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.

Developing an intelligent agent for integrated traditional Chinese and western medicine diagnosis and treatment based on clinical practice guidelines is a key approach to advancing the standardization and intelligent deve-lopment of traditional Chinese medicine （TCM） and to supporting clinical decision-making. This paper argues for the necessity of building a knowledge base using guidelines as the sole data source， systematically identifies five core methodological challenges across the entire process， and proposes corresponding solutions. An ontology framework capable of distinguishing between TCM and western medicine concepts should be designed to address the difficulty of knowledge integration. A closed-loop "algorithm-based extraction-expert review" model is adopted to reduce data extraction errors. Expert consensus is incorporated to address decision gaps in specific clinical scenarios outlined in the guidelines， while a multi-stage， standardized output process for the AI system is established to eliminate model hallucinations. Furthermore， an evaluation framework reflecting clinical applicability is developed to enhance the AI system's accuracy and stability. Throughout the research process， it is essential to ensure the in-depth and continuous participation of multidisciplinary experts， strictly control the selection and quality evaluation of guidelines， and rely on the expert consensus method to address decision gaps in the knowledge base. Additionally， continuous validation and iterative optimization of intelligent agents are required to ensure the accuracy and stability of generated outputs. Limitations remain in the mechanisms for real-time knowledge synchronization in intelligent diagnostic and treatment systems， and further validation through large-scale real-world studies is warranted.

ObjectiveTo analyze the distribution characteristics of traditional Chinese medicine （TCM） constitution and factors associated with hyperuricemia （HUA） in the HUA population， providing a reference for persona-lized prevention and management of HUA. MethodsA cross-sectional study was conducted among individuals who had completed both serum uric acid （SUA） testing and TCM constitution identification during health examinations. According to SUA levels， participants were divided into a hyperuricemia group and a normal SUA group； according to the constitution identification results， participants were classified into balanced constitution， single biased constitution， and mixed constitution. The distribution characteristics of TCM constitution were compared between the two groups； participants in the hyperuricemia group were stratified by sex and age （≥18 years and ＜40 years， ≥40 years）， and the distribution characteristics of TCM constitution were compared across different sex and age groups. Logistic regression was used to analyze factors associated with HUA， with further stratified analyses by sex and age. ResultsA total of 10 920 participants were included， comprising 4170 cases （38.19%） in the hyperuricemia group and 6750 cases （61.81%） in the normal serum uric acid group. According to TCM constitution， there were 420 cases （3.85%） with balanced constitution， 6108 cases （55.93%） with single biased constitution， and 4392 cases （40.22%） with mixed constitution. In the hyperuricemia group， there were 80 cases （19.05%） with balanced constitution； 2275 cases （37.25%） with single biased constitution， among which damp-heat constitution （1205 cases， 52.97%）， phlegm-dampness constitution （500 cases， 21.98%）， and qi-stagnation constitution （181 cases， 7.96%） accounted for relatively high proportions； and 1815 cases （41.33%） with mixed constitution， among which mixed constitution involving phlegm-dampness （51.35%， 932 cases）， mixed constitution involving blood stasis （47.00%， 853 cases）， and mixed constitution involving damp-heat （41.21%， 748 cases） accounted for relatively high proportions. Logistic regression showed that qi-stagnation constitution （OR=1.68）， mixed constitution involving qi-stagnation （OR=1.53）， mixed constitution involving phlegm-dampness （OR=1.55）， and mixed constitution involving blood stasis （OR=1.50） were independently associated with HUA （P＜0.05）. Sex-stratified analysis showed that mixed constitution involving phlegm-dampness was positively associated with HUA risk in females； age-stratified analysis showed that， among individuals aged ≥18 and ＜40 years， qi-stagnation constitution， mixed constitution involving qi stagnation， and mixed constitution involving phlegm-dampness were positively associated with HUA risk （all P＜0.05）. ConclusionThe prevalence of HUA differs markedly by sex and age. Mixed constitution accounts for a higher proportion of HUA patients. Qi-stagnation constitution， mixed constitution involving qi stagnation， mixed constitution involving phlegm-dampness， and mixed constitution involving blood stasis are associated with HUA. Notably， the specific association of mixed constitution involving phlegm-dampness in females and qi-stagnation constitution in young adults is particularly prominent.

