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Lee T, Kim I, Kim J, Song C, Kim Y, Kim K, No J, Suh D, Chung J, Eom K. PO-1295 Stereotactic ablative body radiotherapy boost for cervical cancer when brachytherapy is not feasible. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07746-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Alkhalaf Z, Kim K, Kuhr DL, Radoc JG, Purdue-Smithe A, Pollack AZ, Yisahak SF, Silver RM, Thoma M, Kissell K, Perkins NJ, Sjaarda LA, Mumford SL. Markers of vitamin D metabolism and premenstrual symptoms in healthy women with regular cycles. Hum Reprod 2021; 36:1808-1820. [PMID: 33864070 DOI: 10.1093/humrep/deab089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 03/03/2021] [Indexed: 11/12/2022] Open
Abstract
STUDY QUESTION Are insufficient 25-hydroxyvitamin D (25(OH)D) concentrations, and other markers of vitamin D metabolism, associated with premenstrual symptoms in healthy women with regular menstrual cycles? SUMMARY ANSWER 25(OH)D insufficiency was associated with specific physical premenstrual symptoms, while no associations were observed with psychological symptoms or with other markers of vitamin D metabolism. WHAT IS KNOWN ALREADY Prior studies evaluating vitamin D and premenstrual symptoms have yielded mixed results, and it is unknown whether 25(OH)D insufficiency and other markers of vitamin D metabolism are associated with premenstrual symptoms. STUDY DESIGN, SIZE, DURATION We used two cohorts of women with regular menstrual cycles; 1191 women aged 18-40 years in EAGeR (cross-sectional analysis of a prospective cohort within a randomized trial) and 76 women aged 18-44 years in BioCycle (prospective cohort). In EAGeR, premenstrual symptoms over the previous year were assessed at baseline, whereas in BioCycle, symptoms were assessed prospectively at multiple points over two menstrual cycles with symptoms queried over the previous week. In both cohorts, symptomatology was assessed via questionnaire regarding presence and severity of 14 physical and psychological symptoms the week before and after menses. Both studies measured 25(OH)D in serum. We also evaluated the association of additional markers of vitamin D metabolism and calcium homeostasis, including intact parathyroid hormone (iPTH), calcium (Ca), fibroblast growth factor 23 (FGF23), and 1,25 dihydroxyvitamin D (1,25(OH)2D) with premenstrual symptoms in the BioCycle cohort. PARTICIPANTS/MATERIALS, SETTING, METHODS One cohort of women actively seeking pregnancy (Effects of Aspirin in Gestation and Reproduction (EAGeR)) and one cohort not seeking pregnancy (BioCycle) were evaluated. Log-binomial regression was used to estimate risk ratios (RR) and 95% CIs for associations between insufficient 25(OH)D (<30 ng/ml) and individual premenstrual symptoms, adjusting for age, BMI, race, smoking, income, physical activity, and season of blood draw. MAIN RESULTS AND THE ROLE OF CHANCE 25(OH)D insufficiency was associated with increased risk of breast fullness/tenderness (EAGeR RR 1.27, 95% CI 1.03, 1.55; BioCycle RR 1.37, 95% CI 0.56, 3.32) and generalized aches and pains (EAGeR RR 1.33, 95% CI 1.01, 1.78; BioCycle 1.36, 95% CI 0.41, 4.45), though results were imprecise in the BioCycle study. No associations were observed between insufficient 25(OH)D and psychological symptoms in either cohort. In BioCycle, iPTH, Ca, FGF23, and 1,25(OH) 2D were not associated with any premenstrual symptoms. LIMITATIONS, REASONS FOR CAUTION Results from the EAGeR study were limited by the study design, which assessed both 25(OH)D at baseline and individual premenstrual symptoms over the past year at the baseline. As such, reverse causality is a potential concern. Though premenstrual symptoms were assessed prospectively in the BioCycle cohort, the power was limited due to small sample size. However, results were fairly consistent across both studies. WIDER IMPLICATIONS OF THE FINDINGS Serum 25(OH)D may be associated with risk and severity of specific physical premenstrual symptoms. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland (Contract nos. HHSN267200603423, HHSN267200603424, and HHSN267200603426). JG.R. and D.L.K. have been funded by the NIH Medical Research Scholars Program, a public-private partnership jointly supported by the NIH and generous contributions to the Foundation for the NIH by the Doris Duke Charitable Foundation (Grant #2014194), the American Association for Dental Research, the Colgate Palmolive Company, Genentech, and other private donors. For a complete list, visit the foundation website at http://www.fnih.org. The authors have no conflicts of interest to disclose. TRIAL REGISTRATION NUMBER Clinicaltrials.gov NCT00467363.
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Ullah Z, Kim K, Venkanna A, Kim HS, Kim MI, Kim MH. Plausible Pnicogen Bonding of epi-Cinchonidine as a Chiral Scaffold in Catalysis. Front Chem 2021; 9:669515. [PMID: 34295874 PMCID: PMC8290064 DOI: 10.3389/fchem.2021.669515] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 06/10/2021] [Indexed: 12/11/2022] Open
Abstract
As a non-covalent interaction of a chiral scaffold in catalysis, pnicogen bonding of epi-cinchonidine (epi-CD), a cinchona alkaloid, was simulated to consider whether the interaction can have the potential controlling enantiotopic face like hydrogen bonding. Among five reactive functional groups in epi-CD, two stable complexes of the hydroxyl group (X-epi-CD1) at C17 and of the quinoline ring (X-epi-CD2) at N16 with pnictide family analytes [X = substituted phosphine (PX), i.e., F, Br, Cl, CF3, CN, HO, NO2, and CH3, and pnictide family analytes, i.e., PBr3, BiI3, SbI3, and AsI3] were predicted with intermolecular interaction energies, charge transfer (QMulliken and QNBO), and band gap energies of HOMO-LUMO (Eg) at the B3LYP/6-31G(d,p) level of density functional theory. It was found that the dominant site of pnicogen bonding in epi-CD is the quinoline ring (N16 atom) rather than the hydroxyl group (O36 atom). In addition, the UV-Vis spectra of the complex were calculated by time-dependent density functional theory (TD-DFT) at the B3LYP/6-31+G(d,p) level and compared with experimental measurements. Through these calculations, two intermolecular interactions (H-bond vs. pnicogen bond) of epi-CD were compared.
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Camacho‐Luna P, Andrews FM, Dehghanpir SD, Gaunt SD, Kim K, Wakamatsu N, Garcia H. Bicavitary effusion in a horse with multicentric lymphoma. EQUINE VET EDUC 2021. [DOI: 10.1111/eve.13256] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Khalid WB, Chen X, Kim K. Multifocus Thermal Strain Imaging Using a Curved Linear Array Transducer for Identification of Lipids in Deep Tissue. ULTRASOUND IN MEDICINE & BIOLOGY 2021; 47:1711-1724. [PMID: 33931283 DOI: 10.1016/j.ultrasmedbio.2021.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Revised: 02/28/2021] [Accepted: 03/10/2021] [Indexed: 06/12/2023]
Abstract
Thermal strain imaging (TSI) is an ultrasound-based imaging technique intended primarily for diseases in which lipid accumulation is the main biomarker. The goal of the research described here was to successfully implement TSI on a single, commercially available curved linear array transducer for heating and imaging of organs at a deeper depth. For an effective temperature rise of the tissue over a large area, which is key to TSI performance, an innovative multifocus beamforming approach was applied. This yielded a heating area from 32 to 96 mm in the axial direction and -7 to +7 mm in the lateral direction. The pressure fields generated from simulation were in agreement with pressure fields measured with the hydrophone. TSI with safe acoustic power identified with high contrast a rubber inclusion and liposuction fat tissue embedded in a gelatin block.
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Kikutsuji T, Kim K, Matubayasi N. Transition pathway of hydrogen bond switching in supercooled water analyzed by the Markov state model. J Chem Phys 2021; 154:234501. [PMID: 34241244 DOI: 10.1063/5.0055531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
In this work, we examine hydrogen-bond (H-bond) switching by employing the Markov State Model (MSM). During the H-bond switching, a water hydrogen initially H-bonded with water oxygen becomes H-bonded to a different water oxygen. MSM analysis was applied to trajectories generated from molecular dynamics simulations of the TIP4P/2005 model from a room-temperature state to a supercooled state. We defined four basis states to characterize the configuration between two water molecules: H-bonded ("H"), unbound ("U"), weakly H-bonded ("w"), and alternative H-bonded ("a") states. A 16 × 16 MSM matrix was constructed, describing the transition probability between states composed of three water molecules. The mean first-passage time of the H-bond switching was estimated by calculating the total flux from the HU to UH states. It is demonstrated that the temperature dependence of the mean first-passage time is in accordance with that of the H-bond lifetime determined from the H-bond correlation function. Furthermore, the flux for the H-bond switching is decomposed into individual pathways that are characterized by different forms of H-bond configurations of trimers. The dominant pathway of the H-bond switching is found to be a direct one without passing through such intermediate states as "w" and "a," the existence of which becomes evident in supercooled water. The pathway through "w" indicates a large reorientation of the donor molecule. In contrast, the pathway through "a" utilizes the tetrahedral H-bond network, which is revealed by the further decomposition based on the H-bond number of the acceptor molecule.
