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Hong R, Wu Z, Peng K, Zhang J, He Y, Zhang Z, Gao Y, Jin Y, Su X, Zhi H, Guan Q, Pan L, Jin L. Kinect-based objective assessment of the acute levodopa challenge test in parkinsonism: a feasibility study. Neurol Sci 2024; 45:2661-2670. [PMID: 38183553 DOI: 10.1007/s10072-023-07296-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024]
Abstract
INTRODUCTION The acute levodopa challenge test (ALCT) is an important and valuable examination but there are still some shortcomings with it. We aimed to objectively assess ALCT based on a depth camera and filter out the best indicators. METHODS Fifty-nine individuals with parkinsonism completed ALCT and the improvement rate (IR, which indicates the change in value before and after levodopa administration) of the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) was calculated. The kinematic features of the patients' movements in both the OFF and ON states were collected with an Azure Kinect depth camera. RESULTS The IR of MDS-UPDRS III was significantly correlated with the IRs of many kinematic features for arising from a chair, pronation-supination movements of the hand, finger tapping, toe tapping, leg agility, and gait (rs = - 0.277 ~ - 0.672, P < 0.05). Moderate to high discriminative values were found in the selected features in identifying a clinically significant response to levodopa with sensitivity, specificity, and area under the curve (AUC) in the range of 50-100%, 47.22%-97.22%, and 0.673-0.915, respectively. The resulting classifier combining kinematic features of toe tapping showed an excellent performance with an AUC of 0.966 (95% CI = 0.922-1.000, P < 0.001). The optimal cut-off value was 21.24% with sensitivity and specificity of 94.44% and 87.18%, respectively. CONCLUSION This study demonstrated the feasibility of measuring the effect of levodopa and objectively assessing ALCT based on kinematic data derived from an Azure Kinect-based system.
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Affiliation(s)
- Ronghua Hong
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, School of Medicine, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China
| | - Zhuang Wu
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, School of Medicine, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, China
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China
| | - Kangwen Peng
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China
| | - Jingxing Zhang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China
| | - Yijing He
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China
| | - Zhuoyu Zhang
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China
| | - Yichen Gao
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Yue Jin
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Xiaoyun Su
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Hongping Zhi
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Qiang Guan
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China
| | - Lizhen Pan
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China.
| | - Lingjing Jin
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, School of Medicine, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University, Shanghai, China.
- Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, School of Medicine, Neurotoxin Research CenterTongji HospitalTongji University, Shanghai, China.
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai, China.
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Zhang P, Huang N, Yang F, Yan W, Zhang B, Liu X, Peng K, Guo J. Determinants of depressive symptoms at individual, school and province levels: a national survey of 398,520 Chinese children and adolescents. Public Health 2024; 229:33-41. [PMID: 38394705 DOI: 10.1016/j.puhe.2024.01.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 11/06/2023] [Accepted: 01/18/2024] [Indexed: 02/25/2024]
Abstract
OBJECTIVES The aims of this study were to describe the national distribution of depressive symptoms in Chinese children and adolescents, to examine the determinants of depressive symptoms at individual, school and province levels and to assess the gender and age differences in the effect of school factors on depressive symptoms. STUDY DESIGN This was a national cross-sectional study. METHODS A school-based online survey was conducted in mainland China from between December 1, 2021, and January 1, 2022. A total of 398,520 eligible participants were included in the analysis. School-level data were drawn from students, headteachers and Baidu Maps, and province-level data were obtained from the national human development report. The Patient Health Questionnaire-2 was used to measure depressive symptoms. RESULTS Areas with the highest mean scores for depressive symptoms were in the northeastern, inner central and southwestern regions of China. At the individual level, younger age, male sex, being an only child, Han ethnicity, lower body mass index, more days of exercise, less drinking and smoking behaviours, higher subjective family socio-economic status (SES) and popularity in school were related to fewer depressive symptoms; however, objective family SES and maternal education were not related to fewer depressive symptoms. The school-level variables of public status, psychological activities and psychological courses and province-level variable of higher Human Development Index were associated with fewer depressive symptoms. The effect of psychological courses and activities on depressive symptoms was greater in females. CONCLUSIONS The results showed multilevel factors related to depressive symptoms and emphasised the importance of implementing school-based psychological activities to ameliorate depressive symptoms in Chinese children and adolescents across age and gender.
