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Jonas R, Ahmad K, Crabtree T, Investigators I, Budoff M, Earls J, Min J, Choi A. Acute Coronary Syndromes In Patients With Zero Coronary Calcium: ICONIC Trial Analysis. J Cardiovasc Comput Tomogr 2021. [DOI: 10.1016/j.jcct.2021.06.263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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To C, Krause E, Rozo E, Wu H, Gruen D, Wechsler RH, Eifler TF, Rykoff ES, Costanzi M, Becker MR, Bernstein GM, Blazek J, Bocquet S, Bridle SL, Cawthon R, Choi A, Crocce M, Davis C, DeRose J, Drlica-Wagner A, Elvin-Poole J, Fang X, Farahi A, Friedrich O, Gatti M, Gaztanaga E, Giannantonio T, Hartley WG, Hoyle B, Jarvis M, MacCrann N, McClintock T, Miranda V, Pereira MES, Park Y, Porredon A, Prat J, Rau MM, Ross AJ, Samuroff S, Sánchez C, Sevilla-Noarbe I, Sheldon E, Troxel MA, Varga TN, Vielzeuf P, Zhang Y, Zuntz J, Abbott TMC, Aguena M, Amon A, Annis J, Avila S, Bertin E, Bhargava S, Brooks D, Burke DL, Carnero Rosell A, Carrasco Kind M, Carretero J, Chang C, Conselice C, da Costa LN, Davis TM, Desai S, Diehl HT, Dietrich JP, Everett S, Evrard AE, Ferrero I, Flaugher B, Fosalba P, Frieman J, García-Bellido J, Gruendl RA, Gutierrez G, Hinton SR, Hollowood DL, Honscheid K, Huterer D, James DJ, Jeltema T, Kron R, Kuehn K, Kuropatkin N, Lima M, Maia MAG, Marshall JL, Menanteau F, Miquel R, Morgan R, Muir J, Myles J, Palmese A, Paz-Chinchón F, Plazas AA, Romer AK, Roodman A, Sanchez E, Santiago B, Scarpine V, Serrano S, Smith M, Suchyta E, Swanson MEC, Tarle G, Thomas D, Tucker DL, Weller J, Wester W, Wilkinson RD. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations. PHYSICAL REVIEW LETTERS 2021; 126:141301. [PMID: 33891448 DOI: 10.1103/physrevlett.126.141301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 01/07/2021] [Accepted: 02/23/2021] [Indexed: 06/12/2023]
Abstract
We present the first joint analysis of cluster abundances and auto or cross-correlations of three cosmic tracer fields: galaxy density, weak gravitational lensing shear, and cluster density split by optical richness. From a joint analysis (4×2pt+N) of cluster abundances, three cluster cross-correlations, and the auto correlations of the galaxy density measured from the first year data of the Dark Energy Survey, we obtain Ω_{m}=0.305_{-0.038}^{+0.055} and σ_{8}=0.783_{-0.054}^{+0.064}. This result is consistent with constraints from the DES-Y1 galaxy clustering and weak lensing two-point correlation functions for the flat νΛCDM model. Consequently, we combine cluster abundances and all two-point correlations from across all three cosmic tracer fields (6×2pt+N) and find improved constraints on cosmological parameters as well as on the cluster observable-mass scaling relation. This analysis is an important advance in both optical cluster cosmology and multiprobe analyses of upcoming wide imaging surveys.
