Fibrosis, the pathological scarring of vital organs, is a severe and often irreversible condition that leads to progressive organ dysfunction. It is particularly pronounced in organs like the liver, kidneys, lungs, and heart. Despite its clinical significance, the full understanding of its etiology and complex pathogenesis remains incomplete, posing substantial challenges to diagnosing, treating, and preventing the progression of fibrosis. Among the various molecular players involved, platelet-derived growth factor-C (PDGF-C) has emerged as a crucial factor in fibrotic diseases, contributing to the pathological transformation of tissues in several key organs. PDGF-C is a member of the PDGFs family of growth factors and is synthesized and secreted by various cell types, including fibroblasts, smooth muscle cells, and endothelial cells. It acts through both autocrine and paracrine mechanisms, exerting its biological effects by binding to and activating the PDGF receptors (PDGFRs), specifically PDGFRα and PDGFRβ. This binding triggers multiple intracellular signaling pathways, such as JAK/STAT, PI3K/AKT and Ras-MAPK pathways. which are integral to the regulation of cell proliferation, survival, migration, and fibrosis. Notably, PDGF-C has been shown to promote the proliferation and migration of fibroblasts, key effector cells in the fibrotic process, thus accelerating the accumulation of extracellular matrix components and the formation of fibrotic tissue. Numerous studies have documented an upregulation of PDGF-C expression in various fibrotic diseases, suggesting its significant role in the initiation and progression of fibrosis. For instance, in liver fibrosis, PDGF-C stimulates hepatic stellate cell activation, contributing to the excessive deposition of collagen and other extracellular matrix proteins. Similarly, in pulmonary fibrosis, PDGF-C enhances the migration of fibroblasts into the damaged areas of lungs, thereby worsening the pathological process. Such findings highlight the pivotal role of PDGF-C in fibrotic diseases and underscore its potential as a therapeutic target for these conditions. Given its central role in the pathogenesis of fibrosis, PDGF-C has become an attractive target for therapeutic intervention. Several studies have focused on developing inhibitors that block the PDGF-C/PDGFR signaling pathway. These inhibitors aim to reduce fibroblast activation, prevent the excessive accumulation of extracellular matrix components, and halt the progression of fibrosis. Preclinical studies have demonstrated the efficacy of such inhibitors in animal models of liver, kidney, and lung fibrosis, with promising results in reducing fibrotic lesions and improving organ function. Furthermore, several clinical inhibitors, such as Olaratumab and Seralutinib, are ongoing to assess the safety and efficacy of these inhibitors in human patients, offering hope for novel therapeutic options in the treatment of fibrotic diseases. In conclusion, PDGF-C plays a critical role in the development and progression of fibrosis in vital organs. Its ability to regulate fibroblast activity and influence key signaling pathways makes it a promising target for therapeutic strategies aiming at combating fibrosis. Ongoing research into the regulation of PDGF-C expression and the development of PDGF-C/PDGFR inhibitors holds the potential to offer new insights and approaches for the diagnosis, treatment, and prevention of fibrotic diseases. Ultimately, these efforts may lead to the development of more effective and targeted therapies that can mitigate the impact of fibrosis and improve patient outcomes.

