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Petersen ME, Brant MG, Lasalle M, Das S, Duan R, Wong J, Ding T, Wu KJ, Siddappa D, Fang C, Zhang W, Wu AML, Hirkala-Schaefer T, Garnett GAE, Fung V, Yang L, Hernandez Rojas A, Lawn SO, Barnscher SD, Rich JR, Colombo R. Design and Evaluation of ZD06519, a Novel Camptothecin Payload for Antibody Drug Conjugates. Mol Cancer Ther 2024; 23:606-618. [PMID: 38354417 PMCID: PMC11063767 DOI: 10.1158/1535-7163.mct-23-0822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 01/08/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024]
Abstract
In recent years, the field of antibody drug conjugates (ADC) has seen a resurgence, largely driven by the clinical benefit observed in patients treated with ADCs incorporating camptothecin-based topoisomerase I inhibitor payloads. Herein, we present the development of a novel camptothecin ZD06519 (FD1), which has been specifically designed for its application as an ADC payload. A panel of camptothecin analogs with different substituents at the C-7 and C-10 positions of the camptothecin core was prepared and tested in vitro. Selected compounds spanning a range of potency and hydrophilicity were elaborated into drug-linkers, conjugated to trastuzumab, and evaluated in vitro and in vivo. ZD06519 was selected on the basis of its favorable properties as a free molecule and as an antibody conjugate, which include moderate free payload potency (∼1 nmol/L), low hydrophobicity, strong bystander activity, robust plasma stability, and high-monomeric ADC content. When conjugated to different antibodies using a clinically validated MC-GGFG-based linker, ZD06519 demonstrated impressive efficacy in multiple cell line-derived xenograft models and noteworthy tolerability in healthy mice, rats, and non-human primates.
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Affiliation(s)
- Mark E. Petersen
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Michael G. Brant
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Manuel Lasalle
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Samir Das
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Renee Duan
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Jodi Wong
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Tong Ding
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Kaylee J. Wu
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Dayananda Siddappa
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Chen Fang
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Wen Zhang
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Alex M. L. Wu
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | | | - Graham A. E. Garnett
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Vincent Fung
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Luying Yang
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | | | - Samuel O. Lawn
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Stuart D. Barnscher
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Jamie R. Rich
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
| | - Raffaele Colombo
- ADC Therapeutic Development, Zymeworks Inc., Vancouver, British Columbia, Canada
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Ding T, Weng Y, Huang J, Zou W. Manual angulation of the Arndt endobronchial blocker to improve the ease of lung isolation. Can J Anaesth 2024; 71:681-682. [PMID: 38366211 DOI: 10.1007/s12630-024-02709-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 02/18/2024] Open
Affiliation(s)
- Tong Ding
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Yingqi Weng
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China
| | - Jiapeng Huang
- Department of Anesthesiology & Perioperative Medicine, University of Louisville, Louisville, KY, USA
| | - Wangyuan Zou
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
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Lv A, BianBaZhuoMa, DeQiong, DaWaZhuoMa, PuBuZhuoMa, Yao D, LangJiQuZhen, Lu Y, Cai L, DaZhen, Tang C, BianBaZhuoMa, Zhang Y, Yin J, Ding T, DaWaCang, Wu M, Chen Y, Li Y. Effect of COVID-19 infection on pregnant women in plateau regions. Public Health 2024; 229:57-62. [PMID: 38401193 DOI: 10.1016/j.puhe.2023.12.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 12/04/2023] [Accepted: 12/28/2023] [Indexed: 02/26/2024]
Abstract
OBJECTIVE The present study aims to explore the effect of COVID-19 infection on pregnant women in plateau regions. STUDY DESIGN Data from 381 pregnant women infected with COVID-19 who underwent prenatal examination or treatment at Women and Children's Hospital of Tibet Autonomous Region between January 2020 and December 2022 and 314 pregnant women not infected with COVID-19 were retrospectively collected. METHODS The study participants were divided into an infected and non-infected group according to whether they were infected with COVID-19. Basic information (ethnicity, age, body mass index and gestational age [GA]), vaccination status, intensive care unit (ICU) admission and delivery outcomes were compared. Binary logistic regression was used to analyse the influencing factors of ICU admission. RESULTS The results revealed significant differences in the GA, vaccination rate, blood pressure, partial pressure of oxygen, white blood cell (WBC) count, ICU admission rate, preeclampsia rate, forearm presentation rate, thrombocytopenia rate, syphilis infection rate and placental abruption rate between the two groups (P < 0.05). A univariate analysis showed that COVID-19 infection, hepatitis B virus infection, the WBC count and hypoproteinaemia were risk factors for ICU admission. The results of the multivariate analysis of the ICU admission of pregnant women showed that COVID-19 infection (odds ratio [OR] = 4.271, 95 % confidence interval [CI]: 3.572-5.820, P < 0.05) was a risk factor for ICU admission and the WBC count (OR = 0.935, 95 % CI: 0.874-0.947, P < 0.05) was a protective factor for ICU admission. CONCLUSION Pregnant women are vulnerable to the adverse consequences of COVID-19 infection, and public health measures such as vaccination are needed to protect this population subgroup.
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Affiliation(s)
- A Lv
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, PR China; Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - BianBaZhuoMa
- Lhasa People's Hospital, No. 1, Beijing Middle Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - DeQiong
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaWaZhuoMa
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - PuBuZhuoMa
- Lhasa People's Hospital, No. 1, Beijing Middle Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - D Yao
- Nyingchi People's Hospital, No. 11, Water Garden, Bayi Town, Bayi District, Nyingchi City, Tibet Autonomous Region, 860000, PR China
| | - LangJiQuZhen
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - Y Lu
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - L Cai
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaZhen
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - C Tang
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - BianBaZhuoMa
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - Y Zhang
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - J Yin
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - T Ding
- Women and Children's Hospital of Tibet Autonomous Region, NO. 10 Chagu Avenue, Doilungdêqên District, Liuwu New Area, Lhasa, Tibet Autonomous Region, 851414, PR China
| | - DaWaCang
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - M Wu
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - Y Chen
- Tibet University Medical School, No. 10, Zangda East Road, Chengguan District, Lhasa, Tibet Autonomous Region, 850000, PR China
| | - Y Li
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO. 1 DaHua Road, Dong Dan, Beijing, 100730, PR China.
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Chen RJ, Ding T, Lu MY, Williamson DFK, Jaume G, Song AH, Chen B, Zhang A, Shao D, Shaban M, Williams M, Oldenburg L, Weishaupt LL, Wang JJ, Vaidya A, Le LP, Gerber G, Sahai S, Williams W, Mahmood F. Towards a general-purpose foundation model for computational pathology. Nat Med 2024; 30:850-862. [PMID: 38504018 DOI: 10.1038/s41591-024-02857-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 02/05/2024] [Indexed: 03/21/2024]
Abstract
Quantitative evaluation of tissue images is crucial for computational pathology (CPath) tasks, requiring the objective characterization of histopathological entities from whole-slide images (WSIs). The high resolution of WSIs and the variability of morphological features present significant challenges, complicating the large-scale annotation of data for high-performance applications. To address this challenge, current efforts have proposed the use of pretrained image encoders through transfer learning from natural image datasets or self-supervised learning on publicly available histopathology datasets, but have not been extensively developed and evaluated across diverse tissue types at scale. We introduce UNI, a general-purpose self-supervised model for pathology, pretrained using more than 100 million images from over 100,000 diagnostic H&E-stained WSIs (>77 TB of data) across 20 major tissue types. The model was evaluated on 34 representative CPath tasks of varying diagnostic difficulty. In addition to outperforming previous state-of-the-art models, we demonstrate new modeling capabilities in CPath such as resolution-agnostic tissue classification, slide classification using few-shot class prototypes, and disease subtyping generalization in classifying up to 108 cancer types in the OncoTree classification system. UNI advances unsupervised representation learning at scale in CPath in terms of both pretraining data and downstream evaluation, enabling data-efficient artificial intelligence models that can generalize and transfer to a wide range of diagnostically challenging tasks and clinical workflows in anatomic pathology.
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Affiliation(s)
- Richard J Chen
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Tong Ding
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Ming Y Lu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Drew F K Williamson
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Guillaume Jaume
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Andrew H Song
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Bowen Chen
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrew Zhang
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA
| | - Daniel Shao
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA
| | - Muhammad Shaban
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Mane Williams
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Lukas Oldenburg
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Luca L Weishaupt
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA
| | - Judy J Wang
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Anurag Vaidya
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA
| | - Long Phi Le
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA
| | - Georg Gerber
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Sharifa Sahai
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Systems Biology, Harvard University, Cambridge, MA, USA
| | - Walt Williams
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Faisal Mahmood
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA.
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5
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Lu MY, Chen B, Williamson DFK, Chen RJ, Liang I, Ding T, Jaume G, Odintsov I, Le LP, Gerber G, Parwani AV, Zhang A, Mahmood F. A visual-language foundation model for computational pathology. Nat Med 2024; 30:863-874. [PMID: 38504017 DOI: 10.1038/s41591-024-02856-4] [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: 08/02/2023] [Accepted: 02/05/2024] [Indexed: 03/21/2024]
Abstract
The accelerated adoption of digital pathology and advances in deep learning have enabled the development of robust models for various pathology tasks across a diverse array of diseases and patient cohorts. However, model training is often difficult due to label scarcity in the medical domain, and a model's usage is limited by the specific task and disease for which it is trained. Additionally, most models in histopathology leverage only image data, a stark contrast to how humans teach each other and reason about histopathologic entities. We introduce CONtrastive learning from Captions for Histopathology (CONCH), a visual-language foundation model developed using diverse sources of histopathology images, biomedical text and, notably, over 1.17 million image-caption pairs through task-agnostic pretraining. Evaluated on a suite of 14 diverse benchmarks, CONCH can be transferred to a wide range of downstream tasks involving histopathology images and/or text, achieving state-of-the-art performance on histology image classification, segmentation, captioning, and text-to-image and image-to-text retrieval. CONCH represents a substantial leap over concurrent visual-language pretrained systems for histopathology, with the potential to directly facilitate a wide array of machine learning-based workflows requiring minimal or no further supervised fine-tuning.
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Affiliation(s)
- Ming Y Lu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Electrical Engineering and Computer Science, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
| | - Bowen Chen
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Drew F K Williamson
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Richard J Chen
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Ivy Liang
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Tong Ding
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA
| | - Guillaume Jaume
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Igor Odintsov
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Long Phi Le
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Georg Gerber
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Anil V Parwani
- Department of Pathology, Wexner Medical Center, Ohio State University, Columbus, OH, USA
| | - Andrew Zhang
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA
- Health Sciences and Technology, Harvard-MIT, Cambridge, MA, USA
| | - Faisal Mahmood
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Cancer Data Science Program, Dana-Farber Cancer Institute, Boston, MA, USA.
- Harvard Data Science Initiative, Harvard University, Cambridge, MA, USA.
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Lv A, Ding T, DeQiong, DaWaZhuoMa, Cai L, Zhang Y, Yin J, SeZhen, Lv Q. Prevalence of Pelvic Floor Disorders in Parous Women from the Tibet Autonomous Region: A Cross-Sectional Study. J Multidiscip Healthc 2024; 17:159-167. [PMID: 38222478 PMCID: PMC10787566 DOI: 10.2147/jmdh.s444616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 12/28/2023] [Indexed: 01/16/2024] Open
Abstract
Purpose Pelvic floor disorder (PFD) seriously affects the everyday life of women. This cross-sectional study aimed to evaluate the prevalence and risk factors for postpartum PFD in women living in the Tibet Autonomous Region (TAR). Methods Parous women who attended the outpatient gynaecology clinic at our hospital between June 2022 and August 2022 were screened in this study. The demographic and clinical data of these women were collected. Their pelvic floor functions were evaluated via a pelvic organ prolapse (POP) quantification examination, the Pelvic Floor Distress Inventory Questionnaire-20 (PFDI-20) and the Overactive Bladder Symptom Score (OABSS). Results A total of 201 women were included in this study, of whom 81.09% (163/201) were Tibetan. Twenty-seven women (13.43%) were diagnosed with POP stage ≥2 and 27 women (13.43%) with an OABSS score ≥3. The median PFDI-20 total score was 4.17 (range 0-43.75). Han women (n = 38) in the TAR had much lower PFDI-20 total scores, compared with Tibetan women (n = 163) (p < 0.05). The results of the multiple linear regression models showed that the PFDI-20 scores obtained from women living in the TAR were closely related to parity, history of heavy weight lifting, age, history of instrumental deliveries, ethnicity and number of caesarean sections. Conclusion Pelvic floor disorder is common among parous women living in the TAR. Ethnicity, parity, history of heavy weight lifting, age, history of instrumental deliveries and number of caesarean sections are the factors closely related to the PFDI-20 scores.