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Abbott R, Abbott TD, Abraham S, Acernese F, Ackley K, Adams A, Adams C, Adhikari RX, Adya VB, Affeldt C, Agarwal D, Agathos M, Agatsuma K, Aggarwal N, Aguiar OD, Aiello L, Ain A, Ajith P, Akutsu T, Aleman KM, Allen G, Allocca A, Altin PA, Amato A, Anand S, Ananyeva A, Anderson SB, Anderson WG, Ando M, Angelova SV, Ansoldi S, Antelis JM, Antier S, Appert S, Arai K, Arai K, Arai Y, Araki S, Araya A, Araya MC, Areeda JS, Arène M, Aritomi N, Arnaud N, Aronson SM, Asada H, Asali Y, Ashton G, Aso Y, Aston SM, Astone P, Aubin F, Auclair P, Aufmuth P, AultONeal K, Austin C, Babak S, Badaracco F, Bader MKM, Bae S, Bae Y, Baer AM, Bagnasco S, Bai Y, Baiotti L, Baird J, Bajpai R, Ball M, Ballardin G, Ballmer SW, Bals M, Balsamo A, Baltus G, Banagiri S, Bankar D, Bankar RS, Barayoga JC, Barbieri C, Barish BC, Barker D, Barneo P, Barnum S, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Bartlett J, Barton MA, Bartos I, Bassiri R, Basti A, Bawaj M, Bayley JC, Baylor AC, Bazzan M, Bécsy B, Bedakihale VM, Bejger M, Belahcene I, Benedetto V, Beniwal D, Benjamin MG, Bennett TF, Bentley JD, BenYaala M, Bergamin F, Berger BK, Bernuzzi S, Bersanetti D, Bertolini A, Betzwieser J, Bhandare R, Bhandari AV, Bhattacharjee D, Bhaumik S, Bidler J, Bilenko IA, Billingsley G, Birney R, Birnholtz O, Biscans S, Bischi M, Biscoveanu S, Bisht A, Biswas B, Bitossi M, Bizouard MA, Blackburn JK, Blackman J, Blair CD, Blair DG, Blair RM, Bobba F, Bode N, Boer M, Bogaert G, Boldrini M, Bondu F, Bonilla E, Bonnand R, Booker P, Boom BA, Bork R, Boschi V, Bose N, Bose S, Bossilkov V, Boudart V, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Bramley A, Branch A, Branchesi M, Breschi M, Briant T, Briggs JH, Brillet A, Brinkmann M, Brockill P, Brooks AF, Brooks J, Brown DD, Brunett S, Bruno G, Bruntz R, Bryant J, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buscicchio R, Buskulic D, Cadonati L, Caesar M, Cagnoli G, Cahillane C, Cain HW, Calderón Bustillo J, Callaghan JD, Callister TA, Calloni E, Camp JB, Canepa M, Cannavacciuolo M, Cannon KC, Cao H, Cao J, Cao Z, Capocasa E, Capote E, Carapella G, Carbognani F, Carlin JB, Carney MF, Carpinelli M, Carullo G, Carver TL, Casanueva Diaz J, Casentini C, Castaldi G, Caudill S, Cavaglià M, Cavalier F, Cavalieri R, Cella G, Cerdá-Durán P, Cesarini E, Chaibi W, Chakravarti K, Champion B, Chan CH, Chan C, Chan CL, Chan M, Chandra K, Chanial P, Chao S, Charlton P, Chase EA, Chassande-Mottin E, Chatterjee D, Chaturvedi M, Chatziioannou K, Chen A, Chen C, Chen HY, Chen J, Chen K, Chen X, Chen YB, Chen YR, Chen Z, Cheng H, Cheong CK, Cheung HY, Chia HY, Chiadini F, Chiang CY, Chierici R, Chincarini A, Chiofalo ML, Chiummo A, Cho G, Cho HS, Choate S, Choudhary RK, Choudhary S, Christensen N, Chu H, Chu Q, Chu YK, Chua S, Chung KW, Ciani G, Ciecielag P, Cieślar M, Cifaldi M, Ciobanu AA, Ciolfi R, Cipriano F, Cirone A, Clara F, Clark EN, Clark JA, Clarke L, Clearwater P, Clesse S, Cleva F, Coccia E, Cohadon PF, Cohen DE, Cohen L, Colleoni M, Collette CG, Colpi M, Compton CM, Constancio M, Conti L, Cooper SJ, Corban P, Corbitt TR, Cordero-Carrión I, Corezzi S, Corley KR, Cornish N, Corre D, Corsi A, Cortese S, Costa CA, Cotesta R, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Cousins B, Couvares P, Covas PB, Coward DM, Cowart MJ, Coyne DC, Coyne R, Creighton JDE, Creighton TD, Criswell AW, Croquette M, Crowder SG, Cudell JR, Cullen TJ, Cumming A, Cummings R, Cuoco E, Curyło M, Canton TD, Dálya G, Dana A, DaneshgaranBajastani LM, D'Angelo B, Danilishin SL, D'Antonio S, Danzmann K, Darsow-Fromm C, Dasgupta A, Datrier LEH, Dattilo V, Dave I, Davier M, Davies GS, Davis D, Daw EJ, Dean R, Deenadayalan M, Degallaix J, De Laurentis M, Deléglise S, Del Favero V, De Lillo F, De Lillo N, Del Pozzo W, DeMarchi LM, De Matteis F, D'Emilio V, Demos N, Dent T, Depasse A, De Pietri R, De Rosa R, De Rossi C, DeSalvo R, De Simone R, Dhurandhar S, Díaz MC, Diaz-Ortiz M, Didio NA, Dietrich T, Di Fiore L, Di Fronzo C, Di Giorgio C, Di Giovanni F, Di Girolamo T, Di Lieto A, Ding B, Di Pace S, Di Palma I, Di Renzo F, Divakarla AK, Dmitriev A, Doctor Z, D'Onofrio L, Donovan F, Dooley KL, Doravari S, Dorrington I, Drago M, Driggers JC, Drori Y, Du Z, Ducoin JG, Dupej P, Durante O, D'Urso D, Duverne PA, Dwyer SE, Easter PJ, Ebersold M, Eddolls G, Edelman B, Edo TB, Edy O, Effler A, Eguchi S, Eichholz J, Eikenberry SS, Eisenmann M, Eisenstein RA, Ejlli A, Enomoto Y, Errico L, Essick RC, Estellés H, Estevez D, Etienne Z, Etzel T, Evans M, Evans TM, Ewing BE, Fafone V, Fair H, Fairhurst S, Fan X, Farah AM, Farinon S, Farr B, Farr WM, Farrow NW, Fauchon-Jones EJ, Favata M, Fays M, Fazio M, Feicht J, Fejer MM, Feng F, Fenyvesi E, Ferguson DL, Fernandez-Galiana A, Ferrante I, Ferreira TA, Fidecaro F, Figura P, Fiori I, Fishbach M, Fisher RP, Fishner JM, Fittipaldi R, Fiumara V, Flaminio R, Floden E, Flynn E, Fong H, Font JA, Fornal B, Forsyth PWF, Franke A, Frasca S, Frasconi F, Frederick C, Frei Z, Freise A, Frey R, Fritschel P, Frolov VV, Fronzé GG, Fujii Y, Fujikawa Y, Fukunaga M, Fukushima M, Fulda P, Fyffe M, Gabbard HA, Gadre BU, Gaebel SM, Gair JR, Gais J, Galaudage S, Gamba R, Ganapathy D, Ganguly A, Gao D, Gaonkar SG, Garaventa B, García-Núñez C, García-Quirós C, Garufi F, Gateley B, Gaudio S, Gayathri V, Ge G, Gemme G, Gennai A, George J, Gergely L, Gewecke P, Ghonge S, Ghosh A, Ghosh A, Ghosh S, Ghosh S, Ghosh S, Giacomazzo B, Giacoppo L, Giaime JA, Giardina KD, Gibson DR, Gier C, Giesler M, Giri P, Gissi F, Glanzer J, Gleckl AE, Godwin P, Goetz E, Goetz R, Gohlke N, Goncharov B, González G, Gopakumar A, Gosselin M, Gouaty R, Grace B, Grado A, Granata M, Granata V, Grant A, Gras S, Grassia P, Gray C, Gray R, Greco G, Green AC, Green R, Gretarsson AM, Gretarsson EM, Griffith D, Griffiths W, Griggs HL, Grignani G, Grimaldi A, Grimes E, Grimm SJ, Grote H, Grunewald S, Gruning P, Guerrero JG, Guidi GM, Guimaraes AR, Guixé G, Gulati HK, Guo HK, Guo Y, Gupta A, Gupta A, Gupta P, Gustafson EK, Gustafson R, Guzman F, Ha S, Haegel L, Hagiwara A, Haino S, Halim O, Hall ED, Hamilton EZ, Hammond G, Han WB, Haney M, Hanks J, Hanna C, Hannam MD, Hannuksela OA, Hansen H, Hansen TJ, Hanson J, Harder T, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hartwig D, Hasegawa K, Haskell B, Hasskew RK, Haster CJ, Hattori K, Haughian K, Hayakawa H, Hayama K, Hayes FJ, Healy J, Heidmann