1.Changes and Trends in the microbiological-related standards in the Chinese Pharmacopoeia 2025 Edition
FAN Yiling ; ZHU Ran ; YANG Yan ; JIANG Bo ; SONG Minghui ; WANG Jing ; LI Qiongqiong ; LI Gaomin ; WANG Shujuan ; SHAO Hong ; MA Shihong ; CAO Xiaoyun ; HU Changqin ; MA Shuangcheng, ; YANG Meicheng
Drug Standards of China 2025;26(1):093-098
Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.
2.Knowledge map and visualization analysis of pulmonary nodule/early-stage lung cancer prediction models
Yifeng REN ; Qiong MA ; Hua JIANG ; Xi FU ; Xueke LI ; Wei SHI ; Fengming YOU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(01):100-107
Objective To reveal the scientific output and trends in pulmonary nodules/early-stage lung cancer prediction models. Methods Publications on predictive models of pulmonary nodules/early lung cancer between January 1, 2002 and June 3, 2023 were retrieved and extracted from CNKI, Wanfang, VIP and Web of Science database. CiteSpace 6.1.R3 and VOSviewer 1.6.18 were used to analyze the hotspots and theme trends. Results A marked increase in the number of publications related to pulmonary nodules/early-stage lung cancer prediction models was observed. A total of 12581 authors from 2711 institutions in 64 countries/regions published 2139 documents in 566 academic journals in English. A total of 282 articles from 1256 authors were published in 176 journals in Chinese. The Chinese and English journals which published the most pulmonary nodules/early-stage lung cancer prediction model-related papers were Journal of Clinical Radiology and Frontiers in Oncology, respectively. Chest was the most frequently cited journal. China and the United States were the leading countries in the field of pulmonary nodules/early-stage lung cancer prediction models. The institutions represented by Fudan University had significant academic influence in the field. Analysis of keywords revealed that multi-omics, nomogram, machine learning and artificial intelligence were the current focus of research. Conclusion Over the last two decades, research on risk-prediction models for pulmonary nodules/early-stage lung cancer has attracted increasing attention. Prognosis, machine learning, artificial intelligence, nomogram, and multi-omics technologies are both current hotspots and future trends in this field. In the future, in-depth explorations using different omics should increase the sensitivity and accuracy of pulmonary nodules/early-stage lung cancer prediction models. More high-quality future studies should be conducted to validate the efficacy and safety of pulmonary nodules/early-stage lung cancer prediction models further and reduce the global burden of lung cancer.
3.Construction of an artificial intelligence-driven lung cancer database
Libing YANG ; Chao GUO ; Huizhen JIANG ; Lian MA ; Shanqing LI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):167-174
Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.
4.Development and validation of a prognostic nomogram model for patients with the lower third and abdominal oesophageal adenocarcinoma
Zhengshui XU ; Dandan LIU ; Jiantao JIANG ; Ranran KONG ; Jianzhong LI ; Yuefeng MA ; Zhenchuan MA ; Jia CHEN ; Minxia ZHU ; Shaomin LI
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):201-207
Objective To establish an individualized nomogram model and evaluate its efficacy to provide a possible evaluation basis for the prognosis of lower third and abdominal part of oesophageal adenocarcinoma (EAC). Methods Lower third and abdominal part of EAC patients from 2010 to 2015 were chosen from the SEER Research Plus Database (17 Regs, 2022nov sub). The patients were randomly allocated to the training cohort and the internal validation cohort with a ratio of 7∶3 using bootstrap resampling. The Cox proportional hazards regression analysis was used to determine significant contributors to overall survival (OS) in EAC patients, which would be elected to construct the nomogram prediction model. C-index, calibration curve and receiver operating characteristic (ROC) curve were performed to evaluate its efficacy. Finally, the efficacy to evaluate the OS of EAC patients was compared between the nomogram prediction model and TNM staging system. Results In total, 3945 patients with lower third and abdominal part of EAC were enrolled, including 3475 males and 470 females with a median age of 65 (57-72) years. The 2761 patients were allocated to the training cohort and the remaining 1184 patients to the internal validation cohort. In the training and the internal validation cohorts, the C-index of the nomogram model was 0.705 and 0.713, respectively. Meanwhile, the calibration curve also suggested that the nomogram model had a strong capability of predicting 1-, 3-, and 5-year OS rates of EAC patients. The nomogram also had a higher efficacy than the TNM staging system in predicting 1-, 3-, and 5-year OS rates of EAC patients. Conclusion This nomogram prediction model has a high efficiency for predicting OS in the patients with lower third and abdominal part of EAC, which is higher than that of the current TNM staging system.
