parental origin should be traced, and the diagnosis should be confirmed with combined genetic techniques.

Objective:To investigate the effect of long non-coding RNA (lncRNA) H19 regulating miRNA-675 (miR-675) and phosphatase and tensin homologue-deleted chromosome ten gene (PTEN) on the cell proliferation of glioma.Methods:Glioma cell lines U87-MG and U251 were chosen. The siRNA online design tool wad used to design small interfering RNA (siRNA) targeting H19. U87-MG and U251 cell lines with the stable knockdown of H19 were constructed (the stable knockdown of H19 group), and the cells randomly transfected with siRNA plasmid were taken as the control group, and normal cultured cells were treated as the blank group. Additionally, miR-675 and control microRNA were transfected into U87-MG and U251 with the stable knockdown of H19 (the overexpressing miR-675 group and the corresponding control group). Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect the relative expression levels of miR-675 and H19 in each group; the methyl thiazolyl tetrazolium (MTT) assay was used to detect the cell proliferation ability; the dual luciferase reporter gene assay was used to verify the targeting relationship between miR-675 and PTEN; Western blot was used to detect the relative expression level of PTEN protein.Results:The MTT assay results showed that the proliferation ability of U87-MG and U251 cells in the stable knockdown of H19 group was lower than that of the corresponding control group; and the differences in cell proliferation ability of all the groups after 48 h of culture were statistically significant (all P < 0.05). qRT-PCR detection results showed that the relative expression level of miR-675 in U251 cells in the stable knockdown of H19 group and the corresponding control group was 0.329±0.009 and 1.043±0.087, respectively, and the difference was statistically significant ( t = 14.15, P < 0.001); the relative expression level of miR-675 in U87-MG cells in the stable knockdown of H19 group and the corresponding control group was 0.299±0.009 and 1.027±0.106, respectively, and the difference was statistically significant ( t = 11.85, P < 0.001); the relative expression level of miR-675 in U87-MG and U251 cells in the stable knockdown of H19 group was lower than that of the corresponding control group. The dual luciferase reporter gene assay verified that miR-675 could bind to the 3'-UTR of PTEN. Western blot detection results showed that the relative expression level of PTEN protein in U87-MG and U251 cells in the stable knockdown of H19 group was higher than that of the corresponding control group and the blank group; in the U87-MG and U251 cells in the stable knockdown of H19 group, the relative expression level of PTEN in the overexpressing miR-675 group was lower than that of the corresponding blank group and the control group. In the U87-MG and U251 cells in the stable knockdown of H19 group, the cell proliferation ability of the overexpressing miR-675 group was higher than that of the corresponding blank group and the control group; the differences in cell proliferation ability of all the groups after 48 h of culture were statistically significant (all P < 0.05). Conclusions:lncRNA H19 may regulate the cell proliferation of glioma cells through the miR-675-PTEN signaling pathway.

Objective:To explore the efficacy of breaking blood expelling stasis method accelerates hematoma resolution after intracerebral hemorrhage (ICH) and its potential mechanism.Methods:63 ICH patients confirmed by computer tomography (CT) scan from August 2019 to February 2020 were selected as the research objects and randomly divided into control group ( n=29, routine treatment plus placebo) and observation group ( n=34, routine treatment plus breaking blood expelling stasis granules). The changes of neurological function and hematoma volume were observed before and after treatment. At the same time, the ICH rat model was constructed to observe the changes of neurobehavior and hematoma volume after the intervention of breaking blood expelling stasis granules. The expressions of peroxidase proliferator-activated-receptor γ(PPARγ), CD11b and CD36 in the surrounding tissues of hematoma were detected by Western blot on the third day after the intervention. Results:After two weeks of treatment, the National Institutes of Health Stroke Scale (NIHSS) score and hematoma volume of the two groups decreased (all P<0.05), and the NIHSS score and hematoma volume of the observation group were significantly lower than those of the control group (all P<0.05). In addition, the changes of NIHSS score and hematoma volume in the observation group before and after treatment were significantly greater than those in the control group ( P<0.01). In animal experiments, the hematoma volume in the breaking blood expelling stasis group on the 14th day after ICH was significantly smaller than that in the ICH group [(9.8±4.9)mm 3 vs (17.6±6.4)mm 3,P<0.05], and the reduction of hematoma in the breaking blood expelling stasis group on the 7th and 14th day was significantly larger than that in the ICH group [(4.6±2.9)mm 3 vs (-2.1±1.6)mm 3, (14.3±3.8)mm 3 vs (4.2±2.8)mm 3, all P<0.01]. The percentage of right turn on 3rd, 7th and 14th day and the modified Neurological Severity Score (mNSS) on 7th and 14th day in the breaking blood expelling stasis group were lower than those in the ICH group (all P<0.05). Western blot analysis showed that the expressions of CD11b, CD36 and PPARγ in the breaking blood expelling stasis group on the third day after ICH were significantly higher than those in the ICH group (CD11b: 0.78±0.12 vs 0.49±0.11, P<0.05; CD36: 1.16±0.16 vs 0.80±0.11, P<0.05; PPARγ: 0.78±0.11 vs 0.37±0.10, P<0.01). Conclusions:Breaking blood expelling stasis can effectively accelerate intracerebral hematoma clearance and improve neurological outcome after ICH, and the mechanism maybe probably mediated by activating PPARγ and enhanced CD36, CD11b upregulation on microglia/macrophages, which resulting in facilitating erythrocyte endogenous phagocytosis.

Objective:To construct a multi-label learning MRI model for assisting diagnosis of sports injury in knee.Methods:A total of 1 391 knee MRI cases from 1 343 young adults with sports injury in Affiliated Jinling Hospital Nanjing University School of Medicine were retrospectively enrolled. The image cases were randomly divided into training set ( n=973), validation set ( n=139) and test set ( n=279) with ratio of 7∶1∶2. The knee injuries were divided into six categories: meniscus injury, tendon injury, ligament injury, osteochondral injury, synovial bursa disorder and soft tissue injury. Using PyTorch V1.1.0 algorithm package, the Yolo model of deep learning was used to construct the MRI knee joint sports injury detection model. The model was validated on the test set, and the sensitivity, specificity and mean average precision of lesion detection were evaluated. Results:Among the 279 patients in test set, the mean average precision of meniscus injury, tendon injury, ligament injury, osteochondral injury, synovial bursa disorder and soft tissue injury were 83.1%, 89.0%, 88.0%, 85.8%, 85.5% and 83.2%, respectively, and the overall mean average precision was 85.8%. The model was most effective in detecting tendon injury. The sensitivity and specificity of the model for tendon injury were 91.2% and 87.1% respectively.Conclusions:The multi-label MRI knee joint exercise-related injury detection model based on deep learning can effectively assist in detecting the exercise-related injury of knee joint in each tissue structure, and is expected to improve the efficiency of diagnosis and treatment in orthopedics.