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Costanzi M, Saro A, Bocquet S, Abbott T, Aguena M, Allam S, Amara A, Annis J, Avila S, Bacon D, Benson B, Bhargava S, Brooks D, Buckley-Geer E, Burke D, Carnero Rosell A, Carrasco Kind M, Carretero J, Choi A, da Costa L, Pereira M, De Vicente J, Desai S, Diehl H, Dietrich J, Doel P, Eifler T, Everett S, Ferrero I, Ferté A, Flaugher B, Fosalba P, Frieman J, García-Bellido J, Gaztanaga E, Gerdes D, Giannantonio T, Giles P, Grandis S, Gruen D, Gruendl R, Gupta N, Gutierrez G, Hartley W, Hinton S, Hollowood D, Honscheid K, James D, Jeltema T, Krause E, Kuehn K, Kuropatkin N, Lahav O, Lima M, MacCrann N, Maia M, Marshall J, Menanteau F, Miquel R, Mohr J, Morgan R, Myles J, Ogando R, Palmese A, Paz-Chinchón F, Plazas A, Rapetti D, Reichardt C, Romer A, Roodman A, Ruppin F, Salvati L, Samuroff S, Sanchez E, Scarpine V, Serrano S, Sevilla-Noarbe I, Singh P, Smith M, Soares-Santos M, Stark A, Suchyta E, Swanson M, Tarle G, Thomas D, To C, Tucker D, Varga T, Wechsler R, Zhang Z. Cosmological constraints from DES Y1 cluster abundances and SPT multiwavelength data. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.043522] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Muir J, Baxter E, Miranda V, Doux C, Ferté A, Leonard C, Huterer D, Jain B, Lemos P, Raveri M, Nadathur S, Campos A, Chen A, Dodelson S, Elvin-Poole J, Lee S, Secco L, Troxel M, Weaverdyck N, Zuntz J, Brout D, Choi A, Crocce M, Davis T, Gruen D, Krause E, Lidman C, MacCrann N, Möller A, Prat J, Ross A, Sako M, Samuroff S, Sánchez C, Scolnic D, Zhang B, Abbott T, Aguena M, Allam S, Annis J, Avila S, Bacon D, Bertin E, Bhargava S, Bridle S, Brooks D, Burke D, Carnero Rosell A, Carrasco Kind M, Carretero J, Cawthon R, Costanzi M, da Costa L, Pereira M, Desai S, Diehl H, Dietrich J, Doel P, Estrada J, Everett S, Evrard A, Ferrero I, Flaugher B, Frieman J, García-Bellido J, Giannantonio T, Gruendl R, Gschwend J, Gutierrez G, Hinton S, Hollowood D, Honscheid K, Hoyle B, James D, Jeltema T, Kuehn K, Kuropatkin N, Lahav O, Lima M, Maia M, Menanteau F, Miquel R, Morgan R, Myles J, Palmese A, Paz-Chinchón F, Plazas A, Romer A, Roodman A, Sanchez E, Scarpine V, Serrano S, Sevilla-Noarbe I, Smith M, Suchyta E, Swanson M, Tarle G, Thomas D, To C, Tucker D, Varga T, Weller J, Wilkinson R. DES Y1 results: Splitting growth and geometry to test
ΛCDM. Int J Clin Exp Med 2021. [DOI: 10.1103/physrevd.103.023528] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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O'Sullivan P, Younger J, Van Pelt N, O'Malley S, Lenturut-Katal D, Hirschfeld C, Vitola J, Cerci R, Williams M, Shaw L, Raggi P, Villines T, Dorbala S, Choi A, Cohen Y, Goebel B, Malkovskiy E, Randazzo M, Pascual T, Pynda Y, Dondi M, Paez D, Einstein A, Better N. Impact of COVID-19 Pandemic on Diagnostic Cardiac Procedural Volume in Oceania: The IAEA Non-invasive Cardiology Protocol Survey on COVID-19. Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Cheng A, Yip E, Tsang J, Chan P, Choi A, Yiu B, Kam J, Young G, So K, Zuo Z, Cheung Y, Zhou K, Lam T. PCN10 ORAL H2RA for Taxane Hypersensitivity Prevention: A Pharmacokinetic-Guided Decision. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Abbott T, Aguena M, Alarcon A, Allam S, Allen S, Annis J, Avila S, Bacon D, Bechtol K, Bermeo A, Bernstein G, Bertin E, Bhargava S, Bocquet S, Brooks D, Brout D, Buckley-Geer E, Burke D, Carnero Rosell A, Carrasco Kind M, Carretero J, Castander F, Cawthon R, Chang C, Chen X, Choi A, Costanzi M, Crocce M, da Costa L, Davis T, De Vicente J, DeRose J, Desai S, Diehl H, Dietrich J, Dodelson S, Doel P, Drlica-Wagner A, Eckert K, Eifler T, Elvin-Poole J, Estrada J, Everett S, Evrard A, Farahi A, Ferrero I, Flaugher B, Fosalba P, Frieman J, García-Bellido J, Gatti M, Gaztanaga E, Gerdes D, Giannantonio T, Giles P, Grandis S, Gruen D, Gruendl R, Gschwend J, Gutierrez G, Hartley W, Hinton S, Hollowood D, Honscheid K, Hoyle B, Huterer D, James D, Jarvis M, Jeltema T, Johnson M, Johnson M, Kent S, Krause E, Kron R, Kuehn K, Kuropatkin N, Lahav O, Li T, Lidman C, Lima M, Lin H, MacCrann N, Maia M, Mantz A, Marshall J, Martini P, Mayers J, Melchior P, Mena-Fernández J, Menanteau