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Wang H, Liu J, Fang Y, Shen X, Liu H, Yu L, Zeng S, Cai S, Zhou J, Li Z. Design and analysis of self-priming extension DNA hairpin probe for miRNA detection based on a unified dynamic programming framework. Anal Chim Acta 2024; 1303:342530. [PMID: 38609269 DOI: 10.1016/j.aca.2024.342530] [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: 12/19/2023] [Revised: 02/03/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024]
Abstract
MicroRNAs (miRNAs) are potential biomarkers for cancer diagnosis and prognosis, methods for detecting miRNAs with high sensitivity, selectivity, and stability are urgently needed. Various nucleic acid probes that have traditionally been for this purpose suffer several drawbacks, including inefficient signal-to-noise ratios and intensities, high cost, and time-consuming method establishment. Computing tools used for investigating the thermodynamics of DNA hybridization reactions can accurately predict the secondary structure of DNA and the interactions between DNA molecules. Herein, NUPACK was used to design a series of nucleic acid probes and develop a phosphorothioated-terminal hairpin formation and self-priming extension (PS-THSP) signal amplification strategy, which enabled the ultrasensitive detection of miR-200a in serum samples. The free and binding energies of the DNA detection probes calculated using NUPACK, as well as the biological experimental results, were considered synthetically to select the best sequence and experimental conditions. A unified dynamic programming framework, NUPACK analysis and the experimental data, were complementary and improved the designed model in all respects. Our study demonstrates the feasibility of using computer technology such as NUPACK to simplify the experimental process and provide intuitive results.
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Affiliation(s)
- Hecheng Wang
- Institute of Drug Metabolism and Pharmaceutical Analysis, National Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Jiatong Liu
- Institute of Drug Metabolism and Pharmaceutical Analysis, National Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Yanyan Fang
- Institute of Drug Metabolism and Pharmaceutical Analysis, National Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Xudan Shen
- Institute of Drug Metabolism and Pharmaceutical Analysis, National Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Hui Liu
- Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, China
| | - Lushan Yu
- Institute of Drug Metabolism and Pharmaceutical Analysis, National Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Su Zeng
- Institute of Drug Metabolism and Pharmaceutical Analysis, National Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Sheng Cai
- Institute of Drug Metabolism and Pharmaceutical Analysis, National Key Laboratory of Advanced Drug Delivery and Release Systems, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
| | - Jingjing Zhou
- Beijing Lab for Cardiovascular Precision Medicine, Echocardiography Medical Center, Maternal-Fetal Medicine Center in Fetal Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, 100029, China.
| | - Zheyong Li
- Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, 310020, China; Zhejiang University Sir Run Run Shaw Alaer Hospital, Alaer, Xinjiang, 843300, China.
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Qin Y, Wang H, Zhou J, Li R, Jiang C, Wan Y, Wang X, Chen Z, Wang X, Liu Y, Guo B, Wang D. Binding FSI - to Construct a Self-Healing SEI Film for Li-Metal Batteries by In situ Crosslinking Vinyl Ionic Liquid. Angew Chem Int Ed Engl 2024; 63:e202402456. [PMID: 38415324 DOI: 10.1002/anie.202402456] [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: 02/02/2024] [Revised: 02/23/2024] [Accepted: 02/27/2024] [Indexed: 02/29/2024]
Abstract
The solid electrolyte interphase (SEI) membrane on the Li metal anode tends to breakdown and undergo reconstruction during operation, causing Li metal batteries to experience accelerated decay. Notably, an SEI membrane with self-healing characteristics can help considerably in stabilizing the Li-electrolyte interface; however, uniformly fixing the repairing agent onto the anode remains a challenging task. By leveraging the noteworthy film-forming attributes of bis(fluorosulfonyl)imide (FSI-) anions and the photopolymerization property of the vinyl group, the ionic liquid 1-vinyl-3-methylimidazolium bis(fluorosulfonyl)imide (VMI-FSI) was crosslinked with polyethylene oxide (PEO) in this study to form a self-healing film fixing FSI- groups as the repairing agent. When they encounter lithium metal, the FSI- groups are chemically decomposed into LiF & Li3N, which assist forming SEI membrane on lithium sheet and repairing SEI membrane in the cracks lacerated by lithium dendrite. Furthermore, the FSI- anions exchanged from film are electrochemically decomposed to generate inorganic salts to strengthen the SEI membrane. Benefiting from the self-healing behavior of the film, Li/LiCoO2 cells with the loading of 16.3 mg cm-2 exhibit the initial discharge capacities of 183.0 mAh ⋅ g-1 and are stably operated for 500 cycles with the retention rates of 81.4 % and the average coulombic efficiency of 99.97 %, operated between 3.0-4.5 V vs. Li+/Li. This study presents a new design approach for self-healing Li metal anodes and durable lithium metal battery.
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Affiliation(s)
- Yinping Qin
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Optoelectronic Materials & Technology, Jianghan University, Wuhan, China
- Materials Genome Institute, Shanghai University, Shanghai, 99 Shangda Road, Baoshan District, Shanghai, China
| | - Hefeng Wang
- Materials Genome Institute, Shanghai University, Shanghai, 99 Shangda Road, Baoshan District, Shanghai, China
| | - Jingjing Zhou
- Materials Genome Institute, Shanghai University, Shanghai, 99 Shangda Road, Baoshan District, Shanghai, China
| | - Ruyi Li
- Materials Genome Institute, Shanghai University, Shanghai, 99 Shangda Road, Baoshan District, Shanghai, China
| | - Chun Jiang
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Optoelectronic Materials & Technology, Jianghan University, Wuhan, China
| | - Yi Wan
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Optoelectronic Materials & Technology, Jianghan University, Wuhan, China
| | - Xiaoyi Wang
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Optoelectronic Materials & Technology, Jianghan University, Wuhan, China
| | - Zhenlian Chen
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Optoelectronic Materials & Technology, Jianghan University, Wuhan, China
| | - Xiaolei Wang
- Department of Chemical & Materials Engineering, University of Alberta, Edmonton, Alberta, T6G 1H9, Canada
| | - Yang Liu
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Optoelectronic Materials & Technology, Jianghan University, Wuhan, China
- Materials Genome Institute, Shanghai University, Shanghai, 99 Shangda Road, Baoshan District, Shanghai, China
- Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Nankai University, Tianjin, 300071, China
- Department of Mechanical and Materials Engineering, Western University, London, Ontario, N6A 5B8, Canada
| | - Bingkun Guo
- Materials Genome Institute, Shanghai University, Shanghai, 99 Shangda Road, Baoshan District, Shanghai, China
| | - Deyu Wang
- Key Laboratory of Optoelectronic Chemical Materials and Devices, Ministry of Education, School of Optoelectronic Materials & Technology, Jianghan University, Wuhan, China
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Cao B, Li Q, Xu P, Zhang Y, Cai S, Rao S, Zeng M, Dai Y, Jiang S, Zhou J. Vesical Imaging-Reporting and Data System (VI-RADS) as a grouping imaging biomarker combined with a decision-tree mode to preoperatively predict the pathological grade of bladder cancer. Clin Radiol 2024; 79:e725-e735. [PMID: 38360514 DOI: 10.1016/j.crad.2024.01.031] [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: 09/15/2023] [Revised: 01/12/2024] [Accepted: 01/22/2024] [Indexed: 02/17/2024]
Abstract
AIM To investigate whether the Vesical Imaging-Reporting and Data System (VI-RADS) could be used to develop a new non-invasive preoperative grade-prediction system to partially predict high-grade bladder cancer (HG-BC). MATERIALS AND METHODS The present study enrolled 89 primary BC patients prospectively from March 2022 to June 2023. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of VI-RADS for predicting HG-BC and muscle-invasive bladder cancer (MIBC) in the entire group. In the low VI-RADS (≤2) group, the decision tree-based method was used to obtain significant predictors and construct the decision-tree model (DT model). The performance of the DT model and low VI-RADS scores for predicting HG-BC was determined using ROC, calibration, and decision curve analyses. RESULTS At a cut-off of ≥3, the specificity and positive predictive value of VI-RADS for predicting HG-BC in the entire group was 100%, and the area under the ROC curve (AUC) was 0.697. Among 65 patients with low VI-RADS scores, the DT model showed an AUC of 0.884 in predicting HG-BC compared to 0.506 for low VI-RADS scores. Calibration and decision curve analyses showed that the DT model performed better than the low VI-RADS scores. CONCLUSION Most VI-RADS scores ≥3 correspond to HG-BCs. VI-RADS could be used as a grouping imaging biomarker for a pathological grade-prediction procedure, which in combination with the DT model for low VI-RADS (≤2) populations, would provide a potential preoperative non-invasive method of predicting HG-BC.
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Affiliation(s)
- B Cao
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China
| | - Q Li
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China
| | - P Xu
- Department of Urology, Xuhui Hospital, Fudan University, Shanghai, China
| | - Y Zhang
- MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - S Cai
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China
| | - S Rao
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China
| | - M Zeng
- Department of Radiology, Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Radiology, Shanghai Geriatric Medical Center, Shanghai, China
| | - Y Dai
- MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China
| | - S Jiang
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China; Department of Urology, Zhongshan Hospital Wusong Branch, Fudan University, Shanghai, China.
| | - J Zhou
- Department of Radiology, Fudan University Zhongshan Hospital Xiamen Branch, Xiamen, China; Xiamen Municipal Clinical Research Center for Medical Imaging, Xiamen, China; Xiamen Key Clinical Specialty for Radiology, Xiamen, China.
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Liu Y, Zhou L, Liu S, Li S, Zhou J, Li X, Chen X, Sun K, Li B, Jiang J, Pang H. Fe, N-Inducing Interfacial Electron Redistribution in NiCo Spinel on Biomass-Derived Carbon for Bi-functional Oxygen Conversion. Angew Chem Int Ed Engl 2024; 63:e202319983. [PMID: 38404154 DOI: 10.1002/anie.202319983] [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: 12/24/2023] [Revised: 01/22/2024] [Accepted: 02/24/2024] [Indexed: 02/27/2024]
Abstract
Herein, an interfacial electron redistribution is proposed to boost the activity of carbon-supported spinel NiCo2O4 catalyst toward oxygen conversion via Fe, N-doping strategy. Fe-doping into octahedron induces a redistribution of electrons between Co and Ni atoms on NiCo1.8Fe0.2O4@N-carbon. The increased electron density of Co promotes the coordination of water to Co sites and further dissociation. The generation of proton from water improves the overall activity for the oxygen reduction reaction (ORR). The increased electron density of Ni facilitates the generation of oxygen vacancies. The Ni-VO-Fe structure accelerates the deprotonation of *OOH to improve the activity toward oxygen evolution reaction (OER). N-doping modulates the electron density of carbon to form active sites for the adsorption and protonation of oxygen species. Fir wood-derived carbon endows catalyst with an integral structure to enable outstanding electrocatalytic performance. The NiCo1.8Fe0.2O4@N-carbon express high half-wave potential up to 0.86 V in ORR and low overpotential of 270 mV at 10 mA cm-2 in OER. The zinc-air batteries (ZABs) assembled with the as-prepared catalyst achieve long-term cycle stability (over 2000 cycles) with peak power density (180 mWcm-2). Fe, N-doping strategy drives the catalysis of biomass-derived carbon-based catalysts to the highest level for the oxygen conversion in ZABs.
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Affiliation(s)
- Yanyan Liu
- College of Science, Henan Agricultural University, Zhengzhou, 450002, P. R. China
- College of Chemistry, Zhengzhou University, Zhengzhou, 450001, P. R. China
- Institute of Chemistry Industry of Forest Productsversity CAF, National Engineering Lab for Biomass Chemical Utilization, Nanjing, 210042, P. R. China
| | - Limin Zhou
- Institute of Chemistry Industry of Forest Productsversity CAF, National Engineering Lab for Biomass Chemical Utilization, Nanjing, 210042, P. R. China
| | - Shuling Liu
- College of Chemistry, Zhengzhou University, Zhengzhou, 450001, P. R. China
| | - Shuqi Li
- College of Science, Henan Agricultural University, Zhengzhou, 450002, P. R. China
| | - Jingjing Zhou
- College of Science, Henan Agricultural University, Zhengzhou, 450002, P. R. China
- College of Chemistry, Zhengzhou University, Zhengzhou, 450001, P. R. China
| | - Xin Li
- College of Science, Henan Agricultural University, Zhengzhou, 450002, P. R. China
| | - Xiangmeng Chen
- College of Science, Henan Agricultural University, Zhengzhou, 450002, P. R. China
| | - Kang Sun
- Institute of Chemistry Industry of Forest Productsversity CAF, National Engineering Lab for Biomass Chemical Utilization, Nanjing, 210042, P. R. China
| | - Baojun Li
- College of Chemistry, Zhengzhou University, Zhengzhou, 450001, P. R. China
- Institute of Chemistry Industry of Forest Productsversity CAF, National Engineering Lab for Biomass Chemical Utilization, Nanjing, 210042, P. R. China
| | - Jianchun Jiang
- College of Science, Henan Agricultural University, Zhengzhou, 450002, P. R. China
- Institute of Chemistry Industry of Forest Productsversity CAF, National Engineering Lab for Biomass Chemical Utilization, Nanjing, 210042, P. R. China
| | - Huan Pang
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou, 225009, P. R. China
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Zhou K, Tang M, Zhang W, Chen Y, Guan Y, Huang R, Duan J, Liu Z, Ji X, Jiang Y, Hu Y, Zhang X, Zhou J, Chen M. Exposure to Molybdate Results in Metabolic Disorder: An Integrated Study of the Urine Elementome and Serum Metabolome in Mice. Toxics 2024; 12:288. [PMID: 38668511 PMCID: PMC11053804 DOI: 10.3390/toxics12040288] [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: 12/29/2023] [Revised: 04/04/2024] [Accepted: 04/12/2024] [Indexed: 04/29/2024]
Abstract
The increasing use of molybdate has raised concerns about its potential toxicity in humans. However, the potential toxicity of molybdate under the current level of human exposure remains largely unknown. Endogenous metabolic alterations that are caused in humans by environmental exposure to pollutants are associated with the occurrence and progression of many diseases. This study exposed eight-week-old male C57 mice to sodium molybdate at doses relevant to humans (0.01 and 1 mg/kg/day) for eight weeks. Inductively coupled plasma mass spectrometry (ICP-MS) and ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS) were utilized to assess changes in urine element levels and serum metabolites in mice, respectively. A total of 838 subjects from the NHANES 2017-2018 population database were also included in our study to verify the associations between molybdenum and cadmium found in mice. Analysis of the metabolome in mice revealed that four metabolites in blood serum exhibited significant changes, including 5-aminolevulinic acid, glycolic acid, l-acetylcarnitine, and 2,3-dihydroxypropyl octanoate. Analysis of the elementome revealed a significant increase in urine levels of cadmium after molybdate exposure in mice. Notably, molybdenum also showed a positive correlation with cadmium in humans from the NHANES database. Further analysis identified a positive correlation between cadmium and 2,3-dihydroxypropyl octanoate in mice. In conclusion, these findings suggest that molybdate exposure disrupted amino acid and lipid metabolism, which may be partially mediated by molybdate-altered cadmium levels. The integration of elementome and metabolome data provides sensitive information on molybdate-induced metabolic disorders and associated toxicities at levels relevant to human exposure.
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Affiliation(s)
- Kun Zhou
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Miaomiao Tang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Wei Zhang
- Sir Run Run Hospital of Nanjing Medical University, Nanjing 211166, China; (W.Z.); (Y.H.)
| | - Yanling Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yusheng Guan
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Rui Huang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Jiawei Duan
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Zibo Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Xiaoming Ji
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yingtong Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yanhui Hu
- Sir Run Run Hospital of Nanjing Medical University, Nanjing 211166, China; (W.Z.); (Y.H.)
| | - Xiaoling Zhang
- Department of Hygienic Analysis and Detection, Nanjing Medical University, Nanjing 211166, China;
| | - Jingjing Zhou
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Minjian Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; (K.Z.); (M.T.); (Y.C.); (Y.G.); (R.H.); (J.D.); (Z.L.); (X.J.); (Y.J.); (J.Z.)
- Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
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Ye B, Lu G, Zhou J, Li Y, Ma Y, Zhang Y, Chen J. Sulfated glyco-based hydrogels as self-healing, adhesive, and anti-inflammatory dressings for wound healing. Colloids Surf B Biointerfaces 2024; 238:113915. [PMID: 38631281 DOI: 10.1016/j.colsurfb.2024.113915] [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: 02/15/2024] [Revised: 04/10/2024] [Accepted: 04/11/2024] [Indexed: 04/19/2024]
Abstract
Hydrogels have emerged as a new type of wound dressing materials that involved in different stages of the healing processes. However, most of the existing wound dressings mainly offer a protective and moisturizing layer to prevent cross-infection, while the anti-inflammatory and anti-oxidative properties are frequently induced by extra addition of other bioactive molecules. Here, a novel type of sulfated glyco-functionalized hydrogels for wound dressing was prepared through the hybrid supramolecular co-assembly of carbohydrate segments (FG, FGS and FG3S), fluorenylmethoxycarbonyl-diphenylalanine (Fmoc-FF), and diphenylalanine-dopamine (FFD). Implanting sulfated carbohydrates can mimic the structure of glycosaminoglycans (GAGs), promoting cell proliferation and migration, along with anti-inflammatory effects. In situ polymerization of FFD introduced a secondary covalent network to the hydrogel, meanwhile, providing anti-oxidation and adhesion properties to wound surfaces. Furthermore, the dynamic supramolecular interactions within the hydrogels also confer self-healing capabilities to the wound dressing materials. In vivo experiments further demonstrated significantly accelerated healing rates with the multifunctional hydrogel FG3S-FFD, indicating high application potential.
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Affiliation(s)
- Baotong Ye
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, PR China; School of Chemical & Material Engineering, Jiangnan Universtiy, Wuxi 214122, PR China
| | - Guodong Lu
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, PR China
| | - Jingjing Zhou
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, PR China
| | - Yi Li
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, PR China
| | - Yongxin Ma
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, PR China
| | - Yan Zhang
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, PR China.
| | - Jinghua Chen
- Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, School of Life Sciences and Health Engineering, Jiangnan University, Wuxi 214122, PR China.
