ObjectiveTo investigate the recurrence of ischemic stroke (IS) and to analyze the association between four indices of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) and the risk of IS recurrence by analyzing the follow-up data related to IS in the community-based natural population of Songjiang District, Shanghai, so as to provide a scientific basis for improving the prognosis of stroke patients in the community and controlling IS recurrence. MethodsA prospective follow-up study was conducted among the IS patients in the community-based cohort population, collecting data about patient’s age, gender, disease history, biochemical indicators, and etc. Cox regression model and restricted cubic spline model were used to analyze the relationship between different levels of plasma lipids and the recurrence of IS in these patients. ResultsA total of 1 368 patients with IS were included. The total follow-up duration was 7 171.46 person-years, with a median follow-up time of 6.24 years. There were 420 cases of IS recurrence, resulting in a cumulative recurrence rate of 30.70%. The results of multivariate Cox regression analysis showed that the recurrence risk of IS was reduced when the baseline TC and LDL-C levels of IS patients were in the ranges of 4.65‒5.67 mmol·L^-1 and 2.52‒3.46 mmol·L^-1, respectively. The results of restricted cubic spline analysis showed a U-shaped relationship between baseline TC and LDL-C levels and the recurrence risk in IS patients. ConclusionThe cumulative recurrence rate of patients with IS in the community of Songjiang District in Shanghai is high, and the levels of TC and LDL-C at baseline survey are correlated with the recurrence of IS in these patients. It is suggested to pay more attention to the levels of LDL-C and TC in patients with IS, so as to improve the prognosis.

Objective: To identify the phenotypes, antibodies and explore the molecular mechanisms of a patient who carries antibodies to RBC high-frequency antigens and his family members. Methods: The antibody identification test was performed for the proband by serological methods, and targeted NGS was subsequently used to detect mutations that occurred in blood group genes. Blood samples were collected from the proband and his family members. Sanger sequencing was used to verify the mutation of the XK gene. The expression of Kell blood group antigens was detected by serological methods and flow cytometry. K cells were used to detect the antibody specificity of the proband. The morphology of red blood cells was detected by the scanning electron microscopy. The serum creatine kinase levels of the proband and his family members were analyzed by colorimetric methods. Results: The results of the antibody identification test suggested that the proband might have antibodies to high-frequency antigens. NGS results suggested a homozygous mutation (c. 107G>A) in exon 1 of the XK gene in the proband, resulting in a truncated XK protein. The Sanger sequencing results of the proband were consistent with the NGS results, and the mutation was not found in other family members. The expression of Kell blood group antigens of the proband was not found by serological methods and flow cytometry. The results of the antibody specificity test showed that the proband had anti-Km antibodies. Spike-like changes were identified on red blood cells, and serum creatine kinase level was elevated in the proband. Conclusion: In this study, the McLeod phenotype caused by homozygous mutation (c. 107G>A) of XK gene was identified in Chinese individuals for the first time by the phenotype and molecular mechanism studies. The results of genotyping and phenotyping suggested that the McLeod phenotype caused by the mutation was compatible with the phenotypes of McLeod and K .

OBJECTIVE: To observe the effect of transcutaneous electrical acupoint stimulation (TEAS) on postoperative pain in patients undergoing modified radical mastectomy for breast cancer. METHODS: A total of 140 female patients scheduled for unilateral modified radical mastectomy for breast cancer undergoing general anesthesia were randomized into a TEAS group (70 cases) and a sham TEAS group (70 cases, 2 cases dropped out). Patients in both groups received TEAS or sham TEAS at bilateral Neiguan (PC6), Zusanli (ST36), and Danzhong (CV17), respectively, from 30 min before anesthesia induction until the end of surgery, and on 1st, 2nd, and 3rd days after surgery for 30 min a time, once a day. On 1st, 2nd, and 3rd days after surgery, the pain visual analogue scale (VAS) score was observed; on 3, 6, 12 months after surgery, the incidence rate of chronic pain was observed; before surgery, and on 1st, 3rd, and 7th days after surgery, the serum levels of tumor necrosis factor (TNF)-α, interleukin (IL)-6 and IL-10 were detected; the number of analgesia pump press, rescue analgesia, and the occurrence of adverse reaction after surgery were recorded in the two groups. RESULTS: In the TEAS group, the VAS scores on 1st and 2nd days after surgery, and the incidence rates of chronic pain on 3 and 6 months after surgery were lower than those in the sham TEAS group (P<0.05). On 1st, 3rd, and 7th days after surgery, the serum levels of TNF-α, IL-6, and IL-10 were increased compared with those before surgery in both groups (P<0.05, P<0.01); the above indexes in the TEAS group were lower than those in the sham TEAS group (P<0.05). The number of analgesia pump press and the incidence rate of rescue analgesia after surgery in the TEAS group were lower than those in the sham TEAS group (P<0.05). There was no statistically significant difference in the incidence of adverse reactions after surgery between the two groups (P>0.05). CONCLUSION TEAS can effectively improve both the postoperative acute pain and chronic pain in patients undergoing modified radical mastectomy for breast cancer, the mechanism may relate to inhibiting the inflammatory reaction.
Humans ; Female ; Acupuncture Points ; Pain, Postoperative/blood* ; Middle Aged ; Breast Neoplasms/surgery* ; Adult ; Transcutaneous Electric Nerve Stimulation ; Mastectomy, Modified Radical/adverse effects* ; Interleukin-6/blood* ; Tumor Necrosis Factor-alpha/blood* ; Interleukin-10/blood* ; Aged