A, Heintze MC, Heinze J, Heinzel J, Heitmann H, Hellman F, Hello P, Helmling-Cornell AF, Hemming G, Hendry M, Heng IS, Hennes E, Hennig J, Hennig MH, Hernandez Vivanco F, Heurs M, Hild S, Hill P, Himemoto Y, Hines AS, Hiranuma Y, Hirata N, Hirose E, Hochheim S, Hofman D, Hohmann JN, Holgado AM, Holland NA, Hollows IJ, Holmes ZJ, Holt K, Holz DE, Hong Z, Hopkins P, Hough J, Howell EJ, Hoy CG, Hoyland D, Hreibi A, Hsieh B, Hsu Y, Huang GZ, Huang HY, Huang P, Huang YC, Huang YJ, Huang YW, Hübner MT, Huddart AD, Huerta EA, Hughey B, Hui DCY, Hui V, Husa S, Huttner SH, Huxford R, Huynh-Dinh T, Ide S, Idzkowski B, Iess A, Ikenoue B, Imam S, Inayoshi K, Inchauspe H, Ingram C, Inoue Y, Intini G, Ioka K, Isi M, Isleif K, Ito K, Itoh Y, Iyer BR, Izumi K, JaberianHamedan V, Jacqmin T, Jadhav SJ, Jadhav SP, James AL, Jan AZ, Jani K, Janssens K, Janthalur NN, Jaranowski P, Jariwala D, Jaume R, Jenkins AC, Jeon C, Jeunon M, Jia W, Jiang J, Jin HB, Johns GR, Jones AW, Jones DI, Jones JD, Jones P, Jones R, Jonker RJG, Ju L, Jung K, Jung P, Junker J, Kaihotsu K, Kajita T, Kakizaki M, Kalaghatgi CV, Kalogera V, Kamai B, Kamiizumi M, Kanda N, Kandhasamy S, Kang G, Kanner JB, Kao Y, Kapadia SJ, Kapasi DP, Karathanasis C, Karki S, Kashyap R, Kasprzack M, Kastaun W, Katsanevas S, Katsavounidis E, Katzman W, Kaur T, Kawabe K, Kawaguchi K, Kawai N, Kawasaki T, Kéfélian F, Keitel D, Key JS, Khadka S, Khalili FY, Khan I, Khan S, Khazanov EA, Khetan N, Khursheed M, Kijbunchoo N, Kim C, Kim JC, Kim J, Kim K, Kim WS, Kim YM, Kimball C, Kimura N, King PJ, Kinley-Hanlon M, Kirchhoff R, Kissel JS, Kita N, Kitazawa H, Kleybolte L, Klimenko S, Knee AM, Knowles TD, Knyazev E, Koch P, Koekoek G, Kojima Y, Kokeyama K, Koley S, Kolitsidou P, Kolstein M, Komori K, Kondrashov V, Kong AKH, Kontos A, Koper N, Korobko M, Kotake K, Kovalam M, Kozak DB, Kozakai C, Kozu R, Kringel V, Krishnendu NV, Królak A, Kuehn G, Kuei F, Kumar A, Kumar P, Kumar R, Kumar R, Kume J, Kuns K, Kuo C, Kuo HS, Kuromiya Y, Kuroyanagi S, Kusayanagi K, Kwak K, Kwang S, Laghi D, Lalande E, Lam TL, Lamberts A, Landry M, Lane BB, Lang RN, Lange J, Lantz B, La Rosa I, Lartaux-Vollard A, Lasky PD, Laxen M, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lecoeuche YK, Lee HK, Lee HM, Lee HW, Lee J, Lee K, Lee R, Lehmann J, Lemaître A, Leon E, Leonardi M, Leroy N, Letendre N, Levin Y, Leviton JN, Li AKY, Li B, Li J, Li KL, Li TGF, Li X, Lin CY, Lin FK, Lin FL, Lin HL, Lin LCC, Linde F, Linker SD, Linley JN, Littenberg TB, Liu GC, Liu J, Liu K, Liu X, Llorens-Monteagudo M, Lo RKL, Lockwood A, Lollie ML, London LT, Longo A, Lopez D, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Luo LW, Macas R, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Magaña Hernandez I, Magaña-Sandoval F, Magazzù C, Magee RM, Maggiore R, Majorana E, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango JL, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez M, Martinez V, Martinovic K, Martynov DV, Marx EJ, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy P, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milotti E, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mir LM, Mishkin A, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Nadji SL, Nagano K, Nagano S, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak RK, Negishi R, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nguyen Quynh L, Ni WT, Nichols SA, Nishizawa A, Nissanke S, Nocera F, Noh M, Norman M, North C, Nozaki S, Nuttall LK, Oberling J, O'Brien BD, Obuchi Y, O'Dell J, Ogaki W, Oganesyan G, Oh JJ, Oh K, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Oshino S, Ossokine S, Osthelder C, Otabe S, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan K, Panda PK, Pang H, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Paolone A, Parisi A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Patricelli B, Payne E, Pechsiri TC, Pedraza M, Pegoraro M, Pele A, Peña Arellano FE, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perreca A, Perriès S, Petermann J, Petterson D, 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AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevd.97.102002] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 05/21/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Lormand M, Losurdo G, Lough JD, Lousto CO, Lovelace G, Lück H, Lumaca D, Lundgren AP, Luo LW, Macas R, MacInnis M, Macleod DM, MacMillan IAO, Macquet A, Magaña Hernandez I, Magaña-Sandoval F, Magazzù C, Magee RM, Maggiore R, Majorana E, Maksimovic I, Maliakal S, Malik A, Man N, Mandic V, Mangano V, Mango JL, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marchio M, Marion F, Mark Z, Márka S, Márka Z, Markakis C, Markosyan AS, Markowitz A, Maros E, Marquina A, Marsat S, Martelli F, Martin IW, Martin RM, Martinez M, Martinez V, Martinovic K, Martynov DV, Marx EJ, Masalehdan H, Mason K, Massera E, Masserot A, Massinger TJ, Masso-Reid M, Mastrogiovanni S, Matas A, Mateu-Lucena M, Matichard F, Matiushechkina M, Mavalvala N, McCann JJ, McCarthy R, McClelland DE, McClincy P, McCormick S, McCuller L, McGhee GI, McGuire SC, McIsaac C, McIver J, McManus DJ, McRae T, McWilliams ST, Meacher D, Mehmet M, Mehta AK, Melatos A, Melchor DA, Mendell G, Menendez-Vazquez A, Menoni CS, Mercer RA, Mereni L, Merfeld K, Merilh EL, Merritt JD, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Meylahn F, Mhaske A, Miani A, Miao H, Michaloliakos I, Michel C, Michimura Y, Middleton H, Milano L, Miller AL, Millhouse M, Mills JC, Milotti E, Milovich-Goff MC, Minazzoli O, Minenkov Y, Mio N, Mir LM, Mishkin A, Mishra C, Mishra T, Mistry T, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Miyakawa O, Miyamoto A, Miyazaki Y, Miyo K, Miyoki S, Mo G, Mogushi K, Mohapatra SRP, Mohite SR, Molina I, Molina-Ruiz M, Mondin M, Montani M, Moore CJ, Moraru D, Morawski F, More A, Moreno C, Moreno G, Mori Y, Morisaki S, Moriwaki Y, Mours B, Mow-Lowry CM, Mozzon S, Muciaccia F, Mukherjee A, Mukherjee D, Mukherjee S, Mukherjee S, Mukund N, Mullavey A, Munch J, Muñiz EA, Murray PG, Musenich R, Nadji SL, Nagano K, Nagano S, Nakamura K, Nakano H, Nakano M, Nakashima R, Nakayama Y, Nardecchia I, Narikawa T, Naticchioni L, Nayak B, Nayak RK, Negishi R, Neil BF, Neilson J, Nelemans G, Nelson TJN, Nery M, Neunzert A, Ng KY, Ng SWS, Nguyen C, Nguyen P, Nguyen T, Nguyen Quynh L, Ni WT, Nichols SA, Nishizawa A, Nissanke S, Nocera F, Noh M, Norman M, North