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Zhou J, Li L, Wu B, Feng Z, Lu Y, Wang Z. MST1/2: Important regulators of Hippo pathway in immune system associated diseases. Cancer Lett 2024; 587:216736. [PMID: 38369002 DOI: 10.1016/j.canlet.2024.216736] [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: 11/17/2023] [Revised: 01/24/2024] [Accepted: 02/16/2024] [Indexed: 02/20/2024]
Abstract
The Hippo signaling pathway is first found in Drosophila and is highly conserved in evolution. Previous studies on this pathway in mammals have revealed its key role in cell proliferation and differentiation, organ size control, and carcinogenesis. Apart from these, recent findings indicate that mammalian Ste20-like kinases 1 and 2 (MST1/2) have significant effects on immune regulation. In this review, we summarize the updated understanding of how MST1/2 affect the regulation of the immune system and the specific mechanism. The effect of MST1/2 on immune cells and its role in the tumor immune microenvironment can alter the body's response to tumor cells. The relationship between MST1/2 and the immune system suggests new directions in the manipulation of immune responses for clinical immunotherapy, especially for tumor treatment.
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Affiliation(s)
- Jingjing Zhou
- Department of Gastroenterology, Shanghai Xuhui Central Hospital and Department of Anatomy and Histoembrvology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Lanfang Li
- Department of Gastroenterology, Shanghai Xuhui Central Hospital and Department of Anatomy and Histoembrvology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Baojin Wu
- Department of Plastic Surgery, Huashan Hospital, Fudan University, No.12 Wulumuqi Zhong Road, Jing'an District, Shanghai, 200040, China
| | - Zhen Feng
- Department of Gastroenterology, Shanghai Xuhui Central Hospital and Department of Anatomy and Histoembrvology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China
| | - Ying Lu
- Key Laboratory of Metabolism and Molecular Medicine of the Ministry of Education, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China.
| | - Zuoyun Wang
- Department of Gastroenterology, Shanghai Xuhui Central Hospital and Department of Anatomy and Histoembrvology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
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8
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Zou H, Wu W, Zhou J, Deng C. SILAR Growth of ZnO NSs/CdS QDs on the Optical Fiber-Based Opto-Electrode with Guided In Situ Light and Its Application for the "Signal-On" Detection of Inflammatory Cytokine. Anal Chem 2024; 96:5446-5454. [PMID: 38556805 DOI: 10.1021/acs.analchem.3c05439] [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] [Indexed: 04/02/2024]
Abstract
In this study, a novel integrated photoelectrochemical (PEC) sensor platform was proposed, utilizing an optical fiber (OF) as the working electrode for guided in situ light. A CdS quantum dots (QDs)/ZnO nanosheets (NSs) n-n heterojunction was quickly and easily constructed on the OF surface by successive ionic layer adsorption and reaction (SILAR). Au nanoparticles (NPs)@dsDNA as a capturing probe were modified on the CdS QDs/ZnO NSs@OF (CZ@OF). Due to the energy transfer between Au NPs@dsDNA and CdS QDs, the resultant opto-electrode has a lower background near zero, enabling the "signal-on" detection of biomarkers (interleukin-6 (IL-6) as a model). The OF-PEC biosensor demonstrated a wide linear range from 1 to 100 pg mL-1 with a regression coefficient (R2) of 0.9958 and an impressive detection limit (LOD) of 0.19 pg mL-1. More significantly, the proposed OF-PEC can be successfully used for the detection of IL-6 in serum samples from patients with pulmonary arterial hypertension, and it showed consistency and is more sensitive to trace concentrations compared to BD FACSCanto II flow cytometry used at the hospital. This holds significance for an early disease diagnosis. Therefore, the proposed OF-PEC not only achieves integration of the light source and sensing interface but also enables sensitive and accurate "signal-on" detection of IL-6. Furthermore, due to the flexibility and remote detection capabilities of OF, the application of OF-PEC is expected to be expanded more widely. This approach opens up possibilities for advances in PEC sensing.
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Affiliation(s)
- Huiyu Zou
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
| | - Wuming Wu
- School of Electronics and Communication Engineering, Sun Yat-Sen University, Shenzhen, Guangdong 518107, China
| | - Jingjing Zhou
- Beijing Key Laboratory of Maternal-Fetal Medicine and Fetal Heart Disease & Echocardiography Department, Beijing Anzhen Hospital, Capital Medical University, Beijing 100069, China
| | - Chunyan Deng
- Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
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9
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Jiang N, Tan P, Sun Y, Zhou J, Ren R, Li Z, Zhu S. Microstructural, Micromechanical Atlas of the Temporomandibular Joint Disc. J Dent Res 2024:220345241227822. [PMID: 38594786 DOI: 10.1177/00220345241227822] [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] [Indexed: 04/11/2024] Open
Abstract
The temporomandibular joint (TMJ) disc is mainly composed of collagen, with its arrangement responding to efficient stress distribution. However, microstructural and micromechanical transformations of the TMJ disc under resting, functional, and pathological conditions remain unclear. To address this, our study presents a high-resolution microstructural and mechanical atlas of the porcine TMJ disc. First, the naive microstructure and mechanical properties were investigated in porcine TMJ discs (resting and functional conditions). Subsequently, the perforation and tear models (pathological conditions) were compared. Following this, a rabbit model of anterior disc displacement (abnormal stress) was studied. Results show diverse microstructures and mechanical properties at the nanometer to micrometer scale. In the functional state, gradual unfolding of the crimping cycle in secondary and tertiary structures leads to D-cycle prolongation in the primary structure, causing tissue failure. Pathological conditions lead to stress concentration near the injury site due to collagen interfibrillar traffic patterns, resulting in earlier damage manifestation. Additionally, the abnormal stress model shows collagen damage initiating at the primary structure and extending to the superstructure over time. These findings highlight collagen's various roles in different pathophysiological states. Our study offers valuable insights into TMJ disc function and dysfunction, aiding the development of diagnostic and therapeutic strategies for TMJ disorders, as well as providing guidance for the design of structural biomimetic materials.
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Affiliation(s)
- N Jiang
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - P Tan
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Y Sun
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - J Zhou
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - R Ren
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Z Li
- Ao Research Institute Davos, Davos, Graubünden, Switzerland
| | - S Zhu
- State Key Laboratory of Oral Diseases, & National Clinical Research Center for Oral Disease, & West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, China
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10
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Li L, Yin S, Zhou J, Zhang L, Teng Z, Qiao L, Wang Y, Yu J, Zang H, Ding Y, Liu X, Sun S, Guo H. Spike 1 trimer, a nanoparticle vaccine against porcine epidemic diarrhea virus induces protective immunity challenge in piglets. Front Microbiol 2024; 15:1386136. [PMID: 38650887 PMCID: PMC11033347 DOI: 10.3389/fmicb.2024.1386136] [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: 02/14/2024] [Accepted: 03/27/2024] [Indexed: 04/25/2024] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) is considered the cause for porcine epidemic diarrhea (PED) outbreaks and hefty losses in pig farming. However, no effective commercial vaccines against PEDV mutant strains are available nowadays. Here, we constructed three native-like trimeric candidate nanovaccines, i.e., spike 1 trimer (S1-Trimer), collagenase equivalent domain trimer (COE-Trimer), and receptor-binding domain trimer (RBD-Trimer) for PEDV based on Trimer-Tag technology. And evaluated its physical properties and immune efficacy. The result showed that the candidate nanovaccines were safe for mice and pregnant sows, and no animal death or miscarriage occurred in our study. S1-Trimer showed stable physical properties, high cell uptake rate and receptor affinity. In the mouse, sow and piglet models, immunization of S1-Trimer induced high-level of humoral immunity containing PEDV-specific IgG and IgA. S1-Trimer-driven mucosal IgA responses and systemic IgG responses exhibited high titers of virus neutralizing antibodies (NAbs) in vitro. S1-Trimer induced Th1-biased cellular immune responses in mice. Moreover, the piglets from the S1-Trimer and inactivated vaccine groups displayed significantly fewer microscopic lesions in the intestinal tissue, with only one and two piglets showing mild diarrhea. The viral load in feces and intestines from the S1-Trimer and inactivated vaccine groups were significantly lower than those of the PBS group. For the first time, our data demonstrated the protective efficacy of Trimer-Tag-based nanovaccines used for PEDV. The S1-Trimer developed in this study was a competitive vaccine candidate, and Trimer-Tag may be an important platform for the rapid production of safe and effective subunit vaccines in the future.
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Affiliation(s)
- Linjie Li
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Shuanghui Yin
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Jingjing Zhou
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Liping Zhang
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Zhidong Teng
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Lu Qiao
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Yunhang Wang
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Jiaxi Yu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Haoyue Zang
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Yaozhong Ding
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Xinsheng Liu
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Shiqi Sun
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
| | - Huichen Guo
- State Key Laboratory for Animal Disease Control and Prevention, College of Veterinary Medicine, Lanzhou University, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
- Gansu Province Research Center for Basic Disciplines of Pathogen Biology, Lanzhou, China
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Xu J, Wang Q, Yang K, Wen L, Wang T, Lin D, Liu J, Zhou J, Liu Y, Dong Y, Cao C, Li S, Zhou X. [High-quality acceleration of the Chinese national schistosomiasis elimination programme to advance the building of Healthy China]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2024; 36:1-6. [PMID: 38604678 DOI: 10.16250/j.32.1374.2024051] [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] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
The goal of achieving elimination of schistosomiasis across all endemic counties in China by 2030 was proposed in the Outline of the Healthy China 2030 Plan. On June 16, 2023, the Action Plan to Accelerate the Elimination of Schistosomiasis in China (2023-2030) was jointly issued by National Disease Control and Prevention Administration and other 10 ministries, which deployed the targets and key tasks of the national schistosomiasis elimination programme in China. This article describes the progress of the national schistosomiasis control programme, analyzes the opportunities to eliminate schistosomiasis, and proposes targeted recommendations to tackle the challenges of schistosomiasis elimination, so as to accelerate the process towards schistosomiasis elimination and facilitate the building of a healthy China.
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Affiliation(s)
- J Xu
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research and Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Q Wang
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
| | - K Yang
- Jiangsu Institute of Parasitic Diseases, China
| | - L Wen
- Zhejiang Center for Schistosomiasis Control, China
| | - T Wang
- Anhui Institute for Schistosomiasis Control, China
| | - D Lin
- Jiangxi Institute of Parasitic Disease, China
| | - J Liu
- Hubei Center for Disease Control and Prevention, China
| | - J Zhou
- Hunan Provincial Bureau of Disease Control and Prevention, China
| | - Y Liu
- Sichuan Center for Disease Control and Prevention, China
| | - Y Dong
- Yunnan Institute for Endemic Disease Control, China
| | - C Cao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
| | - S Li
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research and Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - X Zhou
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Health Commission Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
- School of Global Health, Chinese Center for Tropical Diseases Research and Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
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12
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Liu S, Wang A, Liu Y, Zhou W, Wen H, Zhang H, Sun K, Li S, Zhou J, Wang Y, Jiang J, Li B. Catalytically Active Carbon for Oxygen Reduction Reaction in Energy Conversion: Recent Advances and Future Perspectives. Adv Sci (Weinh) 2024:e2308040. [PMID: 38581142 DOI: 10.1002/advs.202308040] [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: 12/19/2023] [Revised: 02/25/2024] [Indexed: 04/08/2024]
Abstract
The shortage and unevenness of fossil energy sources are affecting the development and progress of human civilization. The technology of efficiently converting material resources into energy for utilization and storage is attracting the attention of researchers. Environmentally friendly biomass materials are a treasure to drive the development of new-generation energy sources. Electrochemical theory is used to efficiently convert the chemical energy of chemical substances into electrical energy. In recent years, significant progress has been made in the development of green and economical electrocatalysts for oxygen reduction reaction (ORR). Although many reviews have been reported around the application of biomass-derived catalytically active carbon (CAC) catalysts in ORR, these reviews have only selected a single/partial topic (including synthesis and preparation of catalysts from different sources, structural optimization, or performance enhancement methods based on CAC catalysts, and application of biomass-derived CACs) for discussion. There is no review that systematically addresses the latest progress in the synthesis, performance enhancement, and applications related to biomass-derived CAC-based oxygen reduction electrocatalysts synchronously. This review fills the gap by providing a timely and comprehensive review and summary from the following sections: the exposition of the basic catalytic principles of ORR, the summary of the chemical composition and structural properties of various types of biomass, the analysis of traditional and the latest popular biomass-derived CAC synthesis methods and optimization strategies, and the summary of the practical applications of biomass-derived CAC-based oxidative reduction electrocatalysts. This review provides a comprehensive summary of the latest advances to provide research directions and design ideas for the development of catalyst synthesis/optimization and contributes to the industrialization of biomass-derived CAC electrocatalysis and electric energy storage.
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Affiliation(s)
- Shuling Liu
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
| | - Ao Wang
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
| | - Yanyan Liu
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
- College of Science, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, P. R. China
| | - Wenshu Zhou
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
| | - Hao Wen
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
| | - Huanhuan Zhang
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
| | - Kang Sun
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
| | - Shuqi Li
- College of Science, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, P. R. China
| | - Jingjing Zhou
- College of Science, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, P. R. China
| | - Yongfeng Wang
- Center for Carbon-based Electronics and Key Laboratory for the Physics and Chemistry of Nanodevices, School of Electronics, Peking University, Beijing, 100871, P. R. China
| | - Jianchun Jiang
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
| | - Baojun Li
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
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Yu Y, Chen X, Hou D, Zhou J, Zhang P, Shen J, Zhou J. Fluorinated Polydopamine Shell Decorated Fillers in Polytetrafluoroethylene Composite for Achieving Highly Reduced Coefficient of Thermal Expansion. Polymers (Basel) 2024; 16:987. [PMID: 38611245 PMCID: PMC11014320 DOI: 10.3390/polym16070987] [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: 03/19/2024] [Revised: 04/01/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
The noticeable difference in the coefficient of thermal expansion (CTE) for polytetrafluoroethylene (PTFE) coatings and copper substrates is a major challenge for thermal debonding of the copper-clad laminate (CCL) in high-frequency communications. Theoretically, ceramic fillers with low CTEs in the coating can effectively reduce the gap, and there remains a trade-off between the dispersibility of fillers and the interfacial interactions with the polymeric matrix. Here, we propose a novel approach to prepare a pentafluorobenzoyl chloride (PFBC)-modified polydopamine (PDA) shell on silica particles by using amidation. Such modified particles perform excellent dispersion and exhibit diminished interfacial gaps in the PTFE matrix, which highly reduces CTE to 77 ppm/°C, accounting for only 48.1% of the neat coating. Moreover, the composite exhibits enhanced mechanical strength and toughness, and consequently suppresses thermal debonding in CCL under high-temperature conditions. Therefore, results present a promising potential for its use in the next-generation CCL of high-frequency communication devices.
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Affiliation(s)
- Yuanying Yu
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China; (Y.Y.); (X.C.); (D.H.); (J.Z.); (J.S.)
| | - Xiao Chen
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China; (Y.Y.); (X.C.); (D.H.); (J.Z.); (J.S.)
- Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572024, China
| | - Dajun Hou
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China; (Y.Y.); (X.C.); (D.H.); (J.Z.); (J.S.)
| | - Jingjing Zhou
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China; (Y.Y.); (X.C.); (D.H.); (J.Z.); (J.S.)
| | - Pengchao Zhang
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China; (Y.Y.); (X.C.); (D.H.); (J.Z.); (J.S.)
- Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572024, China
- Hubei Longzhong Laboratory, Wuhan University of Technology Xiangyang Demonstration Zone, Xiangyang 441000, China
| | - Jie Shen
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China; (Y.Y.); (X.C.); (D.H.); (J.Z.); (J.S.)
| | - Jing Zhou
- State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China; (Y.Y.); (X.C.); (D.H.); (J.Z.); (J.S.)
- Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572024, China
- Hubei Longzhong Laboratory, Wuhan University of Technology Xiangyang Demonstration Zone, Xiangyang 441000, China
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14
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Wang Y, Zhou J, Chen X, Liu R, Zhang Z, Feng L, Feng Y, Wang G, Zhou Y. Effects of escitalopram therapy on effective connectivity among core brain networks in major depressive disorder. J Affect Disord 2024; 350:39-48. [PMID: 38220106 DOI: 10.1016/j.jad.2024.01.115] [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: 10/09/2023] [Revised: 01/06/2024] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Patients with major depressive disorder (MDD) have abnormal functional interaction among large-scale brain networks, indicated by aberrant effective connectivity of the default mode network (DMN), salience network (SN), and dorsal attention network (DAN). However, it remains unclear whether antidepressants can normalize the altered effective connectivity in MDD. METHODS In this study, we collected resting-state functional magnetic resonance imaging data from 46 unmedicated patients with MDD at baseline and after 12 weeks of escitalopram treatment. We also collected data from 58 healthy controls (HCs) at the same time point with the same interval. Using spectral dynamic causal modeling and parametric empirical Bayes, we examined group differences, time effect and their interaction on the casual interactions among the regions of interest in the three networks. RESULTS Compared with HCs, patients with MDD showed increased positive (excitatory) connections within the DMN, decreased positive connections within the SN and DAN, decreased absolute value of negative (inhibitory) connectivity from the SN and DAN to the DMN, and decreased positive connections between the DAN and the SN. Furthermore, we found that six connections related to the DAN showed decreased group differences in effective connectivity between MDD and HCs during follow-up compared to the baseline. CONCLUSIONS Our findings suggest that escitalopram therapy can partly improve the disrupted effective connectivity among high-order brain functional networks in MDD. These findings deepened our understanding of the neural basis of antidepressants' effect on brain function in patients with MDD.
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Affiliation(s)
- Yun Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Xiongying Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Rui Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Zhifang Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Lei Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Yuan Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.
