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Hashemi H, Khabazkhoob M, Azizi E, Iribarren R, Lanca C, Grzybowski A, Rozema JJ, Emamian MH, Fotouhi A. Longitudinal changes in crystalline lens thickness and power in children aged 6-12 years old. Eye (Lond) 2024; 38:1283-1289. [PMID: 38102470 PMCID: PMC11076459 DOI: 10.1038/s41433-023-02882-5] [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: 04/14/2023] [Revised: 11/21/2023] [Accepted: 11/29/2023] [Indexed: 12/17/2023] Open
Abstract
OBJECTIVES To determine the three-year changes in crystalline lens power (LP) and thickness (LT) in children and their associated factors. METHODS Schoolchildren aged 6-12 years living in Shahroud, northeast Iran were examined in 2015 and 2018. The Bennett formula was used to calculate LP. Multiple generalized estimating equations (GEE) analysis was used for data analysis. RESULTS Among the 8089 examined eyes, the mean LP in Phase 1 and 2, and the three-year change were 21.61 ± 1.47D, 21.00 ± 1.42D, and -0.61 ± 0.52D, respectively. The GEE model showed that negative shifts in LP were less pronounced with increasing age (β = 0.176; p < 0.001), and were also less noticeable in hyperopes compared to emmetropes (β = 0.120; p < 0.001). The changes in LP decreased when outdoor activity increased among urban residents (β = 0.013; p = 0.039), while it increased in rural area (β = -0.020; p = 0.047). Mean three-year change in LT was 0.002 ± 0.13 mm. Female sex and aging by one year increased the LT by 0.022 mm (P < 0.001). However, LT decreased in 6-8-year-olds, while it increased in 10-12-year-old children, both in a linear fashion. The change in LT was less in myopes than in emmetropes (β = -0.018, P-value = 0.010). CONCLUSION LP decreases after three years in 6 to 12-year-old children. LT increases slightly after three years in 6 to 12-year-old children. The changes in LP and LT were associated with the refractive errors, place of residence, age and gender and outdoor activity time.
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Affiliation(s)
- Hassan Hashemi
- Noor Research Centre for Ophthalmic Epidemiology, Noor Eye Hospital, Tehran, Iran
| | - Mehdi Khabazkhoob
- Department of Medical Surgical Nursing, School of Nursing and Midwifery, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Azizi
- Department of Optometry and Vision Sciences, University of Melbourne, Melbourne, Australia
| | | | - Carla Lanca
- Escola Superior de Tecnologia da Saúde de Lisboa (ESTeSL), Instituto Politécnico de Lisboa, Lisboa, Portugal
- Comprehensive Health Research Center (CHRC), Escola Nacional de Saúde Pública, Universidade Nova de Lisboa, Lisboa, Portugal
| | - Andrzej Grzybowski
- Department of Ophthalmology, University of Warmia and Mazury, Olsztyn, Poland Żołnierska 18, 10- 561, Olsztyn, Poland
- Institute for Research in Ophthalmology, Foundation for Ophthalmology Development, Poznan, Poland
| | - Jos J Rozema
- Visual Optics Lab Antwerp (VOLANTIS), Faculty of Medicine and Health Sciences, Antwerp University, Wilrijk, Belgium
- Department of Ophthalmology, Antwerp University Hospital, Edegem, Belgium
| | - Mohammad Hassan Emamian
- Ophthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran.
| | - Akbar Fotouhi
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Akbari MR, Alghurab A, Khorrami-Nejad M, Azizi E, Masoomian B. Sensory exotropia versus sensory esotropia: A comparative clinical features study. J Optom 2024; 17:100516. [PMID: 38663271 PMCID: PMC11064616 DOI: 10.1016/j.optom.2024.100516] [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: 07/30/2023] [Revised: 02/15/2024] [Accepted: 03/08/2024] [Indexed: 05/05/2024]
Abstract
PURPOSE This study aimed to compare the preoperative clinical features of patients with sensory esotropia (ET) and sensory exotropia (XT). METHODS In a retrospective study, the medical records of 13,252 patients who underwent strabismus surgery were reviewed at the Farabi Eye Hospital, Iran, from 2012 to March 2022. There were 1017 patients with sensory horizontal strabismus whose, in their worse eye, had corrected distance visual acuity (CDVA) equal to or <20/160 tested with the Snellen chart. RESULTS The mean age of patients was 29.0 ± 12.4 years [574 (56.4%) males and 443 (43.6%) females]. Sensory XT and ET were observed in 717 (70.5%) and 300 (29.5%) patients, respectively (P<.001). The mean CDVA in the strabismic and non-strabismic eyes was 1.40 ± 0.75 and 0.05 ± 0.13, respectively (P<.001). Also, the CDVA in the strabismic eyes was significantly worse in the patients with sensory XT than in the patients with sensory ET (P<.001). Sphere and spherical equivalent (SE) components were more hyperopic in both eyes of patients with sensory ET than sensory XT (P<.001). In sensory ET group, the mean horizontal deviation at far and near was significantly higher than the sensory XT group (both P<.001). The prevalence of moderate and severe amblyopia among all patients with sensory strabismus was 274 (26.9%) and 727 (71.5%), respectively (P<.001). There were 398 (39.1%) patients who needed more than one surgery. CONCLUSION The frequency of sensory XT was about 2.5 times more than the sensory ET. Most patients with sensory ET were operated at a younger age, had better CDVA, more hyperopic spherical and SE, and higher angle of deviation compared with patients with sensory XT. The chance of reoperation in patients with sensory strabismus was about 40%.
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Affiliation(s)
- Mohammad Reza Akbari
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Alaa Alghurab
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Masoud Khorrami-Nejad
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran; Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran.
| | - Elham Azizi
- Mashhad University of Medical Sciences, Mashhad, Iran
| | - Babak Masoomian
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Giglio RM, Hou N, Wyatt A, Hong J, Shi L, Vaikunthan M, Fuchs H, Nima JP, Malinowski SW, Ligon KL, McFaline-Figueroa JR, Yosef N, Azizi E, McFaline-Figueroa JL. A heterogeneous pharmaco-transcriptomic landscape induced by targeting a single oncogenic kinase. bioRxiv 2024:2024.04.08.587960. [PMID: 38645018 PMCID: PMC11030430 DOI: 10.1101/2024.04.08.587960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Over-activation of the epidermal growth factor receptor (EGFR) is a hallmark of glioblastoma. However, EGFR-targeted therapies have led to minimal clinical response. While delivery of EGFR inhibitors (EGFRis) to the brain constitutes a major challenge, how additional drug-specific features alter efficacy remains poorly understood. We apply highly multiplex single-cell chemical genomics to define the molecular response of glioblastoma to EGFRis. Using a deep generative framework, we identify shared and drug-specific transcriptional programs that group EGFRis into distinct molecular classes. We identify programs that differ by the chemical properties of EGFRis, including induction of adaptive transcription and modulation of immunogenic gene expression. Finally, we demonstrate that pro-immunogenic expression changes associated with a subset of tyrphostin family EGFRis increase the ability of T-cells to target glioblastoma cells. One Sentence Summary Deep chemical genomic profiling reveals heterogeneity in response to the targeting of EGFR via myriad chemical means.
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He S, Jin Y, Nazaret A, Shi L, Chen X, Rampersaud S, Dhillon BS, Valdez I, Friend LE, Fan JL, Park CY, Mintz RL, Lao YH, Carrera D, Fang KW, Mehdi K, Rohde M, McFaline-Figueroa JL, Blei D, Leong KW, Rudensky AY, Plitas G, Azizi E. Starfysh integrates spatial transcriptomic and histologic data to reveal heterogeneous tumor-immune hubs. Nat Biotechnol 2024:10.1038/s41587-024-02173-8. [PMID: 38514799 DOI: 10.1038/s41587-024-02173-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 02/14/2024] [Indexed: 03/23/2024]
Abstract
Spatially resolved gene expression profiling provides insight into tissue organization and cell-cell crosstalk; however, sequencing-based spatial transcriptomics (ST) lacks single-cell resolution. Current ST analysis methods require single-cell RNA sequencing data as a reference for rigorous interpretation of cell states, mostly do not use associated histology images and are not capable of inferring shared neighborhoods across multiple tissues. Here we present Starfysh, a computational toolbox using a deep generative model that incorporates archetypal analysis and any known cell type markers to characterize known or new tissue-specific cell states without a single-cell reference. Starfysh improves the characterization of spatial dynamics in complex tissues using histology images and enables the comparison of niches as spatial hubs across tissues. Integrative analysis of primary estrogen receptor (ER)-positive breast cancer, triple-negative breast cancer (TNBC) and metaplastic breast cancer (MBC) tissues led to the identification of spatial hubs with patient- and disease-specific cell type compositions and revealed metabolic reprogramming shaping immunosuppressive hubs in aggressive MBC.
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Affiliation(s)
- Siyu He
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Yinuo Jin
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Achille Nazaret
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
- Department of Computer Science, Columbia University, New York, NY, USA
| | - Lingting Shi
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Xueer Chen
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Sham Rampersaud
- Pharmaceutical Sciences and Pharmacogenomics Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Bahawar S Dhillon
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Izabella Valdez
- The Graduate School of Biomedical Sciences at the Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lauren E Friend
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Joy Linyue Fan
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Cameron Y Park
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
| | - Rachel L Mintz
- Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA
| | - Yeh-Hsing Lao
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Department of Pharmaceutical Sciences, University at Buffalo, the State University of New York, Buffalo, NY, USA
| | - David Carrera
- Department of Computer Science, Columbia University, New York, NY, USA
| | - Kaylee W Fang
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Department of Computer Science, Columbia University, New York, NY, USA
| | - Kaleem Mehdi
- Department of Computer Science, Fordham University, New York, NY, USA
| | | | - José L McFaline-Figueroa
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - David Blei
- Department of Computer Science, Columbia University, New York, NY, USA
- Department of Statistics, Columbia University, New York, NY, USA
| | - Kam W Leong
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Alexander Y Rudensky
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Ludwig Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - George Plitas
- Immunology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Howard Hughes Medical Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Ludwig Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Surgery, Breast Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, New York, NY, USA.
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.
- Department of Computer Science, Columbia University, New York, NY, USA.
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
- Data Science Institute, Columbia University, New York, NY, USA.
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Maurer K, Park CY, Mani S, Borji M, Penter L, Jin Y, Zhang JY, Shin C, Brenner JR, Southard J, Krishna S, Lu W, Lyu H, Abbondanza D, Mangum C, Olsen LR, Neuberg DS, Bachireddy P, Farhi SL, Li S, Livak KJ, Ritz J, Soiffer RJ, Wu CJ, Azizi E. Coordinated Immune Cell Networks in the Bone Marrow Microenvironment Define the Graft versus Leukemia Response with Adoptive Cellular Therapy. bioRxiv 2024:2024.02.09.579677. [PMID: 38405900 PMCID: PMC10888840 DOI: 10.1101/2024.02.09.579677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Abstract
Understanding how intra-tumoral immune populations coordinate to generate anti-tumor responses following therapy can guide precise treatment prioritization. We performed systematic dissection of an established adoptive cellular therapy, donor lymphocyte infusion (DLI), by analyzing 348,905 single-cell transcriptomes from 74 longitudinal bone-marrow samples of 25 patients with relapsed myeloid leukemia; a subset was evaluated by protein-based spatial analysis. In acute myelogenous leukemia (AML) responders, diverse immune cell types within the bone-marrow microenvironment (BME) were predicted to interact with a clonally expanded population of ZNF683 + GZMB + CD8+ cytotoxic T lymphocytes (CTLs) which demonstrated in vitro specificity for autologous leukemia. This population, originating predominantly from the DLI product, expanded concurrently with NK and B cells. AML nonresponder BME revealed a paucity of crosstalk and elevated TIGIT expression in CD8+ CTLs. Our study highlights recipient BME differences as a key determinant of effective anti-leukemia response and opens new opportunities to modulate cell-based leukemia-directed therapy.
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He S, Zhu Y, Chauhan S, Tavakol DN, Lee JH, Berris RBL, Xu C, Lee JH, Lee C, Cai S, McElroy S, Vunjak-Novakovic G, Tomer R, Azizi E, Xu B, Lao YH, Leong KW. Human vascular organoids with a mosaic AKT1 mutation recapitulate Proteus syndrome. bioRxiv 2024:2024.01.26.577324. [PMID: 38328122 PMCID: PMC10849631 DOI: 10.1101/2024.01.26.577324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Vascular malformation, a key clinical phenotype of Proteus syndrome, lacks effective models for pathophysiological study and drug development due to limited patient sample access. To bridge this gap, we built a human vascular organoid model replicating Proteus syndrome's vasculature. Using CRISPR/Cas9 genome editing and gene overexpression, we created induced pluripotent stem cells (iPSCs) embodying the Proteus syndrome-specific AKTE17K point mutation for organoid generation. Our findings revealed that AKT overactivation in these organoids resulted in smaller sizes yet increased vascular connectivity, although with less stable connections. This could be due to the significant vasculogenesis induced by AKT overactivation. This phenomenon likely stems from boosted vasculogenesis triggered by AKT overactivation, leading to increased vascular sprouting. Additionally, a notable increase in dysfunctional PDGFRβ+ mural cells, impaired in matrix secretion, was observed in these AKT-overactivated organoids. The application of AKT inhibitors (ARQ092, AZD5363, or GDC0068) reversed the vascular malformations; the inhibitors' effectiveness was directly linked to reduced connectivity in the organoids. In summary, our study introduces an innovative in vitro model combining organoid technology and gene editing to explore vascular pathophysiology in Proteus syndrome. This model not only simulates Proteus syndrome vasculature but also holds potential for mimicking vasculatures of other genetically driven diseases. It represents an advance in drug development for rare diseases, historically plagued by slow progress.
