BackgroundAdolescents with depressive disorder often engage in non-suicidal self-injury （NSSI） behaviors， which severely impacts their physical and mental health. Impulsivity and emotional regulation are key factors influencing NSSI behaviors. However， research on the mechanisms through which impulsivity and emotional regulation affect NSSI behaviors in adolescent depressive disorder patients with NSSI remains insufficient， limiting the development of effective intervention strategies. ObjectiveTo explore the differences in impulsivity and emotion regulation abilities between adolescent patients with depressive disorder accompanied by and without NSSI behaviors， and to analyze the association between NSSI behaviors and impulsivity and emotion regulation abilities in adolescent patients with depressive disorder accompanied by NSSI behaviors. MethodsA total of 184 adolescents hospitalized in the child and adolescent psychiatry department of Wuxi Mental Health Center from October 2023 to August 2024， who met the diagnostic criteria for depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5）， were consecutively enrolled as study subjects. Based on the diagnostic criteria for NSSI in DSM-5， patients were divided into NSSI group （n=108） and non-NSSI group （n=76）. The Barratt Impulsiveness Scale-11 （BIS-11）， the Emotion Regulation Questionnaire （ERQ）， the Adolescent Self-Harm Questionnaire， and the Positive and Negative Suicide Ideation （PANSI） were used for assessment. Spearman correlation analysis was employed to explore the correlation between the scores of the Adolescent Self-Harm Questionnaire and the scores of BIS-11 and ERQ in the NSSI group. Multiple regression analysis was conducted to examine the effects of impulsivity and emotion regulation on NSSI behaviors in the NSSI group. ResultsCompared to the non-NSSI group， the NSSI group showed significantly higher scores in BIS-11 non-planned impulsivity （Z=-4.181， P<0.05）， action impulsivity （t=4.944， P<0.05）， cognitive impulsivity （Z=-3.392， P<0.05）， and total score （t=4.763， P<0.05）， and lower scores in the cognitive reappraisal of ERQ （t=-4.094， P<0.05） and total score （Z=-2.299， P<0.05）， and higher scores in the expression inhibition of ERQ （Z=-3.019， P<0.05）. The correlation analysis results showed that the score of the adolescent self-harm questionnaire in the NSSI group was positively correlated with the behavioral impulsivity factor score in the BIS-11 （r=0.434， P<0.05）. Multiple regression analysis indicated that action impulsivity factor was a significant correlate of self-injury behaviors in the NSSI group （B=0.855， P<0.05）， explaining 22.30% of the total variance. ConclusionAdolescent patients with depressive disorder accompanied by NSSI behaviors exhibit higher levels of impulsivity and poorer emotional regulation abilities. Action impulsivity may play a significant role in the mechanism of NSSI behaviors. ［Funded by Wuxi Municipal Health Commission Research Project （number， Q202320）］

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveTo investigate the mechanism of Yijing decoction to inhibit oxidative stress induced by chronic iron overload and improve ovarian reserve hypofunction in mice. MethodsSeventy-two female C57BL/6J mice with normal estrous cycles were randomly divided into six groups （n=12 per group）：blank group，model group，Yijing decoction（YJD） low-dose group，medium-dose group，high-dose group，and dehydroepiandrosterone （DHEA） group. Mice in the blank group received intraperitoneal injections of normal saline，while those in all other groups were administered iron dextran （Sigma-Aldrich） at a dose of 0.5 g·kg^-1 once weekly for 8 weeks to establish a chronic iron overload model. Following the final injection，interventions were initiated and continued for 4 weeks. The low，medium，and high dose groups of YJD received oral gavage of Yijing decoction aqueous solution at doses of 18.165， 36.33，and 72.66 g·kg^-1·d^-1，respectively. The DHEA