1.Water extract of Rehmannia glutinosa improves bleomycin-induced pulmonary fibrosis in mice and its metabolic mechanism
Zi-yu ZHANG ; Meng-nan ZENG ; Peng-li GUO ; Yu-han ZHANG ; Xiang-da LI ; Yan-xing WU ; Shuang-ying FU ; Zi-chang LIAN ; Wei-sheng FENG ; Xiao-ke ZHENG
Chinese Pharmacological Bulletin 2025;41(12):2315-2325
Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.
2.Outcome of endovascular aortic repair under digital subtraction angiography in the treatment of Stanford type B aortic dissection
Jian-qiang WU ; Zheng WANG ; Zhi WEN ; Ming-wu TIAN ; Jing LYU ; Chang-xue WU
Journal of Regional Anatomy and Operative Surgery 2025;34(1):28-32
Objective To investigate the outcome of endovascular aortic repair under digital subtraction angiography (DSA) in the treatment of Stanford type B aortic dissection (TBAD). Methods A total of 104 TBAD patients admitted to our hospital from October 2019 to October 2022 were selected,of which 52 patients treated with best medication treat (BMT) were included into the BMT group,and 52 patients who underwent endovascular aortic repair under DSA on the basis of BMT were included into the combination group. The acute physiological and chronic health evaluation Ⅱ (APACHE Ⅱ) score,serum inflammatory indicators,liver and kidney function indicators,and coagulation function indicators before and after treatment,and hospital stay were compared between the two groups. Results The APACHE Ⅱ score,liver and kidney function indicators and inflammatory factors after treatment in the combination group were lower than those before treatment and in the BMT group (P<0.05). The combination group had more significant changes of coagulation function indicators after treatment than those before treatment and in the BMT group (P<0.05). The hospital stay of the combination group was shorter than that of the BMT group (P<0.05). Conclusion Endovascular aortic repair under DSA for TBAD can reduce inflammatory response,improve liver and kidney functions and coagulation function,and shorten the hospital stay,which has a better therapeutic effect than conservative drug treatment.
3.Ultrasound radiomics combined with machine learning for early diagnosis of seronegative hashimoto’s thyroiditis
Wenjun WU ; Chang LIU ; Shengsheng YAO ; Daming LIU ; Yuan LUO ; Yihan SUN ; Ting RUAN ; Mengyou LIU ; Li SHI ; Mingming XIAO ; Qi ZHANG ; Zhengshuai LIU ; Xingai JU ; Jiahao WANG ; Xiang FEI ; Li LU ; Yang GAO ; Ying ZHANG ; Liying GONG ; Xuanyu CHEN ; Wanli ZHENG ; Xiali NIU ; Xiao YANG ; Huimei CAO ; Shijie CHANG ; Zuoxin MA ; Jianchun CUI
Chinese Journal of Endocrine Surgery 2025;19(3):313-319
Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.
4.Interpretation of ACG clinical practice guideline in 2024:treatment of helicobacter pylori infection
Xinguo WU ; Ruhua ZHENG ; Xin CHANG ; Chunyan NIU ; Fuyu ZHANG
The Journal of Practical Medicine 2025;41(4):459-464
Helicobacter pylori(H.pylori)infection is a prevalent global health issue that can lead to indiges-tion,peptic ulcer disease,and gastric cancer.With ongoing research advancements,significant progress has been made in the eradication of H.pylori.Based on these important findings from North America,the American College of Gastroenterology(ACG)has released updated clinical practice guideline(CPG),published in the American Journal of Gastroenterology in September 2024.Compared to previous guidelines,key updates include:increased resistance rates to critical antibiotics used for H.pylori treatment,such as clarithromycin and levofloxacin,which have reduced the efficacy of common treatment regimens containing these antibiotics;and research on novel treat-ment options for newly diagnosed patients,including new antibiotic alternatives(e.g.,rifampicin)or more potent next-generation gastric acid inhibitors(e.g.,potassium-competitive acid blockers,PCABs).These updates provide the latest evidence and reference for the clinical management of H.pylori infection.
5.Ultrasound radiomics combined with machine learning for early diagnosis of seronegative hashimoto’s thyroiditis
Wenjun WU ; Chang LIU ; Shengsheng YAO ; Daming LIU ; Yuan LUO ; Yihan SUN ; Ting RUAN ; Mengyou LIU ; Li SHI ; Mingming XIAO ; Qi ZHANG ; Zhengshuai LIU ; Xingai JU ; Jiahao WANG ; Xiang FEI ; Li LU ; Yang GAO ; Ying ZHANG ; Liying GONG ; Xuanyu CHEN ; Wanli ZHENG ; Xiali NIU ; Xiao YANG ; Huimei CAO ; Shijie CHANG ; Zuoxin MA ; Jianchun CUI
Chinese Journal of Endocrine Surgery 2025;19(3):313-319
Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.