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Affiliation(s)
- P Zhang
- Department of Psychology, Tsinghua University, Beijing 100084, China
| | - N Huang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China
| | - F Yang
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China
| | - W Yan
- Department of Psychology, Tsinghua University, Beijing 100084, China.
| | - B Zhang
- Department of Neurology, Boston Children's Hospital, Boston, MA 02215, United States
| | - X Liu
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China
| | - K Peng
- Department of Psychology, Tsinghua University, Beijing 100084, China
| | - J Guo
- Department of Health Policy and Management, School of Public Health, Peking University, Beijing 100191, China.
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Staplin N, Haynes R, Judge PK, Wanner C, Green JB, Emberson J, Preiss D, Mayne KJ, Ng SYA, Sammons E, Zhu D, Hill M, Stevens W, Wallendszus K, Brenner S, Cheung AK, Liu ZH, Li J, Hooi LS, Liu WJ, Kadowaki T, Nangaku M, Levin A, Cherney D, Maggioni AP, Pontremoli R, Deo R, Goto S, Rossello X, Tuttle KR, Steubl D, Petrini M, Seidi S, Landray MJ, Baigent C, Herrington WG, Abat S, Abd Rahman R, Abdul Cader R, Abdul Hafidz MI, Abdul Wahab MZ, Abdullah NK, Abdul-Samad T, Abe M, Abraham N, Acheampong S, Achiri P, Acosta JA, Adeleke A, Adell V, Adewuyi-Dalton R, Adnan N, Africano A, Agharazii M, Aguilar F, Aguilera A, Ahmad M, Ahmad MK, Ahmad NA, Ahmad NH, Ahmad NI, Ahmad Miswan N, Ahmad Rosdi H, Ahmed I, Ahmed S, Ahmed S, Aiello J, Aitken A, AitSadi R, Aker S, Akimoto S, Akinfolarin A, Akram S, Alberici F, Albert C, Aldrich L, Alegata M, Alexander L, Alfaress S, Alhadj Ali M, Ali A, Ali A, Alicic R, Aliu A, Almaraz R, Almasarwah R, Almeida J, Aloisi A, Al-Rabadi L, Alscher D, Alvarez P, Al-Zeer B, Amat M, Ambrose C, Ammar H, An Y, Andriaccio L, Ansu K, Apostolidi A, Arai N, Araki H, Araki S, Arbi A, Arechiga O, Armstrong S, Arnold T, Aronoff S, Arriaga W, Arroyo J, Arteaga D, Asahara S, Asai A, Asai N, Asano S, Asawa M, Asmee MF, Aucella F, Augustin M, Avery A, Awad A, Awang IY, Awazawa M, Axler A, Ayub W, Azhari Z, Baccaro R, Badin C, Bagwell B, Bahlmann-Kroll E, Bahtar AZ, Baigent C, Bains D, Bajaj H, Baker R, Baldini E, Banas B, Banerjee D, Banno S, Bansal S, Barberi S, Barnes S, Barnini C, Barot C, Barrett K, Barrios R, Bartolomei Mecatti B, Barton I, Barton J, Basily W, Bavanandan S, Baxter A, Becker L, Beddhu S, Beige J, Beigh S, Bell S, Benck U, Beneat A, Bennett A, Bennett D, Benyon S, Berdeprado J, Bergler T, Bergner A, Berry M, Bevilacqua M, Bhairoo J, Bhandari S, Bhandary N, Bhatt A, Bhattarai M, Bhavsar M, Bian W, Bianchini F, Bianco S, Bilous R, Bilton J, Bilucaglia D, Bird C, Birudaraju D, Biscoveanu M, Blake C, Bleakley N, Bocchicchia K, Bodine S, Bodington R, Boedecker S, Bolduc M, Bolton S, Bond C, Boreky F, Boren K, Bouchi R, Bough L, Bovan D, Bowler C, Bowman