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Shen X, Yang T, Du Y, Hao N, Cao J, Wu T, Wang C. Research on the function of CsMYB36 based on an effective hair root transformation system. Plant Signal Behav 2024; 19:2345983. [PMID: 38686613 PMCID: PMC11062371 DOI: 10.1080/15592324.2024.2345983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 04/17/2024] [Indexed: 05/02/2024]
Abstract
The hairy root induction system was used to efficiently investigate gene expression and function in plant root. Cucumber is a significant vegetable crop worldwide, with shallow roots, few lateral roots, and weak root systems, resulting in low nutrient absorption and utilization efficiency. Identifying essential genes related to root development and nutrient absorption is an effective way to improve the growth and development of cucumbers. However, genetic mechanisms underlying cucumber root development have not been explored. Here, we report a novel, rapid, effective hairy root transformation system. Compared to the in vitro cotyledon transformation method, this method shortened the time needed to obtain transgenic roots by 13 days. Furthermore, we combined this root transformation method with CRISPR/Cas9 technology and validated our system by exploring the expression and function of CsMYB36, a pivotal gene associated with root development and nutrient uptake. The hairy root transformation system established in this study provides a powerful method for rapidly identifying essential genes related to root development in cucumber and other horticultural crop species. This advancement holds promise for expediting research on root biology and molecular breeding strategies, contributing to the broader understanding and improvements crop growth and development.
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Affiliation(s)
- Xi Shen
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops (Vegetables, Tea, etc.), Ministry of Agriculture and Rural Affairs of China, Changsha, China
| | - Ting Yang
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops (Vegetables, Tea, etc.), Ministry of Agriculture and Rural Affairs of China, Changsha, China
| | - Yalin Du
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops (Vegetables, Tea, etc.), Ministry of Agriculture and Rural Affairs of China, Changsha, China
| | - Ning Hao
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops (Vegetables, Tea, etc.), Ministry of Agriculture and Rural Affairs of China, Changsha, China
| | - Jiajian Cao
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops (Vegetables, Tea, etc.), Ministry of Agriculture and Rural Affairs of China, Changsha, China
| | - Tao Wu
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops (Vegetables, Tea, etc.), Ministry of Agriculture and Rural Affairs of China, Changsha, China
| | - Chunhua Wang
- College of Horticulture, Hunan Agricultural University, Changsha, China
- Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops (Vegetables, Tea, etc.), Ministry of Agriculture and Rural Affairs of China, Changsha, China
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Chen Z, Chen Y, Wang Q, Yang T, Luo Q, Gu K, Yang W. Molecularly-regulating oxygen-containing functional groups of ramie activated carbon for high-performance supercapacitors. J Colloid Interface Sci 2024; 665:772-779. [PMID: 38554467 DOI: 10.1016/j.jcis.2024.03.177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/21/2024] [Accepted: 03/26/2024] [Indexed: 04/01/2024]
Abstract
Effectively managing oxygen-containing functional groups (OCFGs) within activated carbon and methodically elucidating their intricate types and proportions are essential for considerably improving the electrochemical performance of carbon-based supercapacitors. Herein, we designed a ZnCl2-based molecular regulation strategy to introduce OCFGs into ramie-activated carbon (RAC), managing different OCFGs and revealing their structure-activity relationship with electrochemical performance. Thus, this regulated RAC, with a 3.5-fold enhancement in advantageous OCFGs (a-OCFGs: CO and COO), exhibits a supreme specific capacitance of 286.4F g-1 at 1 A/g and an excellent capacitance retention rate of 89.7 % at 20 A/g in an aqueous electrolyte, considerably surpassing that of nonregulated RAC (212.0F g-1 and 81.9 %). This confirms that a-OCFGs provide ample ion-storage accommodation and suppress solvent electronic oxidation, thereby enhancing electrochemical performance. Furthermore, its electrochemical performance is competitive with that of the commercial YP-50F (129.2F g-1 at 1 A/g). Therefore, this work not only highlights the contributions of specific OCFGs to high electrochemical performance but also designs a promising commercial electrode material to meet the demands of OCFGs-adequate carbon-based energy storage devices.
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Affiliation(s)
- Zhenyu Chen
- Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Yuyang Chen
- Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Qing Wang
- Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Ting Yang
- Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Qitian Luo
- Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Kai Gu
- Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China
| | - Weiqing Yang
- Key Laboratory of Advanced Technologies of Materials (Ministry of Education), School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu 610031, China; Research Institute of Frontier Science, Southwest Jiaotong University, Chengdu 610031, China.
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3
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Wang X, Li H, Wu C, Yang J, Wang J, Yang T. Metabolism-triggered sensor array aided by machine learning for rapid identification of pathogens. Biosens Bioelectron 2024; 255:116264. [PMID: 38588629 DOI: 10.1016/j.bios.2024.116264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 03/28/2024] [Accepted: 03/31/2024] [Indexed: 04/10/2024]
Abstract
Chemical-nose strategy has achieved certain success in the discrimination and identification of pathogens. However, this strategy usually relies on non-specific interactions, which are prone to be significantly disturbed by the change of environment thus limiting its practical usefulness. Herein, we present a novel chemical-nose sensing approach leveraging the difference in the dynamic metabolic variation during peptidoglycan metabolism among different species for rapid pathogen discrimination. Pathogens were first tethered with clickable handles through metabolic labeling at two different acidities (pH = 5 and 7) for 20 and 60 min, respectively, followed by click reaction with fluorescence up-conversion nanoparticles to generate a four-dimensional signal output. This discriminative multi-dimensional signal allowed eight types of model bacteria to be successfully classified within the training set into strains, genera, and Gram phenotypes. As the difference in signals of the four sensing channels reflects the difference in the amount/activity of enzymes involved in metabolic labeling, this strategy has good anti-interference capability, which enables precise pathogen identification within 2 h with 100% accuracy in spiked urinary samples and allows classification of unknown species out of the training set into the right phenotype. The robustness of this approach holds significant promise for its widespread application in pathogen identification and surveillance.
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Affiliation(s)
- Xin Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Huida Li
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Chengxin Wu
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Kunming, 650500, China
| | - Jianyu Yang
- School of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China
| | - Jianhua Wang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China
| | - Ting Yang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China.
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Ping P, Yang T, Ning C, Zhao Q, Zhao Y, Yang T, Gao Z, Fu S. Chlorogenic acid attenuates cardiac hypertrophy via up-regulating Sphingosine-1-phosphate receptor1 to inhibit endoplasmic reticulum stress. ESC Heart Fail 2024; 11:1580-1593. [PMID: 38369950 PMCID: PMC11098655 DOI: 10.1002/ehf2.14707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Revised: 10/06/2023] [Accepted: 01/23/2024] [Indexed: 02/20/2024] Open
Abstract
AIMS Cardiac hypertrophy, an adaptive response of the heart to stress overload, is closely associated with heart failure and sudden cardiac death. This study aimed to investigate the therapeutic effects of chlorogenic acid (CGA) on cardiac hypertrophy and elucidate the underlying mechanisms. METHODS AND RESULTS To simulate cardiac hypertrophy, myocardial cells were exposed to isoproterenol (ISO, 10 μM). A rat model of ISO-induced cardiac hypertrophy was also established. The expression levels of cardiac hypertrophy markers, endoplasmic reticulum stress (ERS) markers, and apoptosis markers were measured using quantitative reverse transcription PCR and western blotting. The apoptosis level, size of myocardial cells, and heart tissue pathological changes were determined by terminal deoxynucleotidyl transferase dUTP nick-end labelling staining, immunofluorescence staining, haematoxylin and eosin staining, and Masson's staining. We found that CGA treatment decreased the size of ISO-treated H9c2 cells. Moreover, CGA inhibited ISO-induced up-regulation of cardiac hypertrophy markers (atrial natriuretic peptide, brain natriuretic peptide, and β-myosin heavy chain), ERS markers (C/EBP homologous protein, glucose regulatory protein 78, and protein kinase R-like endoplasmic reticulum kinase), and apoptosis markers (bax and cleaved caspase-12/9/3) but increased the expression of anti-apoptosis marker bcl-2 in a dose-dependent way (0, 10, 50, and 100 μM). Knockdown of sphingosine-1-phosphate receptor 1 (S1pr1) reversed the protective effect of CGA on cardiac hypertrophy, ERS, and apoptosis in vitro (P < 0.05). CGA also restored ISO-induced inhibition on the AMP-activated protein kinase (AMPK)/sirtuin 1 (SIRT1) signalling in H9c2 cells, while S1pr1 knockdown abolished these CGA-induced effects (P < 0.05). CGA (90 mg/kg/day, for six consecutive days) protected rats against cardiac hypertrophy in vivo (P < 0.05). CONCLUSIONS CGA treatment attenuated ISO-induced ERS and cardiac hypertrophy by activating the AMPK/SIRT1 pathway via modulation of S1pr1.
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Affiliation(s)
- Ping Ping
- General Station for Drug and Instrument Supervision and ControlJoint Logistic Support Force of Chinese People's Liberation ArmyBeijingChina
| | - Ting Yang
- Central LaboratoryHainan Hospital of Chinese People's Liberation Army General HospitalSanyaChina
| | - Chaoxue Ning
- Central LaboratoryHainan Hospital of Chinese People's Liberation Army General HospitalSanyaChina
| | - Qingkai Zhao
- Department of Health and MedicineHainan Hospital of Chinese People's Liberation Army General HospitalSanyaChina
| | - Yali Zhao
- Central LaboratoryHainan Hospital of Chinese People's Liberation Army General HospitalSanyaChina
| | - Tao Yang
- Department of OncologyHainan Hospital of Chinese People's Liberation Army General HospitalSanyaChina
| | - Zhitao Gao
- School of Laboratory MedicineXinxiang Medical UniversityXinxiangChina
| | - Shihui Fu
- Department of CardiologyHainan Hospital of Chinese People's Liberation Army General HospitalSanyaChina
- Department of Geriatric CardiologyChinese People's Liberation Army General HospitalBeijingChina
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Zhang Y, Tian T, Liang C, Wang J, Zhang J, Tian S, Xie R, Yang T, Han B. Lysine specific demethylase 1 inhibits sodium arsenite activation of HSCs by regulating SESN2/AMPK/ULK1 signaling pathway activity. Environ Toxicol 2024; 39:3563-3577. [PMID: 38477077 DOI: 10.1002/tox.24184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/10/2024] [Accepted: 02/10/2024] [Indexed: 03/14/2024]
Abstract
Lysine specific demethylase 1 (LSD1) is a histone demethylase that specifically catalyzes the demethylation of histone H3K4 (H3K4me1/2) and regulates gene expression. In addition, it can mediate the process of autophagy through its demethylase activity. Sestrin2 (SESN2) is a stress-induced protein and a positive regulator of autophagy. In NaAsO2-induced mouse fibrotic livers and activated hepatic stellate cells (HSCs), LSD1 expression is decreased, SESN2 expression is increased, and autophagy levels are also increased. Overexpression of LSD1 and silencing of SESN2 decreased the level of autophagy and attenuated the activation of HSCs induced by NaAsO2. LSD1 promoted SESN2 gene transcription by increasing H3K4me1/2 in the SESN2 promoter region. 3-methyladenine (3-MA) and chloroquine were used to inhibit autophagy of HSCs, and the degree of activation was also alleviated. Taken together, LSD1 positively regulates SESN2 by increasing H3K4me1/2 enrichment in the SESN2 promoter region, which in turn increases the level of autophagy and promotes the activation of HSCs. Our results may provide new evidence for the importance of LSD1 in the process of autophagy and activation of HSCs induced by arsenic poisoning. Increasing the expression and activity of LSD1 is expected to be an effective way to reverse the autophagy and activation of HSCs induced by arsenic poisoning.
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Affiliation(s)
- Yingwan Zhang
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
- Guizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, Guizhou, China
| | - Tian Tian
- Department of Eugenic Genetics, Guiyang Maternal and Child Health Care Hospital, Guiyang, Guizhou, China
| | - Cai Liang
- Southwest Hospital, Army Medical University, Chongqing, China
| | - Junli Wang
- The Second People's Hospital of Guiyang, Guizhou, China
| | - Jiayuan Zhang
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
- Guizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, Guizhou, China
| | - Shanshan Tian
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
- Guizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, Guizhou, China
| | - Rujia Xie
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
- Guizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, Guizhou, China
| | - Ting Yang
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
- Guizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, Guizhou, China
| | - Bing Han
- Department of Pathophysiology, College of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou, China
- Guizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Guizhou Medical University, Guiyang, Guizhou, China
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Jiang Z, Yang T, Xu L. Head-to-head comparison of prostate-specific membrane antigen positron emission tomography/computed tomography and multiparametric magnetic resonance imaging in the detection of biochemical recurrence of prostate cancer: a systematic review and meta-analysis. Clin Radiol 2024; 79:436-445. [PMID: 38582633 DOI: 10.1016/j.crad.2024.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/30/2024] [Accepted: 02/05/2024] [Indexed: 04/08/2024]
Abstract
AIM Our main goal of this meta-analytical analysis was to evaluate the diagnostic effectiveness of prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/computed tomography (CT) against multiparametric magnetic resonance imaging (mpMRI) in the context of identifying biochemical recurrence in patients with prostate cancer (PCa). MATERIALS AND METHODS A thorough search covering articles published until March 2023 was carried out across major databases such as PubMed, Embase, and Web of Science. Studies examining the direct comparison of PSMA PET/CT and mpMRI in patients with PCa suffering biochemical recurrence were included in the inclusion criteria. Using the renowned Quality Assessment of Diagnostic Performance Studies-2 technique, each study's methodological rigor was assessed. RESULTS We analyzed data from six eligible studies involving 290 patients in total. The combined data showed that for PSMA PET/CT and mpMRI, respectively, the pooled overall detection rates for recurrent PCa after definitive treatment were 0.69 (95% confidence interval [CI]: 0.45-0.89) and 0.70 (95% CI: 0.44-0.91). The detection rates for local recurrence were specifically 0.52 (95% CI: 0.39-0.65) and 0.62 (95% CI: 0.31-0.89), while they were 0.50 (95% CI: 0.26-0.74) and 0.32 (95% CI: 0.18-0.48) for lymph node metastasis. Notably, there was no discernible difference between the two imaging modalities in terms of the overall detection rate (P = 0.95). The detection rates for local recurrence and lymph node metastasis did not differ statistically significantly (P = 0.55, 0.23). CONCLUSION The performance of PSMA PET/CT and mpMRI in identifying biochemical recurrence in PCa appears to be comparable. However, the meta-analysis' findings came from research with modest sample sizes. In this context, more extensive research should be conducted in the future.
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Affiliation(s)
- Z Jiang
- Medical School, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China.
| | - T Yang
- Medical School, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China
| | - L Xu
- Medical School, Hunan University of Chinese Medicine, Changsha, Hunan, 410208, China
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Li B, Cui J, Xu T, Xu Y, Long M, Li J, Liu M, Yang T, Du Y, Xu Q. Advances in the preparation, characterization, and biological functions of chitosan oligosaccharide derivatives: A review. Carbohydr Polym 2024; 332:121914. [PMID: 38431416 DOI: 10.1016/j.carbpol.2024.121914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 01/31/2024] [Accepted: 02/01/2024] [Indexed: 03/05/2024]
Abstract
Chitosan oligosaccharide (COS), which represent the positively charged basic amino oligosaccharide in nature, is the deacetylated and degraded products of chitin. COS has become the focus of intensive scientific investigation, with a growing body of practical and clinical studies highlighting its remarkable health-enhancing benefits. These effects encompass a wide range of properties, including antibacterial, antioxidant, anti-inflammatory, and anti-tumor activities. With the rapid advancements in chemical modification technology for oligosaccharides, many COS derivatives have been synthesized and investigated. These newly developed derivatives possess more stable chemical structures, improved biological activities, and find applications across a broader spectrum of fields. Given the recent interest in the chemical modification of COS, this comprehensive review seeks to consolidate knowledge regarding the preparation methods for COS derivatives, alongside discussions on their structural characterization. Additionally, various biological activities of COS derivatives have been discussed in detail. Lastly, the potential applications of COS derivatives in biomedicine have been reviewed and presented.
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Affiliation(s)
- Bing Li
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China
| | - Jingchun Cui
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
| | - Tiantian Xu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China
| | - Yunshu Xu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China
| | - Mingxin Long
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China
| | - Jiaqi Li
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China
| | - Mingzhi Liu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China
| | - Ting Yang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China
| | - Yuguang Du
- Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
| | - Qingsong Xu
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian 116600, China.
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Wang S, Yang T, Guo P, Lan L, Sun G. A new method to comprehensively evaluate the quality of Tianma Toutong tablets by multiple fingerprints combined with quantitative analysis and prescription analysis. J Pharm Biomed Anal 2024; 242:116008. [PMID: 38354537 DOI: 10.1016/j.jpba.2024.116008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/27/2024] [Accepted: 01/31/2024] [Indexed: 02/16/2024]
Abstract
Tianma Toutong Tablets (TMTTTs) are composed of six traditional Chinese medicines (TCMs), and there is currently no comprehensive method to evaluate the quality of TMTTT. To ensure its quality, it is necessary to propose methods for evaluation and control. To address the issue, we established an HPLC and electrochemical fingerprint of TMTTT and quantify eight components-Gastrodin, p-hydroxybenzyl alcohol, chlorogenic acid, parishin A, ferulic acid, hesperidin, imperatorin, and isoimperatorin. We used the Sub-quantified profiling method (SQPM) to calculate the actual contribution value of each individual herb and evaluated and predicted the quality of the compound medication. In addition, electrochemical fingerprinting (ECFP) was established using a Belousov-Zhabotinsky (B-Z) oscillation system in which six characteristic electrochemical parameters were recorded to compare the differences between batches. Finally, a compound synthesizing fingerprint (CSF) of TMTTT was developed by fitting the compounds of the six herbs, the contribution of individual herbs to the prescription was evaluated. Principal component analysis (PCA) was used to downscale the data of different fingerprint profiles to assist the analysis process. The rational combination of multidimensional fingerprinting and PCA provided a comprehensive and reliable method for the evaluation of TMTTT and other TCM compound preparations, SQPM could effectively link single herbs to compound preparations, avoiding the use of non-compliant TCMs at source and improving the quality of compound preparations.