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15
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Lin H, Wu L, Ou X, Zhou J, Feng J, Zhang W, Bi W, Hao Z, Sun Y. Study on the dynamic change of volatile components of white tea in the pile-up processing based on sensory evaluation and ATD-GC-MS Technology. Food Chem X 2024; 21:101139. [PMID: 38304047 PMCID: PMC10831598 DOI: 10.1016/j.fochx.2024.101139] [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: 11/05/2023] [Revised: 01/02/2024] [Accepted: 01/11/2024] [Indexed: 02/03/2024] Open
Abstract
The pile-up processing has a great impact on the flavor of white tea. To investigate the effects of the volatile accumulation of white tea with different piling thickness treatments, tea leaves from different thickness treatments were subjected to sensory quantitative description analysis and ATD-GC-MS detection in this study. As a result, 122 volatile components were identified from white tea with different treatments. A total of 8 key compounds, including isovaleraldehyde, isobutyraldehyde, 2-methyl-butanal, 1-octene-3-ol, linalool, pentanoic acid, hexanal and 1-hexanol were screened out using multivariate statistical analysis, which were characteristic components of grassy, floral-fruity, pekoe aroma and sweet flavors. The results of the selected key characteristic volatile compounds were consistent with the sensory quantitative description. The aroma of mid-pile dried tea (MD) was exhibited a harmonious and pleasant overall flavor. This study provides a novel insight into the accumulation of volatile during the withering step of white tea production.
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Affiliation(s)
- Hongzheng Lin
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Liangyu Wu
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Xiaoxi Ou
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Jingjing Zhou
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Jiao Feng
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Wenping Zhang
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Wanjun Bi
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Zhilong Hao
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
- Key Laboratory of Tea Science in Universities of Fujian Province, Fuzhou 350002, Fujian, China
| | - Yun Sun
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
- Key Laboratory of Tea Science in Universities of Fujian Province, Fuzhou 350002, Fujian, China
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Xu B, Kang B, Li S, Fan S, Zhou J. Sodium-glucose cotransporter 2 inhibitors and cancer: a systematic review and meta-analysis. J Endocrinol Invest 2024:10.1007/s40618-024-02351-0. [PMID: 38530620 DOI: 10.1007/s40618-024-02351-0] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Accepted: 02/24/2024] [Indexed: 03/28/2024]
Abstract
BACKGROUND The effect of sodium-glucose cotransporter 2 (SGLT2) inhibitors on cancer has yet to be fully elucidated. OBJECTIVE This systematic review and meta-analysis investigated the effects of SGLT2 inhibitors on cancer. METHODS We searched the PubMed and ClinicalTrials.gov databases up to July 15, 2023, to identify eligible randomized, double-blind, placebo-controlled trials that lasted at least ≥24 weeks. The primary outcome was the overall cancer incidence, and the secondary outcomes were the incidences of various types of cancer. We used the Mantel-Haenszel method, fixed effects model, risk ratio (RR) and 95% confidence interval (CI) to analyze dichotomous variables. Subgroup analysis was performed based on the SGLT2 inhibitor type, baseline conditions, and follow-up duration. All meta-analyses were performed using RevMan5.4.1 and Stata MP 16.0. RESULTS A total of 58 publications (59 trials) were included, comprising 113,909 participants with type 2 diabetes mellitus and/or chronic kidney disease and/or high cardiovascular risk and/or heart failure (SGLT2 inhibitor group, 63864; placebo group, 50045). Compared to the placebo SGLT2 inhibitors did not significantly increase the overall incidence of cancer (RR 1.01; 95% CI 0.94-1.08; p = 0.82). However, ertugliflozin did significantly increase the overall incidence of cancer (RR 1.29; 95% CI 1.01-1.64; p = 0.04). SGLT2 inhibitors did not increase the risks of bladder or breast cancer. However, dapagliflozin did significantly reduce the risk of bladder cancer by 47% (RR 0.53; 95% CI 0.35-0.81; p = 0.003). SGLT2 inhibitors had no significant effect on the risks of gastrointestinal, thyroid, skin, respiratory, prostate, uterine/endometrial, hepatic and pancreatic cancers. Dapagliflozin reduced the risk of respiratory cancer by 26% (RR 0.74; 95% CI 0.55-1.00; p = 0.05). SGLT2 inhibitors (particularly mediated by dapagliflozin and ertugliflozin but not statistically significant) were associated with a greater risk of renal cancer than the placebo (RR 1.39; 95% CI 1.04-1.87; p = 0.03). CONCLUSION SGLT2 inhibitors did not significantly increase the overall risk of cancer or the risks of bladder and breast cancers. However, the higher risk of renal cancer associated with SGLT2 inhibitors warrants concern.
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Affiliation(s)
- B Xu
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - B Kang
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - S Li
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The Affiliated Nanhua Hospital, Department of Docimasiology, Hengyang Medical School, University of South China, Hengyang, 421002, Hunan, China
| | - S Fan
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China
| | - J Zhou
- The First Affiliated Hospital, Hunan Provincial Clinical Medical Research Center for Drug Evaluation of Major Chronic Diseases, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- The First Affiliated Hospital, Hengyang Clinical Pharmacology Research Center, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- The First Affiliated Hospital, Hengyang Key Laboratory of Clinical Pharmacology, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- The First Affiliated Hospital, Pharmacy Department, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
- School of Pharmaceutical Science, Hengyang Medical School, University of South China, Hengyang, 421001, Hunan, China.
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Yang J, Deng L, Jing M, Xu M, Liu X, Li S, Zhang L, Xi H, Yuan L, Zhou J. Added value of spectral computed tomography quantitative parameters for differentiating tuberculosis-associated fibrosing mediastinitis from endobronchial lung cancer: initial results. Clin Radiol 2024:S0009-9260(24)00132-6. [PMID: 38658213 DOI: 10.1016/j.crad.2024.02.010] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/09/2024] [Accepted: 02/14/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVE The objective of this study was to explore the added value of spectral computed tomography (CT) parameters to conventional CT features for differentiating tuberculosis-associated fibrosing mediastinitis (TB-associated FM) from endobronchial lung cancer (EBLC). METHODS Chest spectral CT enhancement images from 109 patients with atelectasis were analyzed retrospectively. These patients were divided into two distinct categories: the TB-associated FM group (n = 77) and the EBLC group (n = 32), based on bronchoscopy and/or pathological findings. The selection of spectrum parameters was optimized with the least absolute shrinkage and selection operator regression analysis. The relationship between the spectrum parameters and conventional parameters was explored using Pearson's correlation. Multivariate logistic regression analysis was used to build spectrum model. The spectrum parameters in the spectrum model were replaced with their corresponding conventional parameters to build the conventional model. Diagnostic performances were evaluated using receiver operating characteristic curve analyses. RESULTS There was a moderate correlation between the parameters ㏒(L-AEFNIC) - ㏒(L-AEFC) (r= 0.419; p< 0.0001), ㏒(O-AEF40KeV) - ㏒(O-AEFC) (r= 0.475; p< 0.0001), [L-A-hydroxyapatite {HAP}(I)] - (L-U-CT) (r= 0.604; p< 0.0001), {arterial enhancement fraction (AEF) derived from normalized iodine concentration (NIC) of lymph node (L-AEFNIC), AEF derived from CT40KeV of bronchial obstruction (O-AEF40KeV), arterial-phase Hydroxyapatite (Iodine) concentration of lymph node [L-A-HAP(I)], AEF derived from conventional CT (AEFC), unenhanced CT value (U-CT)}. Spectrum model could improve diagnostic performances compared to conventional model (area under curve: 0.965 vs 0.916, p= 0.038). CONCLUSION There was a moderate correlation between spectrum parameters and conventional parameters. Integrating conventional CT features with spectrum parameters could further improve the ability in differentiating TB-associated FM from EBLC.
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Affiliation(s)
- J Yang
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - L Deng
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - M Jing
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - M Xu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - X Liu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - S Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - L Zhang
- Zhang Ye People's Hospital Affiliated to Hexi University, Zhangye, 73400, China.
| | - H Xi
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - L Yuan
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
| | - J Zhou
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No.82, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, China.
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Wang H, Zhou ZK, Sui BD, Jin F, Zhou J, Zheng CX. [Analysis of the differences in the characteristics of mesenchymal stem cells derived from jaw and long bones based on single-cell RNA-sequencing]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:247-254. [PMID: 38432656 DOI: 10.3760/cma.j.cn112144-20230824-00109] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Objective: To study the whole bone marrow cellular composition of jaw and long bones, and further analyze the heterogeneity of mesenchymal stem cells (MSCs) derived from these two tissue, aiming at exploring the differences in functional characteristics of bone MSCs from different lineage sources. Methods: The Seurat package of R language was used to analyze the mandibular and femur whole bone marrow single-cell RNA-sequencing (scRNA-seq) datasets in the literature, and the subpopulations were annotated by reference to the marker genes reported by previous studies. The differentially expressed genes between mandible-derived MSCs (M-MSCs) and femur-derived MSCs (F-MSCs) were calculated, and cell-cell communication analysis between M-MSCs or F-MSCs with other cell populations was performed. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on up-regulated and down-regulated differentially expressed genes of M-MSCs, and Gene Set Enrichment Analysis (GSEA) was performed on M-MSCs or F-MSCs. Results: cRNA-seq analysis showed that the mandible and femur had the same bone marrow cell composition, but there were differences in the proportion of specific cell populations. Also, there were significantly differentially expressed genes between M-MSCs and F-MSCs. In addition, cell-cell communication analysis revealed differences in numbers of ligand-receptor pairs between M-MSCs or F-MSCs with other cell populations. Furthermore, GO, KEGG and GSEA analysis showed that M-MSCs had higher extracellular matrix production potential than F-MSCs, but had lower ability to regulate other cells in the bone marrow, especially immune cells. Conclusions: M-MSCs and F-MSCs showed distinct differences in the gene expression pattern and up-regulated signaling pathways, which may be closely related to the developmental sources and functional characteristics of jaw and long bones.
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Affiliation(s)
- H Wang
- Department of Oral Histopathology, School of Stomatology, The Fourth Military Medical University, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi International Joint Research Center for Oral Diseases, Xi'an 710032, China
| | - Z K Zhou
- School of Basic Medicine, The Fourth Military Medical University, Xi'an 710032, China
| | - B D Sui
- Department of Oral Histopathology, School of Stomatology, The Fourth Military Medical University, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi International Joint Research Center for Oral Diseases, Xi'an 710032, China
| | - F Jin
- Department of Orthodontics, School of Stomatology, The Fourth Military Medical University, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi Clinical Research Center for Oral Diseases, Xi'an 710032, China
| | - J Zhou
- Department of Oral Histopathology, School of Stomatology, The Fourth Military Medical University, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi International Joint Research Center for Oral Diseases, Xi'an 710032, China
| | - C X Zheng
- Department of Oral Histopathology, School of Stomatology, The Fourth Military Medical University, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, National Clinical Research Center for Oral Diseases, Shaanxi International Joint Research Center for Oral Diseases, Xi'an 710032, China
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19
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Wei XZ, Gao K, Zhang J, Zhao B, Liu ZG, Wu RQ, Ou MM, Zhang Q, Li W, Cheng Q, Xie YL, Zhang TY, Li YJ, Wang H, Wang ZM, Zhang W, Zhou J. [Effect of preemptive analgesia with ibuprofen on postoperative pain after mandibular third molar extraction: a randomized controlled trial]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:230-236. [PMID: 38432654 DOI: 10.3760/cma.j.cn112144-20231203-00276] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Objective: To evaluate the impact of preemptive analgesia with ibuprofen on postoperative pain following the extraction of impacted mandibular third molars in a Chinese population, aiming to provide a clinical reference for its application. Methods: This multicenter, randomized, double-blind, placebo-controlled parallel-group trial was conducted from April 2022 to October 2023 at the Capital Medical University School of Stomatology (40 cases), Beijing TianTan Hospital, Capital Medical University (22 cases), and Beijing Chao-Yang Hospital, Capital Medical University (20 cases). It included 82 patients with impacted mandibular third molars, with 41 in the ibuprofen group and 41 in the control group. Participants in the ibuprofen group received 300 mg of sustained-release ibuprofen capsules orally 15 min before surgery, while the control group received a placebo. Both groups were instructed to take sustained-release ibuprofen capsules as planned for 3 days post-surgery. Pain intensity was measured using the numerical rating scale at 30 min, 4 h, 6 h, 8 h, 24 h, 48 h, and 72 h after surgery, and the use of additional analgesic medication was recorded during days 4 to 6 postoperatively. Results: All 82 patients completed the study according to the protocol. No adverse events such as nausea, vomiting, or allergies were reported in either group during the trial. The ibuprofen group exhibited significantly lower pain scores at 4 h [2.0 (1.0, 4.0) vs. 4.0 (3.0, 5.0)] (Z=-3.73, P<0.001), 6 h [2.0 (1.0, 4.0) vs. 5.0(2.5, 6.0)] (Z=-3.38, P<0.001), and 8 h [2.0 (1.0, 4.0) vs. 5.0 (2.0, 6.0)] (Z=-2.11, P=0.035) postoperatively compared to the control group. There were no statistically significant differences in pain scores between the groups at 30 min, 24 h, 48 h, and 72 h postoperatively (P>0.05). Additionally, 11 out of 41 patients (26.8%) in the ibuprofen group and 23 out of 41 patients (56.1%) in the control group required extra analgesic medication between days 4 and 6 post-surgery, with the ibuprofen group taking significantly fewer additional pills [0.0 (0.0, 1.0) vs. 1.0 (0.0, 3.0)] (Z=-2.81, P=0.005). Conclusions: A pain management regimen involving 300 mg of oral sustained-release ibuprofen capsules administered 15 minutes before surgery and continued for 3 d postoperatively effectively reduces pain levels and the total amount of analgesic medication used after the extraction of impacted mandibular third molars. Considering its efficacy, safety, and cost-effectiveness, ibuprofen is recommended as a first-line drug for perioperative pain management, enhancing patient comfort during diagnosis and treatment in a feasible manner.
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Affiliation(s)
- X Z Wei
- Department of Emergency and General Dentistry, Capital Medical University School of Stomatology, Beijing 100050, China
| | - K Gao
- Department of VIP Dental Service, Capital Medical University School of Stomatology, Beijing 100050, China
| | - J Zhang
- Department of Oral Maxillofacial Surgery, Capital Medical University School of Stomatology, Beijing 100050, China
| | - B Zhao
- Department of Pharmacy, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Z G Liu
- Statistics Department, Pharmacology Base, Beijing Anzhen Hospital, Capital Medical University, Beijing 100011, China
| | - R Q Wu
- Department of Stomatology, Beijing TianTan Hospital, Capital Medical University, Beijing 100070, China
| | - M M Ou
- Department of Stomatology, Beijing TianTan Hospital, Capital Medical University, Beijing 100070, China
| | - Q Zhang
- Department of Stomatology, Beijing TianTan Hospital, Capital Medical University, Beijing 100070, China
| | - W Li
- Department of Stomatology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Q Cheng
- Department of Stomatology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Y L Xie
- Department of Stomatology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - T Y Zhang
- Department of VIP Dental Service, Capital Medical University School of Stomatology, Beijing 100050, China
| | - Y J Li
- Department of VIP Dental Service, Capital Medical University School of Stomatology, Beijing 100050, China
| | - H Wang
- Department of Stomatology, Beijing TianTan Hospital, Capital Medical University, Beijing 100070, China
| | - Z M Wang
- Department of Stomatology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - W Zhang
- Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
| | - J Zhou
- Department of VIP Dental Service, Capital Medical University School of Stomatology, Beijing 100050, China
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Xie P, Zhou X, Li Y, Wu J, Zhang H, Huang Y, Tan X, Wen L, Olasunkanmi OI, Zhou J, Sun Z, Liu M, Zhang G, Wang Y, Xie P, Yang J, Zheng P. Gut microbial CAZymes markers for depression. Transl Psychiatry 2024; 14:135. [PMID: 38443364 PMCID: PMC10914822 DOI: 10.1038/s41398-024-02850-x] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 02/19/2024] [Accepted: 02/22/2024] [Indexed: 03/07/2024] Open
Abstract
Major depressive disorder (MDD) is a serious mental illness, characterized by disturbances of gut microbiome, it is required to further explore how the carbohydrate-active enzymes (CAZymes) were changed in MDD. Here, using the metagenomic data from patients with MDD (n = 118) and heath controls (HC, n = 118), we found that the whole CAZymes signatures of MDD were significantly discriminated from that in HC. α-diversity indexes of the two groups were also significantly different. The patients with MDD were characterized by enriched Glycoside Hydrolases (GHs) and Polysaccharide Lyases (PLs) relative to HC. A panel of makers composed of 9 CAZymes mainly belonging to GHs enabled to discriminate the patients with MDD and HC with AUC of 0.824. In addition, this marker panel could classify blinded test samples from the two groups with an AUC of 0.736. Moreover, we found that baseline 4 CAZymes levels also could predict the antidepressant efficacy after adjusted confounding factors and times of depressive episode. Our findings showed that MDD was associated with disturbances of gut CAZymes, which may help to develop diagnostic and predictive tools for depression.
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Affiliation(s)
- Peijun Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xingyu Zhou
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yifan Li
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jing Wu
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hanping Zhang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Huang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xunmin Tan
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Lu Wen
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | | | - Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zuoli Sun
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Min Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Guofu Zhang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Ying Wang
- Department of Rehabilitation, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Peng Xie
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jian Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Peng Zheng
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
- Institute for Brain Science and Disease, Chongqing Medical University, Chongqing, China.
- Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education), Chongqing Medical University, Chongqing, China.
