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Zhao X, Leng D, Wang H, Jin H, Wu Y, Qin Z, Wu D, Wei X. An Acid-Responsive Iron-Based Nanocomposite for OSCC Treatment. J Dent Res 2024; 103:612-621. [PMID: 38684484 DOI: 10.1177/00220345241238154] [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] [Indexed: 05/02/2024] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer, characterized by invasiveness, local lymph node metastasis, and poor prognosis. Traditional treatment and medications have limitations, making the specific inhibition of OSCC growth, invasion, and metastasis a challenge. The tumor microenvironment exhibits mildly acidity and high concentrations of H2O2, and its exploitation for cancer treatment has been widely researched across various cancers, but research in the oral cancer field is relatively limited. In this study, by loading ultra-small Prussian blue nanoparticles (USPBNPs) into mesoporous calcium-silicate nanoparticles (MCSNs), we developed an acid-responsive iron-based nanocomposite, USPBNPs@MCSNs (UPM), for the OSCC treatment. UPM demonstrated excellent dual enzyme activities, generating toxic ·OH in a mildly acidic environment, effectively killing OSCC cells and producing O2 in a neutral environment to alleviate tissue hypoxia. The results showed that UPM could effectively inhibit the proliferation, migration, and invasion of OSCC cells, as well as the growth of mice solid tumors, without obvious systemic toxicity. The mechanisms may involve UPM inducing ferroptosis of OSCC cells by downregulating the xCT/GPX4/glutathione (GSH) axis, characterized by intracellular iron accumulation, reactive oxygen species accumulation, GSH depletion, lipid peroxidation, and abnormal changes in mitochondrial morphology. Therefore, this study provides empirical support for ferroptosis as an emerging therapeutic target for OSCC and offers a valuable insight for future OSCC treatment.
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Affiliation(s)
- X Zhao
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - D Leng
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - H Wang
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - H Jin
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - Y Wu
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - Z Qin
- Nanjing Medical University, The First Clinical Medical College, Jiangsu Province Hospital, Nanjing, Jiangsu, China
| | - D Wu
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
| | - X Wei
- Jiangsu Province Key Laboratory of Oral Diseases & Jiangsu Province Engineering Research Center of Stomatological Translational Medicine & Department of Endodontics, The Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, China
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Yang W, Zhao X, Guo Z, Sun H, List-Kratochvil EJW. A compact tri-notched flexible UWB antenna based on an inkjet-printable and plasma-activated silver nano ink. Sci Rep 2024; 14:11407. [PMID: 38762538 PMCID: PMC11102509 DOI: 10.1038/s41598-024-62253-2] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/15/2024] [Indexed: 05/20/2024] Open
Abstract
The rapid development of ultrawideband (UWB) communication systems has resulted in increasing performance requirements for the antenna system. In addition to a wide bandwidth, fast propagation rates and compact dimensions, flexibility, wearability or portability are also desirable for UWB antennas, as are excellent notch characteristics. Although progress has been made in the development of flexible/wearable antennas desired notch properties are still rather limited. Moreover, most presently available flexible UWB antennas are fabricated using environmentally not attractive subtractive etching-based processes. The usage of facile additive sustainably inkjet printing processes also utilizing low temperature plasma-activated conductive inks is rarely reported. In addition, the currently used tri-notched flexible UWB antenna designs have a relatively large footprint, which poses difficulties when integrated into miniaturized and compact communication devices. In this work, a silver nano ink is used to fabricate the antenna via inkjet printing and an efficient plasma sintering procedure. For the targeted UWB applications miniaturized tri-notched flexible antenna is realized on a flexible polyethylene terephthalate (PET) substrate with a compact size of 17.6 mm × 16 mm × 0.12 mm. The antenna operates in the UWB frequency band (2.9-10.61 GHz), and can shield interferences from WiMAX (3.3-3.6 GHz), WLAN (5.150-5.825 GHz) and X-uplink (7.9-8.4 GHz) bands, as well as exhibits a certain of bendability. Three nested "C" slots of different sizes were adopted to achieve notch features. The simulation and test results demonstrate that the proposed antenna can generate signal radiation in the desired UWB frequency band while retaining the desired notch properties and having acceptable SAR values on-body, making it a viable candidate for usage in flexible or wearable communication transmission devices. The research provides a facile and highly efficient method for fabricating flexible/wearable UWB antennas, that is, the effective combination of inkjet printing processing, flexible substrates, low temperature-activated conductive ink and antenna structure design.
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Affiliation(s)
- Wendong Yang
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City, 125105, China.
- Institut für Physik, Institut für Chemie, IRIS Adlershof, Humboldt-Universität zu Berlin, 12489, Berlin, Germany.
| | - Xun Zhao
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City, 125105, China
| | - Zihao Guo
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City, 125105, China
| | - Haoqiang Sun
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City, 125105, China
| | - Emil J W List-Kratochvil
- Institut für Physik, Institut für Chemie, IRIS Adlershof, Humboldt-Universität zu Berlin, 12489, Berlin, Germany.
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, 14109, Berlin, Germany.
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Arslanov TR, Zalibekov UZ, Ashurov GG, Losanov KK, Zhao X, Dai B, Ril AI. Ratio of 4:1 between ZnGeAs 2and MnAs phases in a single composite and its impact on the structure-driven magnetoresistance. J Phys Condens Matter 2024; 36:315802. [PMID: 38657635 DOI: 10.1088/1361-648x/ad42f5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/24/2024] [Indexed: 04/26/2024]
Abstract
A strong influence of the lattice degree of freedom on magnetoresistance (MR) under high pressure underlies the conception of 'structure-driven' magnetoresistance (SDMR). In most magnetic or topological materials, the suppression of MR with increasing pressure is a general trend, while for some magnetic composites the MR enhances and even shows unusual behavior as a consequence of structural transition. Here we investigated the SDMR in the composite material based on the ZnGeAs2semiconductor matrix and MnAs magnetic inclusions in a phase ratio of 4:1. At ambient pressure, its magnetic and transport properties are governed by MnAs inclusions, i.e. it shows a Curie temperatureTC≈ 320 K and metallic-like conductivity. Under high pressure, the low-field room temperature MR undergoes multiple changes in the pressure range up to 7.2 GPa. The structural transition in the ZnGeAs2matrix has been found at ∼6 GPa, slightly lower than in the pure ZnGeAs2(6.2 GPa). The huge SDMR as high as 85% at 6.8 GPa and 2.5 kOe, which contains both positive and negative MR components, is accompanied by a pressure-induced metallic-like-to-semiconductor-like transition and the enhanced ferromagnetic order of MnAs inclusions. This observation offers a competing mechanism between the robust extrinsic ferromagnetism and high-pressure electronic properties of ZnGeAs2.
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Affiliation(s)
- T R Arslanov
- Amirkhanov Institute of Physics, Daghestan Federal Research Center, Russian Academy of Sciences, 367003 Makhachkala, Russia
| | - U Z Zalibekov
- Amirkhanov Institute of Physics, Daghestan Federal Research Center, Russian Academy of Sciences, 367003 Makhachkala, Russia
| | - G G Ashurov
- Amirkhanov Institute of Physics, Daghestan Federal Research Center, Russian Academy of Sciences, 367003 Makhachkala, Russia
| | - Kh Kh Losanov
- Kabardino-Balkarian State University Named After H.M. Berbekov, 360004 Nalchik, Russia
| | - X Zhao
- State Key Laboratory for Environment-Friendly Energy Materials, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
- School of Materials and Chemistry, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
| | - B Dai
- State Key Laboratory for Environment-Friendly Energy Materials, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
- School of Materials and Chemistry, Southwest University of Science and Technology, Mianyang 621010, People's Republic of China
| | - A I Ril
- Kurnakov Institute of General and Inorganic Chemistry, RAS, 119991 Moscow, Russia
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4
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Zhao X, Ciren Y, Wu D. Gastrointestinal: A rare intra-abdominal hydatid cyst manifesting as an acute massive upper gastrointestinal bleeding. J Gastroenterol Hepatol 2024. [PMID: 38693846 DOI: 10.1111/jgh.16579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Accepted: 04/01/2024] [Indexed: 05/03/2024]
Affiliation(s)
- X Zhao
- Department of Gastroenterology, Tibet Autonomous Region People's Hospital, Lhasa, China
- Department of Gastroenterology, Peking University People's Hospital, Beijing, China
| | - Y Ciren
- Department of Gastroenterology, Tibet Autonomous Region People's Hospital, Lhasa, China
| | - D Wu
- Department of Gastroenterology, Tibet Autonomous Region People's Hospital, Lhasa, China
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5
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Zhao X, Zhou Y, Song Y, Xu J, Li J, Tat T, Chen G, Li S, Chen J. Permanent fluidic magnets for liquid bioelectronics. Nat Mater 2024; 23:703-710. [PMID: 38671161 DOI: 10.1038/s41563-024-01802-6] [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: 01/23/2023] [Accepted: 01/08/2024] [Indexed: 04/28/2024]
Abstract
Brownian motion allows microscopically dispersed nanoparticles to be stable in ferrofluids, as well as causes magnetization relaxation and prohibits permanent magnetism. Here we decoupled the particle Brownian motion from colloidal stability to achieve a permanent fluidic magnet with high magnetization, flowability and reconfigurability. The key to create such permanent fluidic magnets is to maintain a stable magnetic colloidal fluid by using non-Brownian magnetic particles to self-assemble a three-dimensional oriented and ramified magnetic network structure in the carrier fluid. This structure has high coercivity and permanent magnetization, with long-term magnetization stability. We establish a scaling theory model to decipher the permanent fluid magnet formation criteria and formulate a general assembly guideline. Further, we develop injectable and retrievable permanent-fluidic-magnet-based liquid bioelectronics for highly sensitive, self-powered wireless cardiovascular monitoring. Overall, our findings highlight the potential of permanent fluidic magnets as an ultrasoft material for liquid devices and systems, from bioelectronics to robotics.
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Affiliation(s)
- Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yang Song
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Justin Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Song Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
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6
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Jiang K, Cao F, Yin L, Hu Y, Zhao X, Huang X, Ma X, Li J, Lu M, Sun Y. Claudin 18.2 expression in digestive neuroendocrine neoplasms: a clinicopathological study. J Endocrinol Invest 2024; 47:1251-1260. [PMID: 38060154 DOI: 10.1007/s40618-023-02245-7] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 11/09/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Claudin 18.2-targeted therapy has shown significant efficacy in treating claudin 18.2-positive cancers. However, limited systematic studies have investigated characteristics of claudin 18.2 expression in neuroendocrine neoplasms (NENs). METHODS Data and specimens from 403 cases of digestive NENs were retrospectively collected, and claudin 18.2 expression was detected using immunochemical staining. RESULTS Claudin 18.2 was positive in 19.6% (79/403) of the digestive NENs. The highest positive rate of claudin 18.2 was observed in gastric NENs (72/259, 27.8%), accounting for 91.1% (72/79) of all positive cases. The positivity rate was significantly higher in gastric NENs compared to pancreatic (2/78, 2.6%) or colorectal NENs (2/38, 5.3%; p < 0.05). For digestive NENs, claudin 18.2 positivity was significantly higher in neuroendocrine carcinomas (NECs) (37/144, 25.7%) than in neuroendocrine tumours (NETs; 14/160, 8.8%; p < 0.001), but no significant difference was found between gastric NECs (59/213, 27.7%) and gastric NETs (13/46, 28.3%; p > 0.05). The positivity was significantly higher in large-cell NECs (LCNECs; 28/79, 35.4%) and MiNEN (mixed neuroendocrine-non- neuroendocrine neoplasms)-LCNECs (23/66, 34.8%) compared to small-cell NECs (SCNECs; 9/65, 13.8%) and MiNEN-SCNECs (5/33, 15.2%; p < 0.05). Claudin 18.2 expression was more prevalent in gastric NENs than in pancreatic (12.5 ×; p = 0.001) and colorectal NENs (5.9 ×; p = 0.021). Claudin 18.2 staining was a useful method for identify the gastric origins of NETs, with a sensitivity of 28.3% and a specificity of 99.1%. CONCLUSION The expression characteristics of claudin 18.2 in NENs were characterized, which may provide a clinicopathological reference for targeted therapies in patients with NENs.
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Affiliation(s)
- K Jiang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - F Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - L Yin
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - Y Hu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - X Zhao
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China
| | - X Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - X Ma
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Pathology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - J Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - M Lu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
| | - Y Sun
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
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Zhang W, Cao YS, Wei MC, Xu J, Bao Z, Yan JX, Chen C, Li JY, Ban ZY, Wang BJ, Zhao X, Zhao C, Zeng XX. [Application of optical coherence tomography in the evaluation of cervical lesions: a multicenter study]. Zhonghua Fu Chan Ke Za Zhi 2024; 59:299-306. [PMID: 38644276 DOI: 10.3760/cma.j.cn112141-20240103-00006] [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: 04/23/2024]
Abstract
Objective: To explore the value of optical coherence tomography (OCT) imaging system in evaluating cervical lesions in vivo. Methods: A total of 1 214 patients with cervical lesions were collected from January 2020 to December 2021 in the Third Affiliated Hospital of Zhengzhou University, Maternal and Chlid Heaith Hospital of Gushi County, Xinyang City, Henan Province, and Maternal and Chlid Heaith Hospital of Sui County, Shangqiu City, Henan Province. The age of the patients was (38.9±10.5) years (range: 16-77 years). All patients underwent in vivo cervical OCT examination and cervical biopsy pathology examination, and summarized the OCT image features of in vivo cervical lesions. Using the pathological diagnosis as the "gold standard", the accuracy, specificity, sensitivity, positive predictive value (PPV) and negative predictive value (NPV) of OCT image interpretation results were evaluated, as well as the consistency of OCT image diagnosis and pathological diagnosis. At the same time, the in vivo cervical OCT imaging system, as a newly developed screening tool, was compared with the traditional combined screening of human papillomavirus (HPV) and Thinprep cytologic test (TCT), to assess the screening effect. Results: By comparing the OCT images of the cervix in vivo with the corresponding HE images, the OCT image characteristics of the normal cervix and various types of cervical lesions in vivo were summarized. The accuracy, sensitivity, specificity, PPV and NPV of OCT image in the diagnosis of high-grade squamous intraepithelial lesion (HSIL) and above (HSIL+) were 93.4%, 88.5%, 95.0%, 85.0% and 96.2%, respectively. The accuracy, sensitivity, specificity, PPV and NPV of OCT for low-grade squamous intraepithelial lesion (LSIL) were 84.7%, 61.7%, 96.3%, 89.3% and 83.2%, respectively. The consistency between OCT image diagnosis and pathological diagnosis was strong (Kappa value was 0.701).The accuracy, sensitivity and specificity of OCT screening, HPV and TCT combined screening were 83.7% vs 64.9% (χ²=128.82, P<0.001), 77.8% vs 64.5% (χ²=39.01, P<0.001), 91.8% vs 65.4% (χ²=98.12, P<0.001), respectively. The differences were statistically significant. Conclusions: OCT imaging system has high sensitivity and specificity in the evaluation of cervical lesions in vivo, and has the characteristics of non-invasive, real-time and high efficiency. OCT examination is expected to become an effective method for the diagnosis of cervical lesions and cervical cancer screening.
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Affiliation(s)
- W Zhang
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y S Cao
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - M C Wei
- Department of Pathology, Maternal and Child Health Hospital of Gushi County, Xinyang City, Henan Province, Xinyang 465299, China
| | - J Xu
- Department of Pathology, Maternal and Child Health Hospital of Sui County, Shangqiu City, Henan Province, Shangqiu 476999, China
| | - Z Bao
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J X Yan
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - C Chen
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J Y Li
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Z Y Ban
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - B J Wang
- Department of Gynecology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Zhao
- Department of Medical Imaging, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Chengquan Zhao
- Department of Pathology, University of Pittsburgh Medical Center, Pennsylvania 19019, USA
| | - X X Zeng
- Department of Pathology, the Third Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Lin DF, Li HL, Liu T, Lv XF, Xie CM, Ou XM, Guan J, Zhang Y, Yan WB, He ML, Mao MY, Zhao X, Zhong LZ, Chen WH, Chen QY, Mai HQ, Peng RJ, Tian J, Tang LQ, Dong D. Radiomic signatures associated with tumor immune heterogeneity predict survival in locally recurrent nasopharyngeal carcinoma. J Natl Cancer Inst 2024:djae081. [PMID: 38637942 DOI: 10.1093/jnci/djae081] [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: 08/08/2023] [Revised: 01/09/2024] [Accepted: 04/01/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND The prognostic value of traditional clinical indicators for locally recurrent nasopharyngeal carcinoma (lrNPC) is limited due to their inability to reflect intratumor heterogeneity. We aimed to develop a radiomic signature to reveal tumor immune heterogeneity and predict survival in lrNPC. METHODS This multicenter, retrospective study included 921 patients with lrNPC. A machine learning signature and nomogram based on pretreatment MRI features were developed for predicting overall survival (OS) in a training cohort and validated in two independent cohorts. A clinical nomogram and an integrated nomogram were constructed for comparison. Nomogram performance was evaluated by concordance index (C-index) and receiver operating characteristic curve analysis. Accordingly, patients were classified into risk groups. The biological characteristics and immune infiltration of the signature were explored by RNA sequencing (RNA-seq) analysis. RESULTS The machine learning signature and nomogram demonstrated comparable prognostic ability to a clinical nomogram, achieving C-indexes of 0.729, 0.718, and 0.731 in the training, internal, and external validation cohorts, respectively. Integration of the signature and clinical variables significantly improved the predictive performance. The proposed signature effectively distinguished patients between risk groups with significantly distinct OS rates. Subgroup analysis indicated the recommendation of local salvage treatments for low-risk patients. Exploratory RNA-seq analysis revealed differences in interferon response and lymphocyte infiltration between risk groups. CONCLUSIONS An MRI-based radiomic signature predicted OS more accurately. The proposed signature associated with tumor immune heterogeneity may serve as a valuable tool to facilitate prognostic stratification and guide individualized management for lrNPC patients.