6.Water extract of Rehmannia glutinosa improves bleomycin-induced pulmonary fibrosis in mice and its metabolic mechanism
Zi-yu ZHANG ; Meng-nan ZENG ; Peng-li GUO ; Yu-han ZHANG ; Xiang-da LI ; Yan-xing WU ; Shuang-ying FU ; Zi-chang LIAN ; Wei-sheng FENG ; Xiao-ke ZHENG
Chinese Pharmacological Bulletin 2025;41(12):2315-2325
Aim To investigate the intervention effect of Rehmannia radix water extract on bleomycin(BLM)-induced pulmonary fibrosis in mice combined with metabolomics and to reveal the potential mechanism,in order to provide new ideas for clinical treatment of pul-monary fibrosis.Methods Male C57BL/6N mice were randomly divided into the control group,model group,pirfenidone group(positive control,PFD,270 mg·kg-1),and low dose(DH-L,4.55 g·kg-1)group,medium dose(DH-M,9.1 g·kg-1)group and high dose(DH-H,18.2 g·kg-1)group of Rehman-nia.Except for the control group,BLM(5 mg·kg-1)was instilled into the trachea to establish the model of pulmonary fibrosis in the other groups.The survival rate,lung index and blood oxygen saturation of mice in each group were evaluated.HE and Masson staining were used to observe the pathological changes of lung tissue.WBP was used to detect lung function.Flow cytometry was used to detect the apoptosis of primary lung cells,ROS and immune cells.ELISA was used to detect the levels of fibrosis markers and inflammatory factors(α-SMA,collagen Ⅰ,collagen Ⅲ,TGF-β1,TNF-α,IL-1 β,and IL-6).Biochemical method was employed to detect the contents of GSH-Px,T-SOD and MDA.Liquid chromatograph mass spectrometer(LC-MS)metabolomics was used to analyze the changes of serum metabolic profile.Results Water extract of Re-hmannia significantly increased the survival rate,oxy-gen saturation and lung function of mice with pulmona-ry fibrosis,reduced the lung coefficient,ameliorated pathological damage and collagen deposition in lung tissue,reduced the levels of apoptosis and oxidative stress,and down-regulated the levels of inflammatory factors in lung tissue.It regulated the levels of metabo-lites such as bile acid metabolism,sphingolipid metabo-lism,and unsaturated fatty acid metabolism.Conclu-sions Water extract of Rehmannia inhibits lung injury and collagen deposition in mice with pulmonary fibrosis by inhibiting inflammatory response,which may be a-chieved by regulating the levels of inflammatory factors through the metabolic pathways of bile acid and sphin-golipid.
7.Analysis of the current status of domestic medical drainage tube patents based on patent information mining
Feng MA ; Chuxin CHANG ; Yan LI ; Lengjianghai ZHENG ; Ruimin GONG ; Juntao DUAN ; Rongqian WU ; Yi LV ; Xiaoyun KANG
Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(6):1013-1019
Objective To analyze the current status and emerging technology trends in domestic medical drainage tube patents,so as to explore possible factors for low patent conversion rates.Methods Patents associated with"drainage tube","medical drainage tube","surgical drainage tube"and related terms were retrieved from the National Intellectual Property Administration Database and the Innojoy Patent Search Engine,covering the period from 2010 to 2020.Screening and visual analysis were conducted using Excel and SPSS 27.0.Results A total of 2 895 relevant patents were identified,comprising 2 489 utility model patents,367 invention patents and 39 design patents.The number of patent applications demonstrated a year-on-year growth trend,with a higher concentration in eastern coastal regions and provinces housing numerous top-tier hospitals and medical institutions.Approximately 49.26%of the patents filed by individuals were affiliated with hospitals,universities,or enterprises.Innovation hotspots included the design,functionality,performance,and safety aspects of drainage tubes and probes.Of the patents,72.61%were invalid,and 61.73%had a survival period of three years or less.Only 5.15%were commercially utilized through transfers,pledges,or licensing.Conclusion Domestic patent applications for medical drainage tubes have seen rapid growth,with a focus on enhancing tube structures such as sleeves,balloons,drainage holes,and threaded designs.However,the unsatisfactory situation of patent conversion and operation have been mainly limited by factors such as weak core technology of patents,insufficient awareness of achievements conversion,poor operation of patent conversion mechanism,insufficient market promotion,and insufficient integration of industry,academia,and research.To address this issue,enhancing intellectual property protection,revitalizing valid patents,and expanding transformation channels would benefit patients and facilitate hospitals'high-quality development,injecting new vitality into the health industry.