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Mao Z, Zhao J, Cui F, Li Z, Cao J, Zhou J, Hou M, Qian Z. STUB1 increases adiponectin expression by inducing ubiquitination and degradation of NR2F2, thereby reducing hepatic stellate cell activation and alleviating non-alcoholic fatty liver disease. Tissue Cell 2024; 88:102345. [PMID: 38471267 DOI: 10.1016/j.tice.2024.102345] [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: 12/24/2023] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024]
Abstract
BACKGROUND Adiponectin (APN) has exhibited ameliorating effects on non-alcoholic fatty liver disease (NAFLD). This study investigates the roles of APN and its regulatory molecules in hepatic stellate cell (HSC) activation and the progression of NAFLD. METHODS Mice were subjected to a high-fat diet (HFD) to establish NAFLD models. Liver tissue was examined for lipid metabolism, fibrosis, and inflammation. Mouse 3T3-L1 adipocytes were exposed to palmitic acid (PA) to mimic a high-fat environment. The conditioned medium (CM) from adipocytes was collected for the culture of isolated mouse HSCs. Gain- or loss-of-function studies of APN, nuclear receptor subfamily 2 group F member 2 (NR2F2), and STIP1 homology and U-box containing protein 1 (STUB1) were performed to analyze their roles in NAFLD and HSC activation in vivo and in vitro. RESULTS APN expression was poorly expressed in HFD-fed mice and PA-treated 3T3-L1 adipocytes, which was attributed to the transcription inhibition mediated by NR2F2. Silencing of NR2F2 restored the APN expression, ameliorating liver steatosis, fibrosis, and inflammatory cytokine infiltration in mouse livers and reducing HSC activation. Similarly, the NR2F2 silencing condition reduced HSC activation in vitro. However, these effects were counteracted by artificial APN silencing. STUB1 facilitated the ubiquitination and protein degradation of NR2F2, and its upregulation mitigated NAFLD-like symptoms in mice and HSC activation, effects reversed by the NR2F2 overexpression. CONCLUSION This study highlights the role of STUB1 in reducing HSC activation and alleviating NAFLD by attenuating NR2F2-mediated transcriptional repression of APN.
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Affiliation(s)
- Zheng Mao
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People's Hospital of Wuhu), Wuhu, Anhui 241000, PR China
| | - Jindong Zhao
- Department of Endocrinology, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, Anhui 230038, PR China
| | - Fan Cui
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People's Hospital of Wuhu), Wuhu, Anhui 241000, PR China
| | - Zhen Li
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People's Hospital of Wuhu), Wuhu, Anhui 241000, PR China
| | - Jinjin Cao
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People's Hospital of Wuhu), Wuhu, Anhui 241000, PR China
| | - Jingjing Zhou
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People's Hospital of Wuhu), Wuhu, Anhui 241000, PR China
| | - Mingliang Hou
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People's Hospital of Wuhu), Wuhu, Anhui 241000, PR China
| | - Zengkun Qian
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People's Hospital of Wuhu), Wuhu, Anhui 241000, PR China.
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22
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Zhou J, Zhuo XW, Jin M, Duan C, Zhang WH, Ren CH, Gong S, Tian XJ, Ding CH, Ren XT, Li JW. [Clinical and prognostic analysis of opsoclonus-myoclonus-ataxia syndrome in children]. Zhonghua Er Ke Za Zhi 2024; 62:256-261. [PMID: 38378288 DOI: 10.3760/cma.j.cn112140-20230911-00174] [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] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
Objective: To summarize the clinical and prognostic features of children with opsoclonus-myoclonus-ataxia syndrome (OMAS). Methods: A total of 46 patients who met the diagnostic criteria of OMAS in the Department of Neurology, Beijing Children's Hospital from June 2015 to June 2023 were retrospectively analyzed. Centralized online consultations or telephone visits were conducted between June and August 2023. The data of the children during hospitalization and follow-up were collected, including clinical manifestations, assistant examination, treatment and prognosis. According to the presence or absence of tumor, the patients were divided into two groups. The chi-square test or Mann-Whitney U test was used to compare the differences between the two groups. Univariate Logistic regression was used to analyze the factors related to OMAS recurrence and prognosis. Results: There were 46 patients, with 25 males and the onset age of 1.5 (1.2, 2.4) years. Twenty-six (57%) patients were diagnosed with neuroblastoma during the course of the disease, and no patients were categorized into the high-risk group. A total of 36 patients (78%) were followed up for≥6 months, and all of them were treated with first-line therapy with glucocorticoids, gammaglobulin and (or) adrenocorticotrophic hormone. Among the 36 patients, 9 patients (25%) were treated with second-line therapy for ≥3 months, including rituximab or cyclophosphamide, and 17 patients (47%) received chemotherapy related to neuroblastoma. At the follow-up time of 4.2 (2.2, 5.5) years, 10 patients (28%) had relapsed of OMAS. The Mitchell and Pike OMS rating scale score at the final follow-up was 0.5 (0, 2.0). Seven patients (19%) were mildly cognitively behind their peers and 6 patients (17%) were severely behind. Only 1 patient had tumor recurrence during follow-up. The history of vaccination or infection before onset was more common in the non-tumor group than in the tumor group (55%(11/20) vs. 23%(6/26), χ²=4.95, P=0.026). Myoclonus occurred more frequently in the non-tumor group (40%(8/20) vs. 4%(1/26), χ²=7.23, P=0.007) as the onset symptom. Univariate Logistic regression analysis showed that the tumor group had less recurrence (OR=0.19 (0.04-0.93), P=0.041). The use of second-line therapy or chemotherapy within 6 months of the disease course had a better prognosis (OR=11.64 (1.27-106.72), P=0.030). Conclusions: OMAS in children mostly starts in early childhood, and about half are combined with neuroblastoma. Neuroblastoma in combination with OMAS usually has a low risk classification and good prognosis. When comparing patients with OMAS with and without tumors, the latter have a more common infection or vaccination triggers, and myoclonus, as the onset symptom, is more common. Early addition of second-line therapy is associated with better prognosis in OMAS.
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Affiliation(s)
- J Zhou
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - X W Zhuo
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - M Jin
- Department of Medical Oncology, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - C Duan
- Department of Medical Oncology, Beijing Children's Hospital, Capital Medical University, Beijing 100045, China
| | - W H Zhang
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - C H Ren
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - S Gong
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - X J Tian
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - C H Ding
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - X T Ren
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
| | - J W Li
- Department of Neurology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing 100045, China
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Zhou J, Zhou J, Feng Z, Feng L, Xiao L, Chen X, Yang J, Feng Y, Wang G. Identifying the core residual symptom in patients with major depressive disorder using network analysis and illustrating its association with prognosis: A study based on the national cohorts in China. Gen Hosp Psychiatry 2024; 87:68-76. [PMID: 38325144 DOI: 10.1016/j.genhosppsych.2024.01.012] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/09/2024]
Abstract
OBJECTIVE To identify the core residual symptom of MDD and assess its relationship with patients' long-term outcomes. METHOD All patients were administered antidepressants during the acute phase and treated continuously. The 521 patients remitted at month 6 of a multicenter prospective project were included. Remission was defined as a Quick Inventory of Depressive Symptoms-Self-Report total score of ≤5. Functional impairments were measured with the Sheehan Disability Scale, quality of life with the Quality of Life Enjoyment and Satisfaction Questionnaire - short form, and family burden with the Family Burden Scale of Disease. Visits were scheduled at baseline, weeks 2, 8, 12, and month 6. RESULTS Difficulty with concentration/decision making was the core residual symptom of MDD, determined with the centrality measure of network analysis. It was positively associated with functional impairments and family burden (r = 0.35, P < 0.01 and r = 0.31, P < 0.01, respectively) and negatively associated with life satisfaction (r = -0.29, P < 0.01). The exhibition of this residual symptom was associated with a family history of psychiatric disorders (OR = 2.610 [1.242-5.485]). CONCLUSIONS The core residual symptom of MDD, difficulty with concentration/decision making, is associated with poorer social functioning, heavier family burden, and lower life satisfaction. Early detection and intervention of this symptom may be beneficial. CLINICAL TRIALS REGISTRATION NUMBER (Chinese Clinical Trials.gov identifier) ChiCTR-OOC-17012566 and ChiCTR-INR-17012574.
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Affiliation(s)
- Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jia Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zizhao Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Lei Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Le Xiao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xu Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jian Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Ju Z, Cui F, Mao Z, Li Z, Yi X, Zhou J, Cao J, Li X, Qian Z. miR-335-3p improves type II diabetes mellitus by IGF-1 regulating macrophage polarization. Open Med (Wars) 2024; 19:20240912. [PMID: 38463527 PMCID: PMC10921448 DOI: 10.1515/med-2024-0912] [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: 05/31/2023] [Revised: 12/21/2023] [Accepted: 01/22/2024] [Indexed: 03/12/2024] Open
Abstract
Previous studies have found that miR-335 is highly expressed in type II diabetes mellitus (T2DM) models and is related to insulin secretion, but there are few studies on the regulatory effects of miR-335-3p on insulin resistance and macrophage polarization in T2DM patients. This study aims to explore the effects of miR-335-3p on insulin resistance and macrophage polarization in T2DM patients. Blood glucose (insulin tolerance tests, glucose tolerance tests) and body weight of the T2DM model were measured; macrophages from adipose tissue were isolated and cultured, and the number of macrophages was detected by F4/80 immunofluorescence assay; the Real-time quantitative polymerase chain reaction (qPCR) assay and Western blot assay were used to detect the miR-335-3p expression levels, insulin-like growth factor 1 (IGF-1), M1-polarizing genes (inducible nitric oxide synthase [iNOS] and TNF-α) as well as M2-polarizing genes (IL-10 and ARG-1). The targeting link between miR-335-3p and IGF-1 was confirmed using bioinformatics and dual luciferase assay. The results showed that miR-335-3p expression level in adipose tissue of the T2DM model was significantly decreased, and the mice's body weight and blood glucose levels dropped considerably, miR-335-3p inhibited the number of macrophages, inhibiting the iNOS and TNF-α relative mRNA expression levels, and up-regulated the IL-10 and ARG-1 relative mRNA expression levels, miR-335-3p negatively regulated target gene IGF-1, IGF-1 significantly increased the iNOS and TNF-α mRNA and protein expression levels, decreasing the IL-10 and ARG-1 mRNA and protein expression levels, indicating that miR-335-3p could affect the T2DM process by regulating macrophage polarization via IGF-1.
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Affiliation(s)
- Zhengzheng Ju
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Fan Cui
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Zheng Mao
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Zhen Li
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Xiayu Yi
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Jingjing Zhou
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Jinjin Cao
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Xiaoqin Li
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
| | - Zengkun Qian
- Department of Clinical Laboratory, Wuhu Hospital Affiliated to Anhui University of Science and Technology (The First People’s Hospital of Wuhu), Wuhu, Anhui, China
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Zhou T, Wu X, Liu S, Wang A, Liu Y, Zhou W, Sun K, Li S, Zhou J, Li B, Jiang J. Biomass-Derived Catalytically Active Carbon Materials for the Air Electrode of Zn-air Batteries. ChemSusChem 2024:e202301779. [PMID: 38416074 DOI: 10.1002/cssc.202301779] [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: 11/29/2023] [Revised: 01/17/2024] [Accepted: 02/28/2024] [Indexed: 02/29/2024]
Abstract
Given the growing environmental and energy problems, developing clean, renewable electrochemical energy storage devices is of great interest. Zn-air batteries (ZABs) have broad prospects in energy storage because of their high specific capacity and environmental friendliness. The unavailability of cheap air electrode materials and effective and stable oxygen electrocatalysts to catalyze air electrodes are main barriers to large-scale implementation of ZABs. Due to the abundant biomass resources, self-doped heteroatoms, and unique pore structure, biomass-derived catalytically active carbon materials (CACs) have great potential to prepare carbon-based catalysts and porous electrodes with excellent performance for ZABs. This paper reviews the research progress of biomass-derived CACs applied to ZABs air electrodes. Specifically, the principle of ZABs and the source and preparation method of biomass-derived CACs are introduced. To prepare efficient biomass-based oxygen electrocatalysts, heteroatom doping and metal modification were introduced to improve the efficiency and stability of carbon materials. Finally, the effects of electron transfer number and H2 O2 yield in ORR on the performance of ZABs were evaluated. This review aims to deepen the understanding of the advantages and challenges of biomass-derived CACs in the air electrodes of ZABs, promote more comprehensive research on biomass resources, and accelerate the commercial application of ZABs.
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Affiliation(s)
- Ting Zhou
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
| | - Xianli Wu
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
| | - Shuling Liu
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
| | - Ao Wang
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
| | - Yanyan Liu
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
- College of Science, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, P. R. China
| | - Wenshu Zhou
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
| | - Kang Sun
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
- Department of Chemistry, Tsinghua University, Beijing, 100084, P. R. China
| | - Shuqi Li
- College of Science, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, P. R. China
| | - Jingjing Zhou
- College of Science, Henan Agricultural University, 95 Wenhua Road, Zhengzhou, 450002, P. R. China
| | - Baojun Li
- College of Chemistry, Zhengzhou University, 100 Science Road, Zhengzhou, 450001, P. R. China
| | - Jianchun Jiang
- Institute of Chemical Industry of Forest Products, CAF, National Engineering Lab for Biomass Chemical Utilization, Key and Open Lab on Forest Chemical Engineering, SFA, 16 Suojinwucun, Nanjing, 210042, P. R. China
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Zhou J, Li D, Wang Y. Vitamin D Deficiency Participates in Depression of Patients with Diabetic Peripheral Neuropathy by Regulating the Expression of Pro-Inflammatory Cytokines. Neuropsychiatr Dis Treat 2024; 20:389-397. [PMID: 38436043 PMCID: PMC10908276 DOI: 10.2147/ndt.s442654] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Accepted: 02/19/2024] [Indexed: 03/05/2024] Open
Abstract
Objective Vitamin D deficiency is associated with patients with diabetic peripheral neuropathy (DPN), and low levels of vitamin D are common in patients with depression. Depression is common in DPN patients and the definite pathogenesis remains unclear. This study aimed to determine vitamin D deficiency in the onset of depression in DPN and evaluate the effect of vitamin D supplementation on depression. Methods A total of 192 patients with DPN were enrolled in this study. Clinical and laboratory information was collected. Chemiluminescent immunoassay was used to measure the level of 25(OH)D. Enzyme-linked immunosorbent assay was employed to measure the concentrations of interleukin (IL)-1β, tumor necrosis factor-α (TNF-α), and IL-17A. Subjects with low 25(OH)D received 5000IU vitamin D daily for 12 weeks. Depression scores and levels of 25(OH)D, IL-1β, TNF-α, and IL-17A were re-evaluated after supplementation. Results The incidence of vitamin D deficiency and depression was high in DPN patients. Compared with vitamin D sufficient participants, Hamilton Depression Rating Scale (HAMD) scores and the levels of inflammatory markers IL-1β, TNF-α, and IL-17A were significantly higher in insufficient group (all p<0.05). HAMD score, IL-1β, TNF-α, and IL-17A were negatively correlated with 25(OH)D (all p<0.05). A linear relationship existed among IL-1β, TNF-α, IL-17A, and 25(OH)D (p<0.05). HAMD scores, IL-1β, TNF-α, and IL-17A were all reduced significantly after supplementation of vitamin D (p<0.05). Binary logistic analysis revealed that vitamin D insufficiency was an independent risk factor for depression in patients with DPN. Receiver operating characteristic (ROC) curve analysis showed a high sensitivity (87.20%) of 25(OH)D in discriminating DPN patients with depression. Conclusion Vitamin D deficiency participated in occurrence of depression in DPN patients and could be mediated, at least in part, by upregulation of pro-inflammatory cytokines. Vitamin D supplementation may be effective in improving depressive symptoms in DPN patients.
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Affiliation(s)
- Jingjing Zhou
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230001, People’s Republic of China
- Department of Endocrinology, The Second People’s Hospital of Lu’an, Affiliated Hospital of West Anhui Health Vocational College, Lu’an, Anhui, 237000, People’s Republic of China
| | - Dongfeng Li
- Department of Endocrinology, The Second People’s Hospital of Lu’an, Affiliated Hospital of West Anhui Health Vocational College, Lu’an, Anhui, 237000, People’s Republic of China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230001, People’s Republic of China
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Zhou J, Chen XF, Gao YH, Yan F, Xi HQ. [Prevalence and risk factors of sarcopenia after radical gastrectomy for gastric cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:189-195. [PMID: 38413088 DOI: 10.3760/cma.j.cn441530-20230324-00093] [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] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Objective: To investigate the prevalence and risk factors of sarcopenia in patients following radical gastrectomy with the aim of guiding clinical decisions. Methods: This was a retrospective observational study of data of patients who had undergone radical gastrectomy between June 2021 and June 2022 at the Department of General Surgery, First Medical Center of Chinese PLA General Hospital. Participants were reviewed 9-12 months after surgery. Inclusion criteria were as follows: (1) radical gastrectomy with a postoperative pathological diagnosis of primary gastric cancer; (2) no invasion of neighboring organs, peritoneal dissemination, or distant metastasis confirmed intra- or postoperatively; (3) availability of complete clinical data, including abdominal enhanced computed tomography and pertinent blood laboratory tests 9-12 after surgery. Exclusion criteria were as follows: (1) age <18 years; (2) presence of gastric stump cancer or previous gastrectomy; (3) history of or current other primary tumors within the past 5 years; (4) preoperative diagnosis of sarcopenia (skeletal muscle index [SMI) ≤52.4 cm²/m² for men, SMI ≤38.5 cm²/m² for women). The primary focus of the study was to investigate development of postoperative sarcopenia in the study cohort. Univariate and multivariate logistic regression were used to identify the factors associated with development of sarcopenia after radical gastrectomy. Results: The study cohort comprised 373 patients of average age of 57.1±12.3 years, comprising 292 (78.3%) men and 81 (21.7%) women. Postoperative sarcopenia was detected in 81 (21.7%) patients in the entire cohort. The SMI for the entire group was (41.79±7.70) cm2/m2: (46.40±5.03) cm2/m2 for men and (33.52±3.63) cm2/m2 for women. According to multivariate logistic regression analysis, age ≥60 years (OR=2.170, 95%CI: 1.175-4.007, P=0.013), high literacy (OR=2.512, 95%CI: 1.238-5.093, P=0.011), poor exercise habits (OR=3.263, 95%CI: 1.648-6.458, P=0.001), development of hypoproteinemia (OR=2.312, 95%CI: 1.088-4.913, P=0.029), development of hypertension (OR=2.169, 95%CI: 1.180-3.984, P=0.013), and total gastrectomy (OR=2.444, 95%CI:1.214-4.013,P=0.012) were independent risk factors for postoperative sarcopenia in post-gastrectomy patients who had had gastric cancer (P<0.05). Conclusion: Development of sarcopenia following radical gastrectomy demands attention. Older age, higher education, poor exercise habits, hypoproteinemia, hypertension, and total gastrectomy are risk factors for its development post-radical gastrectomy.