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Affiliation(s)
- Da-Feng Lin
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Hai-Lin Li
- School of Engineering Medicine, Beihang University, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Ting Liu
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
- Breast Disease Center, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiao-Fei Lv
- Department of Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Chuan-Miao Xie
- Department of Radiology, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Xiao-Min Ou
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China and Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jian Guan
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ye Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wen-Bin Yan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China and Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Mei-Lin He
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meng-Yuan Mao
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Xun Zhao
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Lian-Zhen Zhong
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Wen-Hui Chen
- Department of Oncology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Qiu-Yan Chen
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Hai-Qiang Mai
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Rou-Jun Peng
- Department of VIP Section, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Jie Tian
- School of Engineering Medicine, Beihang University, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- National Key Laboratory of Kidney Diseases, Beijing, China
| | - Lin-Quan Tang
- Department of Nasopharyngeal Carcinoma, Sun Yat-sen University Cancer Center; State Key Laboratory of Oncology, in South China; Collaborative Innovation Center for Cancer Medicine, ; Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy; Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Di Dong
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- National Key Laboratory of Kidney Diseases, Beijing, China
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Dong J, Zhang H, Ai X, Dong Q, Shi X, Zhao X, Zhong C, Yu H. Improving chilling tolerance of peanut seedlings by enhancing antioxidant-modulated ROS scavenging ability, alleviating photosynthetic inhibition, and mobilizing nutrient absorption. Plant Biol (Stuttg) 2024. [PMID: 38597809 DOI: 10.1111/plb.13643] [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: 11/18/2023] [Accepted: 02/21/2024] [Indexed: 04/11/2024]
Abstract
Peanut production is threatened by climate change. Damage to seedlings from low temperatures in early spring can limit yield. Plant adaptations to chilling stress remain unclear in peanut seedlings. It is essential to understand how peanut acquires chilling tolerance. We evaluated effects of chilling stress on growth and recovery of peanut seedlings. We compared and analysed biological characteristics, antioxidants, photosynthesis, biochemical and physiological responses, and nutrient absorption at varying levels of chilling. Compared with chilling-sensitive FH18, the reduced impact of chilling stress on chilling-tolerant NH5 was associated with reduced ROS accumulation, higher ascorbate peroxidase activity and soluble sugar content, lower soluble protein content, and smaller reductions in nutrient content during stress. After removal of chilling stress, FH18 had significant accumulation of O2 •- and H2O2, which decreased photosynthesis, nutrient absorption, and transport. ROS-scavenging reduced damage from chilling stress, allowed remobilization of nutrients, improved chilling tolerance, and restored plant functioning after chilling stress removal. These findings provide a reference for targeted research on peanut seedling tolerance to chilling and lay the foundation for bioinformatics-based research on peanut chilling tolerance mechanisms.
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Affiliation(s)
- J Dong
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - H Zhang
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - X Ai
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - Q Dong
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - X Shi
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - X Zhao
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - C Zhong
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
| | - H Yu
- College of Agronomy, Peanut Research Institute, Shenyang Agricultural University, Shenyang, Liaoning Province, China
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Zhao X, Qi J, Yu Z, Yuan L, Huang H. Fine-Scale Quantification of Absorbed Photosynthetically Active Radiation (APAR) in Plantation Forests with 3D Radiative Transfer Modeling and LiDAR Data. Plant Phenomics 2024; 6:0166. [PMID: 38590393 PMCID: PMC11001482 DOI: 10.34133/plantphenomics.0166] [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] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 03/10/2024] [Indexed: 04/10/2024]
Abstract
Quantifying the relationship between light and stands or individual trees is of great significance in understanding tree competition, improving forest productivity, and comprehending ecological processes. However, accurately depicting the spatiotemporal variability of light under complex forest structural conditions poses a challenge, especially for precise forest management decisions that require a quantitative study of the relationship between fine-scale individual tree structure and light. 3D RTMs (3-dimensional radiative transfer models), which accurately characterize the interaction between solar radiation and detailed forest scenes, provide a reliable means for depicting such relationships. This study employs a 3D RTM and LiDAR (light detection and ranging) data to characterize the light environment of larch plantations at a fine spatiotemporal scale, further investigating the relationship between absorbed photosynthetically active radiation (APAR) and forest structures. The impact of specific tree structural parameters, such as crown diameter, crown area, crown length, crown ratio, crown volume, tree height, leaf area index, and a distance parameter assessing tree competition, on the daily-scale cumulative APAR per tree was investigated using a partial least squares regression (PLSR) model. Furthermore, variable importance in projection (VIP) was also calculated from the PLSR. The results indicate that among the individual tree structure parameters, crown volume is the most important one in explaining individual tree APAR (VIP = 4.19), while the competition from surrounding trees still plays a role in explaining individual tree APAR to some extent (VIP = 0.15), and crown ratio contributes the least (VIP = 0.03). Regarding the spatial distribution of trees, the average cumulative APAR per tree of larch plots does not increase with an increase in canopy gap fraction. Tree density and average cumulative APAR per tree were fitted using a natural exponential equation, with a coefficient of determination (R2 = 0.89), and a small mean absolute percentage error (MAPE = 0.03). This study demonstrates the potential of combining 3D RTM with LiDAR data to quantify fine-scale APAR in plantations, providing insights for optimizing forest structure, enhancing forest quality, and implementing precise forest management practices, such as selective breeding for superior tree species.
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Affiliation(s)
- Xun Zhao
- Key Laboratory for Silviculture and Conservation of Ministry of Education,
Beijing Forestry University, Beijing 100083, China
| | - Jianbo Qi
- Key Laboratory for Silviculture and Conservation of Ministry of Education,
Beijing Forestry University, Beijing 100083, China
- Innovation Research Center of Satellite Application, Faculty of Geographical Science,
Beijing Normal University, Beijing 100875, China
| | - Zhexiu Yu
- Key Laboratory for Silviculture and Conservation of Ministry of Education,
Beijing Forestry University, Beijing 100083, China
| | - Lijuan Yuan
- Key Laboratory for Silviculture and Conservation of Ministry of Education,
Beijing Forestry University, Beijing 100083, China
| | - Huaguo Huang
- Key Laboratory for Silviculture and Conservation of Ministry of Education,
Beijing Forestry University, Beijing 100083, China
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11
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Yang W, Guo Z, Zhao X, Zhang X, List-Kratochvil EJW. Insight into the Types of Alkanolamines on the Properties of Copper(II) Formate-Based Conductive Ink. Langmuir 2024; 40:7095-7105. [PMID: 38511863 DOI: 10.1021/acs.langmuir.4c00221] [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] [Indexed: 03/22/2024]
Abstract
Conductive inks are one of the most important functional materials for printed flexible electronic devices, and their properties determine the methods of subsequent patterning and metallization. In comparison with copper nanoparticle or nanowire inks, copper particle-free inks employing copper(II) formate (Cuf) as a precursor have attracted the interest of researchers due to their flexibility in preparation, excellent stability, and lower conversion temperature. Alkanolamines can provide Cuf with excellent solubility in alcohols while being less toxic and having a certain reducibility, making them preferable ligands in comparison with aliphatic amines and pyridine. However, there have been few studies on the effects of the alkanolamine types on the performance of Cuf inks. Also, the decomposition mechanism of copper-alkanolamine complex inks is not clear. In this work, different kinds of alkanolamines were chosen as ligands to formulate Cuf inks to address the mentioned issues. The influences of amine types on the stability, wettability, thermal decomposition behavior, and electrical performance of the formulated Cuf particle-free inks were investigated in detail. The results show that the utilization of alkanolamines could provide Cuf with excellent solubility in alcohols, resulting in an ink with good stability and favorable wetting properties. The thermal decomposition temperature and electrical performance of the formulated copper ink are largely dependent on the amine used. When amines with a longer carbon chain and more branches were utilized to prepare the ink, a decreased decomposition temperature was observed on the derived inks because of the steric hindrance effect. Copper films with good morphology and conductivity could be obtained at low temperatures by selecting the appropriate alkanolamine. Copper particle-free conductive ink from 2-amino-2-methyl-1-propanol demonstrated better morphology and electrical performance (16.09 μΩ·cm) and was successfully used for conductive circuits by direct-writing.
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Affiliation(s)
- Wendong Yang
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City 125105, China
- Institut für Physik, Institut für Chemie, IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin 12489, Germany
| | - Zihao Guo
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City 125105, China
| | - Xun Zhao
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City 125105, China
| | - Xiaoyuan Zhang
- School of Electronic and Information Engineering, Liaoning Technical University, Huludao City 125105, China
| | - Emil J W List-Kratochvil
- Institut für Physik, Institut für Chemie, IRIS Adlershof, Humboldt-Universität zu Berlin, Berlin 12489, Germany
- Helmholtz-Zentrum Berlin für Materialien und Energie GmbH, Berlin 14109, Germany
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12
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Zhao X, Hou JY, Zhu JJ, Zheng MN, Li L, Ning TL, Yu MH. [Characteristics of baseline viral load before antiretroviral therapy in newly reported HIV-infected patients in Tianjin, 2019-2022]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:353-357. [PMID: 38514311 DOI: 10.3760/cma.j.cn112338-20230912-00148] [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: 03/23/2024]
Abstract
Objective: To understand the baseline viral load (VL) of newly reported HIV- infected patients before antiretroviral therapy and related factors in Tianjin. Methods: Data were obtained from the China Disease Control and Prevention Information System, and the study subjects were HIV-infected patients before the first antiretroviral therapy in Tianjin from 2019 to 2022, and the information about their socio-demographic characteristics, baseline CD4+T lymphocyte (CD4) counts before antiretroviral therapy and baseline VL test results were collected, the baseline high VL was defined as ≥100 000 copies/ml. The effect of different factors on viral load were analyzed. Software SPSS 24.0 was used for statistical analysis. Results: A total of 1 296 newly reported HIV-infected patients were included in the study, in whom 15.89% (206/1 296) had high baseline VL, and multifactorial logistic regression analysis showed that those with history of STD (aOR=1.45, 95%CI:1.00-2.08) were more likely to have high baseline VL. Compared with those with baseline CD4 counts <200 cells/μl, those with baseline CD4 counts 200-350 cells/μl (aOR=0.40, 95%CI: 0.27-0.57), 351-500 cells/μl (aOR=0.32, 95%CI: 0.20-0.49), and >500 cells/μl (aOR=0.30, 95%CI: 0.18-0.49) were less likely to have high baseline VL. Conclusions: The proportion of HIV-infected patients with high baseline VL before antiretroviral therapy was low in Tianjin during 2019-2022. History of STD and baseline CD4 counts <200 cells/μl were associated with high baseline VL in HIV-infected patients, to which close attention needs to be paid in AIDS prevention and control.
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Affiliation(s)
- X Zhao
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - J Y Hou
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - J J Zhu
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - M N Zheng
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - L Li
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - T L Ning
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
| | - M H Yu
- Department of AIDS/STD Prevention and Control, Tianjin Centers for Disease Control and Prevention/Tianjin Key Laboratory of Pathogenic Microbiology of Infectious Disease, Tianjin 300011, China
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Zhao X, Zhang Q, Tao S, Zhou W, Jia PY. Corrigendum to "Association of edentulism and all-cause mortality in Chinese older adults: do sex differences exist?" [Public Health 221 (2023) 184-189]. Public Health 2024; 228:206. [PMID: 38402114 DOI: 10.1016/j.puhe.2023.11.037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/26/2024]
Affiliation(s)
- X Zhao
- School of Health Humanities, Peking University, Beijing, China
| | - Q Zhang
- National School of Development, Peking University, Beijing, China
| | - S Tao
- School of Health Humanities, Peking University, Beijing, China
| | - W Zhou
- Research Center for Public Health and Social Security, School of Public Administration, Hunan University, Hunan, China
| | - P-Y Jia
- Department of the Fourth Clinical Division, Peking University School and Hospital of Stomatology & National Center of 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 & Research Center of Engineering and Technology for Computerized Dentistry, Ministry of Health & NMPA Key Laboratory for Dental Materials, Beijing, China.
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14
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Zhao X, Kotha S, Nayyar D, Ma X, Lilly L, Castel H, Gupta S. Physiologic changes in the hepatopulmonary syndrome before and after liver transplant: A longitudinal and predictor analysis. Hepatology 2024; 79:636-649. [PMID: 37732952 PMCID: PMC10871618 DOI: 10.1097/hep.0000000000000605] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Accepted: 08/27/2023] [Indexed: 09/22/2023]
Abstract
BACKGROUND AND AIMS Hepatopulmonary syndrome (HPS) is a common complication of liver disease defined by abnormal oxygenation and intrapulmonary vascular dilatation, treated with liver transplantation. Little is known about changes in HPS physiological parameters over time. We sought to describe baseline clinical and physiological characteristics in HPS and their relationships, temporal changes in physiological parameters before and after transplant, and predictors of changes in oxygenation. APPROACH AND RESULTS This was a retrospective cohort study in the Canadian HPS Program (n = 132). Rates of change after diagnosis were: -3.7 (-6.4, -0.96) mm Hg/year for partial pressure of arterial oxygen (PaO 2 ); -26 (-96, 44) m/year for 6-minute walk distance, and 3.3% (-6.6, -0.011) predicted/year for diffusion capacity. Noninvasive shunt of ≥ 20% predicted a slower PaO 2 decline by 0.88 (0.36, 1.4) mm Hg/month. We identified 2 PaO 2 deterioration classes-"very severe disease, slow decliners" (PaO 2 45.0 mm Hg; -1.0 mm Hg/year); and "moderate disease, steady decliners" (PaO 2 65.5 mm Hg; -2.5 mm Hg/year). PaO 2 increased by 6.5 (5.3, 7.7) mm Hg/month in the first year after transplant. The median time to normalization was 149 (116, 184) days. Posttransplant improvement in PaO 2 was 2.5 (0.1, 4.9) mm Hg/month faster for every 10 mm Hg greater pretransplant orthodeoxia. CONCLUSIONS We present a large and long longitudinal data analysis in HPS. In addition to rates of physiological decline and improvement before and after liver transplantation, we present novel predictors of PaO 2 decline and improvement rates. Our findings enhance our understanding of the natural history of HPS and provide pathophysiologic clues. Importantly, they may assist providers in prognostication and prioritization before and after transplant.
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Affiliation(s)
- Xun Zhao
- Department of Gastroenterology and Hepatology, McGill University, Montreal, Canada
- Department of Multi-Organ Transplant, Toronto General Hospital, University of Toronto, Toronto, Canada
| | - Sreelakshmi Kotha
- Department of Hepatology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Dhruv Nayyar
- Department of Medicine, University of Toronto, Toronto, Canada
| | - Xiayi Ma
- Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, Canada
| | - Leslie Lilly
- Department of Multi-Organ Transplant, Toronto General Hospital, University of Toronto, Toronto, Canada
| | - Hélène Castel
- Department of Hepatology and Liver Transplantation, Centre Hospitalier de l’Université de Montréal (CHUM), Montreal, Canada
| | - Samir Gupta
- Li Ka Shing Knowledge Institute of St. Michael’s Hospital, Unity Health Toronto, University of Toronto, Toronto, Canada
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Zhao X, Yan Y, Xie W, Zhao L, Zhang S, Liu J, Liu C, Ma L. The Application of CT Radiomics in the Diagnosis of Vein Wall Invasion in Patients With Renal Cell Carcinoma Combined With Tumor Thrombus. Oncologist 2024; 29:151-158. [PMID: 37672362 PMCID: PMC10836321 DOI: 10.1093/oncolo/oyad243] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 07/21/2023] [Indexed: 09/08/2023] Open
Abstract
OBJECTIVE The objective of this study was to explore the application of radiomics combined with machine learning to establish different models to assist in the diagnosis of venous wall invasion in patients with renal cell carcinoma and venous tumor thrombus and to evaluate the diagnostic efficacy. MATERIALS AND METHODS We retrospectively reviewed the data of 169 patients in Peking University Third Hospital from March 2015 to January 21, who was diagnosed as renal mass with venous invasion. According to the intraoperative findings, 111 patients were classified to the venous wall invasion group and 58 cases in the non-invasion group. ITK-snap was used for tumor segmentation and PyRadiomics 3.0.1 package was used for feature extraction. A total of 1598 features could be extracted from each CT image. The patients were divided into training set and testing set by time. The elastic-net regression with 4-fold cross-validation was used as a dimension-reduction method. After feature selection, a support vector machines (SVM) model, a logistic regression (LR) model, and an extra trees (ET) model were established. Then the sensitivity, specificity, accuracy, and the area under the curve (AUC) were calculated to evaluate the diagnostic performance of each model on the testing set. RESULTS Patients before September 2019 were divided into the training set, of which 88 patients were in the invasion group and 42 patients were in the non-invasion group. The others were in the testing set, of which 32 patients were in the invasion group and 16 patients were in the non-invasion group. A total of 34 radiomics features were obtained by the elastic-net regression. The SVM model had an AUC value of 0.641 (95% CI, 0.463-0.769), a sensitivity of 1.000, and a specificity of 0.062. The LR model had an AUC value of 0.769 (95% CI, 0.620-0.877), a sensitivity of 0.913, and a specificity of 0.312. The ET model had an AUC value of 0.853 (95% CI, 0.734-0.948), a sensitivity of 0.783, and a specificity of 0.812. Among the 3 models, the ET model had the best diagnostic effect, with a good balance of sensitivity and specificity. And the higher the tumor thrombus grade, the better the diagnostic efficacy of the ET model. In inferior vena cava tumor thrombus, the sensitivity, specificity, accuracy, and AUC of ET model can be improved to 0.889, 0.800, 0.857, 0.878 (95% CI, 0.745-1.000). CONCLUSION Machine learning combined with radiomics method can effectively identify whether venous wall was invaded by tumor thrombus and has high diagnostic efficacy with an AUC of 0.853 (95% CI, 0.734-0.948).