group received DHEA aqueous solution at 10.812 5 mg·kg^-1·d^-1. The blank and model groups received an equivalent volume of distilled water by gavage once daily. Body weight was recorded weekly，and food intake was monitored throughout the treatment period. Vaginal smears were collected daily and stained with hematoxylin-eosin （HE） to assess estrous cycle regularity. At the end of the experiment，mice were euthanized，and bilateral ovaries and uteri were rapidly excised and weighed to calculate ovarian and uterine indices （mg·g^-1）. Ovarian tissues were fixed，embedded，and sectioned for hematoxylin and eosin （HE） staining to evaluate histopathological changes. Iron deposition in ovarian tissue was visualized using Prussian blue staining. Serum levels of follicle-stimulating hormone （FSH），luteinizing hormone （LH），estradiol （E₂），and anti-Müllerian hormone （AMH） were measured by enzyme-linked immunosorbent assay （ELISA）. Malondialdehyde （MDA） content and superoxide dismutase （SOD） activity in ovarian homogenates were determined using commercial biochemical assay kits. Reactive oxygen species （ROS） levels in ovarian tissue were assessed by ROS fluorescence staining on frozen sections. Mitochondrial ultrastructure in ovarian tissue was examined by transmission electron microscopy （TEM）. Total RNA was extracted from ovarian tissue for real-time quantitative polymerase chain reaction （Real-time PCR） to quantify mRNA expression of ferritin heavy chain 1 （Fth1），ferritin light chain （Ftl），transferrin （Tf），transferrin receptor 1 （Tfr1），catalase （Cat），and glutathione peroxidase 1 （GPX1）. Protein expression levels of Fth1，Ftl，Tf，Tfr1，and glutathione peroxidase 4 （GPX4） were analyzed by Western blot. ResultsCompared with the blank group，mice in the model group exhibited significantly reduced body weight and severe estrous cycle disruption （P<0.01），a markedly increased uterine index （P<0.01），and a significantly decreased ovarian index （P<0.01）. The number of antral follicles was significantly reduced，while atretic follicles were markedly increased，accompanied by pronounced iron deposition in the ovarian stroma. Serum levels of AMH and E₂，as well as ovarian SOD activity，protein and mRNA expression of Tf and Tfr1，and mRNA levels of GPX1 and Cat were all significantly downregulated （P<0.05，P<0.01）. Conversely，serum FSH and LH levels，MDA content，protein and mRNA expression of Fth1 and Ftl，and ROS fluorescence intensity were significantly elevated （P<0.05，P<0.01），along with a marked decrease in GPX4 protein expression （P<0.01）. TEM revealed an increased number of damaged mitochondria in ovarian tissue，characterized by loss or disappearance of mitochondrial cristae. Compared with the model group，treatment with low，medium，and high doses of YJD and DHEA significantly improved body weight and ameliorated estrous cycle irregularities （P<0.05，P<0.01），decreased the uterine index （P<0.05），and increased the ovarian index （P<0.05，P<0.01）. These groups also showed increased numbers of antral follicles，reduced atretic follicles，and significantly diminished iron deposition in the ovarian stroma. Serum AMH and E₂ levels，ovarian SOD activity，protein and mRNA expression of Tf and Tfr1，and mRNA levels of GPX1 and Cat were all significantly upregulated （P<0.05，P<0.01）. In contrast，serum FSH and LH levels，MDA content，protein and mRNA expression of Fth1 and Ftl，and ROS fluorescence intensity were significantly reduced （P<0.05，P<0.01），while GPX4 protein expression was markedly increased （P<0.01）. Moreover，mitochondrial damage was alleviated，and mitochondrial ultrastructure was notably restored in ovarian tissue. ConclusionYijing decoction ameliorates ovarian reserve function in mice with chronic iron overload by upregulating the expression of Tf，Tfr1，and GPX4，downregulating the expression of Ft，Fth1，and Ftl，thereby alleviating systemic iron metabolism disorders，reducing oxidative stress in ovarian tissue，and restoring mitochondrial morphology and structure.

