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Natalsky AA, Filimonov VB, Shadsky SO, Ivanov NA, Pashkin KP. [Endoscopic prevention of bleeding during resection of mucous membrane neoplasms of hollow organs of gastrointestinal tract]. Khirurgiia (Mosk) 2023:66-71. [PMID: 37707334 DOI: 10.17116/hirurgia202309166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
OBJECTIVE To optimize endoscopic prevention of bleeding during resection of mucous membrane neoplasms of hollow organs of gastrointestinal tract and minimize the risk of intra- and postoperative complications. MATERIAL AND METHODS. A S Ystematic review and meta-analysis were made in accordance with the PRISMA recommendations. Statistical analysis was performed in Cohrane Review Manager ver. 5.4. RESULTS. THERE ARE 3 Methods of endoscopic prevention of bleeding during polypectomy, i.e. 0.01% adrenaline injection, endoscopic clip placement and endoscopic polyp band ligation. Endoscopic polyp band ligation is characterized by minimum complication rate. CONCLUSION Endoscopic polyp band ligation is preferable due to minimum complication rate. If ligation is impossible, prophylactic clip placement may be performed. Adrenaline injection is the least effective method and may be used only if two above-mentioned methods are ineffective.
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Affiliation(s)
- A A Natalsky
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - V B Filimonov
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - S O Shadsky
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - N A Ivanov
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - K P Pashkin
- Pavlov Ryazan State Medical University, Ryazan, Russia
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2
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Natalsky AA, Filimonov VB, Shadsky SO, Ivanov NA, Pashkin KP. [Prevention of bleeding in polypectomy]. Khirurgiia (Mosk) 2023:53-59. [PMID: 37916558 DOI: 10.17116/hirurgia202310153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2023]
Abstract
OBJECTIVE To improve early treatment outcomes in patients with gastrointestinal polyps using a new device designed for prevention of bleeding during endoscopic minimally invasive polypectomy. MATERIAL AND METHODS A prospective trial included 35 patients with 36 colonic polyps (stalk diameter >5 mm). Polyp ligation procedure was performed using a novel device providing delivery and tightening the knot before polypectomy. RESULTS All polyps were successfully removed without any technical difficulties and exposed to histological examination. Mean age of patients was 64 years (52-81), mean dimension of polyps - 15.6 mm (10-40), mean thickness of stalk - 8 mm (5-12). There were no intraoperative and early postoperative complications. All patients were discharged after 2 postoperative days. CONCLUSION The proposed method for prevention of bleeding during polypectomy is simple, effective and safe for clinical practice.
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Affiliation(s)
- A A Natalsky
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - V B Filimonov
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - S O Shadsky
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - N A Ivanov
- Pavlov Ryazan State Medical University, Ryazan, Russia
| | - K P Pashkin
- Pavlov Ryazan State Medical University, Ryazan, Russia
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Greenberg JA, Ivanov NA, Shah Y, Kulm S, Williams J, Tran CG, Scognamiglio T, Lee YJ, Egan CE, Min IM, Zarnegar R, Howe J, Keutgen X, Fahey TJ, Elemento O, Finnerty BM. Abstract 5270: Developing a predictive model for pancreatic neuroendocrine tumor metastatic potential: A multi-institutional analysis. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-5270] [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: 11/16/2022]
Abstract
Abstract
Pancreatic neuroendocrine tumors (PNETs) are rare neoplasms that arise from cells in the islets of Langerhans, with surgical resection presently recommended for tumors > 2cm. While many PNETs have the propensity to be indolent, some small tumors display aggressive features with early metastatic potential. We used machine learning to develop a predictive model of metastatic potential dependent upon the transcriptomic signature of primary PNET tissue. To build this model, RNA sequencing data was obtained from the primary tissue of 96 surgically-resected PNETs from various institutions. Two cohorts were generated with equally balanced metastatic PNET composition (15 (32.6%) vs. 13 (26.5%), p=0.52). A differential gene expression analysis identified 20 concordantly differentially expressed genes associated with metastatic status between the two cohorts. Unsupervised surrogate variable analysis estimated and adjusted for significant sources of variation not related to metastatic potential and mitigated unwanted noise and batch effects. A gene set enrichment analysis identified an additional 29 genes that most frequently contributed to the enriched biologic pathways extrapolated from the sequencing data. Log transformed, batch corrected TPM values for these 49 genes were combined with an additional 10 clinically-relevant genes, including ARX and PDX1, that are known to contribute to PNET signatures or oncogenesis. The datasets were subsequently randomized in a 1:1 ratio and informative features with respect to metastatic status were identified utilizing a Boruta algorithm, with a priori exclusion of highly-correlative genes and those that displayed near zero variance. Nine genes, including AURKA, ARX, CDCA8, CPB2, MYT1L, NDC80, PAPPA2, SFMBT1 and ZPLD1, were identified as sufficient to classify the localized or metastatic outcome. Distributed random forests (DRF), generalized linear models (GLM), gradient boosting machines (GBM) and extreme gradient boosting (XGBoost) models were trained utilizing these 9 genes. Training ROC ranged from 0.92 for DRF to 1 for XGboost. When applied to 47 independent validation samples, the testing sensitivity ranged from 75% for DRF to 94% for GBM; specificity ranged from 84% for DRF to 94% to XGboost and GLM; positive predictive value ranged from 72% for DRF to 86% for GLM; negative predictive value ranged from 88% for GLM to 97% to GBM. The degree of predictive agreement between models ranged from 64% to 91%. Taken together, we have developed a highly sensitive predictive model of the metastatic PNET phenotype that is based on expression of nine genes. Its application as a guide for management should be studied prospectively in patients with newly diagnosed PNETs.