F, Miquel R, Mohr J, Nichol R, Nord B, Ogando R, Palmese A, Paz-Chinchón F, Plazas A, Prat J, Rau M, Romer A, Roodman A, Rooney P, Rozo E, Rykoff E, Sako M, Samuroff S, Sánchez C, Sanchez E, Saro A, Scarpine V, Schubnell M, Scolnic D, Serrano S, Sevilla-Noarbe I, Sheldon E, Smith J, Smith M, Suchyta E, Swanson M, Tarle G, Thomas D, To C, Troxel M, Tucker D, Varga T, von der Linden A, Walker A, Wechsler R, Weller J, Wilkinson R, Wu H, Yanny B, Zhang Y, Zhang Z, Zuntz J. Dark Energy Survey Year 1 Results: Cosmological constraints from cluster abundances and weak lensing. Int J Clin Exp Med 2020. [DOI: 10.1103/physrevd.102.023509] [Citation(s) in RCA: 98] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Kumar V, Achmyeleh F, DoCampo J, Krepp J, Nagy C, Mazhari R, Lichtenberger J, Zeman R, Earls J, Reiner J, Choi A. Evaluability And Accuracy Of CCTA For Coronary Artery Disease In Low-intermediate Surgical Risk TAVR Patients. J Cardiovasc Comput Tomogr 2020. [DOI: 10.1016/j.jcct.2020.06.194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Choi A, Marques H, Kumar V, Griffin W, Lichtenberger J, Zeman R, Katz R, Earls J. Automated Artificial Intelligence Based Interpretation Of Coronary CTA: Plaque Volume, Plaque Characterization And High Risk Plaque Compared With Consensus Of Level III Expert Readers. J Cardiovasc Comput Tomogr 2020. [DOI: 10.1016/j.jcct.2020.06.021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Choi A, Marques H, Kumar V, Griffin W, Lichtenberger J, Zeman R, Katz R, Earls J. Automated Artificial Intelligence-based Interpretation Of Coronary CTA: Determination Of Stenosis Severity Compared With Level III Expert Readers. J Cardiovasc Comput Tomogr 2020. [DOI: 10.1016/j.jcct.2020.06.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Madan N, Gannon M, Gupta S, Weir-McCall J, Kumar A, Nagpal P, Fentanes E, Lee J, Choi A, Nicol E. Contemporary Description Of Cardiovascular Computed Tomography Training And Clinical Utilization: A Survey By SCCT-FiRST Committee. J Cardiovasc Comput Tomogr 2020. [DOI: 10.1016/j.jcct.2020.06.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Ammazzalorso S, Gruen D, Regis M, Camera S, Ando S, Fornengo N, Bechtol K, Bridle SL, Choi A, Eifler TF, Gatti M, MacCrann N, Omori Y, Samuroff S, Sheldon E, Troxel MA, Zuntz J, Carrasco Kind M, Annis J, Avila S, Bertin E, Brooks D, Burke DL, Carnero Rosell A, Carretero J, Castander FJ, Costanzi M, da Costa LN, De Vicente J, Desai S, Diehl HT, Dietrich JP, Doel P, Everett S, Flaugher B, Fosalba P, García-Bellido J, Gaztanaga E, Gerdes DW, Giannantonio T, Goldstein DA, Gruendl RA, Gutierrez G, Hollowood DL, Honscheid K, James DJ, Jarvis M, Jeltema T, Kent S, Kuropatkin N, Lahav O, Li TS, Lima M, Maia MAG, Marshall JL, Melchior P, Menanteau F, Miquel R, Ogando RLC, Palmese A, Plazas AA, Romer AK, Roodman A, Rykoff ES, Sánchez C, Sanchez E, Scarpine V, Serrano S, Sevilla-Noarbe I, Smith M, Soares-Santos M, Sobreira F, Suchyta E, Swanson MEC, Tarle G, Thomas D, Vikram V, Zhang Y. Detection of Cross-Correlation between Gravitational Lensing and γ Rays. PHYSICAL REVIEW LETTERS 2020; 124:101102. [PMID: 32216401 DOI: 10.1103/physrevlett.124.101102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2019] [Revised: 12/14/2019] [Accepted: 01/13/2020] [Indexed: 06/10/2023]
Abstract
In recent years, many γ-ray sources have been identified, yet the unresolved component hosts valuable information on the faintest emission. In order to extract it, a cross-correlation with gravitational tracers of matter in the Universe has been shown to be a promising tool. We report here the first identification of a cross-correlation signal between γ rays and the distribution of mass in the Universe probed by weak gravitational lensing. We use data from the Dark Energy Survey Y1 weak lensing data and the Fermi Large Area Telescope 9-yr γ-ray data, obtaining a signal-to-noise ratio of 5.3. The signal is mostly localized at small angular scales and high γ-ray energies, with a hint of correlation at extended separation. Blazar emission is likely the origin of the small-scale effect. We investigate implications of the large-scale component in terms of astrophysical sources and particle dark matter emission.