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Affiliation(s)
- Siqi Wang
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China
| | - Ting Yang
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China
| | - Ping Guo
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China.
| | - Lili Lan
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China.
| | - Guoxiang Sun
- School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning 110016, China.
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Hong H, Li J, Tong T, Yang T, Wang H, Xu Y, Lin X, Lin J, Liu S, Luo K, Yu Z, Yuan W, Pi H, Zhou Z. Paraquat disrupts KIF5A-mediated axonal mitochondrial transport in midbrain neurons and its antagonism by melatonin. Sci Total Environ 2024; 934:173119. [PMID: 38750743 DOI: 10.1016/j.scitotenv.2024.173119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 05/20/2024]
Abstract
Paraquat (PQ) is a broad-spectrum herbicide used worldwide and is a hazardous chemical to human health. Cumulative evidence strengthens the association between PQ exposure and the development of Parkinson's disease (PD). However, the underlying mechanism and effective interventions against PQ-induced neurotoxicity remain unclear. In this study, C57BL/6 J mice were treated with PQ (i.p., 10 mg/kg, twice a week) and melatonin (i.g., 20 mg/kg, twice a week) for 8 weeks. Results showed that PQ-induced motor deficits and midbrain dopaminergic neuronal damage in C57BL/6 J mice were protected by melatonin pretreatment. In isolated primary midbrain neurons and SK-N-SH cells, reduction of cell viability, elevation of total ROS levels, axonal mitochondrial transport defects and mitochondrial dysfunction caused by PQ were attenuated by melatonin. After screening of expression of main motors driving axonal mitochondrial transport, data showed that PQ-decreased KIF5A expression in mice midbrain and in SK-N-SH cell was antagonized by melatonin. Using the in vitro KIF5A-overexpression model, it was found that KIF5A overexpression inhibited PQ-caused neurotoxicity and mitochondrial dysfunction in SK-N-SH cells. In addition, application of MTNR1B (MT2) receptor antagonist, 4-P-PDOT, significantly counteracted the protection of melatonin against PQ-induced neurotoxicity. Further, Kif5a-knockdown diminished melatonin-induced alleviation of motor deficits and neuronal damage against PQ in C57BL/6 J mice. The present study establishes a causal link between environmental neurotoxicants exposure and PD etiology and provides effective interventive targets in the pathogenesis of PD.
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Affiliation(s)
- Huihui Hong
- Department of Environmental Medicine, School of Medicine, Chongqing University, Chongqing, China
| | - Jingdian Li
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Tong Tong
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Ting Yang
- Department of Otolaryngology, Chongqing General Hospital, Chongqing University, China
| | - Hui Wang
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Yudong Xu
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiqin Lin
- Department of Environmental Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinxian Lin
- Department of Environmental Medicine, School of Medicine, Chongqing University, Chongqing, China
| | - Sicheng Liu
- Department of Environmental Medicine, School of Medicine, Chongqing University, Chongqing, China
| | - Kun Luo
- Department of Environmental Medicine, School of Medicine, Chongqing University, Chongqing, China
| | - Zhengping Yu
- Department of Occupational Health, Third Military Medical University, Chongqing, China
| | - Wei Yuan
- Department of Otolaryngology, Chongqing General Hospital, Chongqing University, China.
| | - Huifeng Pi
- Department of Occupational Health, Third Military Medical University, Chongqing, China.
| | - Zhou Zhou
- Department of Environmental Medicine, School of Medicine, Chongqing University, Chongqing, China.
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Lan C, Lu H, Zhou L, Liao K, Liu J, Xie Z, Liang H, Zou G, Yang T, Xu Q, Huang X. Long-term survival outcomes and immune checkpoint inhibitor retreatment in patients with advanced cervical cancer treated with camrelizumab plus apatinib in the phase II CLAP study. Cancer Commun (Lond) 2024. [PMID: 38741375 DOI: 10.1002/cac2.12547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 03/19/2024] [Accepted: 04/19/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Camrelizumab plus apatinib have demonstrated robust antitumor activity and safety in patients with advanced cervical cancer (CLAP study; NCT03816553). We herein present the updated long-term results of the CLAP study and explore potential biomarkers for survival. The outcomes of patients who underwent immune checkpoint inhibitor (ICI) retreatment were also reported. METHODS In this phase II trial, eligible patients received camrelizumab 200 mg intravenously every two weeks and apatinib 250 mg orally once daily in 4-week cycles for up to two years. Treatment was continued until disease progression, unacceptable toxicity, or withdrawal of consent. RESULTS Between January 21 and August 1, 2019, a total of 45 patients were enrolled. Data were analyzed as of July 31, 2023, representing > 48 months since treatment initiation for all patients. Nine (20.0%) patients completed the 2-year study. The median duration of response (DOR) was 16.6 months, and 45.0% of patients achieved a DOR of ≥ 24 months. The 12-month progression-free survival (PFS) rate was 40.7% (95% confidence interval [CI], 25.2-55.6), with an 18-month PFS rate of 37.8% (95% CI, 22.7-52.8). The median overall survival (OS) was 20.3 months (95% CI, 9.3-36.9), and the 24-month OS rate was 47.8% (95% CI, 31.7-62.3). Age > 50 years, programmed death-ligand 1 (PD-L1) combined positive score (CPS) ≥ 1 (versus [vs.] < 1), CPS ≥ 10 (vs. < 1), high tumor mutational burden, and PIK3CA mutations were associated with improved PFS (hazard ratio [HR] < 1) and longer OS (HR < 1). Eight patients who initially responded in the CLAP trial but later experienced disease progression were retreated with ICIs. Among them, 2 (25.0%) achieved a partial response, while 5 (62.5%) had stable disease. Notably, four patients who received retreatment with ICIs survived for more than 45 months. No new safety signals were identified in the present study. CONCLUSION Long-term survival follow-up data demonstrated that camrelizumab plus apatinib has robust, sustained, and durable efficacy in patients with advanced cervical cancer who progress after first-line platinum-based chemotherapy. No new safety signals were noted with long-term treatment.
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Affiliation(s)
- Chunyan Lan
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, P. R. China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, Guangdong, P. R. China
| | - Huaiwu Lu
- Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, Guangzhou, Guangdong, P. R. China
| | - Lin Zhou
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, P. R. China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, Guangdong, P. R. China
| | - Kunlun Liao
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, Guangdong, P. R. China
- Clinical Research Daytime Treatment Center, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, P. R. China
| | - Junxiu Liu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, P. R. China
| | - Zhiwen Xie
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, P. R. China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, Guangdong, P. R. China
| | - Haixi Liang
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, P. R. China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, Guangdong, P. R. China
| | - Guorong Zou
- Cancer Institute of Panyu, Panyu Central Hospital, Guangzhou, Guangdong, P. R. China
| | - Ting Yang
- Medical Affairs, Jiangsu Hengrui Pharmaceuticals Co., Ltd, Shanghai, P. R. China
| | - Qin Xu
- Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, P. R. China
| | - Xin Huang
- Department of Gynecologic Oncology, Sun Yat-sen University Cancer Centre, Guangzhou, Guangdong, P. R. China
- State Key Laboratory of Oncology in South China, Collaborative Innovation Centre for Cancer Medicine, Guangzhou, Guangdong, P. R. China
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Lei T, Lin Y, Lai X, Zhang Y, Ma Y, Wang X, Liu W, Tang Q, Yang T, Feng W, Song W. ITGB5 facilitates gastric cancer metastasis by promoting TGFBR2 endosomal recycling. Cancer Lett 2024:216953. [PMID: 38729557 DOI: 10.1016/j.canlet.2024.216953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/30/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
TGFBR2, a key regulator of the TGFβ signaling pathway, plays a crucial role in gastric cancer (GC) metastasis through its endosomal recycling process. Despite its importance, the mechanisms governing this process remain unclear. Here, we identify integrin β5 (ITGB5) as a critical mediator that promotes TGFBR2 endosomal recycling. Our study reveals elevated expression of ITGB5 in GC, particularly in metastatic cases, correlating with poor patient outcomes. Knockdown of ITGB5 impairs GC cell metastasis both in vitro and in vivo. Mechanistically, ITGB5 facilitates epithelial-mesenchymal transition mediated by TGFβ signaling, thereby enhancing GC metastasis. Acting as a scaffold, ITGB5 interacts with TGFBR2 and SNX17, facilitating SNX17-mediated endosomal recycling of TGFBR2 and preventing lysosomal degradation, thereby maintaining its surface distribution on tumor cells. Notably, TGFβ signaling directly upregulates ITGB5 expression, establishing a positive feedback loop that exacerbates GC metastasis. Our findings shed light on the role of ITGB5 in promoting GC metastasis through SNX17-mediated endosomal recycling of TGFBR2, providing insights for the development of targeted cancer therapies.
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Affiliation(s)
- Tianxiang Lei
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Yingying Lin
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Xiaofan Lai
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Yongxin Zhang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China; Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Yuanchen Ma
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China; Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-Sen University, Guangzhou, Guangdong, 510080, China
| | - Xiaofeng Wang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China; Institute of Precision Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Wenwei Liu
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Qiao Tang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Ting Yang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Wei Feng
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China; Department of Oncology-Pathology, Karolinska Institutet, Karolinska University Hospital, Bioclinicum, Solna, 17177, Sweden
| | - Wu Song
- Department of Gastrointestinal Surgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
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Wang Y, He R, Ren X, Huang K, Lei J, Niu H, Li W, Dong F, Li B, Yang T, Wang C. Developing and validating prediction models for severe exacerbations and readmissions in patients hospitalised for COPD exacerbation (SERCO) in China: a prospective observational study. BMJ Open Respir Res 2024; 11:e001881. [PMID: 38719500 PMCID: PMC11086534 DOI: 10.1136/bmjresp-2023-001881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 04/26/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND There is a lack of individualised prediction models for patients hospitalised with chronic obstructive pulmonary disease (COPD) for clinical practice. We developed and validated prediction models of severe exacerbations and readmissions in patients hospitalised for COPD exacerbation (SERCO). METHODS Data were obtained from the Acute Exacerbations of Chronic Obstructive Pulmonary Disease Inpatient Registry study (NCT02657525) in China. Cause-specific hazard models were used to estimate coefficients. C-statistic was used to evaluate the discrimination. Slope and intercept were used to evaluate the calibration and used for model adjustment. Models were validated internally by 10-fold cross-validation and externally using data from different regions. Risk-stratified scoring scales and nomograms were provided. The discrimination ability of the SERCO model was compared with the exacerbation history in the previous year. RESULTS Two sets with 2196 and 1869 patients from different geographical regions were used for model development and external validation. The 12-month severe exacerbations cumulative incidence rates were 11.55% (95% CI 10.06% to 13.16%) in development cohorts and 12.30% (95% CI 10.67% to 14.05%) in validation cohorts. The COPD-specific readmission incidence rates were 11.31% (95% CI 9.83% to 12.91%) and 12.26% (95% CI 10.63% to 14.02%), respectively. Demographic characteristics, medical history, comorbidities, drug usage, Global Initiative for Chronic Obstructive Lung Disease stage and interactions were included as predictors. C-indexes for severe exacerbations were 77.3 (95% CI 70.7 to 83.9), 76.5 (95% CI 72.6 to 80.4) and 74.7 (95% CI 71.2 to 78.2) at 1, 6 and 12 months. The corresponding values for readmissions were 77.1 (95% CI 70.1 to 84.0), 76.3 (95% CI 72.3 to 80.4) and 74.5 (95% CI 71.0 to 78.0). The SERCO model was consistently discriminative and accurate with C-indexes in the derivation and internal validation groups. In external validation, the C-indexes were relatively lower at 60-70 levels. The SERCO model discriminated outcomes better than prior severe exacerbation history. The slope and intercept after adjustment showed close agreement between predicted and observed risks. However, in external validation, the models may overestimate the risk in higher-risk groups. The model-driven risk groups showed significant disparities in prognosis. CONCLUSION The SERCO model provides individual predictions for severe exacerbation and COPD-specific readmission risk, which enables identifying high-risk patients and implementing personalised preventive intervention for patients with COPD.
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Affiliation(s)
- Ye Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ruoxi He
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital Central South University, Changsha, China
| | - Xiaoxia Ren
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Ke Huang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Jieping Lei
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Hongtao Niu
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Wei Li
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Fen Dong
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
| | - Baicun Li
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Chen Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
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Wang R, Sun H, Yang T, Xu J. Causal relationship between hypertension and risk of constipation: A 2-way 2-sample Mendelian randomization study. Medicine (Baltimore) 2024; 103:e38057. [PMID: 38701266 PMCID: PMC11062663 DOI: 10.1097/md.0000000000038057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 04/08/2024] [Indexed: 05/05/2024] Open
Abstract
Patients with hypertension have a higher risk of having constipation and vice versa. The causal association between these 2 variables is not proven. We performed a retrospective Mendelian randomization analysis to determine the causal association between constipation and hypertension. Two-sample 2-way Mendelian randomization analysis was used. Genetic variants for constipation were derived from genome-wide association study data of European origin (15,902 cases and 395,721 controls). Corresponding genetic associations for hypertension were derived from European ancestry GWAS data (54,358 cases and 408,652 controls). Genetic susceptibility to hypertension was associated with an increased risk of constipation (OR: 3.459, 95% CI: 1.820-6.573, P < .001). In an inverse Mendelian randomization analysis, no causal effect of constipation on hypertension was found (OR: 0.999, 95% CI: 0.987-1.011, P = .834). In sensitivity analyses, these associations persisted and no multiple effects were found. This study suggests that there is a causal relationship between hypertension and constipation and that hypertension may increase the risk of developing constipation.
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Affiliation(s)
- Rong Wang
- Department of Acupuncture, Tianjin University of Traditional Chinese Medicine, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huiying Sun
- Department of Acupuncture, Tianjin University of Traditional Chinese Medicine, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Ting Yang
- Department of Acupuncture, Tianjin University of Traditional Chinese Medicine, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Junfeng Xu
- Department of Acupuncture, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
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Shi M, Wang S, Ren Y, Zhao L, Liu M, Yang L, Yang T. Pegylated-interferon alpha (PEG-IFNα)-induced interstitial lung disease in a patient with chronic hepatitis B: A case report and literature review. Int J Clin Pharmacol Ther 2024:191175. [PMID: 38699975 DOI: 10.5414/cp204504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/03/2024] [Indexed: 05/05/2024] Open
Abstract
OBJECTIVES Interferon (IFN)-induced lung injury is a rare but severe complication. Studies are needed to elucidate the demographic characteristics, clinical manifestations, and prognostic features of IFN-induced interstitial lung disease (ILD). CASE REPORT We report a patient with chronic hepatitis who developed ILD after interferon monotherapy. To further clarify the clinical characteristics of such patients, we searched for cases in which lung injury was documented as a side effect of hepatitis treatment and systematically analyzed all case reports for clinical manifestations, type of treatment, and outcomes. RESULTS This is a 61-year-old male with a previous medical history of chronic hepatitis B. After 2 months of pegylated-interferon alpha (PEG-IFNα) application, he gradually developed cough and exertional dyspnea. Repeated chest images suggested progressive ILD, and lung biopsy revealed subacute lung injury. The diagnosis of PEG-IFNα-induced ILD was made. Including our case, 35 articles containing 45 patients were involved in our review. IFN-induced ILDs, often with a subacute onset, are characterized by nonproductive cough, dyspnea, and pulmonary infiltrates on chest radiograph. Most patients(62%, 28/45) required additional systemic steroid, and 5 (11%) patients who were co-administered ribavirin died of ILD progression despite steroid treatment. CONCLUSION Although rare, IFN-induced ILD can lead to decreased lung function, and sometimes become fatal despite intensive treatment. Most previously reported cases were with chronic hepatitis C, and most of the medication was in combination with ribavirin. IFN-induced ILD should be monitored during IFN therapy, and appropriate steroid is recommended in patients with progressive manifestations.