ObjectiveAs a second messenger in intracellular signal transduction, Ca²⁺ plays an important role in cell migration. Previous studies have demonstrated that extracellular Ca²⁺ influx can promote electric field-guided cell migration, known as electrotaxis. However, the effect of intracellular Ca²⁺ flow on electrotaxis is unclear. Therefore, in this study, we investigate the effect of Ca²⁺ flux on the electrotaxis of Dictyostelium discoideum. MethodsThe electrotaxis of Dictyostelium discoideum was investigated by applying a direct current (DC) electric field. Cell migration was recorded using a real-time imaging system. Calcium channel inhibitors, the extracellular Ca²⁺ chelator EGTA, Ca²⁺-free DB buffer, and caffeine were applied to investigate the impact of intra- and extracellular Ca²⁺ flow on electrotaxis. The involvement of G proteins and ERK2 in directed cell migration mediated by endoplasmic reticulum Ca²⁺ release was explored using mutants. ResultsDictyostelium discoideum migrated toward the cathode in the electric field in a voltage-dependent manner. The intracellular Ca²⁺ concentration of the cells was significantly increased in the electric field. Inhibition of both extracellular Ca²⁺ influx and intracellular Ca²⁺ release suppressed cell electrotaxis migration. Inhibition of endoplasmic reticulum Ca²⁺ release induced by caffeine significantly impaired the electrotaxis of Dictyostelium discoideum. Deletion of Gα2, Gβ, Gγ, and Erk2 notably reduced the electrotaxis of the cells. Enhancing Ca²⁺ release mediated by caffeine restored the electrotaxis of the Gα2^-, Gβ ^-, and Erk2^- mutant cells partially or completely, but did not restore electrotaxis in the Gγ^- mutant cells. ConclusionCa²⁺ release from the endoplasmic reticulum regulates electrotaxis migration in Dictyostelium discoideum and is involved in the regulation of cell electrotaxis by G proteins and ERK2.

ObjectiveTo establish a model that can quickly identify the aroma components in different parts of Nardostachys jatamansi， so as to provide a quality control basis for the market circulation and clinical use of N. jatamansi. MethodsHeadspace solid-phase microextraction-gas chromatography-mass spectrometry（HS-SPME-GC-MS） combined with Smart aroma database and National Institute of Standards and Technology（NIST） database were used to characterize the aroma components in different parts of N. jatamansi， and the aroma components were quantified according to relative response factor（RRF） and three internal standards， and the markers of aroma differences in different parts of N. jatamansi were identified by orthogonal partial least squares-discriminant analysis（OPLS-DA） and cluster thermal analysis based on variable importance in the projection（VIP） value >1 and P<0.01. The odor data of different parts of N. jatamansi were collected by Heracles Ⅱ Neo ultra-fast gas phase electronic nose， and the correlation between compound types of aroma components collected by the ultra-fast gas phase electronic nose and the detection results of HS-SPME-GC-MS was investigated by drawing odor fingerprints and odor response radargrams. Chromatographic peak information with distinguishing ability≥0.700 and peak area≥200 was selected as sensor data， and the rapid identification model of different parts of N. jatamansi was established by principal component analysis（PCA）， discriminant factor alysis（DFA）， soft independent modeling of class analogies（SIMCA） and statistical quality control analysis（SQCA）. ResultsThe HS-SPME-GC-MS results showed that there were 28 common components in the underground and aboveground parts of N. jatamansi， of which 22 could be quantified and 12 significantly different components were screened out. Among these 12 components， the contents of five components（ethyl isovalerate， 2-pentylfuran， benzyl alcohol， nonanal and glacial acetic acid，） in the aboveground part of N. jatamansi were significantly higher than those in the underground part（P<0.01）， the contents of β-ionone， patchouli alcohol， α-caryophyllene， linalyl butyrate， valencene， 1，8-cineole and p-cymene in the underground part of N. jatamansi were significantly higher than those in the aboveground part（P<0.01）. Heracles Ⅱ Neo electronic nose results showed that the PCA discrimination index of the underground and aboveground parts of N. jatamansi was 82， and the contribution rates of the principal component factors were 99.94% and 99.89% when 2 and 3 principal components were extracted， respectively. The contribution rate of the discriminant factor 1 of the DFA model constructed on the basis of PCA was 100%， the validation score of the SIMCA model for discrimination of the two parts was 99， and SQCA could clearly distinguish different parts of N. jatamansi. ConclusionHS-SPME-GC-MS can clarify the differential markers of underground and aboveground parts of N. jatamansi. The four analytical models provided by Heracles Ⅱ Neo electronic nose（PCA， DFA， SIMCA and SQCA） can realize the rapid identification of different parts of N. jatamansi. Combining the two results， it is speculated that terpenes and carboxylic acids may be the main factors contributing to the difference in aroma between the underground and aboveground parts of N. jatamansi.