First recorded in an official medical book from the Northern Song Dynasty called Taiping Huimin Heji Ju Fang （Prescriptions of the Bureau of Taiping People's Welfare Pharmacy）， Xiaoyaosan has been developed and refined over generations and is preserved to this day. It specializes in soothing the liver，resolving stagnation，fortifying the spleen，and nourishing blood. In this study，ancient traditional Chinese medicine （TCM） books and contemporary studies were reviewed to obtain information on Xiaoyaosan using bibliometrics，including its historical development，dosage，origin，processing methods，decoction dosage，and ancient and modern indications. Furthermore，a question regarding the presence of Zingiberis Rhizoma Recens and Menthae Haplocalycis Herba in Xiaoyaosan was investigated，and a table of key information on Xiaoyaosan was compiled，providing references for developing Xiaoyaosan preparations. According to the weight and measurement system of the Song dynasty，the contemporary equivalent formulation of the decocted Xiaoyaosan consists of 20.65 g of Glycyrrhizae Radix et Rhizoma and 41.3 g of Angelica Sinensis Radix，Poria，Paeoniae Radix Alba，Atractylodis Macrocephalae Rhizoma，and Bupleuri Radix. The formulation is processed to obtain a mixed powder with a particle size of 10 mesh. For each dose，8.25 g of the mixed powder is combined with 1 g of unprocessed Zingiberis Rhizoma Recens and 0.62 g of Menthae Haplocalycis Herba in 300 mL of water. The mixture is decocted until the volume reaches 210 mL，and the residue is then removed，with no specific timing required for administration. After the processing，each dose consists of approximately 0.75 g of Glycyrrhizae Radix et Rhizoma and 1.50 g of Radix Angelica Sinensis，Poria，Paeoniae Radix Alba，Atractylodis Macrocephalae Rhizoma，and Bupleuri Radix. Ancient medical literature shows that Xiaoyaosan primarily treats blood deficiency and overstrain，specifically for symptoms including heat caused by blood deficiency and fatigue，irregular menstruation，headache，eye soreness，pain in the ribs and limbs，and emaciation and bone steaming. In the Qing Dynasty，ZHANG Lu clearly proposed the pathogenesis of liver depression，and since then，the use of Xiaoyaosan in treating various syndromes associated with liver depression has been highly praised by physicians in the Qing dynasty and modern times. Xiaoyaosan has a wide application in modern clinical practices，involving digestive diseases，gynecological diseases，psychological diseases，nervous system diseases，and otorhinolaryngologic diseases. Moreover，it is most commonly used to treat depression and other diseases complicated with depression，hyperplasia of the mammary gland，etc. The key information on Xiaoyaosan and its clinical applications in ancient and modern times investigated in the study could serve as a scientific reference for in-depth research and extended clinical applications of the prescription.

Objective To investigate the correlations of serum levels of soluble vascular cell ad-hesion molecule-1(sVCAM-1),homocysteine(Hcy)and D-dimer(D-D)with inner ear microcircu-lation disorders in patients with sudden sensorineural hearing loss.Methods Eighty-four patients with sudden deafness were selected as subjects.Patients were divided into mild(17 cases),moderate(31 cases)and severe(36 cases)groups based on the degree of hearing loss.According to the types of audiogram maps,they were divided into low-frequency group(22 cases),high-frequency group(33 cases)and full-frequency group(29 cases).Forty-two healthy individuals undergoing physical examination during the same period served as healthy group.The levels of sVCAM-1,Hcy as well as D-D and inner ear microcirculation arterial diameters were compared among different audiogram types and degrees of hearing loss.Pearson correlation analysis and linear regression analysis were em-ployed to verify the correlations between the aforementioned serum indicators and arterial diameters in inner ear microcirculation of affected patients.Results Compared with the healthy group,the diameters of the internal auditory artery,basilar artery,and anterior inferior cerebellar artery in the inner ear microcirculation were significantly reduced in the low-frequency type,high-frequency type and full-frequency type groups,with the high-frequency and full-frequency types being significantly smaller than the low-frequency type,and the full-frequency type being significantly smaller than the high-frequency type(P＜0.05).Serum levels of sVCAM-1,Hcy and D-D were significantly higher in the low-frequency type,high-frequency type and full-frequency type groups compared with the healthy group,with the full-frequency type being significantly higher than the low-frequency and high-frequency types(P＜0.05).Serum levels of sVCAM-1,Hcy and D-D were significantly high-er in the mild,moderate and severe groups compared with the healthy group,with the severe group being significantly higher than the mild and moderate groups(P＜0.05).The diameters of the in-ternal auditory artery,basilar artery and anterior inferior cerebellar artery in the inner ear microcir-culation were significantly smaller in the mild,moderate and severe groups compared with the healthy group(P＜0.05).Compared with the mild group,the diameters of the internal auditory ar-tery,basilar artery and anterior inferior cerebellar artery were significantly reduced in the moderate and severe groups,with the severe group being significantly smaller than the moderate group(P＜0.05).Serum levels of sVCAM-1,Hcy and D-D showed negative correlation with the diameters of the internal auditory artery,basilar artery and anterior inferior cerebellar artery(P＜0.05).Arterial di-ameters of the internal auditory artery,basilar artery and anterior inferior cerebellar artery were inde-pendently correlated with serum levels of sVCAM-1,Hcy and D-D(P＜0.05).Conclusion Serum levels of sVCAM-1,Hcy and D-D are closely related to inner ear microcirculation disorders in pa-tients with sudden deafness.As serum levels of sVCAM-1,Hcy and D-D increase,the severity of hearing loss and inner ear microcirculation disorder intensifies.

