1.Effect of Yinqi Sanhuang Jiedu Decoction on Piezo1-YAP Signaling Axis and Macrophage Polarization in Mouse Model of Liver Fibrosis
Chao LEI ; Yanbo LI ; Houyan ZHANG ; Meng QIAO ; Qingjuan WU ; Wenliang LYU ; Zhifei WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):142-152
ObjectiveTo validate the therapeutic effect of Yinqi Sanhuang Jiedu decoction (YQSH) on a mouse model of carbon tetrachloride (CCl4)-induced liver fibrosis and to investigate its correlations with the Piezo-type mechanosensitive ion channel component 1 (Piezo1)-Yes-associated protein (YAP) mechanical signaling axis and macrophage polarization. MethodsFifty-four C57BL/6J mice were randomized into a blank control group, a 4-week model group, a 6-week model group, a 8-week model group, a positive drug (silymarin, 55 mg·kg-1·d-1) group, and low-, medium-, and high-dose (8.325, 16.65, 33.3 g·kg-1·d-1, respectively) YQSH groups. Except the 6-week model group (n=12), each of the other groups had 6 mice. Mice in other groups except the blank control group received intraperitoneal injections of 10% CCl4 twice weekly for the modeling of liver fibrosis. Drug interventions began one week after the initial modeling through gavage, and the blank control and model groups received 0.2 mL of normal saline via gavage. The histopathological changes and collagen deposition in the liver were observed via hematoxylin-eosin (HE), Masson's trichrome, and Sirius red staining. Serum activities of alanine aminotransferase (ALT) and aspartate aminotransferase (AST), as well as serum levels of total protein (TP), albumin (ALB), total bilirubin (TBIL), hyaluronic acid (HA), laminin (LN), procollagen type Ⅲ (PCⅢ), and collagen type Ⅳ (Ⅳ-C), were measured. The levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the liver tissue were determined by enzyme-linked immunosorbent assay (ELISA). The protein and mRNA levels of Piezo1 and YAP1 in the liver tissue were determined by immunohistochemistry (IHC) and Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR), respectively. Co-localization of Piezo1 with YAP1, and YAP1 with inducible nitric oxide synthase (iNOS) was observed by the immunofluorescence (IF) assay. The proportions of M1-type (F4/80+CD80+) and M2-type (F4/80+CD206+) macrophages in the liver tissue were examined by flow cytometry. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses and gene set enrichment analysis (GSEA) were performed through transcriptomic sequencing. ResultsCompared with the blank control group, the model group exhibited gradually worsened liver fibrosis at the 4th, 6th, and 8th weeks. The 6- and 8-week model groups showcased inflammatory cell infiltration and collagen deposition in the liver (P<0.01) and upregulated protein levels of both Piezo1 and YAP1 (P<0.01). Compared with the model groups, treatment with YQSH improved the liver function (P<0.05, P<0.01), alleviated liver fibrosis (P<0.05, P<0.01), and reduced intrahepatic inflammatory cell infiltration and collagen deposition (P<0.01). Furthermore, the treatment downregulated the protein and mRNA levels of Piezo1 and YAP1 (P<0.05, P<0.01), lowered the levels of inflammatory factors TNF-α and IL-1β (P<0.05, P<0.01), and decreased the ratio of CD80 (M1-type)/CD206 (M2-type) macrophage proteins (P<0.01). The IF assay showed co-localization of YAP1 with Piezo1 and iNOS. Compared with the model groups, YQSH treatment downregulated the expression of Piezo1, YAP1, and iNOS (P<0.05, P<0.01). Transcriptomic analysis suggested that the anti-liver fibrosis effect of YQSH may be related to the Hippo signaling pathway (P<0.05). ConclusionThe anti-liver fibrosis effect of YQSH may be related to its inhibition of the Piezo1-YAP signaling axis and regulation of macrophage polarization.
