1.Haematococcus pluvialis alleviates bleomycin-induced pulmonary fibrosis in mice by inhibiting transformation of lung fibroblasts into myofibroblast.
Xiao ZHANG ; Jingzhou MAN ; Yong ZHANG ; YunJian ZHENG ; Heping WANG ; Yijun YUAN ; Xi XIE
Journal of Southern Medical University 2025;45(8):1672-1681
OBJECTIVES:
To investigate the effect of Haematococcus pluvialis (HP) on bleomycin (BLM)-induced pulmonary fibrosis in mice and on TGF-β1-induced human fetal lung fibroblasts (HFL1).
METHODS:
Thirty male C57BL/6 mice were randomly divided into control group, BLM-induced pulmonary fibrosis model group, low- and high-dose HP treatment groups (3 and 21 mg/kg, respectively), and 300 mg/kg pirfenidone (positive control) group. The effects of drug treatment for 21 days were assessed by examining respiratory function, lung histopathology, and expression of fibrosis markers in the lung tissues of the mouse models. In TGF-β1-induced HFL1 cell cultures, the effects of treatment with 120, 180 and 240 μg/mL HP or 1.85 μg/mL pirfenidone for 48 h on expression levels of fibrosis markers were evaluated. Transcriptome analysis was carried out using the control cells and cells treated with TGF-β1 and 240 μg/mL HP.
RESULTS:
HP obviously alleviated BLM-induced lung function damage and fibrotic changes in mice, evidenced by improved respiratory function, lung tissue morphology and structure, inflammatory infiltration, and collagen deposition and reduced expressions of fibrotic proteins. HP at the high dose produced similar effect to PFD. In TGF-β1-induced HFL1 cells, treatment with 240 μg/mL HP significantly reduced the mRNA and protein expression levels of α-SMA and FN. Transcriptome analysis revealed that multiple key genes and pathways mediated the protective effect of HP against pulmonary fibrosis.
CONCLUSIONS
HP alleviates pulmonary fibrosis in both the mouse model and cell model, possibly as the result of the synergistic effects of its multiple active components.
Animals
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Pulmonary Fibrosis/chemically induced*
;
Bleomycin/adverse effects*
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Mice, Inbred C57BL
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Male
;
Mice
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Fibroblasts/drug effects*
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Lung/pathology*
;
Transforming Growth Factor beta1/pharmacology*
;
Myofibroblasts/drug effects*
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Humans
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Pyridones
2.Graph Neural Networks and Multimodal DTI Features for Schizophrenia Classification: Insights from Brain Network Analysis and Gene Expression.
Jingjing GAO ; Heping TANG ; Zhengning WANG ; Yanling LI ; Na LUO ; Ming SONG ; Sangma XIE ; Weiyang SHI ; Hao YAN ; Lin LU ; Jun YAN ; Peng LI ; Yuqing SONG ; Jun CHEN ; Yunchun CHEN ; Huaning WANG ; Wenming LIU ; Zhigang LI ; Hua GUO ; Ping WAN ; Luxian LV ; Yongfeng YANG ; Huiling WANG ; Hongxing ZHANG ; Huawang WU ; Yuping NING ; Dai ZHANG ; Tianzi JIANG
Neuroscience Bulletin 2025;41(6):933-950
Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans
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Schizophrenia/pathology*
;
Diffusion Tensor Imaging/methods*
;
Male
;
Female
;
Adult
;
Brain/metabolism*
;
Young Adult
;
Middle Aged
;
White Matter/pathology*
;
Gene Expression
;
Nerve Net/diagnostic imaging*
;
Graph Neural Networks
3.Influencing factors of anxiety before early orthodontic treatment for malocclusion in school-age children
Heping ZHANG ; Ziyan LIN ; Shengxi HE
Chinese Journal of Modern Nursing 2025;31(31):4293-4297
Objective:To explore the current situation and influencing factors of anxiety before early orthodontic treatment for malocclusion in school-age children.Methods:Convenience sampling was used to select 124 school-aged children who underwent early orthodontic treatment for malocclusion at the Hospital of Stomatology, Wenzhou Medical University from October 2023 to October 2024 as study subjects. The Chinese Version of the Modified Yale Preoperative Anxiety Scale (Cm-YPAS) was used to assess pre-treatment anxiety in pediatric patients, while the Self-Rating Anxiety Scale was employed to evaluate parental anxiety, and patient general information was collected. Logistic regression analysis was employed to investigate factors influencing anxiety before early orthodontic treatment in school-age children.Results:The Cm-YPAS scores for 124 school-aged children undergoing early orthodontic treatment were (45.76±7.42), with a pre-treatment anxiety incidence of 54.84% (68/124). Logistic regression analysis showed that age, oral treatment experience, educational background, and parental anxiety score were the influencing factors of anxiety before early orthodontic treatment in school-age children ( P<0.05) . Conclusions:The incidence of pre-treatment anxiety is relatively high among school-age children undergoing early orthodontic treatment. Appropriate nursing interventions should be implemented based on influencing factors to alleviate the pre-treatment anxiety of children.