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Affiliation(s)
- Xun Zhao
- Department of Urology, Peking University Third Hospital, Haidian District, Beijing, People’s Republic of China
| | - Ye Yan
- Department of Urology, Peking University Third Hospital, Haidian District, Beijing, People’s Republic of China
| | - Wanfang Xie
- School of Engineering Medicine, Beihang University, Beijing, People’s Republic of China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People’s Republic of China, Beijing, People’s Republic of China
| | - Litao Zhao
- School of Engineering Medicine, Beihang University, Beijing, People’s Republic of China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People’s Republic of China, Beijing, People’s Republic of China
| | - Shudong Zhang
- Department of Urology, Peking University Third Hospital, Haidian District, Beijing, People’s Republic of China
| | - Jiangang Liu
- School of Engineering Medicine, Beihang University, Beijing, People’s Republic of China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of the People’s Republic of China, Beijing, People’s Republic of China
- Beijing Engineering Research Center of Cardiovascular Wisdom Diagnosis and Treatment, Beijing, People’s Republic of China
| | - Cheng Liu
- Department of Urology, Peking University Third Hospital, Haidian District, Beijing, People’s Republic of China
| | - Lulin Ma
- Department of Urology, Peking University Third Hospital, Haidian District, Beijing, People’s Republic of China
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Zheng MH, Ma JJ, Zhao X. [Three decades of progress in China's laparoscopic colorectal surgery techniques]. Zhonghua Wei Chang Wai Ke Za Zhi 2024; 27:41-46. [PMID: 38262899 DOI: 10.3760/cma.j.cn441530-20240110-00020] [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: 01/25/2024]
Abstract
Laparoscopic colorectal surgery has been carried out in China for more than 30 years and has experienced a three-stage high-speed development of "exploring and designing,optimising and standardising, perfecting and re-innovating" at the technical level. Based on the support and assistance of laparoscopic technology, colorectal surgery has made rapid progress in sub-microscopic anatomy, surgical procedures, surgical concepts, instruments and equipment. Nowadays, the technology and efficacy of laparoscopic colorectal surgery have gradually reached the ceiling, and in view of the existing pain points and the future direction of development, where will we go? This article summarised the past three decades of experience and consolidate the results to guide the future practice and the way forward.
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Affiliation(s)
- M H Zheng
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Minimally Invasive Surgery Center, Shanghai 200020, China
| | - J J Ma
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Minimally Invasive Surgery Center, Shanghai 200020, China
| | - X Zhao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Minimally Invasive Surgery Center, Shanghai 200020, China
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Wang Z, Fang M, Zhang J, Tang L, Zhong L, Li H, Cao R, Zhao X, Liu S, Zhang R, Xie X, Mai H, Qiu S, Tian J, Dong D. Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review. IEEE Rev Biomed Eng 2024; 17:118-135. [PMID: 37097799 DOI: 10.1109/rbme.2023.3269776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/26/2023]
Abstract
Nasopharyngeal carcinoma is a common head and neck malignancy with distinct clinical management compared to other types of cancer. Precision risk stratification and tailored therapeutic interventions are crucial to improving the survival outcomes. Artificial intelligence, including radiomics and deep learning, has exhibited considerable efficacy in various clinical tasks for nasopharyngeal carcinoma. These techniques leverage medical images and other clinical data to optimize clinical workflow and ultimately benefit patients. In this review, we provide an overview of the technical aspects and basic workflow of radiomics and deep learning in medical image analysis. We then conduct a detailed review of their applications to seven typical tasks in the clinical diagnosis and treatment of nasopharyngeal carcinoma, covering various aspects of image synthesis, lesion segmentation, diagnosis, and prognosis. The innovation and application effects of cutting-edge research are summarized. Recognizing the heterogeneity of the research field and the existing gap between research and clinical translation, potential avenues for improvement are discussed. We propose that these issues can be gradually addressed by establishing standardized large datasets, exploring the biological characteristics of features, and technological upgrades.
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Liu K, Zhao X, Xiao R, Zhao L, Xiao C, Zhang S, Ma L. Factors predicting indistinct plane of surgical capsule in patients underwent HoLEP procedures. World J Urol 2024; 42:26. [PMID: 38206399 DOI: 10.1007/s00345-023-04736-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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/01/2023] [Indexed: 01/12/2024] Open
Abstract
PURPOSE To evaluate factors that effectively predict indistinct plane (IP) in patients who underwent holmium laser enucleation of the prostate (HoLEP). METHODS Data of 208 consecutive patients from our HoLEP database were reviewed and analyzed. IP was defined in 107 cases, as the plane could be identified only depending on endoscopic beak dissection rather than laser dissection in the initial stage of HoLEP, whereas the control group consisted of 101 cases. Variables including age, body mass index, prostatic volume (PV), intravesical prostatic protrusion, prostate-specific antigen, prostate-specific antigen density, bladder stones, urinary tract infection, microscopic hematuria, prior biopsy (PB), diabetes, hypertension, history of acute urinary retention, 5-alpha reductase inhibitor treatment, catheter dependency, residual urine, region, smoking, and alcohol consumption were compared between the two groups. The risk factors for predicting the presence of IP were determined using a multivariable binary logistic regression model using a forward selection approach with a focus on improvement in the area under the receiver operating characteristic curve (AUC). RESULTS The incidence of IP was 51.4% (107/208). PV (OR = 0.977, p < 0.001) and PB (OR = 0.297, p = 0.028) were identified as the independent predictors of capsule plane status. PV with a cutoff of 54 ml had the best predictive effectiveness for IP based on AUC (0.727; 95% CI 0.659-0.795). The specificity and sensitivity of this cutoff were 82.2% and 53.3%, respectively. CONCLUSION PV is the most reliable factor to predict IP during HoLEP procedures. There is a high possibility of IP in patients with a PV less than 54 ml.
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Affiliation(s)
- Ke Liu
- Department of Urology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, 100191, China
| | - Xun Zhao
- Department of Urology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, 100191, China
| | - Ruotao Xiao
- Department of Urology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, 100191, China
| | - Lei Zhao
- Department of Urology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, 100191, China
| | - Chunlei Xiao
- Department of Urology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, 100191, China.
| | - Shudong Zhang
- Department of Urology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, 100191, China
| | - Lulin Ma
- Department of Urology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing, 100191, China
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Zhao X, Xiao D. [Research progress of mass-spectrometric technique in nucleic acid detection and analysis]. Zhonghua Yu Fang Yi Xue Za Zhi 2024; 58:98-106. [PMID: 38228556 DOI: 10.3760/cma.j.cn112150-20230129-00059] [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: 01/18/2024]
Abstract
Mass spectrometry is a spectroscopic technique for detecting the molecular weight of substances based on mass spectrometry equipment. Many types of mass spectrometry with different functions are widely used in scientific research and application technology development in various disciplines. In recent years, mass spectrometry has shown great potential in nucleic acid detection. In particular, matrix-assisted laser desorption/ionization time of flight mass spectrometry has become a research hotspot due to its velocity, high throughput, and accuracy. The nucleic acid research by mass spectrometry is highlighted in single nucleotide polymorphism, gene mutation, DNA methylation analysis, and DNA copy number variations. This article reviews the research and application of mass spectrometry in nucleic acid detection and analysis to provide a reference for the development of new detection technology for nucleic acid based on mass spectrometry.
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Affiliation(s)
- X Zhao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - D Xiao
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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Zhou Y, Zhao X, Xu J, Chen G, Tat T, Li J, Chen J. A multimodal magnetoelastic artificial skin for underwater haptic sensing. Sci Adv 2024; 10:eadj8567. [PMID: 38181088 PMCID: PMC10775997 DOI: 10.1126/sciadv.adj8567] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 12/05/2023] [Indexed: 01/07/2024]
Abstract
Future exploitation of marine resources in a sustainable and eco-friendly way requires autonomous underwater robotics with human-like perception. However, the development of such intelligent robots is now impeded by the lack of adequate underwater haptic sensing technology. Inspired by the populational coding strategy of the human tactile system, we harness the giant magnetoelasticity in soft polymer systems as an innovative platform technology to construct a multimodal underwater robotic skin for marine object recognition with intrinsic waterproofness and a simple configuration. The bioinspired magnetoelastic artificial skin enables multiplexed tactile modality in each single taxel and obtains an impressive classification rate of 95% in identifying seven types of marine creatures and marine litter. By introducing another degree of freedom in underwater haptic sensing, this work represents a milestone toward sustainable marine resource exploitation.
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Affiliation(s)
| | | | - Jing Xu
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Trinny Tat
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Justin Li
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA
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21
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Meng L, Sun Y, Zhao X, Meng DM, Liu Z, Adams DC, McDonagh DL, Rasmussen M. Effects of phenylephrine on systemic and cerebral circulations in humans: a systematic review with mechanistic explanations. Anaesthesia 2024; 79:71-85. [PMID: 37948131 DOI: 10.1111/anae.16172] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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] [Accepted: 10/03/2023] [Indexed: 11/12/2023]
Abstract
We conducted a systematic review of the literature reporting phenylephrine-induced changes in blood pressure, cardiac output, cerebral blood flow and cerebral tissue oxygen saturation as measured by near-infrared spectroscopy in humans. We used the proportion change of the group mean values reported by the original studies in our analysis. Phenylephrine elevates blood pressure whilst concurrently inducing a reduction in cardiac output. Furthermore, despite increasing cerebral blood flow, it decreases cerebral tissue oxygen saturation. The extent of phenylephrine's influence on cardiac output (r = -0.54 and p = 0.09 in awake humans; r = -0.55 and p = 0.007 in anaesthetised humans), cerebral blood flow (r = 0.65 and p = 0.002 in awake humans; r = 0.80 and p = 0.003 in anaesthetised humans) and cerebral tissue oxygen saturation (r = -0.72 and p = 0.03 in awake humans; r = -0.24 and p = 0.48 in anaesthetised humans) appears closely linked to the magnitude of phenylephrine-induced blood pressure changes. When comparing the effects of phenylephrine in awake and anaesthetised humans, we found no evidence of a significant difference in cardiac output, cerebral blood flow or cerebral tissue oxygen saturation. There was also no evidence of a significant difference in effect on systemic and cerebral circulations whether phenylephrine was given by bolus or infusion. We explore the underlying mechanisms driving the phenylephrine-induced cardiac output reduction, cerebral blood flow increase and cerebral tissue oxygen saturation decrease. Individualised treatment approaches, close monitoring and consideration of potential risks and benefits remain vital to the safe and effective use of phenylephrine in acute care.
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Affiliation(s)
- L Meng
- Department of Anesthesia, Indiana University School of Medicine, IA, Indianapolis, USA
| | - Y Sun
- Department of Anesthesiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Nanjing University Medical School, Nanjing, China
| | - X Zhao
- Department of Anesthesiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - D M Meng
- Choate Rosemary Hall School, CT, Wallingford, USA
| | - Z Liu
- Department of Biostatistics and Health Data Science, Indiana University School of Medicine, IA, Indianapolis, USA
| | - D C Adams
- Department of Anesthesia, Indiana University School of Medicine, IA, Indianapolis, USA
| | - D L McDonagh
- Departments of Anesthesiology and Pain Management, Neurological Surgery, Neurology and Neurotherapeutics, UT Southwestern Medical Center, TX, Dallas, USA
| | - M Rasmussen
- Department of Anesthesiology, Section of Neuroanesthesia, Aarhus University Hospital, Aarhus, Denmark
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22
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Wusiman D, Guo L, Li L, Zhang X, Zhao X, An Z, Huang Z, Zhang Y, Li Z, Ying J, Wei M, Li W, An C. Clinicopathological and prognostic significance of PD-L1 and TIM-3 expression in medullary thyroid carcinoma: a retrospective immunohistochemistry study. J Endocrinol Invest 2024; 47:91-100. [PMID: 37464189 PMCID: PMC10776706 DOI: 10.1007/s40618-023-02126-z] [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: 01/06/2023] [Accepted: 05/30/2023] [Indexed: 07/20/2023]
Abstract
PURPOSE Expression of the programmed death-ligand 1 (PD-L1) and T-cell immunoglobulin and mucin-domain containing-3 (TIM-3) in medullary thyroid carcinoma (MTC) has been controversial and rarely reported. METHODS Surgical specimens of 190 MTC patients who had initial curative-intent surgery were collected. Immunohistochemistry of PD-L1 and TIM-3 was performed using 22C3 pharmDx (Dako, Carpinteria, CA) and anti-TIM-3 (1:500, ab241332, Abcam). Stained slides were scored using a combined positive score (CPS) with a cutoff of ≥ 1. We established correlations between PD-L1 expression, TIM-3 expression, clinicopathological, and survival data. RESULTS 13 cases (13/190, 6.84%) were positive for PD-L1 expression, and 42 cases (42/154, 27.27%) for TIM-3 expression. PD-L1 expression was correlated to TIM-3 expression (P = 0.002), but was not related to overall survival (OS) or progression-free survival (PFS). TIM-3 expression was correlated to perineural invasion (P = 0.040). Multivariate Cox analysis showed that lymphovascular invasion (LVI) was independently associated with OS. And tumor size, LVI, and lymph node metastases were significantly associated with PFS. Furthermore, the multivariate logistic analysis showed multifocal status, LVI, pathological T stage and lymph node metastasis were independent risk factors for biochemical recurrence/persistent disease. CONCLUSIONS We demonstrated that PD-L1 and TIM-3 expression were not frequent in MTC and were not associated with survival prognosis. Our results should be considered when clinical trials of PD-L1 or TIM-3 blockades are implemented.
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Affiliation(s)
- D Wusiman
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - L Guo
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - L Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - X Zhang
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - X Zhao
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Z An
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Z Huang
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Y Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - Z Li
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - J Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China
| | - M Wei
- Department of Head and Neck Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 518116, Shenzhen, China.
| | - W Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
| | - C An
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.
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23
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Liu S, Deng J, Dong D, Fang M, Ye Z, Hu Y, Li H, Zhong L, Cao R, Zhao X, Shang W, Li G, Liang H, Tian J. Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer. Med Phys 2024; 51:267-277. [PMID: 37573524 DOI: 10.1002/mp.16647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 05/24/2023] [Accepted: 06/23/2023] [Indexed: 08/15/2023] Open
Abstract
BACKGROUND The potential prognostic value of extranodal soft tissue metastasis (ESTM) has been confirmed by increasing studies about gastric cancer (GC). However, the gold standard of ESTM is determined by pathologic examination after surgery, and there are no preoperative methods for assessment of ESTM yet. PURPOSE This multicenter study aimed to develop a deep learning-based radiomics model to preoperatively identify ESTM and evaluate its prognostic value. METHODS A total of 959 GC patients were enrolled from two centers and split into a training cohort (N = 551) and a test cohort (N = 236) for ESTM evaluation. Additionally, an external survival cohort (N = 172) was included for prognostic analysis. Four models were established based on clinical characteristics and multiphase computed tomography (CT) images for preoperative identification of ESTM, including a deep learning model, a hand-crafted radiomic model, a clinical model, and a combined model. C-index, decision curve, and calibration curve were utilized to assess the model performances. Survival analysis was conducted to explore the ability of stratifying overall survival (OS). RESULTS The combined model showed good discrimination of the ESTM [C-indices (95% confidence interval, CI): 0.770 (0.729-0.812) and 0.761 (0.718-0.805) in training and test cohorts respectively], which outperformed deep learning model, radiomics model, and clinical model. The stratified analysis showed this model was not affected by patient's tumor size, the presence of lymphovascular invasion, and Lauren classification (p < 0.05). Moreover, the model score showed strong consistency with the OS [C-indices (95%CI): 0.723 (0.658-0.789, p < 0.0001) in the internal survival cohort and 0.715 (0.650-0.779, p < 0.0001) in the external survival cohort]. More interestingly, univariate analysis showed the model score was significantly associated with occult distant metastasis (p < 0.05) that was missed by preoperative diagnosis. CONCLUSIONS The model combining CT images and clinical characteristics had an impressive predictive ability of both ESTM and prognosis, which has the potential to serve as an effective complement to the preoperative TNM staging system.
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Affiliation(s)
- Shengyuan Liu
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Jingyu Deng
- Department of Gastrointestinal Surgery, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Di Dong
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Mengjie Fang
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China
| | - Zhaoxiang Ye
- Department of Gastrointestinal Surgery, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Yanfeng Hu
- Nanfang Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Hailin Li
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China
| | - Lianzhen Zhong
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Runnan Cao
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Xun Zhao
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Wenting Shang
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Guoxin Li
- Nanfang Hospital of Southern Medical University, Guangzhou, Guangdong, China
| | - Han Liang
- Department of Gastrointestinal Surgery, Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Jie Tian
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China
- Beijing Key Lab of Molecular Imaging, Beijing, China
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24
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Chen K, Liu Z, Li Y, Zhao X, Wang G, Tian X, Zhang H, Ma L, Zhang S. Prevention, incidence, and risk factors of chyle leak after radical nephrectomy and thrombectomy. Cancer Med 2023; 13:e6858. [PMID: 38124432 PMCID: PMC10807595 DOI: 10.1002/cam4.6858] [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: 09/02/2023] [Revised: 11/25/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND To define the incidence and risk factors of chyle leak (CL) after radical nephrectomy and thrombectomy and to determine the impact of chyle leak on oncological outcomes. PATIENTS AND METHODS A total of 445 patients who underwent radical nephrectomy and thrombectomy between January 2014 and January 2023 were included. CL is defined as the drainage of chyle with a triglyceride level greater than 110 mg/dL after oral intake or enteral nutrition. Multivariate logistic regression analysis was performed to identify the risk factors of postoperative (CL). The Kaplan-Meier curves were used to compare overall survival and cancer-specific survival. RESULTS 44 patients (9.9%) were diagnosed as (CL). All patients developed CL within 6 days after the operation with a median time of 3 days. In multivariate logistic regression analysis, Mayo grade and side were independent patient-related risk factors. In addition, operation approach, operation time, and number of lymph nodes harvested were independent surgery-related risk factors. Between the CL group and the non-CL group, neither overall survival nor cancer-specific survival showed statistical differences. CONCLUSION Based on this retrospective study of renal cell carcinoma and tumor thrombus patients in our center, we found that the risk factors were Mayo grade, side, operation approach, operation time, and number of lymph nodes harvested, and the occurrence of CL significantly prolonged hospital stay, but had no effect on long-term oncological outcomes.
