ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

ObjectiveThe essence of syndrome manifestation recognition in traditional Chinese medicine (TCM) is to infer the body’s latent pathogenesis state from clinical observational information, rather than to perform simple label matching. However, previous studies have largely modeled this task as syndrome pattern classification within a fixed label space, which does not adequately reflect the cognition process of TCM syndrome differentiation centered on pathogenesis reasoning, and is also insufficient to capture the openness, semantic variability, and cross-disease reusability of syndrome manifestation expression. This study aimed to investigate whether introducing pathogenesis reasoning chain-of-thought (PR-CoT) supervision into large language models (LLMs) could improve the quality and cognitive consistency of syndrome manifestation recognition and support cross-disease transfer. MethodsSyndrome manifestation recognition was formulated as a conditional generation task under the framework of clinical observational information (X)→pathogenesis structure (Z)→syndrome pattern output (Y), where Z serves as an explicit intermediate structural variable linking the clinical evidence and syndrome judgment. Within this framework, a PR-CoT-supervised dataset for syndrome manifestation recognition was constructed based on medical case records of spleen-stomach disorders. After preprocessing, information extraction, manual proofreading, and data cleaning, the dataset comprised 4 800 training cases, 400 development cases, and 400 test cases. Each sample was annotated with a structured PR-CoT consisting of three progressive levels: clinical information summarization, comprehensive pathogenesis analysis, and syndrome pattern output. Supervised fine-tuning was conducted on open-source LLMs, with an end-to-end model serving as the baseline. Qwen3-32B was used as the primary experimental model, and Qwen3-14B as the scale comparison model. A progressive multidimensional evaluation framework was further established, comprising a structural parsing level, a semantic similarity level, and an expert blind review level. At the structural parsing level, syndrome pattern expressions were decomposed into structural elements and evaluated using Precision, Recall, F1 score, and Jaccard similarity. At the semantic similarity level, independent LLMs scored the theoretical proximity between predicted and reference syndrome patterns. At the expert blind review level, three TCM experts independently evaluated model outputs on two dimensions: syndrome differentiation consistency and terminology standardization of syndrome patterns. In addition, zero-shot cross-disease transfer evaluation was conducted on gynecological and heart-system disorder test sets. ResultsAt the structural parsing level, PR-CoT supervision did not lead to a stable improvement in the element-wise overlap of syndrome pattern structural components. Compared with the corresponding baselines, neither Qwen3-32B nor Qwen3-14B showed consistent advantages in structural matching metrics after the introduction of PR-CoT supervision. In contrast, at the semantic similarity level, PR-CoT supervision produced stable positive gains across different model scales and evaluation systems. The average semantic score of Qwen3-32B increased from 6.425 8 in the baseline model to 6.585 0 after PR-CoT supervision, and that of Qwen3-14B increased from 5.870 0 to 5.964 2. At the expert blind review level, the overall score of Qwen3-32B (PR-CoT) was 7.026 0±0.107 7, higher than 6.416 3±0.288 9 for its baseline. In zero-shot cross-disease testing, the PR-CoT model still showed advantages in semantic evaluation and expert evaluation on both gynecological and heart-system disorder test sets, indicating a certain degree of transferability. ConclusionThe benefits of PR-CoT supervision are mainly reflected in TCM semantic consistency and clinical plausibility, rather than in improved hard matching of structural elements. These findings support understanding syndrome manifestation recognition as a process of generating and expressing latent pathogenesis structures, rather than as a classification task within a traditional fixed label space. By introducing pathogenesis reasoning as an explicit intermediate structure into the modeling process and combining it with a progressive multidimensional evaluation framework, this study provides a methodological pathway for intelligent TCM syndrome differentiation that integrates theoretical alignment, interpretability, and multi-level evaluation.