4.A model predicting the recovery of swallowing after a brainstem hemorrhage
Xiaohui ZHANG ; Yi LI ; Heping LI ; Liugen WANG ; Juanjuan FENG ; Chunhua ZHANG ; Congbin ZENG ; Xi ZENG
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(5):440-445
Objective:To explore the factors influencing the recovery of swallowing function after a brainstem hemorrhage and to construct a prediction model.Methods:Clinical data on 134 persons with dysphagia after a brainstem hemorrhage were collected retrospectively. According to their swallowing ability at discharge, the patients were divided into a swallowing recovery group and a non-recovery group. Univariate correlation analysis and multivariate logistic regression analysis were used to explore the independent factors influencing the recovery of swallowing function and to construct a prediction nomogram. The receiver operating characteristics (ROC) curves were evaluated to analyze the nomogram′s predictive value and those of the relevant influencing factors.Results:Sixty-two of the patients (46%) had recovered their swallowing function at discharge, while 72 (54%) had not. Univariate correlation analysis showed that there had been significant differences in tracheal intubation, NIHSS score, FOIS score, Barthel index and Glasgow coma scale (GCS )score between the two groups, on average. The multivariate logistic regressions showed that a low NIHSS score, a high FOIS score and a high GCS score were independent predictors of swallowing function recovery, so they were used in the prediction model. ROC curve analysis showed that the area under the curve (AUC) of the prediction model was 0.953 (95% CI: 0.902~0.982) with a sensitivity of 87% and a specificity of 93%. The model′s predictions were thus better than using an NIHSS score, GCS score or FOIS score alone. Conclusions:NIHSS score, GCS score and FOIS score can independently predict the recovery of swallowing function after a brainstem hemorrhage. A prediction model constructed using all three has good predictive power.
5.Risk factors and a prediction model for malnutrition after traumatic brain injury
Heping LI ; Zhanmin DING ; Xing ZHANG ; Xuanxuan ZHOU ; Shuya SONG ; Peng LIU ; Cuixia LAN ; Ning WANG
Chinese Journal of Physical Medicine and Rehabilitation 2025;47(11):1011-1016
Objective:To explore the risk factors for malnutrition after a traumatic brain injury and to construct a model which usefully predicts that risk.Methods:This was a retrospective study of 374 patients with a craniocerebral injury for whom the relevant clinical data were available. Based on their nutritional status, they were stratified into a malnutrition group ( n=220) and a control group ( n=154). Univariate and multivariate logistic regressions were evaluated seeking to identify the independent risk factors associated with malnutrition, and a prediction model was constructed based on the results. The model′s discrimination ability and accuracy were assessed using a receiver operating characteristics (ROC) curve. Results:A total of 220 patients (58.8%) developed malnutrition. Multifactorial logistic regression analysis showed that the independent risk factors for malnutrition were: age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8, or a Barthel index ≤40. In the ROC curve analysis, the area under the curve quantifying the model′s ability to predict malnutrition was 0.924 (95% CI: 0.896, 0.951), with a sensitivity of 0.868 and a specificity of 0.857, indicating its good prediction performance. Conclusions:Age ≥60 years, pulmonary infection, dysphagia, cognitive impairment, a GCS score ≤8 or a Barthel index ≤40 are independent predictors of malnutrition after a traumatic brain injury. The prediction model constructed based on those risk factors has demonstrated useful predictive power for malnutrition.