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Affiliation(s)
- Kewei Chen
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Zhuo Liu
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Yuxuan Li
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Xun Zhao
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Guoliang Wang
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Xiaojun Tian
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Hongxian Zhang
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Lulin Ma
- Department of UrologyPeking University Third HospitalBeijingP.R. China
| | - Shudong Zhang
- Department of UrologyPeking University Third HospitalBeijingP.R. China
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25
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Chen X, Sun SH, Xu Y, Zhang HW, Zhao X, Gao ZD. [Investigation on occupational burnout among medical staff of tuberculosis control in Beijing]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2023; 41:901-905. [PMID: 38195225 DOI: 10.3760/cma.j.cn121094-20221026-00515] [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: 01/11/2024]
Abstract
Objective: To understand the occupational burnout status of tuberculosis prevention and treatment medical staff in Beijing, and analyze the influencing factors of different degrees of occupational burnout. Methods: From April to May 2021, an anonymous questionnaire survey was conducted among the medical staff of tuberculosis prevention and control in Beijing and 16 districts under its jurisdiction. A total of 313 questionnaires were issued, 311 were recovered, and 311 were valid, with an effective recovery rate of 99.36%. The General Information Questionnaire and Maslach Burnout Inventory Generalized Scale (MBI-GS) were used to collect social demographic data and the occurrence of occupational burnout, analyze the occurrence degree of occupational burnout, and identify the influencing factors of the occurrence degree of occupational burnout by using the orderly multiple logistic regression model. Results: Among 311 tuberculosis prevention and control medical staff, the total detection rate of occupational burnout was 62.70% (195/311), and the detection rates of mild, moderate and severe occupational burnout were 22.19% (69/311), 38.59% (120/311) and 1.93% (6/311), respectively. Orderly multiple logistic regression analysis showed that medical staff in prevention and control positions (OR=1.616, 95% CI: 1.030-2.534, P=0.037) and not meeting expectations for title promotion (OR=2.969, 95%CI: 1.675-5.262, P<0.001), and not getting along well with colleagues (OR=2.177, 95%CI: 1.362-3.480, P=0.001) were the main factors affecting the occurrence and severity of occupational burnout among tuberculosis prevention and treatment medical staff. Conclusion: The main manifestations of tuberculosis prevention and control medical staff in Beijing are mild to moderate occupational burnout. It is suggested to pay attention to the occupational needs of different positions of tuberculosis prevention and control medical staff, cultivate professional achievement, carry out psychological counseling, and reduce the degree of occupational burnout.
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Affiliation(s)
- X Chen
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - S H Sun
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - Y Xu
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - H W Zhang
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - X Zhao
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
| | - Z D Gao
- Institute for Tuberculosis Prevention and Control of Beijing Center for Disease Prevention and Control, Beijing 100035, China
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26
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Rabindranath M, Naghibzadeh M, Zhao X, Holdsworth S, Brudno M, Sidhu A, Bhat M. Clinical Deployment of Machine Learning Tools in Transplant Medicine: What Does the Future Hold? Transplantation 2023:00007890-990000000-00616. [PMID: 38059716 DOI: 10.1097/tp.0000000000004876] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
Medical applications of machine learning (ML) have shown promise in analyzing patient data to support clinical decision-making and provide patient-specific outcomes. In transplantation, several applications of ML exist which include pretransplant: patient prioritization, donor-recipient matching, organ allocation, and posttransplant outcomes. Numerous studies have shown the development and utility of ML models, which have the potential to augment transplant medicine. Despite increasing efforts to develop robust ML models for clinical use, very few of these tools are deployed in the healthcare setting. Here, we summarize the current applications of ML in transplant and discuss a potential clinical deployment framework using examples in organ transplantation. We identified that creating an interdisciplinary team, curating a reliable dataset, addressing the barriers to implementation, and understanding current clinical evaluation models could help in deploying ML models into the transplant clinic setting.
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Affiliation(s)
- Madhumitha Rabindranath
- Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
| | - Maryam Naghibzadeh
- Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
| | - Xun Zhao
- Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
| | - Sandra Holdsworth
- Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
| | - Michael Brudno
- Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
| | - Aman Sidhu
- Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mamatha Bhat
- Transplant AI Initiative, Ajmera Transplant Program, University Health Network, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada
- Department of Medicine, University of Toronto, Toronto, ON, Canada
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Zhang X, Ding P, Chen Y, Lin Z, Zhao X, Xie H. Human umbilical cord mesenchymal stem cell-derived exosomes combined with gelatin methacryloyl hydrogel to promote fractional laser injury wound healing. Int Wound J 2023; 20:4040-4049. [PMID: 37429607 PMCID: PMC10681517 DOI: 10.1111/iwj.14295] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/08/2023] [Accepted: 06/16/2023] [Indexed: 07/12/2023] Open
Abstract
To investigate whether human umbilical cord mesenchymal stem cell-derived exosomes combined with gelatin methacryloyl (GelMA) hydrogel are beneficial in promoting healing of laser-injured skin wounds in mice. Supernatants of cultured human umbilical cord mesenchymal stem cells (HUC-MSCs) were collected to obtain human umbilical cord MSC-derived exosomes (HUC-MSCs-Exos), which were combined with GelMA hydrogel complex to treat a mouse fractional laser injury model. The study was divided into PBS group, EX (HUC-MSCs-Exos) group, GEL (GelMA hydrogel) group and EX+GEL (HUC-MSCs-Exos combined with GelMA hydrogel) group. The healing of laser-injured skin in each group was observed by gross view and dermatoscopy, and changes in skin structure, angiogenesis and proliferation-related indexes were observed during the healing process of laser-injured skin in each group. The results of the animal experiments showed that the EX and GEL groups alone and the EL+EX group exhibited less inflammatory response compared to the PBS group. The EX and GEL groups showed marked tissue proliferation and favourable angiogenesis, which promoted the wound healing well. The GEL+EX group had the most significant promotion of wound healing compared to the PBS group. qPCR results showed that the expression levels of proliferation-related factors, including KI67 and VEGF and angiogenesis-related factor CD31, were significantly higher in the GEL+EX group than in the other groups, with a time-dependent effect. The combination of HUC-MSCs-Exos and GelMA hydrogel is beneficial in reducing the early inflammatory response of laser-injured skin in mice and promoting its proliferation and angiogenesis, which in turn promotes wound healing.
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Affiliation(s)
- Xinling Zhang
- Department of Plastic SurgeryPeking University Third HospitalBeijingChina
| | - Pengbing Ding
- Department of Plastic SurgeryPeking University Third HospitalBeijingChina
| | - Yujie Chen
- Department of Plastic SurgeryPeking University Third HospitalBeijingChina
| | - Zhiyu Lin
- Department of Plastic SurgeryPeking University Third HospitalBeijingChina
| | - Xun Zhao
- Department of Plastic SurgeryPeking University Third HospitalBeijingChina
| | - Hongbin Xie
- Department of Plastic SurgeryPeking University Third HospitalBeijingChina
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Zhao X, Wang X, Wang S, Chen L, Sun S. Absolute and relative iodine concentrations in the spot sign and haematoma for prediction of haematoma expansion in spontaneous intracerebral haemorrhage. Clin Radiol 2023; 78:e950-e957. [PMID: 37690974 DOI: 10.1016/j.crad.2023.08.014] [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: 03/22/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 09/12/2023]
Abstract
AIM To explore the predictive value of absolute and relative iodine concentrations in the spot sign (SS) and haematoma on gemstone spectral imaging (GSI) for haematoma expansion (HE). MATERIALS AND METHODS Patients with spontaneous intracerebral haemorrhage (ICH) who underwent computed tomography (CT) angiography using GSI were divided into an SS-positive group and an SS-negative group. In the SS-positive group, absolute and relative iodine concentrations in the SS (aICIS and rICIS, respectively) were measured. In the SS-negative group, absolute and relative iodine concentrations in haematoma (aICIH and rICIH, respectively) were measured. The area under the receiver operating characteristic curve (AUC-ROC) was used to investigate the HE predictive performance of aICIS, rICIS, and their combination in the SS-positive group, as well as the HE predictive performance of aICIH, rICIH, and their combination in the SS-negative group. The risk variables for HE in the two groups were investigated separately using logistic regression. RESULTS A total of 123 spontaneous ICH patients were enrolled. In the SS-positive group, the AUC of aICIS, rICIS, and their combination for predicting HE were 0.853, 0.893, and 0.922, respectively. rICIS was demonstrated to be a standalone predictor of HE via logistic regression. In the SS-negative group, aICIH, rICIH, and their combination had AUC-ROC values of 0.552, 0.783, and 0.851, respectively, to predict HE. According to multivariate analysis, rICIH was a reliable predictor of HE. CONCLUSION Absolute and relative iodine concentrations in the SS and haematoma can predict HE.
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Affiliation(s)
- X Zhao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - X Wang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - S Wang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - L Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China
| | - S Sun
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China; Department of Radiology, Beijing Neurosurgical Institute, No. 119 Nansihuan Road, Fengtai District, Beijing 100070, China.
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29
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Che Z, O'Donovan S, Xiao X, Wan X, Chen G, Zhao X, Zhou Y, Yin J, Chen J. Implantable Triboelectric Nanogenerators for Self-Powered Cardiovascular Healthcare. Small 2023; 19:e2207600. [PMID: 36759957 DOI: 10.1002/smll.202207600] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Triboelectric nanogenerators (TENGs) have gained significant traction in recent years in the bioengineering community. With the potential for expansive applications for biomedical use, many individuals and research groups have furthered their studies on the topic, in order to gain an understanding of how TENGs can contribute to healthcare. More specifically, there have been a number of recent studies focusing on implantable triboelectric nanogenerators (I-TENGs) toward self-powered cardiac systems healthcare. In this review, the progression of implantable TENGs for self-powered cardiovascular healthcare, including self-powered cardiac monitoring devices, self-powered therapeutic devices, and power sources for cardiac pacemakers, will be systematically reviewed. Long-term expectations of these implantable TENG devices through their biocompatibility and other utilization strategies will also be discussed.
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Affiliation(s)
- Ziyuan Che
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Sarah O'Donovan
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiao Wan
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Guorui Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA
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Du B, Zhang W, Shao X, An J, Ma H, Zhao X, Xu L, An D, Tian Y, Dong Y, Niu H. "Triple-low" radiation dose bronchial artery CT angiography before bronchial artery embolisation: a feasibility study. Clin Radiol 2023; 78:e1017-e1022. [PMID: 37813755 DOI: 10.1016/j.crad.2023.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 09/01/2023] [Accepted: 09/12/2023] [Indexed: 10/11/2023]
Abstract
AIM To explore the feasibility of a "triple-low" dose (low tube voltage, low tube current, and low contrast agent volume) bronchial artery computed tomography (CT) angiography (CTA) to replace routine dose bronchial artery CTA before bronchial artery embolisation (BAE). MATERIALS AND METHODS CTA was obtained from 60 patients with body mass index (BMI) < 30 kg/m2 using a 256 multi-section iCT system, and they were divided into two groups: (1) group A: 100 kVp, 100 mAs, 50 ml contrast medium (CM); (2) group B: 120 kVp, automatic tube current modulation (ACTM), 80 ml CM. CT attenuation of the thoracic aorta, image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and subjective image quality scores and traceability scores assessed. The effective radiation dose was calculated. RESULTS The radiation dose was reduced by 79.7% in group A compared to group B (p<0.05). The CT attenuation of the thoracic aorta was increased by approximately 13% in group A compared to group B (p<0.05). Higher image noise, lower SNR, and CNR were obtained in group A compared to group B (all p<0.05). Both subjective image quality scores and traceability scores did not differ between groups A and B (both p>0.05). CONCLUSION It is feasible to use the "triple-low" dose CTA protocol for patients with a body mass index (BMI) < 30 kg/m2. The radiation dose was reduced by 79.7%, and the dose of contrast medium was reduced by 37.5% to ensure the diagnostic value.
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Affiliation(s)
- B Du
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - W Zhang
- Chengde Medical University, Anyuan Road, Chengde, 067000, Hebei, China
| | - X Shao
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - J An
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - H Ma
- Chengde Medical University, Anyuan Road, Chengde, 067000, Hebei, China
| | - X Zhao
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - L Xu
- Department of Radiology, Hebei Medical University, No. 361 Zhongshan East Road, Shijiazhuang, 050011, Hebei, China
| | - D An
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - Y Tian
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - Y Dong
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China
| | - H Niu
- Department of Interventional Treatment, First Hospital of Qinhuangdao, No. 258 Wenhua Road, Qinhuangdao, 066099, Hebei, China.
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Liu T, Dong D, Zhao X, Ou XM, Yi JL, Guan J, Zhang Y, Xiao-Fei L, Xie CM, Luo DH, Sun R, Chen QY, Xing L, Guo SS, Liu LT, Lin DF, Chen YZ, Lin JY, Luo MJ, Yan WB, He ML, Mao MY, Zhu MY, Chen WH, Shen BW, Wang SQ, Li HL, Zhong LZ, Hu CS, Wu DH, Mai HQ, Tian J, Tang LQ. Radiomic signatures reveal multiscale intratumor heterogeneity associated with tissue tolerance and survival in re-irradiated nasopharyngeal carcinoma: a multicenter study. BMC Med 2023; 21:464. [PMID: 38012705 PMCID: PMC10683300 DOI: 10.1186/s12916-023-03164-3] [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: 12/13/2022] [Accepted: 11/08/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Post-radiation nasopharyngeal necrosis (PRNN) is a severe adverse event following re-radiotherapy for patients with locally recurrent nasopharyngeal carcinoma (LRNPC) and associated with decreased survival. Biological heterogeneity in recurrent tumors contributes to the different risks of PRNN. Radiomics can be used to mine high-throughput non-invasive image features to predict clinical outcomes and capture underlying biological functions. We aimed to develop a radiogenomic signature for the pre-treatment prediction of PRNN to guide re-radiotherapy in patients with LRNPC. METHODS This multicenter study included 761 re-irradiated patients with LRNPC at four centers in NPC endemic area and divided them into training, internal validation, and external validation cohorts. We built a machine learning (random forest) radiomic signature based on the pre-treatment multiparametric magnetic resonance images for predicting PRNN following re-radiotherapy. We comprehensively assessed the performance of the radiomic signature. Transcriptomic sequencing and gene set enrichment analyses were conducted to identify the associated biological processes. RESULTS The radiomic signature showed discrimination of 1-year PRNN in the training, internal validation, and external validation cohorts (area under the curve (AUC) 0.713-0.756). Stratified by a cutoff score of 0.735, patients with high-risk signature had higher incidences of PRNN than patients with low-risk signature (1-year PRNN rates 42.2-62.5% vs. 16.3-18.8%, P < 0.001). The signature significantly outperformed the clinical model (P < 0.05) and was generalizable across different centers, imaging parameters, and patient subgroups. The radiomic signature had prognostic value concerning its correlation with PRNN-related deaths (hazard ratio (HR) 3.07-6.75, P < 0.001) and all causes of deaths (HR 1.53-2.30, P < 0.01). Radiogenomics analyses revealed associations between the radiomic signature and signaling pathways involved in tissue fibrosis and vascularity. CONCLUSIONS We present a radiomic signature for the individualized risk assessment of PRNN following re-radiotherapy, which may serve as a noninvasive radio-biomarker of radiation injury-associated processes and a useful clinical tool to personalize treatment recommendations for patients with LANPC.
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Affiliation(s)
- Ting Liu
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
- Breast Disease Center, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Di Dong
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xun Zhao
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Xiao-Min Ou
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jun-Lin Yi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Guan
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Ye Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lv Xiao-Fei
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Chuan-Miao Xie
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Radiology, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Dong-Hua Luo
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Rui Sun
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Qiu-Yan Chen
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Lv Xing
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Shan-Shan Guo
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Li-Ting Liu
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Da-Feng Lin
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Yan-Zhou Chen
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Jie-Yi Lin
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Mei-Juan Luo
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Wen-Bin Yan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Mei-Lin He
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Meng-Yuan Mao
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Man-Yi Zhu
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Wen-Hui Chen
- Department of Oncology, the First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Bo-Wen Shen
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Shi-Qian Wang
- Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, China
| | - Hai-Lin Li
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Lian-Zhen Zhong
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Chao-Su Hu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - De-Hua Wu
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Hai-Qiang Mai
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China.
| | - Lin-Quan Tang
- Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, China.
- Department of Nasopharyngeal Carcinoma, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.
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Wu S, Yang X, Zhao X, Li Z, Lu M, Xie X, Yan J. Applications and Advances in Machine Learning Force Fields. J Chem Inf Model 2023; 63:6972-6985. [PMID: 37751546 DOI: 10.1021/acs.jcim.3c00889] [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: 09/28/2023]
Abstract
Force fields (FFs) form the basis of molecular simulations and have significant implications in diverse fields such as materials science, chemistry, physics, and biology. A suitable FF is required to accurately describe system properties. However, an off-the-shelf FF may not be suitable for certain specialized systems, and researchers often need to tailor the FF that fits specific requirements. Before applying machine learning (ML) techniques to construct FFs, the mainstream FFs were primarily based on first-principles force fields (FPFF) and empirical FFs. However, the drawbacks of FPFF and empirical FFs are high cost and low accuracy, respectively, so there is a growing interest in using ML as an effective and precise tool for reconciling this trade-off in developing FFs. In this review, we introduce the fundamental principles of ML and FFs in the context of machine learning force fields (MLFF). We also discuss the advantages and applications of MLFF compared to traditional FFs, as well as the MLFF toolkits widely employed in numerous applications.
