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.

ObjectiveBased on whole-animal mass spectrometry imaging technology， spatial metabolomics was used to characterize in situ the metabolic alteration patterns in the lungs and brain of a rat model of lung heat-induced cough and asthma， as well as after treatment with Xiebai San. MethodsNine Sprague-Dawley （SD） rats were randomly divided into a blank group （physiological saline）， a model group （physiological saline）， and a Xiebai San group （9 g·kg^-1）， with three rats in each group. The model group and the Xiebai San group were both induced using lipopolysaccharide-ovalbumin （LPS-OVA） to establish an asthma rat model. After treatment with Xiebai San， the animals were euthanized on day 21 and rapidly frozen in liquid nitrogen to preserve morphology. Whole-animal tissue sections were prepared using a cryomicrotome， and imaging was performed using the Air-flow-assisted Desorption Electrospray Ionization Mass Spectrometry Imaging （AFADESI-MSI） platform. Based on the corresponding optical images， ion data of metabolites from the lung and brain tissues of each group were extracted. Differential metabolites were analyzed using SIMCA and GraphPad Prism 9.0 software. Metabolites were identified using the HMDB （https：//hmdb.ca/） and LipidMAPS^® （https：//www.lipidmaps.org/） databases， and metabolic changes in the lungs and brain were analyzed. ResultsMass spectrometry imaging showed that， after Xiebai San intervention， components such as neoglycyrrhizin and glycyrrhizin from Glycyrrhizae Radix et Rhizoma， as well as palmitamide from Lycii Cortex， were significantly distributed in the lung and brain tissues of rats. Lung analysis indicated that substances with anti-inflammatory effects， such as citric acid， were significantly decreased （P0.01）， while lipid metabolites such as lysophosphatidylethanolamine （LPE 17：1）， LPE （22：4）， and LPE （19：0） （P0.01） were significantly increased， showing a marked inflammatory response in the model group. After Xiebai San intervention， these conditions were notably improved. Analysis of metabolic changes in brain tissue showed that， compared with the blank group， amino acid and fatty acid metabolic pathways in the model group exhibited restricted alterations. Among them， levels of aspartic acid， glutamic acid， fatty acid （FA 18：5）， hydroxy fatty acids （FAHFA 36：0；O）， FA （6：1；O6）， and LPE （18：1） increased， whereas FA （16：0） and FA （20：4） significantly decreased. Administration of Xiebai San improved these metabolic abnormalities in the brain. Systematic analysis of lung and brain metabolic changes in rats with lung heat-induced cough and asthma showed that antioxidant unsaturated phospholipid substances were significantly decreased in the model group， suggesting oxidative stress and inflammation-related lung-brain axis responses after the onset of lung heat-induced cough and asthma. ConclusionUsing whole-animal mass spectrometry imaging combined with spatial metabolomics revealed the in vivo distribution of Xiebai San constituents， characterized the metabolic alterations in the lungs and brain caused by lung heat-induced cough and asthma， and systematically demonstrated the lung-brain axis inflammatory responses and the regulatory effects of Xiebai San. These findings provide valuable information for the study of Chinese medicine in lung heat-induced cough and asthma.