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Affiliation(s)
- Siyu He
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY10027, USA
| | - Yuefei Zhu
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Shradha Chauhan
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | | | - Jong Ha Lee
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | | | - Cong Xu
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Jounghyun H. Lee
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
- Center for Healthcare Innovation, Stevens Institute of Technology, Hoboken, NJ 07030, USA
| | - Caleb Lee
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Sarah Cai
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Shannon McElroy
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
| | - Gordana Vunjak-Novakovic
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA
- Department of Medicine, Columbia University, New York, NY 10032, USA
| | - Raju Tomer
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
- Department of Biological Sciences, Columbia University, New York, NY 10027, USA
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY10027, USA
- Department of Computer Science, Columbia University, New York, NY 10027, USA
- Data Science Institute, Columbia University, New York, NY 10027, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA
| | - Bin Xu
- Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, USA
| | - Yeh-Hsing Lao
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
- Department of Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo NY 14214, USA
| | - Kam W. Leong
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
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Khorrami-Nejad M, Alghurab A, Akbari MR, Azizi E, Masoomian B. Sensory Strabismus; A Literature Review. J Binocul Vis Ocul Motil 2024; 74:32-40. [PMID: 38421248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Persistent unilateral or bilateral visual deprivation at any age, particularly in children, can compromise sensory fusion and result in a type of strabismus known as sensory or secondary strabismus. There are several pathologies that can induce visual impairment, such as severe anisometropia, congenital unilateral cataract, corneal opacity, retinal diseases, and optic nerve anomalies. Sensory strabismus may be horizontal or vertical or a combination of them; however, most reports indicate the development of horizontal deviation as sensory strabismus. Regardless of the direction of the sensory strabismus, early diagnosis and management of the underlying pathology are important before strabismus treatment. The primary treatment approach for patients with sensory strabismus is surgery to correct ocular misalignment and straighten the eyes. This can help to improve the patients' symptoms and diminish the negative psychosocial impacts. In this article, we review the underlying etiologies and background pathologies associated with sensory strabismus. In addition, we investigate the determinant factors of the direction of sensory strabismus and its management strategies.
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Affiliation(s)
- Masoud Khorrami-Nejad
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran
| | - Alaa Alghurab
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran
| | - Mohamad Reza Akbari
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran
| | - Elham Azizi
- Department of Optometry and Vision Sciences, University of Melbourne, Melbourne
| | - Babak Masoomian
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran
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Khorrami-Nejad M, Azizi E, Tarik FF, Akbari MR. Brown syndrome: a literature review. Ther Adv Ophthalmol 2024; 16:25158414231222118. [PMID: 38406627 PMCID: PMC10893837 DOI: 10.1177/25158414231222118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/04/2023] [Indexed: 02/27/2024] Open
Abstract
The current data on various aspects of Brown syndrome are limited and sporadic. This review provides a coherent and comprehensive review of basic features, etiology, classification, differential diagnosis, and different management strategies of patients with Brown syndrome. In this topical review, PubMed, Scopus, and Google Scholar search engines were searched for papers, published between 1950 and January 2023 based on the keywords of this article. The related articles were collected, summarized, categorized, assessed, concluded, and presented. Brown syndrome is identified by restricted passive and active elevation of the eye in adduction. The condition is divided into congenital and acquired causes. The clinical features result from a restricted motion of the superior oblique tendon sheath through the trochlea while trying to look up in adduction. The newest explanation of the underlying pathophysiology has been explained as the presence of a fibrotic strand in the superior oblique muscle tendon with variable insertion sites which creates various elevation deficits seen in Brown syndrome. The most common clinical features include the presence of an abnormal head posture, V-pattern strabismus, and hypotropia in the primary position. Management of Brown syndrome includes watchful observation, surgical, and non-surgical procedures. Some cases might resolve spontaneously without any intervention; however, some acquired cases might require systemic and/or intra-trochlear steroid administration to treat the underlying causes. Surgical procedures such as superior oblique tenectomy and using a silicon tendon expander are indicated in the presence of hypotropia and significant abnormal head posture in the primary position.
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Affiliation(s)
- Masoud Khorrami-Nejad
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Elham Azizi
- Number 6/10, Ferdowsi Street, Bojnourd, Iran
| | - Farah Fareed Tarik
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohamad Reza Akbari
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Zakariaee SS, Naderi N, Azizi E. Association of Vascular Endothelial Growth Factor Levels with Risk of Alzheimer's Disease: A Systematic Review and Meta-Analysis. J Prev Alzheimers Dis 2024; 11:721-729. [PMID: 38706288 DOI: 10.14283/jpad.2024.18] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/07/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is a progressive neurodegenerative illness that leads to impairment of cognitive functions and memory loss. Even though there is a plethora of research reporting the abnormal regulation of VEGF expression in AD pathogenesis, whether the CSF and serum VEGF are increased in AD is an open question yet. In this study, the association of CSF and serum VEGF concentrations with the risk of Alzheimer's disease was investigated using systematic review and meta-analysis. METHODS A systematic literature search was carried out using online specialized biomedical databases of Web of Science, Pubmed, Scopus, Embase, and Google Scholar until Feb 2023 without restriction to the beginning time. The meta-analysis was performed using the random-effects model and only case-control publications describing VEGF concentrations in Alzheimer's patients were considered for calculating the pooled effect size. RESULTS In the systematic literature search, 6 and 13 studies met the inclusion criteria to evaluate CSF and serum VEGF concentrations of Alzheimer's patients, respectively. This meta-analysis retrieved a total number of 2380 Alzheimer's patients and 5368 healthy controls. Under the random-effects model in the meta-analysis, the pooled SMD for CSF and serum VEGF concentrations of Alzheimer's patients were -0.13 (95%CI,-0.42-0.16) and 0.23 (95%CI,-0.27-0.73), respectively. Results of meta-regression analysis showed that the quality scores of papers and female sex ratios of participants did not affect the associations of VEGF concentrations with the risk of Alzheimer's disease. However, the age average of patients significantly affects the associations of CSF VEGF concentrations with the risk of Alzheimer's disease (P=0.051). There was a statistically significant subgroup effect for the disease severity of Alzheimer's patients which modifies the associations of serum VEGF concentrations with the risk of Alzheimer's disease (P<0.01) and subgroup analysis shows that study location modifies the associations of CSF and serum VEGF concentrations with the risk of Alzheimer's disease (P<0.01). CONCLUSION The results show that the serum VEGF concentrations increased for Alzheimer's patients in accordance with the increased expression of VEGF and the VEGF levels of Alzheimer's patients decreased by increasing their disease severities. Therefore, in addition to detecting AD in the earliest stages of the disease, serum VEGF could be a promising biomarker to follow up on the disease and evaluate the clinical course of the disease.
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Affiliation(s)
- S S Zakariaee
- Seyed Salman Zakariaee, Department of Medical Physics, Faculty of Paramedical Sciences, Ilam University of Medical Sciences, Ilam, Iran. Email address: , Tel: +988432227122, Cell: +989188783551
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Gu J, Iyer A, Wesley B, Taglialatela A, Leuzzi G, Hangai S, Decker A, Gu R, Klickstein N, Shuai Y, Jankovic K, Parker-Burns L, Jin Y, Zhang JY, Hong J, Niu S, Chou J, Landau DA, Azizi E, Chan EM, Ciccia A, Gaublomme JT. CRISPRmap: Sequencing-free optical pooled screens mapping multi-omic phenotypes in cells and tissue. bioRxiv 2023:2023.12.26.572587. [PMID: 38234835 PMCID: PMC10793456 DOI: 10.1101/2023.12.26.572587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Pooled genetic screens are powerful tools to study gene function in a high-throughput manner. Typically, sequencing-based screens require cell lysis, which limits the examination of critical phenotypes such as cell morphology, protein subcellular localization, and cell-cell/tissue interactions. In contrast, emerging optical pooled screening methods enable the investigation of these spatial phenotypes in response to targeted CRISPR perturbations. In this study, we report a multi-omic optical pooled CRISPR screening method, which we have named CRISPRmap. Our method combines a novel in situ CRISPR guide identifying barcode readout approach with concurrent multiplexed immunofluorescence and in situ RNA detection. CRISPRmap barcodes are detected and read out through combinatorial hybridization of DNA oligos, enhancing barcode detection efficiency, while reducing both dependency on third party proprietary sequencing reagents and assay cost. Notably, we conducted a multi-omic base-editing screen in a breast cancer cell line on core DNA damage repair genes involved in the homologous recombination and Fanconi anemia pathways investigating how nucleotide variants in those genes influence DNA damage signaling and cell cycle regulation following treatment with ionizing radiation or DNA damaging agents commonly used for cancer therapy. Approximately a million cells were profiled with our multi-omic approach, providing a comprehensive phenotypic assessment of the functional consequences of the studied variants. CRISPRmap enabled us to pinpoint likely-pathogenic patient-derived mutations that were previously classified as variants of unknown clinical significance. Furthermore, our approach effectively distinguished barcodes of a pooled library in tumor tissue, and we coupled it with cell-type and molecular phenotyping by cyclic immunofluorescence. Multi-omic spatial analysis of how CRISPR-perturbed cells respond to various environmental cues in the tissue context offers the potential to significantly expand our understanding of tissue biology in both health and disease.
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Affiliation(s)
- Jiacheng Gu
- Department of Biological Sciences, Columbia University, NY, USA
| | - Abhishek Iyer
- Department of Biological Sciences, Columbia University, NY, USA
| | - Ben Wesley
- Department of Biological Sciences, Columbia University, NY, USA
| | - Angelo Taglialatela
- Department of Genetics and Development, Columbia University Irving Medical Center, NY, USA
| | - Giuseppe Leuzzi
- Department of Genetics and Development, Columbia University Irving Medical Center, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA
- Institute for Cancer Genetics, Columbia University Irving Medical Center, NY, USA
| | - Sho Hangai
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA
| | | | - Ruoyu Gu
- Department of Biological Sciences, Columbia University, NY, USA
| | | | - Yuanlong Shuai
- Department of Biological Sciences, Columbia University, NY, USA
| | - Kristina Jankovic
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA
| | - Lucy Parker-Burns
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA
| | - Yinuo Jin
- Department of Biomedical Engineering, Columbia University, NY, USA
| | - Jia Yi Zhang
- Department of Biomedical Engineering, Columbia University, NY, USA
| | - Justin Hong
- Department of Computer Science, Columbia University, NY, USA
| | - Steve Niu
- Weill Cornell Medicine, NY, USA
- Genentech Research and Early Development, CA, USA
| | - Jacqueline Chou
- Department of Biological Sciences, Columbia University, NY, USA
- Weill Cornell Medicine, NY, USA
| | - Dan A. Landau
- Weill Cornell Medicine, NY, USA
- New York Genome Center, NY, USA
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, NY, USA
- Department of Computer Science, Columbia University, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, NY, USA
| | - Edmond M. Chan
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA
- New York Genome Center, NY, USA
- Department of Medicine, Division of Hematology/Oncology, Columbia University Irving Medical Center, NY, USA
| | - Alberto Ciccia
- Department of Genetics and Development, Columbia University Irving Medical Center, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA
- Institute for Cancer Genetics, Columbia University Irving Medical Center, NY, USA
| | - Jellert T. Gaublomme
- Department of Biological Sciences, Columbia University, NY, USA
- Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, NY, USA
- New York Genome Center, NY, USA
- Irving Institute for Cancer Dynamics, Columbia University, NY, USA
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11
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Liu Y, Jin Y, Azizi E, Blumberg AJ. Cellstitch: 3D cellular anisotropic image segmentation via optimal transport. BMC Bioinformatics 2023; 24:480. [PMID: 38102537 PMCID: PMC10724925 DOI: 10.1186/s12859-023-05608-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Spatial mapping of transcriptional states provides valuable biological insights into cellular functions and interactions in the context of the tissue. Accurate 3D cell segmentation is a critical step in the analysis of this data towards understanding diseases and normal development in situ. Current approaches designed to automate 3D segmentation include stitching masks along one dimension, training a 3D neural network architecture from scratch, and reconstructing a 3D volume from 2D segmentations on all dimensions. However, the applicability of existing methods is hampered by inaccurate segmentations along the non-stitching dimensions, the lack of high-quality diverse 3D training data, and inhomogeneity of image resolution along orthogonal directions due to acquisition constraints; as a result, they have not been widely used in practice. METHODS To address these challenges, we formulate the problem of finding cell correspondence across layers with a novel optimal transport (OT) approach. We propose CellStitch, a flexible pipeline that segments cells from 3D images without requiring large amounts of 3D training data. We further extend our method to interpolate internal slices from highly anisotropic cell images to recover isotropic cell morphology. RESULTS We evaluated the performance of CellStitch through eight 3D plant microscopic datasets with diverse anisotropic levels and cell shapes. CellStitch substantially outperforms the state-of-the art methods on anisotropic images, and achieves comparable segmentation quality against competing methods in isotropic setting. We benchmarked and reported 3D segmentation results of all the methods with instance-level precision, recall and average precision (AP) metrics. CONCLUSIONS The proposed OT-based 3D segmentation pipeline outperformed the existing state-of-the-art methods on different datasets with nonzero anisotropy, providing high fidelity recovery of 3D cell morphology from microscopic images.
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Affiliation(s)
- Yining Liu
- Department of Computer Science, Columbia University, New York, USA
- Irving Institute for Cancer Dynamics, New York, USA
| | - Yinuo Jin
- Department of Biomedical Engineering, Columbia University, New York, USA
- Irving Institute for Cancer Dynamics, New York, USA
| | - Elham Azizi
- Department of Computer Science, Columbia University, New York, USA.
- Department of Biomedical Engineering, Columbia University, New York, USA.
- Data Science Institute, Columbia University, New York, USA.
- Irving Institute for Cancer Dynamics, New York, USA.
| | - Andrew J Blumberg
- Department of Computer Science, Columbia University, New York, USA.
- Department of Mathematics, Columbia University, New York, USA.