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Affiliation(s)
- Shiru Wu
- Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (Nanjing Tech), Nanjing 211816, P. R. China
| | - Xiaowei Yang
- Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (Nanjing Tech), Nanjing 211816, P. R. China
| | - Xun Zhao
- Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (Nanjing Tech), Nanjing 211816, P. R. China
| | - Zhipu Li
- Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (Nanjing Tech), Nanjing 211816, P. R. China
| | - Min Lu
- Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (Nanjing Tech), Nanjing 211816, P. R. China
| | - Xiaoji Xie
- Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (Nanjing Tech), Nanjing 211816, P. R. China
| | - Jiaxu Yan
- Key Laboratory of Flexible Electronics (KLOFE) & Institute of Advanced Materials (IAM), Nanjing Tech University (Nanjing Tech), Nanjing 211816, P. R. China
- Changchun Institute of Optics, Fine Mechanics & Physics (CIOMP), Chinese Academy of Sciences, Changchun 130033, P. R. China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, P. R. China
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Meng L, Yu Q, Zhao X, Chen L, Wang Y, Zhang W, Chen H, Chen Y. Purtscher-like retinopathy in systemic lupus erythematosus: clinical features, risk factors and prognosis. QJM 2023; 116:923-932. [PMID: 37665730 DOI: 10.1093/qjmed/hcad204] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Indexed: 09/06/2023] Open
Abstract
BACKGROUND Purtscher-like retinopathy (PLR) is a rare ocular manifestation in systemic lupus erythematosus (SLE) with poor prognosis, but its clear risk factors and treatment consensus are still lacking. AIM To investigate the clinical features, risk factors and prognosis of PLR in SLE patients. DESIGN AND METHODS A retrospective analysis was conducted on SLE patients with PLR admitted at Peking Union Medical College Hospital from 2013 to 2022. Clinical data, including demographic characteristics, lupus-related features, laboratory findings and ophthalmologic examinations, were collected and analyzed. The prognosis was evaluated based on best-corrected visual acuity and ophthalmologic outcomes. RESULTS Seventeen SLE patients (32 eyes) diagnosed with PLR were included, along with a random selection of 100 SLE patients without retinopathy and 100 with retinal microvasculopathy as controls. Patients with PLR had a significantly younger age, a higher proportion of hemolytic anemia, a shorter duration of SLE, a higher SLE disease activity index-2000 (SLEDAI-2K) score, higher erythrocyte sedimentation rate (ESR) values and lower hemoglobin (HGB) values than the group without retinopathy (P < 0.05). They also had a significantly higher SLEDAI-2K score, higher ESR values and higher white blood cell values (P < 0.05) than the Microvasculopathy group. The majority of eyes (22/26, 84.62%) achieved stabilization at the last follow-up, with different therapeutic strategies, while a few (4/26, 15.38%) experienced complications or progression. CONCLUSION This is the largest reported case series of PLR in SLE, which was associated with higher disease activity and poor visual prognosis. It was also associated with younger age, shorter SLE duration, concomitant hemolytic anemia, lower HGB and higher ESR value. Early recognition and prompt treatment are crucial for improving visual outcomes.
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Affiliation(s)
- L Meng
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Q Yu
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - X Zhao
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - L Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Wang
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - W Zhang
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - H Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Y Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China
- Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Wang Y, Zhao X, Wang P, Chen Y. Gas Evolution Principle during Gas Drainage from a Drill Hole along the Coal Seam and Reasonable Borehole Layout Spacing. ACS Omega 2023; 8:44338-44349. [PMID: 38027345 PMCID: PMC10666153 DOI: 10.1021/acsomega.3c07456] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 10/26/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023]
Abstract
The efficiency of coal seam gas drainage can be further improved by the accurate mastery of the gas evolution principle during gas drainage from the drill hole along the coal seam and reasonable optimization of borehole layout spacing. Based on the actual geological conditions of the no. 2 coal seam in a coal mine in Guizhou, China, and relevant control equations, a fluid-structure interaction model of gas drainage from a drill hole along the coal seam was established in this paper. Besides, numerical simulation research on the gas evolution principle during gas drainage along the coal seam and optimization of the borehole layout spacing was carried out with the COMSOL simulation software; and these were verified in combination with the project site. The results showed that in the early stage of gas drainage the gas pressure in the area near the drill holes decreased significantly. As the gas drainage went on, the degree of influence decreased gradually. During the gas drainage from adjacent drill holes, the gas pressure in the coal body between the holes decreased rapidly, and the migration was obvious. With the increase of the spacing between the drill holes, the drainage superposition effect between these holes gradually decreased until the influence area around a single hole is independently distributed in a circle-like shape, indicating that the optimization and the reasonable spacing of the drill holes are directly related to the effect of the gas drainage. With the increase of drilling spacing, the superposition effect of extraction between the holes gradually decreased until the influence area around a single hole is independently distributed in the shape of a circle, indicating that the optimization of drilling spacing is directly related to the effect of gas drainage. The results of numerical simulation were verified by analyzing the three-dimensional map of the gas pressure during the period of gas drainage at the project site and by comparing and examining the rational borehole layout spacing of the drill hole along the coal seam. The results of this study can be used to determine the spacing of gas extraction boreholes and improve the efficiency of gas extraction in the no. 2 coal seam of a coal mine in Guizhou, China, as well as to provide a reference for the gas pressure evolution, velocity field distribution, the prediction of effective drainage area, and the selection of rational borehole layout spacing during gas drainage.
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Affiliation(s)
- Yutian Wang
- School
of Resources Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411100, China
| | - Xun Zhao
- Guizhou
Mine Safety Scientific Research Institute Co., Ltd., Guiyang 550025, China
- Guizhou
Coal Mine Design Research Institute Co., Ltd., Guiyang 550025, China
| | - Pengfei Wang
- School
of Resources Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411100, China
- Safety
Production Laboratory for Gas and Roof Disaster Control of Nanfang
Coal Mine, Hunan University of Science and
Technology, Xiangtan 411100, China
| | - Yong Chen
- School
of Resources Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411100, China
- State
Key Laboratory of Gas Disaster Monitoring and Emergency Technology, Chongqing 400037, China
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Yu J, Wu S, Zhao X, Li Z, Yang X, Shen Q, Lu M, Xie X, Zhan D, Yan J. Progress on Two-Dimensional Transitional Metal Dichalcogenides Alloy Materials: Growth, Characterisation, and Optoelectronic Applications. Nanomaterials (Basel) 2023; 13:2843. [PMID: 37947689 PMCID: PMC10649960 DOI: 10.3390/nano13212843] [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: 08/31/2023] [Revised: 09/26/2023] [Accepted: 10/17/2023] [Indexed: 11/12/2023]
Abstract
Two-dimensional (2D) transitional metal dichalcogenides (TMDs) have garnered remarkable attention in electronics, optoelectronics, and hydrogen precipitation catalysis due to their exceptional physicochemical properties. Their utilisation in optoelectronic devices is especially notable for overcoming graphene's zero-band gap limitation. Moreover, TMDs offer advantages such as direct band gap transitions, high carrier mobility, and efficient switching ratios. Achieving precise adjustments to the electronic properties and band gap of 2D semiconductor materials is crucial for enhancing their capabilities. Researchers have explored the creation of 2D alloy phases through heteroatom doping, a strategy employed to fine-tune the band structure of these materials. Current research on 2D alloy materials encompasses diverse aspects like synthesis methods, catalytic reactions, energy band modulation, high-voltage phase transitions, and potential applications in electronics and optoelectronics. This paper comprehensively analyses 2D TMD alloy materials, covering their growth, preparation, optoelectronic properties, and various applications including hydrogen evolution reaction catalysis, field-effect transistors, lithium-sulphur battery catalysts, and lasers. The growth process and characterisation techniques are introduced, followed by a summary of the optoelectronic properties of these materials.
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Affiliation(s)
- Jia Yu
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Shiru Wu
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Xun Zhao
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Zhipu Li
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Xiaowei Yang
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Qian Shen
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Min Lu
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Xiaoji Xie
- Key Laboratory of Flexible Electronics (KLOFE), Institute of Advanced Materials (IAM), Nanjing Tech University, Nanjing 211816, China
| | - Da Zhan
- Changchun Institute of Optics, Fine Mechanics & Physics (CIOMP), Chinese Academy of Sciences, Changchun 130033, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China
| | - Jiaxu Yan
- Changchun Institute of Optics, Fine Mechanics & Physics (CIOMP), Chinese Academy of Sciences, Changchun 130033, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 100049, China
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Xiao X, Zhou Y, Yin J, Zhao X, Chen J. In-ear electrophysichochemical sensing. Nat Biomed Eng 2023; 7:1207-1209. [PMID: 37848559 DOI: 10.1038/s41551-023-01097-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2023]
Affiliation(s)
- Xiao Xiao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Yihao Zhou
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Junyi Yin
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Xun Zhao
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jun Chen
- Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, USA.
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Xu M, Chen R, Xing P, Kong Y, Zhang J, Zhao X, Zhang L. An Innovative Regimen Basing on HFRT/SBRT and RC48-ADC Coactivation for Salvage Therapy in Patients with HER2-Expressing Advanced Solid Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e158. [PMID: 37784749 DOI: 10.1016/j.ijrobp.2023.06.985] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) It is now widely accepted that radiotherapy, especially hypofractionated radiation therapy (HFRT) or stereotactic radiotherapy (SBRT), can modulate tumor phenotypes, enhance antigen presentation and provoke a systemic immune response which gives a strong rationale for the combination of RT and immunotherapy (iRT). The PRaG therapy is an innovative iRT, when combined with HFRT/SBRT, PD-1/L1 inhibitor and GM-CSF to activate the immune response and modulate the tumor microenvironment to exert the desired in abscopal effect. Previous studies have demonstrated encouraging efficacy of the PRaG regimen in the treatment of advanced refractory tumors. RC48-ADC is a promising anti-HER2 antibody-drug conjugate with inducing immunogenic cell death and widespread release of cancer cell antigens, synergize with immunotherapy by promoting effector T-cell activation. The aim of this study is to explore efficacy and safety of RC48-ADC combined with radiotherapy, PD-1/L1 inhibitor sequential GM-CSF and IL-2(PRaG3.0 regimen) for treatment of HER2-expressing advanced solid tumors. MATERIALS/METHODS Participants with advanced, confirmed HER2-expressing (IHC3+, 2+ or 1+) solid tumors that had progressed after standard treatment, or intolerance were enrolled. In a PRaG3.0 regimen cycle, those received RC48-ADC (2.0 mg/kg d1, every 3 weeks), then HFRT (2-3 doses of 5-8 Gy) was delivered for one metastatic lesion every other day, followed by GM-CSF (200 μg d3-7), sequential IL-2(2million IU d8-12), and PD-1/L1 inhibitor was dosing within one week after completion of HFRT. After RC48-ADC combined with PD-1/L1 inhibitor sequential GM-CSF and IL-2 for at least 6 cycles, then maintenance with PD-1/L1 inhibitor was administered until disease progression or unacceptable toxicity. The primary endpoint was objective response rate (ORR). This trial is registered with ClinicalTrials.gov, number NCT05115500. RESULTS With the cutoff date of 31 December 2022, a total of 30 patients (n = 6 for gynecological cancer, n = 5 for pancreatic cancer, n = 19 for other cancers) were enrolled, in which 21 patients completed at least 1 tumor assessment. The objective response rate (ORR) was 42.9%, and the disease control rate was 71.4% by RECIST1.1. The ORR was 66.7% in gynecological cancer, 25.3% in pancreatic cancer, and 36.4% in other cancers. Median progression-free survival (PFS) for all patients was 7.0 months (95% CI: 3.4, 10.7). The most common treatment-related adverse events (TRAEs) included fatigue, fever, alopecia and anorexia. Grade ≥3 TRAEs occurred in two patients (6.7%). CONCLUSION These preliminary results show that of PRaG3.0 regimen has a manageable safety profile and encouraging antitumor activity in heavily pretreated patients with HER2- expressing cancers. Ultimately the regimen achieved the accurate integration of RT, immunotherapy and targeted therapy.
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Affiliation(s)
- M Xu
- Institution of Radiotherapy & Oncology, Soochow University, Suzhou, China, Suzhou, China; Laboratory for Combined Radiotherapy and Immunotherapy of Cancer, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - R Chen
- The Second Affiliated Hospital of Soochow University, Suzhou, China; Institute of Radiation Oncology, Soochow University, Suzhou, China
| | - P Xing
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University; Institute of Radiotherapy & Oncology, Soochow University; Suzhou Key Laboratory for Radiation Oncology, Suzhou, China
| | - Y Kong
- Department of Radiotherapy& Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - J Zhang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University; Institute of Radiotherapy & Oncology, Soochow University; Suzhou Key Laboratory for Radiation Oncology, Suzhou, China; Suzhou Radiotherapy Clinical Medical Center, Suzhou, China
| | - X Zhao
- Department of Radiotherapy& Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - L Zhang
- Institute of Radiotherapy & Oncology, Soochow University, Suzhou, China
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Zhao X, Li C, Yang H, Wei H, Li Y. Antibacterial Activity of a Lysin LysP53 against Streptococcus mutans. J Dent Res 2023; 102:1231-1240. [PMID: 37698342 DOI: 10.1177/00220345231182675] [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] [Indexed: 09/13/2023] Open
Abstract
Dental caries is a common disease affecting quality of life globally. In the present study, we found that a bacteriophage lysin LysP53 against Acinetobacter baumannii possesses selective activity on Streptococcus mutans, the main etiological agent of dental caries, even in low pH caries microenvironments, whereas only minor LysP53 activity was detected against Streptococcus sanguinis, Streptococcus oralis, and Streptococcus mitis. Testing activity against S. mutans planktonic cells showed that 4 μM LysP53 could kill more than 84% of S. mutans within 1 min in buffer with optimal pHs ranging from 4.0 to 6.5. Daily application of LysP53 on biofilms formed in BHI medium supplemented or not with sucrose could reduce exopolysaccharides, expression of genes related to acid resistance and adhesion, and the number of live bacteria in the biofilms. LysP53 treatment also showed similar effects as 0.12% chlorhexidine in preventing enamel demineralization due to S. mutans biofilms, as well as effective removal of S. mutans colonization of tooth surfaces in mice without observed toxic effects. Because of its selective activity against main cariogenic bacteria and good activity in low pH caries microenvironments, it is advantageous to use LysP53 as an active agent for preventing caries.
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Affiliation(s)
- X Zhao
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School of Stomatology, Wuhan University, Wuhan, Hubei, China
| | - C Li
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - H Yang
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - H Wei
- CAS Key Laboratory of Special Pathogens and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Y Li
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine, Ministry of Education, School of Stomatology, Wuhan University, Wuhan, Hubei, China
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Cordero T, Beagen PL, Daly ME, Monjazeb AM, Zhao X. 3D Surface Imaging in Reducing Setup Error for Prone Whole Breast Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e172. [PMID: 37784782 DOI: 10.1016/j.ijrobp.2023.06.1014] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) For patients undergoing whole breast radiotherapy, treatment in the prone position allows for reduced dose to critical organs such as the heart and lungs. However, this treatment position comes with greater challenges in reproducibility and setup error given the unstable position. Our objective was to investigate the benefit of using 3D surface imaging to reduce daily setup errors for these patients. MATERIALS/METHODS We performed a retrospective review of consecutive breast patients receiving prone breast radiotherapy at our institution. All patients were positioned initially using setup tattoos and twice a week, the positioning was adjusted using the aid of a motion tracking system. Then, a daily kilovoltage (kV) cone beam computed tomography (CBCT) image was acquired and positioning was adjusted to setup the breast and chest wall. Shifts in each translational direction were recorded and the three-dimensional vector displacement was calculated. For each patient the average displacements on days where a motion tracking system was used were compared to days whereas motion tracking system was not used. Patients were classified into significant benefit (more than 4 mm improvement), small benefit (0-4 mm improvement) or increased error (increased shifts on days a motion tracking system was used). Patient demographics were collected including stage, BMI, weight, heigh, age, ethnicity. Comparisons were made using t-tests. RESULTS A total of 40 patients with stage T0-2N0 breast cancer were included. The median age was 64 and 60% of patients had left sided breast cancer. A total of 665 daily CBCT scans were analyzed, and the median daily vector displacement was 7.2 mm (1-21 mm). The median displacement on treatments where a motion tracking system was used (41% of treatments) was 6.1 mm versus 8.1 mm when not used (p<.0001). The use of a motion tracking system significantly reduced the occurrence of shifts more than 1 cm (12% vs. 33%, p < .0001) and 5 mm (65% vs. 83% p < .0001). For individual patients, 28% showed a significant improvement, 55% showed small improvement, 17% showed increased error. The median BMI was 27, weight was 71 kg, and neither was associated with an improvement in the use of Align RT (p > .05). However, patients in the small improvement group had a higher BMI than patients in the other two groups 29 vs. 25 (p = .01). A similar association was seen for weight (p < .05). No association was found for the benefit of a motion tracking system for height, age, stage or ethnicity. CONCLUSION The use of 3D surface imaging for breast cancer patients receiving prone whole breast radiotherapy on average significantly reduced setup errors. For patients with higher BMI there was a consistent small reduction in setup error when compared to using setup marks alone. For patients with lower BMI, caution should be exercised as there was more variation with some patients demonstrating a large benefit and other patients having an increased setup error with the use of surface imaging. Further research is needed to investigate on the optimal use of this technology.