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Zhang R, Zhou Q, Yang T, He Z. Experimental and numerical investigation of thermal environment of the child trapped in a parked vehicle. Forensic Sci Int 2024; 358:111998. [PMID: 38552403 DOI: 10.1016/j.forsciint.2024.111998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 02/03/2024] [Accepted: 03/17/2024] [Indexed: 04/30/2024]
Abstract
Pediatric vehicular hyperthermia (PVH) has aroused wide public concern recently. High temperatures in closed vehicles with full sun exposure and no ventilation in summer seriously endanger children's lives. Aiming at this practical problem, this study first took the temperature of child's core body as a standard, and divided the hyperthermia into three stages: un-compensable heating (Tc > 37ºC), heat stroke (Tc > 40ºC) and critical thermal maximum (Tc > 42ºC). On this basis, two weeks of outdoor parking experiments during 10:00-18:00, using an equivalent size dummy were conducted to explore the influence of ambient temperature and solar irradiation on cabin temperature, humidity, and child's core body temperature. According to the experimental results, at an ambient temperature of 32.4ºC, the child in the cabin developed un-compensable heating within 72 min, suffered heat stroke within 129 min, and reached the critical thermal maximum within 151 min. Considering the limitations of the experiment, a numerical study was conducted to analyze the effects of ambient temperature, solar irradiation, and window radiation characteristics on cabin temperature and flow fields comprehensively. Simulation results were in good agreement with the experiments: even at low ambient temperature Ta = 23ºC or weak solar irradiation (ts = 18:00) condition, the temperature in a closed compartment could reach the "hazardous" level. This study can provide guidance for public to increase security and prevention awareness, and promote the development of relevant policies and technologies.
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Affiliation(s)
- Rui Zhang
- Department of Vehicle Engineering, College of Engineering, China Agricultural University, Beijing 100083, China
| | - Quan Zhou
- Department of Vehicle Engineering, College of Engineering, China Agricultural University, Beijing 100083, China.
| | - Ting Yang
- Department of Vehicle Engineering, College of Engineering, China Agricultural University, Beijing 100083, China
| | - Zhizhu He
- Department of Vehicle Engineering, College of Engineering, China Agricultural University, Beijing 100083, China.
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Yuan Y, Wang Y, Liu M, Luo H, Liu X, Li L, Mao C, Yang T, Li S, Zhang X, Gao Y, Xu Y, Yang J. Peripheral cutaneous synucleinopathy characteristics in genetic Parkinson's disease. Front Neurol 2024; 15:1404492. [PMID: 38751879 PMCID: PMC11094647 DOI: 10.3389/fneur.2024.1404492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 04/16/2024] [Indexed: 05/18/2024] Open
Abstract
Background Cutaneous phosphorylated alpha-synuclein (p-α-syn) deposition is an important biomarker of idiopathic Parkinson's disease (iPD). Recent studies have reported synucleinopathies in patients with common genetic forms of PD. Objective This study aimed to detect p-α-syn deposition characteristic in rare genetic PD patients with CHCHD2 or RAB39B mutations. Moreover, this study also aimed to describe peripheral alpha-synuclein prion-like activity in genetic PD patients, and acquire whether the cutaneous synucleinopathy characteristics of genetic PD are consistent with central neuropathologies. Methods We performed four skin biopsy samples from the distal leg (DL) and proximal neck (C7) of 161 participants, including four patients with CHCHD2 mutations, two patients with RAB39B mutations, 16 patients with PRKN mutations, 14 patients with LRRK2 mutations, five patients with GBA mutations, 100 iPD patients, and 20 healthy controls. We detected cutaneous synucleinopathies using immunofluorescence staining and a seeding amplification assay (SAA). A systematic literature review was also conducted, involving 64 skin biopsies and 205 autopsies of genetic PD patients with synucleinopathy. Results P-α-syn was deposited in the peripheral cutaneous nerves of PD patients with CHCHD2, LRRK2, or GBA mutations but not in those with RAB39B or PRKN mutations. There were no significant differences in the location or rate of α-syn-positive deposits between genetic PD and iPD patients. Peripheral cutaneous synucleinopathy appears to well represent brain synucleinopathy of genetic PD, especially autosomal dominant PD (AD-PD). Cutaneous α-synuclein SAA analysis of iPD and LRRK2 and GBA mutation patients revealed prion-like activity. Conclusion P-α-syn deposition in peripheral cutaneous nerves, detected using SAA and immunofluorescence staining, may serve as an accurate biomarker for genetic PD and iPD in the future.
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Affiliation(s)
- Yanpeng Yuan
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Yangyang Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Minglei Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Haiyang Luo
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Xiaojing Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Lanjun Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Chengyuan Mao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Ting Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Shuo Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaoyun Zhang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
| | - Jing Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Cerebrovascular Diseases, Zhengzhou University, Zhengzhou, Henan, China
- Institute of Neuroscience, Zhengzhou University, Zhengzhou, Henan, China
- NHC Key Laboratory of Prevention and Treatment of Cerebrovascular Disease, Zhengzhou, Henan, China
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Chen K, Yu C, Pan J, Xu Y, Luo Y, Yang T, Yang X, Xie L, Zhang J, Zhuo R. Prediction of the Nottingham prognostic index and molecular subtypes of breast cancer through multimodal magnetic resonance imaging. Magn Reson Imaging 2024; 108:168-175. [PMID: 38408689 DOI: 10.1016/j.mri.2024.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 02/19/2024] [Accepted: 02/21/2024] [Indexed: 02/28/2024]
Abstract
PURPOSE To explore the ability of intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI) and background parenchyma enhancement (BPE) to predict the Nottingham prognostic index (NPI) and molecular subtypes of breast cancer (BC). MATERIALS AND METHODS In this study, 93 patients with BC were included, and they all underwent DKI, IVIM and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) examinations. The corresponding mean kurtosis value (MK), pure diffusion (MD), perfusion fraction (f), pseudo diffusion coefficient (D*), true diffusion coefficient (D), and BPE were measured. We used logistic regression analysis to investigate the relevance between the NPI, molecular subtypes and variables. The diagnostic efficacy was analyzed using receiver operating characteristic curves (ROC). RESULTS The MD and D values of the high-level NPI group were significantly lower than those of the low-level NPI group (p < 0.01), and the f value of the high-level NPI group was obviously higher than that of low-level NPI group (p < 0.001). The area under curve (AUC) of the combined model (f + D) was 0.824. Comparing with non-Luminal subtypes, the Luminal subtypes showed obviously lower MK, f and D*, and the AUC of the combined model (MK + f + D*) was 0.785. In comparison to other subtypes, the MK and D* values of triple-negative subtype were higher than other subtypes, and the combined model (MK + D*) represented an AUC of 0.865. CONCLUSION The quantitative parameters of DKI and IVIM have vital value in predicting the NPI and molecular subtypes of BC, while BPE could not provide additional information. Besides, these combined models can obviously improve the prediction performance.
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Affiliation(s)
- Kewei Chen
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China; Department of Radiology, Women and Children's Hospital of Ningbo University, Ningbo, Zhejiang, China
| | - Chengxin Yu
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China.
| | - Junlong Pan
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China
| | - Yaqia Xu
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China
| | - Yuqing Luo
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China
| | - Ting Yang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Xiaoling Yang
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China
| | - Lisi Xie
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China
| | - Jing Zhang
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China
| | - Renfeng Zhuo
- Department of Radiology, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei, China
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Yang T, Duan H, Nian H, Wang P, Yan C, Cao F, Li Q, Cao L. Unraveling the structure-chirality sensing relationship between achiral anthracene-based tetracationic nanotubes and nucleosides in aqueous host-guest complexation. Biosens Bioelectron 2024; 258:116342. [PMID: 38705071 DOI: 10.1016/j.bios.2024.116342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/28/2024] [Accepted: 04/26/2024] [Indexed: 05/07/2024]
Abstract
In biological systems, nucleosides play crucial roles in various physiological processes. In this study, we designed and synthesized four achiral anthracene-based tetracationic nanotubes (1-4) as artificial hosts and chiroptical sensors for nucleosides in aqueous media. Notably, different nanotubes exhibit varied chirality sensing on circular dichroism (CD)/circularly polarized luminescence (CPL) spectra through the host-guest complexation, which prompted us to explore the factors influencing their chiroptical responses. Through systematic host-guest experiments, the structure-chirality sensing relationship between achiral anthracene-based tetracationic nanotubes and nucleosides in the host-guest complexation was unraveled. Firstly, the CD response originates from the anthracene rings situated at the side-wall position, resulting from the right-handed (P)- or left-handed (M)-twisted conformation of the macrocyclic structure. Secondly, the CPL signal is influenced by the presence of anthracene rings at the linking-wall position, which results from intermolecular chiral twisted stacking between these anthracene rings. Therefore, these nanotubes can serve as chiroptical sensor arrays to enhance the accuracy of nucleotide recognition through principal component analysis (PCA) analysis based on the diversified CD spectra. This study provides insights for the construction of adaptive chirality from achiral nanotubes with dynamic conformational nature and might facilitate further design of chiral functional materials for several applications.
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Affiliation(s)
- Ting Yang
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China
| | - Honghong Duan
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China; Xian North Qinghua Electrical Co., Ltd, Xi'an, 710054, China
| | - Hao Nian
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China; Southern University of Science and Technology, Shenzhen, 518055, China
| | - Pingxia Wang
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China
| | - Chaochao Yan
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China
| | - Fan Cao
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China
| | - Qingfang Li
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China
| | - Liping Cao
- College of Chemistry and Materials Science, Northwest University, Xi'an 710069, China.
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Xu Q, Li Q, Yang T, Long J, Huang Y, Luo Y, Fang Y, Chen X, Lu X, Zhao T, Ma E, Chen J, Wang M, Xia Q. Comprehensive quality evaluation of fermented-steaming Fructus Aurantii based on chemical composition, flavor characteristics, and intestinal microbial community. J Food Sci 2024; 89:2611-2628. [PMID: 38571450 DOI: 10.1111/1750-3841.17052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/18/2024] [Accepted: 03/12/2024] [Indexed: 04/05/2024]
Abstract
Fructus Aurantii (FA) is an edible and medicinal functional food used worldwide that enhances digestion. Since raw FA (RFA) possesses certain side effects for some patients, processed FA (PFA) is commonly used in clinical practice. This study aimed to establish an objective and comprehensive quality evaluation of the PFA that employed the technique of steaming and fermentation. Combined with the volatile and non-volatile components, as well as the regulation of gut microbiota, the differentiation between RFA and PFA was analyzed. The results showed that the PFA considerably reduced the contents of flavonoid glycosides while increasing hesperidin-7-O-glucoside and flavonoid aglycones. The electronic nose and GC-MS (Gas chromatography/mass spectrometry) effectively detected the variation in flavor between RFA and PFA. Correlation analysis revealed that eight volatile components (relative odor activity value [ROAV] ≥ 0.1) played a key role in inducing odor modifications. The original floral and woody notes were subdued due to decreased levels of linalool, sabinene, α-terpineol, and terpinen-4-ol. After processing, more delightful flavors such as lemon and fruity aromas were acquired. Furthermore, gut microbiota analysis indicated a significant increase in beneficial microbial taxa. Particularly, Lactobacillus, Akkermansia, and Blautia exhibited higher abundance following PFA treatment. Conversely, a lower presence of pathogenic bacteria, including Proteobacteria, Flexispira, and Clostridium. This strategy contributes to a comprehensive analysis technique for the quality assessment of FA, providing scientific justifications for processing FA into high-value products with enhanced health benefits. PRACTICAL APPLICATION: This study provided an efficient approach to Fructus Aurantii quality evaluation. The methods of fermentation and steaming showed improved quality and safety.
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Affiliation(s)
- Qijian Xu
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Qinru Li
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ting Yang
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jiangling Long
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yingying Huang
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuting Luo
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yangbing Fang
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xuemei Chen
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaomei Lu
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Tingxiu Zhao
- School of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Enyao Ma
- Guangdong Hanchao Traditional Chinese Medicine Technology Co., Ltd., Guangzhou, China
| | - Jiamin Chen
- Lingnan Traditional Chinese Medicine Slices Co., Ltd., Guangzhou, China
| | - Meiqi Wang
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Quan Xia
- School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China
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Zhu C, Wang D, Chang C, Liu A, Zhou J, Yang T, Jiang Y, Li X, Jiang W. Dexmedetomidine alleviates blood-brain barrier disruption in rats after cerebral ischemia-reperfusion by suppressing JNK and p38 MAPK signaling. Korean J Physiol Pharmacol 2024; 28:239-252. [PMID: 38682172 PMCID: PMC11058545 DOI: 10.4196/kjpp.2024.28.3.239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 05/01/2024]
Abstract
Dexmedetomidine displays multiple mechanisms of neuroprotection in ameliorating ischemic brain injury. In this study, we explored the beneficial effects of dexmedetomidine on blood-brain barrier (BBB) integrity and neuroinflammation in cerebral ischemia/reperfusion injury. Sprague-Dawley rats were subjected to middle cerebral artery occlusion (MCAO) for 1.5 h and reperfusion for 24 h to establish a rat model of cerebral ischemia/reperfusion injury. Dexmedetomidine (9 g/kg) was administered to rats 30 min after MCAO through intravenous injection, and SB203580 (a p38 MAPK inhibitor, 200 g/kg) was injected intraperitoneally 30 min before MCAO. Brain damages were evaluated by 2,3,5-triphenyltetrazolium chloride staining, hematoxylin-eosin staining, Nissl staining, and brain water content assessment. BBB permeability was examined by Evans blue staining. Expression levels of claudin-5, zonula occludens-1, occludin, and matrix metalloproteinase-9 (MMP-9) as well as M1/M2 phenotypes-associated markers were assessed using immunofluorescence, RT-qPCR, Western blotting, and gelatin zymography. Enzyme-linked immunosorbent assay was used to examine inflammatory cytokine levels. We found that dexmedetomidine or SB203580 attenuated infarct volume, brain edema, BBB permeability, and neuroinflammation, and promoted M2 microglial polarization after cerebral ischemia/reperfusion injury. Increased MMP-9 activity by ischemia/reperfusion injury was inhibited by dexmedetomidine or SB203580. Dexmedetomidine inhibited the activation of the ERK, JNK, and p38 MAPK pathways. Moreover, activation of JNK or p38 MAPK reversed the protective effects of dexmedetomidine against ischemic brain injury. Overall, dexmedetomidine ameliorated brain injury by alleviating BBB permeability and promoting M2 polarization in experimental cerebral ischemia/reperfusion injury model by inhibiting the activation of JNK and p38 MAPK pathways.
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Affiliation(s)
- Canmin Zhu
- Department of Neurology, The First Peopleʼs Hospital of Jiangxia District, Wuhan 430200, Hubei, China
| | - Dili Wang
- Department of Neurology, The First Peopleʼs Hospital of Jiangxia District, Wuhan 430200, Hubei, China
| | - Chang Chang
- Department of Neurology, The First Peopleʼs Hospital of Jiangxia District, Wuhan 430200, Hubei, China
| | - Aofei Liu
- Department of Medicine, Soochow University, Suzhou 215006, Jiangsu, China
- Department of Vascular Neurosurgery, PLA Rocket Force Characteristic Medical Center, Beijing 100088, China
| | - Ji Zhou
- Department of Medicine, Soochow University, Suzhou 215006, Jiangsu, China
- Department of Vascular Neurosurgery, PLA Rocket Force Characteristic Medical Center, Beijing 100088, China
| | - Ting Yang
- Department of Neurology, The First Peopleʼs Hospital of Jiangxia District, Wuhan 430200, Hubei, China
| | - Yuanfeng Jiang
- Department of Medicine, Soochow University, Suzhou 215006, Jiangsu, China
- Department of Vascular Neurosurgery, PLA Rocket Force Characteristic Medical Center, Beijing 100088, China
| | - Xia Li
- Department of Medicine, Soochow University, Suzhou 215006, Jiangsu, China
- Department of Vascular Neurosurgery, PLA Rocket Force Characteristic Medical Center, Beijing 100088, China
| | - Weijian Jiang
- Department of Medicine, Soochow University, Suzhou 215006, Jiangsu, China
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Huang K, Han X, Pan Z, Xu J, Zhao J, Zhang X, Song Y, Kang J, Ran P, Zhou Y, Shen H, Wen F, Huang K, Chen Y, Guo Y, Shan G, Wu S, Guan T, Yang T, Wang C. Impact of Using Pre- and Post-Bronchodilator Spirometry Reference Values in a Chinese Population. Am J Respir Crit Care Med 2024. [PMID: 38687500 DOI: 10.1164/rccm.202308-1488oc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 04/29/2024] [Indexed: 05/02/2024] Open
Abstract
RATIONALE Spirometry reference equations that are derived from a large, nationally representative, general population are warranted in China and the impact of using pre- and post-BD spirometry reference values has yet to be assessed in Chinese populations. OBJECTIVES To present both the pre-BD and post-BD spirometry reference values for Chinese adults using the China Pulmonary Health (CPH) study. METHODS A reference population of 17969 healthy, non-smoking participants in the CPH study was used to calculate the pre- and post-BD reference values for the forced expiratory volume in 1 s (FEV1), forced vital capacity (FVC) and FEV1/FVC. Both pre- and post-BD reference values were applied to the entire CPH population (50991 individuals) to illustrate the divergence between the use of references in determining the disease prevalence and severity grading. MEASUREMENTS AND MAIN RESULTS The prevalence of airflow limitation was 5.36% using pre-BD reference and 8.02% using the post-BD reference. Individuals who had post-BD FEV1/FVC below post-BD but higher than pre-BD reference values were found to have significantly higher rates of self-reported respiratory symptoms, and significantly lower values in spirometry indicators than those above post-BD reference values. An additional 3.51% of participants were identified as grade II-IV COPD using the post-BD FEV1 predicted values. CONCLUSION This study generated and applied pre- and post-bronchodilator spirometry reference values in a nationally representative Chinese adult population. Post-BD reference values may serve as an additional criterion in identifying individuals at risk for obstructive pulmonary diseases, its diagnostic and prognostic values should be further investigated.
