1.Exploring on Processing Mechanism of Enhanced "Invigorating Spleen and Stopping Diarrhea" Effect of Soil-fried Atractylodis Macrocephalae Rhizoma Based on "Microscopic Characterization, Chemical Analysis and Pharmacodynamic Evaluation" Trinity
Guoshun SHAN ; Yuyan XIAO ; Chu YUAN ; Xiuai CHEN ; Qimiao ZHAO ; Xiang LIU ; Hao WU ; Ke ZHANG ; Siqi LIU ; Yongduo YU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):182-193
ObjectiveTo analyze the processing mechanism underlying the enhanced effect of invigorating spleen and stopping diarrhea of soil-fried Atractylodis Macrocephalae Rhizoma(AMR) by analyzing the changes of microstructure, chemical composition and anti-ulcerative colitis(UC) activity before and after soil stir-frying. MethodsThe microstructure and elemental composition of AMR before and after soil stir-frying were analyzed by scanning electron microscopy-energy dispersive spectroscopy(SEM-EDS), to investigate the differences in microstructure and the underlying causes. Ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS) coupled with UNIFI 1.9.2 natural product analysis platform were used to analyze and identify the chemical constituents in raw and soil-fried products, and multivariate statistical methods including principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to explore the differences and sources of chemical constituents between them. A dextran sulfate sodium(DSS)-induced UC mouse model was established. The method of disease activity index(DAI) was used to evaluate the severity of intestinal inflammation. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of colon tissue, enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of inflammatory factors, Real-time quantitative polymerase chain reaction(Real-time PCR) and Western blot were used to analyze the expressions of key genes and proteins involved in the intestinal mucosal barrier. The 16S rRNA sequencing was used to evaluate the diversity of intestinal flora, headspace gas chromatography-mass spectrometry(HS-GC-MS) was used to explore the levels of short-chain fatty acids(SCFAs) in feces. Base on the above findings, this paper investigated the effects of raw and soil-fried AMR on the biological, chemical, mechanical and immune barriers of model animals, and the differences in pharmacological effects and underlying mechanisms from the perspective of regulating the intestinal mucosal barrier in UC mice. ResultsSEM observation revealed numerous hearth soil particles on the surface of soil-fried AMR, accompanied by bubble-like bulges. At the same time, there were many cracks and folds on the surface of the hearth soil. EDS analysis revealed that the contents of Si, Al, Mg and Ca in soil-fried AMR were significantly higher than those of raw products, and these elements constituted the primary components of hearth soil. UPLC-Q-TOF-MS combined with database comparison was used to identify the chemical constituents of raw and soil-fried AMR. In positive ion mode, a total of 132 components were identified, primarily comprising three categories of terpenoids, polyphenols and amino acids. In negative ion mode, a total of 40 components were identified, primarily polyphenolic and glycoside compounds. Among them, the contents of sesquiterpenes and polyphenolic acids were changed significantly before and after processing. Soil-fried AMR could reduce the DAI score of UC mice, alleviate the shortening of colon length, reduce the levels of pro-inflammatory factors such as interleukin(IL)-17, IL-18, γ-interferon(IFN-γ) and tumor necrosis factor(TNF)-α in serum, increase the levels of anti-inflammatory factors such as secretory immunoglobulin A(sIgA), IL-10, IL-4 and transforming growth factor-β(TGF-β) in serum, increase the expressions of key genes and proteins of intestinal mucosal barrier such as tight junction protein-1(ZO-1), Occludin, Claudin-1 and mucin 2(MUC2) in colonic mucosa, and improve the disorders of intestinal flora diversity and the levels of SCFAs(P<0.05, P<0.01). The raw and stir-fried products of AMR also exhibited the aforementioned effects, but they were weaker than the soil-fried products. Additionally, the auxiliary material hearth soil also had a certain pharmacodynamic effect. ConclusionSoil-fried AMR can enhance the protective effect on intestinal mucosal barrier in UC mice. These changes or heating-induced alterations in the microscopic structure and chemical composition of AMR may be attributed to the dual effects of adsorption of hearth soil.