ObjectiveBased on whole-animal mass spectrometry imaging technology， spatial metabolomics was used to characterize in situ the metabolic alteration patterns in the lungs and brain of a rat model of lung heat-induced cough and asthma， as well as after treatment with Xiebai San. MethodsNine Sprague-Dawley （SD） rats were randomly divided into a blank group （physiological saline）， a model group （physiological saline）， and a Xiebai San group （9 g·kg^-1）， with three rats in each group. The model group and the Xiebai San group were both induced using lipopolysaccharide-ovalbumin （LPS-OVA） to establish an asthma rat model. After treatment with Xiebai San， the animals were euthanized on day 21 and rapidly frozen in liquid nitrogen to preserve morphology. Whole-animal tissue sections were prepared using a cryomicrotome， and imaging was performed using the Air-flow-assisted Desorption Electrospray Ionization Mass Spectrometry Imaging （AFADESI-MSI） platform. Based on the corresponding optical images， ion data of metabolites from the lung and brain tissues of each group were extracted. Differential metabolites were analyzed using SIMCA and GraphPad Prism 9.0 software. Metabolites were identified using the HMDB （https：//hmdb.ca/） and LipidMAPS^® （https：//www.lipidmaps.org/） databases， and metabolic changes in the lungs and brain were analyzed. ResultsMass spectrometry imaging showed that， after Xiebai San intervention， components such as neoglycyrrhizin and glycyrrhizin from Glycyrrhizae Radix et Rhizoma， as well as palmitamide from Lycii Cortex， were significantly distributed in the lung and brain tissues of rats. Lung analysis indicated that substances with anti-inflammatory effects， such as citric acid， were significantly decreased （P0.01）， while lipid metabolites such as lysophosphatidylethanolamine （LPE 17：1）， LPE （22：4）， and LPE （19：0） （P0.01） were significantly increased， showing a marked inflammatory response in the model group. After Xiebai San intervention， these conditions were notably improved. Analysis of metabolic changes in brain tissue showed that， compared with the blank group， amino acid and fatty acid metabolic pathways in the model group exhibited restricted alterations. Among them， levels of aspartic acid， glutamic acid， fatty acid （FA 18：5）， hydroxy fatty acids （FAHFA 36：0；O）， FA （6：1；O6）， and LPE （18：1） increased， whereas FA （16：0） and FA （20：4） significantly decreased. Administration of Xiebai San improved these metabolic abnormalities in the brain. Systematic analysis of lung and brain metabolic changes in rats with lung heat-induced cough and asthma showed that antioxidant unsaturated phospholipid substances were significantly decreased in the model group， suggesting oxidative stress and inflammation-related lung-brain axis responses after the onset of lung heat-induced cough and asthma. ConclusionUsing whole-animal mass spectrometry imaging combined with spatial metabolomics revealed the in vivo distribution of Xiebai San constituents， characterized the metabolic alterations in the lungs and brain caused by lung heat-induced cough and asthma， and systematically demonstrated the lung-brain axis inflammatory responses and the regulatory effects of Xiebai San. These findings provide valuable information for the study of Chinese medicine in lung heat-induced cough and asthma.

As a pivotal strategy to alleviate the shortage of organ donors, xenotransplantation has achieved remarkable advances in both pre-clinical and clinical studies in recent years, driven by continuous optimization of gene modification techniques and immunosuppressive regimens. Nevertheless, clinical translation still confronts formidable challenges, including rejection and heightened infection risks, which severely compromise long-term graft survival. Consequently, the role of immunosuppressive regimens in xenotransplantation has become increasingly prominent. This article summarizes the mechanisms underlying xenogeneic immune rejection, the latest developments in immunosuppressive regimens, cutting-edge strategies for inducing immune tolerance and the major hurdles facing clinical xenotransplantation. It delves into potential optimization strategies and directions for future clinical research, aiming to offer theoretical insights and practical guidance for the safe and effective application of clinical xenotransplantation.

Objective: To investigate the trend in disease burden of asthma attributable to tobacco in China from 1990 to 2021, so as to provide the basis for improving intervention measures of asthma. Methods: Data on asthma-related mortality and disability-adjusted life years (DALY) attributable to tobacco among adults aged ≥30 years in China from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. Age-standardized mortality and age-standardized DALY rate were calculated using the GBD world standard population structure to analyze the tobacco-attributable asthma burden. The average annual percent change (AAPC) was employed to evaluate temporal trends in the age-standardized mortality and DALY rate from 1990 to 2021. Results: In China, the age-standardized mortality and age-standardized DALY rate of asthma attributable to tobacco decreased from 0.73/100 000 and 22.20/100 000 in 1990 to 0.17/100 000 and 6.64/100 000 in 2021, showing downward trends (AAPC=-4.603% and -3.888%, both P<0.05). Among males, the tobacco-attributable age-standardized mortality and age-standardized DALY rate declined from 1.44/100 000 and 41.05/100 000 in 1990 to 0.36/100 000 and 12.79/100 000 in 2021 (AAPC=-4.369% and -3.810%, both P<0.05). Among females, the corresponding rates decreased from 0.21/105 and 5.37/105 to 0.03/105 and 1.08/105 (AAPC=-6.074% and -5.074%, both P<0.05). In 2021, males had higher tobacco-attributable age-standardized mortality and age-standardized DALY rate for asthma than females. Both the mortality and DALY rate of asthma attributable to tobacco increased with age, peaking in the age group ≥80 years at 7.84/100 000 and 112.07/100 000, respectively. Conclusion From 1990 to 2021, the disease burden of asthma attributable to tobacco showed a declining trend in China, with males and elderly population aged ≥80 years bearing a relatively heavier disease burden.