- Irving Institute for Cancer Dynamics, New York, USA.
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12
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Akbari MR, Alghurab A, Azizi E, Khorrami-Nejad M. Basic acquired nonaccommodative esotropia patients managed with surgery; a study of 2102 patients. Strabismus 2023; 31:281-289. [PMID: 37982308 DOI: 10.1080/09273972.2023.2283109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2023]
Abstract
INTRODUCTION Several studies investigated preoperative clinical features of patients with basic-acquired nonaccommodative esotropia (BANAET); however, their sample sizes were small, and they did not compare the clinical features among cases that needed different surgery times. The main purpose of this study is to compare the preoperative clinical features of patients with BANAET managed with one surgery with patients who underwent two or more strabismus surgery over 10 years. METHODS This historical cohort study was performed on the hospital records of 13,252 Iranian strabismic patients who underwent surgery at Farabi eye hospital, Tehran, Iran, from 2012 to September 2022. Of those, 2102 cases with BANAET were selected as the sample size. Data collected included sex, age at the time of first surgery, corrected distance visual acuity (CDVA), refractive error, presence of amblyopia, angle of deviation, and times of surgery. RESULTS The mean age was 18.9 ± 15.6 [1200 (57.1%) males and 902 (42.9%) females] and the median age was 14 years. In 1599 (76.1%) patients, esotropia was managed with one surgery; however, 342 (16.3%) cases were managed with two surgeries and 161 (7.6%) patients underwent three or more surgeries. The mean angle of horizontal deviation at distance and near in patients managed with two and ≥3 surgeries was significantly higher than in cases managed with one surgery (P < .001). Amblyopia was observed in 289 (18.1%) patients who were managed with one surgery, 69 (20.2%) patients with two surgeries and 43 (26.7%) patients with three or more surgeries (P < .001). Patients with BANAET managed successfully with only one surgery were younger, had better CDVA, lower astigmatism and less horizontal angle of deviation at distance and near than those who underwent two or more surgeries (all P < .001). DISCUSSION The higher astigmatism, lower CDVA, greater angle of horizontal deviation, and higher frequency of amblyopia were found in the preoperative examinations of BANAET patients managed with two or more surgeries compared with cases managed with only one surgery.
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Affiliation(s)
- Mohamad Reza Akbari
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran
| | - Alaa Alghurab
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran
| | - Elham Azizi
- Department of Optometry and Vision Sciences, University of Melbourne, Melbourne
| | - Masoud Khorrami-Nejad
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran
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13
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Park C, Mani S, Beltran-Velez N, Maurer K, Gohil S, Li S, Huang T, Knowles DA, Wu CJ, Azizi E. DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data. bioRxiv 2023:2023.11.14.566956. [PMID: 38014338 PMCID: PMC10680748 DOI: 10.1101/2023.11.14.566956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Characterizing cell-cell communication and tracking its variability over time is essential for understanding the coordination of biological processes mediating normal development, progression of disease, or responses to perturbations such as therapies. Existing tools lack the ability to capture time-dependent intercellular interactions, such as those influenced by therapy, and primarily rely on existing databases compiled from limited contexts. We present DIISCO, a Bayesian framework for characterizing the temporal dynamics of cellular interactions using single-cell RNA-sequencing data from multiple time points. Our method uses structured Gaussian process regression to unveil time-resolved interactions among diverse cell types according to their co-evolution and incorporates prior knowledge of receptor-ligand complexes. We show the interpretability of DIISCO in simulated data and new data collected from CAR-T cells co-cultured with lymphoma cells, demonstrating its potential to uncover dynamic cell-cell crosstalk. Availability DIISCO is publicly accessible at https://github.com/azizilab/DIISCO_public . All data will be deposited to GEO upon publication.
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14
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Nazaret A, Fan JL, Lavallée VP, Cornish AE, Kiseliovas V, Masilionis I, Chun J, Bowman RL, Eisman SE, Wang J, Shi L, Levine RL, Mazutis L, Blei D, Pe'er D, Azizi E. Deep generative model deciphers derailed trajectories in acute myeloid leukemia. bioRxiv 2023:2023.11.11.566719. [PMID: 38014231 PMCID: PMC10680623 DOI: 10.1101/2023.11.11.566719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Single-cell genomics has the potential to map cell states and their dynamics in an unbiased way in response to perturbations like disease. However, elucidating the cell-state transitions from healthy to disease requires analyzing data from perturbed samples jointly with unperturbed reference samples. Existing methods for integrating and jointly visualizing single-cell datasets from distinct contexts tend to remove key biological differences or do not correctly harmonize shared mechanisms. We present Decipher, a model that combines variational autoencoders with deep exponential families to reconstruct derailed trajectories ( https://github.com/azizilab/decipher ). Decipher jointly represents normal and perturbed single-cell RNA-seq datasets, revealing shared and disrupted dynamics. It further introduces a novel approach to visualize data, without the need for methods such as UMAP or TSNE. We demonstrate Decipher on data from acute myeloid leukemia patient bone marrow specimens, showing that it successfully characterizes the divergence from normal hematopoiesis and identifies transcriptional programs that become disrupted in each patient when they acquire NPM1 driver mutations.
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15
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Schwaner MJ, Mayfield DL, Azizi E, Daley MA. Linking in vivo muscle dynamics to in situ force-length and force-velocity reveals that guinea fowl lateral gastrocnemius operates at shorter than optimal lengths. bioRxiv 2023:2023.10.11.561922. [PMID: 37905058 PMCID: PMC10614737 DOI: 10.1101/2023.10.11.561922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/02/2023]
Abstract
Force-length (F-L) and force-velocity (F-V) properties characterize skeletal muscle's intrinsic properties under controlled conditions, and it is thought that these properties can inform and predict in vivo muscle function. Here, we map dynamic in vivo operating range and mechanical function during walking and running, to the measured in situ F-L and F-V characteristics of guinea fowl (Numida meleagris) lateral gastrocnemius (LG), a primary ankle extensor. We use in vivo patterns of muscle tendon force, fascicle length, and activation to test the hypothesis that muscle fascicles operate at optimal lengths and velocities to maximize force or power production during walking and running. Our findings only partly support our hypothesis: in vivo LG velocities are consistent with optimizing power during work production, and economy of force at higher loads. However, LG does not operate at lengths on the force plateau (±5% Fmax) during force production. LG length was near L0 at the time of EMG onset but shortened rapidly such that force development during stance occurred almost entirely on the ascending limb of the F-L curve, at shorter than optimal lengths. These data suggest that muscle fascicles shorten across optimal lengths in late swing, to optimize the potential for rapid force development near the swing-stance transition. This may provide resistance against unexpected perturbations that require rapid force development at foot contact. We also found evidence of passive force rise (in absence of EMG activity) in late swing, at lengths where passive force is zero in situ, suggesting that dynamic history dependent and viscoelastic effects may contribute to in vivo force development. Direct comparison of in vivo work loops and physiological operating ranges to traditional measures of F-L and F-V properties suggests the need for new approaches to characterize dynamic muscle properties in controlled conditions that more closely resemble in vivo dynamics.
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Affiliation(s)
- M J Schwaner
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA United States
| | - D L Mayfield
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA United States
- Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, CA, United States
| | - E Azizi
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA United States
| | - M A Daley
- Department of Ecology and Evolutionary Biology, University of California, Irvine, CA United States
- Center for Integrative Movement Sciences, University of California, Irvine, CA, United States
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16
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Tavakol DN, Nash TR, Kim Y, He S, Fleischer S, Graney PL, Brown JA, Liberman M, Tamargo M, Harken A, Ferrando AA, Amundson S, Garty G, Azizi E, Leong KW, Brenner DJ, Vunjak-Novakovic G. Modeling and countering the effects of cosmic radiation using bioengineered human tissues. Biomaterials 2023; 301:122267. [PMID: 37633022 PMCID: PMC10528250 DOI: 10.1016/j.biomaterials.2023.122267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/28/2023]
Abstract
Cosmic radiation is the most serious risk that will be encountered during the planned missions to the Moon and Mars. There is a compelling need to understand the effects, safety thresholds, and mechanisms of radiation damage in human tissues, in order to develop measures for radiation protection during extended space travel. As animal models fail to recapitulate the molecular changes in astronauts, engineered human tissues and "organs-on-chips" are valuable tools for studying effects of radiation in vitro. We have developed a bioengineered tissue platform for studying radiation damage in individualized settings. To demonstrate its utility, we determined the effects of radiation using engineered models of two human tissues known to be radiosensitive: engineered cardiac tissues (eCT, a target of chronic radiation damage) and engineered bone marrow (eBM, a target of acute radiation damage). We report the effects of high-dose neutrons, a proxy for simulated galactic cosmic rays, on the expression of key genes implicated in tissue responses to ionizing radiation, phenotypic and functional changes in both tissues, and proof-of-principle application of radioprotective agents. We further determined the extent of inflammatory, oxidative stress, and matrix remodeling gene expression changes, and found that these changes were associated with an early hypertrophic phenotype in eCT and myeloid skewing in eBM. We propose that individualized models of human tissues have potential to provide insights into the effects and mechanisms of radiation during deep-space missions and allow testing of radioprotective measures.
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Affiliation(s)
| | - Trevor R Nash
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Youngbin Kim
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Siyu He
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Sharon Fleischer
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Pamela L Graney
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Jessie A Brown
- Institute for Cancer Genetics, Columbia University, New York, NY 10032, USA
| | - Martin Liberman
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Manuel Tamargo
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Andrew Harken
- Center for Radiological Research, Columbia University, New York, NY 10032, USA
| | - Adolfo A Ferrando
- Institute for Cancer Genetics, Columbia University, New York, NY 10032, USA
| | - Sally Amundson
- Center for Radiological Research, Columbia University, New York, NY 10032, USA
| | - Guy Garty
- Center for Radiological Research, Columbia University, New York, NY 10032, USA
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - Kam W Leong
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA
| | - David J Brenner
- Center for Radiological Research, Columbia University, New York, NY 10032, USA
| | - Gordana Vunjak-Novakovic
- Department of Biomedical Engineering, Columbia University, New York, NY 10032, USA; Irving Comprehensive Cancer Center, Columbia University, New York, NY 10032, USA; Department of Medicine, Columbia University, New York, NY 10032, USA.
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17
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Khorrami-Nejad M, Akbari MR, Azizi E, Fareed Tarik F, Yousefi R, Masoomian B. Clinical features and refractive profile of Brown syndrome. Clin Exp Optom 2023:1-5. [PMID: 37759378 DOI: 10.1080/08164622.2023.2256323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
CLINICAL SIGNIFICANCE Understanding the refractive profile, amblyopia prevalence, binocular status, and head position in patients with Brown syndrome help clinicians become more familiar with this syndrome. BACKGROUND Brown syndrome is identified as an active and passive restricted elevation of the eye in adduction. There is little information on clinical features, including refractive status, amblyopia, abnormal head posture (AHP), and types of deviation in these patients. METHODS This study retrospectively evaluated records of 100 Brown syndrome patients from 2015 to 2022 at Farabi Eye Hospital, Iran. RESULTS The mean age was 6.99 ± 6.33 years, including 48 (48%) males. A congenital source was found in 74 (74%) and 96 (96%) patients had unilateral involvement. The mean CDVA for the affected and non-affected eyes were 0.05 ± 0.11 and 0.03 ± 0.06 logMAR, respectively (P = 0.31). In unilateral cases, hyperopia, myopia, and emmetropia were observed in 55 (57.29%), 2 (2.08%), and 39 (40.63%) affected eyes, respectively. The most common type of deviation was pure hypotropia, which was found in 53 (53%) cases, followed by 'combined exotropia and hypotropia' observed in 26 (26%) patients. The mean angle of hypotropia and horizontal deviation in the primary position at distance was 12.10 ± 8.50 and 8 ± 13.20 prism dioptre, respectively. A V-pattern was found in 76 (76%) patients. Amblyopia was observed in 13 (21.67%) of 60 cooperative patients, and AHP was noticed in 66 (66%) patients, in which "combined chin up and contralateral face turn" was the most common type. CONCLUSION About 75% of cases were congenital, 50% had pure hypotropia, 75% showed V-pattern, 20% had amblyopia, and AHP was observed in 67% of patients. The remarkable prevalence of amblyopia alongside the high occurrence of AHP should alert clinicians to carefully assess patients with Brown syndrome for sensory fusion and amblyopia.
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Affiliation(s)
- Masoud Khorrami-Nejad
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohamad Reza Akbari
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Elham Azizi
- Department of Optometry and Vision Sciences, University of Melbourne, Melbourne, Australia
| | - Farah Fareed Tarik
- Optometry Department, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Yousefi
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Babak Masoomian
- Translational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
- Ocular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Philadelphia, PA, USA
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18
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Bachireddy P, Azizi E, Burdziak C, Nguyen VN, Ennis CS, Maurer K, Park CY, Choo ZN, Li S, Gohil SH, Ruthen NG, Ge Z, Keskin DB, Cieri N, Livak KJ, Kim HT, Neuberg DS, Soiffer RJ, Ritz J, Alyea EP, Peer D, Wu CJ. Mapping the evolution of T cell states during response and resistance to adoptive cellular therapy. Cell Rep 2023; 42:113011. [PMID: 37556329 PMCID: PMC10618917 DOI: 10.1016/j.celrep.2023.113011] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2023] Open
Affiliation(s)
| | - Elham Azizi
- Correspondence: (P.B.), (E.A.), (D.P.), (C.J.W.)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Dana Peer
- Correspondence: (P.B.), (E.A.), (D.P.), (C.J.W.)