C, Nozaki S, Nuttall LK, Oberling J, O'Brien BD, Obuchi Y, O'Dell J, Ogaki W, Oganesyan G, Oh JJ, Oh K, Oh SH, Ohashi M, Ohishi N, Ohkawa M, Ohme F, Ohta H, Okada MA, Okutani Y, Okutomi K, Olivetto C, Oohara K, Ooi C, Oram R, O'Reilly B, Ormiston RG, Ormsby ND, Ortega LF, O'Shaughnessy R, O'Shea E, Oshino S, Ossokine S, Osthelder C, Otabe S, Ottaway DJ, Overmier H, Pace AE, Pagano G, Page MA, Pagliaroli G, Pai A, Pai SA, Palamos JR, Palashov O, Palomba C, Pan K, Panda PK, Pang H, Pang PTH, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Paolone A, Parisi A, Park J, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patel M, Patricelli B, Payne E, Pechsiri TC, Pedraza M, Pegoraro M, Pele A, Peña Arellano FE, Penn S, Perego A, Pereira A, Pereira T, Perez CJ, Périgois C, Perreca A, Perriès S, Petermann J, Petterson D, Pfeiffer HP, Pham KA, Phukon KS, Piccinni OJ, Pichot M, Piendibene M, Piergiovanni F, Pierini L, Pierro V, Pillant G, Pilo F, Pinard L, Pinto IM, Piotrzkowski BJ, Piotrzkowski K, Pirello M, Pitkin M, Placidi E, Plastino W, Pluchar C, Poggiani R, Polini E, Pong DYT, Ponrathnam S, Popolizio P, Porter EK, Powell J, Pracchia M, Pradier T, Prajapati AK, Prasai K, Prasanna R, Pratten G, Prestegard T, Principe M, Prodi GA, Prokhorov L, Prosposito P, Prudenzi L, Puecher A, Punturo M, Puosi F, Puppo P, Pürrer M, Qi H, Quetschke V, Quinonez PJ, Quitzow-James R, Raab FJ, Raaijmakers G, Radkins H, Radulesco N, Raffai P, Rail SX, Raja S, Rajan C, Ramirez KE, Ramirez TD, Ramos-Buades A, Rana J, Rapagnani P, Rapol UD, Ratto B, Raymond V, Raza N, Razzano M, Read J, Rees LA, Regimbau T, Rei L, Reid S, Reitze DH, Relton P, Rettegno P, Ricci F, Richardson CJ, Richardson JW, Richardson L, Ricker PM, Riemenschneider G, Riles K, Rizzo M, Robertson NA, Robie R, Robinet F, Rocchi A, Rocha JA, Rodriguez S, Rodriguez-Soto RD, Rolland L, Rollins JG, Roma VJ, Romanelli M, Romano R, Romel CL, Romero A, Romero-Shaw IM, Romie JH, Rose CA, Rosińska D, Rosofsky SG, Ross MP, Rowan S, Rowlinson SJ, Roy S, Roy S, Rozza D, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadiq J, Sago N, Saito S, Saito Y, Sakai K, Sakai Y, Sakellariadou M, Sakuno Y, Salafia OS, Salconi L, Saleem M, Salemi F, Samajdar A, Sanchez EJ, Sanchez JH, Sanchez LE, Sanchis-Gual N, Sanders JR, Sanuy A, Saravanan TR, Sarin N, Sassolas B, Satari H, Sato S, Sato T, Sauter O, Savage RL, Savant V, Sawada T, Sawant D, Sawant HL, Sayah S, Schaetzl D, Scheel M, Scheuer J, Schindler-Tyka A, Schmidt P, Schnabel R, Schneewind M, Schofield RMS, Schönbeck A, Schulte BW, Schutz BF, Schwartz E, Scott J, Scott SM, Seglar-Arroyo M, Seidel E, Sekiguchi T, Sekiguchi Y, Sellers D, Sengupta AS, Sennett N, Sentenac D, Seo EG, Sequino V, Setyawati Y, Shaffer T, Shahriar MS, Shams B, Shao L, Sharifi S, Sharma A, Sharma P, Shawhan P, Shcheblanov NS, Shen H, Shibagaki S, Shikauchi M, Shimizu R, Shimoda T, Shimode K, Shink R, Shinkai H, Shishido T, Shoda A, Shoemaker DH, Shoemaker DM, Shukla K, ShyamSundar S, Sieniawska M, Sigg D, Singer LP, Singh D, Singh N, Singha A, Sintes AM, Sipala V, Skliris V, Slagmolen BJJ, Slaven-Blair TJ, Smetana J, Smith JR, Smith RJE, Somala SN, Somiya K, Son EJ, Soni K, Soni S, Sorazu B, Sordini V, Sorrentino F, Sorrentino N, Sotani H, Soulard R, Souradeep T, Sowell E, Spagnuolo V, Spencer AP, Spera M, Srivastava AK, Srivastava V, Staats K, Stachie C, Steer DA, Steinlechner J, Steinlechner S, Stops DJ, Stover M, Strain KA, Strang LC, Stratta G, Strunk A, Sturani R, Stuver AL, Südbeck J, Sudhagar S, Sudhir V, Sugimoto R, Suh HG, Summerscales TZ, Sun H, Sun L, Sunil S, Sur A, Suresh J, Sutton PJ, Suzuki T, Suzuki T, Swinkels BL, Szczepańczyk MJ, Szewczyk P, Tacca M, Tagoshi H, Tait SC, Takahashi H, Takahashi R, Takamori A, Takano S, Takeda H, Takeda M, Talbot C, Tanaka H, Tanaka K, Tanaka K, Tanaka T, Tanaka T, Tanasijczuk AJ, Tanioka S, Tanner DB, Tao D, Tapia A, Tapia San Martin EN, Tapia San Martin EN, Tasson JD, Telada S, Tenorio R, Terkowski L, Test M, Thirugnanasambandam MP, Thomas M, Thomas P, Thompson JE, Thondapu SR, Thorne KA, Thrane E, Tiwari S, Tiwari S, Tiwari V, Toland K, Tolley AE, Tomaru T, Tomigami Y, Tomura T, Tonelli M, Torres-Forné A, Torrie CI, Tosta E Melo I, Töyrä D, Trapananti A, Travasso F, Traylor G, Tringali MC, Tripathee A, Troiano L, Trovato A, Trozzo L, Trudeau RJ, Tsai DS, Tsai D, Tsang KW, Tsang T, Tsao JS, Tse M, Tso R, Tsubono K, Tsuchida S, Tsukada L, Tsuna D, Tsutsui T, Tsuzuki T, Turconi M, Tuyenbayev D, Ubhi AS, Uchikata N, Uchiyama T, Udall RP, Ueda A, Uehara T, Ueno K, Ueshima G, Ugolini D, Unnikrishnan CS, Uraguchi F, Urban AL, Ushiba T, Usman SA, Utina AC, Vahlbruch H, Vajente G, Vajpeyi A, Valdes G, Valentini M, Valsan V, van Bakel N, van Beuzekom M, van den Brand JFJ, Van Den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Putten MHPM, van Remortel N, Vardaro M, Vargas AF, Varma V, Vasúth M, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Venneberg J, Venugopalan G, Verkindt D, Verma Y, Veske D, Vetrano F, Viceré A, Viets AD, Villa-Ortega V, Vinet JY, Vitale S, Vo T, Vocca H, von Reis ERG, Vorvick C, Vyatchanin SP, Wade LE, Wade M, Wagner KJ, Walet RC, Walker M, Wallace GS, Wallace L, Walsh S, Wang J, Wang JZ, Wang WH, Ward RL, Warner J, Was M, Washimi T, Washington NY, Watchi J, Weaver B, Wei L, Weinert M, Weinstein AJ, Weiss R, Weller CM, Wellmann F, Wen L, Weßels P, Westhouse JW, Wette K, Whelan JT, White DD, Whiting BF, Whittle C, Wilken D, Williams D, Williams MJ, Williamson AR, Willis JL, Willke B, Wilson DJ, Winkler W, Wipf CC, Wlodarczyk T, Woan G, Woehler J, Wofford JK, Wong ICF, Wrangel J, Wu C, Wu DS, Wu H, Wu S, Wysocki DM, Xiao L, Xu WR, Yamada T, Yamamoto H, Yamamoto K, Yamamoto K, Yamamoto T, Yamashita K, Yamazaki R, Yang FW, Yang L, Yang Y, Yang Y, Yang Z, Yap MJ, Yeeles DW, Yelikar AB, Ying M, Yokogawa K, Yokoyama J, Yokozawa T, Yoon A, Yoshioka T, Yu H, Yu H, Yuzurihara H, Zadrożny A, Zanolin M, Zeidler S, Zelenova T, Zendri JP, Zevin M, Zhan M, Zhang H, Zhang J, Zhang L, Zhang R, Zhang T, Zhao C, Zhao G, Zhao Y, Zhao Y, Zhou Z, Zhu XJ, Zhu ZH, Zucker ME, Zweizig J. Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run. PHYSICAL REVIEW LETTERS 2021; 126:241102. [PMID: 34213926 DOI: 10.1103/physrevlett.126.241102] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 03/31/2021] [Accepted: 05/23/2021] [Indexed: 06/13/2023]
Abstract
We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.