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Affiliation(s)
- Aiming Lv
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - Tong Ding
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - DeQiong
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - DaWaZhuoMa
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - Long Cai
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - Yutong Zhang
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - Jinyu Yin
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - SeZhen
- Women and Children’s Hospital of Tibet Autonomous Region, Lhasa, Tibet Autonomous Region, People’s Republic of China
| | - Qiubo Lv
- Department of Obstetrics and Gynecology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, People’s Republic of China
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7
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Gou L, Yang G, Ma S, Ding T, Sun L, Liu F, Huang J, Gao W. Galectin-14 promotes hepatocellular carcinoma tumor growth via enhancing heparan sulfate proteoglycan modification. J Biomed Res 2023; 37:418-430. [PMID: 37977559 PMCID: PMC10687530 DOI: 10.7555/jbr.37.20230085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/26/2023] [Accepted: 05/30/2023] [Indexed: 11/19/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy and lacks effective treatment. Bulk-sequencing of different gene transcripts by comparing HCC tissues and adjacent normal tissues provides some clues for investigating the mechanisms or identifying potential targets for tumor progression. However, genes that are exclusively expressed in a subpopulation of HCC may not be enriched or detected through such a screening. In the current study, we performed a single cell-clone-based screening and identified galectin-14 as an essential molecule in the regulation of tumor growth. The aberrant expression of galectin-14 was significantly associated with a poor overall survival of liver cancer patients with database analysis. Knocking down galectin-14 inhibited the proliferation of tumor growth, whereas overexpressing galectin-14 promoted tumor growth in vivo. Non-targeted metabolomics analysis indicated that knocking down galectin-14 decreased glycometabolism; specifically that glycoside synthesis was significantly changed. Further study found that galectin-14 promoted the expression of cell surface heparan sulfate proteoglycans (HSPGs) that functioned as co-receptors, thereby increasing the responsiveness of HCC cells to growth factors, such as epidermal growth factor and transforming growth factor-alpha. In conclusion, the current study identifies a novel HCC-specific molecule galectin-14, which increases the expression of cell surface HSPGs and the uptake of growth factors to promote HCC cell proliferation.
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Affiliation(s)
- Liming Gou
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Core Laboratory, the Affiliated Sir Run Run Hospital of Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Gang Yang
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Sujuan Ma
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Tong Ding
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Luan Sun
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Fang Liu
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Jin Huang
- Department of Gastroenterology, the Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou Medical Center of Nanjing Medical University, Changzhou, Jiangsu 213000, China
| | - Wei Gao
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Department of Gastroenterology, the Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Changzhou Medical Center of Nanjing Medical University, Changzhou, Jiangsu 213000, China
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Ding T, Hu S, Qu J, Xiong H, Xu B, Wu Y, Shen L. Evaluation of the effect of simultaneous hybrid coronary revascularization on postoperative bleeding and renal function: A comparison study with minimally invasive direct off-pump coronary artery bypass grafting in patients with multivessel coronary artery disease. J Thorac Cardiovasc Surg 2023; 166:1446-1455.e4. [PMID: 35272844 DOI: 10.1016/j.jtcvs.2022.01.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 12/21/2021] [Accepted: 01/11/2022] [Indexed: 11/27/2022]
Abstract
OBJECTIVES The present study sought to compare postoperative bleeding and renal function in patients with multivessel coronary artery disease undergoing simultaneous hybrid coronary revascularization (HCR) and minimally invasive direct off-pump coronary artery bypass grafting (MIDCABG). METHODS The study retrospectively collected the data of 594 consecutive patients who underwent simultaneous HCR and 351 patients who underwent MIDCABG with planned staged HCR (MIDCABG first, then elective percutaneous coronary intervention) in Fuwai Hospital from June 2007 to December 2020. A total of 317 pairs of patients who were matched in a 1:1 ratio with propensity score matching were enrolled in this study. Bleeding and changes in renal function were compared between the 2 groups. RESULTS Compared with patients who underwent MIDCABG, patients who underwent simultaneous HCR had significantly greater chest tube drainage on the day of the operation (492.7 ± 282.4 mL vs 441.0 ± 261.9 mL; P = .023), but no significant difference was detected in the total amount during the postoperative period (788.8 ± 458.9 mL vs 753.3 ± 409.8 mL; P = .74). The differences in re-exploration for bleeding (0.3% vs 1.6%; P = .13), blood transfusion (18.9% vs 16.4%; P = .13), acute kidney injury (23.3% vs 18.6%; P = .53), and in-hospital major adverse cardiovascular and cerebrovascular events (including all-cause death, myocardial infarction, stroke, and repeated revascularization) (2.5% vs 1.9%; P = .67) between the 2 groups did not reach statistical significance. CONCLUSIONS Compared with MIDCABG, simultaneous HCR (MIDCABG first, instant percutaneous coronary intervention) did not increase postoperative bleeding or the incidence of acute kidney injury.
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Affiliation(s)
- Tong Ding
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Shengshou Hu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Jianyu Qu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Hui Xiong
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Bo Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Intervention, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Yongjian Wu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Liuzhong Shen
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
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9
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Fang P, Zhang H, Cheng T, Ding T, Xia S, Xiao W, Li Z, Xiao S, Fang L. Porcine deltacoronavirus accessory protein NS6 harnesses VPS35-mediated retrograde trafficking to facilitate efficient viral infection. J Virol 2023; 97:e0095723. [PMID: 37815351 PMCID: PMC10617406 DOI: 10.1128/jvi.00957-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 09/01/2023] [Indexed: 10/11/2023] Open
Abstract
IMPORTANCE Retrograde transport has been reported to be closely associated with normal cellular biological processes and viral replication. As an emerging enteropathogenic coronavirus with zoonotic potential, porcine deltacoronavirus (PDCoV) has attracted considerable attention. However, whether retrograde transport is associated with PDCoV infection remains unclear. Our present study demonstrates that retromer protein VPS35 acts as a critical host factor that is required for PDCoV infection. Mechanically, VPS35 interacts with PDCoV NS6, mediating the retrograde transport of NS6 from endosomes to the Golgi and preventing it from lysosomal degradation. Recombinant PDCoVs with an NS6 deletion display resistance to VPS35 deficiency. Our work reveals a novel evasion mechanism of PDCoV that involves the manipulation of the retrograde transport pathway by VPS35, providing new insight into the mechanism of PDCoV infection.
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Affiliation(s)
- Puxian Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Huichang Zhang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Ting Cheng
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Tong Ding
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - SiJin Xia
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Wenwen Xiao
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Zhuang Li
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Shaobo Xiao
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Liurong Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
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10
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Fang P, Xie C, Pan T, Cheng T, Chen W, Xia S, Ding T, Fang J, Zhou Y, Fang L, Wei D, Xiao S. Unfolding of an RNA G-quadruplex motif in the negative strand genome of porcine reproductive and respiratory syndrome virus by host and viral helicases to promote viral replication. Nucleic Acids Res 2023; 51:10752-10767. [PMID: 37739415 PMCID: PMC10602871 DOI: 10.1093/nar/gkad759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Revised: 08/28/2023] [Accepted: 09/07/2023] [Indexed: 09/24/2023] Open
Abstract
G-quadruplex (G4) is a unique secondary structure formed by guanine-rich nucleic acid sequences. Growing studies reported that the genomes of some viruses harbor G4 structures associated with viral replication, opening up a new field to dissect viral infection. Porcine reproductive and respiratory syndrome virus (PRRSV), a representative member of Arteriviridae, is an economically significant pathogen that has devastated the swine industry worldwide for over 30 years. In this study, we identified a highly conserved G-rich sequence with parallel-type G4 structure (named PRRSV-G4) in the negative strand genome RNA of PRRSV. Pyridostatin (PDS), a well-known G4-binding ligand, stabilized the PRRSV-G4 structure and inhibited viral replication. By screening the proteins interacting with PRRSV-G4 in PRRSV-infected cells and single-molecule magnetic tweezers analysis, we found that two helicases, host DDX18 and viral nsp10, interact with and efficiently unwound the PRRSV-G4 structure, thereby facilitating viral replication. Using a PRRSV reverse genetics system, we confirmed that recombinant PRRSV with a G4-disruptive mutation exhibited resistance to PDS treatment, thereby displaying higher replication than wild-type PRRSV. Collectively, these results demonstrate that the PRRSV-G4 structure plays a crucial regulatory role in viral replication, and targeting this structure represents a promising strategy for antiviral therapies.
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Affiliation(s)
- Puxian Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Congbao Xie
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Hongshan Laboratory, and Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Ting Pan
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Ting Cheng
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Wei Chen
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Sijin Xia
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Tong Ding
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Junkang Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Hongshan Laboratory, and Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Yanrong Zhou
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Liurong Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Dengguo Wei
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Hongshan Laboratory, and Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, China
- Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Shenzhen 518000, China
- Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518000, China
| | - Shaobo Xiao
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China
- The Key Laboratory of Preventive Veterinary Medicine in Hubei Province, Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
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Zhang P, Yin J, Xun L, Ding T, Du S. CIRC_0002131 CONTRIBUTES TO LPS-INDUCED APOPTOSIS, INFLAMMATION, AND OXIDATIVE INJURY IN HK-2 CELLS VIA INHIBITING THE BINDING BETWEEN MIR-942-5P AND OXSR1. Shock 2023; 60:517-524. [PMID: 37549022 DOI: 10.1097/shk.0000000000002197] [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: 08/09/2023]
Abstract
ABSTRACT Background: Circular RNAs are implicated in the progression of sepsis-associated acute kidney injury (AKI). Circ_0002131 was shown to aggravate cell inflammation and oxidative stress in sepsis-induced AKI. The aim of this study was to investigate the role and underlying mechanism of circ_0002131 in sepsis-induced AKI. Methods: Cell counting Ki-8 assay was used for cell viability detection. Cell apoptosis was measured using flow cytometry. Circ_0002131, microRNA-942-5p (miR-942-5p), and oxidative stress responsive 1 (OXSR1) level analysis was performed through reverse transcription-quantitative polymerase chain reaction assay. The protein levels were examined by western blot. Inflammatory factors were determined using enzyme-linked immunosorbent assay. Oxidative injury was assessed via commercial kits. Target relation was analyzed by dual-luciferase reporter assay and RNA immunoprecipitation assay. Results: HK-2 cell viability was suppressed and apoptosis was enhanced by LPS. Circ_0002131 was highly expressed in LPS-treated HK-2 cells and sepsis-induced AKI patients. LPS-induced apoptosis, inflammation, and oxidative injury of HK-2 cells were attenuated after silence of circ_0002131. Then, miR-942-5p was identified as a target for circ_0002131, and the regulation of circ_0002131 in LPS-induced cell injury was ascribed to reduce miR-942-5p level. In addition, circ_0002131 targeted miR-942-5p to elevate OXSR1 expression. MiR-942-5p prevented LPS-evoked HK-2 cell injury via targeting OXSR1. Conclusion : All results demonstrated that circ_0002131 promoted LPS-mediated HK-2 cell injury via miR-942-5p-mediated upregulation of OXSR1, suggesting that the circ_0002131/miR-942-5p/OXSR1 axis was related to sepsis-induced AKI progression.
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Affiliation(s)
- Pengjie Zhang
- Department of Nephropathy Center, Shaanxi Provincial People's Hospital, Xi'an City, 710068, Shaanxi, China
| | - Jian Yin
- Department of Urology, Shaanxi Provincial People's Hospital, Xi'an City, 710068, Shaanxi, China
| | - Liru Xun
- Department of Nephropathy Center, Shaanxi Provincial People's Hospital, Xi'an City, 710068, Shaanxi, China
| | - Tong Ding
- Department of Nephropathy Center, Shaanxi Provincial People's Hospital, Xi'an City, 710068, Shaanxi, China
| | - Shuangkuan Du
- Department of Urology, Shaanxi Provincial People's Hospital, Xi'an City, 710068, Shaanxi, China
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12
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Wang J, Wei SR, Ding T, Zhang LP, Weng ZH, Cheng M, Zhou Y, Zhang M, Liu FJ, Yan BB, Wang DF, Sun MW, Cheng WX. Continuous renal replacement therapy with oXiris ® in patients with hematologically malignant septic shock: A retrospective study. World J Clin Cases 2023; 11:6073-6082. [PMID: 37731565 PMCID: PMC10507551 DOI: 10.12998/wjcc.v11.i26.6073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 07/04/2023] [Accepted: 07/14/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND The mortality rate from septic shock in patients with hematological malignancies (HMs) remains significantly higher than that in patients without HMs. A longer resuscitation time would definitely be harmful because of the irreversibly immunocompromised status of the patients. Shortening the resuscitation time through continuous renal replacement therapy (CRRT) with oXiris® would be an attractive strategy in managing such patients. AIM To explore the effects of CRRT and oXiris® in shortening the resuscitation time and modifying the host response by reducing inflammation mediator levels. METHODS Forty-five patients with HM were diagnosed with septic shock and underwent CRRT between 2018 and 2022. Patients were divided into two groups based on the hemofilter used for CRRT (oXiris® group, n = 26; M150 group, n = 19). We compared the number of days of negative and total fluid balance after 7 d of CRRT between the groups. The heart rate, norepinephrine dose, Sequential Organ Failure Assessment (SOFA) score, and blood lactic acid levels at different time points in the two groups were also compared. Blood levels of inflammatory mediators in the 26 patients in the oXiris® group were measured to further infer the possible mechanism. RESULTS The average total fluid balance after 7 d of CRRT in the oXiris® group was significantly lower than that of patients in the M150 hemofilter group. The SOFA scores of patients after CRRT with oXiris® therapy were significantly lower than those before treatment on day 1 (d1), d3 and d7 after CRRT; these parameters were also significantly lower than those of the control group on d7. The lac level after oXiris® therapy was significantly lower than that before treatment on d3 and d7 after CRRT. There were no significant differences in the above parameters between the two groups at the other time points. In the oXiris® group, procalcitonin levels decreased on d7, whereas interleukin-6 and tumor necrosis factor levels decreased significantly on d3 and d7 after treatment. CONCLUSION CRRT with oXiris® hemofilter may improve hemodynamics by reducing inflammatory mediators and playing a role in shortening the resuscitation period and decreasing total fluid balance in the resuscitation phases.
