1.Inhibition of interferon regulatory factor 4 orchestrates T cell dysfunction, extending mouse cardiac allograft survival.
Wenjia YUAN ; Hedong ZHANG ; Longkai PENG ; Chao CHEN ; Chen FENG ; Zhouqi TANG ; Pengcheng CUI ; Yaguang LI ; Tengfang LI ; Xia QIU ; Yan CUI ; Yinqi ZENG ; Jiadi LUO ; Xubiao XIE ; Yong GUO ; Xin JIANG ; Helong DAI
Chinese Medical Journal 2025;138(10):1202-1212
BACKGROUND:
T cell dysfunction, which includes exhaustion, anergy, and senescence, is a distinct T cell differentiation state that occurs after antigen exposure. Although T cell dysfunction has been a cornerstone of cancer immunotherapy, its potential in transplant research, while not yet as extensively explored, is attracting growing interest. Interferon regulatory factor 4 (IRF4) has been shown to play a pivotal role in inducing T cell dysfunction.
METHODS:
A novel ultra-low-dose combination of Trametinib and Rapamycin, targeting IRF4 inhibition, was employed to investigate T cell proliferation, apoptosis, cytokine secretion, expression of T-cell dysfunction-associated molecules, effects of mitogen-activated protein kinase (MAPK) and mammalian target of rapamycin (mTOR) signaling pathways, and allograft survival in both in vitro and BALB/c to C57BL/6 mouse cardiac transplantation models.
RESULTS:
In vitro , blockade of IRF4 in T cells effectively inhibited T cell proliferation, increased apoptosis, and significantly upregulated the expression of programmed cell death protein 1 (PD-1), Helios, CD160, and cytotoxic T lymphocyte-associated antigen (CTLA-4), markers of T cell dysfunction. Furthermore, it suppressed the secretion of pro-inflammatory cytokines interferon (IFN)-γ and interleukin (IL)-17. Combining ultra-low-dose Trametinib (0.1 mg·kg -1 ·day -1 ) and Rapamycin (0.1 mg·kg -1 ·day -1 ) demonstrably extended graft survival, with 4 out of 5 mice exceeding 100 days post-transplantation. Moreover, analysis of grafts at day 7 confirmed sustained IFN regulatory factor 4 (IRF4) inhibition, enhanced PD-1 expression, and suppressed IFN-γ secretion, reinforcing the in vivo efficacy of this IRF4-targeting approach. The combination of Trametinib and Rapamycin synergistically inhibited the MAPK and mTOR signaling network, leading to a more pronounced suppression of IRF4 expression.
CONCLUSIONS
Targeting IRF4, a key regulator of T cell dysfunction, presents a promising avenue for inducing transplant immune tolerance. In this study, we demonstrate that a novel ultra-low-dose combination of Trametinib and Rapamycin synergistically suppresses the MAPK and mTOR signaling network, leading to profound IRF4 inhibition, promoting allograft acceptance, and offering a potential new therapeutic strategy for improved transplant outcomes. However, further research is necessary to elucidate the underlying pharmacological mechanisms and facilitate translation to clinical practice.
Animals
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Mice
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Mice, Inbred BALB C
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Mice, Inbred C57BL
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Interferon Regulatory Factors/metabolism*
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Heart Transplantation/methods*
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T-Lymphocytes/immunology*
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Sirolimus/therapeutic use*
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Pyridones/therapeutic use*
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Graft Survival/drug effects*
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Pyrimidinones/therapeutic use*
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Cell Proliferation/drug effects*
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Apoptosis/drug effects*
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Male
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Signal Transduction/drug effects*
2.Epidemiological status, development trends, and risk factors of disability-adjusted life years due to diabetic kidney disease: A systematic analysis of Global Burden of Disease Study 2021.
Jiaqi LI ; Keyu GUO ; Junlin QIU ; Song XUE ; Linhua PI ; Xia LI ; Gan HUANG ; Zhiguo XIE ; Zhiguang ZHOU
Chinese Medical Journal 2025;138(5):568-578
BACKGROUND:
Approximately 40% of individuals with diabetes worldwide are at risk of developing diabetic kidney disease (DKD), which is not only the leading cause of kidney failure, but also significantly increases the risk of cardiovascular disease, causing significant societal health and financial burdens. This study aimed to describe the burden of DKD and explore its cross-country epidemiological status, predict development trends, and assess its risk factors and sociodemographic transitions.