Metabolic reprogramming， as one of the core hallmarks of malignant tumors， plays a key role in the occurrence， development and treatment of breast cancer （BC）. Abnormal changes in glucose metabolism， amino acid metabolism， lipid metabolism， as well as the tricarboxylic acid （TCA） cycle and oxidative phosphorylation （OXPHOS） pathways significantly influence the pathogenesis and progression of BC. Studies have shown that various active components of traditional Chinese medicine （TCM） （such as berberine， matrine， quercetin， curcumin， etc.） and their compound formulations （e.g. Xihuang pill， Danzhi xiaoyao powder， Yanghe decoction， etc.） can inhibit the proliferation and migration of BC cells and induce apoptosis by regulating key metabolic pathways such as glycolysis， lipid synthesis， and amino acid metabolism. TCM demonstrates multi-target and holistic regulatory advantages in intervening in BC metabolic reprogramming， showing significant potential in modulating key molecules like hypoxia inducible factor-1α， hexokinase-2， pyruvate kinase M2， lactate dehydrogenase A， glucose transporter-1， fatty acid synthase， and signaling pathways such as AKT/mTOR. However， current researches still focus predominantly on glucose metabolism， with insufficient mechanistic studies on lipid metabolism， amino acid metabolism， the TCA cycle， and OXPHOS. The precise targets， molecular mechanisms， and clinical translation value of these interventions require further validation and clarification through more high-quality experimental studies and clinical trials.

The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis （VMC）. It has the functions of tonifying Qi， nourishing the heart，calming the mind， and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However，the understanding of its efficacy evidence， advantageous aspects， dosage and administration， and medication safety remains insufficient in clinical practice. Therefore，the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid （hereinafter referred to as consensus） was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine，successively completing multiple tasks such as the consensus project initiation，determination of clinical problems，evidence search and evaluation，formation of recommendation opinions and consensus suggestions，solicitation of opinions，peer review， submission for review and release， and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions，clarifying the clinical positioning，efficacy advantages，syndrome differentiation，dosage and administration，combination therapy，timing of medication，adverse reactions，contraindications， and precautions of Qidong Yixin oral liquid，indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease，providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23， 2024. Standard number：GSCACM-376-2024.

ObjectiveTo explore the mechanism by which Yinchenhao Tang intervenes in α-naphthylisothiocyanate （ANIT）-induced cholestatic liver injury by regulating the Takeda G-protein-coupled receptor 5（TGR5）/NOD-like receptor protein 3（NLRP3）/cysteine aspartate-specific protease-1 （Caspase-1） pyroptosis signaling pathway. MethodsForty male Wistar rats were randomly assigned into blank， model， ursodeoxycholic acid， and Yinchenhao Tang groups. Except the blank group， other groups were treated with ANIT dissolved in olive oil for the modeling of cholestatic liver injury. Ursodeoxycholic acid （0.1 g·kg^-1） and Yinchenhao Tang （9.23 g·kg^-1） were administered by gavage. The blank group and the model group were administrated with the same amount of pure water， once a day for 3 days. The blood and liver tissue samples were collected， and the serum levels of liver function indicators were measured by an automatic biochemical analyzer. Hematoxylin-eosin staining was employed to observe the pathological changes of the liver. The levels of interleukin （IL）-1β and IL-18 in the liver tissue were determined by ELISA. The mRNA levels of IL-1β， IL-18， TGR5， NLRP3， apoptosis-associated speck-like protein containing a CARD （ASC）， Caspase-1， and GSDMD in the liver tissue were assessed by Real-time PCR. The protein levels of TGR5， NLRP3， ASC， Caspase-1， and GSDMD in the liver tissue were determined by Western blot. ResultsCompared with the blank group， the model group showed elevated levels of alanine amino-transferase （ALT）， aspartate transferase （AST）， alkaline phosphatase （ALP）， total bile acid （TBA）， and total bilirubin （TBil） in the serum （P<0.01）， inflammatory cell infiltration， hepatocyte swelling， and bile duct epithelial cell proliferation in the liver， raised levels of IL-1β and IL-18 in the liver tissue （P<0.01）， down-regulated mRNA and protein levels of TGR5 （P<0.01）， up-regulated mRNA levels of IL-18 （P<0.01）， ASC （P<0.01）， Caspase-1 （P<0.01）， GSDMD （P<0.01）， IL-1β （P<0.05）， and NLRP3 （P<0.05）， and up-regulated protein levels of NLRP3 （P<0.01）， ASC （P<0.01）， Caspase-1 （P<0.01）， and GSDMD （P<0.05）. Compared with the model group， the ursodeoxycholic acid group showed declined levels of AST （P<0.01）， TBA （P<0.01）， TBil （P<0.01）， and ALT （P<0.05） in the serum， lowered levels of IL-1β and IL-18 in the liver tissue （P<0.01）， down-regulated mRNA levels of NLRP3 （P<0.01）， Caspase-1 （P<0.01）， GSDMD （P<0.01）， IL-1β （P<0.05）， IL-18 （P<0.05）， and ASC （P<0.05）， up-regulated mRNA and protein levels of TGR5 （P<0.05）， and down-regulated protein levels of NLRP3， ASC， Caspase-1， and GSDMD （P<0.05）. Compared with the model group， the Yinchenhao Tang group showed lowered levels of ALT， AST， ALP， TBA， and TBil in the serum （P<0.01）， declined levels of IL-1β and IL-18 in the liver tissue （P<0.01）， down-regulated mRNA levels of IL-1β （P<0.01）， NLRP3 （P<0.01）， ASC （P<0.01）， Caspase-1 （P<0.01）， GSDMD （P<0.01）， and IL-18 （P<0.05）， up-regulated mRNA and protein levels of TGR5 （P<0.01）， and down-regulated protein levels of Caspase-1 and GSDMD （P<0.05）. The liver tissue of the administration groups showed reduced infiltration of inflammatory cells， reduced swelling of hepatocytes， and alleviated proliferation of bile duct epithelial cells. ConclusionYinchenhao Tang can ameliorate ANIT-induced cholestatic liver injury by regulating the hepatocyte pyroptosis mediated by the TGR5/NLRP3/Caspase-1 signaling pathway.