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Affiliation(s)
- Juan Wang
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Shu-Run Wei
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Tong Ding
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Li-Ping Zhang
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Zhi-Hua Weng
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Ming Cheng
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Yang Zhou
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Meng Zhang
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Fang-Jun Liu
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Bei-Bei Yan
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Dan-Feng Wang
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Ming-Wen Sun
- Intensive Care Unit, Hebei Yanda Hospital, Langfang 065201, Hebei Province, China
| | - Wei-Xin Cheng
- Department of Emergency, Peking University International Hospital, Beijing 102206, China
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13
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Ding T, Cheng T, Zhu X, Xiao W, Xia S, Fang L, Fang P, Xiao S. Exosomes mediate the antibody-resistant intercellular transmission of porcine epidemic diarrhea virus. Vet Microbiol 2023; 284:109834. [PMID: 37536161 DOI: 10.1016/j.vetmic.2023.109834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/14/2023] [Accepted: 07/19/2023] [Indexed: 08/05/2023]
Abstract
Porcine epidemic diarrhea virus (PEDV) is a highly pathogenic enteric coronavirus that causes severe enteritis and lethal watery diarrhea in suckling piglets, leading to tremendous economic losses. Exosomes have been reported to participate in intercellular communication by the transportation of a variety of biological materials, including RNAs, lipids, and proteins. However, PEDV transmission routes have not yet been fully elucidated, and whether exosomes function in PEDV transmission remains unclear. In this study, we extracted and purified exosomes from PEDV-infected Vero cells using a stringent isolation method with a combination of chemical precipitation, ultracentrifugation, and incubation with CD63-labeled magnetic beads. We found that exosomes from PEDV-infected Vero cells contain viral genomic RNA and viral nucleocapsid protein. Furthermore, we demonstrated that the purified exosomes from PEDV-infected cells are capable of transmitting the virus to both PEDV-susceptible and non-susceptible cells. Importantly, exosome-mediated PEDV infection was resistant to neutralization by PEDV-specific neutralizing antibodies that potently neutralized free PEDV. Our study reveals a potential immune evasion mechanism utilized by PEDV and provides new insight into the transmission and infection of this important pathogen.
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Affiliation(s)
- Tong Ding
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Ting Cheng
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Xuerui Zhu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Wenwen Xiao
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Sijin Xia
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Liurong Fang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China
| | - Puxian Fang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China.
| | - Shaobo Xiao
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan 430070, China.
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Chen RJ, Ding T, Lu MY, Williamson DFK, Jaume G, Chen B, Zhang A, Shao D, Song AH, Shaban M, Williams M, Vaidya A, Sahai S, Oldenburg L, Weishaupt LL, Wang JJ, Williams W, Le LP, Gerber G, Mahmood F. A General-Purpose Self-Supervised Model for Computational Pathology. ArXiv 2023:arXiv:2308.15474v1. [PMID: 37693180 PMCID: PMC10491320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Tissue phenotyping is a fundamental computational pathology (CPath) task in learning objective characterizations of histopathologic biomarkers in anatomic pathology. However, whole-slide imaging (WSI) poses a complex computer vision problem in which the large-scale image resolutions of WSIs and the enormous diversity of morphological phenotypes preclude large-scale data annotation. Current efforts have proposed using pretrained image encoders with either transfer learning from natural image datasets or self-supervised pretraining on publicly-available histopathology datasets, but have not been extensively developed and evaluated across diverse tissue types at scale. We introduce UNI, a general-purpose self-supervised model for pathology, pretrained using over 100 million tissue patches from over 100,000 diagnostic haematoxylin and eosin-stained WSIs across 20 major tissue types, and evaluated on 33 representative CPath clinical tasks in CPath of varying diagnostic difficulties. In addition to outperforming previous state-of-the-art models, we demonstrate new modeling capabilities in CPath such as resolution-agnostic tissue classification, slide classification using few-shot class prototypes, and disease subtyping generalization in classifying up to 108 cancer types in the OncoTree code classification system. UNI advances unsupervised representation learning at scale in CPath in terms of both pretraining data and downstream evaluation, enabling data-efficient AI models that can generalize and transfer to a gamut of diagnostically-challenging tasks and clinical workflows in anatomic pathology.
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15
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Liu X, Tan Q, Wen J, Wang X, Yang G, Li Y, Lu M, Ye W, Si A, Ma S, Ding T, Sun L, Liu F, Zhang M, Jiang T, Gao W. Improving the cytotoxicity of immunotoxins by reducing the affinity of the antibody in acidic pH. J Transl Med 2023; 21:572. [PMID: 37626430 PMCID: PMC10463491 DOI: 10.1186/s12967-023-04210-7] [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] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 05/19/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Immunotoxins are antibody-toxin conjugates that bind to surface antigens and exert effective cytotoxic activity after internalization into tumor cells. Immunotoxins exhibit effective cytotoxicity and have been approved by the FDA to treat multiple hematological malignancies, such as hairy cell leukemia and cutaneous T-cell lymphoma. However, most of the internalized immunotoxin is degraded in lysosomes, and only approximately 5% of free toxin escapes into the cytosol to exert cytotoxicity. Many studies have improved immunotoxins by engineering the toxin fragment to reduce immunogenicity or increase stability, but how the antibody fragment contributes to the activity of immunotoxins has not been well demonstrated. METHODS In the current study, we used 32A9 and 42A1, two anti-GPC3 antibodies with similar antigen-binding capabilities and internalization rates, to construct scFv-mPE24 immunotoxins and evaluated their in vitro and in vivo antitumor activities. Next, the antigen-binding capacity, trafficking, intracellular protein stability and release of free toxin of 32A9 scFv-mPE24 and 42A1 scFv-mPE24 were compared to elucidate their different antitumor activities. Furthermore, we used a lysosome inhibitor to evaluate the degradation behavior of 32A9 scFv-mPE24 and 42A1 scFv-mPE24. Finally, the antigen-binding patterns of 32A9 and 42A1 were compared under neutral and acidic pH conditions. RESULTS Although 32A9 and 42A1 had similar antigen binding capacities and internalization rates, 32A9 scFv-mPE24 had superior antitumor activity compared to 42A1 scFv-mPE24. We found that 32A9 scFv-mPE24 exhibited faster degradation and drove efficient free toxin release compared to 42A1 scFv-mPE24. These phenomena were determined by the different degradation behaviors of 32A9 scFv-mPE24 and 42A1 scFv-mPE24 in lysosomes. Moreover, 32A9 was sensitive to the low-pH environment, which made the 32A9 conjugate easily lose antigen binding and undergo degradation in lysosomes, and the free toxin was then efficiently produced to exert cytotoxicity, whereas 42A1 was resistant to the acidic environment, which kept the 42A1 conjugate relatively stable in lysosomes and delayed the release of free toxin. CONCLUSIONS These results showed that a low pH-sensitive antibody-based immunotoxin degraded faster in lysosomes, caused effective free toxin release, and led to improved cytotoxicity compared to an immunotoxin based on a normal antibody. Our findings suggested that a low pH-sensitive antibody might have an advantage in the design of immunotoxins and other lysosomal degradation-dependent antibody conjugate drugs.
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Affiliation(s)
- Xiaoyu Liu
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Qingqing Tan
- Department of Gynecology Oncology, Changzhou Maternal and Child Health Care Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China
| | - Jiaqi Wen
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Xufei Wang
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Gang Yang
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Yuxiao Li
- Department of Endocrinology, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China
| | - Ming Lu
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Wei Ye
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Anfeng Si
- Department of Surgical Oncology, Jinling Hospital, Medical School of Nanjing University, 34 Yanggongjing Road, Nanjing, 210000, Jiangsu, People's Republic of China
| | - Sujuan Ma
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Tong Ding
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Luan Sun
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Fang Liu
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China
| | - Mei Zhang
- Department of Endocrinology, The First Affiliated Hospital With Nanjing Medical University, Nanjing, China
| | - Tao Jiang
- Department of Surgical Oncology, Jinling Hospital, Medical School of Nanjing University, 34 Yanggongjing Road, Nanjing, 210000, Jiangsu, People's Republic of China.
| | - Wei Gao
- School of Basic Medical Sciences and Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Nanjing Medical University, 101 Longmian Road, Xuehai Building, Nanjing, 211166, Jiangsu, People's Republic of China.
- The Affiliated Changzhou Second People's Hospital of Nanjing Medical University, Changzhou Second People's Hospital, Changzhou Medical Center, Nanjing Medical University, Changzhou, China.
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He Q, Zhou L, Yu D, Zhu R, Chen Y, Song M, Liu X, Liao Y, Ding T, Fan W, Yu W. Near-Infrared-Activatable PROTAC Nanocages for Controllable Target Protein Degradation and On-Demand Antitumor Therapy. J Med Chem 2023; 66:10458-10472. [PMID: 37279091 DOI: 10.1021/acs.jmedchem.3c00587] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [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: 06/08/2023]
Abstract
As a novel protein knockdown tool, proteolysis targeting chimeras (PROTACs) can induce potent degradation of target proteins by hijacking E3 ubiquitin ligases. However, the uncontrollable protein disruption of PROTACs is prone to cause "off-target" toxicity after systemic administration. Herein, we designed a photocaged-PROTAC (phoBET1) and loaded it in UCNPs-based mesoporous silica nanoparticles (UMSNs) to construct a NIR light-activatable PROTAC nanocage (UMSNs@phoBET1) for controllable target protein degradation. Upon NIR light (980 nm) irradiation, UMSNs@phoBET1 nanocages could be activated to release active PROTAC via a controlled pattern for degrading bromodomain-containing protein 4 (BRD4) and inducing MV-4-11 cancer cell apoptosis. In vivo experiments demonstrated that UMSNs@phoBET1 nanocages were capable of responding to NIR light in tumor tissues to achieve BRD4 degradation and effectively suppress tumor growth. This NIR light-activatable PROTAC nanoplatform compensates for the current shortcomings of short-wavelength light-controlled PROTACs and presents a paradigm for the precise regulation of PROTACs in living tissues.
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Affiliation(s)
- Qi He
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, People's Republic of China
| | - Liming Zhou
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials, China Pharmaceutical University, Nanjing 210009, People's Republic of China
| | - Daxin Yu
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, People's Republic of China
| | - Ren Zhu
- Key Laboratory for Green Chemical Process of Ministry of Education, Hubei Key Laboratory of Novel Reactor and Green Chemical Technology, Hubei Engineering Research Center for Advanced Fine Chemicals, School of Chemical Engineering and Pharmacy, Wuhan Institute of Technology, 206 1st Rd Optics Valley, East Lake New Technology Development District, Wuhan, Hubei 430205, People's Republic of China
| | - Yue Chen
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials, China Pharmaceutical University, Nanjing 210009, People's Republic of China
| | - Mingbo Song
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, People's Republic of China
| | - Xintong Liu
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, People's Republic of China
| | - Yixian Liao
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, People's Republic of China
| | - Tong Ding
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, People's Republic of China
| | - Wenpei Fan
- State Key Laboratory of Natural Medicines and Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases, Center of Advanced Pharmaceuticals and Biomaterials, China Pharmaceutical University, Nanjing 210009, People's Republic of China
| | - Wenying Yu
- State Key Laboratory of Natural Medicines, China Pharmaceutical University, 24 Tong Jia Xiang, Nanjing 210009, People's Republic of China
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Ling Y, Ding T. A simultaneous hybrid approach of minimally invasive direct coronary artery bypass followed by percutaneous mitral valve edge-to-edge repair. Eur Heart J Case Rep 2023; 7:ytad355. [PMID: 37554961 PMCID: PMC10406448 DOI: 10.1093/ehjcr/ytad355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 07/19/2023] [Accepted: 07/25/2023] [Indexed: 08/10/2023]
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18
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Jacinto RP, Ding T, Stafford J, Baio G, Kirkbride JB. The incidence of psychotic disorders in the Republic of Ireland: a systematic review. Ir J Psychol Med 2023:1-13. [PMID: 37522189 DOI: 10.1017/ipm.2023.35] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
OBJECTIVES Despite a substantial epidemiological literature on the incidence of psychotic disorders in Ireland, no systematic review has previously been undertaken. Such evidence can help inform understanding of need for psychosis care. METHODS We conducted a prospectively registered systematic review (PROSPERO: CRD42021245891) following PRISMA guidelines. We searched four databases (Medline, PsycInfo, Web of Science, Embase) for papers containing incidence data on non-organic psychotic disorders, in people 16-64 years, published between 1950 and 2021 in the general adult population. We conducted duplicate screening, risk of bias assessments, and extracted data to a standardised template. We undertook a narrative synthesis for each major diagnostic outcome. Random effects meta-analyses were conducted for comparisons with ≥5 incidence rates. RESULTS Our search yielded 1975 non-duplicate citations, of which 23 met inclusion criteria, containing incidence data ascertained between 1974 and 2016 (median study quality: 5/8; interquartile range: 4-6). Incidence of all psychotic disorders (N = 4 studies) varied from 22.0 (95%CI: 17.3-28.0) in Dublin to 34.1 per 100,000 person-years (95%CI: 31.0-37.5) in Cavan and Monaghan. The pooled incidence of schizophrenia (N = 6 studies, N = 8 settings) was 20.0 per 100,000 person-years, though with imprecision around this estimate (95%CI: 10.6-37.5; I2: 97.6%). Higher rates of most outcomes were observed in men. There was consistent evidence of raised rates in more deprived and fragmented social environments, but no clear pattern by rural-urban status. CONCLUSIONS Patterns of incidence of psychotic disorders in Ireland are broadly consistent with the wider literature from the Global North. Findings could help identify populations at higher risk of psychosis in Ireland.