METHODS:
Based on the Global Burden of Diseases (GBD) Study 2021, data on DKD due to type 1 diabetes (DKD-T1DM) and type 2 diabetes (DKD-T2DM) were analyzed by sex, age, year, and location. Numbers and age-standardized rates were used to compare the disease burden between DKD-T1DM and DKD-T2DM among locations. Decomposition analysis was used to assess the potential drivers. Locally weighted scatter plot smoothing and Frontier analysis were used to estimate sociodemographic transitions of DKD disability-adjusted life years (DALYs).
RESULTS:
The DALYs due to DKD increased markedly from 1990 to 2021, with a 74.0% (from 2,227,518 to 3,875,628) and 173.6% (from 4,122,919 to 11,278,935) increase for DKD-T1DM and DKD-T2DM, respectively. In 2030, the estimated DALYs for DKD-T1DM surpassed 4.4 million, with that of DKD-T2DM exceeding 14.6 million. Notably, middle-sociodemographic index (SDI) quintile was responsible for the most significant DALYs. Decomposition analysis revealed that population growth and aging were major drivers for the increased DKD DALYs in most regions. Interestingly, the most pronounced effect of positive DALYs change from 1990 to 2021 was presented in high-SDI quintile, while in low-SDI quintile, DALYs for DKD-T1DM and DKD-T2DM presented a decreasing trend over the past years. Frontiers analysis revealed that there was a negative association between SDI quintiles and age-standardized DALY rates (ASDRs) in DKD-T1DM and DKD-T2DM. Countries with middle-SDI shouldered disproportionately high DKD burden. Kidney dysfunction (nearly 100.0% for DKD-T1DM and DKD-T2DM), high fasting plasma glucose (70.8% for DKD-T1DM and 87.4% for DKD-T2DM), and non-optimal temperatures (low and high, 5.0% for DKD-T1DM and 5.1% for DKD-T2DM) were common risk factors for age-standardized DALYs in T1DM-DKD and T2DM-DKD. There were other specific risk factors for DKD-T2DM such as high body mass index (38.2%), high systolic blood pressure (10.2%), dietary risks (17.8%), low physical activity (6.2%), lead exposure (1.2%), and other environmental risks.
CONCLUSIONS
DKD markedly increased and varied significantly across regions, contributing to a substantial disease burden, especially in middle-SDI countries. The rise in DKD is primarily driven by population growth, aging, and key risk factors such as high fasting plasma glucose and kidney dysfunction, with projections suggesting continued escalation of the burden by 2030.
Humans
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Global Burden of Disease
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Risk Factors
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Male
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Female
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Disability-Adjusted Life Years
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Diabetic Nephropathies/epidemiology*
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Middle Aged
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Diabetes Mellitus, Type 2/epidemiology*
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Adult
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Diabetes Mellitus, Type 1/complications*
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Aged
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Adolescent
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Young Adult
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Quality-Adjusted Life Years
3.Rhodiolae Crenulatae Radix et Rhizoma protects brain microvascular endothelial cells from ischemia and hypoxia injury by regulating PI3K/AKT/GSK3β pathway.