5.Fufang Kangjiaolv Capsules Treat Anxiety in Rat Model of Chronic Restraint Stress via Microbiota-gut-brain Axis
Wenxin FAN ; Tingyue JIANG ; Yu WANG ; Ge ZHANG ; Yifan LU ; Mengmeng LIU ; Jiayuan LI ; Renzhi MA ; Jinli SHI
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(4):95-107
ObjectiveTo observe the intervention effect of Fufang Kangjiaolv capsules on anxiety-like behaviors in the rat model of chronic restraint stress (CRS) and explore the mechanism underlying the anti-anxiety effect via the microbiota-gut-brain axis. MethodsRats were assigned into blank, model, positive drug (diazepam, 1 mg·kg-1), and low-, medium-, and high-dose (0.75, 1.5, 3 g·kg-1, respectively) Fufang Kangjiaolv capsules groups. After 14 days of administration, the elevated plus maze test, open field test, light and dark box test, and marble burying test were performed. Hematoxylin-eosin staining was employed to observe the pathological changes in the hippocampus and colon of rats, and Nissl staining was conducted to observe the damage of hippocampal neurons. The gut microbiota was analyzed by 16S rRNA gene sequencing. Real-time fluorescence quantitative polymerase chain reaction (Real-time PCR) was employed to determine the mRNA levels of zonula occludens-1 (ZO-1) and occludin in the colon of rats. The levels of tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), and interleukin-1β (IL-1β) in the colon, serum, and hippocampus were determined by enzyme-linked immunosorbent assay. Western blot was employed to determine the protein levels of ZO-1, occludin, nuclear factor-κB p65 (NF-κB p65) in the colon tissue and NF-κB p65 and brain-derived neurotrophic factor (BDNF) in the hippocampal tissue. ResultsCompared with the blank group, the model group showed reductions in the time and frequency ratio of rats entering the elevated plus maze, the time and frequency of rats entering the central area of the open field, the time of entering the open box, the times of passing through the light and dark box, and the number of unburied beads (P<0.05, P<0.01). Compared with the model group, Fufang Kangjiaolv capsules ameliorated the anxiety of the model rats to varying degrees, and the high-dose group had the best effect, with increases in the proportions of time and frequency of rats entering the open arm in the elevated plus maze (P<0.05), the number of rats entering the central area in the open field (P<0.05), the time of entering the open box, the times of passing through the light and dark boxes, and the number of unburied beads (P<0.01). Moreover, the high-dose group showed alleviated pathological damage of hippocampal neurons and colon. The results of 16S rRNA gene sequencing showed that the model group had increased relative abundance of Firmicutes, Deferribacterota, Romboutsia, and Phascolarctobacterium, while it had decreased relative abundance of Bavcteroidota and Lactobacillus. The drug administration groups showed increased relative abundance of Bavcteroidota, Bacteroides, norank f norank o Clostridia UCG-014, and Blautia and decreased relative abundance of Firmicutes and Deferribacterota. Compared with the blank group, the model group showed down-regulated protein and mRNA levels of ZO-1 and occludin in the colon (P<0.01), elevated levels of TNF-α, IL-6, and IL-β in the colon, serum, and hippocampus (P<0.01), up-regulated protein level of NF-κB p65 in the colon and hippocampus (P<0.01), and down-regulated protein level of BDNF in the hippocampus (P<0.05). Compared with the model group, high-dose Fufang Kangjiaolv capsules up-regulated the mRNA levels of ZO-1 and occludin in the colon (P<0.01), lowered the levels of TNF-α, IL-6, and IL-β in the colon, serum, and hippocampus (P<0.01), up-regulated the protein levels of ZO-1 (P<0.01) and occludin (P<0.05) in the colon, down-regulated the protein level of NF-κB p65 in the colon and hippocampus (P<0.05), and up-regulated the protein level of BDNF in the hippocampus. ConclusionFufang Kangjiaolv capsules can reduce the anxiety-like behaviors in the rat model of CRS by regulating the gut microbiota disturbance, up-regulating the expression of tight junction proteins in the colon, repairing intestinal mucosal mechanical barrier, and down-regulating NF-κB/BDNF signaling pathway, thereby reducing peripheral and central inflammation. This study proves the hypothesis that Fufang Kangjiaolv capsules play an anti-anxiety role via the microbiota-gut-brain axis, providing a new idea for further research.