This study is designed to address the development, synthesis, and screening of non-animal-derived nanoantibody libraries. Furthermore, it seeks to elucidate the impact of framework region selection and complementarity-determining region (CDR) design on the characteristics of synthesized nanoantibody libraries. These investigations aim to establish a robust theoretical and technical foundation for enhancing the efficacy, diversity, and practical applicability of synthetic nanoantibody libraries. In this study, a new framework (IGHV3S65*01-IGHJ4*01) was identified based on the high-throughput sequencing results of natural nanobodies, and degenerate primers were designed based on the frequency of amino acids at each position in the complementarity-determining region (CDR) region to synthesize the coding fragments of nanobodies by overlap PCR. After 40 times of electro-transformation, a single-frame synthesized nanobody library (SS-Library) containing 6×10⁹ clones was obtained, and the titer of the library was demonstrated to be 10¹³ PFU/mL after rescue by the helper phage M13K07. Random 48 single colonies were picked for PCR, which revealed an insertion rate of 95.8%. Sanger sequencing results showed that 38 clones had complete sequences, none of which showed cysteines or stop codons, and no identical sequences appeared, suggesting that the library had higher diversity. The library was screened and validated with three antigens, including bovine serum albumin (BSA), acetylcholinesterase (AchE), and immunoglobulin G (IgG). Finally, 2 nanobodies against BSA, 10 against AchE, and 15 against IgG were obtained. One positive clone of each antigen was singled out for recombinant expression, and the results showed that all the three nanobodies were expressed in a soluble form. The binding activity of recombinantly expressed nanobodies was evaluated using indirect enzyme-linked immunosorbent assay (ELISA) and bio-layer interferometry (BLI). The results demonstrated that the anti-AChE and anti-IgG nanobodies exhibited specific binding to their respective antigens, with affinity constants (KD) of 294 nmol/L and 250 nmol/L, respectively. The nanobody synthetic library preparation method proposed in this study is simple and easy to use with low preference, and it is expected to be a universal nanobody discovery platform for the preparation and development of lead specific nanobodies.
Single-Domain Antibodies/biosynthesis* ; Peptide Library ; Complementarity Determining Regions/immunology* ; Animals

Objective:To understand the characteristics of faculty in high-level public health schools in China, and analyze the differences in age, area and school level.Methods:Based on the internet information, the faculty information of 18 high-level public health schools was collected for a descriptive analysis on faculty characteristics.Results:There were 1 642 faculty members in the schools of public health in China, in whom 51.8% were women, 92.8% had doctorate, 32.4% had postdoctoral experience and 56.8% were former students staying to teach. The average age of the faculty members was (45.6±9.8) years. Meanwhile the top three study subjects were epidemiology and health statistics (31.0%), occupational health and environmental sanitation (16.5%), and health toxicology (16.3%). In the faculty members aged >40 years, 90.2% had doctorate, 62.6% were former students staying to teach, and 24.7% had no educational background of public health. The proportions of faculty members aged ≤40 years in the three groups mentioned above were 98.2%, 45.8% and 39.1% respectively. In terms of study subject, big data study were mainly conducted in the schools with top subject ranking and the schools in developed areas.Conclusions:The public health faculty was characterized by cross education background and high capability. The study subjects and sub-disciplines varied with schools and areas.