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Affiliation(s)
- Ke Huang
- China-Japan Friendship Hospital, 36635, Pulmonary and Critical Care Medicine, Beijing, China
| | - Xueyan Han
- Chinese Academy of Medical Sciences & Peking Union Medical College, 12501, School of Health Policy and Management, Beijing, China
| | - Zhaoyang Pan
- Chinese Academy of Medical Sciences & Peking Union Medical College, 12501, Beijing, China
| | | | - Jianping Zhao
- Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Department of Respiratory and Critical Care Medicine, Wuhan, Hubei , China
| | | | - Yuanlin Song
- Zhongshan Hospital, Fudan University, Department of Pulmonary medicnie, Shanghai, China
| | - Jian Kang
- The First Hospital of China Medical University, Shenyang, Liaoning, China
| | - Pixin Ran
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Yumin Zhou
- The First Affiliated Hospital, Guangzhou Medical University, Guangzhou Institute of Respiratory Diseases, State Key Laboratory of Respiratory Diseases, The First Affiliated Hospital, Department of Laboratory Medicine, Guangzhou, Guangdong, China
| | - Huahao Shen
- Zhejiang University School of Medicine, Respiratory and Critical Care Medicine, Hangzhou, Zhejiang, China
- State Key Lab for Respiratory Diseases, Guangzhou, Guangdong, China
| | - Fuqiang Wen
- West China Hospital of Sichuan University, Chengdu, China
| | - Kewu Huang
- Capital Medical University, 12517, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing, China
| | - Yahong Chen
- Peking University,Third Hospital, Respiratory Department, Beijing, China
| | - Yanfei Guo
- Beijing Hospital, Department of Pulmonary and Critical Care Medicine, Beijing, China
| | - Guangliang Shan
- Chinese Academy of Medical Sciences & Peking Union Medical College, 12501, Beijing, China
| | - Sinan Wu
- China-Japan Friendship Hospital, 36635, Beijing, China
| | - Tianjia Guan
- Chinese Academy of Medical Sciences & Peking Union Medical College, 12501, Beijing, China;
| | - Ting Yang
- China-Japan Friendship Hospital, 36635, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, Beijing, China
| | - Chen Wang
- Chinese Academy of Medical Sciences and Peking Union Medical College, 12501, Beijing, China
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22
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Li J, Yang T, Yuan F, Lv X, Zhou Y. Inhibitory Effect and Potential Antagonistic Mechanism of Isolated Epiphytic Yeasts against Botrytis cinerea and Alternaria alternata in Postharvest Blueberry Fruits. Foods 2024; 13:1334. [PMID: 38731706 PMCID: PMC11083711 DOI: 10.3390/foods13091334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/19/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
This study evaluated the biocontrol effect of isolated epiphytic yeasts (Papiliotrema terrestris, Hanseniaspora uvarum, and Rhodosporidium glutinis) against Botrytis cinerea and Alternaria alternata in blueberry fruits and its possible mechanisms. Our findings indicated that the three tested yeasts exerted a good biocontrol effect on postharvest diseases in blueberry, and that H. uvarum was the most effective. In addition, the three tested yeasts could improve the postharvest storage quality of blueberry fruits to some extent. H. uvarum demonstrated the strongest direct inhibitory effect on pathogens by suppressing spore germination, mycelial growth, and antifungal volatile organic compound (VOC) production. P. terrestris showed the highest extracellular lytic enzymes activities. It also had better adaptation to low temperature in fruit wounds at 4 °C. The biofilm formation capacity was suggested to be the main action mechanism of R. glutinis, which rapidly colonized fruit wounds at 20 °C. Several action mechanisms are employed by the superb biocontrol yeasts, while yeast strains possess distinctive characteristics and have substantially different action mechanisms.
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Affiliation(s)
| | | | | | | | - Yahan Zhou
- School of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China; (J.L.); (T.Y.); (F.Y.); (X.L.)
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23
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Duan R, Huang K, Yu T, Chang C, Chu X, Huang Y, Zheng Z, Ma L, Li B, Yang T. Interleukin-2/anti-interleukin-2 complex attenuates inflammation in a mouse COPD model by expanding CD4 + CD25 + Foxp3 + regulatory T cells. Int Immunopharmacol 2024; 131:111849. [PMID: 38503017 DOI: 10.1016/j.intimp.2024.111849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/02/2024] [Accepted: 03/09/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND AND PURPOSE Chronic, nonspecific inflammation of the alveoli and airways is an important pathological feature of chronic obstructive pulmonary disease (COPD), while sustained inflammatory reactions can cause alveolar damage. Regulatory T cells (Tregs) inhibit inflammation, whereas the interleukin-2/anti-interleukin-2 complex (IL-2C) increases the number of Tregs; however, whether the IL-2C has a therapeutic role in COPD remains unknown. Therefore, this study investigated whether IL-2C alleviates lung inflammation in COPD by increasing the number of Tregs. EXPERIMENTAL APPROACH A mouse COPD model was created by exposing mice to lipopolysaccharides (LPS) and cigarette smoke (CS), and the effects of IL-2C treatment on COPD were evaluated. The number of Tregs in the spleen and lung, pulmonary pathological changes, and inflammatory damage were examined through flow cytometry, histopathology, and immunofluorescence, respectively. KEY RESULTS IL-2C increased the number of Treg cells in the spleen and lungs after exposure to CS and LPS, reduced the number of T helper 17 (Th17) cells in lung tissue, and improved the Th17/Treg balance. IL-2C decreased the number of inflammatory cells and reduced the levels of pro-inflammatory cytokines IL-6, TNF-α, IL-1β, CCL5, KC, and MCP-1 in bronchoalveolar lavage fluid and serum. IL-2C significantly reduced the pathological scores for lung inflammation, as well as decreased airway mucus secretion and infiltration of neutrophils and macrophages in the lungs. The depletion of Tregs using anti-CD25 antibodies eliminated the beneficial effects of IL-2C. CONCLUSIONS AND IMPLICATIONS IL-2C is a potential therapeutic agent for alleviating excessive inflammation in the lungs of patients with COPD.
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Affiliation(s)
- Ruirui Duan
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, China
| | - Ke Huang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, China
| | - Tao Yu
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Chenli Chang
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xu Chu
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, China
| | - Yuhang Huang
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhoude Zheng
- Peking University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Linxi Ma
- Queen Mary School, Nanchang University, Nanchang, Jiangxi, China
| | - Baicun Li
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, China.
| | - Ting Yang
- Department of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China; National Center for Respiratory Medicine, Beijing, China; State Key Laboratory of Respiratory Health and Multimorbidity, China.
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24
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Xie L, Xu J, Xu H, Zhang B, Lin W, Yang T. Multiple autoimmune disorders refractory to glucocorticoids after allogeneic hematopoietic stem cell transplantation: a case report and review of the literature. Front Immunol 2024; 15:1366101. [PMID: 38707905 PMCID: PMC11066190 DOI: 10.3389/fimmu.2024.1366101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/08/2024] [Indexed: 05/07/2024] Open
Abstract
We report here the case of a 50-year-old man who was first diagnosed with myelodysplastic syndrome with excess blasts-2 (MDS-EB-2) and underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) in 2019, resulting in complete remission. However, he was diagnosed in 2021 with several autoimmune disorders, including autoimmune hepatitis (AIH), Hashimoto's thyroiditis (HT), and autoimmune hemolytic anemia (AIHA). This is referred as multiple autoimmune syndrome (MAS), which is a rare occurrence after allo-HSCT, as previously noted in the literature. Despite being treated with glucocorticoids, cyclosporine A, and other medications, the patient did not fully recover. To address the glucocorticoid-refractory MAS, a four-week course of rituximab (RTX) at a weekly dose of 100mg was administered, which significantly improved the patient's condition. Thus, this case report underscores the importance of implementing alternative treatments in patients with post-transplant autoimmune diseases, who are glucocorticoid-refractory or glucocorticoid-dependent, and highlights the effectiveness of RTX as second-line therapy.
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Affiliation(s)
- Linjun Xie
- Department of Hematology, The First Hospital of Putian City, Putian, China
- The School of Clinical Medicine, Fujian Medical University, Fuzhou, China
| | - Jingjing Xu
- Department of Hematology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Hematology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Institute of Precision Medicine, Fujian Medical University, Fuzhou, China
| | - Huiping Xu
- Department of Clinical Nutrition, The First Hospital of Putian City, Putian, China
| | - Beibei Zhang
- Department of Hematology, The First Hospital of Putian City, Putian, China
| | - Wuqiang Lin
- Department of Hematology, The First Hospital of Putian City, Putian, China
| | - Ting Yang
- Department of Hematology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Department of Hematology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
- Institute of Precision Medicine, Fujian Medical University, Fuzhou, China
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25
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Zhao J, Yang T, Yi J, Hu H, Lai Q, Nie L, Liu M, Chu C, Yang J. AP39 through AMPK-ULK1-FUNDC1 pathway regulates mitophagy, inhibits pyroptosis, and improves doxorubicin-induced myocardial fibrosis. iScience 2024; 27:109321. [PMID: 38558936 PMCID: PMC10981016 DOI: 10.1016/j.isci.2024.109321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 01/10/2024] [Accepted: 02/20/2024] [Indexed: 04/04/2024] Open
Abstract
Doxorubicin induces myocardial injury and fibrosis. Still, no effective interventions are available. AP39 is an H2S donor that explicitly targets mitochondria. This study investigated whether AP39 could improve doxorubicin-induced myocardial fibrosis. Doxorubicin induced significant myocardial fibrosis while suppressing mitophagy-related proteins and elevating pyroptosis-related proteins. Conversely, AP39 reverses these effects, enhancing mitophagy and inhibiting pyroptosis. In vitro experiments revealed that AP39 inhibited H9c2 cardiomyocyte pyroptosis, improved doxorubicin-induced impairment of mitophagy, reduced ROS levels, ameliorated the mitochondrial membrane potential, and upregulated AMPK-ULK1-FUNDC1 expression. In contrast, AMPK inhibitor (dorsomorphin) and ULK1 inhibitor (SBI-0206965) reversed AP39 antagonism of doxorubicin-induced FUNDC1-mediated impairment of mitophagy and secondary cardiomyocyte pyroptosis. These results suggest that mitochondria-targeted H2S can antagonize doxorubicin-induced pyroptosis and impaired mitophagy in cardiomyocytes via AMPK-ULK1-FUNDC1 and ameliorated myocardial fibrosis and remodeling.
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Affiliation(s)
- Junxiong Zhao
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
| | - Ting Yang
- School of Pharmaceutical Science of University of South China, Hengyang 421000, China
- Department of Pharmacy, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
| | - Jiali Yi
- Department of Cardiology, Hunan University of Medicine General Hospital, Huaihua 418000, China
| | - Hongmin Hu
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
| | - Qi Lai
- School of Pharmaceutical Science of University of South China, Hengyang 421000, China
- Department of Pharmacy, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
| | - Liangui Nie
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
| | - Maojun Liu
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
| | - Chun Chu
- Department of Pharmacy, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
| | - Jun Yang
- Department of Cardiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421000, China
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Shi M, Qumu S, Wang S, Peng Y, Yang L, Huang K, He R, Dong F, Niu H, Yang T, Wang C. Abnormal heart rate responses to exercise in non-severe COPD: relationship with pulmonary vascular volume and ventilatory efficiency. BMC Pulm Med 2024; 24:183. [PMID: 38632576 PMCID: PMC11022473 DOI: 10.1186/s12890-024-03003-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 04/09/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Despite being a prognostic predictor, cardiac autonomic dysfunction (AD) has not been well investigated in chronic obstructive pulmonary disease (COPD). We aimed to characterise computed tomography (CT), spirometry, and cardiopulmonary exercise test (CPET) features of COPD patients with cardiac AD and the association of AD with CT-derived vascular and CPET-derived ventilatory efficiency metrics. METHODS This observational cohort study included stable, non-severe COPD patients. They underwent clinical evaluation, spirometry, CPET, and CT. Cardiac AD was determined based on abnormal heart rate responses to exercise, including chronotropic incompetence (CI) or delayed heart rate recovery (HRR) during CPET. RESULTS We included 49 patients with FEV1 of 1.2-5.0 L (51.1-129.7%), 24 (49%) had CI, and 15 (31%) had delayed HRR. According to multivariate analyses, CI was independently related to reduced vascular volume (VV; VV ≤ median; OR [95% CI], 7.26 [1.56-33.91]) and low ventilatory efficiency (nadir VE/VCO2 ≥ median; OR [95% CI], 10.67 [2.23-51.05]). Similar results were observed for delayed HRR (VV ≤ median; OR [95% CI], 11.46 [2.03-64.89], nadir VE/VCO2 ≥ median; OR [95% CI], 6.36 [1.18-34.42]). CONCLUSIONS Cardiac AD is associated with impaired pulmonary vascular volume and ventilatory efficiency. This suggests that lung blood perfusion abnormalities may occur in these patients. Further confirmation is required in a large population-based cohort.
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Affiliation(s)
- Minghui Shi
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Capital Medical University, 100069, Beijing, China
| | - Shiwei Qumu
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
| | - Siyuan Wang
- Department of Rehabilitation Medicine, China-Japan Friendship Hospital, 100029, Beijing, China
| | - Yaodie Peng
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Peking University Health Science Center, 100871, Beijing, China
| | - Lulu Yang
- Fangzhuang Community Health Service Center, Capital Medical University, 100078, Beijing, China
| | - Ke Huang
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
| | - Ruoxi He
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
| | - Feng Dong
- Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, 100078, Beijing, China
| | - Hongtao Niu
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China
| | - Ting Yang
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
| | - Chen Wang
- National Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
- National Clinical Research Center for Respiratory Diseases, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, No. 2 East Yinghua Road, Chaoyang District, 100029, Beijing, China.
- Capital Medical University, 100069, Beijing, China.
- Chinese Academy of Medical Sciences and Peking Union Medical College, No. 2 East Yinghua Road, Chaoyang District, 100730, Beijing, China.
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Yang T, Liu X, Xue L, Liu X, Zhang L, Lan L, Zhang H, Sun G. Quality assessment of Red Yeast Rice by fingerprint and fingerprint-effect relationship combined with antioxidant activity. Food Chem 2024; 438:137744. [PMID: 37995583 DOI: 10.1016/j.foodchem.2023.137744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 10/07/2023] [Accepted: 10/11/2023] [Indexed: 11/25/2023]
Abstract
Red Yeast Rice (RYR) is an important functional food ingredient that plays a critical role in promoting dietary guidance and maintaining health. To ensure its quality, four key compounds were quantified, and both HPLC fingerprint and electrochemical fingerprint (ECFP) were applied to assess quality. Additionally, 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS+•) scavenging test and ECFP were applied to assay the total antioxidant activity, with ascorbic acid as the positive control. The results showed that the holistic quality of samples was divided into 4 grades based on HPLC fingerprint analysis by the comprehensive linear quantitative fingerprint method. Additionally, the area of the total peak (Atp) in ECFP was found to be linearly correlated with the antioxidant activity (R > 0.99). A further fingerprint-efficacy relationship analysis determined the significant contributions to the antioxidant activity of peaks 20-Daidzein, 21-Glycitein, and 24-Genistein. Overall, this study suggested a comprehensive and reliable approach to the quality assessment of RYR.
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Affiliation(s)
- Ting Yang
- Shenyang Pharmaceutical University, Shenyang 110016, China.
| | - Xiaoling Liu
- Shenyang Pharmaceutical University, Shenyang 110016, China.
| | - Lan Xue
- Beijing Peking University WBL Biotech Co. Ltd., Beijing 100094, China.
| | - Xi Liu
- Beijing Peking University WBL Biotech Co. Ltd., Beijing 100094, China.
| | - Limei Zhang
- Beijing Peking University WBL Biotech Co. Ltd., Beijing 100094, China.
| | - Lili Lan
- Shenyang Pharmaceutical University, Shenyang 110016, China.
| | - Hong Zhang
- Shenyang Pharmaceutical University, Shenyang 110016, China.
| | - Guoxiang Sun
- Shenyang Pharmaceutical University, Shenyang 110016, China.
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Wu L, Wang P, Zhang Q, Ren H, Shi Z, Hu W, Chen J, Xie Q, Li L, Yue S, Wei L, Song L, Zhang Y, Wang Z, Chen S, Wei W, Wang X, Zhang Y, Kong S, Ge B, Yang T, Fang Y, Ren L, Deng J, Sun Y, Wang Z, Zhang H, Hu J, Liu CQ, Harrison RM, Ying Q, Fu P. Dominant contribution of combustion-related ammonium during haze pollution in Beijing. Sci Bull (Beijing) 2024; 69:978-987. [PMID: 38242834 DOI: 10.1016/j.scib.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 12/08/2023] [Accepted: 12/12/2023] [Indexed: 01/21/2024]
Abstract
Aerosol ammonium (NH4+), mainly produced from the reactions of ammonia (NH3) with acids in the atmosphere, has significant impacts on air pollution, radiative forcing, and human health. Understanding the source and formation mechanism of NH4+ can provide scientific insights into air quality improvements. However, the sources of NH3 in urban areas are not well understood, and few studies focus on NH3/NH4+ at different heights within the atmospheric boundary layer, which hinders a comprehensive understanding of aerosol NH4+. In this study, we perform both field observation and modeling studies (the Community Multiscale Air Quality, CMAQ) to investigate regional NH3 emission sources and vertically resolved NH4+ formation mechanisms during the winter in Beijing. Both stable nitrogen isotope analyses and CMAQ model suggest that combustion-related NH3 emissions, including fossil fuel sources, NH3 slip, and biomass burning, are important sources of aerosol NH4+ with more than 60% contribution occurring on heavily polluted days. In contrast, volatilization-related NH3 sources (livestock breeding, N-fertilizer application, and human waste) are dominant on clean days. Combustion-related NH3 is mostly local from Beijing, and biomass burning is likely an important NH3 source (∼15%-20%) that was previously overlooked. More effective control strategies such as the two-product (e.g., reducing both SO2 and NH3) control policy should be considered to improve air quality.