Objective: To explore the relationship between sleep quality and mental health among middle school students, so as to provide scientific basis for improving mental health among adolescents. Methods: From September to December 2023, a stratified cluster random sampling method was employed to select 5 713 middle school students aged 13-18 from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi, and Urumqi. Sleep quality and mental health were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Brief Adolescent Mental Health Assessment Questionnaire. Spearman correlation analysis and linear regression analysis were used to explore the relationship between sleep quality and various dimensions of mental health among middle school students. Results: There was a statistically significant difference in the total PSQI score among middle school students of different age groups ( H=226.49, P <0.01), and there was no statistically significant difference in the psychological health scores of middle school students in different age groups ( H=5.37, P >0.05). In terms of gender, the total PSQI score for girls [5.00 (3.00, 6.00)] was higher than that for boys [4.00 (2.00, 6.00)]; additionally, boys had higher mental health scores [85.00 (75.00, 90.00)] than females [83.00 (70.00, 89.00)], with statistically significant differences ( Z=-10.90, -8.16, P <0.01). Spearman correlation analysis revealed a negative correlation between total PSQI scores and mental health scores ( r=-0.51, P <0.05) among middle school students. After controlling for variables such as maximum oxygen uptake, physical activity and nutritional status, linear regression analysis further confirmed that higher PSQI scores were associated with lower mental health scores ( B=-3.76, 95%CI = -4.15 to -3.38, P <0.01). Conclusion There is a negative correlation between PSQI scores and mental health scores among middle school students, indicating that improving sleep quality may contribute to better mental health among middle school students.

Depression, a prevalent mental disorder with significant socioeconomic burdens, underscores the urgent need for safe and effective non-pharmacological interventions. Recent advances in microbiome research have revealed the pivotal role of gut microbiota dysbiosis in the pathogenesis of depression. Concurrently, exercise, as a cost-effective and accessible intervention, has demonstrated remarkable efficacy in alleviating depressive symptoms. This comprehensive review synthesizes current evidence on the interplay among exercise, gut microbiota modulation, and depression, elucidating the mechanistic pathways through which exercise ameliorates depressive symptoms via the microbiota-gut-brain (MGB) axis. Depression is characterized by gut microbiota alterations, including reduced alpha and beta diversity, depletion of beneficial taxa (e.g., Bifidobacterium, Lactobacillus, and Coprococcus), and overgrowth of pro-inflammatory and pathogenic bacteria (e.g., Morganella, Klebsiella, and Enterobacteriaceae). Metagenomic analyses reveal disrupted metabolic functions in depressive patients, such as diminished synthesis of short-chain fatty acids (SCFAs), impaired tryptophan metabolism, and dysregulated bile acid conversion. For instance, Bifidobacterium longum deficiency correlates with reduced synthesis of neuroactive metabolites like homovanillic acid, while decreased Coprococcus abundance limits butyrate production, exacerbating neuroinflammation. Furthermore, elevated levels of indole derivatives from Clostridium species inhibit serotonin (5-HT) synthesis, contributing to depressive phenotypes. These dysbiotic profiles disrupt the MGB axis, triggering systemic inflammation, neurotransmitter imbalances, and hypothalamic-pituitary-adrenal (HPA) axis hyperactivity. Exercise exerts profound effects on gut microbiota composition, diversity, and metabolic activity. Longitudinal studies demonstrate that sustained aerobic exercise increases alpha diversity, enriches SCFA-producing genera (e.g., Faecalibacterium prausnitzii, Roseburia, and Akkermansia), and suppresses pathobionts (e.g., Desulfovibrio and Streptococcus). For example, a meta-analysis of 25 trials involving 1 044 participants