Objective:To evaluate the effect of preoperative anxiety on the consciousness and autonomic nervous activity during propofol anesthesia.Methods:This study was a secondary analysis of data from the clinical trial in a prospective single-arm study. One hundred and thirty patients, aged 18-65 yr, with a body mass index of 18.5-27.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification I or Ⅱ, scheduled to receive propofol anesthesia, were selected from the Second People′s Hospital of Lianyungang. The six-item of the state anxiety inventory (SAI) of the State-Trait Anxiety Inventory was used to assess the anxiety of patients 1 h before surgery. The patients were divided into 2 groups according to the cut-off value of 12: obvious anxiety symptom (SAI score >12) group (group A, n=49) and no obvious anxiety symptom (SAI score ≤12) group (group B, n=81). After admission to the operating room, the patient was required to hold a 50 ml syringe filled with water. Propofol was given by target-controlled infusion (TCI) with the target plasma concentration set at 5 μg/ml. When the effect-site concentration (Ce) of propofol increased to 3.5 μg/ml (all the patients lost consciousness), the closed-loop TCI was used to maintain BIS value between 45 and 55. The patients were monitored for 20 min after stopping the pump infusion (anesthesia recovery period). The disappearance time of verbal command, disappearance time of eyelash reflex, time of syringe dropping, recovery time of verbal command, recovery time of eyelash reflex, Ce at the recovery of verbal command, Ce at the recovery of eyelash reflex, Ce within the first 5 min of the closed-loop TCI, and consumption of propofol during anesthesia were recorded. The peripheral perfusion index, low frequency power and high frequency power of heart rate variability were recorded, and the ratio of low frequency power to high frequency power was calculated. Pearson correlation analysis was used to assess the correlation between preoperative SAI score and consciousness-related indicators, simulated Ce of propofol and consumption of propofol. Results:Compared with group B, the disappearance time of verbal command, disappearance time of eyelash reflex, and time of syringe dropping were significantly prolonged, the consumption of propofol, simulated Ce at recovery of verbal command and within the first 5 min of closed-loop TCI were increased, the peripheral perfusion index was decreased at each time point before administration and at 14-20 min of anesthesia recovery, and the low-frequency power was decreased during anesthesia maintenance in group A ( P<0.05). The SAI score was positively correlated with the disappearance time of verbal command ( r=0.220, P=0.012), time of syringe dropping ( r=0.206, P=0.029), consumption of propofol ( r=0.330, P<0.001), and the simulated Ce at the recovery of verbal command ( r=0.215, P=0.015) and simulated Ce at recovery of eyelash reflex ( r=0.207, P=0.022). Conclusions:Preoperative anxiety may lead to prolonged loss of consciousness and more marked inhibition of sympathetic nerve activity during propofol anesthesia.

Acute kidney injury (AKI) has high morbidity and mortality, but effective clinical drugs and management are lacking. Previous studies have suggested that macrophages play a crucial role in the inflammatory response to AKI and may serve as potential therapeutic targets. Emerging evidence has highlighted the importance of forkhead box protein O1 (FoxO1) in mediating macrophage activation and polarization in various diseases, but the specific mechanisms by which FoxO1 regulates macrophages during AKI remain unclear. The present study aimed to investigate the role of FoxO1 in macrophages in the pathogenesis of AKI. We observed a significant upregulation of FoxO1 in kidney macrophages following ischemia-reperfusion (I/R) injury. Additionally, our findings demonstrated that the administration of FoxO1 inhibitor AS1842856-encapsulated liposome (AS-Lipo), mainly acting on macrophages, effectively mitigated renal injury induced by I/R injury in mice. By generating myeloid-specific FoxO1-knockout mice, we further observed that the deficiency of FoxO1 in myeloid cells protected against I/R injury-induced AKI. Furthermore, our study provided evidence of FoxO1's pivotal role in macrophage chemotaxis, inflammation, and migration. Moreover, the impact of FoxO1 on the regulation of macrophage migration was mediated through RhoA guanine nucleotide exchange factor 1 (ARHGEF1), indicating that ARHGEF1 may serve as a potential intermediary between FoxO1 and the activity of the RhoA pathway. Consequently, our findings propose that FoxO1 plays a crucial role as a mediator and biomarker in the context of AKI. Targeting macrophage FoxO1 pharmacologically could potentially offer a promising therapeutic approach for AKI.