Li TANG ; Qiu-Yue YANG ; Hong-Fa CHENG ; Ya-Hui XIE ; Qiu-Xia ZHANG
China Journal of Chinese Materia Medica 2025;50(11):3127-3136
This study elucidates the mechanism of Rhodiolae Crenulatae Radix et Rhizoma(RCRR) in protecting brain microvascular endothelial cells from oxygen-glucose deprivation(OGD) injury and reveals the modern pharmacological mechanism of RCRR's traditional use in nourishing Qi and promoting blood circulation to protect endothelial cells. The scratch assay was employed to assess the migratory capacity of endothelial cells. Immunofluorescence and Western blot techniques were employed to assess the protein expression of tight junction proteins zonula occludens-1(ZO-1), occludin, claudin-5, and proteins of the phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)/glycogen synthase kinase-3beta(GSK3β) pathway. The results demonstrated that 63 bioactive components and 125 potential core targets of RCRR were identified from the ETCM, TCMBank, and SwissTargetPrediction databases, as well as from the literature. A total of 1 708 brain microvascular endothelial cell-related targets were identified from the GeneCards and OMIM databases, and 52 targets were obtained by intersecting drug components with cell targets. The protein-protein interaction(PPI) network analysis revealed that AKT1, epidermal growth factor receptor(EGFR), matrix metalloproteinase 9(MMP9), estrogen receptor 1(ESR1), proto-oncogene tyrosine-protein kinase(SRC), peroxisome proliferator-activated receptor gamma(PPARG), GSK3β, and matrix metalloproteinase 2(MMP2) were considered hub genes. The KEGG enrichment analysis identified the PI3K/AKT pathway as the primary signaling pathway. Cell experiments demonstrated that RCRR-containing serum could enhance the migratory capacity of brain microvascular endothelial cells and the expression of tight junction proteins following OGD injury, which may be associated with the downregulation of the PI3K/AKT/GSK3β pathway. This study elucidates the pharmacological mechanism of RCRR in protecting brain microvascular endothelial cells through network pharmacology, characterized by multiple components and targets. These findings were validated through in vitro experiments and provide important ideas and references for further research into the molecular mechanisms of RCRR in protecting brain microvascular endothelial cells.
Endothelial Cells/cytology*
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Glycogen Synthase Kinase 3 beta/genetics*
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Proto-Oncogene Proteins c-akt/genetics*
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Drugs, Chinese Herbal/pharmacology*
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Phosphatidylinositol 3-Kinases/genetics*
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Signal Transduction/drug effects*
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Brain/metabolism*
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Humans
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Animals
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Rhizome/chemistry*
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Microvessels/metabolism*
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Brain Ischemia/drug therapy*
4.Single-cell and spatial transcriptomic analysis reveals that an immune cell-related signature could predict clinical outcomes for microsatellite-stable colorectal cancer patients receiving immunotherapy.
Shijin YUAN ; Yan XIA ; Guangwei DAI ; Shun RAO ; Rongrong HU ; Yuzhen GAO ; Qing QIU ; Chenghao WU ; Sai QIAO ; Yinghua XU ; Xinyou XIE ; Haizhou LOU ; Xian WANG ; Jun ZHANG
Journal of Zhejiang University. Science. B 2025;26(4):371-392
Recent data suggest that vascular endothelial growth factor receptor inhibitor (VEGFRi) can enhance the anti-tumor activity of the anti-programmed cell death-1 (anti-PD-1) antibody in colorectal cancer (CRC) with microsatellite stability (MSS). However, the comparison between this combination and standard third-line VEGFRi treatment is not performed, and reliable biomarkers are still lacking. We retrospectively enrolled MSS CRC patients receiving anti-PD-1 antibody plus VEGFRi (combination group, n=54) or VEGFRi alone (VEGFRi group, n=32), and their efficacy and safety were evaluated. We additionally examined the immune characteristics of the MSS CRC tumor microenvironment (TME) through single-cell and spatial transcriptomic data, and an MSS CRC immune cell-related signature (MCICRS) that can be used to predict the clinical outcomes of MSS CRC patients receiving immunotherapy was developed and validated in our in-house cohort. Compared with VEGFRi alone, the combination of anti-PD-1 antibody and VEGFRi exhibited a prolonged survival benefit (median progression-free survival: 4.4 vs. 2.0 months, P=0.0024; median overall survival: 10.2 vs. 5.2 months, P=0.0038) and a similar adverse event incidence. Through single-cell and spatial transcriptomic analysis, we determined ten MSS CRC-enriched immune cell types and their spatial distribution, including naive CD4+ T, regulatory CD4+ T, CD4+ Th17, exhausted CD8+ T, cytotoxic CD8+ T, proliferated CD8+ T, natural killer (NK) cells, plasma, and classical and intermediate monocytes. Based on a systemic meta-analysis and ten machine learning algorithms, we obtained MCICRS, an independent risk factor for the prognosis of MSS CRC patients. Further analyses demonstrated that the low-MCICRS group presented a higher immune cell infiltration and immune-related pathway activation, and hence a significant relation with the superior efficacy of pan-cancer immunotherapy. More importantly, the predictive value of MCICRS in MSS CRC patients receiving immunotherapy was also validated with an in-house cohort. Anti-PD-1 antibody combined with VEGFRi presented an improved clinical benefit in MSS CRC with manageable toxicity. MCICRS could serve as a robust and promising tool to predict clinical outcomes for individual MSS CRC patients receiving immunotherapy.
