The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

Objective: To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment. Methods: From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated. Results: The average outdoor temperature during on site measurement was 4.00(0.20，7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05). Conclusions There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.

The theory of constitution in traditional Chinese medicine （TCM） has emerged as a new discipline in recent years. Constitution plays a vital role in the onset，progression，transformation，and prognosis of diseases. At present，some clinical scholars have adopted a novel diagnostic and treatment model of "constitution differentiation-disease identification-syndrome differentiation"，in which constitution is regarded as a core element throughout the diagnostic and therapeutic process. Constitution is closely associated with etiology，onset，pathogenesis，syndrome differentiation，and treatment. Against this background，the construction of animal models based on constitution holds far-reaching significance for advancing clinical research. This paper focuses on the construction and evaluation of rodent models with Qi-deficiency constitution，aiming to explore how to further induce Qi-deficiency syndromes and related disease states on the basis of Qi-deficiency constitution models，thereby developing an integrated animal model that embodies the trinity of "constitution-disease-syndrome". The establishment of this model not only provides a solid experimental foundation for the development of new therapies and drugs in TCM targeting specific constitutions，diseases，and syndromes，but also greatly promotes the modernization and scientific advancement of TCM theory. By comprehensively applying multidisciplinary technologies and methods，the study evaluates the model's validity，reliability，and practicality，with the aim of opening new avenues for future research in TCM and promoting the development of the field.

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.

Background: Malignant pleural effusion (MPE), a common complication of advanced cancers, is associated with poor prognosis and reduced quality of life. Although host–tumor interactions are known to drive MPE development, the associated immune dynamics during disease progression remain unclear. Using a Lewis lung carcinoma-induced MPE model in C57BL/6JNidfc mice, we systematically evaluated general parameters and immune cell changes at two-day intervals throughout disease progression. Results: The day of Lewis lung carcinoma cell injection into the pleural space was designated as day 0. By day 10 post-injection (p.i.), MPE-bearing mice exhibited ~ 10% body weight loss, marking the experimental endpoint. Pleural tumor mass and pleural effusion volume were minimal up to day 4 p.i. but increased sharply from day 6 onward.CD45⁺ immune cell counts rose over time, and days 6, 8, and 10 p.i. marked key stages of MPE progression. On day 6, B cells, T cells, and natural killer cells, but not macrophages and neutrophils, increased significantly compared to earlier timepoints. By day 8, all immune cell subsets except T cells exceeded day 6 levels, and at day 10, natural killer cell numbers declined while others continued to increase. Besides, the numbers of CD8⁺ T cells, Th1 cells, regulatory T cells, and M2 macrophages progressively increased from day 6 to 10. Based on these data, days 6 and 10 were defined as early and advanced MPE stages, respectively, with distinct immune phenotypes. In advanced MPE, CD8⁺ T cells displayed reduced IFN-γ, TNF-α, Granzyme B, Perforin, FasL, and Ki-67, but upregulated PD-1 and CTLA-4 relative to early stage. Similarly, Th1 cells showed decreased IFN-γ, TNF-α, and IL-2 production along with reduced Ki-67 expression. Advanced-stage M2 macrophages exhibited lower MHC-II levels and impaired phagocytosis, but higher PD-L1 and IL-10 production, while neutrophils showed reduced TNF-α release and phagocytic activity. Conclusions Our findings characterize the temporal immune dynamics associated with MPE progression in a mouse model, revealing a transition from an early immunostimulatory state to a late immunosuppressive state. This study enhances our understanding of MPE immunopathogenesis and provides a foundation for developing precise, stagespecific therapeutic strategies.

Cold ischemia-reperfusion injury (CIRI) is a major contributor to delayed graft function and long-term graft failure after kidney transplantation.Its pathogenesis involves multiple mechanisms, including energy metabolism disorders, oxidative stress and sterile inflammatory responses.Increasing evidence indicates that immune cells play a central regulatory role in the initiation and progression of CIRI.Damage-associated molecular patterns released during cold ischemia and reperfusion activate innate immunity, leading to the rapid recruitment of neutrophils, macrophages, dendritic cells and amplification of inflammatory cascades.Subsequently, adaptive immune cells, including T cells and B cells, are activated and further contribute to sustained inflammation, disruption of immune tolerance and graft injury.Through cytokine signaling, chemokine-mediated recruitment and antigen presentation, different immune cell subsets form a complex interactive network that ultimately determines the severity and outcome of CIRI.This review summarizes the roles and mechanisms of innate and adaptive immune cells in renal allograft CIRI, highlights their interconnections, and discusses emerging immune cell-targeted therapeutic strategies, aiming to provide a theoretical basis for improving clinical outcomes in kidney transplantation.

Objective : To investigate the brain microvascular tissue block culture method for extracting primary rat brain microvascular endothelial cells and identify its effect. Methods : Brain tissue from 4-week-old Sprague Dawley rats was screened, pre-digested and solidified to obtain brain microvascular segments. These segments were subsequently placed in a CO2incubator for primary culture. The target cells were identified by cell morphology and immunocytochemical staining for factor Ⅷ-related antigen. Results : After a 48-hour culture periodin vitro, the short spindle cells crawled out from around the brain microvascular segments. After 72 hours, island-like cell culsters formed. After 96 hours the clusters fused and the cells formed a typical monolayer, cobble stone-like, and mosaic arrangement. Factor Ⅷ-related antigen immunocytochemical staining showed that the cytoplasm of the cells appeared brown-red, indicating positive expression; DAB stained the nucleus, showing blue-dark. Conclusion The brain microvascular tissue block culture method can isolate and culture primary rat brain microvascular endothelial cells.