Citation Format: Jacques A. Greenberg, Nikolay A. Ivanov, Yajas Shah, Scott Kulm, Jelani Williams, Catherine G. Tran, Theresa Scognamiglio, Yeon Joo Lee, Caitlin E. Egan, Irene M. Min, Rasa Zarnegar, James Howe, Xavier Keutgen, Thomas J. Fahey, Olivier Elemento, Brendan M. Finnerty. Developing a predictive model for pancreatic neuroendocrine tumor metastatic potential: A multi-institutional analysis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5270.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | - James Howe
- 3University of Iowa Carver College of Medicine, Iowa City, IA
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Petrushenko IK, Ivanov NA, Petrushenko KB. Theoretical Investigation of Carbon Dioxide Adsorption on Li +-Decorated Nanoflakes. Molecules 2021; 26:7688. [PMID: 34946770 PMCID: PMC8706083 DOI: 10.3390/molecules26247688] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 11/22/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 11/18/2022] Open
Abstract
Recently, the capture of carbon dioxide, the primary greenhouse gas, has attracted particular interest from researchers worldwide. In the present work, several theoretical methods have been used to study adsorption of CO2 molecules on Li+-decorated coronene (Li+@coronene). It has been established that Li+ can be strongly anchored on coronene, and then a physical adsorption of CO2 will occur in the vicinity of this cation. Moreover, such a decoration has substantially improved interaction energy (Eint) between CO2 molecules and the adsorbent. One to twelve CO2 molecules per one Li+ have been considered, and their Eint values are in the range from -5.55 to -16.87 kcal/mol. Symmetry-adapted perturbation theory (SAPT0) calculations have shown that, depending on the quantity of adsorbed CO2 molecules, different energy components act as the main reason for attraction. AIMD simulations allow estimating gravimetric densities (GD, wt.%) at various temperatures, and the maximal GDs have been calculated to be 9.3, 6.0, and 4.9% at T = 77, 300, and 400 K, respectively. Besides this, AIMD calculations validate stability of Li+@coronene complexes during simulation time at the maximum CO2 loading. Bader's atoms-in-molecules (QTAIM) and independent gradient model (IGM) techniques have been implemented to unveil the features of interactions between CO2 and Li+@coronene. These methods have proved that there exists a non-covalent bonding between the cation center and CO2. We suppose that findings, derived in this theoretical work, may also benefit the design of novel nanosystems for gas storage and delivery.
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Affiliation(s)
- Igor K. Petrushenko
- Irkutsk National Research Technical University, 83 Lermontov St., 664074 Irkutsk, Russia;
| | - Nikolay A. Ivanov
- Irkutsk National Research Technical University, 83 Lermontov St., 664074 Irkutsk, Russia;
| | - Konstantin B. Petrushenko
- AE Favorsky Irkutsk Institute of Chemistry, Siberian Branch of the Russian Academy of Sciences, 1 Favorsky St., 664033 Irkutsk, Russia;
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5
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Greenberg JA, Thiesmeyer JW, Ullmann TM, Egan CE, Valle Reyes F, Moore MD, Ivanov NA, Laird AM, Finnerty BM, Zarnegar R, Fahey TJ, Beninato T. Association of the Affordable Care Act with access to highest-volume centers for patients with thyroid cancer. Surgery 2021; 171:132-139. [PMID: 34489109 DOI: 10.1016/j.surg.2021.04.059] [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] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/02/2021] [Accepted: 04/20/2021] [Indexed: 11/18/2022]
Abstract
BACKGROUND Disparities exist in access to high-volume surgeons, who have better outcomes after thyroidectomy. The association of the Affordable Care Act's Medicaid expansion with access to high-volume thyroid cancer surgery centers remains unclear. METHODS The National Cancer Database was queried for all adult thyroid cancer patients diagnosed from 2010 to 2016. Hospital quartiles (Q1-4) defined by operative volume were generated. Clinicodemographics and adjusted odds ratios for treatment per quartile were analyzed by insurance status. An adjusted difference-in-differences analysis examined the association between implementation of the Affordable Care Act and changes in payer mix by hospital quartile. RESULTS In total, 241,448 patients were included. Medicaid patients were most commonly treated at Q3-Q4 hospitals (Q3 odds ratios 1.05, P = .020, Q4 1.11, P < .001), whereas uninsured patients were most often treated at Q2-Q4 hospitals (Q2 odds ratios 2.82, Q3 2.34, Q4 2.07, P < .001). After expansion, Medicaid patients had lower odds of surgery at Q3-Q4 compared with Q1 hospitals (odds ratios Q3 0.82, P < .001 Q4 0.85, P = .002) in expansion states, but higher odds of treatment at Q3-Q4 hospitals in nonexpansion states (odds ratios Q3 2.23, Q4 1.86, P < .001). Affordable Care Act implementation was associated with increased proportions of Medicaid patients within each quartile in expansion compared with nonexpansion states (Q1 adjusted difference-in-differences 5.36%, Q2 5.29%, Q3 3.68%, Q4 3.26%, P < .001), and a decrease in uninsured patients treated at Q4 hospitals (adjusted difference-in-differences -1.06%, P = .001). CONCLUSIONS Medicaid expansion was associated with an increased proportion of Medicaid patients undergoing thyroidectomy for thyroid cancer in all quartiles, with increased Medicaid access to high-volume centers in expansion compared with nonexpansion states.
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Affiliation(s)
- Jacques A Greenberg
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/JacquesGreenbe2
| | - Jessica W Thiesmeyer
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/JessicaThiesme1
| | - Timothy M Ullmann
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/TUllmannMD
| | - Caitlin E Egan
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/CaitlinEgan18
| | | | - Maureen D Moore
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/maureenmooremd
| | - Nikolay A Ivanov
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/n_a_ivanov
| | - Amanda M Laird
- Department of Surgery Rutgers-Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ. https://twitter.com/amlaird
| | - Brendan M Finnerty
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/FinnertyMD
| | - Rasa Zarnegar
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/RasaZarnegarMD
| | - Thomas J Fahey
- Department of Surgery, Weill Cornell Medicine, New York, NY. https://twitter.com/tjf3endosurg
| | - Toni Beninato
- Department of Surgery Rutgers-Cancer Institute of New Jersey, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.