L, Brar N, Braun C, Breach A, Breitenfeldt M, Brenner S, Brettschneider B, Brewer A, Brewer G, Brindle V, Brioni E, Brown C, Brown H, Brown L, Brown R, Brown S, Browne D, Bruce K, Brueckmann M, Brunskill N, Bryant M, Brzoska M, Bu Y, Buckman C, Budoff M, Bullen M, Burke A, Burnette S, Burston C, Busch M, Bushnell J, Butler S, Büttner C, Byrne C, Caamano A, Cadorna J, Cafiero C, Cagle M, Cai J, Calabrese K, Calvi C, Camilleri B, Camp S, Campbell D, Campbell R, Cao H, Capelli I, Caple M, Caplin B, Cardone A, Carle J, Carnall V, Caroppo M, Carr S, Carraro G, Carson M, Casares P, Castillo C, Castro C, Caudill B, Cejka V, Ceseri M, Cham L, Chamberlain A, Chambers J, Chan CBT, Chan JYM, Chan YC, Chang E, Chang E, Chant T, Chavagnon T, Chellamuthu P, Chen F, Chen J, Chen P, Chen TM, Chen Y, Chen Y, Cheng C, Cheng H, Cheng MC, Cherney D, Cheung AK, Ching CH, Chitalia N, Choksi R, Chukwu C, Chung K, Cianciolo G, Cipressa L, Clark S, Clarke H, Clarke R, Clarke S, Cleveland B, Cole E, Coles H, Condurache L, Connor A, Convery K, Cooper A, Cooper N, Cooper Z, Cooperman L, Cosgrove L, Coutts P, Cowley A, Craik R, Cui G, Cummins T, Dahl N, Dai H, Dajani L, D'Amelio A, Damian E, Damianik K, Danel L, Daniels C, Daniels T, Darbeau S, Darius H, Dasgupta T, Davies J, Davies L, Davis A, Davis J, Davis L, Dayanandan R, Dayi S, Dayrell R, De Nicola L, Debnath S, Deeb W, Degenhardt S, DeGoursey K, Delaney M, Deo R, DeRaad R, Derebail V, Dev D, Devaux M, Dhall P, Dhillon G, Dienes J, Dobre M, Doctolero E, Dodds V, Domingo D, Donaldson D, Donaldson P, Donhauser C, Donley V, Dorestin S, Dorey S, Doulton T, Draganova D, Draxlbauer K, Driver F, Du H, Dube F, Duck T, Dugal T, Dugas J, Dukka H, Dumann H, Durham W, Dursch M, Dykas R, Easow R, Eckrich E, Eden G, Edmerson E, Edwards H, Ee LW, Eguchi J, Ehrl Y, Eichstadt K, Eid W, Eilerman B, Ejima Y, Eldon H, Ellam T, Elliott L, Ellison R, Emberson J, Epp R, Er A, Espino-Obrero M, Estcourt S, Estienne L, Evans G, Evans J, Evans S, Fabbri G, Fajardo-Moser M, Falcone C, Fani F, Faria-Shayler P, Farnia F, Farrugia D, Fechter M, Fellowes D, Feng F, Fernandez J, Ferraro P, Field A, Fikry S, Finch J, Finn H, Fioretto P, Fish R, Fleischer A, Fleming-Brown D, Fletcher L, Flora R, Foellinger C, Foligno N, Forest S, Forghani Z, Forsyth K, Fottrell-Gould D, Fox P, Frankel A, Fraser D, Frazier R, Frederick K, Freking N, French H, Froment A, Fuchs B, Fuessl L, Fujii H, Fujimoto A, Fujita A, Fujita K, Fujita Y, Fukagawa M, Fukao Y, Fukasawa A, Fuller T, Funayama T, Fung E, Furukawa M, Furukawa Y, Furusho M, Gabel S, Gaidu J, Gaiser S, Gallo K, Galloway C, Gambaro G, Gan CC, Gangemi C, Gao M, Garcia K, Garcia M, Garofalo C, Garrity M, Garza A, Gasko S, Gavrila M, Gebeyehu B, Geddes A, Gentile G, George A, George J, Gesualdo L, Ghalli F, Ghanem A, Ghate T, Ghavampour S, Ghazi A, Gherman A, Giebeln-Hudnell U, Gill B, Gillham S, Girakossyan I, Girndt M, Giuffrida A, Glenwright