2.Exploring on Processing Mechanism of Enhanced "Invigorating Spleen and Stopping Diarrhea" Effect of Soil-fried Atractylodis Macrocephalae Rhizoma Based on "Microscopic Characterization, Chemical Analysis and Pharmacodynamic Evaluation" Trinity
Guoshun SHAN ; Yuyan XIAO ; Chu YUAN ; Xiuai CHEN ; Qimiao ZHAO ; Xiang LIU ; Hao WU ; Ke ZHANG ; Siqi LIU ; Yongduo YU
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(8):182-193
ObjectiveTo analyze the processing mechanism underlying the enhanced effect of invigorating spleen and stopping diarrhea of soil-fried Atractylodis Macrocephalae Rhizoma(AMR) by analyzing the changes of microstructure, chemical composition and anti-ulcerative colitis(UC) activity before and after soil stir-frying. MethodsThe microstructure and elemental composition of AMR before and after soil stir-frying were analyzed by scanning electron microscopy-energy dispersive spectroscopy(SEM-EDS), to investigate the differences in microstructure and the underlying causes. Ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS) coupled with UNIFI 1.9.2 natural product analysis platform were used to analyze and identify the chemical constituents in raw and soil-fried products, and multivariate statistical methods including principal component analysis(PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA) were used to explore the differences and sources of chemical constituents between them. A dextran sulfate sodium(DSS)-induced UC mouse model was established. The method of disease activity index(DAI) was used to evaluate the severity of intestinal inflammation. Hematoxylin-eosin(HE) staining was used to observe the pathological changes of colon tissue, enzyme-linked immunosorbent assay(ELISA) was used to detect the levels of inflammatory factors, Real-time quantitative polymerase chain reaction(Real-time PCR) and Western blot were used to analyze the expressions of key genes and proteins involved in the intestinal mucosal barrier. The 16S rRNA sequencing was used to evaluate the diversity of intestinal flora, headspace gas chromatography-mass spectrometry(HS-GC-MS) was used to explore the levels of short-chain fatty acids(SCFAs) in feces. Base on the above findings, this paper investigated the effects of raw and soil-fried AMR on the biological, chemical, mechanical and immune barriers of model animals, and the differences in pharmacological effects and underlying mechanisms from the perspective of regulating the intestinal mucosal barrier in UC mice. ResultsSEM observation revealed numerous hearth soil particles on the surface of soil-fried AMR, accompanied by bubble-like bulges. At the same time, there were many cracks and folds on the surface of the hearth soil. EDS analysis revealed that the contents of Si, Al, Mg and Ca in soil-fried AMR were significantly higher than those of raw products, and these elements constituted the primary components of hearth soil. UPLC-Q-TOF-MS combined with database comparison was used to identify the chemical constituents of raw and soil-fried AMR. In positive ion mode, a total of 132 components were identified, primarily comprising three categories of terpenoids, polyphenols and amino acids. In negative ion mode, a total of 40 components were identified, primarily polyphenolic and glycoside compounds. Among them, the contents of sesquiterpenes and polyphenolic acids were changed significantly before and after processing. Soil-fried AMR could reduce the DAI score of UC mice, alleviate the shortening of colon length, reduce the levels of pro-inflammatory factors such as interleukin(IL)-17, IL-18, γ-interferon(IFN-γ) and tumor necrosis factor(TNF)-α in serum, increase the levels of anti-inflammatory factors such as secretory immunoglobulin A(sIgA), IL-10, IL-4 and transforming growth factor-β(TGF-β) in serum, increase the expressions of key genes and proteins of intestinal mucosal barrier such as tight junction protein-1(ZO-1), Occludin, Claudin-1 and mucin 2(MUC2) in colonic mucosa, and improve the disorders of intestinal flora diversity and the levels of SCFAs(P<0.05, P<0.01). The raw and stir-fried products of AMR also exhibited the aforementioned effects, but they were weaker than the soil-fried products. Additionally, the auxiliary material hearth soil also had a certain pharmacodynamic effect. ConclusionSoil-fried AMR can enhance the protective effect on intestinal mucosal barrier in UC mice. These changes or heating-induced alterations in the microscopic structure and chemical composition of AMR may be attributed to the dual effects of adsorption of hearth soil.
3.A prediction model for mild cognitive impairment risk among the elderly
MA Zongkang ; LIU Xinglang ; LI Huihui ; HE Guowei ; YAN Ping ; ZHANG Chuanrong ; MA Xuan ; CHE Yajie ; YU Shan ; CHEN Fenghui
Journal of Preventive Medicine 2026;38(2):124-129
Objective:
To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening.
Methods :
From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA).
Results:
A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764.
Conclusion
The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.