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Affiliation(s)
- J Zhou
- Division of Gastric Surgery, Senior Department of General Surgery, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - X F Chen
- Division of Gastric Surgery, Senior Department of General Surgery, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Y H Gao
- Division of Gastric Surgery, Senior Department of General Surgery, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - F Yan
- Department of Diagnostic Radiology,the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - H Q Xi
- Division of Abdominal Trauma Surgery, Senior Department of General Surgery, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
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Zhou J, Liu R, Zhou J, Liu J, Zhou Y, Yang J, Wang G. Elevated VCAM-1 levels in peripheral blood are associated with brain structural and functional alterations in major depressive disorder. J Affect Disord 2024; 347:584-590. [PMID: 38065481 DOI: 10.1016/j.jad.2023.12.001] [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: 04/22/2023] [Revised: 11/19/2023] [Accepted: 12/02/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Vascular cell adhesion molecule-1 (VCAM-1) is a well-known biomarker of endothelial activation. This study aimed to determine whether changes in peripheral VCAM-1 levels occurred in major depressive disorder (MDD) patients and explored immune-brain interactions based on neuroimaging. METHODS This study included 165 subjects (80 healthy controls [HCs] and 85 MDD patients). Of them, 133 underwent magnetic resonance imaging. VCAM-1 was measured using a commercially available Enzyme-Linked Immunosorbent Assay kit following the manufacturer's instructions. The gray matter volume (GMV) and surface-based functional connectivity (FC) were calculated based on Schaefer parcellation 400 parcels. RESULTS Compared with the HCs, MDD patients exhibited significantly higher level of VCAM-1. The correlation analysis showed that VCAM-1 had a significant negative correlation with GMV of the right medial frontal cortex (MFC) and postcentral (PostCG). The mediation analyses showed that VCAM-1 mediated the association between group and GMV of PostCG and the FC of left ventral prefrontal cortex (vPFC) with right inferior parietal lobe (IPL). CONCLUSIONS This study showed that a high level of VCAM-1 was associated to the decreased GMV in the right MFC and PostCG, and mediated the FC of the left vPFC with right IPL. These findings suggested that VCAM-1 might contribute to the etiology of MDD by influencing brain structure and function. LIMITATIONS The cross-sectional design makes it difficult to determine the causal relationship and dynamic effect among VCAM-1, brain structure/function features, and depressive symptoms.
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Affiliation(s)
- Jingjing Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Rui Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jia Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jing Liu
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jian Yang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Gang Wang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Zhou J, Zhou J, Feng Y, Feng L, Xiao L, Chen X, Feng Z, Yang J, Wang G. The novel subtype of major depressive disorder characterized by somatic symptoms is associated with poor treatment efficacy and prognosis: A data-driven cluster analysis of a prospective cohort in China. J Affect Disord 2024; 347:576-583. [PMID: 38065479 DOI: 10.1016/j.jad.2023.12.005] [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: 08/09/2023] [Revised: 11/15/2023] [Accepted: 12/02/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND There is not yet a valid and evidence-based system to classify patients with MDD into more homogeneous subtypes based on their clinical features. This study aims to identify symptom-based subtypes of MDD and investigate whether the treatment outcomes of those subtypes would be different. METHOD The cohort was established at 12 densely populated cities of China. A total of 1487 patients were enrolled. All participants were 18-65 years old and diagnosed with MDD. Participants were followed up at baseline, weeks 4, 8, and 12, and months 4 and 6. K-means algorithm was used to cluster patients with MDD according to clinical symptoms. The network analysis was adopted to characterize and compare the symptom patterns in the clusters. We also examined the associations between the clusters and the clinical outcomes. RESULTS The optimal number of the clusters was determined to be 2. Each cluster's maximum Jaccard Co-efficient was calculated to be >0.5 (cluster1 = 0.53, cluster 2 = 0.67). The symptom "depressed mood" and some other affective symptoms were the most prominent in cluster 1. Somatic symptoms, such as weight loss and general somatic symptoms, had the greatest expected influence in cluster 2. Compared with the response rates of the patients in the "somatic cluster", those of the patients in the "affective cluster" were significantly higher (P < 0.05). CONCLUSIONS Patients with MDD might be classified into two symptom-based subtypes featured with affective symptoms or somatic symptoms. The treatment efficacy and prognosis of the subtype featured with somatic symptoms may be worse.
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Affiliation(s)
- Jingjing Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jia Zhou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Yuan Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Lei Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Le Xiao
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Xu Chen
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Zizhao Feng
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Jian Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China.
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Xing T, Zhao Y, Wang L, Geng W, Liu W, Zhou J, Huang C, Wang W, Chu X, Liu B, Chen K, Zheng H, Li L. Fine-scale mapping of chromosome 9q22.33 identifies candidate causal variant in ovarian cancer. PeerJ 2024; 12:e16918. [PMID: 38371376 PMCID: PMC10874173 DOI: 10.7717/peerj.16918] [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: 09/15/2023] [Accepted: 01/18/2024] [Indexed: 02/20/2024] Open
Abstract
Ovarian cancer is a complex polygenic disease in which genetic factors play a significant role in disease etiology. A genome-wide association study (GWAS) identified a novel variant on chromosome 9q22.33 as a susceptibility locus for epithelial ovarian cancer (EOC) in the Han Chinese population. However, the underlying mechanism of this genomic region remained unknown. In this study, we conducted a fine-mapping analysis of 130 kb regions, including 1,039 variants in 200 healthy women. Ten variants were selected to evaluate the association with EOC risk in 1,099 EOC cases and 1,591 controls. We identified two variants that were significantly associated with ovarian cancer risk (rs7027650, P = 1.91 × 10-7; rs1889268, P = 3.71 × 10-2). Expression quantitative trait locus (eQTL) analysis found that rs7027650 was significantly correlated with COL15A1 gene expression (P = 0.009). The Luciferase reporter gene assay confirmed that rs7027650 could interact with the promoter region of COL15A1, reducing its activity. An electrophoretic mobility shift assay (EMSA) showed the allele-specific binding capacity of rs7027650. These findings revealed that rs7027650 could be a potential causal variant at 9q22.33 region and may regulate the expression level of COL15A1. This study offered insight into the molecular mechanism behind a potential causal variant that affects the risk of ovarian cancer.
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Affiliation(s)
- Tongyu Xing
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Yanrui Zhao
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Lili Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Wei Geng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Wei Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Jingjing Zhou
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Caiyun Huang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Wei Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xinlei Chu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Ben Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Lian Li
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Human Major Diseases, Ministry of Education, Tianjin’s Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
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Wang B, Shi C, Zhu A, Qiao F, Zhou J, Yang C, Sheng Y, Tang H, Tang G, Wang D. Three-dimensional printing technique aids screw insertion into the sustentaculum tali of the internal fixation of intra-articular calcaneal fractures. Orthop Traumatol Surg Res 2024:103835. [PMID: 38355011 DOI: 10.1016/j.otsr.2024.103835] [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: 08/10/2022] [Revised: 10/26/2023] [Accepted: 02/07/2024] [Indexed: 02/16/2024]
Abstract
INTRODUCTION Treating complex calcaneus fractures remains challenging. This study evaluated the influence of 3D printing and simulation on precision screw insertion into the calcaneus sustentaculum tali (ST). HYPOTHESIS 3D printing and simulation improve the treatment for calcaneal fracture. PATIENTS AND METHODS This retrospective cohort study included 85 patients admitted with 93 Sanders type II-IV intra-articular fractures from January 2015 to June 2020. Multi-slice computed tomography (MSCT) images were used in the conventional group, and MSCT data were used to construct a 3D model of the calcaneus to simulate screw insertion and verify parameter accuracy in the 3D group. RESULTS The designed parameters (upward and backward oblique angles and screw-path length) were similar to the actual values in the 3D group (p=0.428,0.287,0.585) but not in the conventional group (p=0.01,0.002,0.023). The Maryland foot functional score, accuracy rate, and average screw number were higher and operative time was shorter in the 3D group (p=0.005,0.007,0.000,0.000). DISCUSSION Preoperative simulation using the 3D printing model helped guide the screws into the ST more accurately, lending better-quality treatment for Sanders type II-IV calcaneal fractures. LEVEL OF PROOF III; Retrospective case-control study.
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Affiliation(s)
- Bing Wang
- Department of Traumatic Orthopedics, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Ce Shi
- Department of Traumatic Orthopedics, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Aixiang Zhu
- Department of Traumatic Orthopedics, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Fenglei Qiao
- Department of Medical Imaging, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Jingjing Zhou
- Department of Medical Imaging, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Chun Yang
- Department of Traumatic Orthopedics, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Yachao Sheng
- Department of Traumatic Orthopedics, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Honglan Tang
- Department of Traumatic Orthopedics, The Affiliated Suqian Hospital of Xuzhou Medical University, No 138. Huanghe Road, Suqian City, Jiangsu Province, China
| | - Guangsheng Tang
- School of Basic Medicine, Xuzhou Medical University, No 209. Tongshan Road, Xuzhou City, Jiangsu Province, China; School of Medical Imaging, Xuzhou Medical University, No 209. Tongshan Road, Xuzhou City, Jiangsu Province, China
| | - Deguang Wang
- School of Basic Medicine, Xuzhou Medical University, No 209. Tongshan Road, Xuzhou City, Jiangsu Province, China; School of Medical Imaging, Xuzhou Medical University, No 209. Tongshan Road, Xuzhou City, Jiangsu Province, China.
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Du T, Zheng C, Sun X, Chen B, Zhou J, Dong J, Wang J, Wang J, Zhang H, Zhang Y, Wang Z, Zhao Y. Wavelength-tunable Tm:Y 2O 3 ceramic vortex laser with a changeable orbital angular momentum state. Appl Opt 2024; 63:1217-1221. [PMID: 38437300 DOI: 10.1364/ao.511520] [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] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 01/10/2024] [Indexed: 03/06/2024]
Abstract
Wavelength-tunable orbital angular momentum (OAM) lasers with controllable topological charges have the potential for serving as light sources for large-capacity optical communication by combining conventional wavelength division multiplexing (WDM) with OAM mode-division multiplexing (OAM-MDM). In this study, we demonstrate a wavelength-tunable Tm-bulk laser that can control OAM states in the 2-µm spectral range. The excitation conditions for different Laguerre-Gaussian (L G 0,l ) modes in a bulk laser cavity are theoretically determined by measuring the spatial propagation dynamics of the annular pump beam. As a proof-of-principle study, we experimentally generate OAM states of |ℏ| and |2ℏ| from a T m:Y 2 O 3 ceramic laser with a tunable emission wavelength using a Lyot filter (LF). The spatial properties of the scalar optical vortices are well conserved during wavelength tuning, indicating the feasibility of our approach for producing wavelength-tunable structured light. These OAM laser sources, which are characterized by their robustness and compactness, have potential applications in various areas such as optical communications, quantum optics, super-resolution microscopes, and more.
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Zhou J, Kong FJ, Hu M, Wang SL. [Summary of the 6th Conference on Three-Dimensional Printing and Stomatology & the 70th Anniversary Academic Forum of the Chinese Journal of Stomatology]. Zhonghua Kou Qiang Yi Xue Za Zhi 2024; 59:204-206. [PMID: 38280742 DOI: 10.3760/cma.j.cn112144-20240115-00022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/29/2024]
Affiliation(s)
- J Zhou
- Department of VIP Dental Service, Capital Medical University School of Stomatology, Beijing 100050, China
| | - F J Kong
- Editorial Office of Chinese Journal of Stomatology, Publishing House of Chinese Medical Association, Beijing 100052, China
| | - M Hu
- Department of Oral and Maxillofacial Surgery, General Hospital of Chinese PLA, Beijing 100853, China
| | - S L Wang
- Beijing Laboratory of Oral Health, Capital Medical University, Beijing 100069, China Laboratory of Homeostatic Medicine, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
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Wang Y, Hu D, Liu Y, Yang L, Huang J, Zhou J, Guo L, Fan X, Huang X, Peng M, Cheng C, Zhang W, Feng R, Tian X, Yu S, Xu KF. Sporadic lymphangioleiomyomatosis in a man with somatic mosaicism of TSC2 mutations, a case report. QJM 2024; 117:75-76. [PMID: 37843443 PMCID: PMC10849871 DOI: 10.1093/qjmed/hcad235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Indexed: 10/17/2023] Open
Affiliation(s)
- Y Wang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - D Hu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liu
- McKusick-Zhang Center for Genetic Medicine, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100005, China
| | - L Yang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Huang
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - J Zhou
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - L Guo
- Department of Dermatology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Center, Beijing, China
| | - X Fan
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - X Huang
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - M Peng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - C Cheng
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - W Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - R Feng
- Department of Pathology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - X Tian
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Yu
- Clinical Genome Center, Guangzhou KingMed Diagnostics Group Co., Ltd., Guangdong, China
| | - K -F Xu
- Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Li Z, Xue C, Li S, Jing M, Liu S, Sun J, Ren T, Zhou J. Preoperative CT histogram analysis to predict the expression of Ki-67 in solid pseudopapillary tumours of the pancreas. Clin Radiol 2024; 79:e197-e203. [PMID: 38007336 DOI: 10.1016/j.crad.2023.10.029] [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: 10/10/2022] [Revised: 10/11/2023] [Accepted: 10/22/2023] [Indexed: 11/27/2023]
Abstract
AIM To explore the value of preoperative computed tomography (CT) histogram features in predicting the expression status of Ki-67 in patients with solid pseudopapillary pancreatic tumours (SPTP). MATERIALS AND METHODS This retrospective study analysed venous phase CT images of 39 patients with SPTP confirmed at surgery and histopathology and measured using the Ki-67 proliferation index from November 2015 to February 2022. According to the Ki-67 proliferation index, they were divided into high expression (Ki-67 ≥ 4%) and low expression (Ki-67 < 4%) groups. The histogram features of quantitative parameters were extracted using MaZda software, and the quantitative parameters of CT histograms were compared between groups. The receiver operating characteristic (ROC) curves of the patients were plotted according to the parameters, with statistically significant differences. The area under the curve (AUC), sensitivity, and specificity were calculated, and the effectiveness of the histogram parameters in predicting Ki-67 expression was analysed and evaluated. RESULTS In total, 27 SPTP patients were enrolled, including 11 with high expression of Ki-67 and 16 with low expression. Comparative analysis of the Ki-67 high- and low-expression groups revealed a statistically significant in necrosis and variance (p<0.05). ROC curve analysis showed that the AUC of necrosis and variance predicting Ki-67 expression status were 0.753 and 0.841, the sensitivities were 81.8% and 81.3%, and the specificities were 68.7% and 81.8%, respectively. CONCLUSION Preoperative CT histogram features help predict Ki-67 expression status in patients with SPTP.
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Affiliation(s)
- Z Li
- Department of Imaging, Shaanxi Provincial People's Hospital, Xi'an, China
| | - C Xue
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - S Li
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - M Jing
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - S Liu
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - J Sun
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - T Ren
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - J Zhou
- Department of Radiology, Lanzhou University Second Hospital, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Second Clinical School, Lanzhou University, Lanzhou, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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Zhou J, Xie JL, Zhou XG, Zhou XJ, Xia QX. [Follicular lymphoma with a predominantly diffuse growth pattern with 1p36 deletion: a clinicopathologic analysis of eight cases]. Zhonghua Bing Li Xue Za Zhi 2024; 53:34-39. [PMID: 38178744 DOI: 10.3760/cma.j.cn112151-20230905-00130] [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] [Subscribe] [Scholar Register] [Indexed: 01/06/2024]
Abstract
Objective: To investigate the clinical and pathologic features and diagnosis of follicular lymphoma (FL) with a predominantly diffuse growth pattern (DFL) with 1p36 deletion. Methods: Eight cases of DFL with 1p36 deletion diagnosed at Department of Pathology, Beijing Friendship Hospital, Capital Medical University (n=5) and the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital (n=3) from January 2017 to January 2023 were included. Their clinicopathologic features and follow-up data were analyzed. Immunohistochemistry and fluorescence in situ hybridization (FISH) were performed. Results: There were five males and three females, with a median age of 67 years, and inguinal lymphadenopathy was found as the main symptom. Histologically, similar morphologic features were sheared among all cases, with effaced nodal structure and characterized by proliferation of centrocytes in a diffuse pattern, with or without follicular components. The germinal center-related markers such as CD10 and/or bcl-6 were expressed in the tumor cells, and 1p36 deletion but not bcl-2 translocation was appreciable in these cases. Conclusions: DFL with 1p36 deletion is a rare subtype of FL, with some overlaps with other types of FL or indolent B-cell lymphomas in their pathologic features. An accurate diagnosis requires comprehensive considerations based on their clinical, pathologic, immunohistochemical, and molecular features.
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Affiliation(s)
- J Zhou
- Department of Pathology, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - J L Xie
- Department of Pathology, Beijing Friendship Hospital, Capital Medical University, Beijing 100020, China
| | - X G Zhou
- Department of Pathology, Beijing Friendship Hospital, Capital Medical University, Beijing 100020, China
| | - X J Zhou
- Department of Pathology, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
| | - Q X Xia
- Department of Pathology, the Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou 450008, China
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Lan W, Liu E, Sun D, Li W, Zhu J, Zhou J, Jin M, Jiang W. Red cell distribution in critically ill patients with chronic obstructive pulmonary disease. Pulmonology 2024; 30:34-42. [PMID: 35501276 DOI: 10.1016/j.pulmoe.2022.04.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 01/10/2022] [Revised: 03/31/2022] [Accepted: 04/01/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Red blood cell distribution width (RDW) is associated with increased mortality risk in patients with chronic obstructive pulmonary disease (COPD). However, limited data are available for critically ill patients with COPD. METHODS Data from the Medical Information Mart for Intensive Care III V1.4 database were analyzed in this retrospective cohort research. The International Classification of Diseases codes were used to identify critically ill patients with COPD. The first value of RDW was extracted within the first 24 h after intensive care unit admission. The endpoint was 28-day all-cause mortality. Multivariable logistic regression analysis was performed to examine the relationship between RDW and 28-day mortality. Age, sex, ethnicity, anemia status, comorbidities, clinical therapy, and disease severity score were considered for subgroup analysis. RESULTS A total of 2,344 patients were included with mean (standard deviation) age of 72.3 (11.3) years, in which 1,739 (53.6%) patients were men. The increase in RDW was correlated with an increased risk of 28-day mortality in the multivariate logistic regression model (odds ratio [OR] 1.15; 95% confidence interval [CI] 1.09-1.21). In comparison with the low-RDW group, the middle and high-RDW groups tended to have higher risks of 28-day all-cause mortality (OR [95% CI] 1.03 [0.78-1.34]; OR [95% CI] 1.70 [1.29-2.22]; P trend < 0.0001). Subgroup analyses show no evidence of effect modifications on the correlation of RDW and 28-day all-cause mortality. CONCLUSION An increase in RDW was associated with an increased risk of 28-day all-cause mortality in critically ill patients with COPD. Further studies are required to investigate this association.