Humans
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Colorectal Neoplasms/drug therapy*
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Male
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Female
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Immunotherapy
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Middle Aged
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Aged
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Tumor Microenvironment/immunology*
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Retrospective Studies
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Microsatellite Instability
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Transcriptome
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Single-Cell Analysis
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Programmed Cell Death 1 Receptor/immunology*
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Gene Expression Profiling
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Immune Checkpoint Inhibitors/therapeutic use*
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Adult
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Receptors, Vascular Endothelial Growth Factor/antagonists & inhibitors*
5.Metabolic profiling analysis of acute renal toxicity in mice exposed to perfluorobutanoic acid
Lin ZHONG ; Yiru QIN ; Zhiming HU ; Zuofei XIE ; Jingjing QIU ; Banghua WU ; LiHua XIA
China Occupational Medicine 2025;52(4):368-375
Objective To explore the nephrotoxic effects of exposure to perfluorobutanoic acid (PFBA) and its mechanism in mice, with a particular focus on analyzing the changes in kidney metabolism and their potential implications. Methods The specific pathogen free C57BL/6 mice were randomly divided into control group, low-dose group, and high-dose group, with 10 mice in each group. Mice in the three groups received intragastric administration of PFBA solution at doses of 0, 35 and 350 mg/kg body weight, once per day for seven consecutive days. The histopathological changes of kidneys of mice in these three groups were evaluated. Metabolomic profiling of mouse kidneys was performed using ultra-high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differentially accumulated metabolites (DAMs) were identified based on the Human Metabolome Database, and related metabolic pathways were analyzed through MetaboAnalyst 6.0 and Kyoto Encyclopedia of Genes and Genomes (KEGG). Results Histopathological analysis of kidneys showed that the renal pelvis mucosa of mice in the low-dose group presented focal mild inflammatory changes without marked structural damage, whereas mice in the high-dose group showed severe inflammation and partial destruction of renal structure. The kidney coefficient of mice in both low-dose group and the high-dose group decreased (both P<0.05), and the Paller scores of renal tissues increased (both P<0.05) compared with that in the control group. The Paller score of mouse renal tissue in the high-dose group was higher than that in the low-dose group (P<0.05). Metabolomic profiling identified 46 DAMs (26 upregulated, 20 downregulated) in the low-dose group and 104 DAMs (54 upregulated, 50 downregulated) in the high-dose group, with 26 shared DAMs between the two dose groups. KEGG pathway analysis revealed that DAMs were mainly involved in metabolic pathways such as glycerophospholipid metabolism, glycerolipid metabolism, sphingolipid and steroid hormone synthesis. Conclusion Acute exposure to PFBA can cause kidney injury in mice. Lipid metabolism pathways such as glycerophospholipid and sphingolipid metabolism is involved in the development of acute renal toxicity of PFBA.