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6
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Butler D, Mozsary C, Meydan C, Foox J, Rosiene J, Shaiber A, Danko D, Afshinnekoo E, MacKay M, Sedlazeck FJ, Ivanov NA, Sierra M, Pohle D, Zietz M, Gisladottir U, Ramlall V, Sholle ET, Schenck EJ, Westover CD, Hassan C, Ryon K, Young B, Bhattacharya C, Ng DL, Granados AC, Santos YA, Servellita V, Federman S, Ruggiero P, Fungtammasan A, Chin CS, Pearson NM, Langhorst BW, Tanner NA, Kim Y, Reeves JW, Hether TD, Warren SE, Bailey M, Gawrys J, Meleshko D, Xu D, Couto-Rodriguez M, Nagy-Szakal D, Barrows J, Wells H, O'Hara NB, Rosenfeld JA, Chen Y, Steel PAD, Shemesh AJ, Xiang J, Thierry-Mieg J, Thierry-Mieg D, Iftner A, Bezdan D, Sanchez E, Campion TR, Sipley J, Cong L, Craney A, Velu P, Melnick AM, Shapira S, Hajirasouliha I, Borczuk A, Iftner T, Salvatore M, Loda M, Westblade LF, Cushing M, Wu S, Levy S, Chiu C, Schwartz RE, Tatonetti N, Rennert H, Imielinski M, Mason CE. Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions. Nat Commun 2021; 12:1660. [PMID: 33712587 PMCID: PMC7954844 DOI: 10.1038/s41467-021-21361-7] [Citation(s) in RCA: 92] [Impact Index Per Article: 30.7] [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] [Received: 09/03/2020] [Accepted: 01/25/2021] [Indexed: 02/08/2023] Open
Abstract
In less than nine months, the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) killed over a million people, including >25,000 in New York City (NYC) alone. The COVID-19 pandemic caused by SARS-CoV-2 highlights clinical needs to detect infection, track strain evolution, and identify biomarkers of disease course. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling. We applied these methods to clinical specimens gathered from 669 patients in New York City during the first two months of the outbreak, yielding a broad molecular portrait of the emerging COVID-19 disease. We find significant enrichment of a NYC-distinctive clade of the virus (20C), as well as host responses in interferon, ACE, hematological, and olfaction pathways. In addition, we use 50,821 patient records to find that renin-angiotensin-aldosterone system inhibitors have a protective effect for severe COVID-19 outcomes, unlike similar drugs. Finally, spatial transcriptomic data from COVID-19 patient autopsy tissues reveal distinct ACE2 expression loci, with macrophage and neutrophil infiltration in the lungs. These findings can inform public health and may help develop and drive SARS-CoV-2 diagnostic, prevention, and treatment strategies.
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Affiliation(s)
- Daniel Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Christopher Mozsary
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Joel Rosiene
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Alon Shaiber
- New York Genome Center, New York, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nikolay A Ivanov
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Clinical & Translational Science Center, Weill Cornell Medicine, New York, NY, USA
| | - Maria Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Diana Pohle
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Michael Zietz
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
- Department of Cellular, Molecular Physiology & Biophysics, Columbia University, Columbia, NY, USA
| | - Evan T Sholle
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
| | - Edward J Schenck
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Craig D Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Ciaran Hassan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | - Benjamin Young
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
| | | | - Dianna L Ng
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Andrea C Granados
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Yale A Santos
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Scot Federman
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
| | - Phyllis Ruggiero
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | | | | | | | | | | | | | - Justyna Gawrys
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Dmitry Meleshko
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional Computational Biology & Medicine Program, Weill Cornell Medicine, New York, NY, USA
| | - Dong Xu
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | | | - Dorottya Nagy-Szakal
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | | | | | - Niamh B O'Hara
- Biotia, Inc., New York, NY, USA
- Department of Cell Biology, SUNY Downstate Health Sciences University, New York, NY, USA
| | - Jeffrey A Rosenfeld
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
- Department of Pathology, Robert Wood Johnson Medical School, New York, NJ, USA
| | - Ying Chen
- Rutgers Cancer Institute of New Jersey, New York, NJ, USA
| | - Peter A D Steel
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Amos J Shemesh
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jenny Xiang
- Genomics Resources Core Facility, Weill Cornell Medicine, New York, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA
| | - Angelika Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | | | - Thomas R Campion
- Information Technologies & Services Department, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - John Sipley
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lin Cong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Ari M Melnick
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Sagi Shapira
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA
| | - Iman Hajirasouliha
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Alain Borczuk
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Thomas Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Tuebingen, Germany
| | - Mirella Salvatore
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Lars F Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Charles Chiu
- Department of Laboratory Medicine, University of California, San Francisco, CA, USA
- UCSF-Abbott Viral Diagnostics and Discovery Center, San Francisco, CA, USA
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, CA, USA
| | | | - Nicholas Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, Columbia, NY, USA.
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Marcin Imielinski
- New York Genome Center, New York, NY, USA.
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA.
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY, USA.
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY, USA.