6.History, Experience, Opportunities, and Challenges in Esophageal Cancer Prevention and Treatment in Linxian, Henan Province, A High Incidence Area for Esophageal Cancer
Lidong WANG ; Xiaoqian ZHANG ; Xin SONG ; Xueke ZHAO ; Duo YOU ; Lingling LEI ; Ruihua XU ; Jin HUANG ; Wenli HAN ; Ran WANG ; Qide BAO ; Aifang JI ; Lei MA ; Shegan GAO
Cancer Research on Prevention and Treatment 2025;52(4):251-255
Linxian County in Henan Province, Northern China is known as the region with the highest incidence and mortality rate of esophageal cancer worldwide. Since 1959, the Henan medical team has conducted field work on esophageal cancer prevention and treatment in Linxian. Through three generations of effort exerted by oncologists over 65 years of research on esophageal cancer prevention and treatment in Linxian, the incidence rate of esophageal squamous cell carcinoma in this area has dropped by nearly 50%, and the 5-year survival rate has increased to 40%, reaching the international leading
7.Protective Effect of Xuebijing on Lung Injury in Rats with Severe Acute Pancreatitis by Blocking FPRs/NLRP3 Inflammatory Pathway
Guixian ZHANG ; Dawei LIU ; Xia LI ; Xijing LI ; Pengcheng SHI ; Zhiqiao FENG ; Jun CAI ; Wenhui ZONG ; Xiumei ZHAO ; Hongbin LIU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(1):113-120
ObjectiveTo explore the therapeutic effect of Xuebijing injection (XBJ) on severe acute pancreatitis induced acute lung injury (SAP-ALI) by regulating formyl peptide receptors (FPRs)/nucleotide-binding oligomerization domain-like receptor 3 (NLRP3) inflammatory pathway. MethodsSixty rats were randomly divided into a sham group, a SAP-ALI model group, low-, medium-, and high-dose XBJ groups (4, 8, and 12 mL·kg-1), and a positive drug (BOC2, 0.2 mg·kg-1) group. For the sham group, the pancreas of rats was only gently flipped after laparotomy, and then the abdomen was closed, while for the remaining five groups, SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate (Na-Tc) via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling, and the expression of interleukin (IL)-1β, IL-6, and tumor necrosis factor-α (TNF-α) in plasma was measured by enzyme-linked immunosorbent assay (ELISA). The amount of ascites was measured, and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin (HE) staining to observe pathological changes and then scored. The protein expression levels of FPR1, FPR2, and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1, FPR2, and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was used to detect the mRNA expression of FPR1, FPR2, and NLRP3 in lung tissue. ResultsCompared with the sham group, the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue (P<0.01), serious pathological changes of lung tissue, a significantly increased pathological score (P<0.01), and significantly increased protein and mRNA expression levels of FPR1, FPR2, and NLRP3 in lung tissue (P<0.01). After BOC2 intervention, the above detection indicators were significantly reversed (P<0.01). After treatment with XBJ, the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue, which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.
8.Telpegfilgrastim for chemotherapy-induced neutropenia in breast cancer: A multicenter, randomized, phase 3 study.
Yuankai SHI ; Qingyuan ZHANG ; Junsheng WANG ; Zhong OUYANG ; Tienan YI ; Jiazhuan MEI ; Xinshuai WANG ; Zhidong PEI ; Tao SUN ; Junheng BAI ; Shundong CANG ; Yarong LI ; Guohong FU ; Tianjiang MA ; Huaqiu SHI ; Jinping LIU ; Xiaojia WANG ; Hongrui NIU ; Yanzhen GUO ; Shengyu ZHOU ; Li SUN
Chinese Medical Journal 2025;138(4):496-498
9.Efficacy of balloon stent or oral estrogen for adhesion prevention in septate uterus: A randomized clinical trial.
Shan DENG ; Zichen ZHAO ; Limin FENG ; Xiaowu HUANG ; Sumin WANG ; Xiang XUE ; Lei YAN ; Baorong MA ; Lijuan HAO ; Xueying LI ; Lihua YANG ; Mingyu SI ; Heping ZHANG ; Zi-Jiang CHEN ; Lan ZHU
Chinese Medical Journal 2025;138(8):985-987
10.Application of cold atmospheric plasmas in prevention and treatment of military training injuries
Heping LI ; Dingxin LIU ; Yunen LIU ; Xue WEN ; Hengxin ZHAO ; Jishen ZHANG ; Xiang LI ; Peifang CONG ; Hailu WANG ; Wei WEI ; Yiyun LIU ; Qi CHANG
Military Medical Sciences 2025;49(1):8-14
Military training represents one of the most essential activities for troops during peacetime,of which the prevention and treatment of training-induced injuries are a very important part.Recent findings of research suggest that cold atmospheric plasma(CAP)exhibits a distinctive and multifaceted superiority in terms of broad-spectrum sterilization,rapid blood coagulation and healing promotion for wounds.Consequently,CAP has good prospects of applications in diverse fields such as clinical medicine,emergency rescue and military medicine.Based on a review of the research progress in plasma medicine,the applicability of CAP in the prevention and treatment of military training injuries was discussed in this paper by focusing on the urgent issues related to military training injury,including the typical application scenarios and methods for CAP,the safety and effectiveness of plasma trauma prevention and treatment,and the key issues facing the prevention and treatment of military training injuries.

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