1.Treatment response to nucleos(t)ide analogs in chronic hepatitis B with mildly elevated alanine aminotransferase: Letter to the editor on “Antiviral therapy for chronic hepatitis B with mildly elevated aminotransferase: A rollover study from the TORCH-B trial”
Jian WANG ; Fei CAO ; Chuanwu ZHU ; Chao WU ; Rui HUANG
Clinical and Molecular Hepatology 2025;31(2):e140-e142
2.Treatment response to nucleos(t)ide analogs in chronic hepatitis B with mildly elevated alanine aminotransferase: Letter to the editor on “Antiviral therapy for chronic hepatitis B with mildly elevated aminotransferase: A rollover study from the TORCH-B trial”
Jian WANG ; Fei CAO ; Chuanwu ZHU ; Chao WU ; Rui HUANG
Clinical and Molecular Hepatology 2025;31(2):e140-e142
3.Treatment response to nucleos(t)ide analogs in chronic hepatitis B with mildly elevated alanine aminotransferase: Letter to the editor on “Antiviral therapy for chronic hepatitis B with mildly elevated aminotransferase: A rollover study from the TORCH-B trial”
Jian WANG ; Fei CAO ; Chuanwu ZHU ; Chao WU ; Rui HUANG
Clinical and Molecular Hepatology 2025;31(2):e140-e142
4.Research on software development and smart manufacturing platform incorporating near-infrared spectroscopy for measuring traditional Chinese medicine manufacturing process.
Yan-Fei WU ; Hui XU ; Kai-Yi WANG ; Hui-Min FENG ; Xiao-Yi LIU ; Nan LI ; Zhi-Jian ZHONG ; Ze-Xiu ZHANG ; Zhi-Sheng WU
China Journal of Chinese Materia Medica 2025;50(9):2324-2333
Process analytical technology(PAT) is a key means for digital transformation and upgrading of the traditional Chinese medicine(TCM) manufacturing process, serving as an important guarantee for consistent and controllable TCM product quality. Near-infrared(NIR) spectroscopy has become the core technology for measuring the TCM manufacturing process. By incorporating NIR spectroscopy into PAT and starting from the construction of a smart platform for the TCM manufacturing process, this paper systematically described the development history and innovative application of the combination of NIR spectroscopy with chemometrics in measuring the TCM manufacturing process by the research team over the past two decades. Additionally, it explored the application of a validation method based on accuracy profile(AP) in the practice of NIR spectroscopy. Furthermore, the software development progress driven by NIR spectroscopy supported by modeling technology was analyzed, and the prospect of integrating NIR spectroscopy in smart factory control platforms was exemplified with the construction practices of related platforms. By integrating with the smart platform, NIR spectroscopy could improve production efficiency and guarantee product quality. Finally, the prospect of the smart platform application in measuring the TCM manufacturing process was projected. It is believed that the software development for NIR spectroscopy and the smart manufacturing platform will provide strong technical support for TCM digitalization and industrialization.
Spectroscopy, Near-Infrared/methods*
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Drugs, Chinese Herbal/analysis*
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Software
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Medicine, Chinese Traditional
;
Quality Control
5.Innovation and application of traditional Chinese medicine dispensing promoted through integration of whole-process data elements.
Huan-Fei YANG ; Si-Yu LI ; Chen-Qian YU ; Jian-Kun WU ; Fang LIU ; Li-Bin JIANG ; Chun-Jin LI ; Xiang-Fei SU ; Wei-Guo BAI ; Hua-Qiang ZHAI ; Shi-Yuan JIN ; Yong-Yan WANG
China Journal of Chinese Materia Medica 2025;50(11):3189-3196
As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods*
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Drugs, Chinese Herbal
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Humans
6.Complications among patients undergoing orthopedic surgery after infection with the SARS-CoV-2 Omicron strain and a preliminary nomogram for predicting patient outcomes.
Liang ZHANG ; Wen-Long GOU ; Ke-Yu LUO ; Jun ZHU ; Yi-Bo GAN ; Xiang YIN ; Jun-Gang PU ; Huai-Jian JIN ; Xian-Qing ZHANG ; Wan-Fei WU ; Zi-Ming WANG ; Yao-Yao LIU ; Yang LI ; Peng LIU
Chinese Journal of Traumatology 2025;28(6):445-453
PURPOSE:
The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery.
METHODS:
A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications.
RESULTS:
In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram.
CONCLUSION
Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans
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COVID-19/complications*
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Male
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Female
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Middle Aged
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Postoperative Complications/epidemiology*
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SARS-CoV-2
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Orthopedic Procedures/adverse effects*
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Aged
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Nomograms
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Adult
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Retrospective Studies
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Risk Factors
7.USP20 as a super-enhancer-regulated gene drives T-ALL progression via HIF1A deubiquitination.
Ling XU ; Zimu ZHANG ; Juanjuan YU ; Tongting JI ; Jia CHENG ; Xiaodong FEI ; Xinran CHU ; Yanfang TAO ; Yan XU ; Pengju YANG ; Wenyuan LIU ; Gen LI ; Yongping ZHANG ; Yan LI ; Fenli ZHANG ; Ying YANG ; Bi ZHOU ; Yumeng WU ; Zhongling WEI ; Yanling CHEN ; Jianwei WANG ; Di WU ; Xiaolu LI ; Yang YANG ; Guanghui QIAN ; Hongli YIN ; Shuiyan WU ; Shuqi ZHANG ; Dan LIU ; Jun-Jie FAN ; Lei SHI ; Xiaodong WANG ; Shaoyan HU ; Jun LU ; Jian PAN
Acta Pharmaceutica Sinica B 2025;15(9):4751-4771
T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.