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Affiliation(s)
- W Lan
- Department of Respiratory and Critical Care Medicine, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - E Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang Provincial Key Laboratory for Accurate Diagnosis and Treatment of Chronic Liver Disease, Wenzhou, Zhejiang 325000, China
| | - D Sun
- Department of Respiratory and Critical Care Medicine, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - W Li
- Department of Respiratory and Critical Care Medicine, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China
| | - J Zhu
- Department of Cardiology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang 323000, China
| | - J Zhou
- Department of Pathology, Lishui Hospital, Zhejiang University School of Medicine, Lishui, Zhejiang 323000, China
| | - M Jin
- Department of Internal Medicine, Yunhe People's Hospital, Yunhe, Zhejiang 323600, China
| | - W Jiang
- Department of Gastroenterology, Lishui Municipal Central Hospital, Lishui, Zhejiang 323000, China.
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Liu F, Xiang Z, Li Q, Fang X, Zhou J, Yang X, Lin H, Yang Q. 18F-FDG PET/CT-based radiomics model for predicting the degree of pathological differentiation in non-small cell lung cancer: a multicentre study. Clin Radiol 2024; 79:e147-e155. [PMID: 37884401 DOI: 10.1016/j.crad.2023.09.017] [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: 04/28/2023] [Revised: 09/18/2023] [Accepted: 09/20/2023] [Indexed: 10/28/2023]
Abstract
AIM To explore the value of 2-[18F]-fluoro-2-deoxy-d-glucose (FDG) positron-emission tomography (PET)/computed tomography (CT)-based radiomics model for predicting the degree of pathological differentiation in non-small-cell lung cancer (NSCLC). MATERIALS AND METHODS Clinical characteristics of 182 NSCLC patients from four centres were collected, and radiomics features were extracted from 18F-FDG PET/CT images. Three logistic regression prediction models were established: clinical model; radiomics model; and nomogram combining radiomics signatures and clinical features. The predictive ability of the models was assessed using receiver operating characteristics curve analysis. RESULTS Patients from centre 1 were assigned randomly to the training and internal validation cohorts (7:3 ratio); patients from centres 2-4 served as the external validation cohort. The area under the curve (AUC) values for the clinical model in the training, internal validation, and external validation cohort were 0.74 (95% confidence interval [CI] = 0.64-0.84), 0.64 (95% CI = 0.46-0.81), and 0.74 (95% CI = 0.60-0.88), respectively. In the training (AUC: 0.84 [95% CI = 0.77-0.92]), internal validation (AUC: 0.81 [95% CI = 0.67-0.95]), and external validation cohorts (AUC: 0.74 [95% CI = 0.58-0.89]), the radiomics model showed good predictive ability for differentiation. Compared to the clinical and radiomics models, the nomogram has relatively better diagnostic performance, and the AUC values for nomogram in the training, internal validation, and external validation cohort were 0.86 (95% CI = 0.78-0.93), 0.83 (95% CI = 0.70-0.96), and 0.77 (95% CI = 0.62-0.92), respectively. CONCLUSIONS The 18F-FDG PET/CT-based radiomics model showed good ability for predicting the degree of differentiation of NSCLC. The nomogram combining the radiomics signature and clinical features has relatively better diagnostic performance.
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Affiliation(s)
- F Liu
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Z Xiang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Q Li
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - X Fang
- Department of Radiology, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
| | - J Zhou
- The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu 212001, China
| | - X Yang
- Sichuan Science City Hospital, Mianyang, Sichuan 621000, China
| | - H Lin
- Department of Pharmaceutical Diagnosis, GE Healthcare, Changsha 410005, China
| | - Q Yang
- Center for Molecular Imaging Probe, Hunan Province Key Laboratory of Tumour Cellular and Molecular Pathology, Cancer Research Institute, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
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Deng J, Zhang W, Xu M, Liu X, Ren T, Li S, Sun Q, Xue C, Zhou J. Value of spectral CT parameters in predicting the efficacy of neoadjuvant chemotherapy for gastric cancer. Clin Radiol 2024; 79:51-59. [PMID: 37914603 DOI: 10.1016/j.crad.2023.08.023] [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: 05/06/2023] [Revised: 07/26/2023] [Accepted: 08/30/2023] [Indexed: 11/03/2023]
Abstract
AIM To investigate the value of pre-chemotherapy spectral computed tomography (CT) parameters in predicting neoadjuvant chemotherapy (NAC) response in gastric cancer (GC). MATERIALS AND METHODS Sixty patients with GC who received NAC and underwent spectral CT examination before chemotherapy were enrolled retrospectively and divided into a responsive group and a non-responsive group according to the postoperative pathological tumour regression grade. Clinical characteristics were collected. The iodine concentration (IC), water concentration (WC), and effective atomic number (Eff-Z) of the portal venous phases were measured before chemotherapy, and IC was normalised to that of the aorta to provide the normalised IC (NIC). An independent samples t-test, Mann-Whitney U-test, or chi-square test was used to analyse the differences between the two groups, and the receiver operating curve (ROC) was used to evaluate the predictive performance of different variables. RESULTS The neutrophil-to-lymphocyte ratio (NLR) was lower in the responsive group than in the non-responsive group (p<0.05). IC, NIC, and Eff-Z values were significantly higher in the responsive group than in the non-responsive group (p<0.01). The areas under the ROC curves for the NLR, IC, NIC, and Eff-Z were 0.694, 0.688, 0.799, and 0.690, respectively. The combination of NIC, Eff-Z, and NLR values showed good diagnostic performance in predicting response to NAC in GC, with an area under the ROC curve of 0.857, 76.92% sensitivity, 80% accuracy, and 85.71% specificity. CONCLUSION Spectral CT parameters may serve as non-invasive tools for predicting the response to NAC in patients with GC.
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Affiliation(s)
- J Deng
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - W Zhang
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - M Xu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - X Liu
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - T Ren
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - S Li
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - Q Sun
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - C Xue
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China
| | - J Zhou
- Department of Radiology, Lanzhou University Second Hospital, Chengguan District, Lanzhou, 730030, China; Second Clinical School, Lanzhou University, Lanzhou, 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou, 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, 730030, China.
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Li D, Wang X, Zhou J, Duan Z, Yang R, Liu Y, Chen Y, Zhang L, Liu H, Li W, You J. Analysis of Efficacy and Safety of Small-Volume-Plasma Artificial Liver Model in the Treatment of Acute-On-Chronic Liver Failure. Physiol Res 2023; 72:767-782. [PMID: 38215063 PMCID: PMC10805255] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 08/11/2023] [Indexed: 01/14/2024] Open
Abstract
To explore the efficacy and safety of a small-volume-plasma artificial liver support system (ALSS) in the treatment of acute-on-chronic liver failure (ACLF). A retrospective analysis was performed. All ACLF patients received ALSS of plasma exchange & double plasma molecular absorb system (PE+DPMAS) treatment, and successfully completed this treatment. Patients were divided into small-volume and half-volume plasma groups. We compared the changes of the indicators on liver function, kidney function, blood coagulation function, and blood ammonia level before and after PE+DPMAS treatment; we compared the short-term and long-term curative effects between small-volume and half-volume plasma groups; and the factors influencing Week 4 and Week 12 mortality of ACLF patients were analyzed. The Week 4 improvement rates were 63.96 % and 66.86 % in the small-volume and half-volume plasma groups, respectively. The Week 12 survival rates in the small-volume-plasma and half-volume plasma groups were 66.72 % and 64.61 %, respectively. We found several risk factors affecting Week 4 and Week 12 mortality. Kaplan-Meier survival curves suggested no significant difference in Week 4 and Week 12 survival rates between the small-volume and half-volume plasma groups (P=0.34). The small-volume-plasma PE+DPMAS treatment could effectively reduce bilirubin and bile acids, and this was an approach with high safety and few complications, similar to the half-volume-plasma PE+DPMAS treatment. The small-volume-plasma PE+DPMAS has the advantage of greatly reducing the need for intraoperative plasma, which is especially of importance in times of shortage of plasma.
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Affiliation(s)
- D Li
- The First Affiliated Hospital of Kunming Medical University, Yunnan, Kunming, China.
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Yang F, Zhuang Z, Liu C, Li F, Zhou J. Overexpression of circZNF720 Inhibits Hepatocellular Carcinoma Progression by Regulating miR-421/MAPK9. Mol Biotechnol 2023:10.1007/s12033-023-01016-2. [PMID: 38159171 DOI: 10.1007/s12033-023-01016-2] [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: 06/26/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024]
Abstract
Hepatocellular carcinoma (HCC) is characterized by high incidence, high death rate and poor long term prognosis. Abnormal expression of circular RNA (circRNA) has been demonstrated to be closely associated with malignant progression of HCC. However, the effect of circZNF720 on HCC is largely incompletely understood. This study sought to explore the effect of circZNF720 on the progression of HCC by CCK-8, transwell, and flow cytometry experiments. The prognosis of circZNF720 on patients was analyzed by Kaplan-Meier curve. Then, the regulatory mechanisms among circZNF720, miR-421, and MAPK9 were identified by qRT-PCR, dual-luciferase reporter assay, and RIP analysis, respectively. The outcomes of this study disclosed that circZNF720 was lowly expressed in HCC, and this low expression was strongly linked with a poor prognosis for HCC patients. Overexpression of circZNF720 inhibited the proliferation, migration, and invasion of cells, and increased the apoptosis of cells. Mechanistic studies revealed that circZNF720 targeted miR-421 and regulated the development of HCC by acting as a sponge for miRNAs. In addition, MAPK9 was a downstream target of miR-421, and circZNF720 introduction hampered HCC progression by upregulating MAPK9 expression through sponging miR-421. In conclusion, circZNF720 restrained HCC progression by targeting miR-421/MAPK9. This study provides a novel target for the treatment of HCC.
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Affiliation(s)
- Feifei Yang
- Department of Pathology, Anqiu People's Hospital, No. 159 Xuefu street, Anqiu, Weifang, 262100, Shandong, China
| | - Zhenjuan Zhuang
- Department of Pathology, Anqiu People's Hospital, No. 159 Xuefu street, Anqiu, Weifang, 262100, Shandong, China
| | - Chunying Liu
- Department of Ultrasonic Diagnosis, Anqiu people's Hospital, Anqiu, 262100, Shandong, China
| | - Fuliang Li
- Department of Pathology, Anqiu People's Hospital, No. 159 Xuefu street, Anqiu, Weifang, 262100, Shandong, China
| | - Jingjing Zhou
- Department of Pathology, Anqiu People's Hospital, No. 159 Xuefu street, Anqiu, Weifang, 262100, Shandong, China.
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Lin J, Li B, Xu Q, Liu YS, Kang YL, Wang X, Wang Y, Lei Y, Bai YL, Li XM, Zhou J. DACH1 attenuated PA-induced renal tubular injury through TLR4/MyD88/NF-κB and TGF-β/Smad signalling pathway. J Endocrinol Invest 2023:10.1007/s40618-023-02253-7. [PMID: 38147289 DOI: 10.1007/s40618-023-02253-7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 11/20/2023] [Indexed: 12/27/2023]
Abstract
BACKGROUND Palmitic acid (PA), the major saturated fatty acid in the blood, often induces the initiation and progression of diabetic kidney disease (DKD). However, the underlying mechanism remains unclear. DACH1 is an important regulator of kidney functions. Herein, we investigated the roles of DACH1 in PA-induced kidney injury. METHODS Clinical data from the NHANES database were subjected to analyse the association between serum PA (sPA), blood glucose and kidney function. Molecular docking of PA was performed with DACH1. Immunohistochemistry, cell viability, annexin V/7-AAD double staining, TUNEL assay, immunofluorescent staining, autophagic flux analysis, qRT-PCR and western blot were performed. RESULTS Clinical data confirmed that sPA was increased significantly in the pathoglycemia individuals compared with controls and correlated negatively with renal function. Our findings suggested that PA could dock with DACH1. DACH1 enhances cell viability by inhibiting apoptosis and attenuating autophagy blockage induced by PA. Furthermore, the results demonstrated that DACH1 ameliorated inflammation and fibrosis through TLR4/MyD88/NF-κB and TGF-β/Smad signalling pathway in PA-treated renal tubular epithelial cell line (HK-2). CONCLUSIONS This study proved that sPA presents a risk factor for kidney injuries and DACH1 might serve as a protective target against renal function deterioration in diabetic patients.
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Affiliation(s)
- J Lin
- Department of Endocrinology, Xijing Hospital, Air Force Medical University, No.127 Changle West Road, Xi'an, 710032, China
| | - B Li
- Department of Endocrinology, Xijing Hospital, Air Force Medical University, No.127 Changle West Road, Xi'an, 710032, China
| | - Q Xu
- Department of Endocrinology, Xijing Hospital, Air Force Medical University, No.127 Changle West Road, Xi'an, 710032, China
| | - Y S Liu
- Department of Pharmacology, Key Laboratory of Gastrointestinal Pharmacology of Chinese Materia Medical of the State Administration of Traditional Chinese Medicine, School of Pharmacy, Air Force Medical University, Xi'an, 710032, China
| | - Y L Kang
- Department of Microbiology and Pathogen Biology, School of Preclinical Medicine, Air Force Medical University, Xi'an, 710032, China
| | - X Wang
- Department of Endocrinology, Xijing Hospital, Air Force Medical University, No.127 Changle West Road, Xi'an, 710032, China
| | - Y Wang
- Department of Endocrinology, Xijing Hospital, Air Force Medical University, No.127 Changle West Road, Xi'an, 710032, China
| | - Y Lei
- The Second Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, 712099, China
| | - Y L Bai
- Department of Microbiology and Pathogen Biology, School of Preclinical Medicine, Air Force Medical University, Xi'an, 710032, China.
| | - X M Li
- Department of Endocrinology, Xijing Hospital, Air Force Medical University, No.127 Changle West Road, Xi'an, 710032, China.
| | - J Zhou
- Department of Endocrinology, Xijing Hospital, Air Force Medical University, No.127 Changle West Road, Xi'an, 710032, China.
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McClain SP, Ma X, Johnson DA, Johnson CA, Layden AE, Yung JC, Lubejko ST, Livrizzi G, He XJ, Zhou J, Chang-Weinberg J, Ventriglia E, Rizzo A, Levinstein M, Gomez JL, Bonaventura J, Michaelides M, Banghart MR. In vivo photopharmacology with light-activated opioid drugs. Neuron 2023; 111:3926-3940.e10. [PMID: 37848025 DOI: 10.1016/j.neuron.2023.09.017] [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: 11/16/2022] [Revised: 08/02/2023] [Accepted: 09/14/2023] [Indexed: 10/19/2023]
Abstract
Traditional methods for site-specific drug delivery in the brain are slow, invasive, and difficult to interface with recordings of neural activity. Here, we demonstrate the feasibility and experimental advantages of in vivo photopharmacology using "caged" opioid drugs that are activated in the brain with light after systemic administration in an inactive form. To enable bidirectional manipulations of endogenous opioid receptors in vivo, we developed photoactivatable oxymorphone (PhOX) and photoactivatable naloxone (PhNX), photoactivatable variants of the mu opioid receptor agonist oxymorphone and the antagonist naloxone. Photoactivation of PhOX in multiple brain areas produced local changes in receptor occupancy, brain metabolic activity, neuronal calcium activity, neurochemical signaling, and multiple pain- and reward-related behaviors. Combining PhOX photoactivation with optical recording of extracellular dopamine revealed adaptations in the opioid sensitivity of mesolimbic dopamine circuitry in response to chronic morphine administration. This work establishes a general experimental framework for using in vivo photopharmacology to study the neural basis of drug action.
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Affiliation(s)
- Shannan P McClain
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA; Neurosciences Graduate Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Xiang Ma
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Desiree A Johnson
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Caroline A Johnson
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Aryanna E Layden
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Jean C Yung
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Susan T Lubejko
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA; Neurosciences Graduate Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Giulia Livrizzi
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA; Biological Sciences Graduate Program, University of California San Diego, La Jolla, CA 92093, USA
| | - X Jenny He
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA; Biological Sciences Graduate Program, University of California San Diego, La Jolla, CA 92093, USA
| | - Jingjing Zhou
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Janie Chang-Weinberg
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
| | - Emilya Ventriglia
- Biobehavioral Imaging and Molecular, Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD 21224, USA
| | - Arianna Rizzo
- Departament de Patologia i Terapèutica Experimental, Institut de Neurociències, Universitat de Barcelona, L'Hospitalet de Llobregat 08907, Catalonia, Spain; Neuropharmacology and Pain Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge, IDIBELL, L'Hospitalet de Llobregat 08907, Catalonia, Spain
| | - Marjorie Levinstein
- Biobehavioral Imaging and Molecular, Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD 21224, USA
| | - Juan L Gomez
- Biobehavioral Imaging and Molecular, Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD 21224, USA
| | - Jordi Bonaventura
- Departament de Patologia i Terapèutica Experimental, Institut de Neurociències, Universitat de Barcelona, L'Hospitalet de Llobregat 08907, Catalonia, Spain; Neuropharmacology and Pain Group, Neuroscience Program, Institut d'Investigació Biomèdica de Bellvitge, IDIBELL, L'Hospitalet de Llobregat 08907, Catalonia, Spain
| | - Michael Michaelides
- Biobehavioral Imaging and Molecular, Neuropsychopharmacology Unit, National Institute on Drug Abuse Intramural Research Program, Baltimore, MD 21224, USA
| | - Matthew R Banghart
- Department of Neurobiology, School of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA.