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Omori Y, Baxter E, Chang C, Kirk D, Alarcon A, Bernstein G, Bleem L, Cawthon R, Choi A, Chown R, Crawford T, Davis C, De Vicente J, DeRose J, Dodelson S, Eifler T, Fosalba P, Friedrich O, Gatti M, Gaztanaga E, Giannantonio T, Gruen D, Hartley W, Holder G, Hoyle B, Huterer D, Jain B, Jarvis M, Krause E, MacCrann N, Miquel R, Prat J, Rau M, Reichardt C, Rozo E, Samuroff S, Sánchez C, Secco L, Sheldon E, Simard G, Troxel M, Vielzeuf P, Wechsler R, Zuntz J, Abbott T, Abdalla F, Allam S, Annis J, Avila S, Aylor K, Benson B, Bertin E, Bridle S, Brooks D, Burke D, Carlstrom J, Carnero Rosell A, Carrasco Kind M, Carretero J, Castander F, Chang C, Cho HM, Crites A, Crocce M, Cunha C, da Costa L, de Haan T, Desai S, Diehl H, Dietrich J, Dobbs M, Everett W, Fernandez E, Flaugher B, Frieman J, García-Bellido J, George E, Gruendl R, Gutierrez G, Halverson N, Harrington N, Hollowood D, Honscheid K, Holzapfel W, Hou Z, Hrubes J, James D, Jeltema T, Kuehn K, Kuropatkin N, Lima M, Lin H, Lee A, Leitch E, Luong-Van D, Maia M, Manzotti A, Marrone D, Marshall J, Martini P, McMahon J, Melchior P, Menanteau F, Meyer S, Mocanu L, Mohr J, Natoli T, Ogando R, Padin S, Plazas A, Pryke C, Romer A, Roodman A, Ruhl J, Rykoff E, Sanchez E, Scarpine V, Schaffer K, Schindler R, Sevilla-Noarbe I, Shirokoff E, Smith M, Smith R, Soares-Santos M, Sobreira F, Staniszewski Z, Stark A, Story K, Suchyta E, Swanson M, Tarle G, Thomas D, Vanderlinde K, Vieira J, Vikram V, Walker A, Weller J, Williamson R, Wu W, Zahn O. Dark Energy Survey Year 1 Results: Cross-correlation between Dark Energy Survey Y1 galaxy weak lensing and South Pole Telescope
+Planck
CMB weak lensing. Int J Clin Exp Med 2019. [DOI: 10.1103/physrevd.100.043517] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Jawitz O, Raman V, Barac Y, Mulvihill M, Moore C, Choi A, Hartwig M, Klapper J. Time from Lung Transplant Donor Brain Death to Cross Clamp: An Analysis of the UNOS Registry. J Heart Lung Transplant 2019. [DOI: 10.1016/j.healun.2019.01.459] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Kim WY, Nam SA, Choi A, Kim YM, Park SH, Kim HL, Kim H, Han KH, Yang CW, Lee MS, Kim YK, Kim J. Atg7-dependent canonical autophagy regulates the degradation of aquaporin 2 in prolonged hypokalemia. Sci Rep 2019; 9:3021. [PMID: 30816234 PMCID: PMC6395725 DOI: 10.1038/s41598-019-39702-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 11/23/2018] [Indexed: 01/31/2023] Open
Abstract
Prolonged hypokalemia induces a decrease of urinary concentrating ability via down-regulation of aquaporin 2 (AQP2); however, the precise mechanisms remain unknown. To investigate the role of autophagy in the degradation of AQP2, we generated the principal cell-specific Atg7 deletion (Atg7Δpc) mice. In hypokalemic Atg7-floxed (Atg7f/f) mice, huge irregular shaped LC3-positive autophagic vacuoles accumulated mainly in inner medullary collecting duct (IMCD) cells. Total- and pS261-AQP2 were redistributed from apical and subapical domains into these vacuoles, which were not co-localized with RAB9. However, in the IMCD cells of hypokalemic Atg7Δpc mice, these canonical autophagic vacuoles were markedly reduced, whereas numerous small regular shaped LC3-negative/RAB9-positive non-canonical autophagic vacuoles were observed along with diffusely distributed total- and pS261-AQP2 in the cytoplasm. The immunoreactivity of pS256-AQP2 in the apical membrane of IMCD cells was markedly decreased, and no redistribution was observed in both hypokalemic Atg7f/f and Atg7Δpc mice. These findings suggest that AQP2 down regulation in hypokalemia was induced by reduced phosphorylation of AQP2, resulting in a reduction of apical plasma labeling of pS256-AQP2 and degradation of total- and pS261-AQP2 via an LC3/ATG7-dependent canonical autophagy pathway.