confirmed that exercise enhances microbial richness and restores the Firmicutes/Bacteroidetes ratio, a biomarker of metabolic health. Notably, endurance training promotes Veillonella proliferation, which converts lactate into propionate, enhancing energy metabolism and delaying fatigue. Exercise also strengthens intestinal barrier integrity by upregulating tight junction proteins (e.g., ZO-1, occludin), thereby reducing lipopolysaccharide (LPS) translocation and systemic inflammation. However, excessive exercise may paradoxically diminish microbial diversity and exacerbate intestinal permeability, highlighting the importance of moderate intensity and duration. Exercise ameliorates depressive symptoms through multifaceted interactions with the gut microbiota, primarily via 4 interconnected pathways. First, exercise mitigates neuroinflammation by elevating anti-inflammatory SCFAs such as butyrate, which suppresses NF-κB signaling to attenuate microglial activation and oxidative stress in the hippocampus. Animal studies demonstrate that voluntary wheel running reduces hippocampal TNF‑α and IL-17 levels in stress-induced depression models, while fecal microbiota transplantation (FMT) from exercised mice reverses depressive behaviors by modulating the TLR4/NF‑κB pathway. Second, exercise regulates neurotransmitter dynamics by enriching GABA-producing Lactobacillus and Bifidobacterium, thereby counteracting neuronal hyperexcitability. Aerobic exercise also enhances the abundance of Lactobacillus plantarum and Streptococcus thermophilus, which facilitate 5-HT and dopamine synthesis. Clinical trials reveal that 12 weeks of moderate exercise increases fecal Coprococcus and Blautia abundance, correlating with improved 5-HT bioavailability and reduced depression scores. Third, exercise normalizes HPA axis hyperactivity by reducing cortisol levels and restoring glucocorticoid receptor sensitivity. In rodent models, chronic stress-induced corticosterone elevation is reversed by probiotic supplementation (e.g., Lactobacillus), which enhances endocannabinoid signaling and hippocampal neurogenesis. Furthermore, exercise upregulates brain-derived neurotrophic factor (BDNF) via microbial metabolites like butyrate, promoting histone acetylation and synaptic plasticity. FMT experiments confirm that exercise-induced microbiota elevates prefrontal BDNF expression, reversing stress-induced neuronal atrophy. Fourth, exercise reshapes microbial metabolic crosstalk, diverting tryptophan metabolism toward 5-HT synthesis instead of neurotoxic kynurenine derivatives. Butyrate inhibits indoleamine 2,3-dioxygenase (IDO), a key enzyme in the kynurenine pathway linked to depression. Concurrently, exercise-induced Akkermansia enrichment enhances mucin production, fortifies the gut barrier, and reduces LPS-driven neuroinflammation. Collectively, these mechanisms underscore exercise as a potent modulator of the microbiota-gut-brain axis, offering a holistic approach to alleviating depression through microbial and neurophysiological synergy. Current evidence supports exercise as a potent adjunct therapy for depression, with personalized regimens (e.g., aerobic, resistance, or yoga) tailored to individual microbiota profiles. However, challenges remain in optimizing exercise prescriptions (intensity, duration, and type) and integrating them with probiotics, prebiotics, or FMT for synergistic effects. Future research should prioritize large-scale randomized controlled trials to validate causality, multi-omics approaches to decipher MGB axis dynamics, and mechanistic studies exploring microbial metabolites as therapeutic targets. The authors advocate for a paradigm shift toward microbiota-centric interventions, emphasizing the bidirectional relationship between physical activity and gut ecosystem resilience in mental health management. In conclusion, this review underscores exercise as a multifaceted modulator of the gut-brain axis, offering novel insights into non-pharmacological strategies for depression. By bridging microbial ecology, neuroimmunology, and exercise physiology, this work lays a foundation for precision medicine approaches targeting the gut microbiota to alleviate depressive disorders.