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Lee YS, Lim JH, Ryu W, Park MH, Kim L, Kim K, Kim WY, Nam HS. The clinical impact of three validated PD-L1 immunohistochemistry assays as a prognostic factor in small cell lung cancer. Transl Lung Cancer Res 2021; 10:2539-2550. [PMID: 34295660 PMCID: PMC8264325 DOI: 10.21037/tlcr-21-165] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 05/05/2021] [Indexed: 12/14/2022]
Abstract
Background Evidence of the clinical impact of programmed death-ligand 1 (PD-L1) expression in small cell lung cancer (SCLC) is scarce and conflicting, even though atezolizumab became the first PD-L1 inhibitor approved by the US Food and Drug Administration (FDA) in recent years for the initial treatment of extensive-stage (ES)-SCLC. Methods We investigated PD-L1 expression in SCLC tumors using the three validated PD-L1 immunohistochemistry (IHC) assays (SP263, SP142, and 22C3) and assessed the correlation between PD-L1 expression and clinicopathological factors to determine the prognostic value of PD-L1 expression. The three PD-L1 IHC analyses were prospectively used to assess tumor samples of patients with SCLC at diagnosis. Results Of the total of 59 patients, 47 patients received the active treatment beyond platinum-based chemotherapy at our institution. PD-L1 expression was positive in 39.0% with SP263, 37.3% with SP142, and 22.0% with 22C3. In a univariate analysis, the positive result of at least one of the three PD-L1 assays and the positive result of the SP142 assay were associated with longer overall survival (OS). A multivariable analysis confirmed that performance status, stage, and the SP142 assay were independent predictors of OS. In subgroup analysis, these results revealed more significant prognostic factors in ES than in limited-stage (LS). In patients with SCLC, especially those with ES, the expression of the SP142 assay is a significant independent prognostic factor. Conclusions Although these results need to be further validated in larger cohorts, this information will benefit clinicians and patients in determining the immunotherapy for patients with ES-SCLC.
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Tomoshige N, Goto S, Mizuno H, Mori T, Kim K, Matubayasi N. Understanding the scaling of boson peak through insensitivity of elastic heterogeneity to bending rigidity in polymer glasses. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2021; 33:274002. [PMID: 33930889 DOI: 10.1088/1361-648x/abfd51] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 04/30/2021] [Indexed: 06/12/2023]
Abstract
Amorphous materials exhibit peculiar mechanical and vibrational properties, including non-affine elastic responses and excess vibrational states, i.e., the so-called boson peak (BP). For polymer glasses, these properties are considered to be affected by the bending rigidity of the constituent polymer chains. In our recent work [Tomoshige,et al2019,Sci. Rep.919514], we have revealed simple relationships between the variations of vibrational properties and the global elastic properties: the response of the BP scales only with that of the global shear modulus. This observation suggests that the spatial heterogeneity of the local shear modulus distribution is insensitive to changes in the bending rigidity. Here, we demonstrate the insensitivity of elastic heterogeneity by directly measuring the local shear modulus distribution. We also study transverse sound wave propagation, which is also shown to scale only with the global shear modulus. Through these analyses, we conclude that the bending rigidity does not alter the spatial heterogeneity of the local shear modulus distribution, which yields vibrational and acoustic properties that are controlled solely by the global shear modulus of a polymer glass.
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Sharifi Kia D, Kim K, Simon MA. Current Understanding of the Right Ventricle Structure and Function in Pulmonary Arterial Hypertension. Front Physiol 2021; 12:641310. [PMID: 34122125 PMCID: PMC8194310 DOI: 10.3389/fphys.2021.641310] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 04/30/2021] [Indexed: 12/20/2022] Open
Abstract
Pulmonary arterial hypertension (PAH) is a disease resulting in increased right ventricular (RV) afterload and RV remodeling. PAH results in altered RV structure and function at different scales from organ-level hemodynamics to tissue-level biomechanical properties, fiber-level architecture, and cardiomyocyte-level contractility. Biomechanical analysis of RV pathophysiology has drawn significant attention over the past years and recent work has found a close link between RV biomechanics and physiological function. Building upon previously developed techniques, biomechanical studies have employed multi-scale analysis frameworks to investigate the underlying mechanisms of RV remodeling in PAH and effects of potential therapeutic interventions on these mechanisms. In this review, we discuss the current understanding of RV structure and function in PAH, highlighting the findings from recent studies on the biomechanics of RV remodeling at organ, tissue, fiber, and cellular levels. Recent progress in understanding the underlying mechanisms of RV remodeling in PAH, and effects of potential therapeutics, will be highlighted from a biomechanical perspective. The clinical relevance of RV biomechanics in PAH will be discussed, followed by addressing the current knowledge gaps and providing suggested directions for future research.
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Mumford SL, Flannagan KS, Radoc JG, Sjaarda LA, Zolton JR, Metz TD, Plowden TC, Perkins NJ, DeVilbiss EA, Andriessen VC, A C PS, Kim K, Yisahak SF, Freeman JR, Alkhalaf Z, Silver RM, Schisterman EF. Cannabis use while trying to conceive: a prospective cohort study evaluating associations with fecundability, live birth and pregnancy loss. Hum Reprod 2021; 36:1405-1415. [PMID: 33421071 DOI: 10.1093/humrep/deaa355] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 11/19/2020] [Indexed: 11/15/2022] Open
Abstract
STUDY QUESTION Is cannabis use assessed via urinary metabolites and self-report during preconception associated with fecundability, live birth and pregnancy loss? SUMMARY ANSWER Preconception cannabis use was associated with reduced fecundability among women with a history of pregnancy loss attempting pregnancy despite an increased frequency of intercourse. WHAT IS KNOWN ALREADY Cannabis use continues to rise despite limited evidence of safety during critical windows of pregnancy establishment. While existing studies suggest that self-reported cannabis use is not associated with fecundability, self-report may not be reliable. STUDY DESIGN, SIZE, DURATION A prospective cohort study was carried out including 1228 women followed for up to six cycles while attempting pregnancy (2006 to 2012), and throughout pregnancy if they conceived. PARTICIPANTS/MATERIALS, SETTING, METHODS Women aged 18-40 years with a history of pregnancy loss (n = 1228) were recruited from four clinical centers. Women self-reported preconception cannabis use at baseline and urinary tetrahydrocannabinol metabolites were measured throughout preconception and early pregnancy (up to four times during the study: at baseline, after 6 months of follow-up or at the beginning of the conception cycle, and weeks 4 and 8 of pregnancy). Time to hCG-detected pregnancy, and incidence of live birth and pregnancy loss were prospectively assessed. Fecundability odds ratios (FOR) and 95% CI were estimated using discrete time Cox proportional hazards models, and risk ratios (RRs) and 95% CI using log-binomial regression adjusting for age, race, BMI, education level, baseline urine cotinine, alcohol use and antidepressant use. MAIN RESULTS AND THE ROLE OF CHANCE Preconception cannabis use was 5% (62/1228), based on combined urinary metabolite measurements and self-report, and 1.3% (11/789) used cannabis during the first 8 weeks of gestation based on urinary metabolites only. Women with preconception cannabis use had reduced fecundability (FOR 0.59; 95% CI 0.38, 0.92). Preconception cannabis use was also associated with increased frequency of intercourse per cycle (9.4 ± 7 versus 7.5 ± 7 days; P = 0.02) and higher LH (percentage change 64%, 95% CI 3, 161) and higher LH:FSH ratio (percentage change 39%, 95% CI 7, 81). There were also suggestive, though imprecise, associations with anovulation (RR 1.92, 95% CI 0.88, 4.18), and live birth (42% (19/45) cannabis users versus 55% (578/1043) nonusers; RR 0.80, 95% CI 0.57, 1.12). No associations were observed between preconception cannabis use and pregnancy loss (RR 0.81, 95% CI 0.46, 1.42). Similar results were observed after additional adjustment for parity, income, employment status and stress. We were unable to estimate associations between cannabis use during early pregnancy and pregnancy loss due to limited sample size. LIMITATIONS, REASONS FOR CAUTION Owing to the relatively few cannabis users in our study, we had limited ability to make conclusions regarding live birth and pregnancy loss, and were unable to account for male partner use. While results were similar after excluding smokers, alcohol use and any drug use in the past year, some residual confounding may persist due to these potential co-exposures. WIDER IMPLICATIONS OF THE FINDINGS These findings highlight potential risks on fecundability among women attempting pregnancy with a history of pregnancy loss and the need for expanded evidence regarding the reproductive health effects of cannabis use in the current climate of increasing legalization. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the Intramural Research Program of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland (Contract numbers: HHSN267200603423, HHSN267200603424, HHSN267200603426, HHSN275201300023I). Jeannie G. Radoc has been funded by the National Institutes of Health Medical Research Scholars Program, a public-private partnership supported jointly by the National Institutes of Health and generous contributions to the Foundation for the National Institutes of Health from the Doris Duke Charitable Foundation (DDCF Grant # 2014194), Genentech, Elsevier, and other private donors. The authors report no conflict of interest in this work and have nothing to disclose. TRIAL REGISTRATION NUMBER Clinicaltrials.gov NCT00467363.