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Affiliation(s)
| | - T Ding
- Department of Statistical Sciences, UCL, London, UK
| | - J Stafford
- Division of Psychiatry, UCL, London, UK
- MRC Unit for Lifelong Health and Ageing, UCL, London, UK
| | - G Baio
- Department of Statistical Sciences, UCL, London, UK
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Jiang X, Zhang H, Zhang H, Wang F, Wang X, Ding T, Zhang X, Wang T. Microcystin-LR-Induced Interaction between M2 Tumor-Associated Macrophage and Colorectal Cancer Cell Promotes Colorectal Cancer Cell Migration through Regulating the Expression of TGF-β1 and CST3. Int J Mol Sci 2023; 24:10527. [PMID: 37445705 DOI: 10.3390/ijms241310527] [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: 05/12/2023] [Revised: 06/08/2023] [Accepted: 06/19/2023] [Indexed: 07/15/2023] Open
Abstract
Microcystin-LR (MC-LR) is a toxic secondary metabolite produced by cyanobacteria that has been demonstrated to promote colorectal cancer (CRC). However, the mechanism by which MC-LR enhances CRC in the tumor microenvironment (TME) is poorly understood. To elucidate its role in TME, a co-culture system was established using CRC cells and M2 macrophages in a Transwell chamber. The study found that MC-LR promotes CRC cell migration by upregulating TGF-β1 expression and secretion in M2 macrophages and downregulating CST3 in CRC cells. Neutralizing TGF-β1 increased CST3 expression in CRC cells, while overexpressing CST3 in CRC cells suppressed TGF-β1 expression in M2 macrophages, both of which weakened MC-LR-induced cellular motility in the co-culture system. In vivo, the mice in the MC-LR/AOM/DSS group had more tumor nodules, deeper tumor invasion, and higher M2 macrophage infiltration compared to the AOM/DSS group, and the expression of TGF-β1 and CST3 in tumors was consistent with the cellular level. Overall, this study provides insights into the regulatory mechanism of MC-LR on TME, revealing that MC-LR upregulates the expression and secretion of TGF-β1 in M2 macrophages, which in turn inhibits the expression of CST3 in CRC cells to promote migration.
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Affiliation(s)
- Xinying Jiang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Hailing Zhang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Hengshuo Zhang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Fan Wang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Xiaochang Wang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Tong Ding
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
| | - Xuxiang Zhang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Xianlin Campus, Nanjing University, Nanjing 210023, China
| | - Ting Wang
- Department of Cell Biology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing 211166, China
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Wang Y, Lin H, Huang W, Liu Z, Chen Z, Zhao X, Ding T, Qin W, Shen Y. Curcumin Attenuates Periodontal Injury via Inhibiting Ferroptosis of Ligature-Induced Periodontitis in Mice. Int J Mol Sci 2023; 24:9835. [PMID: 37372983 DOI: 10.3390/ijms24129835] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/21/2023] [Accepted: 05/29/2023] [Indexed: 06/29/2023] Open
Abstract
Periodontitis is a chronic infectious disease characterized by the destruction of connective tissue and alveolar bone that eventually leads to tooth loss. Ferroptosis is an iron-dependent regulated cell death and is involved in ligature-induced periodontitis in vivo. Studies have demonstrated that curcumin has a potential therapeutic effect on periodontitis, but the mechanism is still unclear. The purpose of this study was to investigate the protective effects of curcumin on alleviating ferroptosis in periodontitis. Ligature-induced periodontal-diseased mice were used to detect the protective effect of curcumin. The level of superoxide dismutase (SOD), malondialdehyde (MDA) and total glutathione (GSH) in gingiva and alveolar bone were assayed. Furthermore, the mRNA expression levels of acsl4, slc7a11, gpx4 and tfr1 were measured using qPCR and the protein expression of ACSL4, SLC7A11, GPX4 and TfR1 were investigated by Western blot and immunocytochemistry (IHC). Curcumin reduced the level of MDA and increased the level of GSH. Additionally, curcumin was proven to significantly increase the expression levels of SLC7A11 and GPX4 and inhibit the expression of ACSL4 and TfR1. In conclusion, curcumin plays a protective role by inhibiting ferroptosis in ligature-induced periodontal-diseased mice.
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Affiliation(s)
- Yawei Wang
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou 510182, China
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Hongbing Lin
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Wenxin Huang
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou 510182, China
| | - Zixian Liu
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou 510182, China
| | - Zhen Chen
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou 510182, China
| | - Xuetao Zhao
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Tong Ding
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Wenguang Qin
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou 510182, China
| | - Yuqin Shen
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangdong Engineering Research Center of Oral Restoration and Reconstruction, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou 510182, China
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
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Zhao X, Lin H, Ding T, Wang Y, Liu N, Shen Y. Overview of the main biological mechanisms linked to changes in periodontal ligament stem cells and the inflammatory microenvironment. J Zhejiang Univ Sci B 2023; 24:373-386. [PMID: 37057607 DOI: 10.1631/jzus.b2200576] [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] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/15/2023]
Abstract
Periodontitis is a complex chronic inflammatory disease. The invasion of pathogens induces the inflammatory microenvironment in periodontitis. Cell behavior changes in response to changes in the microenvironment, which in turn alters the local inflammatory microenvironment of the periodontium through factors secreted by cells. It has been confirmed that periodontal ligament stem cells (PDLSCs) are vital in the development of periodontal disease. Moreover, PDLSCs are the most effective cell type to be used for periodontium regeneration. This review focuses on changes in PDLSCs, their basic biological behavior, osteogenic differentiation, and drug effects caused by the inflammatory microenvironment, to provide a better understanding of the influence of these factors on periodontal tissue homeostasis. In addition, we discuss the underlying mechanism in detail behind the reciprocal responses of PDLSCs that affect the microenvironment.
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Affiliation(s)
- Xuetao Zhao
- Department of Periodontics, Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Hongbing Lin
- Department of Periodontics, Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Tong Ding
- Department of Periodontics, Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Yawei Wang
- Department of Periodontics, Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China
| | - Na Liu
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou 510182, China. ,
| | - Yuqin Shen
- Department of Periodontics, Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun 130021, China.
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Zhang J, Fang P, Ren J, Xia S, Zhang H, Zhu X, Ding T, Xiao S, Fang L. Porcine Epidemic Diarrhea Virus nsp7 Inhibits MDA5 Dephosphorylation to Antagonize Type I Interferon Production. Microbiol Spectr 2023:e0501722. [PMID: 36975829 PMCID: PMC10100820 DOI: 10.1128/spectrum.05017-22] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) is a reemerging enteropathogenic coronavirus that causes high mortality in piglets and has catastrophic effects on the global pig industry. PEDV-encoded nonstructural protein 7 (nsp7) is an important component of the viral replication and transcription complex, and a previous study reported that it inhibits poly(I:C)-induced type I interferon (IFN) production, but the mechanism by which this occurs remains unclear. Here, we demonstrated that ectopic expression of PEDV nsp7 antagonized Sendai virus (SeV)-induced interferon beta (IFN-β) production, as well as the activation of transcription factors interferon regulatory factor 3 (IRF3) and nuclear factor-kappa B (NF-κB) in both HEK-293T and LLC-PK1 cells. Mechanistically, PEDV nsp7 targets melanoma differentiation-associated gene 5 (MDA5) and interacts with its caspase activation and recruitment domains (CARDs), which sequester the interactions between MDA5 and the protein phosphatase 1 (PP1) catalytic subunits (PP1α and PP1γ), thereby suppressing MDA5 S828 dephosphorylation and keeping MDA5 inactive. Furthermore, PEDV infection attenuated MDA5 multimerization and MDA5-PP1α/-γ interactions. We also tested the nsp7 orthologs of five other mammalian coronaviruses and found that all of them except severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) nsp7 inhibited MDA5 multimerization and SeV- or MDA5-induced IFN-β production. Collectively, these results suggest that the inhibition of MDA5 dephosphorylation and multimerization may be a common strategy employed by PEDV and some other coronaviruses to antagonize MDA5-mediated IFN production. IMPORTANCE Since late 2010, a reemerging porcine epidemic diarrhea virus variant with high pathogenesis has swept through most pig farms in many countries, resulting in significant economic losses. Coronavirus nonstructural protein 7 (nsp7), conserved within the family Coronaviridae, combines with nsp8 and nsp12 to form the viral replication and transcription complex that is indispensable for viral replication. However, the function of nsp7 in the infection and pathogenesis of coronaviruses remains largely unknown. Our present study demonstrates that PEDV nsp7 specifically competes with PP1 for binding MDA5 and impedes the PP1-mediated dephosphorylation of MDA5 at S828, thereby blocking MDA5-mediated IFN production, revealing the complex mechanism utilized by PEDV nsp7 to efficiently escape host innate immunity.
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Affiliation(s)
- Jiansong Zhang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Puxian Fang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Jie Ren
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Sijin Xia
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Huichang Zhang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Xuerui Zhu
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Tong Ding
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Shaobo Xiao
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
| | - Liurong Fang
- State Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, China
- Key Laboratory of Preventive Veterinary Medicine in Hubei Province, the Cooperative Innovation Center for Sustainable Pig Production, Wuhan, China
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Bao N, Zhang P, Zhu Y, Du P, Jin G, Wu B, Ding T. miR-378a-3p promotes renal cell carcinoma proliferation, migration, and invasion by targeting TOB2. Clin Transl Oncol 2023; 25:748-757. [PMID: 36309620 DOI: 10.1007/s12094-022-02984-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 10/10/2022] [Indexed: 10/31/2022]
Abstract
PURPOSE Renal cell carcinoma (RCC) is one of the most common malignant tumors of the urinary system, which has high metastasis. MicroRNAs (miRNAs) have been reported to participate in RCC progression. The present study aimed to understand the biological role and mechanism of miR-378a-3p in RCC. METHODS RT-qPCR assay was used to assess miR-378a-3p and transducer of ERBB2 (TOB2) expression in RCC tissues and cell lines. CCK-8, clone formation, scratch, and transwell assays were carried out to evaluate cell proliferation, migration, and invasion. Furthermore, the target genes of miR-378a-3p were predicted by the online bioinformatics databases. Dual-luciferase reporter assay was used to validate the relationship between miR-378a-3p and TOB2. RESULTS miR-378a-3p was highly expressed in RCC tissues and RCC cell lines. Besides, miR-378a-3p accelerated the progression of RCC by mediating cell proliferation, migration and invasion. More importantly, TOB2 was confirmed as a potential target gene of miR-378a-3p. The results of loss-of-function experiments showed that inhibition of TOB2 reversed the inhibitory roles of miR-378a-3p inhibitor on RCC progression. CONCLUSIONS miR-378a-3p promoted cell proliferation, migration and invasion through regulating TOB2 in RCC, which indicated a promising target for the treatment of RCC.
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Affiliation(s)
- Nan Bao
- Department of Nephrology, Shaanxi Provincial People's Hospital, No.256 West Youyi Road, Xi'an, 710068, Shaanxi Province, China
| | - Pengjie Zhang
- Department of Nephrology, Shaanxi Provincial People's Hospital, No.256 West Youyi Road, Xi'an, 710068, Shaanxi Province, China
| | - Yanting Zhu
- Department of Nephrology, Shaanxi Provincial People's Hospital, No.256 West Youyi Road, Xi'an, 710068, Shaanxi Province, China
| | - Peng Du
- Department of Nephrology, Shaanxi Provincial People's Hospital, No.256 West Youyi Road, Xi'an, 710068, Shaanxi Province, China
| | - Gang Jin
- Department of Nephrology, Shaanxi Provincial People's Hospital, No.256 West Youyi Road, Xi'an, 710068, Shaanxi Province, China
| | - Bing Wu
- Department of Nephrology, Shaanxi Provincial People's Hospital, No.256 West Youyi Road, Xi'an, 710068, Shaanxi Province, China
| | - Tong Ding
- Department of Nephrology, Shaanxi Provincial People's Hospital, No.256 West Youyi Road, Xi'an, 710068, Shaanxi Province, China.