2.Effect of Yinqi Sanhuang Jiedu Decoction on Piezo1-YAP Signaling Axis and Macrophage Polarization in Mouse Model of Liver Fibrosis
Chao LEI ; Yanbo LI ; Houyan ZHANG ; Meng QIAO ; Qingjuan WU ; Wenliang LYU ; Zhifei WANG
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(20):142-152
ObjectiveTo validate the therapeutic effect of Yinqi Sanhuang Jiedu decoction (YQSH) on a mouse model of carbon tetrachloride (CCl4)-induced liver fibrosis and to investigate its correlations with the Piezo-type mechanosensitive ion channel component 1 (Piezo1)-Yes-associated protein (YAP) mechanical signaling axis and macrophage polarization. MethodsFifty-four C57BL/6J mice were randomized into a blank control group, a 4-week model group, a 6-week model group, a 8-week model group, a positive drug (silymarin, 55 mg·kg-1·d-1) group, and low-, medium-, and high-dose (8.325, 16.65, 33.3 g·kg-1·d-1, respectively) YQSH groups. Except the 6-week model group (n=12), each of the other groups had 6 mice. Mice in other groups except the blank control group received intraperitoneal injections of 10% CCl4 twice weekly for the modeling of liver fibrosis. Drug interventions began one week after the initial modeling through gavage, and the blank control and model groups received 0.2 mL of normal saline via gavage. The histopathological changes and collagen deposition in the liver were observed via hematoxylin-eosin (HE), Masson's trichrome, and Sirius red staining. Serum activities of alanine aminotransferase (ALT) and aspartate aminotransferase (AST), as well as serum levels of total protein (TP), albumin (ALB), total bilirubin (TBIL), hyaluronic acid (HA), laminin (LN), procollagen type Ⅲ (PCⅢ), and collagen type Ⅳ (Ⅳ-C), were measured. The levels of tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the liver tissue were determined by enzyme-linked immunosorbent assay (ELISA). The protein and mRNA levels of Piezo1 and YAP1 in the liver tissue were determined by immunohistochemistry (IHC) and Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR), respectively. Co-localization of Piezo1 with YAP1, and YAP1 with inducible nitric oxide synthase (iNOS) was observed by the immunofluorescence (IF) assay. The proportions of M1-type (F4/80+CD80+) and M2-type (F4/80+CD206+) macrophages in the liver tissue were examined by flow cytometry. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses and gene set enrichment analysis (GSEA) were performed through transcriptomic sequencing. ResultsCompared with the blank control group, the model group exhibited gradually worsened liver fibrosis at the 4th, 6th, and 8th weeks. The 6- and 8-week model groups showcased inflammatory cell infiltration and collagen deposition in the liver (P<0.01) and upregulated protein levels of both Piezo1 and YAP1 (P<0.01). Compared with the model groups, treatment with YQSH improved the liver function (P<0.05, P<0.01), alleviated liver fibrosis (P<0.05, P<0.01), and reduced intrahepatic inflammatory cell infiltration and collagen deposition (P<0.01). Furthermore, the treatment downregulated the protein and mRNA levels of Piezo1 and YAP1 (P<0.05, P<0.01), lowered the levels of inflammatory factors TNF-α and IL-1β (P<0.05, P<0.01), and decreased the ratio of CD80 (M1-type)/CD206 (M2-type) macrophage proteins (P<0.01). The IF assay showed co-localization of YAP1 with Piezo1 and iNOS. Compared with the model groups, YQSH treatment downregulated the expression of Piezo1, YAP1, and iNOS (P<0.05, P<0.01). Transcriptomic analysis suggested that the anti-liver fibrosis effect of YQSH may be related to the Hippo signaling pathway (P<0.05). ConclusionThe anti-liver fibrosis effect of YQSH may be related to its inhibition of the Piezo1-YAP signaling axis and regulation of macrophage polarization.
3.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
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Humans
;
Delivery of Health Care
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Generative Artificial Intelligence
4.Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine.
Xin-Ran DU ; Meng-Yi WU ; Mao-Can TAO ; Ying LIN ; Chao-Ying GU ; Min-Feng WU ; Yi CAO ; Da-Can CHEN ; Wei LI ; Hong-Wei WANG ; Ying WANG ; Yi WANG ; Han-Zhi LU ; Xin LIU ; Xiang-Fei SU ; Fu-Lun LI
Journal of Integrative Medicine 2025;23(6):641-653
Traditional Chinese medicine (TCM) is a well-accepted therapy for atopic dermatitis (AD). However, there are currently no evidence-based guidelines integrating TCM and Western medicine for the treatment of AD, limiting the clinical application of such combined approaches. Therefore, the China Association of Chinese Medicine initiated the development of the current guideline, focusing on key issues related to the use of TCM in the treatment of AD. This guideline was developed in accordance with the principles of the guideline formulation manual published by the World Health Organization. A comprehensive review of the literature on the combined use of TCM and Western medicine to treat AD was conducted. The findings were extensively discussed by experts in dermatology and pharmacy with expertise in both TCM and Western medicine. This guideline comprises 23 recommendations across seven major areas, including TCM syndrome differentiation and classification of AD, principles and application scenarios of TCM combined with Western medicine for treating AD, outcome indicators for evaluating clinical efficacy of AD treatment, integration of TCM pattern classification and Western medicine across disease stages, daily management of AD, the use of internal TCM therapies and proprietary Chinese medicines, and TCM external treatments. Please cite this article as: Du XR, Wu MY, Tao MC, Lin Y, Gu CY, Wu MF, Cao Y, Chen DC, Li W, Wang HW, Wang Y, Wang Y, Lu HZ, Liu X, Su XF, Li FL. Clinical practice guidelines for the diagnosis and treatment of atopic dermatitis with integrative traditional Chinese and Western medicine. J Integr Med. 2025; 23(6):641-653.