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19
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Azizi E, Nikoo MR, Mostafazadeh R, Hazbavi Z. Flood vulnerability analysis using different aggregation frameworks across watersheds of Ardabil province, northwestern Iran. International Journal of Disaster Risk Reduction 2023; 91:103680. [DOI: 10.1016/j.ijdrr.2023.103680] [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: 10/31/2023]
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20
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Azizi E, Mofarahe ZS, Naji M. MicroRNAs, small regulatory elements with significant effects on human implantation: a review. J Assist Reprod Genet 2023; 40:697-717. [PMID: 36723761 PMCID: PMC10224887 DOI: 10.1007/s10815-023-02735-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 01/23/2023] [Indexed: 02/02/2023] Open
Abstract
Embryo implantation is a critical process for achieving a successful pregnancy and live birth. The proper implantation must have a synchronized interaction between blastocyst and a receptive endometrium. Many genes are involved in the modulation of precise molecular events during implantation. MicroRNAs (miRNAs) have been extensively reported as gene regulatory molecules on post-transcriptional levels involved in various biological processes such as gametogenesis, embryogenesis, and the quality of sperm, oocyte, and embryos. A plethora of evidence has demonstrated critical roles for miRNAs in regulating genes involved in the implantation process; hence, dysregulation of miRNAs could be associated with significant impairments in implantation, such as recurrent implantation failure. In addition to the indispensable role of miRNAs in the intracellular control of gene expression, they can also be secreted into extracellular fluid and circulation. Therefore, miRNAs in body fluids and blood may be exploited as non-invasive diagnostic biomarkers for different pathological and physiological conditions. Recently, several studies have focused on the discovery of miRNAs function in the implantation process by appraising miRNAs and their target genes in human embryos, endometrial tissue, and cell culture models. Moreover, it was revealed that there could be a significant association between endometrial receptivity or implantation status and the expression of miRNAs in human body fluids, reinforcing their role as non-invasive biomarkers. In the current work, we reviewed the studies concerning the role of intracellular and extracellular miRNAs in human implantation and the influence of their dysregulation on implantation disorders.
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Affiliation(s)
- Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Shams Mofarahe
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Naji
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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21
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Azizi E, Prabhakaran S, Brorson JR. Abstract 91: Early Stroke Recurrence Is Not Reduced By Early Statin Initiation In The Point Trial Population. Stroke 2023. [DOI: 10.1161/str.54.suppl_1.91] [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: 02/05/2023]
Abstract
Objective:
To discern effects of early statin treatment on early stroke recurrence in the POINT trial.
Background:
Benefits of statin therapy in reducing risk of ischemic stroke over the long-term are well-established, but the immediate effects of statin therapy on early stroke recurrence after an initial ischemic event are less clear.
Design/Methods:
In secondary analysis of the data of the Platelet Oriented Inhibition in New TIA and Minor Ischemic Stroke (POINT) trial, we evaluated the effects of statins on early stroke recurrence within 7 days of randomization using Cox proportional hazard regression analysis. We separately compared the effects in subgroups of subjects on and not on statins prior to the index event.
Results:
In the POINT trial, most recurrences of ischemic stroke were early, with 175 occurring within 7 days of trial entry, and only 105 occurring over the remainder of the 90 day trial. Overall, 39% were on statin treatment at time of enrollment which increased to 79% by 7 days post-index event. In Cox proportional hazard analysis for stroke recurrence over the 7 day period after index stroke or TIA, statin administration showed no significant effect in subjects not on statin at baseline (Adjusted p=0.34). In contrast, statin use prior to enrollment was associated with decreased hazard of early stroke recurrence (Adjusted H.R. 0.31, p=0.001).
Conclusion:
In the POINT trial population of patients with minor ischemic stroke or TIA, prior treatment with statins was associated with decreased risk of early stroke recurrence within 7 days following index stroke or TIA. There was no effect of initiating statin treatment in reducing risk of early stroke recurrence.
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Affiliation(s)
- Elham Azizi
- Neurology, UNIVERSITY OF CHICAGO, Chicago, IL
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22
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Hyun NP, Olberding JP, De A, Divi S, Liang X, Thomas E, St Pierre R, Steinhardt E, Jorge J, Longo SJ, Cox S, Mendoza E, Sutton GP, Azizi E, Crosby AJ, Bergbreiter S, Wood RJ, Patek SN. Spring and latch dynamics can act as control pathways in ultrafast systems. Bioinspir Biomim 2023; 18:026002. [PMID: 36595244 DOI: 10.1088/1748-3190/acaa7c] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Ultrafast movements propelled by springs and released by latches are thought limited to energetic adjustments prior to movement, and seemingly cannot adjust once movement begins. Even so, across the tree of life, ultrafast organisms navigate dynamic environments and generate a range of movements, suggesting unrecognized capabilities for control. We develop a framework of control pathways leveraging the non-linear dynamics of spring-propelled, latch-released systems. We analytically model spring dynamics and develop reduced-parameter models of latch dynamics to quantify how they can be tuned internally or through changing external environments. Using Lagrangian mechanics, we test feedforward and feedback control implementation via spring and latch dynamics. We establish through empirically-informed modeling that ultrafast movement can be controllably varied during latch release and spring propulsion. A deeper understanding of the interconnection between multiple control pathways, and the tunability of each control pathway, in ultrafast biomechanical systems presented here has the potential to expand the capabilities of synthetic ultra-fast systems and provides a new framework to understand the behaviors of fast organisms subject to perturbations and environmental non-idealities.
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Affiliation(s)
- N P Hyun
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States of America
| | - J P Olberding
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA 92697, United States of America
| | - A De
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States of America
| | - S Divi
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States of America
| | - X Liang
- Polymer Science and Engineering Department, University of Massachusetts Amherst, Amherst, MA 01003, United States of America
| | - E Thomas
- Polymer Science and Engineering Department, University of Massachusetts Amherst, Amherst, MA 01003, United States of America
| | - R St Pierre
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States of America
| | - E Steinhardt
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States of America
| | - J Jorge
- Biology Department, Duke University, Durham, NC 27708, United States of America
| | - S J Longo
- Biology Department, Duke University, Durham, NC 27708, United States of America
| | - S Cox
- Biology Department, Duke University, Durham, NC 27708, United States of America
| | - E Mendoza
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA 92697, United States of America
| | - G P Sutton
- School of Life Sciences, University of Lincoln, Lincoln, United Kingdom
| | - E Azizi
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA 92697, United States of America
| | - A J Crosby
- Polymer Science and Engineering Department, University of Massachusetts Amherst, Amherst, MA 01003, United States of America
| | - S Bergbreiter
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States of America
| | - R J Wood
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States of America
| | - S N Patek
- Biology Department, Duke University, Durham, NC 27708, United States of America
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23
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Wang Y, Fan JL, Melms JC, Amin AD, Georgis Y, Barrera I, Ho P, Tagore S, Abril-Rodríguez G, He S, Jin Y, Biermann J, Hofree M, Caprio L, Berhe S, Khan SA, Henick BS, Ribas A, Macosko EZ, Chen F, Taylor AM, Schwartz GK, Carvajal RD, Azizi E, Izar B. Multimodal single-cell and whole-genome sequencing of small, frozen clinical specimens. Nat Genet 2023; 55:19-25. [PMID: 36624340 PMCID: PMC10155259 DOI: 10.1038/s41588-022-01268-9] [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: 12/22/2021] [Accepted: 11/11/2022] [Indexed: 01/10/2023]
Abstract
Single-cell genomics enables dissection of tumor heterogeneity and molecular underpinnings of drug response at an unprecedented resolution1-11. However, broad clinical application of these methods remains challenging, due to several practical and preanalytical challenges that are incompatible with typical clinical care workflows, namely the need for relatively large, fresh tissue inputs. In the present study, we show that multimodal, single-nucleus (sn)RNA/T cell receptor (TCR) sequencing, spatial transcriptomics and whole-genome sequencing (WGS) are feasible from small, frozen tissues that approximate routinely collected clinical specimens (for example, core needle biopsies). Compared with data from sample-matched fresh tissue, we find a similar quality in the biological outputs of snRNA/TCR-seq data, while reducing artifactual signals and compositional biases introduced by fresh tissue processing. Profiling sequentially collected melanoma samples from a patient treated in the KEYNOTE-001 trial12, we resolved cellular, genomic, spatial and clonotype dynamics that represent molecular patterns of heterogeneous intralesional evolution during anti-programmed cell death protein 1 therapy. To demonstrate applicability to banked biospecimens of rare diseases13, we generated a single-cell atlas of uveal melanoma liver metastasis with matched WGS data. These results show that single-cell genomics from archival, clinical specimens is feasible and provides a framework for translating these methods more broadly to the clinical arena.
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Affiliation(s)
- Yiping Wang
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA
| | - Joy Linyue Fan
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Johannes C Melms
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Amit Dipak Amin
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Yohanna Georgis
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | | | - Patricia Ho
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Somnath Tagore
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Gabriel Abril-Rodríguez
- Department of Medicine, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Siyu He
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Yinuo Jin
- Department of Biomedical Engineering, Columbia University, New York, NY, USA
| | - Jana Biermann
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA
| | - Matan Hofree
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Lindsay Caprio
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Simon Berhe
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA
| | - Shaheer A Khan
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Brian S Henick
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Antoni Ribas
- Department of Medicine, Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Evan Z Macosko
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Fei Chen
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, USA
| | - Alison M Taylor
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Gary K Schwartz
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Richard D Carvajal
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, New York, NY, USA.
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA.
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
- Department of Systems Biology, Program for Mathematical Genomics, Columbia University, New York, NY, USA.
- Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY, USA.
- Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA.
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USA.
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24
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Azizi E, Mostafazadeh R, Hazbavi Z, Esmali Ouri A, Mirzaie S, Huang G, Qian X. Spatial distribution of flood vulnerability index in Ardabil province, Iran. Stoch Environ Res Risk Assess 2022; 36:4355-4375. [DOI: 10.1007/s00477-022-02264-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 06/09/2022] [Indexed: 10/31/2023]
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25
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Biermann J, Melms JC, Amin AD, Wang Y, Caprio LA, Karz A, Tagore S, Barrera I, Ibarra-Arellano MA, Andreatta M, Fullerton BT, Gretarsson KH, Sahu V, Mangipudy VS, Nguyen TTT, Nair A, Rogava M, Ho P, Koch PD, Banu M, Humala N, Mahajan A, Walsh ZH, Shah SB, Vaccaro DH, Caldwell B, Mu M, Wünnemann F, Chazotte M, Berhe S, Luoma AM, Driver J, Ingham M, Khan SA, Rapisuwon S, Slingluff CL, Eigentler T, Röcken M, Carvajal R, Atkins MB, Davies MA, Agustinus A, Bakhoum SF, Azizi E, Siegelin M, Lu C, Carmona SJ, Hibshoosh H, Ribas A, Canoll P, Bruce JN, Bi WL, Agrawal P, Schapiro D, Hernando E, Macosko EZ, Chen F, Schwartz GK, Izar B. Dissecting the treatment-naive ecosystem of human melanoma brain metastasis. Cell 2022; 185:2591-2608.e30. [PMID: 35803246 PMCID: PMC9677434 DOI: 10.1016/j.cell.2022.06.007] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [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: 10/01/2021] [Revised: 04/08/2022] [Accepted: 06/06/2022] [Indexed: 10/17/2022]
Abstract
Melanoma brain metastasis (MBM) frequently occurs in patients with advanced melanoma; yet, our understanding of the underlying salient biology is rudimentary. Here, we performed single-cell/nucleus RNA-seq in 22 treatment-naive MBMs and 10 extracranial melanoma metastases (ECMs) and matched spatial single-cell transcriptomics and T cell receptor (TCR)-seq. Cancer cells from MBM were more chromosomally unstable, adopted a neuronal-like cell state, and enriched for spatially variably expressed metabolic pathways. Key observations were validated in independent patient cohorts, patient-derived MBM/ECM xenograft models, RNA/ATAC-seq, proteomics, and multiplexed imaging. Integrated spatial analyses revealed distinct geography of putative cancer immune evasion and evidence for more abundant intra-tumoral B to plasma cell differentiation in lymphoid aggregates in MBM. MBM harbored larger fractions of monocyte-derived macrophages and dysfunctional TOX+CD8+ T cells with distinct expression of immune checkpoints. This work provides comprehensive insights into MBM biology and serves as a foundational resource for further discovery and therapeutic exploration.