8.Proton beam range verification algorithm for pixelated prompt gamma-ray imaging detector
Liwang YANG ; Haifeng OU ; Jinlong WANG ; Xiaoguang WU ; Ziyang HE ; Jian'an ZOU ; Yun ZHENG ; Congbo LI ; Shaoxiong GUAN ; Jing SHI ; Jinze LI ; Yunqiu LI ; Rui HONG ; Hao'en CHANG ; Mengting WANG ; Kaijie WEI
Chinese Journal of Medical Physics 2025;42(3):281-287
In proton therapy,prompt gamma-ray imaging is considered as one of the most promising methods for assessing proton beam range.Prompt gamma-ray imaging detector evaluates the proton beam range based on the prompt gamma-ray distribution obtained by the prompt gamma-ray imaging system,which enables high-precision measurement of the proton beam range.Herein a proton beam range verification algorithm is designed for the newly developed prototype of the range verification detector(pixelated prompt gamma-ray imaging detector),which verifies the range estimation accuracy of the prototype for different phantoms and different energies of homogeneous media through Monte Carlo simulation.The results show that the accuracy of the proton beam range verification algorithm is within 0.5 mm of the safety margin error of the Bragg peak,and the measurement accuracy is significantly improved with the increase of the number of protons,indicating that the prototype algorithm is feasible for proton beam range verification.
9.Interpretation of ACG clinical practice guideline in 2024:treatment of helicobacter pylori infection
Xinguo WU ; Ruhua ZHENG ; Xin CHANG ; Chunyan NIU ; Fuyu ZHANG
The Journal of Practical Medicine 2025;41(4):459-464
Helicobacter pylori(H.pylori)infection is a prevalent global health issue that can lead to indiges-tion,peptic ulcer disease,and gastric cancer.With ongoing research advancements,significant progress has been made in the eradication of H.pylori.Based on these important findings from North America,the American College of Gastroenterology(ACG)has released updated clinical practice guideline(CPG),published in the American Journal of Gastroenterology in September 2024.Compared to previous guidelines,key updates include:increased resistance rates to critical antibiotics used for H.pylori treatment,such as clarithromycin and levofloxacin,which have reduced the efficacy of common treatment regimens containing these antibiotics;and research on novel treat-ment options for newly diagnosed patients,including new antibiotic alternatives(e.g.,rifampicin)or more potent next-generation gastric acid inhibitors(e.g.,potassium-competitive acid blockers,PCABs).These updates provide the latest evidence and reference for the clinical management of H.pylori infection.
10.Liquid Chromatography-Tandem Mass Spectrometry Outperforms Radioimmunoassay in Guiding Surgical Decisions Based on Adrenal Venous Sampling in Primary Aldosteronism
Bo-Ching LEE ; Chien-Wei HUANG ; Chin-Chen CHANG ; Guan-Yuan CHEN ; Jia-Zheng HUANG ; Pin-Chen CHEN ; Te-I WENG ; Kao-Lang LIU ; Vin-Cent WU ; Yen-Hung LIN ;
Endocrinology and Metabolism 2025;40(6):1002-1011
Background:
Adrenal venous sampling (AVS) is essential for diagnosing unilateral aldosterone oversecretion in primary aldosteronism (PA). Traditionally, AVS relies on radioimmunoassay (RIA) to measure plasma aldosterone concentration (PAC), although RIA has limited specificity and considerable variability. This study evaluated the role of liquid chromatography-tandem mass spectrometry (LC-MS/MS) in AVS and its impact on clinical outcomes.
Methods:
Among 230 patients with PA (May 2020 to April 2023) who underwent AVS, successful sampling was achieved in 182 patients (79.1%) under unstimulated conditions and 206 patients (89.6%) under stimulated conditions. PAC levels from peripheral and adrenal veins measured by LC-MS/MS were compared with RIA results. Patient outcomes were categorized according to the Primary Aldosteronism Surgical Outcomes criteria.
Results:
LC-MS/MS showed significant correlations with PAC levels measured by RIA in AVS (r=0.40 [unstimulated] and r=0.56 [stimulated]; both P<0.001). However, lateralization concordance between RIA and LC-MS/MS was moderate, at only 57.7% (unstimulated) and 64.6% (stimulated). LC-MS/MS identified more unilateral disease than RIA under both unstimulated (61.5% vs. 37.4%, P<0.001) and stimulated conditions (36.4% vs. 9.7%, P<0.001). Patients achieving complete clinical success after adrenalectomy were more accurately identified by LC-MS/MS than RIA under stimulated (55.6% vs. 22.2%, P=0.035), but not in unstimulated conditions.
Conclusion
LC-MS/MS outperformed RIA in identifying unilateral disease, resulting in higher rates of complete clinical success in adrenalectomy patients when surgical decisions were based on LC-MS/MS lateralization results.

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