OBJECTIVE To observe the effects of measures dominated by intensifying link quality on prevention and control of carbapenem-resistant Klebsiella pneumoniae(CRKP)among general ICU patients.METHODS The conventional intervention measures were taken from Jan.2016 to Oct.2020,which was assigned as the pre-inter-vention period;the intervention measures dominated by enhancement of link quality were taken for the general ICU patients(the study group)from Nov.2020 to Oct.2021,which was set as the intervention period,the inter-vention measures were taken for the neurosurgery ICU patients and the surgery ICU patients(the control group).A two-group interrupted time series of a quasi-experimental study was analyzed,and whether or not the intervention measures could reduce the incidence of CRKP hospital-associated infection among the general ICU patients was evaluated.RESULTS A total of 23 713 case-times of patients from three ICU wards were enrolled in the study.The incidence of CRKP hospital-associated infection among the general ICU patients was 4.49 cases per thousand patient-days during intervention period,3.71 cases per thousand patient-days during pre-intervention pe-riod,and there was no significant difference(u=-1.412,P=0.079);it was lower than 7.06 cases per thousand patient-days during nearly one year before the intervention period(from Nov.2019 to Oct.2020),and there was significant difference(u=3.128,P=0.002).The result of analysis of the interrupted time series showed that there was significant difference in the slope change between the study group and the control group after the inter-vention(P=0.035),indicating that the intervention measures could reduce the incidence of CRKP hospital-associ-ated infection in the study group,and there was significant difference in the changing trend between the study group and the control group.CONCLUSIONS The prevention and control measures for CRKP dominated by the link quality management can effectively reduce the incidence of CRKP hospital-associated infection among the gen-eral ICU patients.The prevention and control strategies may provide reference for prevention and control of CRKP in ICUs of other medical institutions.

Due to advances in treatment methods, the survival rate and quality of life of cancer patients have been improved. Radiation-induced vascular injury (RIVI) is a common adverse reaction following radiotherapy, mainly manifested as capillary injury and atherosclerosis in the irradiated area. Radiotherapy induces RIVI in the cerebral vessels, carotid arteries, coronary arteries, and large arteries through mechanisms such as endothelial cell injury and senescence, oxidative stress and inflammatory responses, angiogenesis, and vascular remodeling. In this review research progress in the pathological features, pathophysiological mechanisms, clinical manifestations, prevention and treatment strategies of RIVI was summarized, aiming to provide insights for future research on RIVI.

Natural human leukocyte antigen (HLA) antibodies refer to preformed antibodies present in the body that are not induced by prior exposure to allogeneic HLA antigens. In healthy individuals without a sensitization history, the detection rate of natural HLA antibodies is approximately 20%-29% when using screening assays with low sensitivity, and can reach up to 63% when more sensitive HLA-specific detection methods are employed. It is therefore inferred that natural HLA antibodies may also be present in transplant candidates with a similar prevalence. This review comprehensively discusses the potential mechanisms of natural HLA antibody generation, the characteristics of the recognized epitopes, detection techniques, clinical relevance in transplantation, their potential to confound therapeutic decisions, and approaches to distinguish and mitigate their impact. The goal is to raise clinician awareness of the objective existence of natural HLA antibodies, provide guidance on evaluating their association with allograft rejection, and inform appropriate clinical management strategies when encountering natural HLA antibody-positive transplant candidates.