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24
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Huang C, Ding T, Zhang Y, Li X, Sun X, Lv S, Hao Y, Bai L, Liu N, Xie Y, Chen H, Nie Y. The longevity protein p66 Shc is required for neonatal heart regeneration. J Mol Cell Cardiol 2023; 177:21-27. [PMID: 36827872 DOI: 10.1016/j.yjmcc.2023.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Revised: 02/04/2023] [Accepted: 02/15/2023] [Indexed: 02/24/2023]
Abstract
The longevity protein p66Shc is essential for the senescence signaling that is involved in heart regeneration and remodeling. However, the exact role of p66Shc in heart regeneration is unknown. In this study, we found that p66Shc deficiency decreased neonatal mouse cardiomyocyte (CM) proliferation and impeded neonatal heart regeneration after apical resection injury. RNA sequencing and functional verification demonstrated that p66Shc regulated CM proliferation by activating β-catenin signaling. These findings reveal the critical role of p66Shc in neonatal heart regeneration and provide new insights into senescence signaling in heart regeneration.
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Affiliation(s)
- Chengzhen Huang
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine and Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, PR China; State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Tong Ding
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; Department of Cardiac Surgery, Peking University Third Hospital, 49 N Garden Rd, Haidian District, Beijing 100191, PR China
| | - Yuan Zhang
- National Health Commission Key Laboratory of Cardiovascular Regenerative Medicine, Fuwai Central-China Hospital, Central China Branch of National Center for Cardiovascular Diseases, Zhengzhou University, Zhengzhou, 450046, China
| | - Xunkai Li
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine and Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, PR China
| | - Xin Sun
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine and Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, PR China
| | - Shuangjie Lv
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine and Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, PR China
| | - Yanyan Hao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Shanxi Medical University, Taiyuan 030001, China
| | - Lina Bai
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Ning Liu
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Yifan Xie
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China
| | - Houzao Chen
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine and Peking Union Medical College, 5 Dong Dan San Tiao, Beijing 100005, PR China.
| | - Yu Nie
- State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Disease, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China; National Health Commission Key Laboratory of Cardiovascular Regenerative Medicine, Fuwai Central-China Hospital, Central China Branch of National Center for Cardiovascular Diseases, Zhengzhou University, Zhengzhou, 450046, China.
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Ding T, Yuan X, Chen K, Shen L, Guan C, Lv F, Xiong H, Xu B, Wu Y, Hu S. Simultaneous Hybrid Coronary Revascularization vs Conventional Strategies for Multivessel Coronary Artery Disease: A 10-Year Follow-Up. JACC Cardiovasc Interv 2023; 16:50-60. [PMID: 36599587 DOI: 10.1016/j.jcin.2022.09.049] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 09/06/2022] [Accepted: 09/27/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Although evidence is sufficient to confirm that hybrid coronary revascularization (HCR) is safe and effective in the short term, its value in the long run is debatable. OBJECTIVES This study sought to compare the long-term outcomes of HCR with coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI) for multivessel disease. METHODS Three groups of patients, 540 each, receiving HCR, CABG, or PCI between June 2007 to September 2018, were matched using propensity score matching. Patients were stratified by EuroSCORE (European System for Cardiac Operative Risk Evaluation) II (low ≤0.9; 0.9 < medium <1.5; high ≥1.5) and SYNTAX (Synergy Between Percutaneous Coronary Intervention With Taxus and Cardiac Surgery) score (low ≤22; 22 < medium <33; high ≥33). Major adverse cardiac and cerebrovascular events (MACCE) and Seattle Angina Questionnaire (SAQ) scores were compared among the 3 groups. RESULTS In terms of MACCE and SAQ, HCR performed similarly to off-pump CABG but significantly outperformed PCI (P < 0.001). In the low-to-medium EuroSCORE II and medium-to-high SYNTAX score tertiles, MACCE rates in the HCR group were significantly lower than those in the PCI (EuroSCORE II: low, 30.7% vs 41.2%; P = 0.006; medium, 31.3% vs 41.7%; P = 0.013; SYNTAX score: medium, 27.6% vs 41.2%; P = 0.018; high, 32.4% vs 52.7%; P = 0.011) but were similar to those in the CABG group. In the high EuroSCORE II stratum, HCR had a lower MACCE rate than CABG (31.9% vs 47.0%; P = 0.041) and PCI (31.9% vs 53.7%; P = 0.015). CONCLUSIONS Compared with conventional strategies, HCR provided satisfactory long-term outcomes in MACCE and functional status for multivessel disease.
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Affiliation(s)
- Tong Ding
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Xin Yuan
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Kai Chen
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Liuzhong Shen
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Changdong Guan
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Intervention, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Feng Lv
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Hui Xiong
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Bo Xu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Intervention, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Yongjian Wu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Shengshou Hu
- National Clinical Research Center for Cardiovascular Diseases, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China; Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
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Tian L, Ding T, Pan B. Generalized Scale Factor Calibration Method for an Off-Axis Digital Image Correlation-Based Video Deflectometer. Sensors (Basel) 2022; 22:10010. [PMID: 36560378 PMCID: PMC9788336 DOI: 10.3390/s222410010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/08/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
When using off-axis digital image correlation (DIC) for non-contact, remote, and multipoint deflection monitoring of engineering structures, accurate calibration of the scale factor (SF), which converts image displacement to physical displacement for each measurement point, is critical to realize high-quality displacement measurement. In this work, based on the distortion-free pinhole imaging model, a generalized SF calibration model is proposed for an off-axis DIC-based video deflectometer. Then, the transversal relationship between the proposed SF calibration method and three commonly used SF calibration methods was discussed. The accuracy of these SF calibration methods was also compared using indoor rigid body translation experiments. It is proved that the proposed method can be degraded to one of the existing calibration methods in most cases, but will provide more accurate results under the following four conditions: (1) the camera's pitch angle is more than 20°, (2) the focal length is more than 25 mm, (3) the pixel size of the camera sensor is more than 5 um, and (4) the image y-coordinate corresponding to the measurement point after deformation is far from the image center.
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Affiliation(s)
- Long Tian
- School of Science, China University of Geosciences, Beijing 100083, China
| | - Tong Ding
- School of Science, China University of Geosciences, Beijing 100083, China
| | - Bing Pan
- Institute of Solid Mechanics, School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
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27
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Fajardo O, Grebenyuk E, Chaves K, Ding T, Zhao Z, Curlin H, Harvey L. Impact of Trainee Involvement on Surgical Outcomes of Abdominal and Laparoscopic Myomectomy. J Minim Invasive Gynecol 2022. [DOI: 10.1016/j.jmig.2022.09.087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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28
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Cheng J, Feng S, Zhang Y, Ding T, Jiang H, Zhang Z, Wang J, Wang X, Cheng M. Discovery of highly potent DENV NS2B-NS3 covalent inhibitors containing a phenoxymethylphenyl residue. Biochem Biophys Res Commun 2022; 627:214-219. [DOI: 10.1016/j.bbrc.2022.08.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 08/21/2022] [Indexed: 11/02/2022]
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Xing M, Deng M, Shi Y, Dai J, Ding T, Song Z, Zou W. Identification and characterization of N6-methyladenosine circular RNAs in the spinal cord of morphine-tolerant rats. Front Neurosci 2022; 16:967768. [PMID: 35992914 PMCID: PMC9388936 DOI: 10.3389/fnins.2022.967768] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 07/18/2022] [Indexed: 11/16/2022] Open
Abstract
Morphine tolerance (MT) is a tricky problem, the mechanism of it is currently unknown. Circular RNAs (circRNAs) serve significant functions in the biological processes (BPs) of the central nervous system. N6-methyladenosine (m6A), as a key post-transcriptional modification of RNA, can regulate the metabolism and functions of circRNAs. Here we explore the patterns of m6A-methylation of circRNAs in the spinal cord of morphine-tolerant rats. In brief, we constructed a morphine-tolerant rat model, performed m6A epitranscriptomic microarray using RNA samples collected from the spinal cords of morphine-tolerant rats and normal saline rats, and implemented the bioinformatics analysis. In the spinal cord of morphine-tolerant rats, 120 circRNAs with different m6A modifications were identified, 54 of which were hypermethylated and 66 of which were hypomethylated. Functional analysis of these m6A circRNAs found some important pathways involved in the pathogenesis of MT, such as the calcium signaling pathway. In the m6A circRNA-miRNA networks, several critical miRNAs that participated in the occurrence and development of MT were discovered to bind to these m6A circRNAs, such as miR-873a-5p, miR-103-1-5p, miR-107-5p. M6A modification of circRNAs may be involved in the pathogenesis of MT. These findings may lead to new insights into the epigenetic etiology and pathology of MT.
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Affiliation(s)
- Manyu Xing
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, China
| | - Meiling Deng
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, China
| | - Yufei Shi
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, China
| | - Jiajia Dai
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, China
| | - Tong Ding
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, China
| | - Zongbin Song
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, China
| | - Wangyuan Zou
- Department of Anesthesiology, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Wangyuan Zou,
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Zhao S, Song S, You Y, Zhang Y, Luo W, Han K, Ding T, Tian Y, Li X. Tuning redox ability of Zn3In2S6 with surfactant modification for highly efficient and selective photocatalytic C-C coupling. Molecular Catalysis 2022. [DOI: 10.1016/j.mcat.2022.112429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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31
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Liu J, Zhao S, Song S, Cong H, Luo W, Ding T, Tian Y, Li X. Salt-Promoted Water Removal from Reflux Toluene for Efficient One-Step Lactide Synthesis. Ind Eng Chem Res 2022. [DOI: 10.1021/acs.iecr.2c01345] [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: 11/29/2022]
Affiliation(s)
- Jiashu Liu
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, Institute of Shaoxing, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
| | - Shengnan Zhao
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, Institute of Shaoxing, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
| | - Song Song
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, Institute of Shaoxing, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
| | - Haifeng Cong
- National Engineering Research Center of Distillation Technology, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
| | - Wei Luo
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, Institute of Shaoxing, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
| | - Tong Ding
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, Institute of Shaoxing, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
| | - Ye Tian
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, Institute of Shaoxing, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
| | - Xingang Li
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, Institute of Shaoxing, School of Chemical Engineering & Technology, Tianjin University, Tianjin, 300350, P. R. China
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Lin H, Chen H, Zhao X, Ding T, Wang Y, Chen Z, Tian Y, Zhang P, Shen Y. Advances of exosomes in periodontitis treatment. Lab Invest 2022; 20:279. [PMID: 35729576 PMCID: PMC9210629 DOI: 10.1186/s12967-022-03487-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 06/15/2022] [Indexed: 02/08/2023]
Abstract
Periodontitis is an inflammatory disease initiated by dysbiosis of the local microbial community. Periodontitis can result in destruction of tooth-supporting tissue; however, overactivation of the host immune response is the main reason for alveolar bone loss. Periodontal tissue cells, immune cells, and even further activated osteoclasts and neutrophils play pro-inflammatory or anti-inflammatory roles. Traditional therapies for periodontitis are effective in reducing the microbial quantities and improving the clinical symptoms of periodontitis. However, these methods are non-selective, and it is still challenging to achieve an ideal treatment effect in clinics using the currently available treatments and approaches. Exosomes have shown promising potential in various preclinical and clinical studies, including in the diagnosis and treatment of periodontitis. Exos can be secreted by almost all types of cells, containing specific substances of cells: RNA, free fatty acids, proteins, surface receptors and cytokines. Exos act as local and systemic intercellular communication medium, play significant roles in various biological functions, and regulate physiological and pathological processes in numerous diseases. Exos-based periodontitis diagnosis and treatment strategies have been reported to obtain the potential to overcome the drawbacks of traditional therapies. This review focuses on the accumulating evidence from the last 5 years, indicating the therapeutic potential of the Exos in preclinical and clinical studies of periodontitis. Recent advances on Exos-based periodontitis diagnosis and treatment strategies, existing challenges, and prospect are summarized as guidance to improve the effectiveness of Exos on periodontitis in clinics.
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Affiliation(s)
- Hongbing Lin
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Huishan Chen
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Xuetao Zhao
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Tong Ding
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Yawei Wang
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Zhen Chen
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University,, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou, Guangdong, 510182, People's Republic of China
| | - Yue Tian
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Peipei Zhang
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Yuqin Shen
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China. .,Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University,, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou, Guangdong, 510182, People's Republic of China.