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Bracho Pacheco A, Finkelman M, Choi A, Hinton D, Rich AP, Bagher SM, Loo CY. Effectiveness of an oral health education seminar for paediatric and family medicine residents. EUROPEAN JOURNAL OF PAEDIATRIC DENTISTRY 2018; 19:221-225. [PMID: 30063155 DOI: 10.23804/ejpd.2018.19.03.10] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
AIM To assess the immediate effect of a 60-minute oral health educational seminar for paediatric and family medicine residents in improving their knowledge, attitude, likelihoodtowards incorporating oral health preventive practice in their current practices to well-child visits, and confidence in identifying and referring patients with dental trauma. MATERIALS AND METHODS Baseline pre- and post-test design was used to evaluate the immediate effect of a 60-minute PowerPoint oral health educational seminar given to the paediatric and family medicine residents. STATISTICS Multiple-choice items were used and the pre- and post-test data were analysed with McNemar and Wilcoxon signed-rank tests. A p-value <0.05 was considered statistically significant. RESULTS Sixty-eight residents participated in the oral health educational seminar and completed the questionnaire. The mean age of participants was 29.9 years old (SD ±4.8 yrs.). Immediately following a 60-minute oral health educational seminar, there was an overall significant increase in participants' knowledge, attitudes and likelihood towards incorporating oral health preventive practice in their current practices to well-child visits (p<0.05). More confidence in identifying and referring patients with dental trauma was reported by 100% of participants. CONCLUSIONS A 60-minute oral health educational seminar was effective in improving paediatric and family medicine residents' immediate knowledge, attitude, and likelihood towards incorporating oral health preventive practice in their current practices to well-child visits. Significantly more residents felt more confident in identifying and referring patients with dental trauma. Key messages: an oral health educational seminar can be effective in improving paediatric and family medicine residents' immediate knowledge, attitude, and likelihood towards incorporating oral health preventive practice in their current practices to well-child visits.
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Choi A, Nam SA, Kim WY, Park SH, Kim H, Yang CW, Kim J, Kim YK. Notch signaling in the collecting duct regulates renal tubulointerstitial fibrosis induced by unilateral ureteral obstruction in mice. Korean J Intern Med 2018; 33:774-782. [PMID: 28602064 PMCID: PMC6030409 DOI: 10.3904/kjim.2016.230] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Accepted: 09/24/2016] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND/AIMS Mind bomb-1 (Mib1) encodes an E3 ubiquitin ligase, which is required for the initiation of Notch signaling. Recently, it was demonstrated that the renal collecting duct plays an important role in renal fibrosis. Here, we investigated the role of Notch signaling in renal fibrosis using conditional knockout mice with the specific ablation of Mib1 in renal collecting duct principal cells. METHODS Mib1-floxed mice (Mib1f/f) were crossed with aquaporin 2 (AQP2)-Cre mice in order to generate principal cell-specific Mib1 knockout mice (Mib1f/f :AQP2-Cre+). Unilateral ureteral obstruction (UUO) was performed, and mice were sacrificed 7 days after UUO. RESULTS After performing the UUO, renal tubulointerstitial fibrosis and the expression of transforming growth factor β were markedly enhanced in the obstructed kidneys of Mib1f/f mice compared with the sham-operated kidney of Mib1f/f mice. These changes were shown to be even more pronounced in the obstructed kidneys of Mib1f/f :AQP2-Cre+ mice than in those of the Mib1f/f mice . Furthermore, the number of TUNNEL-positive cells in renal collecting duct was higher in the obstructed kidneys of Mib1f/f :AQP2-Cre+ mice than in the kidneys of Mib1f/f mice. CONCLUSIONS Notch signaling in the renal collecting duct plays an important role in the regulation of renal tubulointerstitial fibrosis and apoptosis after UUO.