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Affiliation(s)
- T Cordero
- University of California Los Angeles, Los Angeles, CA
| | - P L Beagen
- UC Davis Comprehensive Cancer Center, Sacramento, CA, United States
| | - M E Daly
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - A M Monjazeb
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
| | - X Zhao
- University of California Davis Comprehensive Cancer Center, Sacramento, CA
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Xing P, Yang J, Xu M, Kong Y, Zhang J, Zhao X, Zhang L. A Prospective Clinical Trial of Radiotherapy Combined with PD-1 Inhibitors and GM-CSF, Sequentially Followed by IL-2 (PRaG 2.0) Regimen in Advanced Refractory Solid Tumors. Int J Radiat Oncol Biol Phys 2023; 117:e157-e158. [PMID: 37784748 DOI: 10.1016/j.ijrobp.2023.06.984] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiotherapy could stimulate the immune response and might synergize with PD-1/PD-L1 inhibitors in the clinical treatment of malignancies. Our previous PRaG trial also demonstrated that SBRT/HFRT in combination with PD-1 inhibitors and granulocyte macrophage-colony stimulating factor (GM-CSF) could improve clinical response in patients with advanced refractory solid tumors (ChiCTR1900026175). To further improve the efficacy of immunotherapy combined with radiotherapy, we conducted the PRaG 2.0 trial (ClinicalTrials.gov: NCT04892498) and optimized the PRaG regimen by adding interleukin-2 (IL-2). Preliminary results of PRaG 2.0 had been reported in the 64th ASTRO. Now we report an updated result. MATERIALS/METHODS The PRaG 2.0 regimen was administered to patients with advanced refractory solid tumors who lacked or were unable to tolerate standard-of-care treatments. A treatment cycle consisted of SBRT or HFRT (5 or 8 Gy×2-3f) delivered for one metastatic lesion, PD-1 inhibitor dosing within one week after completion of radiotherapy, GM-CSF 200μg subcutaneous (SC) injection once daily for 7 days, and then sequentially followed by IL-2 2million IU SC once daily for 7 days. PRaG 2.0 regimen was repeated every 21 days for at least 2 cycles until no appropriate lesions for irradiation or reached the tolerance dose of normal tissues. Patients who could not continue radiotherapy and had not yet developed progression disease (PD) allowed PD-1 inhibitors to be continued as maintenance therapy until PD or unacceptable toxicity but no more than one year. The primary endpoint was Progression-Free Survival (PFS). RESULTS As of 31st October 2022, 51 patients were enrolled in the study, and 42 completed at least one tumor assessment. The median Progression-Free Survival (PFS) was 5.8 months, and the median overall survival (OS) was 13.5 months. The objective response rate (ORR) was 21.4%, and the disease control rate (DCR) was 61.9% according to RECIST version 1.1. Lower plasma levels of Interleukin (IL)-6 and IL-17 at baseline were found to be associated with improved PFS. Treatment-related adverse events (TRAE) occurred in 34 of 42 (78.6%) patients, Grade ≥ 3 TRAEs occurred in 4 patients (9.5%). TRAEs leading to discontinuation of all study treatments occurred in three patients (7.1%). CONCLUSION The PRaG 2.0 trial demonstrates that PD-1 inhibitors in combination with SBRT/HFRT, GM-CSF, and IL-2 could be a potential treatment regimen for patients with advanced refractory solid tumors, with an acceptable benefit/risk profile.
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Affiliation(s)
- P Xing
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University; Institute of Radiotherapy & Oncology, Soochow University; Suzhou Key Laboratory for Radiation Oncology, Suzhou, China
| | - J Yang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - M Xu
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Y Kong
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - J Zhang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - X Zhao
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - L Zhang
- Department of Radiotherapy & Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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Liang WR, Kang R, Zhao X, Zhang L, Jing LP, Yang WR, Li Y, Ye L, Zhou K, Li JP, Fan HH, Yang Y, Xiong YZ, Zhang FK. [Clinical characteristics of aplastic anemia patients with abnormal autoantibodies and the impact of autoantibodies on immunosuppressive therapy response]. Zhonghua Nei Ke Za Zhi 2023; 62:1200-1208. [PMID: 37766439 DOI: 10.3760/cma.j.cn112138-20230201-00045] [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: 09/29/2023]
Abstract
Objective: To investigate the clinical characteristics of patients with acquired aplastic anemia (AA) accompanied by abnormal antinuclear antibody (ANA) and autoantibodies and their effects on the efficacy of immunosuppressive therapy (IST). Method: A retrospective case-control study was conducted, analyzing the clinical data of 291 patients with AA who underwent IST and were screened for autoantibodies at initial diagnosis between January 2018 and December 2019 at Blood Diseases Hospital, Chinese Academy of Medical Sciences. According to the titer of ANA at the initial diagnosis, extracted nuclear antigen antibodies (ENAs) abnormality and the change of ANA titer after treatment, the treatment responses of 3 months and 6 months after IST were compared. The correlation between clinical features and ANA abnormality was analyzed by univariate and multivariate logistic regression analysis. The parameters of univariate analysis P<0.1 were included in multivariate analysis, stepwise regression analysis and subgroup analysis. Results: A total of 291 patients were included in the study, of which 145 (49.83%) were male. Among all patients, 147 (50.52%) tested positive for ANA at initial diagnosis, with titers of 1∶100, 1∶320, and 1∶1 000 observed in 94, 47, and 6 cases, respectively. Female gender, older age, presence of paroxysmal nocturnal hemoglobinuria (PNH) clone, and higher levels of IgG, IgA, and thyroid hormone were significantly associated with ANA positivity at initial diagnosis, while white cell counts, reticulocytes, and free triiodothyronine were significantly lower than that of ANA-negatively patients (all P<0.05). Furthermore, logistic regression analyses revealed that female gender (OR=1.980, 95%CI 1.206-3.277), older age (OR=1.017, 95%CI 1.003-1.032), and presence of PNH clone (OR=1.875, 95%CI 1.049-3.408) were independent risk factors for ANA positivity at initial diagnosis. Subgroup analysis indicated that the risk of ANA positivity at initial diagnosis was even higher in PNH clone-positive patients in the subgroups of females (OR=1.24, 95%CI 1.02-1.51), severe AA (OR=1.26, 95%CI 1.07-1.47), and age≥40 years (OR=1.26, 95%CI 1.05-1.52) (all P<0.05). However, ANA titers at initial diagnosis, presence of other abnormal ENAs, and changes in ANA titers after treatment with IST were not correlated with treatment response (all P>0.05). Conclusions: Approximately 50% of patients with AA had abnormal ANA, and their presence was significantly associated with female gender, older age, and presence of PNH clone at initial diagnosis. However, the presence of abnormal ANA and changes in ANA titers after treatment did not affect the efficacy of IST in patients with AA.
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Affiliation(s)
- W R Liang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - R Kang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - X Zhao
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L Zhang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L P Jing
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - W R Yang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - L Ye
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - K Zhou
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - J P Li
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - H H Fan
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Yang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - Y Z Xiong
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
| | - F K Zhang
- Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Tianjin 300020, China
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Zhao X, Fang H, Jing H, Zhang N, Zhang J, Jin J, Zhong Q, Yang WF, Zhong Y, Dong L, Tie J, Wu HF, Wang XH, Lu Y, Hou X, Zhao L, Qi S, Song Y, Liu Y, Tang Y, Lu N, Chen B, Tang Y, Li Y, Wang S. Lymphocyte Count Kinetics and the Effect of Different Radiotherapy Techniques on Radiation-Induced Lymphopenia in Patients with Breast Cancer Receiving Hypofractionated Postmastectomy Radiotherapy. Int J Radiat Oncol Biol Phys 2023; 117:e216-e217. [PMID: 37784888 DOI: 10.1016/j.ijrobp.2023.06.1112] [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] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) Radiation-induced lymphopenia (RIL) is associated with poor prognosis in solid tumors. This study aimed to describe the lymphocyte kinetics in patients with breast cancer receiving hypofractionated postmastectomy radiotherapy (RT) and to investigate the association of different RT techniques with RIL. MATERIALS/METHODS We assessed 607 patients who received hypofractionated postmastectomy RT for breast cancer in our prospective clinical database from 8 hospitals. All patients received irradiation to the chest wall and supraclavicular fossa. RT techniques included integrated RT with the photon-based intensity modulated techniques to irradiate all target volumes (integrated RT) and a hybrid approach combining photon irradiation to supraclavicular nodes and electron irradiation to the chest wall (hybrid RT). Peripheral lymphocyte counts (PLC) were tested prior to RT (baseline), weekly during RT, at 1, 2 weeks, 3, 6 months after RT, and then every 6 months. Grade 3+ RIL was defined as PLC nadir during RT of <0.5 ×103/ml. Mean PLC was compared by the t test. Univariate, multivariate, and propensity score matching (PSM) analyses were used to evaluate the effect of different RT techniques on grade 3+ RIL. RESULTS During RT, 121 (19.9%) of patients had grade 3+ RIL. The PLC started to recover at 1 week and reached baseline levels 1 year after RT. A greater proportion of the patients treated with the integrated RT (90/269, 33.5%) developed grade 3+ PLC compared with those receiving hybrid RT (31/338, 9.2%, P < 0.001). After conducting PSM, multivariate analyses showed lower baseline PLC (HR = 0.15, P<0.001) and RT technique (the integrated RT vs. hybrid RT, HR = 4.76, P<0.001) were independent risk factors for grade 3+ RIL. The PLC in patients receiving the integrated RT after RT were higher than that in those receiving hybrid RT (p<0.05). CONCLUSION RT technique affect the risk of and recovery from RIL, which may impact survival. Choosing appropriate RT technique to minimize RIL might be considered to benefit their outcomes.
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Affiliation(s)
- X Zhao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - H Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - H Jing
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Zhang
- Department of Radiation Oncology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - J Zhang
- Department of Radiation Oncology, Forth Hospital of Hebei Medical University, Shijiazhuang, China
| | - J Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Q Zhong
- Department of Radiation Oncology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - W F Yang
- Department of Radiation Oncology, Affiliated Taizhou hospital of Wenzhou Medical University, Taizhou, China
| | - Y Zhong
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - L Dong
- Department of Radiation Oncology, The First Hospital, Jilin University, Changchun, China
| | - J Tie
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology, Peking University Cancer Hospital and Institute, Beijing, China
| | - H F Wu
- Department of Radiation Oncology, Jilin Cancer Hospital, Changchun, China
| | - X H Wang
- Department of Radiochemotherapy, People's Hospital of Tangshan City, Tangshan, China
| | - Y Lu
- Department of Radiation Oncology, Cancer Hospital of Henan Province, Zhengzhou, Henan, China
| | - X Hou
- Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of medical Sciences & Peking Union Medical College, Beijing, China
| | - L Zhao
- Department of Radiation Oncology, Xijing Hospital, Fourth Military Medical University, Xi'an, China
| | - S Qi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - N Lu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - B Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Tang
- GCP center/Clinical research center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Y Li
- Department of Radiation Oncology, National Cancer Center/ National Clinical Research Center for Cancer/ Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - S Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhao K, Zhao X, Gao T, Li X, Wang G, Pan X, Wang J. Dielectrophoresis-assisted removal of Cd and Cu heavy metal ions by using Chlorella microalgae. Environ Pollut 2023; 334:122110. [PMID: 37390915 DOI: 10.1016/j.envpol.2023.122110] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/13/2023] [Accepted: 06/24/2023] [Indexed: 07/02/2023]
Abstract
A novel dielectrophoresis (DEP)-assisted device for the bioremediation of heavy metal ions by using Chlorella microalgae is presented in this paper. To generate the DEP forces, pairs of electrode mesh were inserted in the DEP-assisted device. By applying DC electric field via the electrodes, the inhomogeneous electric field gradient is induced and the strongest non-uniform electric field exists near the mesh cross-corner. After the adsorption of Cd and Cu heavy metal ions by Chlorella, the Chlorella chain were trapped along the vicinity of the electrode mesh. Then, the effects of Chlorella concentration on the adsorption of heavy metal ions, and the applied voltage and electrode mesh size on the removal of Chlorella are conducted. In the co-existing Cd and Cu solutions, the individual adsorption ratio of Cd and Cu reaches as high as approximately 96% and 98%, respectively, showing excellent bioremediation capability of multiple heavy metal ions in wastewater. By adjusting the applied electric voltage and the mesh size, the Chlorella adsorbed with Cd and Cu are captured by negative DC-DEP effects and the removal ratio of Chlorella reach an average of 97%, providing a method for the removal of multiple heavy metal ions in wastewater by using Chlorella microalgae.
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Affiliation(s)
- Kai Zhao
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, 116026 Dalian, China; Department of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China
| | - Xun Zhao
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, 116026 Dalian, China; Department of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China
| | - Tianbo Gao
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, 116026 Dalian, China; Department of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China
| | - Xuan Li
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, 116026 Dalian, China; Department of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China
| | - Guanqi Wang
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, 116026 Dalian, China; Department of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China
| | - Xinxiang Pan
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, 116026 Dalian, China; Department of Maritime, Guangdong Ocean University, 524000, Zhanjiang, China
| | - Junsheng Wang
- Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, 116026 Dalian, China; Department of Information Science and Technology, Dalian Maritime University, 116026, Dalian, China.
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44
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Wu M, Bai J, Xue M, Zhao X, Mao L, Chen L. Oxygen vacancy enriched Na 1.19V 8O 20·4.42H 2O nanosheets for fast and stable Zn-ion batteries. Chem Commun (Camb) 2023; 59:11668-11671. [PMID: 37695576 DOI: 10.1039/d3cc03505k] [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] [Indexed: 09/12/2023]
Abstract
Here, a facile hydrothermal method is employed to prepare an oxygen vacancy enriched sodium-ion intercalation Na1.19V8O20·4.42H2O nanosheet cathode with large interlayer spacing, fast reaction kinetics, and stable structure for superior zinc-ion batteries (ZIBs). The assembled ZIB exhibits a high specific capacity and excellent structural stability without capacity decay over 2000 cycles. Moreover, the multiple ion co-intercalation mechanism and partial phase transition mechanism are elucidated based on ex situ characterization techniques.
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Affiliation(s)
- Mengcheng Wu
- Department of Applied Chemistry, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
| | - Jie Bai
- Department of Applied Chemistry, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
| | - Mengda Xue
- Department of Applied Chemistry, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
| | - Xun Zhao
- Department of Applied Chemistry, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
| | - Lei Mao
- Department of Applied Chemistry, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
| | - Lingyun Chen
- Department of Applied Chemistry, School of Chemistry and Chemical Engineering, Chongqing University, Chongqing 401331, P. R. China.
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45
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Zhao X, Chen Q. [The official-private game of ginseng trade between China and Korea in modern times]. Zhonghua Yi Shi Za Zhi 2023; 53:277-285. [PMID: 37935510 DOI: 10.3760/cma.j.cn112155-20220208-00013] [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: 11/09/2023]
Abstract
As culturally friendly countries, China and the Korean Peninsula have had active medical exchanges throughout history, which had a significant impact on the traditional medicine industry and daily life of both sides. Ginseng is an important commodity in the drug trade between China and Korea, and its profits are lucrative and an important source of fiscal revenue for the Korean government.In modern times, lured by huge profits, some Korean and Chinese businessmen have engaged in ginseng smuggling, even government officials.In order to safeguard the interests of the official camp, the two governments have always severely punished smuggling, but ginseng smuggling has not disappeared, and the game between official and private ginseng has become a unique phenomenon in the medical exchanges between China and Korea.