8.Cation Channel TMEM63A Autonomously Facilitates Oligodendrocyte Differentiation at an Early Stage.
Yue-Ying WANG ; Dan WU ; Yongkun ZHAN ; Fei LI ; Yan-Yu ZANG ; Xiao-Yu TENG ; Linlin ZHANG ; Gui-Fang DUAN ; He WANG ; Rong XU ; Guiquan CHEN ; Yun XU ; Jian-Jun YANG ; Yongguo YU ; Yun Stone SHI
Neuroscience Bulletin 2025;41(4):615-632
Accurate timing of myelination is crucial for the proper functioning of the central nervous system. Here, we identified a de novo heterozygous mutation in TMEM63A (c.1894G>A; p. Ala632Thr) in a 7-year-old boy exhibiting hypomyelination. A Ca2+ influx assay suggested that this is a loss-of-function mutation. To explore how TMEM63A deficiency causes hypomyelination, we generated Tmem63a knockout mice. Genetic deletion of TMEM63A resulted in hypomyelination at postnatal day 14 (P14) arising from impaired differentiation of oligodendrocyte precursor cells (OPCs). Notably, the myelin dysplasia was transient, returning to normal levels by P28. Primary cultures of Tmem63a-/- OPCs presented delayed differentiation. Lentivirus-based expression of TMEM63A but not TMEM63A_A632T rescued the differentiation of Tmem63a-/- OPCs in vitro and myelination in Tmem63a-/- mice. These data thus support the conclusion that the mutation in TMEM63A is the pathogenesis of the hypomyelination in the patient. Our study further demonstrated that TMEM63A-mediated Ca2+ influx plays critical roles in the early development of myelin and oligodendrocyte differentiation.
Animals
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Cell Differentiation/physiology*
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Oligodendroglia/metabolism*
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Mice, Knockout
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Mice
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Male
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Myelin Sheath/metabolism*
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Humans
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Child
;
Cells, Cultured
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Oligodendrocyte Precursor Cells/metabolism*
9.Salvia miltiorrhiza components and gut microbiota interactions in Helicobacter pylori infection.
Shao-Jian LI ; Jin-Xin MIAO ; Fei WANG ; Hao-Yu WANG ; Yao-Wu MA ; Ying JIANG ; Xia XUE
Journal of Integrative Medicine 2025;23(5):462-470
Salvia miltiorrhiza (Danshen) is a traditional Chinese herb that is commonly known for its cardiovascular and hepatoprotective benefits. Recent studies have confirmed that Danshen and its bioactive components can influence gut microbial homeostasis, thereby affecting Helicobacter pylori (HP) colonization in the human stomach. HP is a bacterial pathogen associated with various gastrointestinal diseases. Current HP treatments mainly involve antibiotics and proton pump inhibitors. However, their efficacy is strongly compromised by the rapid emergence of antibiotic resistance in HP and genetic heterogeneity among patients. The interaction between Danshen and gut microbial status provides a novel perspective for HP treatment. Understanding the medical properties of Danshen in altering gut microbiota and eliminating HP, as well as the underlying mechanisms, is important for improving human gastrointestinal healthcare. This review investigates the interaction between Danshen and gut microbiota and its impact on HP infection using databases including Web of Science, PubMed, and Google Scholar. We explored the unconventional intersection between Danshen, gut microbiota, and HP infection, shedding light on their intricate interplay and potential therapeutic implications. A comprehensive understanding of this interaction provides valuable insights into developing novel therapeutic strategies that target the gut microbiota to mitigate HP-associated gastrointestinal disorders. Please cite this article as: Li SJ, Miao JX, Wang F, Wang HY, Ma YW, Jiang Y, Xue X. Salvia miltiorrhiza components and gut microbiota interactions in Helicobacter pylori infection. J Integr Med. 2025; 23(5):462-470.
Salvia miltiorrhiza/chemistry*
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Gastrointestinal Microbiome/drug effects*
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Humans
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Helicobacter Infections/microbiology*
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Helicobacter pylori/drug effects*
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Drugs, Chinese Herbal/therapeutic use*
10.Development of a pretreatment workstation for detecting free silica levels in dust
Jian WU ; Yuqiao ZHENG ; Meng LUO ; Mengping ZHANG ; Junyi HUANG ; Fei SHEN ; Feng ZHANG ; Sheng FU ; Xuelei CHEN ; Zongli HUO ; Banghua WU
China Occupational Medicine 2025;52(4):455-459
Objective To investigate an automated pretreatment technology for detecting levels of free silica in workplace dust. Methods An fully automated pretreatment workstation for detecting free silica levels in workplace dust was developed by integrating graphite-controlled digestion temperature, online-controlled dilution of digestion solutions, and filtration endpoint recognition based on monitoring technology, combined with multi-channel synchronous measurements. Results The fully automatic pretreatment workstation was used to digest and filter 14 standard samples of free silica produced by three institutions, and then detected by pyrophosphate method. The result range of high-, medium-, and low-level free silica standard samples detection was 66.5%-84.8%, 40.0%-44.5%, and 2.1%-24.8%, respectively. The mean relative standard deviations were 3.9%, 1.4% and 1.5%. Conclusion The fully automated pretreatment workstation produced results that met relevant requirements. It can effectively replace the manual digestion and filtration steps of the pyrophosphate method to measure free silica levels in workplace dust and enable rapid detection of free silica in dust samples.

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