OBJECTIVES: To investigate the mechanism by which transforming growth factor‑β (TGF‑β) regulates major histocompatibility complex class I (MHC-I) expression in hepatocellular carcinoma (HCC) cells and its role in immune evasion of HCC. METHODS: HCC cells treated with TGF‑β alone or in combination with SB-431542 (a TGF-β type I receptor inhibitor) were examined for changes in MHC-I expression using RT-qPCR and Western blotting. A RNA interference experiment was used to explore the role of miR-23a-3p/IRF1 signaling in TGF‑β‑mediated regulation of MHC-I. HCC cells with different treatments were co-cultured with human peripheral blood mononuclear cells (PBMCs), and the changes in HCC cell proliferation was assessed using CCK-8 and colony formation assays. T-cell cytotoxicity in the co-culture systems was assessed with lactate dehydrogenase (LDH) release and JC-1 mitochondrial membrane potential assays, and T-cell activation was evaluated by flow cytometric analysis of CD69 cells and ELISA for TNF-α secretion. RESULTS: TGF‑β treatment significantly suppressed MHC-I expression in HCC cells and reduced T-cell activation, leading to increased tumor cell proliferation and decreased HCC cell death in the co-culture systems. Mechanistically, TGF-β upregulated miR-23a-3p, which directly targeted IRF1 to inhibit MHC-I transcription. Overexpression of miR-23a-3p phenocopied TGF‑β‑induced suppression of IRF1 and MHC-I. CONCLUSIONS We reveal a novel immune escape mechanism of HCC, in which TGF‑β attenuates T cell-mediated antitumor immunity by suppressing MHC-I expression through the miR-23a-3p/IRF1 signaling axis.
Humans ; MicroRNAs/genetics* ; Carcinoma, Hepatocellular/metabolism* ; Liver Neoplasms/metabolism* ; Interferon Regulatory Factor-1/metabolism* ; Transforming Growth Factor beta/metabolism* ; Signal Transduction ; Histocompatibility Antigens Class I/metabolism* ; Cell Line, Tumor ; Tumor Escape ; Coculture Techniques

Objective To reveal the molecular mechanism by which nuclear epidermal growth factor receptor(nEGFR)synergistically regulates the expression of cell migration-inducing protein(CEMIP)by forming a complex with the transcription factor Yin Yang 1(YY1),and to investigate the biological functions of the nEGFR-YY1-CEMIP signaling axis in invasion of hepatocellular carcinoma(HCC).Methods After HCC cells were serum-starved for 24 h,the cells were treated with 100 ng/mL EGF.Thus,the cells were divided into a control group and EGF-treated groups at different time points.Nuclear expression and localization changes of EGFR were detected by Western blotting and immunofluorescence(IF).To investigate the interaction between nEGFR and YY1,their nuclear colocalization and interaction were examined by IF and co-immunoprecipitation(Co-IP),respectively.Transcriptional profiling was performed using RNA sequencing(RNA-seq)to identify differentially expressed genes at the genome-wide level.Combined with Gene Ontology(GO)functional enrichment analysis and transcription factor binding profiles via using the JASPAR database,CEMIP was identified as a candidate target gene.To validate the regulatory mechanism,the following experimental groups were established,Control,EGF,siYY1,and siYY1+EGF.The expression of CEMIP at protein and mRNA levels was detected by Western blotting and RT-qPCR.To elucidate the molecular mechanism of nEGFR/YY1 binding to the CEMIP promoter,the control and EGF-treated groups were established.Chromatin immunoprecipitation followed by quantitative PCR(ChIP-qPCR)was performed to assess the enrichment of nEGFR/YY1 at the CEMIP promoter region.Luciferase reporter assay was conducted following transfection with either wild-type EGFR(EGFR-WT),nuclear localization-deficient mutant(EGFR-dNLS),YY1 overexpression plasmid(YY1-OE),or dominant-negative YY1 mutant(YY1-DN)to evaluate changes in promoter activity.Subsequently,cell migration and invasion capabilities were evaluated using scratch wound healing assay and Transwell assay,while hyaluronic acid(HA)level was quantified by ELISA.The expression of matrix metalloproteinases(MMP2/9)was