BACKGROUND: Immunosuppression is closely related to the pathogenesis of sepsis, but the underlying mechanisms have not yet been fully elucidated. In this study, we aimed to examine the role of the Sterile Alpha Motif, Src Homology 3 domain and nuclear localization signal 1 (SAMSN1) in sepsis and elucidate its potential molecular mechanism in sepsis induced immunosuppression. METHODS: RNA sequencing databases were used to validate SAMSN1 expression in sepsis. The impact of SAMSN1 on sepsis was verified using gene knockout mice. Flow cytometry was employed to delineate how SAMSN1 affects immunity in sepsis, focusing on immune cell types and T cell functions. Clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)-mediated gene editing in RAW264.7 macrophages enabled interrogation of SAMSN1 's regulatory effects on essential macrophage functions, including cell proliferation and phagocytic capacity. The mechanism of SAMSN1 in the interaction between macrophages and T cells was investigated using the RAW264.7 cell line and primary cell lines. RESULTS: SAMSN1 expression was significantly increased in patients with sepsis and was positively correlated with sepsis mortality. Genetic deletion of Samsn1 in murine sepsis model improved T cell survival, elevated T cell cytolytic activity, and activated T cell signaling transduction. Concurrently, Samsn1 knockout augmented macrophage proliferation capacity and phagocytic efficiency. In macrophage, SAMSN1 binds to Kelch-like epichlorohydrin-associated protein 1 (KEAP1), causing nuclear factor erythroid 2-related factor 2 (NRF2) to dissociate from the KEAP1-NRF2 complex and translocate into the nucleus. This promotes the transcription of the coinhibitory molecules CD48/CD86/carcinoembryonic antigen related cell adhesion molecule 1 (CEACAM1), which bind to their corresponding receptors natural killer cell receptor 2B4/CD152/T cell immunoglobulin and mucin domain-containing protein 3 (TIM3) on the surface of T cells, inducing T-cell exhaustion. CONCLUSIONS SAMSN1 deletion augmented adaptive T cell immunity and macrophage phagocytic-proliferative dual function. Furthermore, it mediates the KEAP1-NRF2 axis, which affects the expression of coinhibitory molecules on macrophages, leading to T-cell exhaustion. This novel immunosuppression mechanism potentially provides a candidate molecular target for sepsis immunotherapy.
Animals ; NF-E2-Related Factor 2/metabolism* ; Mice ; Macrophages/immunology* ; Sepsis/metabolism* ; Kelch-Like ECH-Associated Protein 1/genetics* ; T-Lymphocytes/immunology* ; Humans ; Signal Transduction/physiology* ; RAW 264.7 Cells ; Mice, Knockout ; Mice, Inbred C57BL ; Male ; Flow Cytometry ; T-Cell Exhaustion

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

This article systematically reviews the characteristics and trends of the writing, editing, publication and promotion of physiology textbooks in China from the late 19th century to the present, focusing on the introduction, development and innovation of Chinese physiology textbooks. The development of physiology textbooks in China is divided into four main stages: the introduction and initial development of physiology textbooks from the late 19th century to 1925; the localization and diversification of textbooks from 1926 to 1949, after the establishment of the Chinese Physiological Society; the exploratory phase of textbook construction after the founding of the People's Republic of China from 1949 to 1976; the formation and innovation of the textbook development process from 1977 to the present, following the restoration of the college entrance examination. For each phase, the article not only records the historical development of physiology textbooks, but also analyzes the evolution of their content, writing styles and the interaction with the social and political contexts. The article summarizes the characteristics and experiences of all these four phases. Special attention is given to the comprehensive statistical analysis of physiology textbooks published since the restoration of the college entrance examination and Economic Reform and Opening-up in 1977, revealing the changes in the number, publication trends and academic features of textbooks during this period. Finally, the article presets the future development of physiology textbooks in China, proposing that textbook writing should integrate aspects such as ideological and political education, medical humanities, basic and clinical medicine, health education, scientific research and international exchange and collaboration. The article also advocates for the application of new technologies and methods, such as artificial intelligence, virtual teaching models and knowledge graphs, to support "personalized learning". This research provides a systematic reference for the study of the history of medical education and offers theoretical support for the future innovation of physiology textbook in China.
Humans ; China ; History, 19th Century ; History, 20th Century ; History, 21st Century ; Physiology/education* ; Textbooks as Topic/history*