OBJECTIVE: Huachansu injection (HCSI), a promising anti-cancer Chinese medicine injection, has been reported to have the potential for reducing the toxicity of chemotherapy and improving the quality of life for colorectal cancer (CRC) patients. The objective of this study is to explore the synergistic and detoxifying effects of HCSI when used in combination with irinotecan (CPT-11). METHODS: To investigate the effect of HCSI on anti-CRC efficacy and intestinal toxicity of CPT-11, we measured changes in the biological behavior of LoVo cells in vitro, and anti-tumor effects in LoVo cell xenograft nude mice models in vivo. Meanwhile, the effect of HCSI on intestinal toxicity and the uridine diphosphate-glucuronosyltransferase 1A1 (UGT1A1) expression was investigated in the CPT-11-induced colitis mouse model. Subsequently, we measured the effect of HCSI and its 13 constituent bufadienolides on the expression of UGT1A1 and organic anion transporting polypeptides 1B3 (OATP1B3) in HepG2 cells. RESULTS: The combination index (CI) results showed that the combination of HCSI and CPT-11 exhibited a synergistic effect (CI < 1), which significantly suppressing the LoVo cell migration, enhancing G2/M and S phase arrest, and inhibiting tumor growth in vivo. Additionally, the damage to intestinal tissues was attenuated by HCSI in CPT-11-induced colitis model, while the increased expression of UGT1A1 in HepG2 cells and in mouse was observed. CONCLUSION The co-therapy with HCSI alleviated the intestinal toxicity induced by CPT-11 and exerted an enhanced anti-CRC effect. The detoxifying mechanism may be related to the increased expression of UGT1A1 and OATP1B3 by HCSI and its bufadienolides components. The findings of this study may serve as a theoretical insights and strategies to improve CRC patient outcomes. Please cite this article as: Jiang B, Meng ZY, Hu YJ, Chen JJ, Zong L, Xu LY, Zhang XQ, Zhang JX, Han YL. Huachansu injection enhances anti-colorectal cancer efficacy of irinotecan and alleviates its induced intestinal toxicity through upregulating UGT1A1-OATP1B3 expression in vitro and in vivo. J Integr Med. 2025; 23(5):576-590.
Irinotecan/therapeutic use* ; Animals ; Glucuronosyltransferase/genetics* ; Humans ; Colorectal Neoplasms/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Mice, Nude ; Mice ; Up-Regulation/drug effects* ; Male ; Xenograft Model Antitumor Assays ; Mice, Inbred BALB C ; Hep G2 Cells ; Cell Line, Tumor ; Intestines/drug effects* ; Amphibian Venoms

OBJECTIVE: To explore and quantify the association of hot night exposure during the sperm development period (0-90 lag days) with semen quality. METHODS: A total of 6,640 male sperm donors from 6 human sperm banks in China during 2014-2020 were recruited in this multicenter study. Two indices (i.e., hot night excess [HNE] and hot night duration [HND]) were used to estimate the heat intensity and duration during nighttime. Linear mixed models were used to examine the association between hot nights and semen quality parameters. RESULTS: The exposure-response relationship revealed that HNE and HND during 0-90 days before semen collection had a significantly inverse association with sperm motility. Specifically, a 1 °C increase in HNE was associated with decreased sperm progressive motility of 0.0090 (95% confidence interval [ CI]: -0.0147, -0.0033) and decreased total motility of 0.0094 (95% CI: -0.0160, -0.0029). HND was significantly associated with reduced sperm progressive motility and total motility of 0.0021 (95% CI: -0.0040, -0.0003) and 0.0023 (95% CI: -0.0043, -0.0002), respectively. Consistent results were observed at different temperature thresholds on hot nights. CONCLUSION Our findings highlight the need to mitigate nocturnal heat exposure during spermatogenesis to maintain optimal semen quality.
Humans ; Male ; Semen Analysis ; Adult ; Sperm Motility ; Hot Temperature/adverse effects* ; China ; Middle Aged ; Spermatozoa/physiology* ; Young Adult

A subset of patients with multiple myeloma(MM)present with reduced serum vitamin B12 levels at initial diagnosis;however,its clinical significance and underlying mechanisms remain unclear.Vitamin B12 plays a crucial role in hematopoiesis and immune regulation.This study aims to elucidate its association with extramedullary diseases,immune function,and prognosis in MM patients.A retrospec-tive analysis was conducted of 92 newly diagnosed MM patients,who received treatment at the Second Af-filiated Hospital of Soochow University between January 2020 and December 2023.Patients were classi-fied into a low vitamin B12 group(n=37)and a normal vitamin B12 group(n=55)based on their ser-um vitamin B12 levels.The findings revealed that the incidence of extramedullary infiltration was signifi-cantly higher in the low vitamin B12 group than in the normal group(26.5％vs.17.0％,P=0.031).Survival analysis demonstrated that patients with low vitamin B12 levels had significantly shorter overall survival(OS)and progression-free survival(PFS)(OS:P=0.0123;PFS:P=0.0136).Additionally,these patients showed a decreasing trend in peripheral blood total T cell,CD4+T cell,and CD8+T cell counts,with serum vitamin B12 levels showing a significant positive correlation with the total T cell count(R=0.2717,P=0.0135)and CD4+T cell count(R=0.2175,P=0.0497).In conclusion,reduced serum vitamin B12 levels at initial diagnosis are significantly associated with poor prognosis in MM pa-tients and may serve as a potential prognostic biomarker.Furthermore,vitamin B12 deficiency may con-tribute to immune dysfunction,particularly impaired T cell immunity,and a higher incidence of extr-amedullary diseases.