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7
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Butler DJ, Mozsary C, Meydan C, Danko D, Foox J, Rosiene J, Shaiber A, Afshinnekoo E, MacKay M, Sedlazeck FJ, Ivanov NA, Sierra M, Pohle D, Zietz M, Gisladottir U, Ramlall V, Westover CD, Ryon K, Young B, Bhattacharya C, Ruggiero P, Langhorst BW, Tanner N, Gawrys J, Meleshko D, Xu D, Steel PAD, Shemesh AJ, Xiang J, Thierry-Mieg J, Thierry-Mieg D, Schwartz RE, Iftner A, Bezdan D, Sipley J, Cong L, Craney A, Velu P, Melnick AM, Hajirasouliha I, Horner SM, Iftner T, Salvatore M, Loda M, Westblade LF, Cushing M, Levy S, Wu S, Tatonetti N, Imielinski M, Rennert H, Mason CE. Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions. bioRxiv 2020:2020.04.20.048066. [PMID: 32511352 PMCID: PMC7255793 DOI: 10.1101/2020.04.20.048066] [Citation(s) in RCA: 55] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has caused thousands of deaths worldwide, including >18,000 in New York City (NYC) alone. The sudden emergence of this pandemic has highlighted a pressing clinical need for rapid, scalable diagnostics that can detect infection, interrogate strain evolution, and identify novel patient biomarkers. To address these challenges, we designed a fast (30-minute) colorimetric test (LAMP) for SARS-CoV-2 infection from naso/oropharyngeal swabs, plus a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, bacterial, and viral profiling. We applied both technologies across 857 SARS-CoV-2 clinical specimens and 86 NYC subway samples, providing a broad molecular portrait of the COVID-19 NYC outbreak. Our results define new features of SARS-CoV-2 evolution, nominate a novel, NYC-enriched viral subclade, reveal specific host responses in interferon, ACE, hematological, and olfaction pathways, and examine risks associated with use of ACE inhibitors and angiotensin receptor blockers. Together, these findings have immediate applications to SARS-CoV-2 diagnostics, public health, and new therapeutic targets.
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Affiliation(s)
- Daniel J. Butler
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | | | - Cem Meydan
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
| | - David Danko
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA
| | - Jonathan Foox
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
| | - Joel Rosiene
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Alon Shaiber
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Ebrahim Afshinnekoo
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
| | - Matthew MacKay
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Nikolay A. Ivanov
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- Clinical & Translational Science Center, Weill Cornell Medicine, NY, USA
| | - Maria Sierra
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Diana Pohle
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Michael Zietz
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Undina Gisladottir
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Vijendra Ramlall
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
- Department of Cellular, Molecular Physiology & Biophysics, Columbia University, NY, USA
| | - Craig D. Westover
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | - Benjamin Young
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
| | | | - Phyllis Ruggiero
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | | | | | - Justyna Gawrys
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Dmitry Meleshko
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- Tri-Institutional Computational Biol. & Medicine Program, Weill Cornell Medicine, NY, USA
| | - Dong Xu
- Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA
| | | | - Amos J. Shemesh
- Department of Emergency Medicine, Weill Cornell Medicine, NY, USA
| | - Jenny Xiang
- Genomics Resources Core Facility, Weill Cornell Medicine, NY, USA
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Jean Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA
| | - Danielle Thierry-Mieg
- National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, MD, USA
| | | | - Angelika Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Daniela Bezdan
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - John Sipley
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Lin Cong
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Arryn Craney
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Priya Velu
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | | | - Iman Hajirasouliha
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Stacy M. Horner
- Department of Molecular Genetics and Microbiology, Duke University Medical Center, NC, USA
- Department of Medicine, Duke University Medical Center, NC, USA
| | - Thomas Iftner
- Institute of Medical Virology and Epidemiology of Viral Diseases, University Hospital Tuebingen, Germany
| | - Mirella Salvatore
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Massimo Loda
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Lars F. Westblade
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Division of Infectious Diseases, Department of Medicine, Weill Cornell Medicine, NY, USA
| | - Melissa Cushing
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Shawn Levy
- HudsonAlpha Discovery Institute, Huntsville, AL, USA
| | - Shixiu Wu
- Hangzhou Cancer Institute, Hangzhou Cancer Hospital, Hangzhou, China
- Department of Radiation Oncology, Hangzhou Cancer Hospital, Hangzhou, China
| | - Nicholas Tatonetti
- Department of Biomedical Informatics, Department of Systems Biology, Department of Medicine, Institute for Genomic Medicine, Columbia University, NY, USA
| | - Marcin Imielinski
- New York Genome Center, NY, USA
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
- Englander Institute for Precision Medicine and the Meyer Cancer Center, Weill Cornell Medicine, NY, USA
| | - Hanna Rennert
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, NY, USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medicine, NY, USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, NY, USA
- WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, NY, USA
- The Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, NY, USA
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8
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Price AJ, Collado-Torres L, Ivanov NA, Xia W, Burke EE, Shin JH, Tao R, Ma L, Jia Y, Hyde TM, Kleinman JE, Weinberger DR, Jaffe AE. Divergent neuronal DNA methylation patterns across human cortical development reveal critical periods and a unique role of CpH methylation. Genome Biol 2019; 20:196. [PMID: 31554518 PMCID: PMC6761727 DOI: 10.1186/s13059-019-1805-1] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [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: 06/17/2019] [Accepted: 08/28/2019] [Indexed: 01/03/2023] Open
Abstract