Dermatitis, Atopic/drug therapy*
;
Humans
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Medicine, Chinese Traditional/methods*
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Integrative Medicine
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Drugs, Chinese Herbal/therapeutic use*
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Practice Guidelines as Topic
5.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
6.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
7.Transforaminal interbody debridement and fusion with antibiotic-impregnated bone graft to treat pyogenic discitis and vertebral osteomyelitis: a comparative study in Asian population
Chao-Chien CHANG ; Hsiao-Kang CHANG ; Meng-Ling LU ; Adam WEGNER ; Re-Wen WU ; Tsung-Cheng YIN
Asian Spine Journal 2025;19(1):38-45
Methods:
Thirty patients with PDVO of the lumbar or thoracic spine treated with transforaminal interbody debridement and fusion (TIDF) with AIBG between March 2014 and May 2022 were reviewed (AIBG group). For comparative analysis, 28 PDVO patients who underwent TIDF without AIBG between January 2009 and June 2011 were enrolled (non-AIBG group). The minimum follow-up duration was 2 years. Clinical characteristics and surgical indications were comparable in the two groups. C-reactive protein (CRP) levels and the postoperative antibiotics course were compared between the two groups.
Results:
Surgical treatment for PDVO resulted in clinical improvement and adequate infection control. Despite the shorter postoperative intravenous antibiotic duration (mean: 19.0 days vs. 39.8 days), the AIBG group had significantly lower CRP levels at postoperative 4 and 6 weeks. The mean Visual Analog Scale pain scores improved from 7.3 preoperatively to 2.2 at 6 weeks postoperatively. The average angle correction at the last follow-up was 7.9°.
Conclusions
TIDF with AIBG for PDVO can achieve local infection control with a faster reduction in CRP levels, leading to a shorter antibiotic duration.
8.Transforaminal interbody debridement and fusion with antibiotic-impregnated bone graft to treat pyogenic discitis and vertebral osteomyelitis: a comparative study in Asian population
Chao-Chien CHANG ; Hsiao-Kang CHANG ; Meng-Ling LU ; Adam WEGNER ; Re-Wen WU ; Tsung-Cheng YIN
Asian Spine Journal 2025;19(1):38-45
Methods:
Thirty patients with PDVO of the lumbar or thoracic spine treated with transforaminal interbody debridement and fusion (TIDF) with AIBG between March 2014 and May 2022 were reviewed (AIBG group). For comparative analysis, 28 PDVO patients who underwent TIDF without AIBG between January 2009 and June 2011 were enrolled (non-AIBG group). The minimum follow-up duration was 2 years. Clinical characteristics and surgical indications were comparable in the two groups. C-reactive protein (CRP) levels and the postoperative antibiotics course were compared between the two groups.
Results:
Surgical treatment for PDVO resulted in clinical improvement and adequate infection control. Despite the shorter postoperative intravenous antibiotic duration (mean: 19.0 days vs. 39.8 days), the AIBG group had significantly lower CRP levels at postoperative 4 and 6 weeks. The mean Visual Analog Scale pain scores improved from 7.3 preoperatively to 2.2 at 6 weeks postoperatively. The average angle correction at the last follow-up was 7.9°.
Conclusions
TIDF with AIBG for PDVO can achieve local infection control with a faster reduction in CRP levels, leading to a shorter antibiotic duration.