4.Mechanism of Paeoniae Radix Rubra and Aconiti Lateralis Radix Praeparata in Treatment of Acute-on-chronic Liver Failure Based on Bioinformation Analysis and Experimental Validation
Xiaoling TIAN ; Yu ZHANG ; Shan DU ; Mengsi WU ; Nianhua TAN ; Bin CHEN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):156-165
ObjectiveTo explore the mechanism of action of Paeoniae Radix Rubra and Aconiti Lateralis Radix Praeparata (CSFZ) in the treatment of acute-on-chronic liver failure (ACLF) through network pharmacology, molecular docking, and animal experiments. MethodsNetwork pharmacology was used to identify potential targets and related signaling pathways for the treatment of ACLF with CSFZ. Molecular docking was used to examine the binding activity of the core components with corresponding key targets. An ACLF rat model was established by subcutaneous and tail vein injections of bovine serum albumin combined with lipopolysaccharide (LPS) + D-galactosamine (D-GalN) intraperitoneal injection. A normal control group (NC), a model group, a CSFZ group (CSFZ, 5.85 g·kg-1), and a hepatocyte growth-promoting granule group (HGFG, 4.05 g·kg-1) were set up in this study. Pathological changes in rat liver tissue were observed using hematoxylin and eosin (HE) and Masson staining. Enzyme-linked immunosorbent assay (ELISA) was used to detect the expression levels of interleukin-6 (IL-6), B-cell lymphoma-2 (Bcl-2), Caspase-3, and albumin (ALB). Real-time quantitative polymerase chain reaction (Real-time PCR) and Western blot were used to measure the mRNA and protein expression levels of phosphoinositide 3-kinase (PI3K), protein kinase B (Akt), phosphorylated PI3K (p-PI3K), and phosphorylated Akt (p-Akt). ResultsNetwork pharmacology screening identified 49 active ingredients of CSFZ, 103 action targets, and 3 317 targets related to ACLF. Among these, 74 targets overlapped with CSFZ drug targets. Key nodes in the protein-protein interaction (PPI) network included Akt1, tumor necrosis factor (TNF), IL-6, Bcl-2, and Caspase-3. Gene Ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis identified multiple signaling pathways, with the PI3K/Akt signaling pathway being the most frequent. Molecular docking showed that the core components of the drug exhibited good binding activity with the corresponding key targets. Animal experiments confirmed that CSFZ significantly improved liver tissue pathological damage in ACLF rats, reduced the release of inflammatory factors and liver cell apoptosis, and upregulated the expression levels of the PI3K/Akt signaling pathway. ConclusionThrough network pharmacology, molecular docking, and in vivo experiments, this study confirms the effect of CSFZ in reducing liver cell inflammatory damage and inhibiting liver cell apoptosis. The specific mechanism may be related to its involvement in regulating the PI3K/Akt signaling pathway.
5.Brain Aperiodic Dynamics
Zhi-Cai HU ; Zhen ZHANG ; Jiang WANG ; Gui-Ping LI ; Shan LIU ; Hai-Tao YU
Progress in Biochemistry and Biophysics 2025;52(1):99-118
Brain’s neural activities encompass both periodic rhythmic oscillations and aperiodic neural fluctuations. Rhythmic oscillations manifest as spectral peaks of neural signals, directly reflecting the synchronized activities of neural populations and closely tied to cognitive and behavioral states. In contrast, aperiodic fluctuations exhibit a power-law decaying spectral trend, revealing the multiscale dynamics of brain neural activity. In recent years, researchers have made notable progress in studying brain aperiodic dynamics. These studies demonstrate that aperiodic activity holds significant physiological relevance, correlating with various physiological states such as external stimuli, drug induction, sleep states, and aging. Aperiodic activity serves as a reflection of the brain’s sensory capacity, consciousness level, and cognitive ability. In clinical research, the aperiodic exponent has emerged as a significant potential biomarker, capable of reflecting the progression and trends of brain diseases while being intricately intertwined with the excitation-inhibition balance of neural system. The physiological mechanisms underlying aperiodic dynamics span multiple neural scales, with activities at the levels of individual neurons, neuronal ensembles, and neural networks collectively influencing the frequency, oscillatory patterns, and spatiotemporal characteristics of aperiodic signals. Aperiodic dynamics currently boasts broad application prospects. It not only provides a novel perspective for investigating brain neural dynamics but also holds immense potential as a neural marker in neuromodulation or brain-computer interface technologies. This paper summarizes methods for extracting characteristic parameters of aperiodic activity, analyzes its physiological relevance and potential as a biomarker in brain diseases, summarizes its physiological mechanisms, and based on these findings, elaborates on the research prospects of aperiodic dynamics.