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Zhou J, Wang H, Zhao Y, Shao J, Jiang M, Yue S, Lin L, Wang L, Xu Q, Guo X, Li X, Liu Z, Chen Y, Zhang R. Short-Term Mortality Among Pediatric Patients With Heart Diseases Undergoing Veno-Arterial Extracorporeal Membrane Oxygenation: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2023; 12:e029571. [PMID: 38063152 PMCID: PMC10863771 DOI: 10.1161/jaha.123.029571] [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: 01/21/2023] [Accepted: 11/08/2023] [Indexed: 12/20/2023]
Abstract
BACKGROUND Veno-arterial extracorporeal membrane oxygenation serves as a crucial mechanical circulatory support for pediatric patients with severe heart diseases, but the mortality rate remains high. The objective of this study was to assess the short-term mortality in these patients. METHODS AND RESULTS We systematically searched PubMed, Embase, and Cochrane Library for observational studies that evaluated the short-term mortality of pediatric patients undergoing veno-arterial extracorporeal membrane oxygenation. To estimate short-term mortality, we used random-effects meta-analysis. Furthermore, we conducted meta-regression and binomial regression analyses to investigate the risk factors associated with the outcome of interest. We systematically reviewed 28 eligible references encompassing a total of 1736 patients. The pooled analysis demonstrated a short-term mortality (defined as in-hospital or 30-day mortality) of 45.6% (95% CI, 38.7%-52.4%). We found a significant difference (P<0.001) in mortality rates between acute fulminant myocarditis and congenital heart disease, with acute fulminant myocarditis exhibiting a lower mortality rate. Our findings revealed a negative correlation between older age and weight and short-term mortality in patients undergoing veno-arterial extracorporeal membrane oxygenation. Male sex, bleeding, renal damage, and central cannulation were associated with an increased risk of short-term mortality. CONCLUSIONS The short-term mortality among pediatric patients undergoing veno-arterial extracorporeal membrane oxygenation for severe heart diseases was 45.6%. Patients with acute fulminant myocarditis exhibited more favorable survival rates compared with those with congenital heart disease. Several risk factors, including male sex, bleeding, renal damage, and central cannulation contributed to an increased risk of short-term mortality. Conversely, older age and greater weight appeared to be protective factors.
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Affiliation(s)
- Jingjing Zhou
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Haiming Wang
- Department of EndocrinologyChinese PLA Central Theater Command General HospitalWuhanChina
| | - Yunzhang Zhao
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Junjie Shao
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Min Jiang
- Department of Respiratory and Critical CareThe Eighth Medical Center of Chinese PLA General HospitalBeijingChina
| | - Shuai Yue
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Lejian Lin
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Lin Wang
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Qiang Xu
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Xinhong Guo
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Xin Li
- Department of Health ServicesThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Zifan Liu
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Yundai Chen
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
| | - Ran Zhang
- Department of Cardiovascular MedicineChinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
- State Key Laboratory of Kidney Diseases, Chinese PLA General Hospital & Chinese PLA Medical SchoolBeijingChina
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Zhou J, Yang M, Wang F, Liu S, Hei M, Jiang M. Assessment of food supplements for the prevention of necrotizing enterocolitis in preterm neonates: A systematic review and network meta-analysis. Comput Biol Med 2023; 167:107601. [PMID: 37924642 DOI: 10.1016/j.compbiomed.2023.107601] [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: 07/06/2023] [Revised: 09/14/2023] [Accepted: 10/17/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND The network meta-analysis (NMA) investigated the efficacy of six food supplements, namely glutamine, arginine, lactoferrin, prebiotics, synbiotics, and probiotics, in preventing necrotizing enterocolitis in premature infants. METHODS MEDLINE, Embase, and Cochrane Library were searched. Randomized controlled trials comparing different food supplements for premature infants were included. RESULTS Probiotics (OR, 0.47; 95% CrI, 0.33-0.63), arginine (OR, 0.38; 95% CrI, 0.14-0.98), glutamine (OR, 0.30; 95% CrI, 0.079-0.90), and synbiotics (OR, 0.13; 95% CrI, 0.037-0.37). were associated with a decreased incidence of NEC. Only probiotics (OR, 0.81; 95% CrI, 0.69-0.95) and lactoferrin (OR, 0.74; 95% CrI, 0.54-0.92) achieved lower risk of sepsis. Probiotics (OR, 0.58; 95% CrI, 0.40-0.79), prebiotics (OR, 0.23; 95% CrI, 0.043-0.86), and synbiotics (OR, 0.15; 95% CrI, 0.035-0.50) were associated with lower odds of mortality. Probiotics (MD, -2.3; 95% CrI: -3.7- -0.63) appeared to have earlier age of attainment of full feeding. CONCLUSIONS Based on this NMA, probiotics and synbiotics had the potential to be the top two preferable food supplements.
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Affiliation(s)
- Jingjing Zhou
- Department of Neonatology, Neonatal Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China
| | - Mengyang Yang
- Department of Neonatology, Neonatal Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China
| | - Fuming Wang
- Department of Neonatology, Kaifeng Children's Hospital, 87 Middle Section of Freedom Road, Kaifeng City, Henan Province, China
| | - Shiqi Liu
- Department of Neonatology, Neonatal Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China
| | - Mingyan Hei
- Department of Neonatology, Neonatal Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China
| | - Min Jiang
- Department of Neonatology, Neonatal Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, 56 Nanlishi Road, Xicheng District, Beijing, China.
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Zhou Y, Tang L, Tong Y, Huang J, Wang J, Zhang Y, Jiang H, Xu N, Gong Y, Yin J, Jiang Q, Zhou J, Zhou Y. [Spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti- Schistosoma antibody in Hunan Province in 2020]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2023; 35:444-450. [PMID: 38148532 DOI: 10.16250/j.32.1374.2023103] [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] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
OBJECTIVE To investigate the spatial distribution characteristics of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody, and to examine the correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, so as to provide insights into advanced schistosomiais control in the province. METHODS The epidemiological data of schistosomiasis in Hunan Province in 2020 were collected, including number of permanent residents in survey villages, number of advanced schistosomiasis patients, number of residents receiving serological tests and number of residents seropositive for anti-Schistosoma antibody, and the prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were descriptively analyzed. Village-based spatial distribution characteristics of prevalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody were identified in Hunan Province in 2020, and the correlation between the revalence advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody was examined using Spearman correlation analysis. RESULTS The prevalence of advanced schistosomiasis was 0 to 2.72% and the seroprevalence of anti-Schistosoma antibody was 0 to 20.25% in 1 153 schistosomiasis-endemic villages in Hunan Province in 2020. Spatial clusters were identified in both the prevalence of advanced schistosomiasis (global Moran's I = 0.416, P < 0.01) and the seroprevalence of anti-Schistosoma antibody (global Moran's I = 0.711, P < 0.01) in Hunan Province. Local spatial autocorrelation analysis identified 98 schistosomiasis-endemic villages with high-high clusters of the prevalence of advanced schistosomiasis, 134 endemic villages with high-high clusters of the seroprevalence of anti-Schistosoma antibody and 36 endemic villages with high-high clusters of both the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province. In addition, spearman correlation analysis showed a positive correlation between the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody (rs = 0.235, P < 0.05). CONCLUSIONS There were spatial clusters of the prevalence of advanced schistosomiasis and seroprevalence of anti-Schistosoma antibody in Hunan Province in 2020, which were predominantly located in areas neighboring the Dongting Lake. These clusters should be given a high priority in the schistosomiasis control programs.
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Affiliation(s)
- Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - L Tang
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Tong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Huang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Wang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - H Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - N Xu
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Y Gong
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Yin
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - Q Jiang
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
| | - J Zhou
- Hunan Institute of Schistosomiasis Control, Yueyang, Hunan 414000, China
| | - Y Zhou
- Department of Epidemiology, School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Tropical Disease Research Center, Fudan University, Shanghai 200032, China
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Mai L, Wen Z, Zhang Y, Gao Y, Lin G, Lian Z, Yang X, Zhou J, Lin X, Luo C, Peng W, Chen C, Peng J, Liu D, Marjani SL, Tao Q, Cui Y, Zhang J, Wu X, Weissman SM, Pan X. Shortcut barcoding and early pooling for scalable multiplex single-cell reduced-representation CpG methylation sequencing at single nucleotide resolution. Nucleic Acids Res 2023; 51:e108. [PMID: 37870443 PMCID: PMC10681715 DOI: 10.1093/nar/gkad892] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 09/25/2023] [Accepted: 10/04/2023] [Indexed: 10/24/2023] Open
Abstract
DNA methylation is essential for a wide variety of biological processes, yet the development of a highly efficient and robust technology remains a challenge for routine single-cell analysis. We developed a multiplex scalable single-cell reduced representation bisulfite sequencing (msRRBS) technology. It allows cell-specific barcoded DNA fragments of individual cells to be pooled before bisulfite conversion, free of enzymatic modification or physical capture of the DNA ends, and achieves read mapping rates of 62.5 ± 3.9%, covering 60.0 ± 1.4% of CpG islands and 71.6 ± 1.6% of promoters in K562 cells. Its reproducibility is shown in duplicates of bulk cells with close to perfect correlation (R = 0.97-0.99). At a low 1 Mb of clean reads, msRRBS provides highly consistent coverage of CpG islands and promoters, outperforming the conventional methods with orders of magnitude reduction in cost. Here, we use this method to characterize the distinct methylation patterns and cellular heterogeneity of six cell lines, plus leukemia and hepatocellular carcinoma models. Taking 4 h of hands-on time, msRRBS offers a unique, highly efficient approach for dissecting methylation heterogeneity in a variety of multicellular systems.
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Affiliation(s)
- Liyao Mai
- Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, Guangdong Province, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Zebin Wen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Yulong Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Yu Gao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Guanchuan Lin
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Zhiwei Lian
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Xiang Yang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Jingjing Zhou
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Xianwei Lin
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- SequMed Institute of Biomedical Sciences, Guangzhou 510530, Guangdong Province, China
| | - Chaochao Luo
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Wanwan Peng
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Caiming Chen
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Jiajia Peng
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Duolian Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
| | - Sadie L Marjani
- Department of Biology, Central Connecticut State University, New Britain, CT 06050, USA
| | - Qian Tao
- Cancer Epigenetics Laboratory, Department of Clinical Oncology, State Key Laboratory of Oncology in South China, Sir YK Pao Center for Cancer and Li Ka Shing Institute of Health Sciences, Chinese University of Hong Kong, 999077 Hong Kong, China
| | - Yongping Cui
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518035, Guangdong, China
| | - Junxiao Zhang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- SequMed Institute of Biomedical Sciences, Guangzhou 510530, Guangdong Province, China
| | - Xuedong Wu
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
| | - Sherman M Weissman
- Department of Genetics, Yale School of Medicine, New Haven, CT 06520, USA
| | - Xinghua Pan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, and Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Guangzhou 510515, Guangdong Province, China
- Department of Hepatobiliary Surgery II, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, Guangdong Province, China
- Department of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong Province, China
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518035, Guangdong, China
- Key Laboratory of Mental Health of the Ministry of Education, Southern Medical University, Guangzhou 510515, Guangdong Province, China
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Abdulhamid MI, Aboona BE, Adam J, Adams JR, Agakishiev G, Aggarwal I, Aggarwal MM, Ahammed Z, Aitbaev A, Alekseev I, Anderson DM, Aparin A, Aslam S, Atchison J, Averichev GS, Bairathi V, Baker W, Cap JGB, Barish K, Bhagat P, Bhasin A, Bhatta S, Bordyuzhin IG, Brandenburg JD, Brandin AV, Cai XZ, Caines H, Sánchez MCDLB, Cebra D, Ceska J, Chakaberia I, Chan BK, Chang Z, Chatterjee A, Chen D, Chen J, Chen JH, Chen Z, Cheng J, Cheng Y, Choudhury S, Christie W, Chu X, Crawford HJ, Dale-Gau G, Das A, Daugherity M, Dedovich TG, Deppner IM, Derevschikov AA, Dhamija A, Di Carlo L, Dixit P, Dong X, Drachenberg JL, Duckworth E, Dunlop JC, Engelage J, Eppley G, Esumi S, Evdokimov O, Ewigleben A, Eyser O, Fatemi R, Fazio S, Feng CJ, Feng Y, Finch E, Fisyak Y, Flor FA, Fu C, Gao T, Geurts F, Ghimire N, Gibson A, Gopal K, Gou X, Grosnick D, Gupta A, Hamed A, Han Y, Harasty MD, Harris JW, Harrison-Smith H, He W, He XH, He Y, Hu C, Hu Q, Hu Y, Huang H, Huang HZ, Huang SL, Huang T, Huang X, Huang Y, Huang Y, Humanic TJ, Isenhower D, Isshiki M, Jacobs WW, Jalotra A, Jena C, Ji Y, Jia J, Jin C, Ju X, Judd EG, Kabana S, Kabir ML, Kalinkin D, Kang K, Kapukchyan D, Kauder K, Keane D, Kechechyan A, Kelsey M, Kimelman B, Kiselev A, Knospe AG, Ko HS, Kochenda L, Korobitsin AA, Kravtsov P, Kumar L, Kumar S, Elayavalli RK, Lacey R, Landgraf JM, Lebedev A, Lednicky R, Lee JH, Leung YH, Lewis N, Li C, Li W, Li X, Li Y, Li Y, Li Z, Liang X, Liang Y, Lin T, Liu C, Liu F, Liu G, Liu H, Liu H, Liu L, Liu T, Liu X, Liu Y, Liu Z, Ljubicic T, Llope WJ, Lomicky O, Longacre RS, Loyd EM, Lu T, Lukow NS, Luo XF, Luong VB, Ma L, Ma R, Ma YG, Magdy N, Mallick D, Margetis S, Matis HS, Mazer JA, McNamara G, Mi K, Minaev NG, Mohanty B, Mondal MM, Mooney I, Morozov DA, Mudrokh A, Nagy MI, Nain AS, Nam JD, Nasim M, Neff D, Nelson JM, Nemes DB, Nie M, Nigmatkulov G, Niida T, Nishitani R, Nogach LV, Nonaka T, Odyniec G, Ogawa A, Oh S, Okorokov VA, Okubo K, Page BS, Pak R, Pan J, Pandav A, Pandey AK, Panebratsev Y, Pani T, Parfenov P, Paul A, Perkins C, Pokhrel BR, Posik M, Protzman T, Pruthi NK, Putschke J, Qin Z, Qiu H, Quintero A, Racz C, Radhakrishnan SK, Raha N, Ray RL, Ritter HG, Robertson CW, Rogachevsky OV, Aguilar MAR, Roy D, Ruan L, Sahoo AK, Sahoo NR, Sako H, Salur S, Samigullin E, Sato S, Schmidke WB, Schmitz N, Seger J, Seto R, Seyboth P, Shah N, Shahaliev E, Shanmuganathan PV, Shao T, Sharma M, Sharma N, Sharma R, Sharma SR, Sheikh AI, Shen D, Shen DY, Shen K, Shi SS, Shi Y, Shou QY, Si F, Singh J, Singha S, Sinha P, Skoby MJ, Söhngen Y, Song Y, Srivastava B, Stanislaus TDS, Stewart DJ, Strikhanov M, Stringfellow B, Su Y, Sun C, Sun X, Sun Y, Sun Y, Surrow B, Svirida DN, Sweger ZW, Tamis A, Tang AH, Tang Z, Taranenko A, Tarnowsky T, Thomas JH, Tlusty D, Todoroki T, Tokarev MV, Tomkiel CA, Trentalange S, Tribble RE, Tribedy P, Tsai OD, Tsang CY, Tu Z, Tyler J, Ullrich T, Underwood DG, Upsal I, Van Buren G, Vasiliev AN, Verkest V, Videbæk F, Vokal S, Voloshin SA, Wang F, Wang G, Wang JS, Wang J, Wang X, Wang Y, Wang Y, Wang Y, Wang Z, Webb JC, Weidenkaff PC, Westfall GD, Wieman H, Wilks G, Wissink SW, Wu J, Wu J, Wu X, Wu X, Wu Y, Xi B, Xiao ZG, Xie G, Xie W, Xu H, Xu N, Xu QH, Xu Y, Xu Y, Xu Z, Xu Z, Yan G, Yan Z, Yang C, Yang Q, Yang S, Yang Y, Ye Z, Ye Z, Yi L, Yip K, Yu Y, Zha W, Zhang C, Zhang D, Zhang J, Zhang S, Zhang W, Zhang X, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang ZJ, Zhang Z, Zhang Z, Zhao F, Zhao J, Zhao M, Zhou C, Zhou J, Zhou S, Zhou Y, Zhu X, Zurek M, Zyzak M. Hyperon Polarization along the Beam Direction Relative to the Second and Third Harmonic Event Planes in Isobar Collisions at sqrt[s_{NN}]=200 GeV. Phys Rev Lett 2023; 131:202301. [PMID: 38039468 DOI: 10.1103/physrevlett.131.202301] [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: 03/16/2023] [Revised: 07/07/2023] [Accepted: 10/03/2023] [Indexed: 12/03/2023]
Abstract
The polarization of Λ and Λ[over ¯] hyperons along the beam direction has been measured relative to the second and third harmonic event planes in isobar Ru+Ru and Zr+Zr collisions at sqrt[s_{NN}]=200 GeV. This is the first experimental evidence of the hyperon polarization by the triangular flow originating from the initial density fluctuations. The amplitudes of the sine modulation for the second and third harmonic results are comparable in magnitude, increase from central to peripheral collisions, and show a mild p_{T} dependence. The azimuthal angle dependence of the polarization follows the vorticity pattern expected due to elliptic and triangular anisotropic flow, and qualitatively disagrees with most hydrodynamic model calculations based on thermal vorticity and shear induced contributions. The model results based on one of existing implementations of the shear contribution lead to a correct azimuthal angle dependence, but predict centrality and p_{T} dependence that still disagree with experimental measurements. Thus, our results provide stringent constraints on the thermal vorticity and shear-induced contributions to hyperon polarization. Comparison to previous measurements at RHIC and the LHC for the second-order harmonic results shows little dependence on the collision system size and collision energy.