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Park H, Jo U, Kim Y, Kim K, Yu S, Yoon H, Kwon S, Park J, Kim M, Lee J, Koh S. 686 A psoriasis mouse model with persistent skin lesions and comorbidities. J Invest Dermatol 2021. [DOI: 10.1016/j.jid.2021.02.716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Harmon QE, Kissell K, Jukic AMZ, Kim K, Sjaarda L, Perkins NJ, Umbach DM, Schisterman EF, Baird DD, Mumford SL. Vitamin D and Reproductive Hormones Across the Menstrual Cycle. Hum Reprod 2021; 35:413-423. [PMID: 32068843 DOI: 10.1093/humrep/dez283] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Revised: 11/20/2019] [Indexed: 12/31/2022] Open
Abstract
STUDY QUESTION How do the calciotropic hormones (25-hydroxyvitamin D, 1,25-dihydroxyvitamin D and intact parathyroid hormone (iPTH)) vary across the menstrual cycle and do cyclic patterns of reproductive hormones (estradiol, progesterone, LH, FSH) differ by vitamin D status? SUMMARY ANSWER Calciotropic hormones vary minimally across the menstrual cycle; however, women with 25-hydroxyvitamin D below 30 ng/ml have lower mean estradiol across the menstrual cycle. WHAT IS KNOWN ALREADY Prior human studies suggest that vitamin D status is associated with fecundability, but the mechanism is unknown. Exogenous estrogens and prolonged changes in endogenous estradiol (pregnancy or menopause) influence concentrations of 25-hydroxyvitamin D. In vitro, treatment with 1,25-dihydroxyvitamin D increases steroidogenesis in ovarian granulosa cells. There are little data about changes in calciotropic hormones across the menstrual cycle or cyclic patterns of reproductive hormones by categories of vitamin D status. STUDY DESIGN, SIZE, DURATION A prospective cohort study of 89 self-identified white women aged 18-44, across two menstrual cycles. Participants were a subset of the BioCycle Study, a community-based study conducted at the University of Buffalo, 2005-2007. PARTICIPANTS/MATERIALS, SETTING, METHODS Eligible participants had self-reported regular menstrual cycles between 21 and 35 days and were not using hormonal contraception or vitamins. Early morning fasting blood samples were drawn at up to eight study visits per cycle. Visits were timed to capture information in all cycle phases. Serum samples for 89 women (N = 163 menstrual cycles) were analyzed for estradiol, progesterone, LH, FSH and 25-hydroxyvitamin D (25(OH)D). Variability in calciotropic hormones within and across menstrual cycles was assessed using intraclass correlation coefficients and non-linear mixed models. Given the relative stability of the calciotropic hormones across the menstrual cycle, non-linear mixed models were used to examine differences in the cyclic patterns of estradiol, progesterone, LH and FSH by categories of each calciotropic hormone (split at the median). These models were conducted for all ovulatory cycles (N = 142 ovulatory menstrual cycles) and were adjusted for age, BMI (measured in clinic) and self-reported physical activity. MAIN RESULTS AND THE ROLE OF CHANCE Median 25(OH)D concentration was 29.5 ng/ml (SD 8.4), and only 6% of women had vitamin D deficiency (<20 ng/ml). The mean concentration of 25(OH)D did not differ between the luteal and follicular phase; however, both 1,25(OH)2D and iPTH showed small fluctuations across the menstrual cycle with the highest 1,25(OH)2D (and lowest iPTH) in the luteal phase. Compared with women who had mean 25(OH)D ≥30 ng/ml, women with lower 25(OH)D had 13.8% lower mean estradiol (95% confidence interval: -22.0, -4.7) and 10.8% lower free estradiol (95% CI: -0.07, -0.004). Additionally, compared to women with iPTH ≤36 pg/ml, women with higher concentrations of iPTH had 12.7% lower mean estradiol (95% CI: -18.7, -6.3) and 7.3% lower progesterone (95% CI: -13.3, -0.9). No differences in the cyclic pattern of any of the reproductive hormones were observed comparing cycles with higher and lower 1,25(OH)2D. LIMITATIONS, REASONS FOR CAUTION Women included in this study had self-reported 'regular' menstrual cycles and very few were found to have 25(OH)D deficiency. This limits our ability to examine cycle characteristics, anovulation and the effects of concentrations of the calciotropic hormones found in deficient individuals. Additionally, the results may not be generalizable to women with irregular cycles, other races, or populations with a higher prevalence of vitamin D deficiency. WIDER IMPLICATIONS OF THE FINDINGS These findings support current clinical practice that does not time testing for vitamin D deficiency to the menstrual cycle phase. We find that women with lower vitamin D status (lower 25(OH)D or higher iPTH) have lower mean concentrations of estradiol across the menstrual cycle. Although this study cannot identify a mechanism of action, further in vitro work or clinical trials may help elucidate the biologic mechanisms linking calciotropic and reproductive hormones. STUDY FUNDING/COMPETING INTEREST(S) This work was supported by the Intramural Research Programs of the Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (contract numbers: HHSN275200403394C, HHSN275201100002I and Task 1 HHSN27500001) and the National Institute of Environmental Health Sciences. There are no competing interests.
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Ghaffari-Rafi A, Nosova K, Kim K, Goodarzi A. Intradural Disc Herniation in the Setting of Congenital Lumbar Spinal Stenosis. Neurochirurgie 2021; 68:335-341. [PMID: 33901524 DOI: 10.1016/j.neuchi.2021.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 03/10/2021] [Accepted: 04/11/2021] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Accounting for an estimated 1.10-1.76% of all lumbar herniations, lumbar intradural disc herniation (IDH) occurs primarily in males during the fourth to fifth decades of life. While not validated, congenital lumbar spinal stenosis (CLSS) is implicated as one precipitating factor for IDH. CASE REPORT We report 28-year-old Hispanic female with CLSS, severe obesity, and degenerative disk disease, with a history of minimally invasive surgical (MIS) decompression for a large paracentral L4-5 disc herniation at 25. After three years, the patient developed sudden burning dysesthesias in the L4-5 dermatomes bilaterally and temporary leg weakness. Lumbar magnetic resonance imaging exhibited severe L4-5 spinal stenosis, and the patient underwent repeat MIS decompression, which again provided her with adequate symptom resolution. However, 20 days postoperatively she developed cauda equina syndrome with anal dysfunction, and bilateral leg and foot weakness. Upon open surgical exploration we discovered a tense L4-5 dural protrusion. After a dorsal durotomy, a large IDH with a ventral dural tear was identified. Subsequent to adequate debulking of the IDH, the ventral tear was repaired, and an expansile duraplasty was performed. Overall, the patient's bladder and bowel function, pain, hypoesthesia, and motor strength all improved. Two weeks after surgery she presented with a lumbar pseudomeningocele that was managed conservatively. CONCLUSION This report not only highlights an atypical presentation of IDH and is the first case of CLSS linked with IDH, lending support to the hypothesis that CLSS can lead to IDH, but also provides a comprehensive review of IDHs.