ObjectiveThis study aims to investigate the mechanism of Yinchenhao Tang （YCHT） in regulating macrophage polarization to alleviate cholestatic liver injury，focusing on the TLR4/NF-κB signaling pathway as the entry point. MethodsCholestasis was induced in Wistar rats through a single gavage of 100 mg·kg^-1 α-naphthyl isothiocyanate （ANIT） dissolved in olive oil. The animals were randomly divided into four groups：Model group，YCHT group，ursodeoxycholic acid （UDCA） group （n=10），and a blank group （n=10） that received only 5 mL·kg^-1 olive oil. The YCHT group received 9.23 g·kg^-1·day^-1 of YCHT by gavage，and the UDCA group was treated with 0.1 g·kg^-1·day^-1 of UDCA suspension. Both the normal and model groups were given an equal volume of normal saline，all for three consecutive days. Serum liver function was assessed using an automatic biochemical analyzer. Hematoxylin-eosin （HE） staining was used to observe liver tissue morphology. Levels of tumor necrosis factor-α （TNF-α），interleukin-1β （IL-1β），transforming growth factor-β （TGF-β），and interleukin-10 （IL-10） were quantified in liver homogenate supernatants via enzyme-linked immunosorbent assay （ELISA）. Western blot analysis measured the relative protein expression of Toll-like receptor 4 （TLR4），nuclear factor-κB （NF-κB），CD206，inducible nitric oxide synthase （iNOS）， CD86，and arginase-1 （Arg-1）. The relative mRNA expression of TLR4/NF-κB，CD206，iNOS，CD86，and Arg-1 in liver tissue was evaluated using real-time quantitative PCR. ResultsCompared with the normal group，the model group exhibited significantly elevated levels of alkaline phosphatase （ALP），total bile acid （TBA），total bilirubin （TBil），aspartate aminotransferase （AST），and alanine aminotransferase （ALT） （P<0.01）. There was a portal area expansion and pronounced inflammatory cell infiltration. The expression of pro-inflammatory markers TNF-α and IL-1β was significantly upregulated （P<0.01），and macrophage markers CD86 and CD206 showed positive expression. Protein and mRNA expressions of iNOS and CD86 were significantly elevated （P<0.01）. The mRNA and protein expressions of the related pathway molecules TLR4 and NF-κB were significantly increased （P<0.01）. Compared with those in the model group， the liver function indicators in the YCHT group showed significant decreases （P<0.05， P<0.01）. The bile duct hyperplasia was significantly alleviated， and the tissue structure became more orderly. The levels of IL-1β and TNF-α were significantly reduced （P<0.01）， while the expression levels of IL-10 and TGF-β significantly increased （P<0.05， P<0.01）. The expression of CD86 significantly decreased （P<0.01）， and the expression of CD206 significantly increased （P<0.01）. The protein and mRNA expressions of iNOS and CD86 significantly decreased （P<0.01）， and those of Arg-1 significantly increased （P<0.01）. The protein and mRNA expressions of CD206 significantly increased （P<0.05， P<0.01）， and the mRNA and protein expressions of related pathway molecules TLR4 and NF-κB significantly decreased （P<0.01）. ConclusionYCHT ameliorates cholestatic liver injury in rats by improving bile metabolism，reducing bile duct dilatation，and mitigating inflammation. These effects are achieved through the inhibition of M1 macrophage activation and the promotion of M2 macrophage polarization，likely via modulation of the TLR4/NF-κB signaling pathway.