6.Expert consensus on intraoperative repositioning for patients with spine fracture and dislocation (version 2025)
Dongmei BIAN ; Ke SUN ; Ningbo CHEN ; Caixia BAI ; Miao WANG ; Yafeng QIAO ; Fei WANG ; Hong WANG ; Feng TIAN ; Mei YAN ; Meng BAI ; Linjuan ZHANG ; Liyan ZHAO ; Yaqing CUI ; Xue JIANG ; Leling FENG ; Ning NING ; Junqin DING ; Lan WEI ; Yonghua ZHAI ; Yu ZENG ; Zengmei ZHANG ; Jiqun HE ; Fenggui BIE ; Hong CHEN ; Zengyan WANG ; Li LI ; Li ZHANG ; Yaying ZHOU ; Bing SHAO ; Ying WANG ; Caixia XIE ; Yanfeng YAO ; Jingjing AN ; Wen SHI ; Xiongtao LIU ; Xiaoyan AN ; Ning NAN ; Lan LI ; Xiaohui GOU ; Qiaomei LI ; Xiuting WU ; Yuqin ZHANG ; Jing LIU ; Fusen XIANG ; Xu XU ; Na MEI ; Jiao ZHOU ; Shan FAN ; Qian WANG ; Shuixia LI
Chinese Journal of Trauma 2025;41(2):138-147
Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.
7.Identification of the secretion of effector proteins of Chlamydia psittaci using the β-lactamase translocation assay
Huiying YANG ; Nana LI ; Shan ZHANG ; Yufei JANG ; Yinhui LIN ; Xiaoxiao CHEN ; Yuchen ZHANG ; Yonghui YU ; Xuan OUYANG ; Yajun SONG ; Jun JIAO
Chinese Journal of Microbiology and Immunology 2025;45(9):761-767
Objective:To identify and validate secreted effector proteins of Chlamydia psittaci ( C. psittaci) through bioinformatic prediction and experimental verification, and to characterize their subcellular localization in host cells. Methods:Potential effector proteins were predicted using bioinformatics tools. Candidate effectors were fused to β-lactamase through the constructed expression vectors, and these vectors were transformed into C. psittaci. The secretion of these candidate effectors was evaluated by β-lactamase translocation assays. Eukaryotic expression vectors of confirmed effectors were transfected into host cells to determine their intracellular localization patterns. Results:Bioinformatic analysis identified 29 candidate effector proteins. Experimental validation confirmed the secretion of five effectors, with four exhibiting cytoplasmic localization and one displaying nuclear localization in host cells.Conclusion:This study characterizes five novel C. psittaci secreted effector proteins, providing critical insights for investigating the molecular pathogenesis of psittacosis.
8.Association between tobacco smoking and the need for respiratory support and mortality in patients hospitalized with pneumonia
Shan LI ; Yizhen HU ; Yiqian ZHANG ; Canqing YU ; Dianjianyi SUN ; Pei PEI ; Huaidong DU ; Junshi CHEN ; Zhengming CHEN ; Liming LI ; Li WENG ; Jun LYU
Chinese Journal of Epidemiology 2025;46(8):1319-1327
Objective:To explore the impacts of smoking on the need for respiratory support and mortality in patients hospitalized with pneumonia.Methods:A total of 24 367 patients hospitalized with pneumonia from 2009 to 2017 in the China Kadoorie Biobank, were included. Smoking status was self-reported, and data regarding respiratory support during hospitalization and mortality during follow-up were obtained from medical claims and death registries, respectively. OR, HR, and 95% CI were calculated and adjusted for potential confounders using logistic regression models and Cox proportional hazards regression models, respectively. Results:Among males, current smokers or those who quit smoking due to illness had higher risks of requiring respiratory support ( OR=1.15, 95% CI: 1.03-1.29), 1-year mortality ( HR=1.66, 95% CI: 1.32-2.08), and 5-year mortality ( HR=1.32, 95% CI: 1.13-1.54) following pneumonia hospitalization compared to nonsmokers. Male smokers who started smoking at a younger age or with longer smoking duration had the highest mortality risks (trend test both P<0.05). Female current smokers or those who quit smoking due to illness had higher risks of 1-year mortality ( HR=1.62, 95% CI: 1.17-2.23) and 5-year mortality ( HR=1.33, 95% CI: 1.06-1.67). We found no statistically significant difference in 90-day mortality between current smokers/those who quit smoking due to illness and nonsmokers. Conclusions:Smoking was associated with higher risks of requiring respiratory support and mortality in patients hospitalized with pneumonia, especially among males and heavy smokers. These findings highlight the need for targeted strategies to promote smoking cessation in patients hospitalized with pneumonia.