Single-cell analysis of phenotypic plasticity could improve the development of more effective therapeutics. Still, the development of tools to measure single-cell heterogeneity has lagged due to difficulties in manipulating and culturing single cells. Here, we describe a single-cell culture and phenotyping platform that employs a starburst microfluidic network and automatic liquid handling system to capture single cells for long-term culture and multi-dimensional analysis and quantify their clonal properties via their surface biomarker and secreted cytokine/growth factor profiles. Studies performed on this platform found that cells derived from single-cell cultures maintained phenotypic equilibria similar to their parental populations. Single-cell cultures exposed to chemotherapeutic drugs stochastically disrupted this balance to favor stem-like cells. They had enhanced expression of mRNAs and secreted factors associated with cell signaling, survival, and differentiation. This single-cell analysis approach can be extended to analyze more complex phenotypes and screen responses to therapeutic targets.

Ovarian tumor (OT) is the most lethal form of gynecologic malignancy, with minimal improvements in patient outcomes over the past several decades. Metastasis is the leading cause of ovarian cancer-related deaths, yet the underlying mechanisms remain poorly understood. Psychological stress is known to activate the glucocorticoid receptor (NR3C1), a factor associated with poor prognosis in OT patients. However, the precise mechanisms linking NR3C1 signaling and metastasis have yet to be fully elucidated. In this study, we demonstrate that chronic restraint stress accelerates epithelial-mesenchymal transition (EMT) and metastasis in OT through an NR3C1-dependent mechanism involving nuclear protein 1 (NUPR1). Mechanistically, NR3C1 directly regulates the transcription of NUPR1, which in turn increases the expression of snail family transcriptional repressor 2 (SNAI2), a key driver of EMT. Clinically, elevated NR3C1 positively correlates with NUPR1 expression in OT patients, and both are positively associated with poorer prognosis. Overall, our study identified the NR3C1/NUPR1 axis as a critical regulatory pathway in psychological stress-induced OT metastasis, suggesting a potential therapeutic target for intervention in OT metastasis.

This study explored the drying kinetics of Salviae Miltiorrhizae Radix et Rhizoma(SM), established the suitable models simulating the drying kinetics, and then analyzed the dynamic changes of active components during the drying processes with different methods, aiming to provide a basis for the establishment of suitable drying methods and the quality control of SM. The drying kinetics were studied based on the drying curve, drying rate, moisture effective diffusion coefficient, and drying activation energy, and the appropriate drying kinetics model of SM was established. The drying performance of different methods, such as hot air drying, infrared drying, and microwave drying of SM was evaluated, and the changes in the content of 10 salvianolic acids and 6 tanshinones during drying were analyzed by UPLC-TQ-MS. The Technique for Order Preference by Similarity to an Ideal Solution(TOPSIS) was employed to evaluate the quality of SM dried with different methods. The results showed that the drying rate and moisture effective diffusion coefficient of SM increased with the rise in drying temperature, and the maximum drying rates of different methods were in the order of microwave drying > infrared drying > hot air drying, slice > whole root. The drying rate decreased with the rise in temperature and the extension of drying time. The activation energy of hot air drying was higher than that of infrared drying in SM. The most suitable model for simulating the drying process of SM was the Page model. The TOPSIS results suggested infrared drying at 50 ℃ was the optimal drying method for SM. During the drying process, the content of salvianolic acids increased in different degrees with the loss of moisture, among which salvianolic acid B showed the largest increase of 44 times compared with that in the fresh medicinal material. Tanshinones also existed in the fresh herb of SM, and the content of tanshinone Ⅱ_A increased by 3 times after drying. The results provided a basis for the establishment of suitable drying methods and the quality control of SM.
Salvia miltiorrhiza/chemistry* ; Desiccation/methods* ; Drugs, Chinese Herbal/chemistry* ; Rhizome/chemistry* ; Kinetics ; Quality Control ; Abietanes