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Choi B, Ryu D, Kim CI, Lee JY, Choi A, Koh E. Probabilistic dietary exposure to ethyl carbamate from fermented foods and alcoholic beverages in the Korean population. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2017; 34:1885-1892. [PMID: 28783003 DOI: 10.1080/19440049.2017.1364433] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
The occurrence of ethyl carbamate was investigated in fermented foods and alcoholic beverages of the Korean total diet study. The concentrations of ethyl carbamate ranged from not detected to 166.5 μg kg-1. Dietary exposure to ethyl carbamate was estimated by the probabilistic method. Estimated intakes of ethyl carbamate from foods and alcoholic beverages were 4.12 ng kg-1 body weight (bw) per day for average consumers and 12.37 ng kg-1 bw/day for 95th percentile high consumers. The major foods contributing to ethyl carbamate exposure were soy sauce (63%), followed by maesilju (plum liqueur, 30%), whisky (5%), and bokbunjaju (black raspberry wine, 2%). On the basis of the benchmark dose lower confidence limit 10% (BMDL10) of 0.3 mg kg-1 bw/day, margins of exposure were 128,000 for mean exposure and 40,000 for 95th percentile exposure. This indicates that the exposure of the Korean general population for ethyl carbamate is of low concern. However, careful vigilance should be continued for high consumers of fermented foods and alcoholic beverages.
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Mohapatra S, Choi A, Braun K, Murphy E, Chao S, Suh J, Stevens G, Peereboom D, Xuefei J, Ahluwalia MS. P09.05 Treatment outcomes in young patients with glioblastoma: the Cleveland Clinic experience. Neuro Oncol 2017. [DOI: 10.1093/neuonc/nox036.263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Choi A, Shin H. Photoplethysmography sampling frequency: pilot assessment of how low can we go to analyze pulse rate variability with reliability? Physiol Meas 2017; 38:586-600. [PMID: 28169836 DOI: 10.1088/1361-6579/aa5efa] [Citation(s) in RCA: 68] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Pulse rate variability (PRV) analysis appears as the first alternative to heart rate variability analysis for wearable devices; however, there is a constraint on computational load and energy consumption for the limited system resources available to the devices. Considering that adjustment of the sampling frequency is one of the strategies for reducing computational load and power consumption, this study aimed to investigate the influence of sampling frequency (f s) on PRV analysis and to find the minimum sampling frequency while maintaining reliability. We generated 5000, 2500, 1000, 500, 250, 100, 50, 25, 20, 15, 10, 5 Hz down-sampled photoplethysmograms from 10 kHz-sampled PPGs and derived time- and frequency-domain variables of the PRV. These included AVNN, SDNN, SDSD, RMSSD, NN50, pNN50, total power, VLF, LF, HF, LF/HF, nLF and nHF for each down-sampled signal. Derived variables were compared with heart rate variability of the 10 kHz-sampled electrocardiograms, and then statistically investigated using one-way ANOVA test and Bland-Altman analysis. As a result, significant differences (P < 0.05) were found for SDNN, SDSD, RMSSD, NN50, pNN50, TP, HF, LF/HF, nLF and nHF, but not for AVNN, VLF and LF. Based on the post hoc tests, it was found that the NN50 and pNN50, SDSD and RMSSD, LF/HF and nHF, SDNN, TP and nLF analysis had significant differences at f s ⩽ 20 Hz, f s ⩽ 15 Hz, f s ⩽10 Hz; f s = 5 Hz, respectively. In other words, a significant difference was not seen for any variable if the f s was greater than 25 Hz. Consequently, our pilot study suggests that analysis of variability in the time and frequency domain from pulse rate obtained through PPG may be potentially as reliable as that derived from the analysis of the electrocardiogram, provided that f s ⩾25 Hz sampling frequency is used.