6.CT-guided hook-wire localization of ≤10 mm pulmonary ground-glass nodules via different path ways before video-assisted thoracoscopic surgery:a comparative study
Xingxiong ZOU ; Junjie XIA ; Hongwei LI ; Junqiang YANG ; Yu QIU ; Ming YANG ; Wenjun LI ; Wenying XIE ; Huihong XUE ; Jingxiu YOU ; Mi GA ; Juan WANG
Journal of Interventional Radiology 2024;33(8):884-890
Objective To compare the clinical safety and efficacy of CT-guided hook-wire localization of≤10mm pulmonary ground-glass nodule(GGN)via different path ways before video-assisted thoracoscopic surgery(VATS).Methods The clinical data of a total of 128 patients with 10 mm pulmonary GGN,who received CT-guided hook wire localization before VATS at The Third Hospital of Mianyang of China between July 2018 and March 2023,were retrospectively analyzed.According to the puncturing localization path way mode,the patients were divided into vertical puncturing group(n=88)and non-vertical puncturing group(n=40).The number of puncturing times,the time spent for puncturing localization,the success rate of puncture,the operation time of VATS,and puncture-related complications of the two groups were recorded.Results No statistically significant differences in the gender,age,smoking history,GGN location,puncture position,nodule size,density characteristics of GGN,emphysema,and nodules-pleura distance existed between the two groups(all P>0.05).Compared with non-vertical puncturing group,in vertical puncturing group the number of puncturing times was smaller,the time spent for localization was shorter,the incidence of pneumothorax was lower,and the operation time of VATS was shorter,the differences in all the above indexes between the two groups were statistically significant(all P<0.05);and the subgroup analysis of patients whose GGN was overlapped with rib shadow obtained the same results.Binary logistic regression analysis revealed that non-vertical puncturing and the number of puncturing times were the independent risk factors for the occurrence of pneumothorax.Conclusion CT-guided hook-wire localization of≤10mm pulmonary GGN before VATS is clinically safe and effective.Under the condition when the lesion can be localized within the range of 2.0cm and the shadow overlapping of GGN with the rib and blood vessel can be effectively avoided,vertical puncturing path way mode should be preferred,which can effectively reduce the incidence of pneumothorax and shorten the operation time of VATS.
7.A multicenter retrospective cohort study on the attributable risk of patients with Acinetobacter baumannii sterile body fluid infection
Lei HE ; Dao-Bin JIANG ; Ding LIU ; Xiao-Fang ZHENG ; He-Yu QIU ; Shu-Mei WU ; Xiao-Ying WU ; Jin-Lan CUI ; Shou-Jia XIE ; Qin XIA ; Li HE ; Xi-Zhao LIU ; Chang-Hui SHU ; Rong-Qin LI ; Hong-Ying TAO ; Ze-Fen CHEN
Chinese Journal of Infection Control 2024;23(1):42-48
Objective To investigate the attributable risk(AR)of Acinetobacter baumannii(AB)infection in criti-cally ill patients.Methods A multicenter retrospective cohort study was conducted among adult patients in inten-sive care unit(ICU).Patients with AB isolated from sterile body fluid and confirmed with AB infection in each cen-ter were selected as the infected group.According to the matching criteria that patients should be from the same pe-riod,in the same ICU,as well as with similar APACHE Ⅱ score(±5 points)and primary diagnosis,patients who did not infect with AB were selected as the non-infected group in a 1:2 ratio.The AR was calculated.Results The in-hospital mortality of patients with AB infection in sterile body fluid was 33.3%,and that of non-infected group was 23.1%,with no statistically significant difference between the two groups(P=0.069).The AR was 10.2%(95%CI:-2.3%-22.8%).There is no statistically significant difference in mortality between non-infected pa-tients and infected patients from whose blood,cerebrospinal fluid and other specimen sources AB were isolated(P>0.05).After infected with AB,critically ill patients with the major diagnosis of pulmonary infection had the high-est AR.There was no statistically significant difference in mortality between patients in the infected and non-infec-ted groups(P>0.05),or between other diagnostic classifications.Conclusion The prognosis of AB infection in critically ill patients is highly overestimated,but active healthcare-associated infection control for AB in the ICU should still be carried out.