Background DNA methylation (DNAm) is a critical regulator of both development and cellular identity and shows unique patterns in neurons. To better characterize maturational changes in DNAm patterns in these cells, we profile the DNAm landscape at single-base resolution across the first two decades of human neocortical development in NeuN+ neurons using whole-genome bisulfite sequencing and compare them to non-neurons (primarily glia) and prenatal homogenate cortex. Results We show that DNAm changes more dramatically during the first 5 years of postnatal life than during the entire remaining period. We further refine global patterns of increasingly divergent neuronal CpG and CpH methylation (mCpG and mCpH) into six developmental trajectories and find that in contrast to genome-wide patterns, neighboring mCpG and mCpH levels within these regions are highly correlated. We integrate paired RNA-seq data and identify putative regulation of hundreds of transcripts and their splicing events exclusively by mCpH levels, independently from mCpG levels, across this period. We finally explore the relationship between DNAm patterns and development of brain-related phenotypes and find enriched heritability for many phenotypes within identified DNAm features. Conclusions By profiling DNAm changes in NeuN-sorted neurons over the span of human cortical development, we identify novel, dynamic regions of DNAm that would be masked in homogenate DNAm data; expand on the relationship between CpG methylation, CpH methylation, and gene expression; and find enrichment particularly for neuropsychiatric diseases in genomic regions with cell type-specific, developmentally dynamic DNAm patterns. Electronic supplementary material The online version of this article (10.1186/s13059-019-1805-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Amanda J Price
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine (JHSOM), Baltimore, MD, 21205, USA
| | - Leonardo Collado-Torres
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA.,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA
| | - Nikolay A Ivanov
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA
| | - Wei Xia
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA
| | - Emily E Burke
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA
| | - Joo Heon Shin
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA
| | - Ran Tao
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA
| | - Liang Ma
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA
| | - Yankai Jia
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA
| | - Thomas M Hyde
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA.,Department of Neurology, JHSOM, Baltimore, MD, USA.,Department of Psychiatry and Behavioral Sciences, JHSOM, Baltimore, MD, USA
| | - Joel E Kleinman
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA.,Department of Psychiatry and Behavioral Sciences, JHSOM, Baltimore, MD, USA
| | - Daniel R Weinberger
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA.,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine (JHSOM), Baltimore, MD, 21205, USA.,Department of Neurology, JHSOM, Baltimore, MD, USA.,Department of Psychiatry and Behavioral Sciences, JHSOM, Baltimore, MD, USA.,Department of Neuroscience, JHSOM, Baltimore, MD, USA
| | - Andrew E Jaffe
- Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 855 N Wolfe St, Ste 300, Baltimore, MD, 21205, USA. .,McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine (JHSOM), Baltimore, MD, 21205, USA. .,Center for Computational Biology, Johns Hopkins University, Baltimore, MD, USA. .,Department of Psychiatry and Behavioral Sciences, JHSOM, Baltimore, MD, USA. .,Department of Neuroscience, JHSOM, Baltimore, MD, USA. .,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health (JHBSPH), 615 N Wolfe St, Baltimore, MD, 21205, USA. .,Department of Biostatistics, JHBSPH, 615 N Wolfe St, Baltimore, MD, 21205, USA.
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9
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Abstract
Over the past two decades, robotic and minimally invasive cardiac surgery has been continuously refined and is currently an alternative to traditional open-heart surgery for some patients. The parallel evolution of imaging modalities has made robotic surgery safer and more efficient. Here, we review the pre- and post-operative use of computed tomography (CT) in minimally invasive and robotic cardiac procedures.
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Affiliation(s)
- Nikolay A Ivanov
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, NY, USA.,Weill Cornell Medical College, New York, NY, USA
| | - Daniel B Green
- Weill Cornell Medical College, New York, NY, USA.,Department of Radiology, Weill Cornell Medicine, New York, NY, USA
| | - T Sloane Guy
- Department of Cardiothoracic Surgery, Weill Cornell Medicine, New York, NY, USA
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10
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Akbarian S, Liu C, Knowles JA, Vaccarino FM, Farnham PJ, Crawford GE, Jaffe AE, Pinto D, Dracheva S, Geschwind DH, Mill J, Nairn AC, Abyzov A, Pochareddy S, Prabhakar S, Weissman S, Sullivan PF, State MW, Weng Z, Peters MA, White KP, Gerstein MB, Amiri A, Armoskus C, Ashley-Koch AE, Bae T, Beckel-Mitchener A, Berman BP, Coetzee GA, Coppola G, Francoeur N, Fromer M, Gao R, Grennan K, Herstein J, Kavanagh DH, Ivanov NA, Jiang Y, Kitchen RR, Kozlenkov A, Kundakovic M, Li M, Li Z, Liu S, Mangravite LM, Mattei E, Markenscoff-Papadimitriou E, Navarro FCP, North N, Omberg L, Panchision D, Parikshak N, Poschmann J, Price AJ, Purcaro M, Reddy TE, Roussos P, Schreiner S, Scuderi S, Sebra R, Shibata M, Shieh AW, Skarica M, Sun W, Swarup V, Thomas A, Tsuji J, van Bakel H, Wang D, Wang Y, Wang K, Werling DM, Willsey AJ, Witt H, Won H, Wong CCY, Wray GA, Wu EY, Xu X, Yao L, Senthil G, Lehner T, Sklar P, Sestan N. The PsychENCODE project. Nat Neurosci 2016; 18:1707-12. [PMID: 26605881 DOI: 10.1038/nn.4156] [Citation(s) in RCA: 272] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
| | | | - Chunyu Liu
- University of Illinois at Chicago, Chicago, Illinois, USA
| | - James A Knowles
- University of Southern California, Los Angeles, California, USA
| | | | - Peggy J Farnham
- University of Southern California, Los Angeles, California, USA
| | | | - Andrew E Jaffe
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
| | - Dalila Pinto
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stella Dracheva
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Jonathan Mill
- King's College London, London, and University of Exeter, Devon, UK
| | | | | | | | | | | | | | | | - Zhiping Weng
- University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | | | | | | | | | - Chris Armoskus
- University of Southern California, Los Angeles, California, USA
| | | | | | | | | | | | | | - Nancy Francoeur
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Menachem Fromer
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Robert Gao