9.Support vector machine model based on gray matter volume for identifying amyotrophic lateral sclerosis and analysis of relevant brain regions
Shan WU ; Haining LI ; Qiuli ZHANG ; Qianqian DUAN ; Xinyi YU ; Xing QIN ; Fangfang HU ; Jiaoting JIN ; Jingxia DANG ; Ming ZHANG
Chinese Journal of Medical Imaging Technology 2025;41(7):1051-1055
Objective To explore the value of support vector machine(SVM)model based on gray matter volume(GMV)for identifying amyotrophic lateral sclerosis(ALS),also to analyze the relevant brain regions.Methods MR 3D T1WI data of 60 ALS patients(ALS group)and 60 healthy volunteers(control group)were retrospectively analyzed.Taken GMV of each brain region obtained by voxel-based morphometry as the input features.F-score analysis was used to select feature with the highest classification accuracy to construct SVM model.Receiver operating characteristic curve was drawn to evaluate the efficacy of SVM model for identifying ALS,and top 10%was used as the weight threshold to obtain gray matter brain regions contributed the most to this model.Results SVM model constructed based on the top 40%GMV features had the highest classification accuracy(82.50%),with sensitivity,specificity and area under the curve(AUG)of 85.05%,80.40%and 0.890,respectively.The left precentral gyrus,left anterior cingulate gyrus and paracingulate gyrus,right middle temporal gyrus,opercular part of left inferior frontal gyrus,right dorsolateral superior frontal gyrus,left temporal pole:middle temporal gyrus,right superior occipital gyrus,orbital part of right middle frontal gyrus,right calcarine fissure and surrounding cortex,right fusiform gyrus were the top 1-10 gray matter brain regions contributed to this model.Conclusion ALS had specific GMV change pattern.SVM model based on GMV could be used to effectively identify ALS,while the left precentral gyrus was the most contributive brain region to this model.
10.Innate immune cell LXR-β deficiency exacerbates hepatic injury and fibrosis in murine models of primary sclerosing cholangitis
Xiaohui FANG ; Yang ZHANG ; Junyao WANG ; Yu ZHANG ; Ziliang KE ; Yiken LIN ; Fangyuan CONG ; Feng ZHANG ; Jianhua ZHOU ; Huiting SU ; Shan CAO ; Yulan LIU ; Jun XU
Liver Research 2025;9(3):239-248
Background and aims:Primary sclerosing cholangitis(PSC)is an autoimmune liver disease characterized by complex pathogenesis and limited available therapeutic options.The mechanisms underlying the development and progression of PSCs remain unclear.Liver X receptor beta(LXR-β)is recognized to modulate lipid metabolism and immune response,but its specific involvement in the PSC has not been elucidated.Here,we explored the role and mechanism of LXR-β in PSC induced by 3,5-diethoxycarbonyl-1,4-dihydro-2,4,6-collidine(DDC).Methods:CRISPR-Cas9 technology was applied to generate Abcb4(coding MDR2,next named as Mdr2),Nr1h2(coding LXR-β,next named as Lxrβ),and Rag2(coding RAG2)knockout mice.DDC was used to induce PSC.Hematoxylin and eosin and Sirius red staining were used to assess the extent of hepatic injury and fibrosis.Flow cytometry was used to observe immune cell subsets.Results:We observed a declining trend in hepatic Lxrβ in the PSC model.Unexpectedly,Lxrβ knockout failed to modulate DDC-induced PSC pathogenesis.Concomitantly,assessment of the influence of Rag2 deficiency on PSC progression revealed the absence of aggravated or alleviated hepatic injury or fibrosis in the Rag2-/-DDC mice.However,Lxrβ depletion intensified DDC-induced PSC in the Rag2-/-mice,with more abundant infiltrative inflammatory cells and more severe liver fibrosis.Compared with Rag2-/-DDC mice,Lxrβ-/-Rag2-/-DDC mice had higher serum ALT and AST levels and mRNA expression of proinflammatory and profibrotic genes.Flow cytometry showed that LXR-β deficiency resulted in a diminished population of hepatic innate immune cells.Conclusion:This study indicated innate immune cell LXR-β deficiency can exacerbate hepatic injury and fibrosis in murine models of PSC suggesting that LXR-β may regulate the function of innate immunity in the fibrotic advancement of PSC.


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