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Affiliation(s)
- X Zhao
- School of Health Humanities, Peking University,Beijing 100191,China
| | - Q Chen
- School of Health Humanities, Peking University,Beijing 100191,China
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46
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Abe K, Akhlaq N, Akutsu R, Ali A, Alonso Monsalve S, Alt C, Andreopoulos C, Antonova M, Aoki S, Arihara T, Asada Y, Ashida Y, Atkin ET, Barbi M, Barker GJ, Barr G, Barrow D, Batkiewicz-Kwasniak M, Bench F, Berardi V, Berns L, Bhadra S, Blanchet A, Blondel A, Bolognesi S, Bonus T, Bordoni S, Boyd SB, Bravar A, Bronner C, Bron S, Bubak A, Buizza Avanzini M, Caballero JA, Calabria NF, Cao S, Carabadjac D, Carter AJ, Cartwright SL, Catanesi MG, Cervera A, Chakrani J, Cherdack D, Chong PS, Christodoulou G, Chvirova A, Cicerchia M, Coleman J, Collazuol G, Cook L, Cudd A, Dalmazzone C, Daret T, Davydov YI, De Roeck A, De Rosa G, Dealtry T, Delogu CC, Densham C, Dergacheva A, Di Lodovico F, Dolan S, Douqa D, Doyle TA, Drapier O, Dumarchez J, Dunne P, Dygnarowicz K, Eguchi A, Emery-Schrenk S, Erofeev G, Ershova A, Eurin G, Fedorova D, Fedotov S, Feltre M, Finch AJ, Fiorentini Aguirre GA, Fiorillo G, Fitton MD, Franco Patiño JM, Friend M, Fujii Y, Fukuda Y, Fusshoeller K, Giannessi L, Giganti C, Glagolev V, Gonin M, González Rosa J, Goodman EAG, Gorin A, Grassi M, Guigue M, Hadley DR, Haigh JT, Hamacher-Baumann P, Harris DA, Hartz M, Hasegawa T, Hassani S, Hastings NC, Hayato Y, Henaff D, Hiramoto A, Hogan M, Holeczek J, Holin A, Holvey T, Hong Van NT, Honjo T, Iacob F, Ichikawa AK, Ikeda M, Ishida T, Ishitsuka M, Israel HT, Iwamoto K, Izmaylov A, Izumi N, Jakkapu M, Jamieson B, Jenkins SJ, Jesús-Valls C, Jiang JJ, Jonsson P, Joshi S, Jung CK, Jurj PB, Kabirnezhad M, Kaboth AC, Kajita T, Kakuno H, Kameda J, Kasetti SP, Kataoka Y, Katayama Y, Katori T, Kawaue M, Kearns E, Khabibullin M, Khotjantsev A, Kikawa T, Kikutani H, King S, Kiseeva V, Kisiel J, Kobata T, Kobayashi H, Kobayashi T, Koch L, Kodama S, Konaka A, Kormos LL, Koshio Y, Kostin A, Koto T, Kowalik K, Kudenko Y, Kudo Y, Kuribayashi S, Kurjata R, Kutter T, Kuze M, La Commara M, Labarga L, Lachner K, Lagoda J, Lakshmi SM, Lamers James M, Lamoureux M, Langella A, Laporte JF, Last D, Latham N, Laveder M, Lavitola L, Lawe M, Lee Y, Lin C, Lin SK, Litchfield RP, Liu SL, Li W, Longhin A, Long KR, Lopez Moreno A, Ludovici L, Lu X, Lux T, Machado LN, Magaletti L, Mahn K, Malek M, Mandal M, Manly S, Marino AD, Marti-Magro L, Martin DGR, Martini M, Martin JF, Maruyama T, Matsubara T, Matveev V, Mauger C, Mavrokoridis K, Mazzucato E, McCauley N, McElwee J, McFarland KS, McGrew C, McKean J, Mefodiev A, Megias GD, Mehta P, Mellet L, Metelko C, Mezzetto M, Miller E, Minamino A, Mineev O, Mine S, Miura M, Molina Bueno L, Moriyama S, Moriyama S, Morrison P, Mueller TA, Munford D, Munteanu L, Nagai K, Nagai Y, Nakadaira T, Nakagiri K, Nakahata M, Nakajima Y, Nakamura A, Nakamura H, Nakamura K, Nakamura KD, Nakano Y, Nakayama S, Nakaya T, Nakayoshi K, Naseby CER, Ngoc TV, Nguyen VQ, Niewczas K, Nishimori S, Nishimura Y, Nishizaki K, Nosek T, Nova F, Novella P, Nugent JC, O’Keeffe HM, O’Sullivan L, Odagawa T, Ogawa T, Okada R, Okinaga W, Okumura K, Okusawa T, Ospina N, Owen RA, Oyama Y, Palladino V, Paolone V, Pari M, Parlone J, Parsa S, Pasternak J, Pavin M, Payne D, Penn GC, Pershey D, Pickering L, Pidcott C, Pintaudi G, Pistillo C, Popov B, Porwit K, Posiadala-Zezula M, Prabhu YS, Pupilli F, Quilain B, Radermacher T, Radicioni E, Radics B, Ramírez MA, Ratoff PN, Reh M, Riccio C, Rondio E, Roth S, Roy N, Rubbia A, Ruggeri AC, Ruggles CA, Rychter A, Sakashita K, Sánchez F, Santucci G, Schloesser CM, Scholberg K, Scott M, Seiya Y, Sekiguchi T, Sekiya H, Sgalaberna D, Shaikhiev A, Shaker F, Shaykina A, Shiozawa M, Shorrock W, Shvartsman A, Skrobova N, Skwarczynski K, Smyczek D, Smy M, Sobczyk JT, Sobel H, Soler FJP, Sonoda Y, Speers AJ, Spina R, Suslov IA, Suvorov S, Suzuki A, Suzuki SY, Suzuki Y, Sztuc AA, Tada M, Tairafune S, Takayasu S, Takeda A, Takeuchi Y, Takifuji K, Tanaka HK, Tanihara Y, Tani M, Teklu A, Tereshchenko VV, Teshima N, Thamm N, Thompson LF, Toki W, Touramanis C, Towstego T, Tsui KM, Tsukamoto T, Tzanov M, Uchida Y, Vagins M, Vargas D, Varghese M, Vasseur G, Vilela C, Villa E, Vinning WGS, Virginet U, Vladisavljevic T, Wachala T, Walsh JG, Wang Y, Wan L, Wark D, Wascko MO, Weber A, Wendell R, Wilking MJ, Wilkinson C, Wilson JR, Wood K, Wret C, Xia J, Xu YH, Yamamoto K, Yamamoto T, Yanagisawa C, Yang G, Yano T, Yasutome K, Yershov N, Yevarouskaya U, Yokoyama M, Yoshimoto Y, Yoshimura N, Yu M, Zaki R, Zalewska A, Zalipska J, Zaremba K, Zarnecki G, Zhao X, Zhu T, Ziembicki M, Zimmerman ED, Zito M, Zsoldos S. Measurements of neutrino oscillation parameters from the T2K experiment using 3.6×1021 protons on target. Eur Phys J C Part Fields 2023; 83:782. [PMID: 37680254 PMCID: PMC10480298 DOI: 10.1140/epjc/s10052-023-11819-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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 07/10/2023] [Indexed: 09/09/2023]
Abstract
The T2K experiment presents new measurements of neutrino oscillation parameters using 19.7 ( 16.3 ) × 10 20 protons on target (POT) in (anti-)neutrino mode at the far detector (FD). Compared to the previous analysis, an additional 4.7 × 10 20 POT neutrino data was collected at the FD. Significant improvements were made to the analysis methodology, with the near-detector analysis introducing new selections and using more than double the data. Additionally, this is the first T2K oscillation analysis to use NA61/SHINE data on a replica of the T2K target to tune the neutrino flux model, and the neutrino interaction model was improved to include new nuclear effects and calculations. Frequentist and Bayesian analyses are presented, including results on sin 2 θ 13 and the impact of priors on the δ CP measurement. Both analyses prefer the normal mass ordering and upper octant of sin 2 θ 23 with a nearly maximally CP-violating phase. Assuming the normal ordering and using the constraint on sin 2 θ 13 from reactors, sin 2 θ 23 = 0 . 561 - 0.032 + 0.021 using Feldman-Cousins corrected intervals, and Δ m 32 2 = 2 . 494 - 0.058 + 0.041 × 10 - 3 eV 2 using constant Δ χ 2 intervals. The CP-violating phase is constrained to δ CP = - 1 . 97 - 0.70 + 0.97 using Feldman-Cousins corrected intervals, and δ CP = 0 , π is excluded at more than 90% confidence level. A Jarlskog invariant of zero is excluded at more than 2 σ credible level using a flat prior in δ CP , and just below 2 σ using a flat prior in sin δ CP . When the external constraint on sin 2 θ 13 is removed, sin 2 θ 13 = 28 . 0 - 6.5 + 2.8 × 10 - 3 , in agreement with measurements from reactor experiments. These results are consistent with previous T2K analyses.
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Affiliation(s)
- K. Abe
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - N. Akhlaq
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - R. Akutsu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - A. Ali
- TRIUMF, Vancouver, BC Canada
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. Alonso Monsalve
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Alt
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - C. Andreopoulos
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Antonova
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - S. Aoki
- Kobe University, Kobe, Japan
| | - T. Arihara
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - Y. Asada
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Ashida
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. T. Atkin
- Department of Physics, Imperial College London, London, UK
| | - M. Barbi
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
| | - G. J. Barker
- Department of Physics, University of Warwick, Coventry, UK
| | - G. Barr
- Department of Physics, Oxford University, Oxford, UK
| | - D. Barrow
- Department of Physics, Oxford University, Oxford, UK
| | | | - F. Bench
- Department of Physics, University of Liverpool, Liverpool, UK
| | - V. Berardi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - L. Berns
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Bhadra
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Blanchet
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - A. Blondel
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Bolognesi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - T. Bonus
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Bordoni
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - S. B. Boyd
- Department of Physics, University of Warwick, Coventry, UK
| | - A. Bravar
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Bronner
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Bron
- TRIUMF, Vancouver, BC Canada
| | - A. Bubak
- Institute of Physics, University of Silesia, Katowice, Poland
| | - M. Buizza Avanzini
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. A. Caballero
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - N. F. Calabria
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - S. Cao
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
| | - D. Carabadjac
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Université Paris-Saclay, Gif-sur-Yvette, France
| | - A. J. Carter
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - S. L. Cartwright
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. G. Catanesi
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - A. Cervera
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. Chakrani
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Cherdack
- Department of Physics, University of Houston, Houston, TX USA
| | - P. S. Chong
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - G. Christodoulou
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - A. Chvirova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Cicerchia
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
| | - J. Coleman
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. Collazuol
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Cook
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Oxford University, Oxford, UK
| | - A. Cudd
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Dalmazzone
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - T. Daret
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - Yu. I. Davydov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - A. De Roeck
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - G. De Rosa
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - T. Dealtry
- Physics Department, Lancaster University, Lancaster, UK
| | - C. C. Delogu
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - C. Densham
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Dergacheva
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Di Lodovico
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - S. Dolan
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - D. Douqa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - T. A. Doyle
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - O. Drapier
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - J. Dumarchez
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - P. Dunne
- Department of Physics, Imperial College London, London, UK
| | - K. Dygnarowicz
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - A. Eguchi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. Emery-Schrenk
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Erofeev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Ershova
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - G. Eurin
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Fedorova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Fedotov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Feltre
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. J. Finch
- Physics Department, Lancaster University, Lancaster, UK
| | | | - G. Fiorillo
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. D. Fitton
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - J. M. Franco Patiño
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - M. Friend
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fujii
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Fukuda
- Department of Physics, Miyagi University of Education, Sendai, Japan
| | - K. Fusshoeller
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - L. Giannessi
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - C. Giganti
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - V. Glagolev
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - M. Gonin
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
| | - J. González Rosa
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - E. A. G. Goodman
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Gorin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Grassi
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - M. Guigue
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - D. R. Hadley
- Department of Physics, University of Warwick, Coventry, UK
| | - J. T. Haigh
- Department of Physics, University of Warwick, Coventry, UK
| | | | - D. A. Harris
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. Hartz
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- TRIUMF, Vancouver, BC Canada
| | - T. Hasegawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Hassani
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. C. Hastings
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Hayato
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - D. Henaff
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - A. Hiramoto
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Hogan
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - J. Holeczek
- Institute of Physics, University of Silesia, Katowice, Poland
| | - A. Holin
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Holvey
- Department of Physics, Oxford University, Oxford, UK
| | - N. T. Hong Van
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
| | - T. Honjo
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - F. Iacob
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. K. Ichikawa
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - M. Ikeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Ishida
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Ishitsuka
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - H. T. Israel
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. Iwamoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Izmaylov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Izumi
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - M. Jakkapu
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - B. Jamieson
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
| | - S. J. Jenkins
- Department of Physics, University of Liverpool, Liverpool, UK
| | - C. Jesús-Valls
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - J. J. Jiang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - P. Jonsson
- Department of Physics, Imperial College London, London, UK
| | - S. Joshi
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. K. Jung
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. B. Jurj
- Department of Physics, Imperial College London, London, UK
| | - M. Kabirnezhad
- Department of Physics, Imperial College London, London, UK
| | - A. C. Kaboth
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - T. Kajita
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - H. Kakuno
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - J. Kameda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. P. Kasetti
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Kataoka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Katayama
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - T. Katori
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - M. Kawaue
- Department of Physics, Kyoto University, Kyoto, Japan
| | - E. Kearns
- Department of Physics, Boston University, Boston, MA USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Khabibullin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - A. Khotjantsev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Kikawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - H. Kikutani
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - S. King
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - V. Kiseeva
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - J. Kisiel
- Institute of Physics, University of Silesia, Katowice, Poland
| | - T. Kobata
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - H. Kobayashi
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - T. Kobayashi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - L. Koch
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - S. Kodama
- Department of Physics, University of Tokyo, Tokyo, Japan
| | | | - L. L. Kormos
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Koshio
- Department of Physics, Okayama University, Okayama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - A. Kostin
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - T. Koto
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
| | - K. Kowalik
- National Centre for Nuclear Research, Warsaw, Poland
| | - Y. Kudenko
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
| | - Y. Kudo
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - R. Kurjata
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - T. Kutter
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - M. Kuze
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
| | - M. La Commara
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - L. Labarga
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - K. Lachner
- Department of Physics, University of Warwick, Coventry, UK
| | - J. Lagoda
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. M. Lakshmi
- National Centre for Nuclear Research, Warsaw, Poland
| | - M. Lamers James
- Physics Department, Lancaster University, Lancaster, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. Lamoureux
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - A. Langella
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - J.-F. Laporte
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - D. Last
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - N. Latham
- Department of Physics, University of Warwick, Coventry, UK
| | - M. Laveder
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - L. Lavitola
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - M. Lawe
- Physics Department, Lancaster University, Lancaster, UK
| | - Y. Lee
- Department of Physics, Kyoto University, Kyoto, Japan
| | - C. Lin
- Department of Physics, Imperial College London, London, UK
| | - S.-K. Lin
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - R. P. Litchfield
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - S. L. Liu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - W. Li
- Department of Physics, Oxford University, Oxford, UK
| | - A. Longhin
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - K. R. Long
- Department of Physics, Imperial College London, London, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - A. Lopez Moreno
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - L. Ludovici
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
| | - X. Lu
- Department of Physics, University of Warwick, Coventry, UK
| | - T. Lux
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - L. N. Machado
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - L. Magaletti
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - K. Mahn
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - M. Malek
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - M. Mandal
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Manly
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - A. D. Marino
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - L. Marti-Magro
- Department of Physics, Yokohama National University, Yokohama, Japan
| | | | - M. Martini
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- IPSA-DRII, Ivry-sur-Seine, France
| | - J. F. Martin
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - T. Maruyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - T. Matsubara
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - V. Matveev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - C. Mauger
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - K. Mavrokoridis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - E. Mazzucato
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - N. McCauley
- Department of Physics, University of Liverpool, Liverpool, UK
| | - J. McElwee
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - K. S. McFarland
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
| | - C. McGrew
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - J. McKean
- Department of Physics, Imperial College London, London, UK
| | - A. Mefodiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - G. D. Megias
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
| | - P. Mehta
- Department of Physics, University of Liverpool, Liverpool, UK
| | - L. Mellet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - C. Metelko
- Department of Physics, University of Liverpool, Liverpool, UK
| | - M. Mezzetto
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - E. Miller
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - A. Minamino
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - O. Mineev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - S. Mine
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - M. Miura
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | | | - S. Moriyama
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - S. Moriyama
- Department of Physics, Yokohama National University, Yokohama, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - P. Morrison
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Th. A. Mueller
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - D. Munford
- Department of Physics, University of Houston, Houston, TX USA
| | - L. Munteanu
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - K. Nagai
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - Y. Nagai
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
| | - T. Nakadaira
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - K. Nakagiri
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - M. Nakahata
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Nakajima
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - A. Nakamura
- Department of Physics, Okayama University, Okayama, Japan
| | - H. Nakamura
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
| | - K. Nakamura
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- J-PARC, Tokai, Japan
| | - K. D. Nakamura
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - Y. Nakano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - S. Nakayama
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - T. Nakaya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Kyoto University, Kyoto, Japan
| | - K. Nakayoshi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | | | - T. V. Ngoc
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
| | - V. Q. Nguyen
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - K. Niewczas
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - S. Nishimori
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - Y. Nishimura
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
| | - K. Nishizaki
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - T. Nosek
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Nova
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - P. Novella
- IFIC (CSIC and University of Valencia), Valencia, Spain
| | - J. C. Nugent
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | | | - L. O’Sullivan
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - T. Odagawa
- Department of Physics, Kyoto University, Kyoto, Japan
| | - T. Ogawa
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
| | - R. Okada
- Department of Physics, Okayama University, Okayama, Japan
| | - W. Okinaga
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - K. Okumura
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
| | - T. Okusawa
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Ospina
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
| | - R. A. Owen
- School of Physics and Astronomy, Queen Mary University of London, London, UK
| | - Y. Oyama
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - V. Palladino
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - V. Paolone
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
| | - M. Pari
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - J. Parlone
- Department of Physics, University of Liverpool, Liverpool, UK
| | - S. Parsa