Processing for deodorization is widely used in the production of animal-derived Chinese medicinal materials. In this study, Heracles Neo ultra-fast gas-phase electronic nose combined with chemometrics was employed to analyze the overall odor difference of Cervi Cornu Pantotrichum(focusing on that derived from Cervus nippon Temminck in this study) before and after processing. The results showed that the electronic nose effectively distinguished between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. HS-GC-MS was used to identify and quantify the volatile components in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum, and 35 and 37 volatile components were detected in the medicinal materials and decoction pieces, respectively. The medicinal materials and decoction pieces contained 28 common volatile components contributing to the odor of Cervi Cornu Pantotrichum. The odor activity value(OAV) of each volatile component was calculated based on the olfactory threshold and relative content. The results showed that there were 17 key odor substances such as isovaleraldehyde, 2-methylbutanal, isobutyraldehyde, hexanal, and methanethiol in the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. All of them had bad odor and were the main source of the odor of Cervi Cornu Pantotrichum. The results of principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) showed that there were significant differences in volatile components between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. Based on the thresholds of P<0.05 and Variable Importance in Projection(VIP)>1, 21 differential volatile odor components were screened out. Among them, isopentanol, isovaleraldehyde, 2-methylbutanal, n-nonanal, and dimethylamine were the key differential odor compounds between the medicinal materials and decoction pieces of Cervi Cornu Pantotrichum. The odor compounds and their relative content reduced, and some flavor substances such as esters were produced after processing with wine, which was the main reason for the reduction of the odor after processing of Cervi Cornu Pantotrichum.
Odorants/analysis* ; Electronic Nose ; Gas Chromatography-Mass Spectrometry/methods* ; Animals ; Volatile Organic Compounds/analysis* ; Deer ; Drugs, Chinese Herbal/chemistry*

Haematitum and Limonitum are two iron-containing mineral medicines included in the 2020 edition of the Chinese Pharmacopoeia. They have similar main components and major differences in their property, flavor, channel tropism, and clinical uses. In this study, we investigated the surface properties, mineral composition, mineral dissociation, elemental composition, and iron state of Haematitum and Limonitum to explore their mineralogical differences. Scanning electron microscopy(SEM), specific surface and porosity analyzer, X-ray diffractometer(XRD), X-ray photoelectron spectrometer(XPS), and advanced mineral identification and characterization system(AMICS) were used to analyze the mineralogy of Haematitum and Limonitum. The results showed that Haematitum had an angular surface with granular attachments and a specific surface area of 17.04 m~2·g~(-1). In comparison, Limonitum had a smooth and flat surface with a bundled acicular crystal structure and a specific surface area of 46.29 m~2·g~(-1). Haematitum consists of 31 detectable minerals containing 18 elements, with the major element, iron(44.5% Fe~(2+) and 55.5% Fe~(3+)) distributed in 17 minerals, including hematite, iron oxide, knebelite, siderite, and magnesioferrite. Limonitum consists of 32 detectable minerals containing 17 elements, with the major element, iron(14.5% Fe~(2+) and 85.5% Fe~(3+)) distributed in 19 minerals, including limonite, iron oxide, chlorite, and knebelite. In summary, the elemental composition of Haematitum and Limonitum does not differ greatly, but there are large differences in the mineral composition and iron state. The large specific surface area and strong adsorption capacity of Limonitum may be one of the mechanisms of its anti-diarrheal action. The Fe_2O_3 and illite contained in Haematitum and Limonitum may be the key substances for their hemostasis effects. The mineralogical differences are expected to provide a reference for explaining the scientific connotation of mineral medicine and laying a material foundation for studying its mechanism of action.
Iron/analysis* ; Minerals/chemistry* ; Drugs, Chinese Herbal/chemistry* ; X-Ray Diffraction ; Microscopy, Electron, Scanning ; Photoelectron Spectroscopy

Process analytical technology(PAT) is a key means for digital transformation and upgrading of the traditional Chinese medicine(TCM) manufacturing process, serving as an important guarantee for consistent and controllable TCM product quality. Near-infrared(NIR) spectroscopy has become the core technology for measuring the TCM manufacturing process. By incorporating NIR spectroscopy into PAT and starting from the construction of a smart platform for the TCM manufacturing process, this paper systematically described the development history and innovative application of the combination of NIR spectroscopy with chemometrics in measuring the TCM manufacturing process by the research team over the past two decades. Additionally, it explored the application of a validation method based on accuracy profile(AP) in the practice of NIR spectroscopy. Furthermore, the software development progress driven by NIR spectroscopy supported by modeling technology was analyzed, and the prospect of integrating NIR spectroscopy in smart factory control platforms was exemplified with the construction practices of related platforms. By integrating with the smart platform, NIR spectroscopy could improve production efficiency and guarantee product quality. Finally, the prospect of the smart platform application in measuring the TCM manufacturing process was projected. It is believed that the software development for NIR spectroscopy and the smart manufacturing platform will provide strong technical support for TCM digitalization and industrialization.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/analysis* ; Software ; Medicine, Chinese Traditional ; Quality Control