Hypercoagulable state (HCS) after kidney transplantation is one of the common and serious complications in kidney transplant recipients, which has attracted increasing attention in recent years. HCS refers to the abnormal and excessive activation of blood coagulation function, leading to the increased risk of thrombosis. After kidney transplantation, the combined effects of hemodynamic changes, surgical trauma and severe rejection increase the incidence of HCS, not only raising the risk of thrombosis but also potentially causing graft failure and affecting the postoperative survival rate of patients. This article reviews the influencing factors, clinical manifestations, diagnostic methods and preventive strategies of HCS after kidney transplantation, aiming to provide a theoretical basis for optimizing perioperative management and improving the prognosis of patients.

OBJECTIVE To evaluate the efficacy， safety and cost-effectiveness of toripalimab （Tor） combined with chemotherapy （CT） in the treatment of locally advanced or metastatic non-small cell lung cancer （NSCLC）. METHODS PubMed， the Cochrane Library， Embase， Web of Science， CBM， CNKI， Wanfang Data， and Health Technology Assessment （HTA） related websites were searched to collect the HTA reports， systematic reviews/meta-analyses and pharmacoeconomic studies of Tor+CT in the treatment of locally advanced or metastatic NSCLC from database/website inception to March 31， 2025. After data extraction and quality evaluation， the results of the included studies were analyzed descriptively. RESULTS A total of eleven studies were included， involving five systematic reviews/meta-analyses， and six pharmacoeconomic studies. Among the five systematic reviews/ meta-analyses， two were of high quality， while there was one each of moderate， low， and very low quality. All six pharmacoeconomic studies were of good quality. In terms of efficacy， compared with CT， Tor+CT significantly improved patients’ progression-free survival （PFS） and overall survival （P＜0.05）. In addition， compared with ipilimumab+CT， durvalumab， durvalumab+tremelimumab and sugemalimab+CT， Tor+CT could also improve the PFS （P＜0.05）. In terms of safety， there was no significant difference in the incidence of grade≥3 adverse events between patients receiving Tor+CT and CT （P＞0.05）； while Tor+CT had a lower incidence of grade≥3 adverse E-mail： events， compared with camrelizumab+CT， pembrolizumab+ 3233255290@qq.com ipilimumab， nivolumab+CT and atezolizumab+CT （P＜0.05）.In terms of cost-effectiveness， Tor+CT treatment had certain cost-effectiveness advantages， compared with CT. CONCLUSIONS Compared with CT， other programmed death-1/programmed death-ligand 1 inhibitors alone， or their combination with CT， Tor+CT for the treatment of locally advanced or metastatic NSCLC has good efficacy， safety and cost-effectiveness.

Aim To study the main active components and potential mechanism of selenshenzhi prescription a-gainst esophageal cancer by network pharmacology and in vivo and in vitro experiments.Methods The com-mon target was extracted from TCMSP,OMIM and GeneCards databases,and the PPI network was con-structed using STRING database.DAVID database was used for GO and KEGG enrichment analysis,and a network was constructed based on STRING and DAVID database for in vivo and in vitro experimental verifica-tion.Results Prediction results showed that a total of 100 active ingredients and 749 related targets were ob-tained,and 168 common targets were obtained between selenoshenzhi recipe and esophageal cancer,which were involved in the PI3K-AKT signaling pathway and proteoglycan signaling pathways in cancer.Selenshenz-hi prescription was used to conduct preliminary verifi-cation of related targets for human esophageal cancer EC9706 based on in vitro experiments.The results showed that selenshenzhi prescription could significantly inhibit the proliferation of esophageal cancer cells and induce the apoptosis of EC9706 through the expression of Bax,Bcl-2,caspase-3 and other key apoptotic pro-teins.Lastly,the core target and pathway of selensh-enzhi prescription were preliminically verified based on in vivo animal experiments on nude mice with esopha-geal cancer.The results showed that selenshenzhi pre-scription could significantly inhibit tumor proliferation,promote tumor cell apoptosis,and induce tumor apop-tosis by regulating the expression of key proteins on PI3K/AKT signaling pathway.Conclusions Selensh-enzhi prescription can control the occurrence and de-velopment of esophageal cancer through the synergistic effect of multi-components,multi-targets and multi-pathways,and provide a theoretical basis for further clinical investigation of the mechanism of selenshenzhi prescription in the treatment of esophageal cancer in the future.