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Affiliation(s)
- Jana Biermann
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA
| | - Johannes C Melms
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Amit Dipak Amin
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Yiping Wang
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA
| | - Lindsay A Caprio
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Alcida Karz
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Somnath Tagore
- Department of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Irving Barrera
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA
| | - Miguel A Ibarra-Arellano
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Massimo Andreatta
- Department of Oncology UNIL CHUV, Lausanne Branch, Ludwig Institute for Cancer Research Lausanne, CHUV and University of Lausanne, Lausanne, 1066 Épalinges, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Benjamin T Fullerton
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Kristjan H Gretarsson
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Varun Sahu
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Vaibhav S Mangipudy
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Trang T T Nguyen
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Ajay Nair
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Meri Rogava
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Patricia Ho
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Peter D Koch
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Matei Banu
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Nelson Humala
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Aayushi Mahajan
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Zachary H Walsh
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Shivem B Shah
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Daniel H Vaccaro
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Blake Caldwell
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Michael Mu
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA
| | - Florian Wünnemann
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Margot Chazotte
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany
| | - Simon Berhe
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Adrienne M Luoma
- Department of Cancer Immunology and Virology, Dana-Farber Cancer Center, Boston, MA 02215, USA
| | - Joseph Driver
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Matthew Ingham
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Shaheer A Khan
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Suthee Rapisuwon
- Division of Hematology/Oncology, Medstar Washington Cancer Institute, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Craig L Slingluff
- Department of Surgery, University of Virginia, Charlottesville, VA, USA
| | - Thomas Eigentler
- Department of Dermatology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany; Charité-Universitätsmedizin Berlin, Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Dermatology, Venereology and Allergology, 10117, Berlin, Germany
| | - Martin Röcken
- Department of Dermatology, Eberhard Karls University Tübingen, 72076 Tübingen, Germany
| | - Richard Carvajal
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Michael B Atkins
- Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC 20007, USA
| | - Michael A Davies
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Albert Agustinus
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pharmacology, Weill Cornell Graduate School, New York, NY 10065, USA
| | - Samuel F Bakhoum
- Department of Melanoma Medical Oncology, MD Anderson Cancer Center, Houston, TX 77030, USA; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elham Azizi
- Department of Biomedical Engineering, Columbia University, New York, NY 10027, USA; Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA
| | - Markus Siegelin
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Chao Lu
- Department of Genetics and Development, Columbia University Medical Center, New York, NY 10032, USA
| | - Santiago J Carmona
- Department of Oncology UNIL CHUV, Lausanne Branch, Ludwig Institute for Cancer Research Lausanne, CHUV and University of Lausanne, Lausanne, 1066 Épalinges, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Hanina Hibshoosh
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Antoni Ribas
- Department of Medicine, Jonsson Comprehensive Cancer Center, University of California, Los Angeles (UCLA), Los Angeles, CA 90024, USA
| | - Peter Canoll
- Department of Pathology and Cell Biology, Columbia University Medical Center, New York, NY 10032, USA
| | - Jeffrey N Bruce
- Department of Neurological Surgery, New York Presbyterian/Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Praveen Agrawal
- Department of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, New York, NY 10461, USA
| | - Denis Schapiro
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Bioquant, 69120 Heidelberg, Germany; Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Eva Hernando
- Department of Pathology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Evan Z Macosko
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Fei Chen
- Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA; Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA
| | - Gary K Schwartz
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Benjamin Izar
- Department of Medicine, Division of Hematology/Oncology, and Herbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, NY 10032, USA; Program for Mathematical Genomics, Columbia University, New York, NY 10032, USA; Columbia Center for Translational Immunology, Columbia University Irving Medical Center, New York, NY 10032, USA.
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26
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Azizi E, Fielding J, Abel LA. Video game training in traumatic brain injury patients: an exploratory case report study using eye tracking. J Eye Mov Res 2022; 15:10.16910/jemr.15.1.6. [PMID: 36353121 PMCID: PMC9639239 DOI: 10.16910/jemr.15.1.6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Remediation of attentional impairments is an essential component of cognitive rehabilitation
after traumatic brain injury (TBI). Evidence from healthy participants has demonstrated attentional
improvement following playing an action video game. This exploratory study investigated
its application in TBI participants in a multiple baselines single case experimental
design (SCED). Saccadic eye movements, recognized as the visible indicators of visual attention,
were assessed to evaluate the effectiveness of the game training. Three severe TBI
participants were trained in an action game for 10 hours. Saccadic eye movements during a
self-paced saccade and an abstract visual search task were investigated during baseline, mid
training and post-training. Using Percentage of Non-overlapping Data (PND), analysis
showed consistent increase in the rate of the self-paced saccades in participants 1
(PND=80%) and 2 (PND=70%). In abstract search, fixation duration showed a minimally
effective decrease for participant 2 (PND= 60%) and a moderately effective reduction in
participant 3 (PND= 80%). Search time showed a highly effective reduction in participant
2 (PND = 100%) and moderately effective decrease in participant 3 (PND=70%). Overall,
video game training might modify allocation of attention in eye movements. More evidence
is required to validate the usefulness of this novel method of the cognitive training.
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Affiliation(s)
- Elham Azizi
- Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Larry A. Abel
- Mashhad University of Medical Sciences, Mashhad, Iran
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27
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Abramov A, Fuller J, Su I, Flatley M, Abrams D, Stanifer BP, Agerstrand C, Brodie D, Sonett J, Azizi E, Lemaitre P. P94: COVID-19-related ARDS Supported with Extracorporeal Membrane Oxygenation: Using Machine Learning Models to Improve Care. ASAIO J 2022. [DOI: 10.1097/01.mat.0000841592.03089.c7] [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] Open
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28
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Melms JC, Biermann J, Amin AD, Wang Y, Tagore S, Andreatta M, Nair A, Rogava M, Ho P, Caprio LA, Walsh ZH, Shah S, Vacarro DH, Caldwell B, Luoma AM, Driver J, Ingham M, Rapisuwon S, Wargo J, Slinguff CL, Macosco EZ, Chen F, Carvajal R, Atkins MB, Davies MA, Azizi E, Carmona SJ, Hibshoosh H, Canoll PD, Bruce JN, Bi WL, Schwartz GK, Izar B. Abstract 984: Dissecting the ecosystem of treatment-naïve melanoma brain metastasis using multi-modal single-cell analysis. Cancer Res 2022. [DOI: 10.1158/1538-7445.am2022-984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Brain metastases are the most frequent malignancies in the brain and are associated with significant morbidity and mortality. Melanoma brain metastases (MBM) occur in most patients with advanced melanoma and are challenging to treat. Our understanding of the treatment-naïve landscape of MBM is still rudimentary, and there are no site-specific molecular therapies available. To gain comprehensive insights into the niche-specific biology of MBM, we performed multi-modal profiling of fresh and frozen samples using single-cell RNA-seq, single-cell TCR-seq, single-nuclei RNA-seq, and spatial transcriptional profiling. We evolved single-nucleus RNA-seq processing methods to enable profiling of minute amounts of archival, frozen specimens and compared data quality and structure between matched fresh and frozen MBM. We curated a treatment-naïve single-transcriptome atlas of MBM, collected either fresh samples over 1 year or profiled frozen samples dating back more than 15 years, and compared these samples to extracranial melanoma metastases (ECMM). In total, we profiled 25 samples with more than 114,000 transcriptomes. We identified more than 20 different cell types, including diverse tumor-infiltrating T-cell subsets and rare dendritic cell types, and tissue-specific cell types, such as activated microglia. Tumor cells in MBM showed an increase in copy number alterations (CNAs) compared to ECMM, which we validated using an external dataset of whole exome sequencing (WES) data including both MBM and ECMM. MBM-derived tumor cells show enrichment of genes involved in neuronal development and function, and site-specific metabolic programs (e.g., oxidative phosphorylation). Comparison with an external bulk RNA-seq dataset validated enriched key genes in MBM and ECMM as putative dependencies. We recovered cell-cell interactions between tumor and brain-resident cells involved in brain development, homeostasis, and disease. Similar to ECMM, the tumor microenvironment of MBM contained CD8+ T cells across a spectrum of differentiation, exhaustion and expansion, which was associated with loss of TCF7 expression and adoption of a TOX+ cell state. CD4+ T cells included T regulatory, T helper and T follicular-helper-like expression profiles. Plasma cells showed spatially localized expansion and limited heterogeneity. Myeloid cells largely adopted pro-tumorigenic cell states, including microglia, the brain-resident myeloid cells, which showed an activation trajectory characterized by expression of SPP1 (osteopontin). Spatial transcriptional analysis revealed restricted expression of antigen presentation genes with only a subset of these locations showing a type I interferon response. In summary, this work presents a multi-modal single-cell approach to dissect and compare the landscape of treatment-naïve MBM and ECMM.
Citation Format: Johannes C. Melms, Jana Biermann, Amit Dipak Amin, Yiping Wang, Somnath Tagore, Massimo Andreatta, Ajay Nair, Meri Rogava, Patricia Ho, Lindsay A. Caprio, Zachary H. Walsh, Shivem Shah, Daniel H. Vacarro, Blake Caldwell, Adrienne M. Luoma, Joseph Driver, Matthew Ingham, Suthee Rapisuwon, Jennifer Wargo, Craig L. Slinguff, Evan Z. Macosco, Fei Chen, Richard Carvajal, Michael B. Atkins, Michael A. Davies, Elham Azizi, Santiago J. Carmona, Hanina Hibshoosh, Peter D. Canoll, Jeffrey N. Bruce, Wenya L. Bi, Gary K. Schwartz, Benjamin Izar. Dissecting the ecosystem of treatment-naïve melanoma brain metastasis using multi-modal single-cell 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 984.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Joseph Driver
- 4Brigham and Women' Hospital. Harvard Medical School, Boston, NY
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- 4Brigham and Women' Hospital. Harvard Medical School, Boston, NY
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Nazaripour E, Mosazadeh F, Rahimi SS, Alijani HQ, Isaei E, Borhani F, Iravani S, Ghasemi M, Akbarizadeh MR, Azizi E, Sharifi F, Haghighat M, Hadizadeh S, Moghadam MD, Abdollahpour-Alitappeh M, Khatami M. Ferromagnetic nickel (II) oxide (NiO) nanoparticles: biosynthesis, characterization and their antibacterial activities. Rend Fis Acc Lincei 2022. [DOI: 10.1007/s12210-021-01042-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Hoseini SG, Heshmat-Ghahdarijani K, Khosrawi S, Garakyaraghi M, Shafie D, Mansourian M, Roohafza H, Azizi E, Sadeghi M. Melatonin supplementation improves N-terminal pro-B-type natriuretic peptide levels and quality of life in patients with heart failure with reduced ejection fraction: Results from MeHR trial, a randomized clinical trial. Clin Cardiol 2022; 45:417-426. [PMID: 35170783 PMCID: PMC9019884 DOI: 10.1002/clc.23796] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/15/2022] [Accepted: 02/02/2022] [Indexed: 11/10/2022] Open
Abstract
Background Melatonin, the major secretion of the pineal gland, has beneficial effects on the cardiovascular system and might advantage heart failure with reduced ejection fraction (HFrEF) by attenuating the effects of the renin–angiotensin–aldosterone and sympathetic system on the heart besides its antioxidant and anti‐inflammatory effects. Hypothesis We hypothesized that oral melatonin might improve echocardiographic parameters, serum biomarkers, and a composite clinical outcome (including quality of life, hospitalization, and mortality) in patients with HFrEF. Methods A placebo‐controlled double‐blinded randomized clinical trial was conducted on patients with stable HFrEF. The intervention was 10 mg melatonin or placebo tablets administered every night for 24 weeks. Echocardiography and measurements of N‐terminal pro‐B‐type natriuretic peptide (NT‐Pro BNP), high‐sensitivity C‐reactive protein, lipid profile, and psychological parameters were done at baseline and after 24 weeks. Results Overall, 92 patients were recruited, and 85 completed the study (melatonin: 42, placebo: 43). Serum NT‐Pro BNP decreased significantly in the melatonin compared with the placebo group (estimated marginal means for difference [95% confidence interval]: 111.0 [6.2–215.7], p = .044). Moreover, the melatonin group had a significantly better clinical outcome (0.93 [0.18–1.69], p = .017), quality of life (5.8 [0.9–12.5], p = .037), and New York Heart Association class (odds ratio: 12.9 [1.6–102.4]; p = .015) at the end of the trial. Other studied outcomes were not significantly different between groups. Conclusions Oral melatonin decreased NT‐Pro BNP and improved the quality of life in patients with HFrEF. Thus it might be a beneficial supplement in HFrEF.
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Affiliation(s)
- Shervin G Hoseini
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.,Department of Physical Medicine and Rehabilitation, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Kiyan Heshmat-Ghahdarijani
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Saeid Khosrawi
- Department of Physical Medicine and Rehabilitation, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Garakyaraghi
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Davood Shafie
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marjan Mansourian
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamidreza Roohafza
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elham Azizi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masoumeh Sadeghi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
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Bachireddy P, Azizi E, Burdziak C, Nguyen VN, Ennis CS, Maurer K, Park CY, Choo ZN, Li S, Gohil SH, Ruthen NG, Ge Z, Keskin DB, Cieri N, Livak KJ, Kim HT, Neuberg DS, Soiffer RJ, Ritz J, Alyea EP, Pe'er D, Wu CJ. Mapping the evolution of T cell states during response and resistance to adoptive cellular therapy. Cell Rep 2021; 37:109992. [PMID: 34758319 PMCID: PMC9035342 DOI: 10.1016/j.celrep.2021.109992] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [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: 07/20/2020] [Revised: 06/23/2021] [Accepted: 10/21/2021] [Indexed: 01/06/2023] Open
Abstract
To elucidate mechanisms by which T cells eliminate leukemia, we study donor lymphocyte infusion (DLI), an established immunotherapy for relapsed leukemia. We model T cell dynamics by integrating longitudinal, multimodal data from 94,517 bone marrow-derived single T cell transcriptomes in addition to chromatin accessibility and single T cell receptor sequencing from patients undergoing DLI. We find that responsive tumors are defined by enrichment of late-differentiated T cells before DLI and rapid, durable expansion of early differentiated T cells after treatment, highly similar to "terminal" and "precursor" exhausted subsets, respectively. Resistance, in contrast, is defined by heterogeneous T cell dysfunction. Surprisingly, early differentiated T cells in responders mainly originate from pre-existing and novel clonotypes recruited to the leukemic microenvironment, rather than the infusion. Our work provides a paradigm for analyzing longitudinal single-cell profiling of scenarios beyond adoptive cell therapy and introduces Symphony, a Bayesian approach to infer regulatory circuitry underlying T cell subsets, with broad relevance to exhaustion antagonists across cancers.
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Affiliation(s)
- Pavan Bachireddy
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA; Department of Hematopoietic Biology & Malignancy, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Cancer Prevention and Research Institute of Texas (CPRIT) Scholar in Cancer Research, Austin, TX 78701, USA.
| | - Elham Azizi
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Biomedical Engineering and Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA.
| | - Cassandra Burdziak
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY 10065, USA
| | - Vinhkhang N Nguyen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Christina S Ennis
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Katie Maurer
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Cameron Y Park
- Department of Biomedical Engineering and Irving Institute for Cancer Dynamics, Columbia University, New York, NY 10027, USA
| | - Zi-Ning Choo
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Shuqiang Li
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Satyen H Gohil
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Neil G Ruthen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Zhongqi Ge
- Department of Hematopoietic Biology & Malignancy, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Derin B Keskin
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Nicoletta Cieri
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Translational Immunogenomics Laboratory, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Haesook T Kim
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Donna S Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA
| | - Robert J Soiffer
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Jerome Ritz
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Edwin P Alyea
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Dana Pe'er
- Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Parker Institute of Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
| | - Catherine J Wu
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Harvard Medical School, Boston, MA 02115, USA.