In recent years, with the large-scale use of plastic products, the degree of plastic pollution has increased, becoming a serious global problem. Microplastics and nanoplastics (MNPs), as emerging environmental pollutants, are widely found in organisms and the environment. These plastic particles enter the human body through 3 exposure pathways: breathing, the food chain’s bioaccumulation and transfer, and skin contact, thereby exerting toxic effects. The physical attributes of MNPs, including their shape, size, and surface characteristics, are not static but rather undergo dynamic transformations in response to changing environmental conditions. These changes can significantly influence their behavior and interactions within different ecosystems. When considering MNPs as carriers of chemicals, two primary mechanisms can be distinguished. (1) MNPs have the capacity to adsorb pollutants from their surrounding environment. These pollutants may encompass a wide range of substances, such as heavy metals, organic compounds, and other contaminants that are commonly found in water, soil, or air. (2) MNPs may also carry chemical agents that are artificially introduced during their commercial production process. For example, flame retardants and pigments are often added to plastics to enhance their performance or appearance. These artificially added chemicals can remain associated with MNPs throughout their lifecycle and may contribute to their overall toxicological impact. Cardiovascular diseases (CVDs) are a general term for diseases of the heart, arteries, veins, and capillaries, and are one of the main causes of disability and death. CVDs have higher incidence, mortality, and recurrence rates, and more complications, which reduce the quality of life and happiness of patients, the phenomenon is gradually showing a trend of early onset, therefore early-stage prevention for CVDs is of critical importance. This article reviews the properties of MNPs and their potential threats to the cardiovascular system, aiming to explore how MNPs cause CVDs through certain physiological effects, toxicity mechanisms, and related pathways. Our review primarily focus on elucidating several critical mechanisms through which MNPs exert their adverse effects. Specifically, the review examines how the enhancement of oxidative stress can trigger the expression of pro-inflammatory factors, which in turn leads to the formation of a chronic inflammatory microenvironment within biological systems. Additionally, MNPs possess the capacity to adsorb toxic metals and organic substances from their surroundings. Furthermore, the review summarizes that sewage irrigation and atmospheric deposition are significant factors contributing to the co-pollution of heavy metals with MNPs in environmental settings. The interaction between heavy metals and MNPs has been shown to have detrimental effects on agricultural productivity, as it can inhibit crop growth and simultaneously increase the absorption rate of heavy metals in plants. When these contaminated plants enter the food chain, the accumulated heavy metals can ultimately be ingested by humans. This process poses a potential risk for inducing acute coronary syndrome and other CVDs, thereby underscoring the importance of understanding and mitigating the impact of MNPs on human health. In addition, our review also gives examples of the long-term effects of MNPs on cardiovascular function and the adverse consequences such as arrhythmia and atherosclerosis, the limitations of the current studies of MNPs affecting cardiovascular system health and future directions are also explored.

Tumor has become a major disease that seriously threatens human health and life. The incidence rate is increasing year by year， yet the underlying mechanisms remain incompletely understood. Traditional Chinese medicine （TCM）， a treasure of the Chinese nation and a wealth for people worldwide， plays an important role in the treatment of tumors and has been receiving increasing attention both in China and abroad. In earlier work， based on the symptoms and metastatic characteristics of tumors， and drawing on the TCM theory of Yin and Yang in combination with modern medical research on tumors， the ''Yin deficiency-cancer correlation'' hypothesis was proposed. This hypothesis holds that ''Yin deficiency'' of the body is a major cause of malignant tumors， and that nourishing Yin to eliminate the pathogenic factor of Yin deficiency can treat cancer. By using Yin-nourishing drugs to tonify Yin deficiency， the occurrence and development of malignant tumors can be effectively prevented. Common anti-tumor Yin-nourishing drugs include Glehniae Radix， Lilii Bulbus， Ophiopogonis Radix， Liriopes Radix， Asparagi Radix， Dendrobii Caulis， Dendrobii Officinalis Caulis， Polygonati Odorati Rhizoma， Polygonati Rhizoma， Lycii Fructus， Mori Fructus， Ligustri Lucidi Fructus， Ecliptae Herba， Rehmanniae Radix， and Anemarrhenae Rhizoma. These drugs are generally sweet in flavor， cold and cool in nature， and moist in texture. They have the functions of nourishing Yin fluids， generating body fluids， and moistening dryness， and can also clear heat， being primarily indicated for Yin deficiency with depletion of body fluids. In view of the potential advantages and value of treating malignant tumors by tonifying Yin deficiency with Chinese medicine， this paper reviews recent studies on the anti-tumor effects of active components of Yin-nourishing drugs. It further summarizes their mechanisms of action in inducing apoptosis of tumor cells， arresting tumor cell proliferation， inhibiting tumor invasion， metastasis， and angiogenesis， enhancing and regulating immune function， augmenting the efficacy of chemotherapeutic drugs， and reversing tumor drug resistance. This study provides an objective overview of research progress on Yin-nourishing drugs in tumor treatment and offers new ideas for cancer therapy.