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Affiliation(s)
- Libin Wu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China; IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China
| | - Qiang Zhang
- Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing 100084, China
| | - Hong Ren
- Air Environmental Modeling and Pollution Controlling Key Laboratory of Sichuan Higher Education Institute, Chengdu University of Information Technology, Chengdu 610225, China
| | - Zongbo Shi
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | - Wei Hu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Jing Chen
- School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China
| | - Qiaorong Xie
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Linjie Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Siyao Yue
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Lianfang Wei
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Linlin Song
- Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China
| | - Yonggen Zhang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Zihan Wang
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Shuang Chen
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Wan Wei
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xiaoman Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, China; IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China
| | - Yanlin Zhang
- Yale-NUIST Center on Atmospheric Environment, International Joint Laboratory on Climate and Environment Change, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Shaofei Kong
- Department of Atmospheric Sciences, School of Environmental Studies and Department of Environmental Science and Technology, School of Environmental Studies, China University of Geosciences, Wuhan 430074, China
| | - Baozhu Ge
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Ting Yang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yunting Fang
- Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110164, China
| | - Lujie Ren
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Junjun Deng
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Zifa Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Hongliang Zhang
- IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, China; Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China
| | - Jianlin Hu
- Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing University of Information Science and Technology, Nanjing 210044, China
| | - Cong-Qiang Liu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Roy M Harrison
- Division of Environmental Health & Risk Management, School of Geography, Earth & Environmental Sciences, University of Birmingham, Birmingham B15 2TT, UK; Department of Environmental Sciences/Center of Excellence in Environmental Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Qi Ying
- Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station TX 77843-3136, USA
| | - Pingqing Fu
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
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Zhang XM, Yang T, Xu YY, Li BZ, Shen W, Hu WQ, Yan CW, Zong L. Effectiveness and tolerability of programmed cell death protein-1 inhibitor + chemotherapy compared to chemotherapy for upper gastrointestinal tract cancers. World J Gastrointest Oncol 2024; 16:1613-1625. [PMID: 38660631 PMCID: PMC11037061 DOI: 10.4251/wjgo.v16.i4.1613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/27/2023] [Accepted: 02/22/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND The combination of programmed cell death protein-1 (PD-1) inhibitor and chemotherapy is approved as a standard first- or second-line treatment in patients with advanced oesophageal or gastric cancer. However, it is unclear whether this combination is superior to chemotherapy alone. AIM To assess the comparative effectiveness and tolerability of combining PD-1 inhibitors with chemotherapy vs chemotherapy alone in patients with advanced gastric cancer, gastroesophageal junction (GEJ) cancer, or oesophageal carcinoma. METHODS We searched the PubMed and Embase databases for studies that compared the efficacy and tolerance of PD-1 inhibitors in combination with chemotherapy vs chemotherapy alone in patients with advanced oesophageal or gastric cancer. We employed either random or fixed models to analyze the outcomes of each clinical trial, encompassing data on overall survival (OS), progression-free survival (PFS), objective response rate, and adverse events (AEs). RESULTS Nine phase 3 clinical trials (7016 advanced oesophageal and gastric cancer patients) met the inclusion criteria. Our meta-analysis demonstrated that the pooled PD-1 inhibitor + chemotherapy group had a significantly longer OS than the chemotherapy-alone group [hazard ratio (HR) = 0.76, 95% confidence interval (CI): 0.71-0.81]; the pooled PFS result was consistent with that of OS (HR = 0.67, 95%CI: 0.61-0.74). The count of patients achieving an objective response in the PD-1 inhibitor + chemotherapy group surpassed that of the chemotherapy-alone group [odds ratio (OR) = 1.86, 95%CI: 1.59-2.18]. AE incidence was also higher in the combination-therapy group than in the chemotherapy-alone group, regardless of whether ≥ grade 3 only (OR = 1.30, 95%CI: 1.07-1.57) or all AE grades (OR = 1.88, 95%CI: 1.39-2.54) were examined. We performed a subgroup analysis based on the programmed death-ligand 1 (PD-L1) combined positive score (CPS) and noted extended OS and PFS durations within the CPS ≥ 1, CPS ≥ 5, and CPS ≥ 10 subgroups of the PD-1 inhibitor + chemotherapy group. CONCLUSION In contrast to chemotherapy alone, the combination of PD-1 inhibitor and chemotherapy appears to present a more favorable option for initial or subsequent treatment in patients with gastric cancer, GEJ tumor, or oesophageal cancer. This holds true particularly for individuals with PD-L1 CPS scores of ≥ 5 and ≥ 10.
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Affiliation(s)
- Xiao-Min Zhang
- Department of Central Laboratory, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China
| | - Ting Yang
- Department of Central Laboratory, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China
| | - Ying-Ying Xu
- Department of Gastrointestinal Surgery, Yizheng People’s Hospital, The Affiliated Hospital of Yangzhou University, Yangzhou 225000, Jiangsu Province, China
| | - Bao-Zhong Li
- Department of General Surgery, Anyang Tumor Hospital, Anyang 455000, Henan Province, China
| | - Wei Shen
- Department of General Surgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi 214023, Jiangsu Province, China
| | - Wen-Qing Hu
- Department of Gastrointestinal Surgery, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China
| | - Cai-Wen Yan
- Department of Gastroenterology, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China
| | - Liang Zong
- Department of Central Laboratory, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China
- Department of Gastrointestinal Surgery, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China
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Deng L, Wang Q, Liu H, Jiang Y, Xu M, Xiang Y, Yang T, Yang S, Yan D, Li M, Zhao L, Zhao X, Wan K, He G, Mijiti X, Li G. Identification of positively selected genes in Mycobacterium tuberculosis from southern Xinjiang Uygur autonomous region of China. Front Microbiol 2024; 15:1290227. [PMID: 38686109 PMCID: PMC11056549 DOI: 10.3389/fmicb.2024.1290227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 03/28/2024] [Indexed: 05/02/2024] Open
Abstract
Background Tuberculosis (TB), mainly caused by Mycobacterium tuberculosis (Mtb), remains a serious public health problem. Increasing evidence supports that selective evolution is an important force affecting genomic determinants of Mtb phenotypes. It is necessary to further understand the Mtb selective evolution and identify the positively selected genes that probably drive the phenotype of Mtb. Methods This study mainly focused on the positive selection of 807 Mtb strains from Southern Xinjiang of China using whole genome sequencing (WGS). PAML software was used for identifying the genes and sites under positive selection in 807 Mtb strains. Results Lineage 2 (62.70%) strains were the dominant strains in this area, followed by lineage 3 (19.45%) and lineage 4 (17.84%) strains. There were 239 codons in 47 genes under positive selection, and the genes were majorly associated with the functions of transcription, defense mechanisms, and cell wall/membrane/envelope biogenesis. There were 28 codons (43 mutations) in eight genes (gyrA, rpoB, rpoC, katG, pncA, embB, gid, and cut1) under positive selection in multi-drug resistance (MDR) strains but not in drug-susceptible (DS) strains, in which 27 mutations were drug-resistant loci, 9 mutations were non-drug-resistant loci but were in drug-resistant genes, 2 mutations were compensatory mutations, and 5 mutations were in unknown drug-resistant gene of cut1. There was a codon in Rv0336 under positive selection in L3 strains but not in L2 and L4 strains. The epitopes of T and B cells were both hyper-conserved, particularly in the T-cell epitopes. Conclusion This study revealed the ongoing selective evolution of Mtb. We found some special genes and sites under positive selection which may contribute to the advantage of MDR and L3 strains. It is necessary to further study these mutations to understand their impact on phenotypes for providing more useful information to develop new TB interventions.
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Affiliation(s)
- Lele Deng
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Quan Wang
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Haican Liu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Jiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Miao Xu
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yu Xiang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, University of South China, Hengyang, China
| | - Ting Yang
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Shuliu Yang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health, University of South China, Hengyang, China
| | - Di Yan
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Machao Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lili Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiuqin Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Kanglin Wan
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Guangxue He
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaokaiti Mijiti
- Eighth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Guilian Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
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Luo L, Chen Y, Wu Z, Huang Y, Lu L, Li J, Zheng X, Nie C, Chen R, Lin W, Yang T, Hu J. Clinical characteristics, genetic alterations, and prognosis of adult T-cell leukemia/lymphoma: an 11-year multicenter retrospective study in China. Am J Cancer Res 2024; 14:1649-1661. [PMID: 38726267 PMCID: PMC11076263 DOI: 10.62347/rarp1733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 03/10/2024] [Indexed: 05/12/2024] Open
Abstract
Adult T-cell leukemia/lymphoma (ATLL) is an aggressive malignancy with a poor prognosis, and there is little data available from the Chinese population. This retrospective study included 115 patients diagnosed with ATLL who were treated across five hospitals in China from June 2011 to December 2022. The median age at diagnosis was 53 years. Several genes involved in T-cell receptor-induced nuclear factor κB (TCR-NF-κB) signaling were commonly mutated, including PLCG1, CIC, PRKCB, CARD11, and IRF4. Eighty-seven patients received chemotherapy. Of these, 13 received a hematopoietic stem cell transplant (HSCT) (allogeneic-HSCT, n=9; autologous-HSCT, n=4) after chemotherapy. Following initial multiagent chemotherapy using EPOCH/CHOEP and other regimens, the overall response rates were 80.6% (complete response [CR], 44.4%) and 42.8% (CR, 14.2%), respectively. The 4-year survival rates (median survival time in days) for EPOCH/CHOEP (n=43), HSCT (n=13), and CHOP-based regimens (n=31) were 12.7% (138), 30.8% (333), and 0% (66), respectively. Lymphadenopathy, EPOCH/CHOEP, and hematopoietic stem cell transplantation were independent prognostic protective factors in patients with aggressive ATLL. Chinese patients exhibit a higher incidence of aggressive-type ATLL, sharing similar genetic alterations with Japanese patients. Etoposide-based chemotherapy (EPOCH or CHOEP) remains the preferred choice for aggressive ATLL, and upfront allogeneic HSCT should be considered in all eligible patients.
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Affiliation(s)
- Luting Luo
- Fujian Medical University Union HospitalFuzhou, Fujian, China
- The Second Affiliated Hospital, Fujian Medical UniversityQuanzhou, Fujian, China
| | - Yanxin Chen
- Fujian Medical University Union HospitalFuzhou, Fujian, China
| | - Zhengjun Wu
- Fujian Medical University Union HospitalFuzhou, Fujian, China
| | - Yan Huang
- Fujian Medical University Union HospitalFuzhou, Fujian, China
| | - Lihua Lu
- Fujian Medical University Union HospitalFuzhou, Fujian, China
| | - Jiazheng Li
- Fujian Medical University Union HospitalFuzhou, Fujian, China
- The Second Affiliated Hospital, Fujian Medical UniversityQuanzhou, Fujian, China
| | - Xiaoyun Zheng
- Department of Hematology, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital, Fujian Medical UniversityFuzhou, Fujian, China
- Department of Hematology, The First Affiliated Hospital, Fujian Medical UniversityFuzhou, Fujian, China
| | - Chengjun Nie
- Department of Hematology, Ningde Hospital Affiliated to Ningde Normal UniversityNingde, Fujian, China
| | - Renli Chen
- Department of Hematology, Ningde Hospital Affiliated to Ningde Normal UniversityNingde, Fujian, China
| | - Wuqiang Lin
- Department of Hematology, The First Hospital of Putian, Teaching Hospital, Fujian Medical UniversityPutian, Fujian, China
| | - Ting Yang
- Department of Hematology, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital, Fujian Medical UniversityFuzhou, Fujian, China
- Department of Hematology, The First Affiliated Hospital, Fujian Medical UniversityFuzhou, Fujian, China
- Institute of Precision Medicine, Fujian Medical UniversityFuzhou, Fujian, China
| | - Jianda Hu
- Fujian Medical University Union HospitalFuzhou, Fujian, China
- Institute of Precision Medicine, Fujian Medical UniversityFuzhou, Fujian, China
- The Second Affiliated Hospital, Fujian Medical UniversityQuanzhou, Fujian, China
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Li Y, Yang T, Lin X, Huang J, Zeng J, Cai Q, Zhang Y, Rong J, Yu W, Qiu J, Pang Y, Zhou J. Isolation, identification, and optimization of conditions for the degradation of four sulfonamide antibiotics and their metabolic pathways in Pseudomonas stutzeri strain DLY-21. Heliyon 2024; 10:e29123. [PMID: 38601639 PMCID: PMC11004222 DOI: 10.1016/j.heliyon.2024.e29123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 03/28/2024] [Accepted: 04/01/2024] [Indexed: 04/12/2024] Open
Abstract
Overuse of sulfonamides in aquaculture and agriculture leads to residual drugs that cause serious pollution of the environment. However, the residues of sulfonamides in the environment are not unique, and the existing microbial degradation technology has a relatively low degradation rate of sulfonamides. Therefore, in this study, a Pseudomonas stutzeri strain (DLY-21) with the ability to degrade four common SAs was screened and isolated from aerobic compost. Under optimal conditions, the DLY-21 strain degraded four sulfonamides simultaneously within 48 h, and the degradation rates were all over 90%, with the average degradation rates of SAs being sulfoxide (SDM) ≈ sulfachloropyridazine (SCP) > sulfa quinoxaline (SQ) > sulfadiazine (SQ). In addition, the main compounds of the strain DLY-21-degrading SAs were identified by LC-MS analysis. On this basis, four detailed reaction pathways for SA degradation were deduced. This is the first report of the use of a P. stutzeri strain to degrade four sulfonamide antibiotics (SQ, SDM, SCP, and SM1), which can improve the removal efficiency of sulfonamide antibiotic pollutants and thus ameliorate environmental pollution. The results showed that DLY-21 had a good degradation effect on four SAs (SQ, SDM, SCP, and SM1).
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Affiliation(s)
- Yaxin Li
- College of Agriculture, Yangtze University, Jingzhou, 434025, China
| | - Ting Yang
- College of Agriculture, Yangtze University, Jingzhou, 434025, China
| | - Xiaojun Lin
- South China Irstitute of Environmental Sciences, MEE, Guangzhou, 510642, China
| | - Jianfeng Huang
- Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Jingwen Zeng
- South China Irstitute of Environmental Sciences, MEE, Guangzhou, 510642, China
| | - Qianyi Cai
- South China Irstitute of Environmental Sciences, MEE, Guangzhou, 510642, China
| | - Yuanling Zhang
- Guangzhou Shangran Environmental Technology Co., Ltd, 511442, China
| | - Jinnan Rong
- Guangzhou Shangran Environmental Technology Co., Ltd, 511442, China
| | - Weida Yu
- Guangzhou Shangran Environmental Technology Co., Ltd, 511442, China
| | - Jinrong Qiu
- South China Irstitute of Environmental Sciences, MEE, Guangzhou, 510642, China
| | - Yuwan Pang
- Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China
| | - Jianli Zhou
- College of Agriculture, Yangtze University, Jingzhou, 434025, China
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33
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Yang T, Chen M, Liu X, Xue L, Guo Y, Zhang H, Sun G, Sun W. Enhancing quality evaluation in traditional Chinese medicine: Utilizing dual wavelength fusion fingerprint, electrochemical fingerprint, and DSC fingerprint. J Chromatogr A 2024; 1722:464907. [PMID: 38615560 DOI: 10.1016/j.chroma.2024.464907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 04/08/2024] [Accepted: 04/10/2024] [Indexed: 04/16/2024]
Abstract
Developing a reliable and effective quality evaluation system for traditional Chinese medicine (TCM) is both challenging and crucial for its advancement. This study employs fingerprinting techniques to establish precise and comprehensive quality control for TCM, taking Xuezhikang capsules as an example and aiming to facilitate the internationalization of TCM. The "double wavelength absorption coefficient ratio fingerprint" and "Reliability theory" are developed to determine the fingerprint peak purity and fingerprint reliability respectively. Subsequently, the dual-wavelength fusion fingerprint was obtained to avoid the limitations of a single wavelength. In addition, an electrochemical fingerprint (ECFP) was obtained to assess the similarity of electroactive components in the sample, and the Differential Scanning Calorimetry quantized fingerprint (DSC QFP) was introduced for thermal analysis. Fingerprint-efficacy correlations between PL-EC* and dual-wavelength fusion fingerprint (DWFFP) provided valuable insights that there are 76.6 % of the fingerprint compounds exhibited electroactivity. Finally, samples were classified into grades 1∼3 by combining DWFFP, ECFP and DSC QFP through the mean method, meeting the evaluation standard (SL-M > 0.9, PL-M between 80 % and 120 %). This study provides valuable information for ensuring the quality of TCM products, which represents a significant step forward in enhancing the reliability and authenticity of TCM products.