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Jiang X, Ding T, Gao Z, Zhao D, Tian Y, Song S, Li X. Activation of Oxygen Species on Ag/CoAlO Catalysts to Promote CO Oxidation by Enhancing Metal‐Support Interactions. ChemCatChem 2022. [DOI: 10.1002/cctc.202200653] [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: 11/10/2022]
Affiliation(s)
- Xiaotong Jiang
- Tianjin University School of Chemical Engineering & Technology CHINA
| | - Tong Ding
- Tianjin University School of Chemical Engineering & Technology CHINA
| | - Zhongnan Gao
- China Tianchen Engineering Corporation China Tianchen Engineering Corporation CHINA
| | - Dongyue Zhao
- Sinopec Research Institute of Petroleum Processing State Key Laboratory of Catalytic Material and Reaction Engineering CHINA
| | - Ye Tian
- Tianjin University School of Chemical Engineering & Technology CHINA
| | - Song Song
- Tianjin University School of Chemical Engineering & Technology CHINA
| | - Xingang Li
- Tianjin University Department of Catalysis Science & Technology,School of Chemical Engineering & Te 92 Weijin Road, Nankai District 300072 Tianjin CHINA
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Wu R, Su R, Ding T, Xue H, LI XF, Wang C. POS0549 IMBALANCED Tfr/Tfh IN PERIPHERAL BLOOD OF NEW-ONSET RHEUMATOID ARTHRITIS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
BackgroundRheumatoid arthritis (RA) is a kind of autoimmune disease characterized with chronic aggressive arthritis, presence of abnormal antibodies and persistent synovitis[1]. However, the pathogenesis of RA remained unclear by now. Several observations have showed that the breakdown of immune tolerance was involved in the development of RA. T follicular regulatory (Tfr) cells and T follicular helper (Tfh) cells, as a new subset of CD4+T cell, can exert an opposite effect in the regulation of humoral immunity[2]. Intensive researches have showed that the imbalance of Tfr/Tfh cell is related to the pathogenesis and development of autoimmune disease. There is still a lack of understanding of the relationship between Tfr/Tfh and RA, which needs further exploration.ObjectivesTo detect the expression of Tfh and Tfr cells in thr peripheral blood of patients with new-onset RA and healthy controls, and to explore the role of Tfh and Tfr cells in the pathogenesis and development of RA.MethodsWe enrolled 26 patients with new-onset RA who hospitalized at the Second Hospital of Shanxi Medical University from the June 2021 to the November 2021. And 17 age and gender-matched healthy adults were anticipated as controls. The absolute number of Tfh and Tfr cells in peripheral blood was detected by flow cytometry. Disease activity indicators were collected including erythrocyte sedimentation rate (ESR, mm/h) and Disease Activity Score in 28 joints (DAS28). Then we compared the expression of Tfh and Tfr cells between the patients and healthy controls and conducted the correlation analysis with disease activity.ResultsThere was significant decreased level of Tfr cells in the patients with new-onset RA compared with healthy controls (P<0.001) and a lower ratio of Tfr/Tfh in the patients (P<0.01). The reduced Tfr cells and Tfr/Tfh were significant negative correlation with the disease activity indicators including ESR and DAS28 (r=-0.305, P=0.033). There was no statistically significant in the absolute number of Tfh cells between patients and healthy controls, but the level of Tfh cell showed an increasing trend in new-onset RA.ConclusionThe results we investigated here showed that new-onset RA exhibited an imbalance of Tfr/Tfh, specifically reduced Tfr cells, compared with healthy controls, which were negatively correlated with higher disease activity in RA. It was likely that the imbalance of Tfr/Tfh in peripheral blood played an important role in the development of RA, which may be a target to treat RA.Table 1.A summary of data of all enrolled patients with RA and healthy controlsHC(n=17)New-onset RA(n=26)P valueAge(years)51.94±13.0355.88±13.56P=0.35Sex(male/female)4/137/19P=0.81ESR(mm/h) a-54.85±32.71-DAS28 a-5.09±1.56-Tfh cell count(cell/UL)b43.156(23.277,106.638)83.914(38.133,119.662)0.214Tfr cell count(cell/UL)b1.422(0.882,1.893)0.441(0.116,2.888)0.025*Tfr/Tfhb0.030(0.014,0.049)0.011(0.001,0.024)0.001**a Results are expressed as the mean ± standard error. b Results are expressed as the median(Q1,Q3).Normally distributed continuous variables were analyzed by the independent-samples Student’s t-test. And nonparametric variables were analyzed by Mann–Whitney U testFigure 1.The differences of Tfr and Tfh cells in peripheral blood between the healthy controls and patients with RA. Tfr cells were higher in new-onset RA leading to an imbalance of Tfr/Tfh. Statistical analyses were performed by the Mann-Whitney U test. (*P<0.05, **P<0.01)Figure 2.The correlation of disease activity with the level of Tfr cells and Tfr/Tfh. Tfr cells and Tfr/Tfh were negative associated with ESR and DAS28. Statistical analyses were performed by the Spearman correlation analysis.References[1]Sparks, J.A. Rheumatoid Arthritis [J]. Ann Intern Med, 2019, 170(1).DOI: 10.7326/AITC201901010.[2]Deng, J., Y. Wei, V.R. Fonseca, L. Graca, and D. Yu. T follicular helper cells and T follicular regulatory cells in rheumatic diseases [J]. Nat Rev Rheumatol, 2019, 15(8): 475-490.DOI: 10.1038/s41584-019-0254-2.Disclosure of InterestsNone declared.
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Abstract
Some oral squamous cell carcinomas (OSCCs) originate from preexisting oral potentially malignant disorders (OPMDs). Oral leukoplakia (OLK) is the most common and typical OPMD in the clinic, so treatment for it is essential to reduce OSCC incidence. Local chemotherapy is an option other than surgery considering the superficial site of OLK. However, there are no standardized drugs applied to OLK, and traditionally used chemotherapeutic drugs revealed limited efficacy for lack of adhesion. Hence, there is a growing demand to prepare new agents that combine mucoadhesion with an anti-OLK effect. Here, an isoguanosine-tannic acid (isoG-TA) supramolecular hydrogel via dynamic borate esters was successfully fabricated based on isoG and TA. Previously reported guanosine-TA (G-TA) hydrogel was also explored for an anti-OLK effect. Both gels not only exhibited ideal adhesive properties but also integrated anti-OLK activities in one system. In vitro cell viability indicated that isoG and TA inhibited the proliferation of dysplastic oral keratinocytes (DOKs). The in vivo OLK model evidence revealed that both gels showed potential to prevent OLK canceration. In addition, the probable anti-DOK mechanisms of isoG and TA were investigated. The results indicated that isoG could bind to adenosine kinase (ADK) and then affected the mammalian target of rapamycin (mTOR) pathway to inhibit DOK proliferation. TA could significantly and continuously reduce reactive oxygen species (ROS) in DOKs through its antioxidant effect. ROS plays an important role in the progression of cell cycle. We proved that the low level of ROS may inhibit DOK proliferation by inducing G0/G1 arrest in the cell cycle. Altogether, this study innovatively fabricated an isoG-TA hydrogel with ideal adhesion, and both isoG and TA showed in vitro inhibition of DOKs. Moreover, both isoG-TA and G-TA hydrogels possessed potential in delaying the malignant transformation of OLK, and the G-TA hydrogel showed a better statistical effect, providing an effective strategy for controlling OLK.
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Affiliation(s)
- T Ding
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - J Zou
- West China Hospital, Sichuan University, Chengdu, Sichuan, P. R. China
| | - J Qi
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - H Dan
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - F Tang
- The Affiliated Hospital of Stomatology, School of Stomatology, Zhejiang University School of Medicine and Key Laboratory of Oral Biomedical Research of Zhejiang Province, Hangzhou, P. R. China
| | - H Zhao
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
| | - Q Chen
- State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chinese Academy of Medical Sciences Research Unit of Oral Carcinogenesis and Management, Med-X Center for Materials, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, P. R. China
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Chan LWC, Ding T, Shao H, Huang M, Hui WFY, Cho WCS, Wong SCC, Tong KW, Chiu KWH, Huang L, Zhou H. Augmented Features Synergize Radiomics in Post-Operative Survival Prediction and Adjuvant Therapy Recommendation for Non-Small Cell Lung Cancer. Front Oncol 2022; 12:659096. [PMID: 35174074 PMCID: PMC8841850 DOI: 10.3389/fonc.2022.659096] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Accepted: 01/03/2022] [Indexed: 11/16/2022] Open
Abstract
Background Owing to the cytotoxic effect, it is challenging for clinicians to decide whether post-operative adjuvant therapy is appropriate for a non-small cell lung cancer (NSCLC) patient. Radiomics has proven its promising ability in predicting survival but research on its actionable model, particularly for supporting the decision of adjuvant therapy, is limited. Methods Pre-operative contrast-enhanced CT images of 123 NSCLC cases were collected, including 76, 13, 16, and 18 cases from R01 and AMC cohorts of The Cancer Imaging Archive (TCIA), Jiangxi Cancer Hospital and Guangdong Provincial People’s Hospital respectively. From each tumor region, 851 radiomic features were extracted and two augmented features were derived therewith to estimate the likelihood of adjuvant therapy. Both Cox regression and machine learning models with the selected main and interaction effects of 853 features were trained using 76 cases from R01 cohort, and their test performances on survival prediction were compared using 47 cases from the AMC cohort and two hospitals. For those cases where adjuvant therapy was unnecessary, recommendations on adjuvant therapy were made again by the outperforming model and compared with those by IBM Watson for Oncology (WFO). Results The Cox model outperformed the machine learning model in predicting survival on the test set (C-Index: 0.765 vs. 0.675). The Cox model consists of 5 predictors, interestingly 4 of which are interactions with augmented features facilitating the modulation of adjuvant therapy option. While WFO recommended no adjuvant therapy for only 13.6% of cases that received unnecessary adjuvant therapy, the same recommendations by the identified Cox model were extended to 54.5% of cases (McNemar’s test p = 0.0003). Conclusions A Cox model with radiomic and augmented features could predict survival accurately and support the decision of adjuvant therapy for bettering the benefit of NSCLC patients.
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Affiliation(s)
- Lawrence Wing-Chi Chan
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
- *Correspondence: Lawrence Wing-Chi Chan, ; William Chi-Shing Cho, ; Haiyu Zhou,
| | - Tong Ding
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Huiling Shao
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Mohan Huang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - William Fuk-Yuen Hui
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - William Chi-Shing Cho
- Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong, Hong Kong SAR, China
- *Correspondence: Lawrence Wing-Chi Chan, ; William Chi-Shing Cho, ; Haiyu Zhou,
| | - Sze-Chuen Cesar Wong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Ka Wai Tong
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Keith Wan-Hang Chiu
- Department of Diagnostic Radiology, University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Luyu Huang
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Thoracic Surgery, Jiangxi Lung Cancer Institute, Jiangxi Cancer Hospital, Nanchang, China
| | - Haiyu Zhou
- Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
- Department of Thoracic Surgery, Jiangxi Lung Cancer Institute, Jiangxi Cancer Hospital, Nanchang, China
- *Correspondence: Lawrence Wing-Chi Chan, ; William Chi-Shing Cho, ; Haiyu Zhou,
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Lyu J, Tian Y, Zhang Y, Wu P, Pan Y, Ding T, Song S, Li X. Hydrogen reverse spillover eliminating methanation over efficient Pt–Ni catalysts for the water–gas shift reaction. Catal Sci Technol 2022. [DOI: 10.1039/d2cy00952h] [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: 11/21/2022]
Abstract
Hydrogen reverse spillover from Ni0 sites to Pt sites completely eliminated the side reaction of methanation and improved the catalytic activity of Ni0 sites over a nickel phyllosilicate-supported Pt–Ni catalyst during the water–gas shift reaction.
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Affiliation(s)
- Jing Lyu
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
| | - Ye Tian
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
| | - Yingtian Zhang
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
| | - Peipei Wu
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
| | - Yu Pan
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
| | - Tong Ding
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
| | - Song Song
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
| | - Xingang Li
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering & Technology, Institute of Shaoxing, Tianjin University, Tianjin, 300350, P. R. China
- School of Chemistry and Chemical Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu, 730070, P. R. China
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Ye W, Liu X, He R, Gou L, Lu M, Yang G, Wen J, Wang X, Liu F, Ma S, Qian W, Jia S, Ding T, Sun L, Gao W. Improving antibody affinity through <i>in vitro</i> mutagenesis in complementarity determining regions. J Biomed Res 2022; 36:155-166. [PMID: 35545451 PMCID: PMC9179109 DOI: 10.7555/jbr.36.20220003] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
High-affinity antibodies are widely used in diagnostics and for the treatment of human diseases. However, most antibodies are isolated from semi-synthetic libraries by phage display and do not possess in vivo affinity maturation, which is triggered by antigen immunization. It is therefore necessary to engineer the affinity of these antibodies by way of in vitro assaying. In this study, we optimized the affinity of two human monoclonal antibodies which were isolated by phage display in a previous related study. For the 42A1 antibody, which targets the liver cancer antigen glypican-3, the variant T57H in the second complementarity-determining region of the heavy chain (CDR-H2) exhibited a 2.6-fold improvement in affinity, as well as enhanced cell-binding activity. For the I4A3 antibody to severe acute respiratory syndrome coronavirus 2, beneficial single mutations in CDR-H2 and CDR-H3 were randomly combined to select the best synergistic mutations. Among these, the mutation S53P-S98T improved binding affinity (about 3.7 fold) and the neutralizing activity (about 12 fold) compared to the parent antibody. Taken together, single mutations of key residues in antibody CDRs were enough to increase binding affinity with improved antibody functions. The mutagenic combination of key residues in different CDRs creates additive enhancements. Therefore, this study provides a safe and effective in vitro strategy for optimizing antibody affinity.