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Aparicio JG, Hopp H, Choi A, Mandayam Comar J, Liao VC, Harutyunyan N, Lee TC. Temporal expression of CD184(CXCR4) and CD171(L1CAM) identifies distinct early developmental stages of human retinal ganglion cells in embryonic stem cell derived retina. Exp Eye Res 2017; 154:177-189. [PMID: 27867005 PMCID: PMC5359064 DOI: 10.1016/j.exer.2016.11.013] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 08/29/2016] [Accepted: 11/14/2016] [Indexed: 12/29/2022]
Abstract
Human retinal ganglion cells (RGCs) derived from pluripotent stem cells (PSCs) have anticipated value for human disease study, drug screening, and therapeutic applications; however, their full potential remains underdeveloped. To characterize RGCs in human embryonic stem cell (hESC) derived retinal organoids we examined RGC markers and surface antigen expression and made comparisons to human fetal retina. RGCs in both tissues exhibited CD184 and CD171 expression and distinct expression patterns of the RGC markers BRN3 and RBPMS. The retinal progenitor cells (RPCs) of retinal organoids expressed CD184, consistent with its expression in the neuroblastic layer in fetal retina. In retinal organoids CD184 expression was enhanced in RGC competent RPCs and high CD184 expression was retained on post-mitotic RGC precursors; CD171 was detected on maturing RGCs. The differential expression timing of CD184 and CD171 permits identification and enrichment of RGCs from retinal organoids at differing maturation states from committed progenitors to differentiating neurons. These observations will facilitate molecular characterization of PSC-derived RGCs during differentiation, critical knowledge for establishing the veracity of these in vitro produced cells. Furthermore, observations made in the retinal organoid model closely parallel those in human fetal retina further validating use of retinal organoid to model early retinal development.
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Kim WY, Lee HW, Han KH, Nam SA, Choi A, Kim YK, Kim J. Descending thin limb of the intermediate loop expresses both aquaporin 1 and urea transporter A2 in the mouse kidney. Histochem Cell Biol 2016; 146:1-12. [PMID: 27091563 DOI: 10.1007/s00418-016-1434-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/07/2016] [Indexed: 10/21/2022]
Abstract
A new intermediate type of Henle's loop has been reported that it extends into the inner medulla and turns within the first millimeter beyond the outer medulla. This study aimed to identify the descending thin limb (DTL) of the intermediate loop in the adult C57Bl/6 mouse kidney using aquaporin 1 (AQP1) and urea transporter A2 (UT-A2) antibodies. In the upper part of the inner stripe of the outer medulla (ISOM), AQP1 was expressed strongly in the DTL with type II epithelium of the long loop, but not in type I epithelium of the short loop. The DTL of the intermediate loop exhibited weak AQP1 immunoreactivity. UT-A2 immunoreactivity was not observed in the upper part of any DTL type. AQP1 expression was similar in the upper and middle parts of the ISOM. UT-A2 expression was variable, being expressed strongly in the DTL with type I epithelium of the short loop, but not in type II epithelium of the long loop. In the innermost part of the ISOM, AQP1 was expressed only in type III epithelium of the long loop. UT-A2-positive and UT-A2-negative cells were intermingled in type I epithelium of the intermediate loop, but were not observed in type III epithelium of the long loop. UT-A2-positive DTLs of the intermediate loop extended into the UT-A2/AQP1-negative type I epithelium in the initial part of the inner medulla. These results demonstrate that the DTL of the intermediate loop is composed of type I epithelium and expresses both AQP1 and UT-A2. The functional role of the DTL of the intermediate loop may be distinct from the short or long loops.
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Kotrri G, Fusch G, Kwan C, Choi D, Choi A, Al Kafi N, Rochow N, Fusch C. Validation of Correction Algorithms for Near-IR Analysis of Human Milk in an Independent Sample Set-Effect of Pasteurization. Nutrients 2016; 8:119. [PMID: 26927169 PMCID: PMC4808849 DOI: 10.3390/nu8030119] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 02/02/2016] [Accepted: 02/14/2016] [Indexed: 11/25/2022] Open
Abstract
Commercial infrared (IR) milk analyzers are being increasingly used in research settings for the macronutrient measurement of breast milk (BM) prior to its target fortification. These devices, however, may not provide reliable measurement if not properly calibrated. In the current study, we tested a correction algorithm for a Near-IR milk analyzer (Unity SpectraStar, Brookfield, CT, USA) for fat and protein measurements, and examined the effect of pasteurization on the IR matrix and the stability of fat, protein, and lactose. Measurement values generated through Near-IR analysis were compared against those obtained through chemical reference methods to test the correction algorithm for the Near-IR milk analyzer. Macronutrient levels were compared between unpasteurized and pasteurized milk samples to determine the effect of pasteurization on macronutrient stability. The correction algorithm generated for our device was found to be valid for unpasteurized and pasteurized BM. Pasteurization had no effect on the macronutrient levels and the IR matrix of BM. These results show that fat and protein content can be accurately measured and monitored for unpasteurized and pasteurized BM. Of additional importance is the implication that donated human milk, generally low in protein content, has the potential to be target fortified.