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Affiliation(s)
- Ting Yang
- College of Pharmacy, Shenyang Pharmaceutical University, Wenhua Road 103 110032, Shenyang 110016, China
| | - Ming Chen
- College of Pharmacy, Shenyang Pharmaceutical University, Wenhua Road 103 110032, Shenyang 110016, China
| | - Xi Liu
- Beijing Peking University WBL Biotech Co. Ltd., Beijing 100094, China
| | - Lan Xue
- Beijing Peking University WBL Biotech Co. Ltd., Beijing 100094, China
| | - Yinlei Guo
- Beijing Peking University WBL Biotech Co. Ltd., Beijing 100094, China
| | - Hong Zhang
- College of Pharmacy, Shenyang Pharmaceutical University, Wenhua Road 103 110032, Shenyang 110016, China.
| | - Guoxiang Sun
- College of Pharmacy, Shenyang Pharmaceutical University, Wenhua Road 103 110032, Shenyang 110016, China.
| | - Wanyang Sun
- College of Pharmacy, Shenyang Pharmaceutical University, Wenhua Road 103 110032, Shenyang 110016, China; Guangdong Engineering Research Center of Chinese Medicine & Disease Susceptibility, College of Pharmacy, Jinan University, Guangzhou 510632, China.
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34
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Abratenko P, Alterkait O, Andrade Aldana D, Anthony J, Arellano L, Asaadi J, Ashkenazi A, Balasubramanian S, Baller B, Barr G, Barrow J, Basque V, Benevides Rodrigues O, Berkman S, Bhanderi A, Bhat A, Bhattacharya M, Bishai M, Blake A, Bogart B, Bolton T, Book JY, Camilleri L, Cao Y, Caratelli D, Caro Terrazas I, Cavanna F, Cerati G, Chen Y, Conrad JM, Convery M, Cooper-Troendle L, Crespo-Anadón JI, Del Tutto M, Dennis SR, Detje P, Devitt A, Diurba R, Djurcic Z, Dorrill R, Duffy K, Dytman S, Eberly B, Englezos P, Ereditato A, Evans JJ, Fine R, Finnerud OG, Foreman W, Fleming BT, Foppiani N, Franco D, Furmanski AP, Garcia-Gamez D, Gardiner S, Ge G, Gollapinni S, Goodwin O, Gramellini E, Green P, Greenlee H, Gu W, Guenette R, Guzowski P, Hagaman L, Hen O, Hicks R, Hilgenberg C, Horton-Smith GA, Imani Z, Irwin B, Itay R, James C, Ji X, Jiang L, Jo JH, Johnson RA, Jwa YJ, Kalra D, Kamp N, Karagiorgi G, Ketchum W, Kirby M, Kobilarcik T, Kreslo I, Leibovitch MB, Lepetic I, Li JY, Li K, Li Y, Lin K, Littlejohn BR, Louis WC, Luo X, Mariani C, Marsden D, Marshall J, Martinez N, Martinez Caicedo DA, Mason K, Mastbaum A, McConkey N, Meddage V, Miller K, Mills J, Mogan A, Mohayai T, Mooney M, Moor AF, Moore CD, Mora Lepin L, Mulleriababu S, Naples D, Navrer-Agasson A, Nayak N, Nebot-Guinot M, Nowak J, Oza N, Palamara O, Pallat N, Paolone V, Papadopoulou A, Papavassiliou V, Parkinson HB, Pate SF, Patel N, Pavlovic Z, Piasetzky E, Ponce-Pinto ID, Pophale I, Prince S, Qian X, Raaf JL, Radeka V, Rafique A, Reggiani-Guzzo M, Ren L, Rochester L, Rodriguez Rondon J, Rosenberg M, Ross-Lonergan M, Rudolf von Rohr C, Scanavini G, Schmitz DW, Schukraft A, Seligman W, Shaevitz MH, Sharankova R, Shi J, Snider EL, Soderberg M, Söldner-Rembold S, Spitz J, Stancari M, John JS, Strauss T, Sword-Fehlberg S, Szelc AM, Tang W, Taniuchi N, Terao K, Thorpe C, Torbunov D, Totani D, Toups M, Tsai YT, Tyler J, Uchida MA, Usher T, Viren B, Weber M, Wei H, White AJ, Williams Z, Wolbers S, Wongjirad T, Wospakrik M, Wresilo K, Wright N, Wu W, Yandel E, Yang T, Yates LE, Yu HW, Zeller GP, Zennamo J, Zhang C. First Measurement of η Meson Production in Neutrino Interactions on Argon with MicroBooNE. Phys Rev Lett 2024; 132:151801. [PMID: 38683006 DOI: 10.1103/physrevlett.132.151801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 01/04/2024] [Accepted: 03/13/2024] [Indexed: 05/01/2024]
Abstract
We present a measurement of η production from neutrino interactions on argon with the MicroBooNE detector. The modeling of resonant neutrino interactions on argon is a critical aspect of the neutrino oscillation physics program being carried out by the DUNE and Short Baseline Neutrino programs. η production in neutrino interactions provides a powerful new probe of resonant interactions, complementary to pion channels, and is particularly suited to the study of higher-order resonances beyond the Δ(1232). We measure a flux-integrated cross section for neutrino-induced η production on argon of 3.22±0.84(stat)±0.86(syst) 10^{-41} cm^{2}/nucleon. By demonstrating the successful reconstruction of the two photons resulting from η production, this analysis enables a novel calibration technique for electromagnetic showers in GeV accelerator neutrino experiments.
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Affiliation(s)
- P Abratenko
- Tufts University, Medford, Massachusetts 02155, USA
| | - O Alterkait
- Tufts University, Medford, Massachusetts 02155, USA
| | - D Andrade Aldana
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - J Anthony
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - L Arellano
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Asaadi
- University of Texas, Arlington, Texas 76019, USA
| | - A Ashkenazi
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - S Balasubramanian
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - B Baller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Barr
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - J Barrow
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
- Tel Aviv University, Tel Aviv, Israel, 69978
| | - V Basque
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | | | - S Berkman
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - A Bhanderi
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - A Bhat
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - M Bhattacharya
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Bishai
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Blake
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - B Bogart
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - T Bolton
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - J Y Book
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - L Camilleri
- Columbia University, New York, New York 10027, USA
| | - Y Cao
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - D Caratelli
- University of California, Santa Barbara, California 93106, USA
| | - I Caro Terrazas
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - F Cavanna
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Cerati
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y Chen
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J M Conrad
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - M Convery
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - L Cooper-Troendle
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - J I Crespo-Anadón
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
| | - M Del Tutto
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S R Dennis
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - P Detje
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - A Devitt
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - R Diurba
- Universität Bern, Bern CH-3012, Switzerland
| | - Z Djurcic
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - R Dorrill
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - K Duffy
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - S Dytman
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - B Eberly
- University of Southern Maine, Portland, Maine 04104, USA
| | - P Englezos
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - A Ereditato
- University of Chicago, Chicago, Illinois, 60637, USA
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J J Evans
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - R Fine
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O G Finnerud
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - W Foreman
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - B T Fleming
- University of Chicago, Chicago, Illinois, 60637, USA
| | - N Foppiani
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - D Franco
- University of Chicago, Chicago, Illinois, 60637, USA
| | - A P Furmanski
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - S Gardiner
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - G Ge
- Columbia University, New York, New York 10027, USA
| | - S Gollapinni
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - O Goodwin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - E Gramellini
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - P Green
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University of Oxford, Oxford OX1 3RH, United Kingdom
| | - H Greenlee
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Gu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - R Guenette
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - P Guzowski
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Hagaman
- University of Chicago, Chicago, Illinois, 60637, USA
| | - O Hen
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - R Hicks
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - C Hilgenberg
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | | | - Z Imani
- Tufts University, Medford, Massachusetts 02155, USA
| | - B Irwin
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - R Itay
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C James
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - X Ji
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - L Jiang
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - J H Jo
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - R A Johnson
- University of Cincinnati, Cincinnati, Ohio 45221, USA
| | - Y-J Jwa
- Columbia University, New York, New York 10027, USA
| | - D Kalra
- Columbia University, New York, New York 10027, USA
| | - N Kamp
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - G Karagiorgi
- Columbia University, New York, New York 10027, USA
| | - W Ketchum
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Kirby
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Kobilarcik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - I Kreslo
- Universität Bern, Bern CH-3012, Switzerland
| | - M B Leibovitch
- University of California, Santa Barbara, California 93106, USA
| | - I Lepetic
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - J-Y Li
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - K Li
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - Y Li
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - K Lin
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - B R Littlejohn
- Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
| | - W C Louis
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - X Luo
- University of California, Santa Barbara, California 93106, USA
| | - C Mariani
- Center for Neutrino Physics, Virginia Tech, Blacksburg, Virginia 24061, USA
| | - D Marsden
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - J Marshall
- University of Warwick, Coventry CV4 7AL, United Kingdom
| | - N Martinez
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - D A Martinez Caicedo
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - K Mason
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mastbaum
- Rutgers University, Piscataway, New Jersey 08854, USA
| | - N McConkey
- The University of Manchester, Manchester M13 9PL, United Kingdom
- University College London, London WC1E 6BT, United Kingdom
| | - V Meddage
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - K Miller
- University of Chicago, Chicago, Illinois, 60637, USA
| | - J Mills
- Tufts University, Medford, Massachusetts 02155, USA
| | - A Mogan
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - T Mohayai
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Mooney
- Colorado State University, Fort Collins, Colorado 80523, USA
| | - A F Moor
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - C D Moore
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L Mora Lepin
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | | | - D Naples
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Navrer-Agasson
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - N Nayak
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Nebot-Guinot
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - J Nowak
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - N Oza
- Columbia University, New York, New York 10027, USA
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | - O Palamara
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - N Pallat
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Paolone
- University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
| | - A Papadopoulou
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - V Papavassiliou
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - H B Parkinson
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - S F Pate
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - N Patel
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - Z Pavlovic
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Piasetzky
- Tel Aviv University, Tel Aviv, Israel, 69978
| | | | - I Pophale
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - S Prince
- Harvard University, Cambridge, Massachusetts 02138, USA
| | - X Qian
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - J L Raaf
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - V Radeka
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - A Rafique
- Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
| | - M Reggiani-Guzzo
- The University of Manchester, Manchester M13 9PL, United Kingdom
| | - L Ren
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - L Rochester
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Rodriguez Rondon
- South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
| | - M Rosenberg
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Ross-Lonergan
- Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
| | | | - G Scanavini
- Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
| | - D W Schmitz
- University of Chicago, Chicago, Illinois, 60637, USA
| | - A Schukraft
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - W Seligman
- Columbia University, New York, New York 10027, USA
| | - M H Shaevitz
- Columbia University, New York, New York 10027, USA
| | - R Sharankova
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Shi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - E L Snider
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - M Soderberg
- Syracuse University, Syracuse, New York 13244, USA
| | | | - J Spitz
- University of Michigan, Ann Arbor, Michigan 48109, USA
| | - M Stancari
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J St John
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Strauss
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - S Sword-Fehlberg
- New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
| | - A M Szelc
- University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
| | - W Tang
- University of Tennessee, Knoxville, Tennessee 37996, USA
| | - N Taniuchi
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - K Terao
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - C Thorpe
- Lancaster University, Lancaster LA1 4YW, United Kingdom
| | - D Torbunov
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - D Totani
- University of California, Santa Barbara, California 93106, USA
| | - M Toups
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - Y-T Tsai
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - J Tyler
- Kansas State University (KSU), Manhattan, Kansas 66506, USA
| | - M A Uchida
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - T Usher
- SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
| | - B Viren
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - M Weber
- Universität Bern, Bern CH-3012, Switzerland
| | - H Wei
- Louisiana State University, Baton Rouge, Louisiana 70803, USA
| | - A J White
- University of Chicago, Chicago, Illinois, 60637, USA
| | - Z Williams
- University of Texas, Arlington, Texas 76019, USA
| | - S Wolbers
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - T Wongjirad
- Tufts University, Medford, Massachusetts 02155, USA
| | - M Wospakrik
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - K Wresilo
- University of Cambridge, Cambridge CB3 0HE, United Kingdom
| | - N Wright
- Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
| | - W Wu
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - E Yandel
- University of California, Santa Barbara, California 93106, USA
| | - T Yang
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - L E Yates
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - H W Yu
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
| | - G P Zeller
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - J Zennamo
- Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
| | - C Zhang
- Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
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Wei Q, Dong W, Yu D, Wang K, Yang T, Xiao Y, Long D, Xiong H, Chen J, Xu X, Li T. Early identification of autism spectrum disorder based on machine learning with eye-tracking data. J Affect Disord 2024; 358:326-334. [PMID: 38615846 DOI: 10.1016/j.jad.2024.04.049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/15/2024] [Accepted: 04/11/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND Early identification of autism spectrum disorder (ASD) improves long-term outcomes, yet significant diagnostic delays persist. METHODS A retrospective cohort of 449 children (ASD: 246, typically developing [TD]: 203) was used for model development. Eye-movement data were collected from the participants watching videos that featured eye-tracking paradigms for assessing social and non-social cognition. Five machine learning algorithms, namely random forest, support vector machine, logistic regression, artificial neural network, and extreme gradient boosting, were trained to classify children with ASD and TD. The best-performing algorithm was selected to build the final model which was further evaluated in a prospective cohort of 80 children. The Shapley values interpreted important eye-tracking features. RESULTS Random forest outperformed other algorithms during model development and achieved an area under the curve of 0.849 (< 3 years: 0.832, ≥ 3 years: 0.868) on the external validation set. Of the ten most important eye-tracking features, three measured social cognition, and the rest were related to non-social cognition. A deterioration in model performance was observed using only the social or non-social cognition-related eye-tracking features. LIMITATIONS The sample size of this study, although larger than that of existing studies of ASD based on eye-tracking data, was still relatively small compared to the number of features. CONCLUSIONS Machine learning models based on eye-tracking data have the potential to be cost- and time-efficient digital tools for the early identification of ASD. Eye-tracking phenotypes related to social and non-social cognition play an important role in distinguishing children with ASD from TD children.
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Affiliation(s)
- Qiuhong Wei
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China; College of Medical Informatics, Medical Data Science Academy, Chongqing Engineering Research Center for Clinical Big-data and Drug Evaluation, Chongqing Medical University, Chongqing, China
| | - Wenxin Dong
- College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China; Big Data Center for Children's Medical Care, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Dongchuan Yu
- Key Laboratory of Child Development and Learning Science (Ministry of Education), Research Center for Learning Science, School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, Jiangsu, China
| | - Ke Wang
- Big Data Center for Children's Medical Care, Children's Hospital of Chongqing Medical University, Chongqing, China
| | - Ting Yang
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Yuanjie Xiao
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Dan Long
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Haiyi Xiong
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Jie Chen
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Ximing Xu
- Big Data Center for Children's Medical Care, Children's Hospital of Chongqing Medical University, Chongqing, China.
| | - Tingyu Li
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
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Han D, Yuan S, Feng C, Yang T. A Self-Temperature Compensation Barometer Based on All-Quartz Resonant Pressure Sensor. Sensors (Basel) 2024; 24:2460. [PMID: 38676077 DOI: 10.3390/s24082460] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 03/30/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024]
Abstract
This paper reports a self-temperature compensation barometer based on a quartz resonant pressure sensor. A novel sensor chip that contains a double-ended tuning fork (DETF) resonator and a single-ended tuning fork (SETF) resonator is designed and fabricated. The two resonators are designed on the same diaphragm. The DETF resonator works as a pressure sensor. To reduce the influence of the temperature drift, the SETF resonator works as a temperature compensation sensor, which senses the instantaneous temperature of the DETF resonator. The temperature compensation method based on polynomial fitting is studied. The experimental results show that the accuracy is 0.019% F.S. in a pressure range of 200~1200 hPa over a temperature range of -20 °C~+60 °C. The absolute errors of the barometer are within ±23 Pa. To verify its actual performance, a drone flight test was conducted. The test results are consistent with the actual flight trajectory.
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Affiliation(s)
- Dongxiang Han
- Research Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
- Beijing Research Institute of Telemetry, Beijing 100076, China
| | - Shenfang Yuan
- Research Center of Structural Health Monitoring and Prognosis, State Key Laboratory of Mechanics and Control for Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Congwei Feng
- College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
| | - Ting Yang
- Beijing Research Institute of Telemetry, Beijing 100076, China
- School of Integrated Circuits, Tsinghua University, Beijing 100084, China
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Yang T, Wei F, Guo Y, Zhu M, Hou H, Guo Z, Liu X. The increased effective connectivity from left middle occipital gyrus to right medial septum/diagonal bands in AD patients after donepezil intervention. Front Aging Neurosci 2024; 16:1362790. [PMID: 38659702 PMCID: PMC11039922 DOI: 10.3389/fnagi.2024.1362790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Introduction Donepezil enhances the function of cholinergic nerves by increasing the concentration of acetylcholine, thereby improving clinical symptoms in patients with Alzheimer's disease (AD). However, the neural mechanisms of how donepezil modulates the effective connectivity (EC) network of cholinergic system in AD patients remain unknown. We speculated that the effective network of the cholinergic system changes in AD patients after donepezil intervention. Methods We employed resting-state functional magnetic resonance imaging and Granger causality analysis approach to explore changes in the effective connectivity network of the basal forebrain in AD patients before and after donepezil intervention. This study included 32 participants, including 16 healthy controls (HCs) and 16 AD patients. In a 3T MRI scanner, the 16 AD patients were scanned before and after the donepezil intervention. To compare EC differences between the three groups of participants, ANOVA and post-hoc t-tests analysis were employed. Results Compared to baseline status, AD patients after donepezil intervention had an increased EC from left middle occipital gyrus to right medial septum/diagonal bands. Compared to HCs, AD patients after donepezil intervention had an increased EC from right inferior frontal gyrus/orbit part to right medial septum/diagonal bands, AD patients before donepezil intervention had a reduced EC from right precuneus to right medial septum/diagonal bands. A significant positive correlation was found between EC values in right precuneus and Mini-Mental State Examination in pre-intervention AD patients (r = 0.7338, p = 0.0012). Discussion Our study showed that effective connectivity of brain regions associated with the default mode network in the cholinergic pathway was enhanced after donepezil intervention. The results of this study will help us to better understand the neural mechanisms of donepezil intervention in AD and to find clinical targets for intervention.