8.Homoharringtonine promotes heart allograft acceptance by enhancing regulatory T cells induction in a mouse model
Xia QIU ; Hedong ZHANG ; Zhouqi TANG ; Yuxi FAN ; Wenjia YUAN ; Chen FENG ; Chao CHEN ; Pengcheng CUI ; Yan CUI ; Zhongquan QI ; Tengfang LI ; Yuexing ZHU ; Liming XIE ; Fenghua PENG ; Tuo DENG ; Xin JIANG ; Longkai PENG ; Helong DAI
Chinese Medical Journal 2024;137(12):1453-1464
Background::Homoharringtonine (HHT) is an effective anti-inflammatory, anti-viral, and anti-tumor protein synthesis inhibitor that has been applied clinically. Here, we explored the therapeutic effects of HHT in a mouse heart transplant model.Methods::Healthy C57BL/6 mice were used to observe the toxicity of HHT in the liver, kidney, and hematology. A mouse heart transplantation model was constructed, and the potential mechanism of HHT prolonging allograft survival was evaluated using Kaplan–Meier analysis, immunostaining, and bulk RNA sequencing analysis. The HHT-T cell crosstalk was modeled ex vivo to further verify the molecular mechanism of HHT-induced regulatory T cells (Tregs) differentiation. Results::HHT inhibited the activation and proliferation of T cells and promoted their apoptosis ex vivo. Treatment of 0.5 mg/kg HHT for 10 days significantly prolonged the mean graft survival time of the allografts from 7 days to 48 days ( P <0.001) without non-immune toxicity. The allografts had long-term survival after continuous HHT treatment for 28 days. HHT significantly reduced lymphocyte infiltration in the graft, and interferon-γ-secreting CD4 + and CD8 + T cells in the spleen ( P <0.01). HHT significantly increased the number of peripheral Tregs (about 20%, P <0.001) and serum interleukin (IL)-10 levels. HHT downregulated the expression of T cell receptor (TCR) signaling pathway-related genes ( CD4, H2-Eb1, TRAT1, and CD74) and upregulated the expression of IL-10 and transforming growth factor (TGF) -β pathway-related genes and Treg signature genes ( CTLA4, Foxp3, CD74, and ICOS). HHT increased CD4 + Foxp3 + cells and Foxp3 expression ex vivo, and it enhanced the inhibitory function of inducible Tregs. Conclusions::HHT promotes Treg cell differentiation and enhances Treg suppressive function by attenuating the TCR signaling pathway and upregulating the expression of Treg signature genes and IL-10 levels, thereby promoting mouse heart allograft acceptance. These findings may have therapeutic implications for organ transplant recipients, particularly those with viral infections and malignancies, which require a more suitable anti-rejection medication.
9.Research of predictive factors of axillary lymph node metastasis in breast cancer under the context of DIP payment of medical insurance
Haoran XIE ; Yihao LI ; Cheng LIU ; Yuting XIA ; Shenglei QIU ; Bin XIONG ; Qizhen FENG
Tianjin Medical Journal 2024;52(11):1193-1197
Objective To explore the predictive factors of axillary lymph node metastasis in breast cancer,and to provide a basis for clinical decision-making under the DIP payment mode of medical insurance.Methods A total of 715 patients with breast cancer were divided into the metastasis group(n=309)and the non-metastasis group(n=406)according to the postoperative paraffin pathological results.Data of age>60 years old,menopausal status,body mass index(BMI)>24 kg/m2,hyperglycemia(GLU>6.1 mmol/L),high triglycerides(TG>1.7 mmol/L),maximum diameter of the tumor,the distance between the tumor and nipple and the quadrant where the tumor located were compared between the two groups.The expression levels of estrogen receptor(ER),progesterone receptor(PR),nuclear proliferation antigen(Ki-67)and human epidermal growth factor receptor-2(Her-2)in breast cancer tissue samples were detected by histological grading and immunohistochemistry.The consistency,sensitivity and specificity of chest CT and breast ultrasound were examined,taken the pathological diagnosis as the gold standard.Results Compared with the non-metastatic group,the proportion of maximum diameter of tumor>2 cm,histological grade Ⅲ,high Ki-67 and high ER expression,tumor located in the outer upper quadrant,the distance>3 cm between tumor and nipple were increased in the metastatic group,and the proportion of high level of TG was decreased in the metastatic group(P<0.05).The consistency between chest CT and pathological diagnosis was better than that of breast ultrasound(Kappa was 0.493 and 0.353 respectively,P<0.05).Logistic regression analysis showed that histological grade Ⅲ,high expression of ER,maximum diameter of tumor>2 cm,and chest CT diagnosis were risk factors for axillary lymph node metastasis(P<0.05).Conclusion The combined application of the predictive factors of axillary lymph node metastasis of breast cancer could provide certain reference for clinical decision-making under the background of DIP payment mode of medical insurance.
10.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence*
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Humans
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Consensus
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Computer Security/standards*
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Confidentiality/ethics*
;
Informed Consent/ethics*

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