Aim To investigate the effect of discoidin domain receptor 1(DDR1)on high glucose induced endothelial cell dysfunction and the underlying mecha-nism.Methods Human umbilical vein endothelial cells(HUVECs)were cultured in vitro and divided in-to the control group and high glucose induction group(HG).HUVECs were treated with 33 mmol·L-1 D-glucose for 48 hours to construct endothelial dysfunc-tion.Pyroptosis was detected using propidium iodide staining(PI);lactate dehydrogenase(LDH)and IL-1β,IL-18 levels were determined using enzyme linked immunosorbent assay(ELISA);the expression of DDR1 and NF-κB/NLRP3 signaling pathway proteins and pyroptosis related proteinses were detected using Western blot.Subsequently,the experiment was divid-ed into the control group,HG group,HG+DDR1 NC group,and HG+DDR1 siRNA group.The effect of high glucose on the proliferation and migration of HU-VECs was observed after transfection with DDR1 siR-NA for 24 hours;ELISA was used to detect the endo-thelial nitric oxide synthase(eNOS),vascular cell ad-hesion molecule-1(VCAM-1),intercellular adhesion molecule-1(ICAM-1),as well as LDH,IL-1β,IL-18 levels;PI was employed to detect pyroptosis;Western blot was applied to detect DDR1 and NF-κB/NLRP3 signaling pathway proteins and pyroptosis related pro-teins.Results Compared with the control group,HG group decreased eNOS content,increased VCAM-1 and ICAM-1 contents,decreased cell viability and migration ability,and significantly increased the expressions of DDR1,p-NF-κB,NLRP3 and pyroptosis related pro-teins.The levels of LDH,IL-1β,IL-18 and the rate of pyroptosis significantly increased(P＜0.05).Com-pared with HG group,DDR1 siRNA could promote the secretion of eNOS,decrease the levels of VCAM-1,ICAM-1,LDH,IL-1β and IL-1 8,increase cell viability and migration ability,reduce the expression of p-NF-κB,NLRP3 and pyroptosis related proteins,and inhibit high glucose-induced pyroptosis of HUVECs(P＜0.05).Conclusions Gene silencing DDR1 can im-prove vascular endothelial cell dysfunction induced by high glucose,and the mechanism is related to the inhi-bition of NF-κB/NLRP3 signaling pathway mediated pyroptosis.

Objective To compare the cost and utility of aflibercept and conbercept for the treatment of wet age-related macular degeneration(wetAMD),in order to provide a reference for the selection of treatment regimens from the perspective of pharmacoeconomics.Methods The incremental cost-utility ratio(ICUR)was obtained by using Markov model to simulate the survival of the two treatment regimens over the 5-year period,calculating costs and health outputs separately.Univariate sensitivity analysis was used to determine the impact of the parameter on ICUR,and probability sensitivity analysis was used to determine the influence of the uncertainty of each model parameter on the research results.One times the 2022 gross domestic product(GDP)per capita of China was used as the willingness-to-pay threshold(WTP)to judge its economy.Results Over the simulation period,the compazine regimen was significantly economical against the aflibercept regimen,with an ICUR of-1 528 840 per quality-adjusted life year(QALY),which was lower than the WTP.Univariate sensitivity analysis showed that the transition probability between mild and moderate visual status between the two regimens and the number of aflibercept injections per year were significant influencing factors of ICUR.Probabilistic sensitivity analysis pointed to a significant cost-utility advantage for conbercept at a WTP of one times GDP(probability of 65.9％),which was a more robust result.Conclusion For the treatment of wetAMD,conbercept has a cost-utility advantage compared with aflibercept.