9.Transforaminal interbody debridement and fusion with antibiotic-impregnated bone graft to treat pyogenic discitis and vertebral osteomyelitis: a comparative study in Asian population
Chao-Chien CHANG ; Hsiao-Kang CHANG ; Meng-Ling LU ; Adam WEGNER ; Re-Wen WU ; Tsung-Cheng YIN
Asian Spine Journal 2025;19(1):38-45
Methods:
Thirty patients with PDVO of the lumbar or thoracic spine treated with transforaminal interbody debridement and fusion (TIDF) with AIBG between March 2014 and May 2022 were reviewed (AIBG group). For comparative analysis, 28 PDVO patients who underwent TIDF without AIBG between January 2009 and June 2011 were enrolled (non-AIBG group). The minimum follow-up duration was 2 years. Clinical characteristics and surgical indications were comparable in the two groups. C-reactive protein (CRP) levels and the postoperative antibiotics course were compared between the two groups.
Results:
Surgical treatment for PDVO resulted in clinical improvement and adequate infection control. Despite the shorter postoperative intravenous antibiotic duration (mean: 19.0 days vs. 39.8 days), the AIBG group had significantly lower CRP levels at postoperative 4 and 6 weeks. The mean Visual Analog Scale pain scores improved from 7.3 preoperatively to 2.2 at 6 weeks postoperatively. The average angle correction at the last follow-up was 7.9°.
Conclusions
TIDF with AIBG for PDVO can achieve local infection control with a faster reduction in CRP levels, leading to a shorter antibiotic duration.
10.Quercetin Confers Protection against Sepsis-Related Acute Respiratory Distress Syndrome by Suppressing ROS/p38 MAPK Pathway.
Wei-Chao DING ; Juan CHEN ; Quan LI ; Yi REN ; Meng-Meng WANG ; Wei ZHANG ; Xiao-Hang JI ; Xin-Yao WU ; Shi-Nan NIE ; Chang-Bao HUANG ; Zhao-Rui SUN
Chinese journal of integrative medicine 2025;31(11):1011-1020
OBJECTIVE:
To identify the underlying mechanism by which quercetin (Que) alleviates sepsis-related acute respiratory distress syndrome (ARDS).
METHODS:
In vivo, C57BL/6 mice were assigned to sham, cecal ligation and puncture (CLP), and CLP+Que (50 mg/kg) groups (n=15 per group) by using a random number table. The sepsisrelated ARDS mouse model was established using the CLP method. In vitro, the murine alveolar macrophages (MH-S) cells were classified into control, lipopolysaccharide (LPS), LPS+Que (10 μmol/L), and LPS+Que+acetylcysteine (NAC, 5 mmol/L) groups. The effect of Que on oxidative stress, inflammation, and apoptosis in mice lungs and MH-S cells was determined, and the mechanism with reactive oxygen species (ROS)/p38 mitogen-activated protein kinase (MAPK) pathway was also explored both in vivo and in vitro.
RESULTS:
Que alleviated lung injury in mice, as reflected by a reversal of pulmonary histopathologic changes as well as a reduction in lung wet/dry weight ratio and neutrophil infiltration (P<0.05 or P<0.01). Additionally, Que improved the survival rate and relieved gas exchange impairment in mice (P<0.01). Que treatment also remarkedly reduced malondialdehyde formation, superoxide dismutase and catalase depletion, and cell apoptosis both in vivo and in vitro (P<0.05 or P<0.01). Moreover, Que treatment diminished the release of inflammatory factors interleukin (IL)-1β, tumor necrosis factor-α, and IL-6 both in vivo and in vitro (P<0.05 or P<0.01). Mechanistic investigation clarifified that Que administration led to a decline in the phosphorylation of p38 MAPK in addition to the suppression of ROS expression (P<0.01). Furthermore, in LPS-induced MH-S cells, ROS inhibitor NAC further inhibited ROS/p38 MAPK pathway, as well as oxidative stress, inflammation, and cell apoptosis on the basis of Que treatment (P<0.05 or P<0.01).
CONCLUSION
Que was found to exert anti-oxidative, anti-inflammatory, and anti-apoptotic effects by suppressing the ROS/p38 MAPK pathway, thereby conferring protection for mice against sepsis-related ARDS.
Animals
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Sepsis/drug therapy*
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Quercetin/therapeutic use*
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Respiratory Distress Syndrome/enzymology*
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p38 Mitogen-Activated Protein Kinases/metabolism*
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Mice, Inbred C57BL
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Reactive Oxygen Species/metabolism*
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Apoptosis/drug effects*
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Male
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Oxidative Stress/drug effects*
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MAP Kinase Signaling System/drug effects*
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Lung/drug effects*
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Mice
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Lipopolysaccharides
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Macrophages, Alveolar/pathology*
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Inflammation/pathology*
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Protective Agents/therapeutic use*

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