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Jiang A, Yin D, Zhang L, Li B, Li R, Zhang X, Zhang Z, Liu H, Kim K, Wu W. Parsing the microRNA genetics basis regulating skeletal muscle fiber types and meat quality traits in pigs. Anim Genet 2021; 52:292-303. [PMID: 33840112 DOI: 10.1111/age.13064] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 12/29/2022]
Abstract
Muscle fibers are closely related to human diseases and livestock meat quality. However, the genetics basis of microRNAs (miRNAs) in regulating muscle fibers is not completely understood. In this study, we constructed the whole genome-wide miRNA expression profiles of porcine fast-twitch muscle [biceps femoris (Bf)] and slow-twitch muscle [soleus (Sol)], and identified hundreds of miRNAs, including four skeletal muscle-highly expressed miRNAs, ssc-miR-378, ssc-let-7f, ssc-miR-26a, and ssc-miR-27b-3p. Moreover, we identified 63 differentially expressed (DE) miRNAs between biceps femoris vs. soleus, which are the key candidate miRNAs regulating the skeletal muscle fiber types. In addition, we found that the expression of DE ssc-miR-499-5p was significantly correlated to the expression of Myoglobin (r = 0.6872, P < 0.0001) and Myosin heavy chain 7 (MYH7; r = 0.5408, P = 0.0020), and pH45 min (r = 0.3806, P = 0.0380) and glucose content (r = -0.4382, P = 0.0154); while the expression of DE ssc-miR-499-3p was significantly correlated to the expression of Myoglobin (r = 0.5340, P = 0.0024) and pH45 min (r = 0.4857, P = 0.0065). Taken together, our data established a sound foundation for further studies on the regulatory mechanisms of miRNAs in skeletal muscle fiber conversion and meat quality traits in livestock, and could provide a genetic explanation of the role of miRNAs in human muscular diseases.
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Khalid WB, Farhat N, Lavery L, Jarnagin J, Delany JP, Kim K. Non-invasive Assessment of Liver Fat in ob/ob Mice Using Ultrasound-Induced Thermal Strain Imaging and Its Correlation with Hepatic Triglyceride Content. ULTRASOUND IN MEDICINE & BIOLOGY 2021; 47:1067-1076. [PMID: 33468357 PMCID: PMC7936391 DOI: 10.1016/j.ultrasmedbio.2020.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2020] [Revised: 11/21/2020] [Accepted: 12/12/2020] [Indexed: 06/12/2023]
Abstract
Non-alcoholic fatty liver disease is the accumulation of triglycerides in liver. In its malignant form, it can proceed to steatohepatitis, fibrosis, cirrhosis, cancer and ultimately liver impairment, leading to liver transplantation. In a previous study, ultrasound-induced thermal strain imaging (US-TSI) was used to distinguish between excised fatty livers from obese mice and non-fatty livers from control mice. In this study, US-TSI was used to quantify lipid composition of fatty livers in ob/ob mice (n = 28) at various steatosis stages. A strong correlation coefficient was observed (R2 = 0.85) between lipid composition measured with US-TSI and hepatic triglyceride content. Hepatic triglyceride content is used to quantify adipose tissue in liver. The ob/ob mice were divided into three groups based on the degree of steatosis that is used in clinics: none, mild and moderate. A non-parametric Kruskal-Wallis test was conducted to determine if US-TSI can potentially differentiate among the steatosis grades in non-alcoholic fatty liver disease.
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Chen Q, Song H, Yu J, Kim K. Current Development and Applications of Super-Resolution Ultrasound Imaging. SENSORS 2021; 21:s21072417. [PMID: 33915779 PMCID: PMC8038018 DOI: 10.3390/s21072417] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/22/2021] [Accepted: 03/24/2021] [Indexed: 02/07/2023]
Abstract
Abnormal changes of the microvasculature are reported to be key evidence of the development of several critical diseases, including cancer, progressive kidney disease, and atherosclerotic plaque. Super-resolution ultrasound imaging is an emerging technology that can identify the microvasculature noninvasively, with unprecedented spatial resolution beyond the acoustic diffraction limit. Therefore, it is a promising approach for diagnosing and monitoring the development of diseases. In this review, we introduce current super-resolution ultrasound imaging approaches and their preclinical applications on different animals and disease models. Future directions and challenges to overcome for clinical translations are also discussed.
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Kim K, Bandera EV, Xu B, Chanumolu D, Rundle AG, Hurvitz PM, Ambrosone CB, Demissie K, Hong CC, Lovasi GS, Qin B. Multilevel Risk Factors for Weight Change after Breast Cancer Diagnosis Among Black Women. Cancer Epidemiol Biomarkers Prev 2021. [DOI: 10.1158/1055-9965.epi-21-0213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Abstract
Background: Weight gain after breast cancer diagnosis increases the risk of mortality. African American/Black breast cancer survivors are more likely to have excess body weight than their White counterparts, which may contribute to their higher mortality rate. Emerging evidence suggests that post-diagnosis weight gain may result from multilevel determinants. However, no study has investigated the multilevel characteristics among Black breast cancer survivors. Objective: To evaluate associations between individual-level factors and neighborhood social and built environment factors with weight change after breast cancer diagnosis among Black women. Methods: We evaluated associations of interest among 785 women enrolled in the Women's Circle of Health Follow-Up Study (WCHFS), a longitudinal study of Black breast cancer survivors in New Jersey. Weight change was primarily based on measurements at baseline and follow-up visits (Median: 10.3 and 23.2 mo. since diagnosis, respectively). Participants were grouped into categories of stable weight (52.4%), ≥3% weight loss (20.0%), and ≥3% weight gain (27.6%). Using multivariate- adjusted multinomial logistic regression and multilevel multinomial logistic regression, we evaluated relative risk ratios (RRRs) for associations between multilevel factors and post-diagnosis weight change category. Results: Black breast cancer survivors who were older at diagnosis, had higher household income, post-menopausal status, and higher baseline BMI were less likely to gain weight compared to women with stable weight. Former smoking, higher tumor stage, and chemotherapy were associated with increased relative risk of weight gain (e.g. RRR-chemo: 1.45, 95% CI: 1.01, 2.08). Black women residing in neighborhoods in the highest tertile for density of walkable destinations had a decreased relative risk of post- diagnosis weight gain (e.g. RRR-T3 highest density vs. T1 lowest: 0.39, 95% CI: 0.20, 0.75), while those residing in neighborhoods with higher density of fast food restaurants had increased relative risk of weight gain (RRR-T3 highest density vs. T1 lowest: 1.94, 95% CI: 1.23, 3.05). Conclusion: Both individual and neighborhood factors may influence the risk of weight gain among Black women after breast cancer diagnosis.
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Furdella KJ, Higuchi S, Behrangzade A, Kim K, Wagner WR, Vande Geest JP. In-vivo assessment of a tissue engineered vascular graft computationally optimized for target vessel compliance. Acta Biomater 2021; 123:298-311. [PMID: 33482362 DOI: 10.1016/j.actbio.2020.12.058] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 12/22/2020] [Accepted: 12/29/2020] [Indexed: 11/24/2022]
Abstract
Tissue engineered vascular grafts (TEVGs) have the ability to be tuned to match a target vessel's compliance, diameter, wall thickness, and thereby prevent compliance mismatch. In this work, TEVG compliance was manipulated by computationally tuning its layered composition or by manipulating a crosslinking agent (genipin). In particular, these three acelluluar TEVGs were compared: a compliance matched graft (CMgel - high gelatin content); a hypocompliant PCL graft (HYPOpcl - high polycaprolactone content); and a hypocompliant genipin graft (HYPOgen - equivalent composition as CMgel but hypocompliant via increased genipin crosslinking). All constructs were implanted interpositionally into the abdominal aorta of 21 Sprague Dawley rats (n=7, males=11, females=10) for 28 days, imaged in-vivo using ultrasound, explanted, and assessed for remodeling using immunofluorescence and two photon excitation fluorescence imaging. Compliance matched grafts remained compliance-matched in-vivo compared to the hypocompliant grafts through 4 weeks (p<0.05). Construct degradation and cellular infiltration was increased in the CMgel and HYPOgen TEVGs. Contractile smooth muscle cell markers in the proximal anastomosis of the graft were increased in the CMgel group compared to the HYPOpcl (p=0.007) and HYPOgen grafts (p=0.04). Both hypocompliant grafts also had an increased pro-inflammatory response (increased ratio of CD163 to CD86 in the mid-axial location) compared to the CMgel group. Our results suggest that compliance matching using a computational optimization approach leads to the improved acute (28 day) remodeling of TEVGs. To the authors' knowledge, this is the first in-vivo rat study investigating TEVGs that have been computationally optimized for target vessel compliance.