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Khanlarkhani N, Azizi E, Amidi F, Khodarahmian M, Salehi E, Pazhohan A, Farhood B, Mortezae K, Goradel NH, Nashtaei MS. Metabolic risk factors of ovarian cancer: a review. JBRA Assist Reprod 2021; 26:335-347. [PMID: 34751020 PMCID: PMC9118962 DOI: 10.5935/1518-0557.20210067] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Ovarian cancer continues to be the leading cause of death from gynecological cancers. Despite inconsistent results, patients with metabolic abnormalities, including obesity and diabetes mellitus (DM), have poorer outcomes, showing a correlation with ovarian cancer incidence and ovarian cancer survival. Since ovarian cancer is the most common cancer in women, and considering the increasing prevalence of obesity and DM, this paper reviews the literature regarding the relationship between the aforementioned metabolic derangements and ovarian cancer, with a focus on ovarian cancer incidence, mortality, and likely mechanisms behind them. Several systematic reviews and meta-analyses have shown that obesity is associated with a higher incidence and poorer survival in ovarian cancer. Although more studies are required to investigate the etiological relation of DM and ovarian cancer, sufficient biological evidence indicates poorer outcomes and shorter survival in DM women with ovarian cancer. A variety of pathologic factors may contribute to ovarian cancer risk, development, and survival, including altered adipokine expression, increased levels of circulating growth factors, altered levels of sex hormones, insulin resistance, hyperinsulinemia, and chronic inflammation. Thus, obesity and DM, as changeable risk factors, can be targeted for intervention to prevent ovarian cancer and improve its outcomes.
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Affiliation(s)
- Neda Khanlarkhani
- Department of Physiology and Pharmacology, Karolinska Institute, Sweden
| | - Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fardin Amidi
- Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahshad Khodarahmian
- Infertility department, Arash Women's Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Ensieh Salehi
- Department of Gynecology, School of Medicine, Fertility and Infertility Research Center, Dr. Ali Shariati Hospital, Shahid Mohammadi Hospital, Hormozgan University of Medical Sciences, Hormozgan, Iran
| | - Azar Pazhohan
- Infertility Center, Academic Center for Education, Culture and Research, East Azarbaijan, Tabriz, Iran. / Department of Midwifery, Urmia Branch, Islamic Azad University, Urmia, Iran
| | - Bagher Farhood
- Departments of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran
| | - Keywan Mortezae
- Department of Anatomy, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran
| | - Nasser Hashemi Goradel
- Department of Medical Biotechnology, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Shabani Nashtaei
- Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran. / Infertility Department, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
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Azizi E, Moradi F. The effect of ginseng supplementation on anabolic index, muscle strength, body composition, and testosterone and cortisol response to acute resistance exercise in male bodybuilders. Sci Sports 2021. [DOI: 10.1016/j.scispo.2020.09.010] [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: 10/22/2022]
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Salehpour S, Nazari L, Hosseini S, Azizi E, Borumandnia N, Hashemi T. Efficacy of daily GnRH agonist for luteal phase support following GnRH agonist triggered ICSI cycles versus conventional strategy: A Randomized controlled trial. JBRA Assist Reprod 2021; 25:368-372. [PMID: 33507722 PMCID: PMC8312295 DOI: 10.5935/1518-0557.20200077] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Objective: The use of gonadotropin-releasing hormone agonist (GnRHa) as an alternative for human chronic gonadotropin (hCG) trigger has potential benefits, but the optimal luteal phase support (LPS) following GnRHa trigger remains to be elucidated. We aimed to investigate a new strategy (daily GnRH agonist for LPS following GnRH agonist trigger) as an alternative for the conventional approach to the patients undergoing intracytoplasmic sperm injection (ICSI). Methods: In this randomized controlled trial study, 44 ICSI patients were randomly assigned into two groups: group 1, patients received standard strategy (hCG trigger [10000 IU] and progesterone bid [400 mg/BD] for LPS); group 2, patients received a dose of GnRHa (0.2 mg) for ovulation trigger and subcutaneous injection of GnRHa bid (0.2 mg) for LPS. Results: The pregnancy, miscarriage, and live birth rates for the patients undergoing LPS following the GnRHa trigger were similar to those of patients undergoing the standard strategy. Conclusions: We showed that a daily subcutaneous injection of GnRHa for LPS following the GnRHa trigger can be successfully performed as an alternative to the standard strategy, with comparable pregnancy and live birth rates in ICSI patients.
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Affiliation(s)
- Saghar Salehpour
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leila Nazari
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sedighe Hosseini
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Azizi
- Department of Biology and Anatomical Sciences, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Borumandnia
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Teibeh Hashemi
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Hoseini SG, Heshmat-Ghahdarijani K, Khosrawi S, Garakyaraghi M, Shafie D, Roohafza H, Mansourian M, Azizi E, Gheisari Y, Sadeghi M. Effect of melatonin supplementation on endothelial function in heart failure with reduced ejection fraction: A randomized, double-blinded clinical trial. Clin Cardiol 2021; 44:1263-1271. [PMID: 34184295 PMCID: PMC8427988 DOI: 10.1002/clc.23682] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 06/20/2021] [Indexed: 12/20/2022] Open
Abstract
Background This study aimed to investigate the effect of melatonin supplementation on endothelial function in patients with heart failure with reduced ejection fraction (HFrEF). Methods This is an analysis of the MeHR trial, a randomized double‐blinded placebo‐controlled clinical trial with two parallel arms of 1:1. Oral 10 mg melatonin tablets or placebo was administered for 24 weeks. Deference in the percentage of flow‐mediated dilatation (FMD) after the intervention was the primary outcome. Results Ninety‐two patients were included in the study (age: 62.7±10.3 years, 87.0% male, ejection fraction (EF): 28.6±8.1). After adjustment for baseline FMD and age, a statistically significant difference in post‐treatment FMD in favor of the melatonin group was seen (estimated marginal means [95%CI], melatonin: 7.84% [6.69–8.98], placebo: 5.98% [4.84–7.12], p = .027). There was no significant difference in the mean of post‐treatment systolic/diastolic blood pressure, serum total antioxidant capacity, and serum malondialdehyde (MDA) between groups. Subgroup analysis showed significant improvement in FMD and MDA in the melatonin group in nondiabetic patients, while no difference was seen between study groups in diabetic patients. Conclusions Melatonin supplementation in HFrEF might improve endothelial function; however, this beneficial effect might not be seen in diabetic patients.
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Affiliation(s)
- Shervin Ghaffari Hoseini
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.,Department of Physical Medicine and Rehabilitation, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Kiyan Heshmat-Ghahdarijani
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Saeid Khosrawi
- Department of Physical Medicine and Rehabilitation, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Garakyaraghi
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Davood Shafie
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamidreza Roohafza
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Marjan Mansourian
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elham Azizi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Yousof Gheisari
- Regenerative Medicine Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Masoumeh Sadeghi
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
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Bachireddy P, Azizi E, Burdziak C, Nguyen V, Ennis C, Choo ZN, Li S, Livak K, Neuberg D, Soiffer R, Ritz J, Alyea E, Pe'er D, Wu C. Abstract LT008: Mapping the evolution of T cell states during response and resistance to adoptive cellular therapy. Cancer Res 2021. [DOI: 10.1158/1538-7445.tme21-lt008] [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
Immune therapies have transformed the cancer therapeutic landscape but fail to benefit most patients. To elucidate the underlying mechanisms by which T cells mediate elimination of leukemia, we generated a high-resolution map of longitudinal T cell dynamics within the same tumor microenvironment (TME; bone marrow) during response or resistance to donor lymphocyte infusion (DLI), a widely used immunotherapy for relapsed leukemia. We analyzed 87,939 bone marrow-derived single T cell transcriptomes, along with chromatin accessibility and single T cell receptor clonality profiles, by developing novel machine learning tools for integrating longitudinal and multimodal data. We found that pre-treatment enrichment and post-treatment rapid, durable expansion of ‘terminal’ (TEX) and ‘precursor’ (TPEX) exhausted subsets, respectively, defined DLI response. In contrast to the common, shared pathways marking DLI response, a heterogeneous pattern of T cell dysfunction marked DLI resistance. Unexpectedly, TPEX cells that expanded in responders did not arise from the infusion product but instead from both pre-existing and novel clonotypes recruited to the TME. Further, we introduce a Bayesian method, Symphony, to define the T cell regulatory circuitry and master regulators underlying TEX and TPEX subsets that may be broadly relevant to other exhaustion antagonists across cancers. In conclusion, our data implicate the hierarchy of both TEX and TPEX subsets for immunotherapeutic responses in leukemia, extending the scope of their relevance beyond checkpoint blockade to adoptive cellular therapy. Moreover, our results provocatively suggest that immunologic ‘help’ from DLI, rather than direct transfer of anti-leukemic T cells, drove leukemic remission. Finally, we provide a general analysis paradigm for exploiting temporal single-cell genomic profiling for deep understanding of how immune therapies differentially shape the evolutionary trajectories of the TME in accordance with clinical outcome.
Citation Format: Pavan Bachireddy, Elham Azizi, Cassandra Burdziak, Vinhkhang Nguyen, Christina Ennis, Zi- Ning Choo, Shuqiang Li, Kenneth Livak, Donna Neuberg, Robert Soiffer, Jerome Ritz, Edwin Alyea, Dana Pe'er, Catherine Wu. Mapping the evolution of T cell states during response and resistance to adoptive cellular therapy [abstract]. In: Proceedings of the AACR Virtual Special Conference on the Evolving Tumor Microenvironment in Cancer Progression: Mechanisms and Emerging Therapeutic Opportunities; in association with the Tumor Microenvironment (TME) Working Group; 2021 Jan 11-12. Philadelphia (PA): AACR; Cancer Res 2021;81(5 Suppl):Abstract nr LT008.
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Affiliation(s)
| | | | | | | | | | - Zi- Ning Choo
- 3Memorial Sloan Kettering Cancer Center, New York City, NY,
| | | | | | | | | | | | | | - Dana Pe'er
- 3Memorial Sloan Kettering Cancer Center, New York City, NY,
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Hazbavi Z, Mostfazadeh R, Alaei N, Azizi E. Spatial and temporal analysis of the COVID-19 incidence pattern in Iran. Environ Sci Pollut Res Int 2021; 28:13605-13615. [PMID: 33188632 PMCID: PMC7666576 DOI: 10.1007/s11356-020-11499-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 11/02/2020] [Indexed: 05/09/2023]
Abstract
In the present paper, province-level variations of novel coronavirus (COVID-19) disease incidence across Iran were investigated. To this end, a geo-database from infected cases, deaths, total population, death-to-population ratio, and infected case-to-death ratio for 31 provinces of Iran and during seven successive periods of February 18-March 19 (P1), March 20-April 8 (P2), April 9-April 28 (P3), April 29-May 20 (P4), May 21-June 20 (P5), June 21-September 21 (P6), and September 22-October 21 (P7) of 2020 was built. Based on the last reports of the population and housing census (2018), Iran is home to 81.8 million people. Nationwide case series of 536,181 and 29,403 infected cases and deaths respectively with COVID-19 were reported to Iran's Minister of Health from February 18 to October 21, 2020. Of the infected cases, 5.48% have died. The spatiotemporal patterns of COVID-19 were different throughout the 31 study provinces. Firstly, the central, north, and northwest of Iran were the main hosts of this virus. Shortly after, other parts of Iran, most notably the west and southwest regions, experienced a momentous rise in the numeral of infected cases and deaths. In the first study period, Tehran, West Azerbaijan, Mazandaran, Qom, and Gilan had the most infected cases (> 1000). In the second to fourth periods, the number of provinces with higher than 1000 infected cases, respectively, reached 12, 10, and 17. For the last three periods (P5-P7), 31 provinces were assigned higher than 1000 infected cases. Tehran had the most deaths with an increasing trend for all study periods among other provinces. The areas around Kohgiluyeh and Boyer-Ahmad, Bushehr, Chaharmahal and Bakhtiari, South Khorasan, and Ilam had the least death cases. The numbers of infected (death) cases in Iran for the first to seventh periods (P1-P7) respectively were 16,730 (1208), 41,285 (1595), 28,530 (1876), 16,366 (1856), 80,694 (6588), 201,585 (6232), and 128,336 (6953). The location quotient (LQ) index showed that most provinces of Iran have the LQ > 1 indicating a high degree of COVID-19 concentration in most of the province's area in comparison with the nation, especially in the last study period (P7).
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Affiliation(s)
- Zeinab Hazbavi
- Department of Natural Resources, Faculty of Agriculture and Natural Resources, Water Management Research Center, University of Mohaghegh Ardabili, Ardabil, Iran
| | - Raoof Mostfazadeh
- Department of Natural Resources, Faculty of Agriculture and Natural Resources, Water Management Research Center, University of Mohaghegh Ardabili, Ardabil, Iran.
| | - Nazila Alaei
- Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabili, Iran
| | - Elham Azizi
- Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabili, Iran
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Nazari L, Salehpour S, Hosseini S, Allameh F, Jahanmardi F, Azizi E, Ghodssi-Ghassemabadi R, Hashemi T. Effect of antioxidant supplementation containing L-carnitine on semen parameters: a prospective interventional study. JBRA Assist Reprod 2021; 25:76-80. [PMID: 32598834 PMCID: PMC7863100 DOI: 10.5935/1518-0557.20200043] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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] [Indexed: 12/13/2022] Open
Abstract
Objective: One of the remarkable causes of infertility in men is oxidative stress having a reducing effect on their reproductive function. In the present study, we investigated the efficacy of supplementation with antioxidants and L-Carnitine (contained in Androferti) on semen parameters. Methods: We included 180 infertile male patients diagnosed with idiopathic oligoastenoteratozoospermia (OAT) in this study, and we analyzed the semen sample from 59 patients before and after oral antioxidant treatment, with the commercial name of Androferti (containing 1500 mg of L-Carnitine, 60 mg of vitamin C, 20 mg of coenzyme Q10, 10 mg of vitamin E, 10 mg of zinc, 200 µg of vitamin B9, 50 µg of selenium, 1 µg of vitamin B12). All of the patients received Androferti twice a day for 3 months. Results: There were significant improvements in the sperm concentration (p=0.004) after the antioxidant supplementation. There was also a meaningfully improvement in sperm morphology (p=0.01) after treatment. However, sperm motility was not significantly altered after antioxidant treatment (p=0.2). Conclusions: Antioxidants supplementation containing 1500 mg L-carnitine can improve the semen quality in infertile men diagnosed with idiopathic OAT. However, further studies are required to determine the antioxidant effects on reproduction function.