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - J. Pasternak
- Department of Physics, Imperial College London, London, UK
| | | | - D. Payne
- Department of Physics, University of Liverpool, Liverpool, UK
| | - G. C. Penn
- Department of Physics, University of Liverpool, Liverpool, UK
| | - D. Pershey
- Department of Physics, Duke University, Durham, NC USA
| | - L. Pickering
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
| | - C. Pidcott
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - G. Pintaudi
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - C. Pistillo
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
| | - B. Popov
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- JINR, Dubna, Russia
| | - K. Porwit
- Institute of Physics, University of Silesia, Katowice, Poland
| | | | - Y. S. Prabhu
- National Centre for Nuclear Research, Warsaw, Poland
| | - F. Pupilli
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
| | - B. Quilain
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
| | - T. Radermacher
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - E. Radicioni
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - B. Radics
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - M. A. Ramírez
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
| | - P. N. Ratoff
- Physics Department, Lancaster University, Lancaster, UK
| | - M. Reh
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - C. Riccio
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - E. Rondio
- National Centre for Nuclear Research, Warsaw, Poland
| | - S. Roth
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - N. Roy
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Rubbia
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. C. Ruggeri
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
| | - C. A. Ruggles
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - A. Rychter
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - K. Sakashita
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - F. Sánchez
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - G. Santucci
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - C. M. Schloesser
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | - K. Scholberg
- Department of Physics, Duke University, Durham, NC USA
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. Scott
- Department of Physics, Imperial College London, London, UK
| | - Y. Seiya
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
| | - T. Sekiguchi
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - H. Sekiya
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - D. Sgalaberna
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - A. Shaikhiev
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - F. Shaker
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Shaykina
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - M. Shiozawa
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - W. Shorrock
- Department of Physics, Imperial College London, London, UK
| | - A. Shvartsman
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - N. Skrobova
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | | | - D. Smyczek
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - M. Smy
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
| | - J. T. Sobczyk
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
| | - H. Sobel
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - F. J. P. Soler
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
| | - Y. Sonoda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - A. J. Speers
- Physics Department, Lancaster University, Lancaster, UK
| | - R. Spina
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
| | - I. A. Suslov
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
| | - S. Suvorov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - S. Y. Suzuki
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - Y. Suzuki
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - A. A. Sztuc
- Department of Physics, Imperial College London, London, UK
| | - M. Tada
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - S. Tairafune
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - S. Takayasu
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - A. Takeda
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - Y. Takeuchi
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Kobe University, Kobe, Japan
| | - K. Takifuji
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
| | - H. K. Tanaka
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Tanihara
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - M. Tani
- Department of Physics, Kyoto University, Kyoto, Japan
| | - A. Teklu
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | | | - N. Teshima
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - N. Thamm
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
| | - L. F. Thompson
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
| | - W. Toki
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
| | - C. Touramanis
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Towstego
- Department of Physics, University of Toronto, Toronto, ON Canada
| | - K. M. Tsui
- Department of Physics, University of Liverpool, Liverpool, UK
| | - T. Tsukamoto
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- J-PARC, Tokai, Japan
| | - M. Tzanov
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
| | - Y. Uchida
- Department of Physics, Imperial College London, London, UK
| | - M. Vagins
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - D. Vargas
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - M. Varghese
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
| | - G. Vasseur
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
| | - C. Vilela
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
| | - E. Villa
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
| | | | - U. Virginet
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | | | - T. Wachala
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. G. Walsh
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
| | - Y. Wang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - L. Wan
- Department of Physics, Boston University, Boston, MA USA
| | - D. Wark
- Department of Physics, Oxford University, Oxford, UK
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
| | - M. O. Wascko
- Department of Physics, Imperial College London, London, UK
| | - A. Weber
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
| | - R. Wendell
- Department of Physics, Kyoto University, Kyoto, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - M. J. Wilking
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - C. Wilkinson
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - J. R. Wilson
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - K. Wood
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
| | - C. Wret
- Department of Physics, Oxford University, Oxford, UK
| | - J. Xia
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
| | - Y.-H. Xu
- Physics Department, Lancaster University, Lancaster, UK
| | - K. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
| | - T. Yamamoto
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
| | - C. Yanagisawa
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Science Department, BMCC/CUNY, New York, NY USA
| | - G. Yang
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
| | - T. Yano
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
| | - K. Yasutome
- Department of Physics, Kyoto University, Kyoto, Japan
| | - N. Yershov
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
| | - U. Yevarouskaya
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - M. Yokoyama
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
| | - Y. Yoshimoto
- Department of Physics, University of Tokyo, Tokyo, Japan
| | - N. Yoshimura
- Department of Physics, Kyoto University, Kyoto, Japan
| | - M. Yu
- Department of Physics, Yokohama National University, Yokohama, Japan
| | - R. Zaki
- Department of Physics and Astronomy, York University, Toronto, ON Canada
| | - A. Zalewska
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - J. Zalipska
- National Centre for Nuclear Research, Warsaw, Poland
| | - K. Zaremba
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - G. Zarnecki
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
| | - X. Zhao
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
| | - T. Zhu
- Department of Physics, Imperial College London, London, UK
| | - M. Ziembicki
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
| | - E. D. Zimmerman
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
| | - M. Zito
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
| | - S. Zsoldos
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
| | - T2K Collaboration
- Department of Theoretical Physics, University Autonoma Madrid, 28049 Madrid, Spain
- Laboratory for High Energy Physics (LHEP), Albert Einstein Center for Fundamental Physics, University of Bern, Bern, Switzerland
- Department of Physics, Boston University, Boston, MA USA
- Department of Physics and Astronomy, University of California, Irvine, Irvine, CA USA
- IRFU, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, France
- Department of Physics, University of Colorado at Boulder, Boulder, CO USA
- Department of Physics, Colorado State University, Fort Collins, Colorado USA
- Department of Physics, Duke University, Durham, NC USA
- Department of Atomic Physics, Eötvös Loránd University, Budapest, Hungary
- Institute for Particle Physics and Astrophysics, ETH Zurich, Zurich, Switzerland
- CERN European Organization for Nuclear Research, 1211 Geneva 23, Switzerland
- Section de Physique, DPNC, University of Geneva, Geneva, Switzerland
- School of Physics and Astronomy, University of Glasgow, Glasgow, UK
- H. Niewodniczanski Institute of Nuclear Physics PAN, Cracow, Poland
- High Energy Accelerator Research Organization (KEK), Tsukuba, Ibaraki Japan
- Department of Physics, University of Houston, Houston, TX USA
- Institut de Fisica d’Altes Energies (IFAE)-The Barcelona Institute of Science and Technology, Campus UAB, Bellaterra, Barcelona Spain
- Institut für Physik, Johannes Gutenberg-Universität Mainz, Staudingerweg 7, 55128 Mainz, Germany
- IFIC (CSIC and University of Valencia), Valencia, Spain
- Institute For Interdisciplinary Research in Science and Education (IFIRSE), ICISE, Quy Nhon, Vietnam
- Department of Physics, Imperial College London, London, UK
- Dipartimento Interuniversitario di Fisica, INFN Sezione di Bari and Università e Politecnico di Bari, Bari, Italy
- Dipartimento di Fisica, INFN Sezione di Napoli and Università di Napoli, Naples, Italy
- Dipartimento di Fisica, INFN Sezione di Padova and Università di Padova, Padua, Italy
- INFN Sezione di Roma and Università di Roma “La Sapienza”, Rome, Italy
- Institute for Nuclear Research of the Russian Academy of Sciences, Moscow, Russia
- International Centre of Physics, Institute of Physics (IOP), Vietnam Academy of Science and Technology (VAST), 10 Dao Tan, Ba Dinh, Hanoi, Vietnam
- ILANCE, CNRS-University of Tokyo International Research Laboratory, Kashiwa, Chiba 277-8582 Japan
- Kavli Institute for the Physics and Mathematics of the Universe (WPI), The University of Tokyo Institutes for Advanced Study, University of Tokyo, Kashiwa, Chiba Japan
- Department of Physics, Keio University, Yokohama, Kanagawa Japan
- Department of Physics, King’s College London, Strand, London, WC2R 2LS UK
- Kobe University, Kobe, Japan
- Department of Physics, Kyoto University, Kyoto, Japan
- Physics Department, Lancaster University, Lancaster, UK
- Lawrence Berkeley National Laboratory, Berkeley, CA 94720 USA
- Laboratoire Leprince-Ringuet, Ecole Polytechnique, IN2P3-CNRS, Palaiseau, France
- Department of Physics, University of Liverpool, Liverpool, UK
- Department of Physics and Astronomy, Louisiana State University, Baton Rouge, LA USA
- Joint Institute for Nuclear Research, Dubna, Moscow Region Russia
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI USA
- Department of Physics, Miyagi University of Education, Sendai, Japan
- National Centre for Nuclear Research, Warsaw, Poland
- Department of Physics and Astronomy, State University of New York at Stony Brook, Stony Brook, NY USA
- Department of Physics, Okayama University, Okayama, Japan
- Department of Physics, Osaka Metropolitan University, Osaka, Japan
- Department of Physics, Oxford University, Oxford, UK
- Department of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104 USA
- Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA USA
- School of Physics and Astronomy, Queen Mary University of London, London, UK
- Department of Physics, University of Regina, Regina, Saskatchewan Canada
- Department of Physics and Astronomy, University of Rochester, Rochester, NY USA
- Department of Physics, Royal Holloway University of London, Egham, Surrey UK
- III. Physikalisches Institut, RWTH Aachen University, Aachen, Germany
- Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla, 41080 Sevilla, Spain
- Department of Physics and Astronomy, University of Sheffield, Sheffield, UK
- Institute of Physics, University of Silesia, Katowice, Poland
- Laboratoire de Physique Nucléaire et de Hautes Energies (LPNHE), Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Paris, France
- Rutherford Appleton Laboratory, STFC, Harwell, Oxford, UK
- Department of Physics, University of Tokyo, Tokyo, Japan
- Kamioka Observatory, Institute for Cosmic Ray Research, University of Tokyo, Kamioka, Japan
- Research Center for Cosmic Neutrinos, Institute for Cosmic Ray Research, University of Tokyo, Kashiwa, Japan
- Department of Physics, Tokyo Institute of Technology, Tokyo, Japan
- Department of Physics, Tokyo Metropolitan University, Tokyo, Japan
- Department of Physics, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba Japan
- Department of Physics, University of Toronto, Toronto, ON Canada
- TRIUMF, Vancouver, BC Canada
- Faculty of Physics, University of Warsaw, Warsaw, Poland
- Institute of Radioelectronics and Multimedia Technology, Warsaw University of Technology, Warsaw, Poland
- Department of Physics, Faculty of Science, Tohoku University, Sendai, Miyagi Japan
- Department of Physics, University of Warwick, Coventry, UK
- Department of Physics, University of Winnipeg, Winnipeg, MB Canada
- Faculty of Physics and Astronomy, Wroclaw University, Wrocław, Poland
- Department of Physics, Yokohama National University, Yokohama, Japan
- Department of Physics and Astronomy, York University, Toronto, ON Canada
- Université Paris-Saclay, Gif-sur-Yvette, France
- INFN-Laboratori Nazionali di Legnaro, Legnaro, Italy
- J-PARC, Tokai, Japan
- Kavli IPMU (WPI), The University of Tokyo, Tokyo, Japan
- Moscow Institute of Physics and Technology (MIPT), Moscow Region, Russia and National Research Nuclear University “MEPhI”, Moscow, Russia
- IPSA-DRII, Ivry-sur-Seine, France
- The Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ho Chi Minh City, Vietnam
- JINR, Dubna, Russia
- Nambu Yoichiro Institute of Theoretical and Experimental Physics (NITEP), Osaka, Japan
- Science Department, BMCC/CUNY, New York, NY USA
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Chen J, Liu Z, Zhang H, Wang G, Tian X, Zhao X, Ge L, Tian Y, Zhang Q, Hong P, Li Y, Chen K, Gao Q, Liu X, Liu C, Ma L, Zhang S. Pure Retroperitoneal Laparoscopic Peritoneum Incision Technique in Right Nephrectomy and Inferior Vena Cava Tumor Thrombectomy: A Novel Surgical Technique and Long-Term Outcomes from a Large Chinese Center. J Endourol 2023; 37:986-994. [PMID: 37254522 DOI: 10.1089/end.2023.0038] [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] [Indexed: 06/01/2023] Open
Abstract
Purpose: To explore the safety and effectiveness of the Pure Retroperitoneal Laparoscopic Peritoneum Incision Technique (PREP-IT) in laparoscopic radical nephrectomy (LRN) and inferior vena cave (IVC) tumor thrombectomy for right renal-cell carcinoma (RCC) with level Mayo I to III venous tumor thrombus (VTT). Patients and Methods: From May 2015 to September 2020, 92 patients with right RCC and Mayo I to III VTT were retrospectively reviewed, including 57 patients who underwent retroperitoneal LRN and IVC thrombectomy using PREP-IT, and 35 patients who underwent open surgery. PREP-IT refers to dissecting the retroperitoneum and temporarily placing the right kidney into the abdominal cavity to enlarge the retroperitoneal workspace for a safer and faster IVC operation. Results: Compared with the open surgery group, the PREP-IT group had a larger tumor diameter, while a larger proportion of Mayo I tumor thrombus and smaller maximum tumor thrombus width. Two patients (3.5%) in the PREP-IT group had a history of abdominal surgery. No conversion to open surgery or standard laparoscopic surgery occurred in PREP-IT group. Laparoscopic surgery with PREP-IT was characterized by shorter operative time, less surgical blood loss, shorter postoperative hospital stay, and lower postoperative complication rate. With a 33-month (ranges: 2-86) follow-up time period, the estimated mean overall survival time was 57.2 ± 5.3 and 58.1 ± 71.5 months in the PREP-IT group and open surgery group, respectively. Log-rank test indicated no significant difference between the two groups in terms of overall survival and cancer-specific survival. Conclusions: The PREP-IT is relatively safe and feasible for retroperitoneal LRN with right renal tumor and IVC tumor thrombus, allowing for a large workspace and wide exposure for IVC operations.
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Affiliation(s)
- Jiyuan Chen
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Zhuo Liu
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Hongxian Zhang
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Guoliang Wang
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Xiaojun Tian
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Xun Zhao
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Liyuan Ge
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Yu Tian
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Qiming Zhang
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Peng Hong
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Yuxuan Li
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Kewei Chen
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Qiyue Gao
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Xinchen Liu
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Cheng Liu
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Lulin Ma
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
| | - Shudong Zhang
- Department of Urology, Peking University Third Hospital, Haidian, Beijing, China
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48
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Li XX, Li JP, Zhou K, Zhao X, Zhang FK. [Chidamide treatment for 2 cases of refractory T-cell large granular lymphocytic leukemia]. Zhonghua Xue Ye Xue Za Zhi 2023; 44:694-696. [PMID: 37803848 PMCID: PMC10520224 DOI: 10.3760/cma.j.issn.0253-2727.2023.08.016] [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] [Received: 10/14/2022] [Indexed: 10/08/2023]
Affiliation(s)
- X X Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, ChinaCorresponding author: Zhang Fengkui,
| | - J P Li
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, ChinaCorresponding author: Zhang Fengkui,
| | - K Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, ChinaCorresponding author: Zhang Fengkui,
| | - X Zhao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, ChinaCorresponding author: Zhang Fengkui,
| | - F K Zhang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin 300020, ChinaCorresponding author: Zhang Fengkui,
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49
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Xing Q, Zhao X, Xie L, Chen X, Wang Y, Xie Y. Advances in non-pharmacological management of Parkinson's disease complicated with blood pressure abnormalities. J Physiol Pharmacol 2023; 74. [PMID: 37865954 DOI: 10.26402/jpp.2023.4.01] [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] [Received: 07/07/2023] [Accepted: 08/31/2023] [Indexed: 10/24/2023]
Abstract
Parkinson's disease (PD) often presents with autonomic dysregulation, leading to blood pressure irregularities such as neurogenic orthostatic hypotension (nOH), neurogenic supine hypertension (nSH), and postprandial hypotension (PPH). Unfortunately, these conditions remain prevalent and receive insufficient attention in scientific discourse. They not only cause complications like syncope, falls, and fractures but also result in long-term damage to vital organs, diminishing patients' quality of life. Early implementation of appropriate non-pharmacologic management is crucial to prevent severe adverse events later on. This review focuses on the types, clinical characteristics, mechanisms, and common non-pharmacologic management measures for PD complicated by abnormal blood pressure. By promoting early diagnosis, recognizing symptoms of abnormal blood pressure, and employing non-pharmacologic interventions such as health education, dietary adjustments, exercise, and Chinese medicine techniques, we aim to improve patients' symptoms and quality of life while providing practical guidance for managing PD-related blood pressure abnormalities.
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Affiliation(s)
- Q Xing
- Department of Pain, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - X Zhao
- Department of Rehabilitation Medicine, The Second Clinical Medical School of North Sichuan Medical College, Nanchong Central Hospital, Nanchong, China
| | - L Xie
- School of Rehabilitation, Zigong Vocational and Technical College, Zigong, China
| | - X Chen
- Department of Rehabilitation Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Y Wang
- Department of Rehabilitation Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
| | - Y Xie
- Department of Rehabilitation Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
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50
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Zhao X, Zhang Q, Tao S, Zhou W, Jia PY. Association of edentulism and all-cause mortality in Chinese older adults: do sex differences exist? Public Health 2023; 221:184-189. [PMID: 37473651 DOI: 10.1016/j.puhe.2023.05.018] [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: 11/21/2022] [Revised: 03/31/2023] [Accepted: 05/23/2023] [Indexed: 07/22/2023]
Abstract
OBJECTIVES Previous studies revealed that tooth loss or edentulism was related to mortality. However, research in developing countries with large numbers of elderly populations is rare, and whether sex differences exist in this relationship is unknown. This study aimed to investigate the association between edentulism and 7-year all-cause mortality among older adults in China and whether sex differences existed. STUDY DESIGN This was a prospective cohort study. METHODS Data were from 2011 to 2018 waves of the China Health and Retirement Longitudinal Study. A total of 6538 participants aged ≥60 years were included. Logistic models were adopted to estimate the risks of mortality according to edentulism. RESULTS The participants with edentulism at baseline were 20% more likely to die over 7 years after controlling for a set of covariates (odds ratio [OR] = 1.20, 95% confidence interval [CI]: 1.02-1.42). Moreover, edentulism was associated with a 35% higher odds of death among male participants (OR = 1.35, 95% CI: 1.08-1.70), whereas a significant association was not found in female participants. CONCLUSIONS The findings demonstrated that baseline edentulism predicted all-cause mortality in Chinese older adults, and sex differences existed in this association. This study implied the importance of developing oral health education programs, incorporating dietary recommendations into dental care for edentulous patients, and expanding the coverage of dental services in the health insurance system to prevent edentulism and alleviate its negative outcomes for older adults.
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Affiliation(s)
- X Zhao
- School of Health Humanities, Peking University, Beijing, China.
| | - Q Zhang
- National School of Development, Peking University, Beijing, China.
| | - S Tao
- School of Health Humanities, Peking University, Beijing, China.
| | - W Zhou
- Research Center for Public Health and Social Security, School of Public Administration, Hunan University, Hunan, China.
| | - P-Y Jia
- Department of the Fourth Clinical Division, Peking University School and Hospital of Stomatology & National Center of 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 & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & NMPA Key Laboratory for Dental Materials, Beijing, China.
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