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Choi A, Fusch G, Rochow N, Fusch C. Target Fortification of Breast Milk: Predicting the Final Osmolality of the Feeds. PLoS One 2016; 11:e0148941. [PMID: 26863130 PMCID: PMC4749227 DOI: 10.1371/journal.pone.0148941] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Accepted: 01/23/2016] [Indexed: 11/19/2022] Open
Abstract
For preterm infants, it is common practice to add human milk fortifiers to native breast milk to enhance protein and calorie supply because the growth rates and nutritional requirements of preterm infants are considerably higher than those of term infants. However, macronutrient intake may still be inadequate because the composition of native breast milk has individual inter- and intra-sample variation. Target fortification (TFO) of breast milk is a new nutritional regime aiming to reduce such variations by individually measuring and adding deficient macronutrients. Added TFO components contribute to the final osmolality of milk feeds. It is important to predict the final osmolality of TFO breast milk to ensure current osmolality recommendations are followed to minimize feeding intolerance and necrotizing enterocolitis. This study aims to develop and validate equations to predict the osmolality of TFO milk batches. To establish prediction models, the osmolalities of either native or supplemented breast milk with known amounts of fat, protein, and carbohydrates were analyzed. To validate prediction models, the osmolalities of each macronutrient and combinations of macronutrients were measured in an independent sample set. Additionally, osmolality was measured in TFO milk samples obtained from a previous clinical study and compared with predicted osmolality using the prediction equations. Following the addition of 1 g of carbohydrates (glucose polymer), 1 g of hydrolyzed protein, or 1 g of whey protein per 100 mL breast milk, the average increase in osmolality was 20, 38, and 4 mOsm/kg respectively. Adding fat decreased osmolality only marginally due to dilution effect. Measured and predicted osmolality of combinations of macronutrients as well as single macronutrient (R2 = 0.93) were highly correlated. Using clinical data (n = 696), the average difference between the measured and predicted osmolality was 3 ± 11 mOsm/kg and was not statistically significant. In conclusion, the prediction model can be utilized to estimate osmolality values after fortification.
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Fusch G, Rochow N, Choi A, Fusch S, Poeschl S, Ubah AO, Lee SY, Raja P, Fusch C. Rapid measurement of macronutrients in breast milk: How reliable are infrared milk analyzers? Clin Nutr 2014; 34:465-76. [PMID: 24912866 PMCID: PMC5050037 DOI: 10.1016/j.clnu.2014.05.005] [Citation(s) in RCA: 90] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2013] [Revised: 05/01/2014] [Accepted: 05/05/2014] [Indexed: 11/25/2022]
Abstract
BACKGROUND & AIMS Significant biological variation in macronutrient content of breast milk is an important barrier that needs to be overcome to meet nutritional needs of preterm infants. To analyze macronutrient content, commercial infrared milk analyzers have been proposed as efficient and practical tools in terms of efficiency and practicality. Since milk analyzers were originally developed for the dairy industry, they must be validated using a significant number of human milk samples that represent the broad range of variation in macronutrient content in preterm and term milk. Aim of this study was to validate two milk analyzers for breast milk analysis with reference methods and to determine an effective sample pretreatment. Current evidence for the influence of (i) aliquoting, (ii) storage time and (iii) temperature, and (iv) vessel wall adsorption on stability and availability of macronutrients in frozen breast milk is reviewed. METHODS Breast milk samples (n = 1188) were collected from 63 mothers of preterm and term infants. Milk analyzers: (A) Near-infrared milk analyzer (Unity SpectraStar, USA) and (B) Mid-infrared milk analyzer (Miris, Sweden) were compared to reference methods, e.g. ether extraction, elemental analysis, and UPLC-MS/MS for fat, protein, and lactose, respectively. RESULTS For fat analysis, (A) measured precisely but not accurately (y = 0.55x + 1.25, r(2) = 0.85), whereas (B) measured precisely and accurately (y = 0.93x + 0.18, r(2) = 0.86). For protein analysis, (A) was precise but not accurate (y = 0.55x + 0.54, r(2) = 0.67) while (B) was both precise and accurate (y = 0.78x + 0.05, r(2) = 0.73). For lactose analysis, both devices (A) and (B) showed two distinct concentration levels and measured therefore neither accurately nor precisely (y = 0.02x + 5.69, r(2) = 0.01 and y = -0.09x + 6.62, r(2) = 0.02 respectively). Macronutrient levels were unchanged in two independent samples of stored breast milk (-20 °C measured with IR; -80 °C measured with wet chemistry) over a period of 14 months. CONCLUSIONS Milk analyzers in the current configuration have the potential to be introduced in clinical routine to measure fat and protein content, but will need major adjustments.
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