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Affiliation(s)
| | - B E Aboona
- Texas A&M University, College Station, Texas 77843
| | - J Adam
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - J R Adams
- The Ohio State University, Columbus, Ohio 43210
| | - G Agakishiev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Aggarwal
- Panjab University, Chandigarh 160014, India
| | | | - Z Ahammed
- Variable Energy Cyclotron Centre, Kolkata 700064, India
| | - A Aitbaev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I Alekseev
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
- National Research Nuclear University MEPhI, Moscow 115409
| | - D M Anderson
- Texas A&M University, College Station, Texas 77843
| | - A Aparin
- Joint Institute for Nuclear Research, Dubna 141 980
| | - S Aslam
- Indian Institute Technology, Patna, Bihar 801106, India
| | - J Atchison
- Abilene Christian University, Abilene, Texas 79699
| | | | - V Bairathi
- Instituto de Alta Investigación, Universidad de Tarapacá, Arica 1000000, Chile
| | - W Baker
- University of California, Riverside, California 92521
| | | | - K Barish
- University of California, Riverside, California 92521
| | - P Bhagat
- University of Jammu, Jammu 180001, India
| | - A Bhasin
- University of Jammu, Jammu 180001, India
| | - S Bhatta
- State University of New York, Stony Brook, New York 11794
| | - I G Bordyuzhin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | | | - A V Brandin
- National Research Nuclear University MEPhI, Moscow 115409
| | - X Z Cai
- Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800
| | - H Caines
- Yale University, New Haven, Connecticut 06520
| | | | - D Cebra
- University of California, Davis, California 95616
| | - J Ceska
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - I Chakaberia
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - B K Chan
- University of California, Los Angeles, California 90095
| | - Z Chang
- Indiana University, Bloomington, Indiana 47408
| | - A Chatterjee
- National Institute of Technology Durgapur, Durgapur-713209, India
| | - D Chen
- University of California, Riverside, California 92521
| | - J Chen
- Shandong University, Qingdao, Shandong 266237
| | - J H Chen
- Fudan University, Shanghai, 200433
| | - Z Chen
- Shandong University, Qingdao, Shandong 266237
| | - J Cheng
- Tsinghua University, Beijing 100084
| | - Y Cheng
- University of California, Los Angeles, California 90095
| | | | - W Christie
- Brookhaven National Laboratory, Upton, New York 11973
| | - X Chu
- Brookhaven National Laboratory, Upton, New York 11973
| | - H J Crawford
- University of California, Berkeley, California 94720
| | - G Dale-Gau
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - A Das
- Czech Technical University in Prague, FNSPE, Prague 115 19, Czech Republic
| | - M Daugherity
- Abilene Christian University, Abilene, Texas 79699
| | - T G Dedovich
- Joint Institute for Nuclear Research, Dubna 141 980
| | - I M Deppner
- University of Heidelberg, Heidelberg 69120, Germany
| | - A A Derevschikov
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - A Dhamija
- Panjab University, Chandigarh 160014, India
| | - L Di Carlo
- Wayne State University, Detroit, Michigan 48201
| | - P Dixit
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - X Dong
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | - J C Dunlop
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Engelage
- University of California, Berkeley, California 94720
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| | - S Esumi
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| | - O Evdokimov
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| | - A Ewigleben
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- University of Calabria & INFN-Cosenza, Rende 87036, Italy
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| | - C Fu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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| | - N S Lukow
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- Joint Institute for Nuclear Research, Dubna 141 980
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- Brookhaven National Laboratory, Upton, New York 11973
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| | - D Mallick
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
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| | - B Mohanty
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - M M Mondal
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - I Mooney
- Yale University, New Haven, Connecticut 06520
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- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
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- Joint Institute for Nuclear Research, Dubna 141 980
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- ELTE Eötvös Loránd University, Budapest, Hungary H-1117
| | - A S Nain
- Panjab University, Chandigarh 160014, India
| | - J D Nam
- Temple University, Philadelphia, Pennsylvania 19122
| | - M Nasim
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - D Neff
- University of California, Los Angeles, California 90095
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- University of California, Berkeley, California 94720
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- Shandong University, Qingdao, Shandong 266237
| | - G Nigmatkulov
- University of Illinois at Chicago, Chicago, Illinois 60607
| | - T Niida
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - R Nishitani
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - L V Nogach
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
| | - T Nonaka
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - G Odyniec
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Brookhaven National Laboratory, Upton, New York 11973
| | - S Oh
- Sejong University, Seoul 05006, South Korea
| | - V A Okorokov
- National Research Nuclear University MEPhI, Moscow 115409
| | - K Okubo
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - B S Page
- Brookhaven National Laboratory, Upton, New York 11973
| | - R Pak
- Brookhaven National Laboratory, Upton, New York 11973
| | - J Pan
- Texas A&M University, College Station, Texas 77843
| | - A Pandav
- National Institute of Science Education and Research, HBNI, Jatni 752050, India
| | - A K Pandey
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | | | - T Pani
- Rutgers University, Piscataway, New Jersey 08854
| | - P Parfenov
- National Research Nuclear University MEPhI, Moscow 115409
| | - A Paul
- University of California, Riverside, California 92521
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- University of California, Berkeley, California 94720
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- Temple University, Philadelphia, Pennsylvania 19122
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- Temple University, Philadelphia, Pennsylvania 19122
| | - T Protzman
- Lehigh University, Bethlehem, Pennsylvania 18015
| | - N K Pruthi
- Panjab University, Chandigarh 160014, India
| | - J Putschke
- Wayne State University, Detroit, Michigan 48201
| | - Z Qin
- Tsinghua University, Beijing 100084
| | - H Qiu
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - A Quintero
- Temple University, Philadelphia, Pennsylvania 19122
| | - C Racz
- University of California, Riverside, California 92521
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- University of Texas, Austin, Texas 78712
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | | | | | | | - D Roy
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| | - L Ruan
- Brookhaven National Laboratory, Upton, New York 11973
| | - A K Sahoo
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - N R Sahoo
- Texas A&M University, College Station, Texas 77843
| | - H Sako
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - S Salur
- Rutgers University, Piscataway, New Jersey 08854
| | - E Samigullin
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - S Sato
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - W B Schmidke
- Brookhaven National Laboratory, Upton, New York 11973
| | - N Schmitz
- Max-Planck-Institut für Physik, Munich 80805, Germany
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- Creighton University, Omaha, Nebraska 68178
| | - R Seto
- University of California, Riverside, California 92521
| | - P Seyboth
- Max-Planck-Institut für Physik, Munich 80805, Germany
| | - N Shah
- Indian Institute Technology, Patna, Bihar 801106, India
| | - E Shahaliev
- Joint Institute for Nuclear Research, Dubna 141 980
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- Fudan University, Shanghai, 200433
| | - M Sharma
- University of Jammu, Jammu 180001, India
| | - N Sharma
- Indian Institute of Science Education and Research (IISER), Berhampur 760010, India
| | - R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - S R Sharma
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
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- Shandong University, Qingdao, Shandong 266237
| | - D Y Shen
- Fudan University, Shanghai, 200433
| | - K Shen
- University of Science and Technology of China, Hefei, Anhui 230026
| | - S S Shi
- Central China Normal University, Wuhan, Hubei 430079
| | - Y Shi
- Shandong University, Qingdao, Shandong 266237
| | - Q Y Shou
- Fudan University, Shanghai, 200433
| | - F Si
- University of Science and Technology of China, Hefei, Anhui 230026
| | - J Singh
- Panjab University, Chandigarh 160014, India
| | - S Singha
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - P Sinha
- Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517507, India
| | - M J Skoby
- Ball State University, Muncie, Indiana 47306
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| | - Y Söhngen
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| | - B Srivastava
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| | | | - D J Stewart
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- National Research Nuclear University MEPhI, Moscow 115409
| | | | - Y Su
- University of Science and Technology of China, Hefei, Anhui 230026
| | - C Sun
- State University of New York, Stony Brook, New York 11794
| | - X Sun
- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
| | - Y Sun
- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Sun
- Huzhou University, Huzhou, Zhejiang 313000
| | - B Surrow
- Temple University, Philadelphia, Pennsylvania 19122
| | - D N Svirida
- Alikhanov Institute for Theoretical and Experimental Physics NRC "Kurchatov Institute," Moscow 117218
| | - Z W Sweger
- University of California, Davis, California 95616
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- Brookhaven National Laboratory, Upton, New York 11973
| | - Z Tang
- University of Science and Technology of China, Hefei, Anhui 230026
| | - A Taranenko
- National Research Nuclear University MEPhI, Moscow 115409
| | - T Tarnowsky
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| | - J H Thomas
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
| | - D Tlusty
- Creighton University, Omaha, Nebraska 68178
| | - T Todoroki
- University of Tsukuba, Tsukuba, Ibaraki 305-8571, Japan
| | - M V Tokarev
- Joint Institute for Nuclear Research, Dubna 141 980
| | - C A Tomkiel
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- University of California, Los Angeles, California 90095
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- Brookhaven National Laboratory, Upton, New York 11973
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- Brookhaven National Laboratory, Upton, New York 11973
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| | - I Upsal
- University of Science and Technology of China, Hefei, Anhui 230026
| | - G Van Buren
- Brookhaven National Laboratory, Upton, New York 11973
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- National Research Nuclear University MEPhI, Moscow 115409
- NRC "Kurchatov Institute," Institute of High Energy Physics, Protvino 142281
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- Wayne State University, Detroit, Michigan 48201
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- Brookhaven National Laboratory, Upton, New York 11973
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- Joint Institute for Nuclear Research, Dubna 141 980
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- Purdue University, West Lafayette, Indiana 47907
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- University of California, Los Angeles, California 90095
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- Huzhou University, Huzhou, Zhejiang 313000
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- Shandong University, Qingdao, Shandong 266237
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- Shandong University, Qingdao, Shandong 266237
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- University of Science and Technology of China, Hefei, Anhui 230026
| | - Y Wang
- Central China Normal University, Wuhan, Hubei 430079
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- Tsinghua University, Beijing 100084
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- Shandong University, Qingdao, Shandong 266237
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- Brookhaven National Laboratory, Upton, New York 11973
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- Michigan State University, East Lansing, Michigan 48824
| | - H Wieman
- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Indiana University, Bloomington, Indiana 47408
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- Central China Normal University, Wuhan, Hubei 430079
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- University of California, Los Angeles, California 90095
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- University of Science and Technology of China, Hefei, Anhui 230026
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- University of California, Riverside, California 92521
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- Fudan University, Shanghai, 200433
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- University of Chinese Academy of Sciences, Beijing 101408
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- Purdue University, West Lafayette, Indiana 47907
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- Huzhou University, Huzhou, Zhejiang 313000
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- Lawrence Berkeley National Laboratory, Berkeley, California 94720
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- Shandong University, Qingdao, Shandong 266237
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- Shandong University, Qingdao, Shandong 266237
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- Central China Normal University, Wuhan, Hubei 430079
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of California, Los Angeles, California 90095
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- Shandong University, Qingdao, Shandong 266237
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- State University of New York, Stony Brook, New York 11794
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- Shandong University, Qingdao, Shandong 266237
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- South China Normal University, Guangzhou, Guangdong 510631
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- Rice University, Houston, Texas 77251
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Shandong University, Qingdao, Shandong 266237
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- Brookhaven National Laboratory, Upton, New York 11973
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- Shandong University, Qingdao, Shandong 266237
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- University of Science and Technology of China, Hefei, Anhui 230026
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- State University of New York, Stony Brook, New York 11794
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- Shandong University, Qingdao, Shandong 266237
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- University of Science and Technology of China, Hefei, Anhui 230026
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- South China Normal University, Guangzhou, Guangdong 510631
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- University of Science and Technology of China, Hefei, Anhui 230026
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- Shandong University, Qingdao, Shandong 266237
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- Central China Normal University, Wuhan, Hubei 430079
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- National Cheng Kung University, Tainan 70101
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- Brookhaven National Laboratory, Upton, New York 11973
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- University of Illinois at Chicago, Chicago, Illinois 60607
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- Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou, Gansu 730000
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- Fudan University, Shanghai, 200433
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- Brookhaven National Laboratory, Upton, New York 11973
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- Fudan University, Shanghai, 200433
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- University of Science and Technology of China, Hefei, Anhui 230026
| | - S Zhou
- Central China Normal University, Wuhan, Hubei 430079
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- Central China Normal University, Wuhan, Hubei 430079
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- Tsinghua University, Beijing 100084
| | - M Zurek
- Argonne National Laboratory, Argonne, Illinois 60439
- Brookhaven National Laboratory, Upton, New York 11973
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- Frankfurt Institute for Advanced Studies FIAS, Frankfurt 60438, Germany
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Zhou J, Wei B, Liu M, Qin Y, Cheng H, Lyu Y, Liu Y, Guo B. An effective co-modification strategy to enhance the cycle stability of LiNi 0.8Co 0.1Mn 0.1O 2 for lithium-ion batteries. RSC Adv 2023; 13:34194-34199. [PMID: 38020016 PMCID: PMC10664004 DOI: 10.1039/d3ra04145j] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 11/16/2023] [Indexed: 12/01/2023] Open
Abstract
Ni-rich cathode materials suffer from rapid capacity fading caused by interface side reactions and bulk structure degradation. Previous studies show that Co is conducive to bulk structure stability and sulfate can react with the residual lithium (LiOH and Li2CO3) on the surface of Ni-rich cathode materials and form a uniform coating to suppress the side reactions between the cathode and electrolyte. Here, CoSO4 is utilized as a modifier for LiNi0.8Co0.1Mn0.1O2 (NCM811) cathode materials. It reacts with the residual lithium on the surface of the NCM811 cathode to form Li-ion conductive Li2SO4 protective layers and Co doping simultaneously during the high-temperature sintering process, which can suppress the side reactions between the Ni-rich cathode and electrolyte and effectively prevent the structural transformation. As a result, the co-modified NCM811 cathode with 3 wt% CoSO4 exhibits an improved cycling performance of 81.1% capacity retention after 200 cycles at 1C and delivers an excellent rate performance at 5C of 187.4 mA h g-1, which is 10.2% higher than that of the pristine NCM811 cathode.
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Affiliation(s)
- Jingjing Zhou
- Materials Genome Institute, Shanghai University, Shanghai 99 Shangda Road Baoshan District Shanghai P. R. China
| | - Bingxin Wei
- Wuhan Institute of Marine Electric Propulsion Wuhan 430064 P. R. China
| | - Meng Liu
- Materials Genome Institute, Shanghai University, Shanghai 99 Shangda Road Baoshan District Shanghai P. R. China
| | - Yinping Qin
- Materials Genome Institute, Shanghai University, Shanghai 99 Shangda Road Baoshan District Shanghai P. R. China
| | - Hongyu Cheng
- Materials Genome Institute, Shanghai University, Shanghai 99 Shangda Road Baoshan District Shanghai P. R. China
| | - Yingchun Lyu
- Materials Genome Institute, Shanghai University, Shanghai 99 Shangda Road Baoshan District Shanghai P. R. China
| | - Yang Liu
- Materials Genome Institute, Shanghai University, Shanghai 99 Shangda Road Baoshan District Shanghai P. R. China
- A Key Laboratory of Advanced Energy Materials Chemistry (Ministry of Education), Nankai University Tianjin 300071 P. R. China
- Key Laboratory of Optoelectronic Chemical Materials and Devices of Ministry of Education, Jianghan University No. 8, Sanjiaohu Rd. Wuhan Hubei 430056 P. R. China
| | - Bingkun Guo
- Materials Genome Institute, Shanghai University, Shanghai 99 Shangda Road Baoshan District Shanghai P. R. China
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Tian M, Li D, Cisse EHM, Miao L, Zhou J, Yang W, Chen B, Li L, Tian H, Ye B, Yang F. Intra- and interspecific ecophysiological responses to waterlogging stress in two contrasting waterlogging-tolerant arbor species. Front Plant Sci 2023; 14:1257730. [PMID: 38023841 PMCID: PMC10679334 DOI: 10.3389/fpls.2023.1257730] [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] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/12/2023] [Indexed: 12/01/2023]
Abstract
At present, establishing planted forests, typically composed of not more than two tree species, to avoid forest losses has received increasing attention. In addition, investigating the impact of environmental stress such as waterlogging on different planting patterns is essential for improving wetland ecosystem resilience. Knowledge about the impact of waterlogging on planted forests is crucial for developing strategies to mitigate its adverse effects. Here, we conducted experimentally a simulated pure and mixed planting system composed of two contrasting WL-tolerant species (Cleistocalyx operculatus and Syzygium cumini) to determine their ecophysiological responses based on the type of interaction. Results showed that the aboveground growth performance of S. cumini was better than that of C. operculatus under well-watered conditions regardless of the planting model, which is contrary to the belowground accumulation that was significantly improved in C. operculatus. Intra- and interspecific interactions in different planting models facilitated the growth performance of C. operculatus while provoking a significant competition in S. cumini under waterlogging. Such phenomenon was explained through the remarkable ability of C. operculatus to naturally increase its root network under stress on non-stress conditions compared with S. cumini. In this study, two main factors are proposed to play key roles in the remarkable performance of C. operculatus compared with S. cumini following the planting model under waterlogging. The high level of nitrogen and phosphor absorption through C. operculatus primary roots and the significant starch biosynthesis constituted the key element that characterized the facilitation or competition within the intra- or interspecific interactions shown in C. operculatus compared with S. cumini. Furthermore, the intraspecific competition is more pronounced in S. cumini than in C. operculatus when grown in a pure planting pattern, particularly when subjected to waterlogging. However, when the two species are planted together, this competition is alleviated, resulting in enhanced waterlogging tolerance.
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Affiliation(s)
- Mengjie Tian
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Dadong Li
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- School of Life Sciences, Hainan University, Haikou, China
| | - El-Hadji Malick Cisse
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- School of Life Sciences, Hainan University, Haikou, China
| | - Lingfeng Miao
- School of Plant Protection, Hainan University, Haikou, China
| | - Jingjing Zhou
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Weizong Yang
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Boshen Chen
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Lijun Li
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Huimin Tian
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Bingbing Ye
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Fan Yang
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
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