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Affiliation(s)
- Wei Ye
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xiaoyu Liu
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Ruiting He
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Liming Gou
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Ming Lu
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Gang Yang
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Jiaqi Wen
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Xufei Wang
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Fang Liu
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Sujuan Ma
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Weifeng Qian
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, Jiangsu 215001, China
| | - Shaochang Jia
- Department of Biotherapy, Nanjing Jinling Hospital, Nanjing, Jiangsu 210002, China
| | - Tong Ding
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
| | - Luan Sun
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Wei Gao and Luan Sun, School of Basic Medical Sciences, Nanjing Medical University, 101 Longmian Road, Nanjing, Jiangsu 211166, China. Tel/Fax: +86-25-86869471/+86-25-86869471, E-mails:
and
| | - Wei Gao
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Personalized Cancer Medicine, Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu 211166, China
- Wei Gao and Luan Sun, School of Basic Medical Sciences, Nanjing Medical University, 101 Longmian Road, Nanjing, Jiangsu 211166, China. Tel/Fax: +86-25-86869471/+86-25-86869471, E-mails:
and
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Xu D, Ding T, Sun Y, Li S, Jing W. Interlayer-confined two-dimensional manganese oxide-carbon nanotube catalytic ozonation membrane for efficient water purification. Front Chem Sci Eng 2021. [DOI: 10.1007/s11705-021-2110-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lin H, Chen H, Zhao X, Chen Z, Zhang P, Tian Y, Wang Y, Ding T, Wang L, Shen Y. Advances in mesenchymal stem cell conditioned medium-mediated periodontal tissue regeneration. J Transl Med 2021; 19:456. [PMID: 34736500 PMCID: PMC8567704 DOI: 10.1186/s12967-021-03125-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 10/22/2021] [Indexed: 12/19/2022] Open
Abstract
Periodontitis is a chronic inflammatory disease that leads to the destruction of both soft and hard periodontal tissues. Complete periodontal regeneration in clinics using the currently available treatment approaches is still a challenge. Mesenchymal stem cells (MSCs) have shown promising potential to regenerate periodontal tissue in various preclinical and clinical studies. The poor survival rate of MSCs during in vivo transplantation and host immunogenic reaction towards MSCs are the main drawbacks of direct use of MSCs in periodontal tissue regeneration. Autologous MSCs have limited sources and possess patient morbidity during harvesting. Direct use of allogenic MSCs could induce host immune reaction. Therefore, the MSC-based indirect treatment approach could be beneficial for periodontal regeneration in clinics. MSC culture conditioned medium (CM) contains secretomes that had shown immunomodulatory and tissue regenerative potential in pre-clinical and clinical studies. MSC-CM contains a cocktail of growth factors, cytokines, chemokines, enzymes, and exosomes, extracellular vesicles, etc. MSC-CM-based indirect treatment has the potential to eliminate the drawbacks of direct use of MSCs for periodontal tissue regeneration. MSC-CM holds the tremendous potential of bench-to-bed translation in periodontal regeneration applications. This review focuses on the accumulating evidence indicating the therapeutic potential of the MSC-CM in periodontal regeneration-related pre-clinical and clinical studies. Recent advances on MSC-CM-based periodontal regeneration, existing challenges, and prospects are well summarized as guidance to improve the effectiveness of MSC-CM on periodontal regeneration in clinics.
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Affiliation(s)
- Hongbing Lin
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Key laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou, Guangdong, 510182, China
| | - Huishan Chen
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Xuetao Zhao
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Zhen Chen
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Key laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou, Guangdong, 510182, China
| | - Peipei Zhang
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Yue Tian
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Yawei Wang
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Tong Ding
- Jilin Provincial Key Laboratory of Tooth Development and Bone Remodeling, Hospital of Stomatology, Jilin University, Changchun, Jilin, 130021, People's Republic of China
| | - Lijing Wang
- Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou, China.,Vascular Biology Research Institute, School of Life Sciences and Biopharmaceutics, Guangdong Pharmaceutical University, Guangzhou, China
| | - Yuqin Shen
- Department of Periodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Key laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou, Guangdong, 510182, China.
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Gao Z, Zhao D, Cheng Q, Zhao D, Yang Y, Tian Y, Ding T, Song S, Guo L, Li X. Mesoporous SiO
2
‐Encapsulated Nano‐Co
3
O
4
Catalyst for Efficient CO Oxidation. ChemCatChem 2021. [DOI: 10.1002/cctc.202100602] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Zhongnan Gao
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
| | - Dongyue Zhao
- State Key Laboratory of Catalytic Material and Reaction Engineering Research Institute of Petroleum Processing Sinopec Beijing 100083 P. R. China
| | - Qingpeng Cheng
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
| | - Dejian Zhao
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
| | - Yuexi Yang
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
| | - Ye Tian
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
| | - Tong Ding
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
| | - Song Song
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
| | - Lihong Guo
- School of Chemistry and Chemical Engineering Henan University of Technology Zhengzhou 450001 P. R. China
| | - Xingang Li
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) State Key Laboratory of Chemical Engineering Tianjin Key Laboratory of Applied Catalysis Science and Engineering School of Chemical Engineering and Technology Tianjin University Tianjin 300072 P. R. China
- Chemistry and Chemical Engineering Guangdong Laboratory Shantou 515031 P. R. China
- School of Chemical and Biological Engineering Lanzhou Jiaotong University Lanzhou 730070 P. R. China
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Yang H, Zhao Q, Chen HY, Liu W, Ding T, Yang B, Song JC. The median effective concentration of propofol with different doses of esketamine during gastrointestinal endoscopy in elderly patients: A randomized controlled trial. Br J Clin Pharmacol 2021; 88:1279-1287. [PMID: 34496448 DOI: 10.1111/bcp.15072] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 08/20/2021] [Accepted: 08/28/2021] [Indexed: 12/27/2022] Open
Abstract
AIMS Propofol may result in hypotension, bradycardia and loss of protective reflexes, especially in elderly patients, while esketamine, a N-methyl-D-aspartate receptor antagonist, has analgesic, anaesthetic and sympathomimetic properties and is known to cause less cardiorespiratory depression. We hypothesized that esketamine may reduce the median effective concentration (EC50 ) of propofol and coadministration is less likely to produce hypotension during gastrointestinal endoscopy in elderly patients. METHODS Ninety elderly patients, aged 65-89 years, undergoing gastrointestinal endoscopy were randomly assigned into 3 groups: SK0 (control) group (0 mg/kg esketamine); SK0.25 group (0.25 mg/kg esketamine); and SK0.5 group (0.5 mg/kg esketamine). Anaesthesia was achieved by plasma target-controlled infusion of propofol with different bolus doses of esketamine. The EC50 of propofol for gastrointestinal endoscopy was determined by using the up-and-down method of Dixon. The initial plasma target concentration is 2.5 μg/mL and the adjacent concentration gradient is 0.5 μg/mL. Cardiovascular variables were also measured. RESULTS Propofol EC50 s and its 95% confidence interval for gastrointestinal endoscopy in elderly patients were 3.69 (2.59-4.78), 2.45 (1.85-3.05) and 1.71 (1.15-2.27) μg/mL in the SK0, SK0.25 and SK0.5 groups, respectively (P < .05). The average percent change from baseline mean arterial pressure was -19.7 (7.55), -15.2 (7.14) and -10.1 (6.73), in the SK0, SK0.25 and SK0.5 groups, respectively (P < .001). CONCLUSION Combination medication of propofol with esketamine reduced the propofol EC50 during gastrointestinal endoscopy in elderly patients compared with administration of propofol without esketamine. Increasing doses of SK with propofol are less likely to produce hypotension with shorter recovery time.
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Affiliation(s)
- Hua Yang
- Department of Anesthesiology, Shidong Hospital of Shanghai, University of Shanghai for Science and Technology, Shanghai, China
| | - Qian Zhao
- Department of Anesthesiology, Shidong Hospital of Shanghai, University of Shanghai for Science and Technology, Shanghai, China
| | - Hai-Yan Chen
- Department of Anesthesiology, Shidong Hospital of Shanghai, University of Shanghai for Science and Technology, Shanghai, China
| | - Wen Liu
- Department of Anesthesiology, Shidong Hospital of Shanghai, University of Shanghai for Science and Technology, Shanghai, China
| | - Tong Ding
- Department of Anesthesiology, Shidong Hospital of Shanghai, University of Shanghai for Science and Technology, Shanghai, China
| | - Bin Yang
- Department of Anesthesiology, Chongqing University Cancer Hospital, Chongqing, China
| | - Jin-Chao Song
- Department of Anesthesiology, Shidong Hospital of Shanghai, University of Shanghai for Science and Technology, Shanghai, China
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Wu R, An J, Ding T, Xue H, Li XF, Wang C. POS0396 THE LEVEL OF PERIPHERAL REGULATORY T CELLS IS ASSOCIATED WITH THE CHANGES OF INTESTINAL MICROBIOTA IN PATIENTS WITH RHEUMATOID ARTHRITIS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.2783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Background:Rheumatoid arthritis (RA) is a systemic autoimmunity inflammation disease characterized with chronic aggressive arthritis and the presence of abnormal antibodies. Several observations showed that the breakdown of immune tolerance caused by many complex interactions was involved in the development of RA[1]. However, the pathogenesis of RA remained unclear. It has been confirmed that the imbalance of Th17 and Treg cells play a crucial role in destroying immune tolerance [2]. Besides, researches showed that intestinal microbiota can influence host immunity by acting on the immune cells to play pro-inflammatory or anti-inflammatory effect, and in turn immune system can also regulate the microbiota[3, 4]. Thus, a frontier point of view in the field of rheumatism, immune microecology, was proposed, which is a novel concept for the breakdown of immune tolerance. Studies have confirmed that there was an imbalance of intestinal microbiota in patients with RA [4]. But the relationship between the CD4+T subsets cells and intestinal microbiota in RA is unknown.Objectives:We detected and compared the absolute number of CD4+T cells subsets in the peripheral blood and the proportion or abundance of intestinal microbiota in patients with RA and healthy adults, and then analyzed the relationship between them to explore the role of CD4+T cells subsets and intestinal microbiota in the pathogenesis of RA.Methods:We collected the sample of stool and blood from 15 patients with RA hospitalized at the Second Hospital of Shanxi Medical University and 8 age and gender-matched healthy controls(HC). The absolute number of CD4+T cells subsets including Th1, Th2, Th17 and Treg cells were detected by flow cytometry. The 16S rRNA in the stool specimens were sequenced by the Roche/45 high-throughput sequencing platform. We analyzed whether there was correlarion between CD4+T subsets cells and intestinal microbiota.Results:Patients with RA had a higher level of Christensenellaceae and a lower level of Pseudomonadaceae as compared with those of HCs at the family level (p<0.05). And at the genus level, the patients with RA had higher levels of Ruminococcus torques, Christensenellaceae R-7, Ruminiclostridium 9 and Ruminococcus 1 compared with those of HCs (p<0.05) (Figure 1).And the Ruminococcus torques at the genus level was negative correlated with the absolute number of Treg cells (p<0.001) (Figure 2).Conclusion:The results here suggested that there were different proportion or abundance of intestinal microbiota between the patients with RA andHCs. And the changes of intestinal microbiota such as Ruminococcus torques were associated with Treg cells, further indicating that the imbalance of intestinal microbiota in RA can destory the immune tolerance. The above results uncovered that the intestinal microbiota had immunomodulatory function, which may be the upstream mechanism participated in the pathogenesis of RA.References:[1]Weyand CM, Goronzy JJ. The immunology of rheumatoid arthritis. Nat Immunol 2021, 22(1): 10-18.[2]Weyand CM, Goronzy JJ. Immunometabolism in the development of rheumatoid arthritis. Immunol Rev 2020, 294(1): 177-187.[3]Brown EM, Kenny DJ, Xavier RJ. Gut Microbiota Regulation of T Cells During Inflammation and Autoimmunity. Annu Rev Immunol 2019, 37: 599-624.[4]du Teil Espina M, Gabarrini G, Harmsen HJM, Westra J, van Winkelhoff AJ, van Dijl JM. Talk to your gut: the oral-gut microbiome axis and its immunomodulatory role in the etiology of rheumatoid arthritis. FEMS Microbiol Rev 2019, 43(1).Figure 1.At the family level (a-b) and the genus level(c-f), the relative abundance of intestinal microbiota in patients with RA and HCs were different. Data were expressed as median (Q1, Q3) and analyzed by Wilcoxon test. (*** P < 0.001, **P < 0.01 and *P < 0.05).Figure 2.A heatmap shows the correlation between the intestinal microbiota and CD4+T cells in patients with RA, and Ruminococcus torques at the genus level was negative related with Treg cells. (Colors indicate the Spearman rank correlation, *** P < 0.001).Disclosure of Interests:None declared
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Chaves K, Ding T, Zhao Z, Yunker A. 66 The association between increasing patient body mass index and gynecologic operating room scheduling inaccuracies. Am J Obstet Gynecol 2021. [DOI: 10.1016/j.ajog.2021.04.091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Ding T, LI BC, Su R, LI XF, Wang C. POS1006 ABERRANT Th17 CELLS EXPANSION AND RISK FACTORS IN ANKYLOSING SPONDYLITIS PATIENTS COMPLICATED WITH CARDIOVASCULAR EVENTS. Ann Rheum Dis 2021. [DOI: 10.1136/annrheumdis-2021-eular.3442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background:The incidence of Ankylosing Spondylitis (AS) complicated with cardiovascular diseases (CVD) has increased in recent years [1]. However, identification of risk factors indicating the development of CAD in AS patients is lacking. Th17 cells are increasingly recognized to be important in atherogenesis [2]. However, the role of these cells in the pathogenesis of ankylosing spondylitis patients complicated with cardiovascular events remains elusive.Objectives:This study aimed to assess the level of circulating Th17 cells as well as other lymphocyte subsets such as Treg, Th, Ts, and NK cells in AS combined with CVD, and further to evaluate whether elevations in special PBMC subpopulations in AS patients indicate an increased risk of CVD.Methods:Samples were assessed from 141 AS patients hospitalized at the Second Hospital of Shanxi Medical University (60 AS patients combined with CVD and 81 AS patients without CVD) and 100 healthy controls. The absolute numbers of lymphocytes and CD4+ T cells in peripheral blood were determined using Flow Cytometer. The association between PBMC subpopulations and CVD development in AS patients were analyzed using multivariable logistic regression.Results:1. Compared with AS group, AS with CVD group exhibited significant increases in the number of Th17 cells (P=0.001) and Treg cells (P=0.046). The ratio of Th17/Treg was also increased (P=0.085).2. Analogous increases in the absolute number (P<0.001) and frequency (P<0.001) of Th1 cells, as well as the ratio of Th1/Th2 (P<0.001) and Th1/Treg (P=0.004) were also present in AS with CVD patients, compared to those without CVD.3. Compared to HCs, 141 AS patients showed significantly decreased Treg cells (P<0.012) and increased Th17/Treg (P=0.001).4. Logistic regression showed age (odds ratio: 1.09; 95% CI: 1.035-1.137), hypertension (odds ratio: 3.31; 95% CI: 1.152-9.528), diabetes (odds ratio: 8.03; 95% CI: 1.251-51.503), and elevated level of Th1 number (odds ratio: 1.01; 95% CI: 1.003-1.016) and DD (D-dimer) (odds ratio: 1.00; 95% CI: 1.000-1.002) were significantly correlated with the onset of CVD in AS patients.5. Smoke, increased Th17 level, and use of NSAIDS were also positively correlated with the onset of CVD although the P-values did not reach significant.Conclusion:Our data indicates aberrant expansion of Th17 cells in AS with CVD patients. Moreover, age, hypertension, diabetes, and increased level of Th1 in PBMC and DD are single independent risk factors for the presence of CVD in AS. The mechanisms of atherogenesis in AS may associate with the elevations in Th1 and Th17 cells. Imbalance of Th1/Th2 and Th17/Treg may be shared etiologic pathways of AS and CVD, providing attractive targets for the prevention and therapy of CVD development in AS patients.References:[1]Kim JH, Choi IA. Cardiovascular morbidity and mortality in patients with spondyloarthritis: A meta-analysis. Int J Rheum Dis (2020). doi: 10.1111/1756-185x.13970.[2]Saigusa R, Winkels H, Ley K. T cell subsets and functions in atherosclerosis. Nat Rev Cardiol. 2020 Jul;17(7):387-401. doi: 10.1038/s41569-020-0352-5.Figure 1.Compared with AS group, AS with CVD group exhibited significant increases in the number of Th17 cells (P=0.001) and Treg cells (P=0.046). The ratio of Th17/Treg was also increased (P=0.085). The absolute number (P<0.001) and frequency (P<0.001) of Th1 cells, as well as the ratio of Th1/Th2 (P<0.001) and Th1/Treg (P=0.004) were also present in AS with CVD patients.Disclosure of Interests:None declared.