- University of Southern California, Los Angeles, California, USA
| | - Kay Grennan
- University of Illinois at Chicago, Chicago, Illinois, USA
| | | | - David H Kavanagh
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Nikolay A Ivanov
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
| | - Yan Jiang
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Alexey Kozlenkov
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Mingfeng Li
- Yale University, New Haven, Connecticut, USA
| | - Zhen Li
- Yale University, New Haven, Connecticut, USA
| | - Shuang Liu
- Yale University, New Haven, Connecticut, USA
| | | | - Eugenio Mattei
- University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | | | | | - Nicole North
- National Institute of Mental Health, Bethesda, Maryland, USA
| | | | | | | | | | - Amanda J Price
- Lieber Institute for Brain Development, Baltimore, Maryland, USA
| | - Michael Purcaro
- University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | | | - Panos Roussos
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | | | - Robert Sebra
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Annie W Shieh
- University of Illinois at Chicago, Chicago, Illinois, USA
| | | | - Wenjie Sun
- Genome Institute of Singapore, Singapore
| | - Vivek Swarup
- University of California, Los Angeles, California, USA
| | - Amber Thomas
- The University of Chicago, Chicago, Illinois, USA
| | - Junko Tsuji
- University of Massachusetts Medical School, Worcester, Massachusetts, USA
| | - Harm van Bakel
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Yongjun Wang
- University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kai Wang
- University of Southern California, Los Angeles, California, USA
| | | | | | - Heather Witt
- University of Southern California, Los Angeles, California, USA
| | - Hyejung Won
- University of California, Los Angeles, California, USA
| | - Chloe C Y Wong
- King's College London, London, and University of Exeter, Devon, UK
| | | | - Emily Y Wu
- University of California, Los Angeles, California, USA
| | - Xuming Xu
- Yale University, New Haven, Connecticut, USA
| | - Lijing Yao
- University of Southern California, Los Angeles, California, USA
| | - Geetha Senthil
- National Institute of Mental Health, Bethesda, Maryland, USA
| | - Thomas Lehner
- National Institute of Mental Health, Bethesda, Maryland, USA
| | - Pamela Sklar
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
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11
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Byval'tsev VA, Panasenkov SY, Belykh EG, Ivanov NA, Tsyganov PY, Nikiforov SB, Sorokovikov VA, Grigor'ev EG, Kolesnikov SI. Nanostructure changes in the intervertebral discs after experimental laser irradiation. Bull Exp Biol Med 2015; 158:504-7. [PMID: 25708335 DOI: 10.1007/s10517-015-2795-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2014] [Indexed: 10/24/2022]
Abstract
Laser-induced changes in the intervertebral discs were studied by the method of atomic force microscopy. Alteration of the proximal caudal intervertebral discs was modeled in rats: puncture and exposure to diode laser (2, 3, or 5 W) in constant or pulse regimens or only puncture (control). Nanostructure of disc surface was estimated by surface skewness, root mean square and average roughness, and coefficient of kurtosis. Maximum positive effect and signs of regenerative changes in the surface microstructure of the intervertebral discs were found after exposure to laser (2-3 W) in constant or pulse regimens.
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Affiliation(s)
- V A Byval'tsev
- Research Center of Reconstructive and Restorative Surgery, Siberian Division of the Russian Academy of Medical Sciences, Irkutsk, Russia,
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12
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Danilovtseva EN, Verkhozina ON, Zelinskiy SN, Ivanov NA, Tsiganov PY, Basharina TN, Annenkov VV. New fluorescent derivatives of oligopropylamines. ARKIVOC 2013. [DOI: 10.3998/ark.5550190.0014.320] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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13
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Chebotareva ED, Shishkina VV, Siniuta BF, Dzhuzha DA, Cheren'ko SM, Sheptukha AI, Gorobeĭko MB, Ivanov NA. [Analysis of efficacy of complex treatment of patients with differentiated forms of the thyroid gland cancer using distant radiation therapy]. Klin Khir 2002:25-8. [PMID: 12378932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/26/2023]
Abstract
Retrospective analysis of efficacy of complex treatment, including surgical intervention, radioiodine therapy (RITH), suppressive hormonotherapy of differentiated forms of the thyroid gland cancer (DFTHGC) was done in 281 patients with positive effect of postoperative distant radiation therapy (PDRTH) application as a component of the treatment. Positive effect of therapy was estimated basing on the dynamic scintigraphy data with 131I and determination of thyroglobulin level in blood serum. The PDRTH conduction does not improve prognosis of the disease, does not lower the tumor metastasizing frequency to regional lymph nodes and remote organs and does not replace RITH. To achieve positive result in 12.8% of patients with PDRTH more than two courses of RITH were performed, enhancing so the total radiation dosage on the organism. To provide protracted nonrecurrent survival of patients with DFTHGC the radical approach is necessary, envisaging performance of thyroidectomy, the timely conduction of RITH with subsequent suppressive therapy using L-thyroxin.
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14
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Chebotareva ED, Dzhuzha DA, Shishkina VV, Siniuta BF, Cheren'ko SM, Gorobeĭko MB, Palamarchuk VA, Sheptukha AI, Ivanov NA, Tratsevskiĭ VV. [Treatment and monitoring of patients with differentiated cancer of thyroid gland]. Klin Khir 2000:39-41. [PMID: 11247457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/19/2023]
Abstract
There were examined 200 patients aged from 19 to 77 years with differentiated cancer of the thyroid gland (TG). The combined treatment, which included performance of operation, radioiodine therapy and hormonotherapy, was conducted to all the patients. Total and maximum subtotal TG resection was performed in 90% patients, nonradical operation--in 10%, 23% patients were reoperated. Postoperative monitoring according to chart was done with application of dynamic scintigraphy and determination of the thyroglobuline level in the blood serum. The TG residual tissue (RT) was revealed in 61% patients and in 39%--the cancer metastases in the lymphatic nodes. RT of TG was eliminated in 86.8% patients after the first radioiodine therapy course conduction in middle remedial activity (2.79 +/- 0.11) GBq, the metastases devitalization--in 67.9% in middle remedial activity (4.07 +/- 0.12) GBq.