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Affiliation(s)
- Ting Yang
- The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Fuquan Wei
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yufei Guo
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Mengxiao Zhu
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Hongtao Hou
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Zhongwei Guo
- Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Xiaozheng Liu
- The Second Affiliated Hospital and Yuying Children’s Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China
- Wenzhou Key Laboratory of Structural and Functional Imaging, Wenzhou, Zhejiang, China
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Zhao L, Cheng L, Yang Y, Wang P, Tian P, Yang T, Nian H, Cao L. Biomimetic Hydrogen-Bonded G ⋅ C ⋅ G ⋅ C Quadruplex within a Tetraphenylethene-Based Octacationic Spirobicycle in Water. Angew Chem Int Ed Engl 2024:e202405150. [PMID: 38591857 DOI: 10.1002/anie.202405150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 04/01/2024] [Accepted: 04/09/2024] [Indexed: 04/10/2024]
Abstract
In biological systems, nucleotide quadruplexes (such as G-quadruplexes) in DNA and RNA that are held together by multiple hydrogen bonds play a crucial functional role. The biomimetic formation of these hydrogen-bonded quadruplexes captured by artificial systems in water poses a significant challenge but can offer valuable insights into these complex functional structures. Herein, we report the formation of biomimetic hydrogen-bonded G ⋅ C ⋅ G ⋅ C quadruplex captured by a tetraphenylethene (TPE) based octacationic spirobicycle (1). The spirobicyclic compound possesses a three-dimensional (3D) crossing dual-cavity structure, which enables the encapsulation of four d(GpC) dinucleotide molecules, thereby realizing 1 : 4 host-guest complexation in water. The X-ray structure reveals that four d(GpC) molecules further form a two-layer G ⋅ C ⋅ G ⋅ C quadruplex with Watson-Crick hydrogen bonds, which are stabilized within the dual hydrophobic cavities of 1 through the cooperative non-covalent interactions of hydrogen bonds, CH⋅⋅⋅π interactions, and hydrophobic effect. Due to the dynamically-rotational propeller chirality of TPE units, 1 with adaptive chirality can further serve as a chiroptical sensor to exhibit opposite Cotton effects with mirror-image CD spectra for the pH-dependent hydrogen-bonded assemblies of d(GpC) including the Watson-Crick G ⋅ C ⋅ G ⋅ C (pH 9.22) and Hoogsteen G ⋅ C+ ⋅ G ⋅ C+ (pH 5.74) quartets through the host-guest chirality transfer in water.
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Affiliation(s)
- Lingyu Zhao
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
| | - Lin Cheng
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
| | - Yanxia Yang
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
| | - Pingxia Wang
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
| | - Ping Tian
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
| | - Ting Yang
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
| | - Hao Nian
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
| | - Liping Cao
- College of Chemistry and Materials Science, Northwest University, Xi'an, 710069, P. R. China)
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Shao RT, Gong EY, Han SS, Chen SM, Yang T, Yang WZ, Wang C. [Proactively embracing the challenges of multimorbidity]. Zhonghua Yi Xue Za Zhi 2024; 104:9-15. [PMID: 38599646 DOI: 10.3760/cma.j.cn12137-20240107-00047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
With rapid socio-economic development and the acceleration of population aging, the average life span of human beings has increased significantly. Individuals suffering from the co-existence of multiple diseases (multimorbidity) have become a new normal in public health and posed severe challenge to human health. Multimorbidity significantly reduces the quality of life, increases disability and mortality risks, complicates disease treatment and care and increases burden of the healthcare system with higher costs. This commentary discusses the definition of multimorbidity and common public misconceptions, then assesses its profound impact on overall public health, socio-economic development and healthcare system. We also proposes the potential strategies to meet the challenges posed by multimorbidity. The main aim is to raise awareness of multimorbidity, advocate proactive responses to improve public health and build a healthy society through the development of prevention and treatment systems and promote precision prevention and treatment for multimorbidity.
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Affiliation(s)
- R T Shao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China
| | - E Y Gong
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China
| | - S S Han
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China Key Laboratory of Pathogen Infection Prevention and Control, Ministry of Education, Peking Union Medical College, Beijing 100730, China
| | - S M Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg 69120, Germany
| | - T Yang
- State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China
| | - W Z Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - C Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China Key Laboratory of Pathogen Infection Prevention and Control, Ministry of Education, Peking Union Medical College, Beijing 100730, China Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Zhang X, Xu L, Yang T. miR-31 Modulates Liver Cancer HepG2 Cell Apoptosis and Invasion via ROCK1/F-Actin Pathways [Retraction]. Onco Targets Ther 2024; 17:305-306. [PMID: 38617089 PMCID: PMC11009459 DOI: 10.2147/ott.s472230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 04/16/2024] Open
Abstract
[This retracts the article DOI: 10.2147/OTT.S227467.].
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Xu Y, Dong Z, Huang L, Du H, Yang T, Luo C, Tao X, Wang J, Wu Z, Wu L, Lin R, Yu H. Multi-step validation of a Post-Endoscopic Retrograde Cholangiopancreatography Pancreatitis prediction system integrating multi-modal data: A multi-center study. Gastrointest Endosc 2024:S0016-5107(24)00217-7. [PMID: 38583541 DOI: 10.1016/j.gie.2024.03.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/16/2024] [Accepted: 03/23/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND AND STUDY AIMS The impact of various categories of information on the prediction of Post Endoscopic Retrograde Cholangiopancreatography Pancreatitis (PEP) remains uncertain. We aimed to comprehensively investigate the risk factors associated with PEP by constructing and validating a model incorporating multi-modal data through multiple steps. PATIENTS AND METHODS A total of 1,916 cases underwent ERCP were retrospectively collected from multiple centers for model construction. Through literature research, 49 electronic health record (EHR) features and one image feature related to PEP were identified. The EHR features were categorized into baseline, diagnosis, technique, and prevent strategies, covering pre-ERCP, intra-ERCP, and peri-ERCP phases. We first incrementally constructed models 1-4 incorporating these four feature categories, then added the image feature into models 1-4 and developed models 5-8. All models underwent testing and comparison using both internal and external test sets. Once the optimal model was selected, we conducted comparison among multiple machine learning algorithms. RESULTS Compared with model 2 incorporating baseline and diagnosis features, adding technique and prevent strategies (model 4) greatly improved the sensitivity (63.89% vs 83.33%, p<0.05) and specificity (75.00% vs 85.92%, p<0.001). Similar tendency was observed in internal and external tests. In model 4, the top three features ranked by weight were previous pancreatitis, NSAIDS, and difficult cannulation. The image-based feature has the highest weight in model 5-8. Lastly, model 8 employed Random Forest algorithm showed the best performance. CONCLUSIONS We firstly developed a multi-modal prediction model for identifying PEP with clinical-acceptable performance. The image and technique features are crucial for PEP prediction.
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Affiliation(s)
- Youming Xu
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zehua Dong
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Li Huang
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hongliu Du
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ting Yang
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Chaijie Luo
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xiao Tao
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Junxiao Wang
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhifeng Wu
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lianlian Wu
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China
| | - Rong Lin
- Department of Gastroenterology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| | - Honggang Yu
- Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China.
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Li X, Hu N, Li Y, Tang H, Huang X, Yang T, Xu J. Integrated ultrastructural, physiological, transcriptomic, and metabolomic analysis uncovers the mechanisms by which nicotinamide alleviates cadmium toxicity in Pistia stratiotes L. J Hazard Mater 2024; 467:133702. [PMID: 38330649 DOI: 10.1016/j.jhazmat.2024.133702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/22/2024] [Accepted: 01/31/2024] [Indexed: 02/10/2024]
Abstract
Exogenous nicotinamide (NIC) is a promising solution to relieve heavy metal (HM) toxicity in plants. Nonetheless, the underlying mechanisms involved remain poorly understood. As NIC addition (200 μM) can increase the tolerance of Pistia stratiotes L. to Cd stress (10 mg L-1), this strategy was subjected to integrated ultrastructural, physiological, transcriptomic, and metabolomic analysis to reveal the mechanisms involved. Exogenous NIC initiated a series of physiological, transcriptional, and metabolic responses that alleviated Cd damage. NIC addition improved Cd transfer from roots to leaves and reduced Cd damage in roots. The transported Cd to leaves did not induce further toxicity because it was abundantly compartmentalised in cell walls, which might be mediated by lignin synthesis. Moreover, NIC addition improved the repair of photosystem II in leaves under Cd stress by inducing key genes (e.g., chlorophyll A-B binding protein and PSII repair protein encoding genes), resulting in the restoration of Fv/Fm. In addition, antioxidant enzyme activities (e.g., peroxidase and catalase) and synthesis of antioxidants (e.g., stachydrine and curculigoside) were triggered to overcome oxidative stress. Our work paves the way for a deeper understanding of the mechanisms by which NIC alleviates HM toxicity in plants, providing a basis for improving phytoremediation.
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Affiliation(s)
- Xiong Li
- Yunnan Key Laboratory for Wild Plant Resources, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; Honghe Center for Mountain Futures, Kunming Institute of Botany, Chinese Academy of Sciences, Honghe 654400, China
| | - Na Hu
- Yunnan Key Laboratory for Wild Plant Resources, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; Honghe Center for Mountain Futures, Kunming Institute of Botany, Chinese Academy of Sciences, Honghe 654400, China
| | - Yanshuang Li
- Yunnan Key Laboratory for Wild Plant Resources, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; Honghe Center for Mountain Futures, Kunming Institute of Botany, Chinese Academy of Sciences, Honghe 654400, China; School of Ecology and Environment, Yunnan University, Kunming 650500, China
| | - Haisheng Tang
- Yunnan Key Laboratory for Wild Plant Resources, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; Honghe Center for Mountain Futures, Kunming Institute of Botany, Chinese Academy of Sciences, Honghe 654400, China; School of Forestry, Southwest Forestry University, Kunming 650224, China
| | - Xumei Huang
- Yunnan Key Laboratory for Wild Plant Resources, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; Honghe Center for Mountain Futures, Kunming Institute of Botany, Chinese Academy of Sciences, Honghe 654400, China; School of Forestry, Southwest Forestry University, Kunming 650224, China
| | - Ting Yang
- Service Center for Experimental Biotechnology, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China
| | - Jianchu Xu
- Yunnan Key Laboratory for Wild Plant Resources, Department of Economic Plants and Biotechnology, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; Honghe Center for Mountain Futures, Kunming Institute of Botany, Chinese Academy of Sciences, Honghe 654400, China.
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Wang L, Dai Q, Hu L, Yang T, Chen X, Wang X. Influence of cardioplegic solution on incidence of acute kidney injury after coronary artery bypass surgery procedure: del Nido cardioplegia versus Histidine-Tryptophan-Ketoglutarate solution: Insight of kidney disease improving global outcomes criteria. Perfusion 2024:2676591241244983. [PMID: 38565217 DOI: 10.1177/02676591241244983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
INTRODUCTION We set out to investigate whether the use of Histidine-Tryptophan-Ketoglutarate (HTK) solution or del Nido cardioplegia is linked to an increased incidence of postoperative acute kidney injury (AKI) in patients undergoing coronary artery bypass surgery (CABG). METHODS A retrospective study was carried out at our center, with a total of 478 patients included in the analysis. Among them, 268 patients were administered the del Nido solution (DN) while 210 patients received the HTK solution. The primary focus of this study was to assess the occurrence of postoperative AKI and the need for renal replacement therapy (RRT). Multivariable logistic regression was used to examine the relationship between the type of cardioplegia used and adverse kidney outcomes. Additionally, serum levels of sodium, potassium, and ionized calcium were monitored during cardiopulmonary bypass (CPB). RESULTS The incidence of AKI was significantly higher in the HTK group compared to the DN group [(48/220 (21.81%) vs. 24/186 (12.90%), p = .049], although the rate of RRT did not show a statistically significant difference (9/48, 18.75% vs. 6/24, 25%, p = .538). Multivariate logistic regression analysis revealed that HTK was a significant risk factor for AKI. Furthermore, serum sodium and calcium levels were found to decrease following HTK cardioplegic infusion. Conclusion: Our study provides compelling evidence of the impact of cardioplegic solutions on postoperative AKI rates. It underscores the importance of optimizing cardiac arrest protocols. These findings warrant further prospective investigations into the influence of cardioplegic solutions on electrolyte imbalances and postoperative AKI rates.
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Affiliation(s)
- Lei Wang
- Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - QiongYan Dai
- Department of Anesthesia, Jiangning Hospital Affiliated to Nanjing Medical College, Nanjing, China
| | - Lanxin Hu
- Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Ting Yang
- Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xin Chen
- Department of Thoracic and Cardiovascular Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - XiaoLiang Wang
- Department of Anesthesiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
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Lei J, Huang K, Wu S, Xu J, Xu Y, Zhao J, Zhang X, Bai C, Song Y, Kang J, Ran P, Zhou Y, Shen H, Wen F, Huang K, Chen Y, Yao W, Sun T, Lin Y, Zhu J, Shan G, Yang T, Wang C. Heterogeneities and impact profiles of early chronic obstructive pulmonary disease status: findings from the China Pulmonary Health Study. Lancet Reg Health West Pac 2024; 45:101021. [PMID: 38352242 PMCID: PMC10862401 DOI: 10.1016/j.lanwpc.2024.101021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 01/09/2024] [Accepted: 01/18/2024] [Indexed: 02/16/2024]
Abstract
Background The prevalence, epidemiological and clinical heterogeneities, and impact profiles of individuals with preserved ratio impaired spirometry (PRISm), pre-COPD, young COPD, and mild COPD in general Chinese population were not known yet. Methods Data were obtained from the China Pulmonary Health study (2012-2015), a nationally representative cross-sectional survey that recruited 50,991 adults aged 20 years or older. Definitions of the four early disease status were consistent with the latest publications and the Global Initiative for Chronic Obstructive Lung Disease criteria. Findings The age-standardised prevalences of PRISm, pre-COPD, young COPD, and mild COPD were 5.5% (95% confidence interval, 4.3-6.9), 7.2% (5.9-8.8), 1.1% (0.7-1.8), and 3.1% (2.5-3.8), respectively. In summary, mild COPD was under more direct or established impact factor exposures, such as older age, male gender, lower education level, lower family income, biomass use, air pollution, and more accumulative cigarette exposures; young COPD and pre-COPD experienced more personal and parents' events in earlier lives, such as history of bronchitis or pneumonia in childhood, frequent chronic cough in childhood, parental history of respiratory diseases, passive smoke exposure in childhood, and mother exposed to passive smoke while pregnant; pre-COPD coexisted with heavier symptoms and comorbidities burdens; young COPD exhibited worse airway obstruction; and most of the four early disease status harbored small airway dysfunction. Overall, older age, male gender, lower education level, living in the urban area, occupational exposure, frequent chronic cough in childhood, more accumulated cigarette exposure, comorbid with cardiovascular disease and gastroesophageal reflux disease were all associated with increased presence of the four early COPD status; different impact profiles were additionally observed with distinct entities. Over the four categories, less than 10% had ever taken pulmonary function test; less than 1% reported a previously diagnosed COPD; and no more than 13% had received pharmaceutical treatment. Interpretation Significant heterogeneities in prevalence, epidemiological and clinical features, and impact profiles were noted under varied defining criteria of early COPD; a unified and validated definition for an early disease stage is warranted. Closer attention, better management, and further research need to be administrated to these population. Funding Chinese Academy of Medical Sciences Institute of Respiratory Medicine Grant for Young Scholars (No. 2023-ZF-9); China International Medical Foundation (No. Z-2017-24-2301); Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences (No. 2021-I2M-1-049); National High Level Hospital Clinical Research Funding (No. 2022-NHLHCRF-LX-01); Major Program of National Natural Science Foundation of China (No. 82090011).