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Gao Z, Zhao D, Yang Y, Jiang X, Tian Y, Ding T, Li X. Influence of Copper Locations on Catalytic Properties and Activities of Cu/SAPO-34 in C 3H 6-SCR. Ind Eng Chem Res 2021. [DOI: 10.1021/acs.iecr.0c05809] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Zhongnan Gao
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Dongyue Zhao
- State Key Laboratory of Catalytic Material and Reaction Engineering, Research Institute of Petroleum Processing, Sinopec, Beijing 100083, P. R. China
| | - Yuexi Yang
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Xiaotong Jiang
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Ye Tian
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Tong Ding
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China
| | - Xingang Li
- Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), State Key Laboratory of Chemical Engineering, Tianjin Key Laboratory of Applied Catalysis Science and Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, P. R. China
- School of Chemical and Biological Engineering, Lanzhou Jiaotong University, Lanzhou 730070, P. R. China
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Sun L, Gao F, Gao Z, Ao L, Li N, Ma S, Jia M, Li N, Lu P, Sun B, Ho M, Jia S, Ding T, Gao W. Shed antigen-induced blocking effect on CAR-T cells targeting Glypican-3 in Hepatocellular Carcinoma. J Immunother Cancer 2021; 9:e001875. [PMID: 33833049 PMCID: PMC8039282 DOI: 10.1136/jitc-2020-001875] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2021] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Glypican-3 (GPC3), a cell surface glycoprotein that is pathologically highly expressed in hepatocellular carcinoma (HCC), is an attractive target for immunotherapies, including chimeric antigen receptor (CAR) T cells. The serum GPC3 is frequently elevated in HCC patients due to the shedding effect of cell surface GPC3. The shed GPC3 (sGPC3) is reported to block the function of cell-surface GPC3 as a negative regulator. Therefore, it would be worth investigating the potential influence of antigen shedding in anti-GPC3 CAR-T therapy for HCC. METHODS In this study, we constructed two types of CAR-T cells targeting distinct epitopes of GPC3 to examine how sGPC3 influences the activation and cytotoxicity of CAR-T cells in vitro and in vivo by introducing sGPC3 positive patient serum or recombinant sGPC3 proteins into HCC cells or by using sGPC3-overexpressing HCC cell lines. RESULTS Both humanized YP7 CAR-T cells and 32A9 CAR-T cells showed GPC3-specific antitumor functions in vitro and in vivo. The existence of sGPC3 significantly inhibited the release of cytokines and the cytotoxicity of anti-GPC3 CAR-T cells in vitro. In animal models, mice carrying Hep3B xenograft tumors expressing sGPC3 exhibited a worse response to the treatment with CAR-T cells under both a low and high tumor burden. sGPC3 bound to CAR-T cells but failed to induce the effective activation of CAR-T cells. Therefore, sGPC3 acted as dominant negative regulators when competed with cell surface GPC3 to bind anti-GPC3 CAR-T cells, leading to an inhibitory effect on CAR-T cells in HCC. CONCLUSIONS We provide a proof-of-concept study demonstrating that GPC3 shedding might cause worse response to CAR-T cell treatment by competing with cell surface GPC3 for CAR-T cell binding, which revealed a new mechanism of tumor immune escape in HCC, providing a novel biomarker for patient enrolment in future clinical trials and/or treatments with GPC3-targeted CAR-T cells.
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MESH Headings
- Animals
- Binding, Competitive
- Biomarkers, Tumor/antagonists & inhibitors
- Biomarkers, Tumor/blood
- Biomarkers, Tumor/immunology
- Carcinoma, Hepatocellular/blood
- Carcinoma, Hepatocellular/immunology
- Carcinoma, Hepatocellular/pathology
- Carcinoma, Hepatocellular/therapy
- Cell Line, Tumor
- Cytokines/metabolism
- Cytotoxicity, Immunologic
- Female
- Glypicans/antagonists & inhibitors
- Glypicans/blood
- Glypicans/immunology
- Immunotherapy, Adoptive
- Liver Neoplasms/blood
- Liver Neoplasms/immunology
- Liver Neoplasms/pathology
- Liver Neoplasms/therapy
- Lymphocyte Activation
- Mice, Inbred BALB C
- Mice, Inbred NOD
- Mice, Nude
- Proof of Concept Study
- Protein Binding
- Receptors, Chimeric Antigen/genetics
- Receptors, Chimeric Antigen/immunology
- Receptors, Chimeric Antigen/metabolism
- T-Lymphocytes/immunology
- T-Lymphocytes/metabolism
- T-Lymphocytes/transplantation
- Tumor Burden
- Xenograft Model Antitumor Assays
- Mice
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Affiliation(s)
- Luan Sun
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Fang Gao
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Zhanhui Gao
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
- Department of Nephrology, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Lei Ao
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Na Li
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Sujuan Ma
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Meng Jia
- School of Chemistry and Molecular Biosciences, The University of Queensland - Saint Lucia Campus, Saint Lucia, Queensland, Australia
- Department of Biotherapy, Nanjing Jinling Hospital, Nanjing, Jiangsu, China
| | - Nan Li
- Laboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Peihua Lu
- Department of Medical Oncology, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
| | - Beicheng Sun
- Department of Hepatobiliary Surgery, The Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Mitchell Ho
- Laboratory of Molecular Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Shaochang Jia
- Department of Biotherapy, Nanjing Jinling Hospital, Nanjing, Jiangsu, China
| | - Tong Ding
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Wei Gao
- Key Laboratory of Human Functional Genomics of Jiangsu Province, National Health Commission Key Laboratory of Antibody Techniques, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, Jiangsu, China
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Wu J, Sun W, Yang X, Wang H, Liu X, Chi K, Zhou L, Huang X, Zhao S, Ding T, Meng B, Lin D. FP07.03 Landscape Heterogeneity of PD-L1 Expression and Immune Cells Predicts Prognosis of Metastatic Non-Small Cell Lung Cancer. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.103] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Niu Y, Ding T, Liu J, Zhang G, Tong L, Cheng X, Yang Y, Chen Z, Tang B. Fluorescence switch of gold nanoclusters stabilized with bovine serum albumin for efficient and sensitive detection of cysteine and copper ion in mice with Alzheimer's disease. Talanta 2021; 223:121745. [PMID: 33298269 DOI: 10.1016/j.talanta.2020.121745] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 09/25/2020] [Accepted: 10/04/2020] [Indexed: 12/20/2022]
Abstract
The near-infrared fluorescence of gold nanoclusters stabilized with bovine serum albumin (BSA -AuNCs) centered at 675 nm could be enhanced by cysteine and then effectively quenched by copper ion (Cu2+), therefore, cysteine and copper ion could be detected in sequence. At "on" state, fluorescence enhancement of BSA-AuNCs is generated due to the reaction between cysteine and BSA-AuNCs, via filling the surface defect of gold nanoclusters, while Cu2+ can further oxidize the reductive sulfydryl of cysteine and interact with amino acids presented in the BSA chain, inducing gold nanoclusters to aggregate, thus causing "off" state with fluorescence quenching. Fluorescence switch of BSA-AuNCs can be used for cysteine and Cu2+ detection in mice brain with Alzheimer's disease (AD) in vitro, with fast response, high chemical stability and sensitivity. Besides, it was able to image the endogenous Cu2+ in liver and heart of AD mice in situ. The results are promising, especially in the framework of early diagnosis of Alzheimer's disease.
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Affiliation(s)
- Yaxin Niu
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
| | - Tong Ding
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
| | - Junmin Liu
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
| | - Guanglu Zhang
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
| | - Lili Tong
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
| | - Xiufen Cheng
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
| | - Yanmei Yang
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
| | - Zhenzhen Chen
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China.
| | - Bo Tang
- College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Key Laboratory of Molecular and Nano Probes, Ministry of Education, Institute of Molecular and Nano Science, Shandong Normal University, Jinan 250014, PR China
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Chen J, Ding T, Liang W, Li T, Wu S, Xie W, Ding N, Tang Y, Ding Z. Generation and Characterization of Monoclonal Antibody Against Porcine Epidemic Diarrhea Virus Nonstructural Protein 13. Monoclon Antib Immunodiagn Immunother 2021; 39:222-227. [PMID: 33351712 DOI: 10.1089/mab.2020.0028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) is an enteric swine coronavirus. Recent PEDV eruption in East Asian and North American countries made it notorious and caused huge economic losses to the porcine industry. Nonstructural protein 13 (nsp13) is a nucleic acid helicase/NTPase that plays a critical role in viral gene transcription and viral replication. To investigate the function of nsp13 in the context of PEDV infection, here, PEDV nsp13 gene was amplified and cloned into pET28a/pET30a/pGEX-6P-1 expression vectors. The recombinant his-tagged nsp13 and GST-tagged nsp13 were expressed. Purified his-tagged nsp13 from pET28a-nsp13 vectors was chosen for immunization. Three monoclonal antibodies (mAbs) named 5A9, 5C7, and 5G7 were identified from the hybridoma cells, and were characterized by Western blot analysis and immunofluorescent assay, which demonstrated high specificity of these three mAbs with pCAGGS-HA-nsp13. All three mAbs belong to IgG1+ kappa subclass. However, only mAb 5A9 could effectively and specifically recognize PEDV expressing nsp13. Furthermore, the generated antibody against nsp13 could be applied to investigate nsp13 function during PEDV replication.
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Affiliation(s)
- Jun Chen
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
| | - Tong Ding
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
| | - Wenqi Liang
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
| | - Ting Li
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
| | - Shengqiang Wu
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
| | - Wenqing Xie
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
| | - Nengshui Ding
- State Key Laboratory for Pig Genetic Improvement and Production Technology, Jiangxi Agricultural University, Nanchang, China
| | - Yuxin Tang
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
| | - Zhen Ding
- Department of Veterinary Preventive Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, China.,Jiangxi Provincial Key Laboratory for Animal Health, Jiangxi Agricultural University, Nanchang, China
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