6.Changes in the expression levels of inflammatory cytokines and CD8+T cell subsets in the peripheral blood of patients with diabetic retinopathy
Wenjun JIANG ; Bolin ZHAO ; Shanbo MA ; Weimei MA ; Zhiyun WANG ; Jingni YU ; Ya LI
International Eye Science 2025;25(4):638-643
AIM:To investigate alterations in the expression levels of inflammatory cytokines and subsets of CD8+ T cells in the peripheral blood of patients with diabetic retinopathy(DR).METHODS:Retrospective study. A total of 40 patients with type 2 diabetes admitted to Xi'an People's Hospital(Xi'an Fourth Hospital)from April to July 2022 were recruited for this study and categorized into two groups: 20 cases in the simple type 2 diabetes mellitus(DM)group, and 20 cases in the DR group. Additionally, 20 healthy individuals undergoing routine physical examinations served as the control group. The expression levels of cytokines, including interleukin(IL)-6, IL-8, and IL-10 in peripheral blood were quantified using ELISA. Flow cytometry was employed to analyze the expression of programmed cell death-1(PD-1), T cell immunoglobulin domain and mucin domain protein-3(TIM-3), CD28, and CD57 on CD8+ T cells.RESULTS:The peripheral blood expression of IL-6, IL-8, and IL-10 inflammatory cytokines were significantly elevated in DR patients as detected by ELISA(all P<0.001); flow cytometry analysis showed that the expression of PD-1, TIM-3, and CD57 were elevated in peripheral blood CD8+ T cells of DR patients(all P<0.001), and the expression of CD28 was decreased(all P<0.001).CONCLUSION:In DR patients, CD8+ T cells may undergo depletion and senescence as a result of elevated pro-inflammatory cytokines, including IL-6, IL-8, and IL-10.
7.Sodium arsenite influences proliferation and apoptosis in normal thyroid cells via modulation of ER-PI3K/AKT signaling pathway
Zhihong JIANG ; Hongyun LI ; Xiaowei MA ; Yuanyan LAI ; Jun WU
Journal of Environmental and Occupational Medicine 2025;42(4):467-474
Background Recent advances in understanding the toxic effects of inorganic arsenic have revealed that arsenic exposure impacts multiple endocrine organs, thereby altering their functions. However, the mechanisms underlying arsenic-induced thyroid injury remain unclear. Objective To investigate the mechanisms by which sodium arsenite (NaAsO₂) affects the proliferation and apoptosis of normal thyroid cells (Nthy-ori3-1) through the estrogen receptor (ER)-phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway. Methods Nthy-ori3-1 cells were cultured in vitro and divided into the following groups: a control group (complete medium without drugs, 0 μmol·L−1), and NaAsO₂-treated groups at 1, 2, and 4 μmol·L−1. Additionally, 1 μmol·L−1 of the ER inhibitor ICI182780 was used to intervene in the NaAsO₂ exposure groups, resulting in the following combinations: 1 μmol·L−1 NaAsO₂ + ICI182780, 2 μmol·L−1 NaAsO₂ + ICI182780, and 4 μmol·L−1 NaAsO₂ + ICI182780. The median lethal concentration of NaAsO₂ was determined using cell viability assay. Cell viability was assessed at 24, 36, and 48 h using Cell Counting Kit-8 (CCK-8) assay. Colony formation ability was evaluated via plate cloning assay. Apoptosis was detected using Hoechst
8.Preliminary Efficacy of Growth Hormone Therapy in Children With Congenital HeartDisease and Short Stature: A Six-case Report and Literature Review
Xi YANG ; Siyu LIANG ; Qianqian LI ; Hanze DU ; Shuaihua SONG ; Yue JIANG ; Huijuan MA ; Shi CHEN ; Hui PAN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):641-646
Congenital heart disease (CHD) is a congenital malformation resulting from abnormal embryonic development of the heart and great vessels, accounting for approximately 25% of all congenital malformations. Children with CHD are often complicated by short stature. Although surgical treatment can improve their growth and development to a certain extent, some children still experience growth retardation after surgery. Recombinant human growth hormone (rhGH) is the main drug for treating short stature, but its efficacy and safety in the treatment of patients with concomitant CHD warrant further investigation. This article reports six cases of children with CHD and short stature who were treated with rhGH. Through a literature review, we summarize and discuss the therapeutic efficacy, follow-up experiences, and adverse reactions of rhGH treatment, aiming to provide references for clinicians in applying rhGH to treat patients with CHD and short stature.