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Papangkorn K, DelConte A, Chidambaram N, Bruno B, Kim K, Patel M. 035 TLANDO, Oral Testosterone Replacement Therapy without Dose Titration Requirement. J Sex Med 2021. [DOI: 10.1016/j.jsxm.2021.01.104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Sharifi Kia D, Fortunato R, Maiti S, Simon MA, Kim K. An exploratory assessment of stretch-induced transmural myocardial fiber kinematics in right ventricular pressure overload. Sci Rep 2021; 11:3587. [PMID: 33574400 PMCID: PMC7878470 DOI: 10.1038/s41598-021-83154-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 01/22/2021] [Indexed: 01/30/2023] Open
Abstract
Right ventricular (RV) remodeling and longitudinal fiber reorientation in the setting of pulmonary hypertension (PH) affects ventricular structure and function, eventually leading to RV failure. Characterizing the kinematics of myocardial fibers helps better understanding the underlying mechanisms of fiber realignment in PH. In the current work, high-frequency ultrasound imaging and structurally-informed finite element (FE) models were employed for an exploratory evaluation of the stretch-induced kinematics of RV fibers. Image-based experimental evaluation of fiber kinematics in porcine myocardium revealed the capability of affine assumptions to effectively approximate myofiber realignment in the RV free wall. The developed imaging framework provides a noninvasive modality to quantify transmural RV myofiber kinematics in large animal models. FE modeling results demonstrated that chronic pressure overload, but not solely an acute rise in pressures, results in kinematic shift of RV fibers towards the longitudinal direction. Additionally, FE simulations suggest a potential protective role for concentric hypertrophy (increased wall thickness) against fiber reorientation, while eccentric hypertrophy (RV dilation) resulted in longitudinal fiber realignment. Our study improves the current understanding of the role of different remodeling events involved in transmural myofiber reorientation in PH. Future experimentations are warranted to test the model-generated hypotheses.
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Bachman T, Kim K, Simon M. Semi-Automated Graphical System for Calculating Pulmonary Vascular Impedances in a Clinical Setting. IEEE OPEN JOURNAL OF ENGINEERING IN MEDICINE AND BIOLOGY 2021; 2:198-200. [PMID: 35402985 PMCID: PMC8979623 DOI: 10.1109/ojemb.2021.3076726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 02/15/2021] [Accepted: 04/23/2021] [Indexed: 12/03/2022] Open
Abstract
Goal: Create a semi-automated, graphical, stand-alone application that uses clinically available asynchronous pressure and Doppler velocity captures to rapidly calculate, display, and interpret the pulmonary vascular impedance (PVZ) spectra. Methods: MATLAB-based software was written to analyze PVZ by creating a composite PVZ (cPVZ) spectra comprised of asynchronous screen captures of pulmonary arterial pressure and pulmonary arterial pulsed-wave Doppler velocity waveforms obtained during standard of care procedures. The pressure waveform, Doppler frequency envelopes, and ECG signals were re-digitized via automated border detection. cPVZ of averaged representative beats was calculated in the frequency domain via Fast Fourier Transform, and plotted vs harmonic z. Results: Successful generation of impedance spectra (PVZ(z)), where z is the harmonic, and additional parameters for characteristic impedance (Zc) and stiffness (Zs) were calculated as the mean of PVZ(2-4), and the sum of PVZ (1, 2), respectively. Conclusions: A graphically driven analysis of PVZ, calculated from standard of care right heart catheterization and echocardiography is possible. This system can help characterize both the steady and pulsatile components of right ventricular (RV) afterload in the clinical setting.
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Yun JM, Choi S, Kim K, Kim SM, Son JS, Lee G, Jeong SM, Park SY, Kim YY, Park SM. All-cause mortality, cardiovascular mortality, and incidence of cardiovascular disease according to a screening program of cardiovascular risk in South Korea among young adults: a nationwide cohort study. Public Health 2020; 190:23-29. [PMID: 33338899 DOI: 10.1016/j.puhe.2020.10.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 08/03/2020] [Accepted: 10/29/2020] [Indexed: 11/17/2022]
Abstract
OBJECTIVES We aimed to determine whether there are any differences in all-cause and cause-specific mortality with cardiovascular disease (CVD) risk between health screening attenders and non-attenders among young adults. STUDY DESIGN We performed a retrospective cohort study using claim data from the Korean National Health Insurance Service database. METHODS Individuals aged 20-39 years who had received health screening at least once between 2002 and 2005 were classified as attenders, and the others were classified as non-attenders. After propensity score matching according to attendance of health screening, 2,060,409 attenders and 2,060,409 non-attenders were included. We estimated adjusted hazard ratios (HRs) and 95% confidence interval (CI) for all-cause mortality, cause-specific mortality, and hospitalization of CVD from 2006 to 2015. RESULTS Survival from all-cause mortality was greater among attenders than among non-attenders (log rank P < 0.001). Similarly, death from CVD (log rank P = 0.007) and CVD events (log rank P < 0.001) were less likely among attenders. The risk for all-cause mortality in attenders was significantly lower than that in non-attenders (HR = 0.83, 95% CI = 0.81 to 0.84). The risk for CVD mortality (HR = 0.80, 95% CI = 0.73 to 0.87) and hospitalization of CVD (HR = 0.92, 95% CI = 0.91 to 0.94) were lower in attenders. In stratified analyses, the risk for all-cause and cause-specific mortalities was lower among attenders regardless of insurance type. CONCLUSIONS Among young adults, the risk for all-cause mortality, CVD mortality, and hospitalization of CVD were lower for those who underwent health screenings. Future studies that evaluate the cost-effectiveness of health screening with additional consideration of psychosocial aspects are needed.
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Kim K, Park S. Artificial neural networks to compare the contribution of basic clinical factors, ESC SCORE, and multidimensional risk factors for cardiovascular event prediction performance: an observational study. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.2897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background/Introduction
Despite the recent increase in the availability of different data sources that can be used for prediction models for cardiovascular disease (CVD), it remains unclear to what extent such data could contribute to improving performance of the models in data-driven cardiovascular research.
Purpose
To compare the contribution of different data types in basic clinical factors, the European Society of Cardiology Systematic Coronary Risk Evaluation (ESC SCORE), and multidimensional risk factors for CVD prediction performance of artificial neural networks (ANN) using the relevant input features derived from a large-scale medical claims database.
Methods
We abstracted data through the National Health Insurance Sharing Service and collected information on 258,896 middle-aged individuals free of CVD at baseline (2009–2010) who were followed up for incident CVD until 2013. Multidimensional risk factors identifiable from the database were chosen from a systematic review of published articles. Input features in ANN were classified as follows: basic clinical factors (age, sex, and body mass index), ESC SCORE (age, sex, total cholesterol, systolic blood pressure, and cigarette smoking), and multidimensional risk factors (sociodemographic, lifestyle behavior, underlying medical conditions, dental health, medication use, etc). The data were partitioned into the training and test sets with 7:3 ratio and the performance of each ANN model was evaluated with area under the curve (AUC).
Results
The ANN model with multidimensional risk factors had higher prediction performance (AUC: 0.692) compared to the models with basic clinical factors (AUC: 0.671) and ESC SCORE (AUC: 0.684). Within the multidimensional risk factors, atrial fibrillation, family history, chronic kidney disease, retinal vein occlusion, dental caries, antipsychotics, and corticosteroid use were some of the strong predictors. However, adding multidimensional risk factors only showed marginal improvement (increase in 1.17% of AUC) compared with the ESC SCORE model.
Conclusions
Adding multidimensional risk factors as input features in the ANN only showed marginal improvement in the CVD prediction performance. When assessing cardiovascular risk from the large-scale healthcare data, variables included in the ESC SCORE should primarily be considered in the model.
Funding Acknowledgement
Type of funding source: Public grant(s) – National budget only. Main funding source(s): Kyuwoong Kim received a scholarship from the BK21-plus education program provided by the National Research Foundation of the Republic of Korea. This work is a part of Kyuwoong Kim's PhD dissertation.
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