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Affiliation(s)
- Leila Nazari
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saghar Salehpour
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sedighe Hosseini
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Allameh
- Department of Urology, Preventative Gynecology Research Center, Shahid Beheshti University o f Medical Sciences, Tehran, Iran
| | - Ferdoos Jahanmardi
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Azizi
- Department of Biology and Anatomical Sciences, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Teibeh Hashemi
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Alonso-Curbelo D, Ho YJ, Burdziak C, Maag JLV, Morris JP, Chandwani R, Chen HA, Tsanov KM, Barriga FM, Luan W, Tasdemir N, Livshits G, Azizi E, Chun J, Wilkinson JE, Mazutis L, Leach SD, Koche R, Pe'er D, Lowe SW. A gene-environment-induced epigenetic program initiates tumorigenesis. Nature 2021; 590:642-648. [PMID: 33536616 PMCID: PMC8482641 DOI: 10.1038/s41586-020-03147-x] [Citation(s) in RCA: 116] [Impact Index Per Article: 38.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 12/18/2020] [Indexed: 02/07/2023]
Abstract
Tissue damage increases the risk of cancer through poorly understood mechanisms1. In mouse models of pancreatic cancer, pancreatitis associated with tissue injury collaborates with activating mutations in the Kras oncogene to markedly accelerate the formation of early neoplastic lesions and, ultimately, adenocarcinoma2,3. Here, by integrating genomics, single-cell chromatin assays and spatiotemporally controlled functional perturbations in autochthonous mouse models, we show that the combination of Kras mutation and tissue damage promotes a unique chromatin state in the pancreatic epithelium that distinguishes neoplastic transformation from normal regeneration and is selected for throughout malignant evolution. This cancer-associated epigenetic state emerges within 48 hours of pancreatic injury, and involves an 'acinar-to-neoplasia' chromatin switch that contributes to the early dysregulation of genes that define human pancreatic cancer. Among the factors that are most rapidly activated after tissue damage in the pre-malignant pancreatic epithelium is the alarmin cytokine interleukin 33, which recapitulates the effects of injury in cooperating with mutant Kras to unleash the epigenetic remodelling program of early neoplasia and neoplastic transformation. Collectively, our study demonstrates how gene-environment interactions can rapidly produce gene-regulatory programs that dictate early neoplastic commitment, and provides a molecular framework for understanding the interplay between genetic and environmental cues in the initiation of cancer.
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Affiliation(s)
- Direna Alonso-Curbelo
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yu-Jui Ho
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cassandra Burdziak
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Jesper L V Maag
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John P Morris
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rohit Chandwani
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Surgery, Weill Cornell Medical College, New York, NY, USA
- Department of Cell and Developmental Biology, Weill Cornell Medical College, New York, NY, USA
| | - Hsuan-An Chen
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Louis V. Gerstner Jr Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kaloyan M Tsanov
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Francisco M Barriga
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wei Luan
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nilgun Tasdemir
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Geulah Livshits
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elham Azizi
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jaeyoung Chun
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John E Wilkinson
- Department of Pathology, University of Michigan School of Medicine, Ann Arbor, MI, USA
| | - Linas Mazutis
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Steven D Leach
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Dartmouth Norris Cotton Cancer Center, Hanover, NH, USA
- David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Richard Koche
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Dana Pe'er
- Computational and Systems Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Scott W Lowe
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Howard Hughes Medical Institute, Chevy Chase, MD, USA.
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Azizi E, Naji M, Salehpour S, Saharkhiz N, Karimi M, Borumandnia N, Mofarahe ZS. Impact of ejaculatory abstinence period and semen characteristic on the reproductive outcomes after intracytoplasmic sperm injection. JBRA Assist Reprod 2021; 26:475-481. [PMID: 35257558 PMCID: PMC9355438 DOI: 10.5935/1518-0557.20210124] [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] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Objective The prognostic of semen characteristics in intracytoplasmic sperm injection (ICSI) outcomes is not clear. Also, there is no evidence-based recommendation for the abstinence period before ICSI. So, we aimed to assess the influence of the abstinence period and semen characteristics on ICSI outcomes. Methods A total of 1003 fresh ICSI cycles were divided into six groups; group 1 (1-day abstinence), group 2 (2 days abstinence), group 3 (3 days abstinence), group 4 (4 days abstinence), group 5 (5 days abstinence), and group 6 (6-10 days abstinence). Results We showed that semen volume (p=0.0001) and total sperm count (p=0.005) were increased in the groups with higher abstinence periods. Other semen parameters did not significantly associate with the abstinence period. The percentage of progressively motile sperm was associated with fertilization rate (p=0.007), and the sperm morphology was associated with cleavage-stage embryo rate (p=0.036). No influence of abstinence or semen parameters on rates of pregnancies was observed. Conclusions The abstinence period before ICSI can influence the semen volume and total sperm count, and possibly fertilization. Although the sperm with the highest quality are selected for ICSI, the percentages of progressively motile and morphologically normal sperm in the ejaculated semen have a predictive value for fertilization and cleavage rates after ICSI, respectively.
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Affiliation(s)
- Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Naji
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saghar Salehpour
- IVF center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Preventative Gynecology Research Center (PGRC), Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Saharkhiz
- IVF center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Preventative Gynecology Research Center (PGRC), Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Karimi
- IVF center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Borumandnia
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Shams Mofarahe
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Taleghani Hospital Research Development Unit, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Corresponding author: Zahra Shams Mofarahe, Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. E-mail:
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Azizi E, Ghaffari Novin M, Naji M, Amidi F, Hosseinirad H, Shams Mofarahe Z. Effect of vitrification on biogenesis pathway and expression of development-related microRNAs in preimplantation mouse embryos. Cell Tissue Bank 2020; 22:103-114. [PMID: 33033964 DOI: 10.1007/s10561-020-09870-z] [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] [Received: 11/06/2019] [Revised: 04/15/2020] [Accepted: 09/28/2020] [Indexed: 12/18/2022]
Abstract
Vitrification of embryos has been known as the most efficient cryopreservation method in assisted reproductive technology clinics. Vitrification of preimplantation embryo might be associated with altered gene expression profile and biochemical changes of vitrified embryos. Stringent regulation of gene expression in early embryonic stages is very critical for normal development. In the present study, we investigated the effect of vitrification on the canonical miRNA biogenesis pathway, and also the expression of developmental related miRNAs, in 8-cell and blastocyst mouse embryos. Although the expression pattern of the miRNA biogenesis pathway genes differed between 8-cell and blastocyst mouse embryos, vitrification did not affect the expression level of these genes in preimplantation embryos. The expression levels of miR-21 and let-7a were significantly decreased in vitrified 8-cell embryos and fresh blastocysts when compared with fresh 8-cell embryos. The expression of Stat3 was significantly reduced in blastocysts after vitrification. The alteration in the expression pattern of miRNAs, due to their mode of action, can affect broad downstream key developmental signaling pathways. Therefore, the blastocyst stage is the preferred point for embryo vitrification as they are less susceptible to cryo-damages regarding the stability of miRNAs related to the developmental and implantation competence of embryo.
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Affiliation(s)
- Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Marefat Ghaffari Novin
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Infertility and Reproductive Health Research Center (IRHRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Naji
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fardin Amidi
- Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Hossein Hosseinirad
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Shams Mofarahe
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Azizi E, Naji M, Nazarian H, Salehpour S, Karimi M, Borumandnia N, Shams Mofarahe Z. Correction to: Does timing in ICSI cycle affect oocyte quality and reproductive outcomes? A prospective study. Arch Gynecol Obstet 2020; 302:515-518. [PMID: 32472184 DOI: 10.1007/s00404-020-05613-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
In the original article published, the values given in the variables are incorrect.
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Affiliation(s)
- Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Naji
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Nazarian
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saghar Salehpour
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Karimi
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Borumandnia
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Shams Mofarahe
- Men's Health and Reproductive Health Research Center (MHRHRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Azizi E, Naji M, Nazarian H, Salehpour S, Karimi M, Borumandnia N, Shams Mofarahe Z. Does timing in ICSI cycle affect oocyte quality and reproductive outcomes? A prospective study. Arch Gynecol Obstet 2020; 302:505-513. [PMID: 32367381 DOI: 10.1007/s00404-020-05555-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Accepted: 04/20/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE To evaluate the association of time intervals between various steps of the intracytoplasmic sperm injection (ICSI) cycle with oocyte quality and reproductive outcomes. METHODS We conducted a prospective study among patients undergoing ICSI cycles in an academic hospital between May 2017 and January 2019. The time intervals between the various steps of cycles were recorded. The ICSI cycles were categorized according to the different time intervals; human chorionic gonadotropin (hCG) injection to oocyte pick up (hCG-OPU) (≤ 36 h and > 36 h), OPU-denudation (≤ 2 h and > 2 h), and denudation-ICSI (≤ 2 h and > 2 h). The main outcome measures were oocyte dysmorphisms, fertilization, cleavage, biochemical, and clinical pregnancy rates. RESULTS A total of 613 ICSI cycles using fresh autologous oocytes were included in this study. After adjusting for confounders, the hCG-OPU interval was associated with the presence of cytoplasmic granulation, inclusion body, and also the total number of morphologically abnormal premature oocytes in the cycle (P = 0.02, P = 0.04, P = 0.008, respectively). OPU-denudation interval was associated with cytoplasmic granulation and extended perivitelline space of the oocytes (P = 0.006 and P = 0.03, respectively). The denudation-ICSI interval was only associated with cytoplasmic granulation (P = 0.01). However, hCG-OPU, OPU-denudation, and denudation-ICSI intervals were not significantly associated with fertilization, cleavage, biochemical, and clinical pregnancy rates. CONCLUSIONS All the studied time intervals between various steps of ICSI procedure could affect oocyte quality, but the oocyte dysmorphisms were mainly associated with hCG-OPU interval. However, the time intervals were not associated with fertilization, cleavage, and pregnancy outcomes.
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Affiliation(s)
- Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Naji
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hamid Nazarian
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saghar Salehpour
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Karimi
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Borumandnia
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Shams Mofarahe
- Men's Health and Reproductive Health Research Center (MHRHRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Nazari L, Salehpour S, Hosseini S, Saharkhiz N, Azizi E, Hashemi T, Ghodssi-Ghassemabadi R. Effect of myo-inositol supplementation on ICSI outcomes among poor ovarian responder patients: A randomized controlled trial. J Gynecol Obstet Hum Reprod 2020; 49:101698. [PMID: 32018040 DOI: 10.1016/j.jogoh.2020.101698] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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: 10/07/2019] [Revised: 01/13/2020] [Accepted: 01/20/2020] [Indexed: 11/25/2022]
Abstract
PURPOSE This study has evaluated the use of myo-inositol supplementation for improving reproductive outcomes in poor responders undergoing intracytoplasmic sperm injection (ICSI). METHODS One hundred and twelve poor responder patients were included in the study and randomly categorized into two groups using a permuted block randomization method. Group A included 56 patients who received myo-inositol (4 g) and folic acid (400 μg) daily from one month before starting the ICSI cycle continuing until the ovulation triggering day. Group B included 56 patients consuming only folic acid (400 μg) daily for the same period. The outcome measures were the number of retrieved oocytes, embryo quality, Ovarian Sensitivity Index (OSI: number of oocytes retrieved/total Gonadotropins units × 1000), fertilization, implantation, and ongoing pregnancy rates. RESULTS No significant difference was observed between the two groups regarding the total dose of gonadotropin used, OSI, and the number of total retrieved and mature oocytes. Grad A embryos and fertilization rate were significantly increased in group A. Implantation and pregnancy rates showed statistically insignificant changes. CONCLUSION Treatment of poor responders with myo-inositol from one month before starting ICSI cycle continuing until ovulation trigger can improve fertilization rate and embryo quality, and may enhance the cumulative pregnancy rate in poor responders.
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Affiliation(s)
- Leila Nazari
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saghar Salehpour
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sedigheh Hosseini
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Saharkhiz
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elham Azizi
- Department of Biology and Anatomical Sciences, Student Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Teibeh Hashemi
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Azizi E, Ghaffari Novin M, Naji M, Amidi F, Shams Mofarahe Z. Does in vitro fertilization affect the expression of miRNAs and their biogenesis pathway in preimplantation mouse embryos? Birth Defects Res 2019; 112:62-70. [PMID: 31609063 DOI: 10.1002/bdr2.1599] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 07/05/2019] [Revised: 08/26/2019] [Accepted: 09/18/2019] [Indexed: 11/07/2022]
Abstract
BACKGROUND In vitro fertilization (IVF) is a well-accepted procedure which has been utilized for the treatment of infertile patients. As embryos at early stages of development are very vulnerable, the IVF conditions may influence genetic and epigenetic regulation of preimplantation mouse embryo. METHODS We assessed the effect of IVF on the expression of developmental and implantation related miRNAs (miR-21, miR-93, miR-24, and let-7a), their common presumptive target (Stat3), and miRNA biogenesis pathway genes (Drosha, Dgcr8, Exportin-5, Dicer, and Ago2). in vivo 8-cell and blastocysts were compared to IVF embryos. Expression levels of miRNAs, Stat3, and miRNA biogenesis pathway genes were evaluated by qRT-PCR in in vivo (n = 8) and IVF (n = 4) embryos. RESULTS The expression levels of let-7a and Stat3 were significantly reduced in IVF blastocyst when compared with in vivo (p = .004 and p = .009, respectively). Nevertheless, the IVF procedure did not influence the expression levels of miRNA biogenesis pathway components in 8-cell and blastocyst embryos. CONCLUSIONS Downregulation of let-7a and developmental related transcription factor, Stat3, in IVF mouse blastocysts may affect preimplantation development and implantation of embryos. Moreover, the genes of the miRNA biogenesis pathway were not changed in preimplantation mouse embryos through the IVF procedure.