9.Aldehyde Dehydrogenase 2 Gene Mutation May Reduce the Risk of Rupture of Intracranial Aneurysm in Chinese Han Population
Xiheng CHEN ; Siming GUI ; Dachao WEI ; Dingwei DENG ; Yudi TANG ; Jian LV ; Wei YOU ; Jia JIANG ; Jun LIN ; Huijian GE ; Peng LIU ; Yuhua JIANG ; Lixin MA ; Yunci WANG ; Ming LV ; Youxiang LI
Journal of Stroke 2025;27(2):237-249
Background:
and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture.
Methods:
A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture.
Results:
The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05).
Conclusion
The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.
10.Aldehyde Dehydrogenase 2 Gene Mutation May Reduce the Risk of Rupture of Intracranial Aneurysm in Chinese Han Population
Xiheng CHEN ; Siming GUI ; Dachao WEI ; Dingwei DENG ; Yudi TANG ; Jian LV ; Wei YOU ; Jia JIANG ; Jun LIN ; Huijian GE ; Peng LIU ; Yuhua JIANG ; Lixin MA ; Yunci WANG ; Ming LV ; Youxiang LI
Journal of Stroke 2025;27(2):237-249
Background:
and Purpose Ruptured intracranial aneurysms (RIA) are associated with a mortality rate of up to 40% in the Chinese population, highlighting the critical need for targeted treatment interventions for at-risk individuals. Although the impact of aldehyde dehydrogenase 2 (ALDH2) gene mutations on susceptibility to intracranial aneurysms (IA) is well documented, the potential connection between ALDH2 rs671 single-nucleotide polymorphism (SNP) and RIA remains unexplored. Given the increased prevalence of ALDH2 gene mutations among Chinese Han individuals, it is clinically relevant to investigate the link between ALDH2 rs671 SNP and IA rupture.
Methods:
A prospective study was conducted on 546 patients diagnosed with IA to investigate the association between ALDH2 rs671 SNP and the risk of IA rupture.
Results:
The ALDH2 rs671 SNP (ALDH2*2) was significantly more prevalent in patients with unruptured IA (UIA) than in those with RIA (32.56% vs. 18.58%, P=0.004). Multivariate logistic regression analysis revealed that people with the ALDH2 mutation (ALDH2*1/*2 and ALDH2*2/*2 gene type) had a significantly reduced odds ratio (OR=0.49; 95% confidence level [CI] 0.27–0.88; P=0.018) for RIAs. Age-specific subgroup analysis indicated that the ALDH2 mutation provided a stronger protective effect in individuals aged 60 years and above with IA compared to those under 60 years old (OR=0.38 vs. OR=0.52, both P<0.05).
Conclusion
The incidence of RIA was significantly higher in individuals with a normal ALDH2 gene (ALDH2*1/*1) than in those with an ALDH2 rs671 SNP (ALDH2*1/*2 or ALDH2*2/*2). ALDH2 rs671 SNP may serve as a protective factor against RIA in the Chinese Han population.

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