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15
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Ivanov NA. [Treatment of a patient with multiple fractures of long bones]. Ortop Travmatol Protez 1991:46-7. [PMID: 1813836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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16
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Ivanov NA, Kholodok GN, Kulish ID. [Comparative analysis of antibiotic sensitivity of Streptococcus pneumoniae strains isolated from patients and carriers]. Antibiot Khimioter 1990; 13:719-24. [PMID: 2383142 DOI: 10.1016/s1473-3099(13)70107-5] [Citation(s) in RCA: 104] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The data on antibiotic sensitivity of 38 strains of S. pneumoniae isolated from children and 46 strains isolated from carriers are presented. The isolates from the carriers had significantly higher sensitivity to benzylpenicillin, ampicillin, methicillin, oxacillin, cefazolin, erythromycin, oleandomycin and lincomycin. Resistance to gentamicin was more frequent in the strains isolated from the carriers. Among the strains of S. pneumoniae isolated from the patients and carriers representatives of serovar K19 were more frequent. There were no statistically reliable difference in them by sensitivity to benzylpenicillin, ampicillin, cefazolin, lincomycin and rifampicin. Still, the isolates from the carriers were much more sensitive to methicillin, oxacillin, oleandomycin and erythromycin.
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17
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Ivanov NA, Nesterenko LI, Fedotova NA, Kol'tsov IP, Kirillova NP. [Our experience in enhancing the information content of lectures and exercises in microbiology based on an assessment of the assimilation of knowledge obtained in other departments]. Zh Mikrobiol Epidemiol Immunobiol 1989:121-2. [PMID: 2618209] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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18
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Ivanov NA, Danilova EG, Doroshenko VS. [Characteristics of staphylococci isolated from newborn infants]. Zh Mikrobiol Epidemiol Immunobiol 1985:19-23. [PMID: 3993278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The microflora of the skin and the nasal mucosa was studied in 14 healthy newborns, 3 newborns with purulent infections and a nurse working in a neonatal ward. To make this study, washings were obtained with the use of 0.1% Triton X-100 solution. The determination of the number of microorganisms, the percentage of staphylococci, the percentage of lecithinase-positive staphylococci and the number of colonies with antagonistic properties revealed that these characteristics differed according to the state of health of the newborns and the time elapsed after their birth, and that changes in the number of antagonistically active bacteria occurred in parallel with changes in the total number of bacteria. Among S. aureus strains isolated from the subjects covered by the survey strains belonging to phagovar 80, as well as untyped strains, and among S. epidermidis strains those belonging to biovars I and II occurred most frequently. Strains belonging to the same biovar or phagovar differed in their plasmid markers.
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Tsyganenko IT, Ivanov NA. [Combination of foreign body of the peritoneal cavity and phlegmonous appendicitis]. Klin Khir (1962) 1984:54-5. [PMID: 6727179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
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20
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Ivanov NA, Danilova EG. [Quantitative study of the microflora of healthy skin]. Vestn Dermatol Venerol 1984:59-61. [PMID: 6372296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
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21
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Ivanov NA, Danilova EG, Deriagin NI. [Production of penicillinase by staphylococcal strains of different origins]. Antibiotiki 1983; 28:823-826. [PMID: 6606392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
A total of 319 strains of S. aureus and 729 strains of S. epidermidis belonging to different biovars isolated from the skin and nasal mucosa of 349 persons representing 8 independent groups were tested. On the whole production of penicillinase was more often observed in the strains of S. aureus than in the strains of S. epidermidis. Within the first species this property was more often detected in the strains of biovar I as compared to the other biovars. However, the frequency of the penicillinase-producing strains within S. aureus and the biovars of S. epidermidis markedly varied.
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Ivanov NA, Danilova EG. [Characteristics of staphylococci isolated from normal human skin]. Vestn Dermatol Venerol 1983:68-71. [PMID: 6608194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
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23
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Ivanov NA. [Bacteriocinogeny of staphylococci]. Zh Mikrobiol Epidemiol Immunobiol 1983:3-7. [PMID: 6415977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
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24
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Ivanov NA, Danilova EG, Medvedkova NA, Pekhov AP. [Transformation of Bacillus subtilis by crude lysates containing staphylococcal plasmid DNA]. Biull Eksp Biol Med 1983; 96:78-80. [PMID: 6411147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
Crude lysates from staphylococcal strains, containing DNA, were capable of transforming Bacillus subtilis at a rate of 1.68 X 10(-10) - 20.6 X 10(-10) depending on the marker according to which the transformers were selected. In a new host, plasmids showed the same behavior pattern as in the staphylococcus but their spontaneous loss was in all the cases recorded significantly more often.
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Ivanov NA, Danilova EG, Medvedkova NA. [Growth indices of Bacillus subtilis clones transformed by staphylococcal plasmid DNA]. Zh Mikrobiol Epidemiol Immunobiol 1983:38-41. [PMID: 6414199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
B. subtilis strain 168 was transformed by means of staphylococcal plasmids responsible for resistance to penicillins and levomycetin, as well as for resistance to cadmium ions and for bacteriocinogenicity linked with resistance to cadmium ions. In the new host these plasmids affected the duration of the lag phase and the time of generation. The production of staphylococcal bacteriocin in B. subtilis was accompanied by the lysis of the cells.
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Ivanov NA, Medvedkova NA, Pekhov AP. [Transfer of the bacteriocinogenicity plasmid in mixed staphylococcal populations]. Zh Mikrobiol Epidemiol Immunobiol 1983:17-21. [PMID: 6845927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
The capacity of the bactericinogenicity plasmid in S. epidermidis strain NI 17 to be transferred to nonbactericinogenic staphylococcal strains in mixed populations was studied. 3 out of 22 studied S. aureus strains and 3 out of 24 studied S. epidermidis strains were found to be capable of receiving the plasmid. No recombinants could be obtained with these recipients, which was seemingly due to the presence of the restriction and modification systems in plasmid DNA. The experiments, where the variants of S. epidermidis strain NI 17, having no plasmid, but resistant to antibiotics as the result of mutation, were used as recipients, revealed that the initial strain contained at least 2 plasmids, one of them controlling resistance to cadmium ions and the other responsible for the synthesis of bactericin.