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Affiliation(s)
- Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Marefat Ghaffari Novin
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Infertility and Reproductive Health Research Center (IRHRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Naji
- Urology and Nephrology Research Center (UNRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fardin Amidi
- Department of Anatomy, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Shams Mofarahe
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Viny AD, Bowman RL, Liu Y, Lavallée VP, Eisman SE, Xiao W, Durham BH, Navitski A, Park J, Braunstein S, Alija B, Karzai A, Csete IS, Witkin M, Azizi E, Baslan T, Ott CJ, Pe'er D, Dekker J, Koche R, Levine RL. Cohesin Members Stag1 and Stag2 Display Distinct Roles in Chromatin Accessibility and Topological Control of HSC Self-Renewal and Differentiation. Cell Stem Cell 2019; 25:682-696.e8. [PMID: 31495782 DOI: 10.1016/j.stem.2019.08.003] [Citation(s) in RCA: 81] [Impact Index Per Article: 16.2] [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: 09/18/2018] [Revised: 06/19/2019] [Accepted: 08/09/2019] [Indexed: 12/19/2022]
Abstract
Transcriptional regulators, including the cohesin complex member STAG2, are recurrently mutated in cancer. The role of STAG2 in gene regulation, hematopoiesis, and tumor suppression remains unresolved. We show that Stag2 deletion in hematopoietic stem and progenitor cells (HSPCs) results in altered hematopoietic function, increased self-renewal, and impaired differentiation. Chromatin immunoprecipitation (ChIP) sequencing revealed that, although Stag2 and Stag1 bind a shared set of genomic loci, a component of Stag2 binding sites is unoccupied by Stag1, even in Stag2-deficient HSPCs. Although concurrent loss of Stag2 and Stag1 abrogated hematopoiesis, Stag2 loss alone decreased chromatin accessibility and transcription of lineage-specification genes, including Ebf1 and Pax5, leading to increased self-renewal and reduced HSPC commitment to the B cell lineage. Our data illustrate a role for Stag2 in transformation and transcriptional dysregulation distinct from its shared role with Stag1 in chromosomal segregation.
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Affiliation(s)
- Aaron D Viny
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Robert L Bowman
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Yu Liu
- Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Vincent-Philippe Lavallée
- Center for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Shira E Eisman
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Wenbin Xiao
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Benjamin H Durham
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Anastasia Navitski
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Jane Park
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Stephanie Braunstein
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Besmira Alija
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Abdul Karzai
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Isabelle S Csete
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Matthew Witkin
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elham Azizi
- Center for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Timour Baslan
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Christopher J Ott
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA, USA
| | - Dana Pe'er
- Center for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Job Dekker
- Program in Systems Biology, Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, MA 01605, USA; Howard Hughes Medical Institute, 4000 Jones Bridge Road, Chevy Chase, MD 20815, USA
| | - Richard Koche
- Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ross L Levine
- Human Oncology and Pathogenesis Program and Center for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Department of Medicine, Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA; Center for Epigenetics Research, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
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47
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Hemmers S, Schizas M, Azizi E, Dikiy S, Zhong Y, Feng Y, Altan-Bonnet G, Rudensky AY. IL-2 production by self-reactive CD4 thymocytes scales regulatory T cell generation in the thymus. J Exp Med 2019; 216:2466-2478. [PMID: 31434685 PMCID: PMC6829602 DOI: 10.1084/jem.20190993] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [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] [Received: 06/04/2019] [Revised: 07/30/2019] [Accepted: 08/05/2019] [Indexed: 12/14/2022] Open
Abstract
Regulatory T (T reg) cells, a specialized subset of CD4+ T cells, are essential to prevent fatal autoimmunity. Expression of the T reg lineage-defining transcription factor Foxp3, and therefore their differentiation in the thymus, is dependent upon T cell receptor (TCR) and interleukin-2 (IL-2) signaling. Here, we report that the majority of IL-2-producing cells in the thymus are mature CD4 single-positive (CD4SP) thymocytes and that continuous IL-2 production sustained thymic T reg cell generation and control of systemic immune activation. Furthermore, single-cell RNA sequencing analysis of CD4 thymocyte subsets revealed that IL-2 was expressed in self-reactive CD4SP thymocytes, which also contain T reg precursor cells. Thus, our results suggest that the thymic T reg cell pool size is scaled by a key niche factor, IL-2, produced by self-reactive CD4SP thymocytes. This IL-2-dependent scaling of thymic T reg cell generation by overall self-reactivity of a mature post-selection thymic precursor pool may likely ensure adequate control of autoimmunity.
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Affiliation(s)
- Saskia Hemmers
- Howard Hughes Medical Institute and Immunology Program at Sloan Kettering Institute, and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michail Schizas
- Howard Hughes Medical Institute and Immunology Program at Sloan Kettering Institute, and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Elham Azizi
- Program for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Stanislav Dikiy
- Howard Hughes Medical Institute and Immunology Program at Sloan Kettering Institute, and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY.,Immunology and Microbial Pathogenesis Program, Weill Cornell Graduate School of Medical Sciences, New York, NY
| | - Yi Zhong
- Howard Hughes Medical Institute and Immunology Program at Sloan Kettering Institute, and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Yongqiang Feng
- Howard Hughes Medical Institute and Immunology Program at Sloan Kettering Institute, and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Grégoire Altan-Bonnet
- Immunodynamics Group, Cancer and Inflammation Program, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Alexander Y Rudensky
- Howard Hughes Medical Institute and Immunology Program at Sloan Kettering Institute, and Ludwig Center for Cancer Immunotherapy, Memorial Sloan Kettering Cancer Center, New York, NY
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48
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Azizi E, Naji M, Nazari L, Salehpour S, Karimi M, Borumandnia N, Shams Mofarahe Z. Serum anti-Müllerian hormone is associated with oocyte dysmorphisms and ICSI outcomes. Int J Gynaecol Obstet 2019; 147:179-186. [PMID: 31420879 DOI: 10.1002/ijgo.12941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 06/25/2019] [Accepted: 08/14/2019] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To evaluate the association between serum levels of anti-Müllerian hormone (AMH) and oocyte dysmorphisms in intracytoplasmic sperm injection (ICSI) cycles. METHODS A retrospective study of data from 628 ICSI cycles with successful oocyte retrieval carried out at a single center in Tehran from November 2015 to July 2018. Cycles were divided into six groups by serum AMH level. Various oocyte dysmorphisms, quantity of retrieved oocytes, fertilization rates, cleavage-stage embryos, and pregnancy rates were compared among the groups. RESULTS Serum AMH was associated with cytoplasm granulation, abnormally amorphous oocytes (P˂0.01), extended perivitelline space (P˂0.001), granulated perivitelline space (P˂0.05), fragmented polar body (P˂0.001), and average of oocyte quality index (AOQI) (P˂0.01). The total number of aspirated and metaphase ΙΙ oocytes increased with increasing AMH levels (P<0.001). There was no difference in the rate of fertilization or cleavage-stage embryos among the study groups; however, the pregnancy rate differed significantly (P<0.05). CONCLUSIONS Serum levels of AMH were associated with specific oocyte dysmorphisms and AOQI. Serum AMH levels might influence both qualitative and quantitative aspects of the ovarian response to stimulation and also the pregnancy rate in ICSI cycles.
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Affiliation(s)
- Elham Azizi
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Naji
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Leila Nazari
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center (PGRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saghar Salehpour
- Department of Obstetrics and Gynecology, Preventative Gynecology Research Center (PGRC), Shahid Beheshti University of Medical Sciences, Tehran, Iran.,IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Karimi
- IVF Center, Taleghani Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Borumandnia
- Urology and Nephrology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Shams Mofarahe
- Department of Biology and Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Taleghani Hospital Research Development Unit, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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49
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Longo SJ, Cox SM, Azizi E, Ilton M, Olberding JP, St Pierre R, Patek SN. Beyond power amplification: latch-mediated spring actuation is an emerging framework for the study of diverse elastic systems. ACTA ACUST UNITED AC 2019; 222:222/15/jeb197889. [PMID: 31399509 DOI: 10.1242/jeb.197889] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [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: 12/11/2022]
Abstract
Rapid biological movements, such as the extraordinary strikes of mantis shrimp and accelerations of jumping insects, have captivated generations of scientists and engineers. These organisms store energy in elastic structures (e.g. springs) and then rapidly release it using latches, such that movement is driven by the rapid conversion of stored elastic to kinetic energy using springs, with the dynamics of this conversion mediated by latches. Initially drawn to these systems by an interest in the muscle power limits of small jumping insects, biologists established the idea of power amplification, which refers both to a measurement technique and to a conceptual framework defined by the mechanical power output of a system exceeding muscle limits. However, the field of fast elastically driven movements has expanded to encompass diverse biological and synthetic systems that do not have muscles - such as the surface tension catapults of fungal spores and launches of plant seeds. Furthermore, while latches have been recognized as an essential part of many elastic systems, their role in mediating the storage and release of elastic energy from the spring is only now being elucidated. Here, we critically examine the metrics and concepts of power amplification and encourage a framework centered on latch-mediated spring actuation (LaMSA). We emphasize approaches and metrics of LaMSA systems that will forge a pathway toward a principled, interdisciplinary field.
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Affiliation(s)
- S J Longo
- Department of Biology, Duke University, Durham, NC 27708, USA
| | - S M Cox
- Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA
| | - E Azizi
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA 92697, USA
| | - M Ilton
- Department of Physics, Harvey Mudd College, Claremont, CA 91711, USA
| | - J P Olberding
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, CA 92697, USA
| | - R St Pierre
- Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA
| | - S N Patek
- Department of Biology, Duke University, Durham, NC 27708, USA
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50
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Edmondson DA, Ma RE, Yeh CL, Ward E, Snyder S, Azizi E, Zauber SE, Wells EM, Dydak U. Reversibility of neuroimaging markers influenced by lifetime occupational manganese exposure. Toxicol Sci 2019; 172:181-190. [PMID: 31388678 PMCID: PMC6813746 DOI: 10.1093/toxsci/kfz174] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 05/24/2019] [Accepted: 07/08/2019] [Indexed: 11/13/2022] Open
Abstract
Manganese (Mn) is a neurotoxicant that many workers are exposed to daily. There is limited knowledge about how changes in exposure levels impact measures in magnetic resonance imaging (MRI). We hypothesized that changes in Mn exposure would be reflected by changes in the MRI relaxation rate R1 and thalamic γ-aminobutyric acid (GABAThal). As part of a prospective cohort study, 17 welders were recruited and imaged on two separate occasions approximately two years apart. MRI relaxometry was used to assess changes of Mn accumulation in the brain. Additionally, GABA was measured using magnetic resonance spectroscopy (MRS) in the thalamic and striatal regions of the brain. Air Mn exposure ([Mn]Air) and cumulative exposure indexes of Mn (Mn-CEI) for the past three months (Mn-CEI3M), past year (Mn-CEI12M), and lifetime (Mn-CEILife) were calculated using personal air sampling and a comprehensive work history, while toenails were collected for analysis of internal Mn body burden. Finally, welders' motor function was examined using the Unified Parkinson's Disease Rating Scale (UPDRS). Median exposure decreased for all exposure measures between the first and second scan. ΔGABAThal was significantly correlated with ΔMn-CEI3M (ρ = 0.66, adjusted p = 0.02), ΔMn-CEI12M (ρ = 0.70, adjusted p = 0.006) , and Δ[Mn]Air (ρ = 0.77, adjusted p = 0.002). ΔGABAThal significantly decreased linearly with ΔMn-CEI3M (quantile regression, β = 15.22, p = 0.02) as well as Δ[Mn]Air (β = 1.27, p = 0.04). Finally, Mn-CEILife interacted with Δ[Mn]Air in the substantia nigra where higher Mn-CEILife lessened the ΔR1 per Δ[Mn]Air (F-test, p = 0.005). While R1 and GABA changed with Mn exposure, UPDRS was unaffected. In conclusion, our study shows that effects from changes in Mn exposure are reflected in thalamic GABA levels and brain Mn levels, as measured by R1, in most brain regions.
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Affiliation(s)
- David A Edmondson
- School of Health Sciences, Purdue University, West Lafayette, IN.,Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
| | - Ruoyun E Ma
- School of Health Sciences, Purdue University, West Lafayette, IN.,Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN.,Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN
| | - Chien-Lin Yeh
- School of Health Sciences, Purdue University, West Lafayette, IN.,Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
| | - Eric Ward
- School of Health Sciences, Purdue University, West Lafayette, IN
| | - Sandy Snyder
- School of Health Sciences, Purdue University, West Lafayette, IN
| | - Elham Azizi
- Department of Neurology, Ochsner Medical Center, Kenner, LA
| | - S Elizabeth Zauber
- Department of Neurology, Indiana University School of Medicine, Indianapolis, IN
| | - Ellen M Wells
- School of Health Sciences, Purdue University, West Lafayette, IN.,Public Health Graduate Program, Purdue University, West Lafayette, IN
| | - Ulrike Dydak
- School of Health Sciences, Purdue University, West Lafayette, IN.,Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN
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