analyzed via Western blotting to assess the regulatory role of the nEGFR/YY1-CEMIP axis in the migration and invasion of HCC cells.By analyzing the CEMIP expression profiles in HCC patients from National Center for Biotechnology Information(NCBI)public databases,its potential association with tumor metastasis risk was validated.Results Western blotting and IF demonstrated that EGF treatment significantly induced nuclear translocation of EGFR,peaking at 30 min(P<0.001).Co-IP and IF assays indicated both physical interaction and nuclear co-localization between nEGFR and YY1.RNA-seq analysis identified CEMIP as a significantly differentially expressed gene.GO enrichment analysis revealed that CEMIP was significantly enriched in biological processes related to cell invasion promotion.JASPAR prediction identified conserved YY1 potential binding region within the CEMIP promoter region.Western blot and RT-qPCR analyses confirmed that EGF treatment up-regulated CEMIP at both protein and mRNA levels(P<0.05).Notably,YY1 knockdown significantly suppressed CEMIP expression,while exogenous EGF supplementation restored CEMIP level in YY1-deficient cells(P<0.05).ChIP-qPCR analysis demonstrated specific enrichment of the nEGFR/YY1 complex at the CEMIP promoter region,with EGF stimulation significantly enhancing its binding affinity(P<0.001).Luciferase reporter assay confirmed that nEGFR/YY1 robustly enhanced CEMIP promoter activity(P<0.01),while either the EGFR-dNLS or the YY1-DN substantially attenuated this transcriptional activation.Functional phenotyping showed that the nEGFR/YY1-CEMIP axis significantly enhanced the migration and invasion of HCC cells by promoting HA catabolism and up-regulating MMP2/9 expression(P<0.05).Analysis of NCBI datasets revealed that CEMIP expression was significantly up-regulated in HCC tumor tissues than adjacent normal tissues(P<0.001).Moreover,HCC patients with elevated CEMIP expression exhibited higher risk of metastasis(P<0.001).Conclusion nEGFR promotes HCC invasion by forming a transcriptional complex with YY1 to cooperatively activate CEMIP expression.

Objective To reveal the mechanism by which the programmed death-ligand 1(PD-L1)-protein tyrosine phosphatase 1B(PTP1B)-focal adhesion kinase(FAK)signaling axis promotes the progression of hepatocellular carcinoma(HCC)and elucidate its effector functions in HCC.Methods GEPIA database was used to plot a 10-year survival curve for PD-L1 and FAK expression levels in HCC patients.Immunohistochemical(IHC)staining was utilized to analyze the relative expression levels of PD-L1 and FAK phosphorylated at the Y397 site[p-FAK(Y397)]in HCC tissues,and the results were compared to those in the adjacent non-tumor tissues.Subsequently,endogenous PD-L1 expression was detected with Western blotting in HCC cell lines with low(SNU-387)and high(Hep3B)PD-L1 expression levels.After lentivirus-transduced SNU-387PDL1+and Hep3BPDL1-cells were constructed,the effect of high and low expression of PD-L1 on the expression of p-FAK(Y397)with Western blotting.To elucidate the functional mechanism of FAK in HCC,functional rescue experiments were performed by administering a FAK inhibitor to SNU-387PDL1+cells and a FAK activator to Hep3BPDL1-cells,combined with wound healing scratch assay,Transwell invasion assay,EdU proliferation assay,and colony formation assay to evaluate tumor malignant effects.The GENEMANIA database predicted functional interactions between protein tyrosine phosphatase 1B(PTP1B),PD-L1,and FAK.IHC staining was performed to analyze the correlation among PD-L1,PTP1B,and p-FAK(Y397)expression.Co-immunoprecipitation(Co-IP)and indirect immunofluorescence(IF)were applied to validate the interaction between PD-L1 and PTP1B.Western blotting was utilized to confirm the regulatory relationship between PD-L1 and PTP1B.In vitro PTP1B phosphatase activity assay measured the changes in PTP1B activity.Subsequently,Western blotting was used to screen cell lines with high endogenous PTP1B expression(SNU-387)and low endogenous PTP1B expression(Hep3B).Furthermore,Hep3BPTP1B+and