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Cheren'ko MP, Boĭkov IP, Ivanov NA. [Treatment of lactation mastitis]. Klin Khir (1962) 1983:1-3. [PMID: 6834699] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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Ivanov NA, Medvedkova NA, Pekhov AP. [Plasmid complex in the cells of bacteriocinogenic Staphylococcus strain]. Biull Eksp Biol Med 1982; 94:83-4. [PMID: 7171829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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29
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Ivanov NA, Fedotova SE, Saevich IA. [Transfer of plasmid bacteriocinogenicity during the growth process of a population of staphylococci]. Zh Mikrobiol Epidemiol Immunobiol 1980:22-5. [PMID: 7435019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Staphylococcus epidermidis strain No. 17 containing the bacteriocinogenicity plasmid and incapable of the spontaneous loss of this plasmid was studied. When the contact between the dividing cells was broken by shaking, the cells without the plasmid were shown to appear in the population starting from the 30th minute of cultivation. In all cases the loss of the plasmid due to the action of acridine orange at 37 degrees C and 44 degrees C, as well as in cultivation at 44 degrees C, occurred more frequently when the growing population was shaken than in the absence of shaking. This suggests the possibility of transferring the plasmid controlling bacteriocinogenicity in the process of the growth of staphylococcal population.
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Ivanov NA. [Side effects and complications of the local corticosteroid therapy of dermatoses]. Vestn Dermatol Venerol 1978:27-31. [PMID: 706729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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Ivanov NA. [Genetic structure of Staphylococcus epidermidis strain No. 17 possessing penicillinase and bacteriocinogenic activity]. Antibiotiki 1978; 23:902-5. [PMID: 309305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The studies on the genetic structure of Staphylococcus epidermidis, strain 17 showed that this strain possessed a factor of bactericinogenicity of the one type, which was an extrachromosomal element not bound with penicillinase activity. The loss of the bacteriocinogenicity factor spontaneously or under the effect of acridine orange at a temperature of 37 degrees C was not observed. Passages of the strain at a temperature of 44 degrees C for 5 days and acridine orange proved to be the most effective eliminating factors. The loss of the bacteriocinogenicity plasmid did not result in changing any biochemical properties of the strain but was accompanied by a loss of the immunity to bacteriocin of the initial strain. The study of the growth regularities of the initial strain and its variant deprived of the bacteriocinogenicity plasmid showed that multiplication of the cells in the presence of the plasmid practically started without the latent period.
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Ivanov NA. [Mechanism of staphylococcin formation]. Zh Mikrobiol Epidemiol Immunobiol 1978:118-20. [PMID: 696090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The author studied the optic density and the viable cell count in 2 strains of bacteriocinogenic staphylococci and their variants in which the bacteriocinogenicity factor was eliminated. Latent phase was prolonged in strains devoid of bacteriocinogenic factor; it was practically absent in bacteriocinogenic cultures. Bacteriocin production began on the 60th minute and this was accompanied by the death of cells and their lysosomes. With further culture growth bacteriocin formed in jerks and this was accompanied by the death of cells and their lysosomes.
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Ivanov NA. [General tenets of the local use of corticosteroids in dermatoses]. Vestn Dermatol Venerol 1978:40-2. [PMID: 352009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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Bogdanova EK, Kozulin EA, Ivanov NA, Filatova NS, Bloshchinskaia TN. [Nonspecific immunologic reactivity of the body and the incidence of skin diseases in workers of the eastern zone of the Baikal-Amur railroad]. Vestn Dermatol Venerol 1978:42-5. [PMID: 636587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
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35
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Ivanov NA. [Genetic nature of the bacteriocinogenicity factor of Staphylococcus epidermidis strain No. 259]. Zh Mikrobiol Epidemiol Immunobiol 1977:43-5. [PMID: 919921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Genetic nature of the bacteriogenicity factor of the Staphylococcus epidermidis No. 259 strain was studied by acting upon the strain with ultraviolet irradiation, acridine orange at a temperature of 37 and 44 degrees C, and cultivation of the strain at a temperature of 44 degrees C for 24 and 96 hours. The most effective elimination of the bacteriocinogenicity factor was reached with the action of acridine orange at 44 degrees C and the strain passage at 44 degrees C for 96 hours. A study of 212 subcultures which lost the bacteriocinogenicity factor under the effect of various factors demonstrated that they failed to differ by properties from the initial strain and retained the bacteriocin resistance of the initial strain. A conclusion was drawn that the bacteriocinogenicity factor was an extrachomosomic agent, and was not associated with any other strain properties.
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Shershevskaia RS, Ivanov NA, Voskresenskaia OA. [Bacteriocinogeny in bacteria of the genus Bordetella]. Zh Mikrobiol Epidemiol Immunobiol 1973; 50:95-7. [PMID: 4361153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Livkina EG, Fedotova NA, Ivanov NA. [Bacteriocinogenic properties of skin staphylococci and outlook for their use in epidemiologic studies]. Zh Mikrobiol Epidemiol Immunobiol 1971; 48:91-4. [PMID: 5099102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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38
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Ivanov NA. [The properties, classification and use of staphylococcins in typing staphylococci]. Biull Eksp Biol Med 1970; 69:82-4. [PMID: 4917199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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39
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Ivanov NA. [Skin diseases among personnel of the pre-revolutionary navy]. Vestn Dermatol Venerol 1968; 42:93-7. [PMID: 4906798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
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