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Affiliation(s)
- Jieping Lei
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, PR China
| | - Ke Huang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, PR China
| | - Sinan Wu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, PR China
| | - Jianying Xu
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, Shanxi Province, PR China
| | - Yongjian Xu
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China
| | - Jianping Zhao
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China
| | - Xiangyan Zhang
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, PR China
| | - Chunxue Bai
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Yuanlin Song
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, PR China
| | - Jian Kang
- Department of Pulmonary and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning Province, PR China
| | - Pixin Ran
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, PR China
| | - Yumin Zhou
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, PR China
| | - Huahao Shen
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang Province, PR China
| | - Fuqiandg Wen
- State Key Laboratory of Biotherapy of China and Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan Province, PR China
| | - Kewu Huang
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing, PR China
- Department of Respiratory Medicine, Capital Medical University, Beijing, PR China
- Beijing Institute of Respiratory Medicine, Beijing, PR China
| | - Yahong Chen
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, PR China
| | - Wanzhen Yao
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, PR China
| | - Tieying Sun
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, Beijing, PR China
- National Center of Gerontology, Beijing, PR China
| | - Yingxiang Lin
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing, PR China
- Beijing Institute of Respiratory Medicine, Beijing, PR China
| | - Jianguo Zhu
- National Center of Gerontology, Beijing, PR China
| | - Guangliang Shan
- Department of Epidemiology and Biostatistics, School of Basic Medicine of Peking Union Medical College, Institute of Basic Medical Sciences of Chinese Academy of Medical Sciences, Beijing, PR China
| | - Ting Yang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, PR China
| | - Chen Wang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, PR China
- Department of Respiratory Medicine, Capital Medical University, Beijing, PR China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
| | - China Pulmonary Health (CPH) Study Investigators
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Clinical Research and Data Management, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, PR China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, PR China
- Department of Pulmonary and Critical Care Medicine, Shanxi Bethune Hospital Shanxi Academy of Medical Sciences, Taiyuan, Shanxi Province, PR China
- Department of Pulmonary and Critical Care Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, PR China
- Department of Pulmonary and Critical Care Medicine, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, PR China
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, PR China
- Department of Pulmonary and Critical Care Medicine, The First Hospital of China Medical University, Shenyang, Liaoning Province, PR China
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Diseases, Guangzhou Institute of Respiratory Diseases, The First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, PR China
- Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, Zhejiang Province, PR China
- State Key Laboratory of Biotherapy of China and Department of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan Province, PR China
- Beijing Key Laboratory of Respiratory and Pulmonary Circulation Disorders, Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Beijing, PR China
- Department of Respiratory Medicine, Capital Medical University, Beijing, PR China
- Beijing Institute of Respiratory Medicine, Beijing, PR China
- Department of Pulmonary and Critical Care Medicine, Peking University Third Hospital, Beijing, PR China
- Department of Respiratory and Critical Care Medicine, Beijing Hospital, Beijing, PR China
- National Center of Gerontology, Beijing, PR China
- Department of Epidemiology and Biostatistics, School of Basic Medicine of Peking Union Medical College, Institute of Basic Medical Sciences of Chinese Academy of Medical Sciences, Beijing, PR China
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China
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Wang YN, Dong SR, OuYang HL, Yang T, Wang Y. Tertiary treatment of municipal wastewater in an IBFR dominated by PD/A with unique niche. Chemosphere 2024; 353:141563. [PMID: 38430942 DOI: 10.1016/j.chemosphere.2024.141563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/19/2024] [Accepted: 02/24/2024] [Indexed: 03/05/2024]
Abstract
To explore the feasibility of biofilter reactor to treat municipal secondary effluent deeply without extra carbon source, this paper proposed an integrated biofilter reactor (IBFR) coupling partial denitrification (PD) with anammox (A) to treat the secondary effluent and raw sewage with the flow ratio of 3:1 together. The results show that the effluent concentration of TN and COD in IBFR could be reduced to 10 mg/L and 15 mg/L, respectively, under hydraulic retention time of 1.5 h and nitrogen loading rate of 0.55 kg/(m3·d). The highest specific anammox activity (19.2 mg N/(g TVS·d)) and the maximum extracellular polymeric substance (EPS) content (107.21 mg/g TVS) occurred at the 25-50 cm section of IBFR, where Thauera, Candidatus Anammoximicrobium and Candidatus Brocadia were the dominant denitrifiers and anammox bacteria. Furthermore, the cyclic self-stratification occurred along the reactor height, where the utilization, decomposition, transformation and cross-feeding of EPS enhanced the performance stability of nitrogen and carbon removal, strengthened the niche structure and promoted the synergistic symbiosis. In conclusion, IBFR coupling PD and A demonstrated the possibility to treat secondary effluent without additional carbon sources, which is expected as an alternative approach for tertiary treatment of municipal wastewater.
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Affiliation(s)
- Yue-Ning Wang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China; Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE. Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China
| | - Shi-Rong Dong
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China; Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE. Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China
| | - Hui-Long OuYang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China; Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE. Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China
| | - Ting Yang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China; Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE. Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China
| | - Yi Wang
- School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China; Key Laboratory of Northwest Water Resource, Environment and Ecology, MOE. Xi'an University of Architecture and Technology, No.13 Yanta Road, Xi'an 710055, China.
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Zeng J, Liu M, Yang T, Li S, Cheng D, He L. A single mitochondria-targetable fluorescent probe for visualizing cysteine and glutathione in ferroptosis of myocardial ischemia/reperfusion injury. Talanta 2024; 270:125610. [PMID: 38159348 DOI: 10.1016/j.talanta.2023.125610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/18/2023] [Accepted: 12/27/2023] [Indexed: 01/03/2024]
Abstract
Ferroptosis plays an important role in the early stage of myocardial ischemia/reperfusion (MI/R) injury, which is closely associated with the antioxidant damage of mitochondrial cysteine (Cys)/glutathione (GSH)/glutathione peroxidase 4 (GPX4) axis. Visualization of Cys and GSH in mitochondria is meaningful to value ferroptosis and further contributes to understanding and preventing MI/R injury. Herein a mitochondria-targetable thiols fluorescent probe (MTTP) was designed and synthesized based on sulfonyl benzoxadiazole (SBD) chromophore with a triphenylphosphine unit as the mitochondria-targeted functional group. Cys and GSH can be differentiated by MTTP with two distinguishable emission bands (583 nm and 520 nm) through the controllable aromatic substitution-rearrangement reaction. Importantly, MTTP is capable of monitoring ferroptosis and its inhibition by measuring mitochondrial Cys and GSH. MTTP was also employed to non-invasively detect ferroptosis during oxygen and glucose deprivation/reoxygenation (OGD/R)-induced MI/R injury in H9C2 cells. In a word, MTTP provides a visual tool that can simultaneously detect Cys and GSH to monitor ferroptosis processes during MI/R injury, which helps for more deeper understanding of the role of ferroptosis in MI/R injury-related diseases.
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Affiliation(s)
- Jiayu Zeng
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421002, China; School of Basic Medical Science, Hengyang Medical School, University of South China, Hengyang, 421001, China
| | - Minhui Liu
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421002, China
| | - Ting Yang
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421002, China
| | - Songjiao Li
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421002, China
| | - Dan Cheng
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421002, China; Clinical Research Institute, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, 421002, China.
| | - Longwei He
- Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421002, China; School of Basic Medical Science, Hengyang Medical School, University of South China, Hengyang, 421001, China.
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Ma D, Yang T, Feng X, Wang P, Huang J, Wang J, Li H. Quadruple Control Electrochromic Devices Utilizing Ce 4W 9O 33 Electrodes for Visible and Near-Infrared Transmission Intelligent Modulation. Adv Sci (Weinh) 2024; 11:e2307223. [PMID: 38311586 PMCID: PMC11005709 DOI: 10.1002/advs.202307223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 01/08/2024] [Indexed: 02/06/2024]
Abstract
Electrochromic smart windows are promising for building energy savings due to their dynamic regulation of the solar spectrum. Restricted by materials or traditional complementary device configuration, precisely and independently controlling of visible (VIS) and near-infrared (NIR) light is still on the drawing board. Herein, a novel Zn2+ electrochemically active Ce4W9O33 electrode is reported, which demonstrates three distinct states, including VIS and NIR transparent "bright and warm" state, VIS and NIR opaque "dark and cool" state, VIS transparent and NIR opaque "bright and cool" state. A dual-operation mode electrochromic platform is also presented by integrating Ce4W9O33/NiO complementary device and Zn anode-based electrochromic device (Ce4W9O33/Zn/NiO device). Such a platform enables an added VIS opaque and NIR transparent "dark and warm" state, thus realizing four color states through individually controlling Ce4W9O33 and NiO electrodes, respectively. These results present an effective approach for facilitating electrochromic windows more intelligent to weather/season conditions and personal preferences.
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Affiliation(s)
- Dongyun Ma
- School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai200093China
| | - Ting Yang
- School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai200093China
| | - Xingzhe Feng
- School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai200093China
| | - Pengfei Wang
- School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai200093China
| | - Jiahui Huang
- School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai200093China
| | - Jinmin Wang
- School of Materials and ChemistryUniversity of Shanghai for Science and TechnologyShanghai200093China
| | - Haizeng Li
- Optics and Thermal Radiation Research Center, Institute of Frontier & Interdisciplinary ScienceShandong UniversityQingdaoShandong266237China
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Wei Q, Xiao Y, Yang T, Chen J, Chen L, Wang K, Zhang J, Li L, Jia F, Wu L, Hao Y, Ke X, Yi M, Hong Q, Chen J, Fang S, Wang Y, Wang Q, Jin C, Xu X, Li T. Predicting autism spectrum disorder using maternal risk factors: A multi-center machine learning study. Psychiatry Res 2024; 334:115789. [PMID: 38452495 DOI: 10.1016/j.psychres.2024.115789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 02/02/2024] [Accepted: 02/11/2024] [Indexed: 03/09/2024]
Abstract
Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a complex environmental etiology involving maternal risk factors, which have been combined with machine learning to predict ASD. However, limited studies have considered the factors throughout preconception, perinatal, and postnatal periods, and even fewer have been conducted in multi-center. In this study, five predictive models were developed using 57 maternal risk factors from a cohort across ten cities (ASD:1232, typically developing[TD]: 1090). The extreme gradient boosting model performed best, achieving an accuracy of 66.2 % on the external cohort from three cities (ASD:266, TD:353). The most important risk factors were identified as unstable emotions and lack of multivitamin supplementation using Shapley values. ASD risk scores were calculated based on predicted probabilities from the optimal model and divided into low, medium, and high-risk groups. The logistic analysis indicated that the high-risk group had a significantly increased risk of ASD compared to the low-risk group. Our study demonstrated the potential of machine learning models in predicting the risk for ASD based on maternal factors. The developed model provided insights into the maternal emotion and nutrition factors associated with ASD and highlighted the potential clinical applicability of the developed model in identifying high-risk populations.
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Affiliation(s)
- Qiuhong Wei
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Yuanjie Xiao
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Ting Yang
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Jie Chen
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China
| | - Li Chen
- Department of Children's Healthcare, Children's Hospital of Chongqing Medical University, China
| | - Ke Wang
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China; Big Data Center for Children's Medical Care, Children's Hospital of Chongqing Medical University, No. 136. Zhongshan Er Rd, Yuzhong District, Chongqing 400014, China
| | - Jie Zhang
- Xi'an Children's Hospital, Xi'an, China
| | - Ling Li
- Department of Children Rehabilitation, Hainan Women and Children's Medical Center, Haikou, China
| | - Feiyong Jia
- Department of Developmental and Behavioral Pediatric, The First Hospital of Jilin University, Changchun, China
| | - Lijie Wu
- Department of Children's and Adolescent Health, Public Health College of Harbin Medical University, Harbin, China
| | - Yan Hao
- Department of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoyan Ke
- Child Mental Health Research Center of Nanjing Brain Hospital, Nanjing, China
| | - Mingji Yi
- Department of Child Health Care, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qi Hong
- Maternal and Child Health Hospital of Baoan, Shenzhen, China
| | - Jinjin Chen
- Department of Child Healthcare, Shanghai Children's Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Shuanfeng Fang
- Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Yichao Wang
- NHC Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, China
| | - Qi Wang
- Deyang Maternity & Child Healthcare Hospital, Deyang, China
| | - Chunhua Jin
- Department of Children Health Care, Capital Institute of Pediatrics, Beijing, China
| | - Ximing Xu
- Big Data Center for Children's Medical Care, Children's Hospital of Chongqing Medical University, No. 136. Zhongshan Er Rd, Yuzhong District, Chongqing 400014, China.
| | - Tingyu Li
- Children Nutrition Research Center, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Neurodevelopment and Cognitive Disorders, Chongqing, China.
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Ye Z, Yao S, Yang T, Li Q, Li Z, Song B. Abdominal Diffusion-Weighted MRI With Simultaneous Multi-Slice Acquisition: Agreement and Reproducibility of Apparent Diffusion Coefficients Measurements. J Magn Reson Imaging 2024; 59:1170-1178. [PMID: 37334872 DOI: 10.1002/jmri.28876] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 06/21/2023] Open
Abstract
BACKGROUND Simultaneous multi-slice diffusion-weighted imaging (SMS-DWI) can shorten acquisition time in abdominal imaging. PURPOSE To investigate the agreement and reproducibility of apparent diffusion coefficient (ADC) from abdominal SMS-DWI acquired with different vendors and different breathing schemes. STUDY TYPE Prospective. SUBJECTS Twenty volunteers and 10 patients. FIELD STRENGTH/SEQUENCE 3.0 T, SMS-DWI with a diffusion-weighted echo-planar imaging sequence. ASSESSMENT SMS-DWI was acquired using breath-hold and free-breathing techniques in scanners from two vendors, yielding four scans in each participant. Average ADC values were measured in the liver, pancreas, spleen, and both kidneys. Non-normalized ADC and ADCs normalized to the spleen were compared between vendors and breathing schemes. STATISTICAL TESTS Paired t-test or Wilcoxon signed rank test; intraclass correlation coefficient (ICC); Bland-Altman method; coefficient of variation (CV) analysis; significance level: P < 0.05. RESULTS Non-normalized ADCs from the four SMS-DWI scans did not differ significantly in the spleen (P = 0.262, 0.330, 0.166, 0.122), right kidney (P = 0.167, 0.538, 0.957, 0.086), and left kidney (P = 0.182, 0.281, 0.504, 0.405), but there were significant differences in the liver and pancreas. For normalized ADCs, there were no significant differences in the liver (P = 0.315, 0.915, 0.198, 0.799), spleen (P = 0.815, 0.689, 0.347, 0.423), pancreas (P = 0.165, 0.336, 0.304, 0.584), right kidney (P = 0.165, 0.336, 0.304, 0.584), and left kidney (P = 0.496, 0.304, 0.443, 0.371). Inter-reader agreements of non-normalized ADCs were good to excellent (ICCs ranged from 0.861 to 0.983), and agreement and reproducibility were good to excellent depending on anatomic location (CVs ranged from 3.55% to 13.98%). Overall CVs for abdominal ADCs from the four scans were 6.25%, 7.62%, 7.08, and 7.60%. DATA CONCLUSION The normalized ADCs from abdominal SMS-DWI may be comparable between different vendors and breathing schemes, showing good agreement and reproducibility. ADC changes above approximately 8% may potentially be considered as a reliable quantitative biomarker to assess disease or treatment-related changes. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Zheng Ye
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Shan Yao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Yang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Qing Li
- MR Collaborations, Siemens Healthineers, Shanghai, China
| | - Zhenlin Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Department of Radiology, Sanya People's Hospital, Sanya, China
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Le Y, Zhu H, Ye C, Lin J, Wang N, Yang T. CT radiomics analysis discriminates pulmonary lesions in patients with pulmonary MALT lymphoma and non-pulmonary MALT lymphoma. Methods 2024; 224:54-62. [PMID: 38369073 DOI: 10.1016/j.ymeth.2024.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 02/10/2024] [Accepted: 02/13/2024] [Indexed: 02/20/2024] Open
Abstract
PURPOSE The aim of this study is to create and validate a radiomics model based on CT scans, enabling the distinction between pulmonary mucosa-associated lymphoid tissue (MALT) lymphoma and other pulmonary lesion causes. METHODS Patients diagnosed with primary pulmonary MALT lymphoma and lung infections at Fuzhou Pulmonary Hospital were randomly assigned to either a training group or a validation group. Meanwhile, individuals diagnosed with primary pulmonary MALT lymphoma and lung infections at Fujian Provincial Cancer Hospital were chosen as the external test group. We employed ITK-SNAP software for delineating the Region of Interest (ROI) within the images. Subsequently, we extracted radiomics features and convolutional neural networks using PyRadiomics, a component of the Onekey AI software suite. Relevant radiomic features were selected to build an intelligent diagnostic prediction model utilizing CT images, and the model's efficacy was assessed in both the validation group and the external test group. RESULTS Leveraging radiomics, ten distinct features were carefully chosen for analysis. Subsequently, this study employed the machine learning techniques of Logistic Regression (LR), Support Vector Machine (SVM), and k-Nearest Neighbors (KNN) to construct models using these ten selected radiomics features within the training groups. Among these, SVM exhibited the highest performance, achieving an accuracy of 0.868, 0.870, and 0.90 on the training, validation, and external testing groups, respectively. For LR, the accuracy was 0.837, 0.863, and 0.90 on the training, validation, and external testing groups, respectively. For KNN, the accuracy was 0.884, 0.859, and 0.790 on the training, validation, and external testing groups, respectively. CONCLUSION We established a noninvasive radiomics model utilizing CT imaging to diagnose pulmonary MALT lymphoma associated with pulmonary lesions. This model presents a promising adjunct tool to enhance diagnostic specificity for pulmonary MALT lymphoma, particularly in populations where pulmonary lesion changes may be attributed to other causes.
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Affiliation(s)
- Yuyin Le
- Department of Hematology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China; Department of Oncology Medicine, Fuzhou Pulmonary Hospital of Fujian Province, The Teaching Hospital of Fujian Medical University, 2 Hubian Rd, 350001 Fuzhou, Fujian, China
| | - Haojie Zhu
- Department of Hematology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Chenjing Ye
- Fujian Medical University, Fuzhou, Fujian, China
| | - Jiexiang Lin
- The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian 350001, China
| | - Nila Wang
- Department of Oncology Medicine, Fuzhou Pulmonary Hospital of Fujian Province, The Teaching Hospital of Fujian Medical University, 2 Hubian Rd, 350001 Fuzhou, Fujian, China
| | - Ting Yang
- Department of Hematology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China; Institute of Precision Medicine, Fujian Medical University, Fuzhou 350005, China.
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