SNU-387PTP1B-cell lines were generated,and then p-FAK(Y397)levels were then detected in these modified cell lines,and the aforementioned functional effect assays(migration,invasion,proliferation and colony formation)and rescue experiments were repeated.Furthermore,Western blotting was employed to detect changes in downstream signaling pathways following enhancement or attenuation of p-FAK(Y397)in SNU-387 and Hep3B cells.Results IHC staining revealed a positive correlation between PD-L1 and p-FAK(Y397)expression in HCC tissues(95%CI:1.065～3.801,P<0.01).In SNU-387PDL1+cells,PD-L1 overexpression significantly enhanced phosphorylation at the FAK Y397 site(P<0.01)and increased cell migration,invasion,proliferation,and colony formation capabilities(P<0.01),and these effects could be reversed by FAK inhibitor treatment(P<0.05).Conversely,in Hep3BPDL1-cells,PD-L1 knockdown significantly reduced FAK Y397 phosphorylation(P<0.01)and decreased cell migration,invasion,proliferation,and colony formation abilities(P<0.01),and these effects were restored by FAK activator treatment(P<0.05).IHC staining further showed a negative correlation between PTP1B expression and both PD-L1 and p-FAK(Y397)in HCC tissues(95%CI:1.886～3.514,P<0.05).Co-IP and IF assays confirmed a direct interaction between PD-L1 and PTP1B,with PD-L1 suppressing PTP1B expression level and reducing its activity(P<0.01).In SNU-387PTP1B-cells,PTP1B knockdown significantly increased FAK Y397 phosphorylation(P<0.01)and enhanced cell migration,invasion,proliferation,and colony formation(P<0.01),and these effects were reversed by FAK inhibitor(P<0.05).While in Hep3BPTP1B+cells,PTP1B overexpression significantly decreased FAK Y397 phosphorylation(P<0.01)and reduced cell migration,invasion,proliferation,and colony formation(P<0.01),and those effects were restored by FAK activator treatment(P<0.05).Furthermore,enhanced phosphorylation at the FAK Y397 site in SNU-387 cells activated downstream PI3K/AKT and MEK/ERK signaling pathways(P<0.01),whereas inhibition of FAK(Y397)phosphorylation in Hep3B cells attenuated the activation of these signaling pathways(P<0.01).Conclusion PD-L1 activates FAK by suppressing PTP1B,thereby promoting migration,invasion,and proliferation in HCC.

Polycystic ovary syndrome （PCOS）， a common reproductive endocrine disorder in women， is one of the leading causes of ovulatory infertility in women of reproductive age. Due to its heterogeneous etiology， complex symptoms， and challenging treatment， PCOS has become a focal point of research in gynecological and reproductive medicine globally. The pathogenesis of PCOS is complex and may involve regulatory mechanisms such as inflammatory responses， oxidative stress， and cellular autophagy. Crown-like structures （CLSs） refer to pro-inflammatory microenvironments formed by macrophages engulfing adipocytes. The inflammatory disorders induced by CLSs are one of the key factors contributing to the development of PCOS and its complications. Current studies have indicated that the obese status in PCOS accelerates the formation of CLSs， and the density of CLSs can predict the progression of metabolic disorders and influence the outcomes of various metabolic diseases. Traditional Chinese Medicine （TCM） offers the unique advantages of a holistic view， four diagnostic methods， and syndrome differentiation and treatment to ameliorate the symptoms and signs of PCOS through multiple levels， pathways， and targets. Although studies on the mechanisms of metabolic diseases and CLS formation have been reported in China and abroad， there is still a lack of literature on the correlation between CLSs and PCOS， as well as reviews on TCM interventions targeting CLSs for treating this disease. Therefore， this paper summarized the correlation between obese PCOS and CLSs and reviewed recent studies on TCM interventions based on CLS formation （adipose tissue-macrophage inflammatory crosstalk） in the treatment of obese PCOS， aiming to provide new research perspectives for the prevention and treatment of PCOS using TCM.