M, Glider T, Gloria R, Glowski D, Goh BL, Goh CB, Gohda T, Goldenberg R, Goldfaden R, Goldsmith C, Golson B, Gonce V, Gong Q, Goodenough B, Goodwin N, Goonasekera M, Gordon A, Gordon J, Gore A, Goto H, Goto S, Goto S, Gowen D, Grace A, Graham J, Grandaliano G, Gray M, Green JB, Greene T, Greenwood G, Grewal B, Grifa R, Griffin D, Griffin S, Grimmer P, Grobovaite E, Grotjahn S, Guerini A, Guest C, Gunda S, Guo B, Guo Q, Haack S, Haase M, Haaser K, Habuki K, Hadley A, Hagan S, Hagge S, Haller H, Ham S, Hamal S, Hamamoto Y, Hamano N, Hamm M, Hanburry A, Haneda M, Hanf C, Hanif W, Hansen J, Hanson L, Hantel S, Haraguchi T, Harding E, Harding T, Hardy C, Hartner C, Harun Z, Harvill L, Hasan A, Hase H, Hasegawa F, Hasegawa T, Hashimoto A, Hashimoto C, Hashimoto M, Hashimoto S, Haskett S, Hauske SJ, Hawfield A, Hayami T, Hayashi M, Hayashi S, Haynes R, Hazara A, Healy C, Hecktman J, Heine G, Henderson H, Henschel R, Hepditch A, Herfurth K, Hernandez G, Hernandez Pena A, Hernandez-Cassis C, Herrington WG, Herzog C, Hewins S, Hewitt D, Hichkad L, Higashi S, Higuchi C, Hill C, Hill L, Hill M, Himeno T, Hing A, Hirakawa Y, Hirata K, Hirota Y, Hisatake T, Hitchcock S, Hodakowski A, Hodge W, Hogan R, Hohenstatt U, Hohenstein B, Hooi L, Hope S, Hopley M, Horikawa S, Hosein D, Hosooka T, Hou L, Hou W, Howie L, Howson A, Hozak M, Htet Z, Hu X, Hu Y, Huang J, Huda N, Hudig L, Hudson A, Hugo C, Hull R, Hume L, Hundei W, Hunt N, Hunter A, Hurley S, Hurst A, Hutchinson C, Hyo T, Ibrahim FH, Ibrahim S, Ihana N, Ikeda T, Imai A, Imamine R, Inamori A, Inazawa H, Ingell J, Inomata K, Inukai Y, Ioka M, Irtiza-Ali A, Isakova T, Isari W, Iselt M, Ishiguro A, Ishihara K, Ishikawa T, Ishimoto T, Ishizuka K, Ismail R, Itano S, Ito H, Ito K, Ito M, Ito Y, Iwagaitsu S, Iwaita Y, Iwakura T, Iwamoto M, Iwasa M, Iwasaki H, Iwasaki S, Izumi K, Izumi K, Izumi T, Jaafar SM, Jackson C, Jackson Y, Jafari G, Jahangiriesmaili M, Jain N, Jansson K, Jasim H, Jeffers L, Jenkins A, Jesky M, Jesus-Silva J, Jeyarajah D, Jiang Y, Jiao X, Jimenez G, Jin B, Jin Q, Jochims J, Johns B, Johnson C, Johnson T, Jolly S, Jones L, Jones L, Jones S, Jones T, Jones V, Joseph M, Joshi S, Judge P, Junejo N, Junus S, Kachele M, Kadowaki T, Kadoya H, Kaga H, Kai H, Kajio H, Kaluza-Schilling W, Kamaruzaman L, Kamarzarian A, Kamimura Y, Kamiya H, Kamundi C, Kan T, Kanaguchi Y, Kanazawa A, Kanda E, Kanegae S, Kaneko K, Kaneko K, Kang HY, Kano T, Karim M, Karounos D, Karsan W, Kasagi R, Kashihara N, Katagiri H, Katanosaka A, Katayama A, Katayama M, Katiman E, Kato K, Kato M, Kato N, Kato S, Kato T, Kato Y, Katsuda Y, Katsuno T, Kaufeld J, Kavak Y, Kawai I, Kawai M, Kawai M, Kawase A, Kawashima S, Kazory A, Kearney J, Keith B, Kellett J, Kelley S, Kershaw M, Ketteler M, Khai Q, Khairullah Q, Khandwala H, Khoo KKL, Khwaja A, Kidokoro K, Kielstein J, Kihara M, Kimber C, Kimura S, Kinashi H, Kingston H, Kinomura M, Kinsella-Perks E, Kitagawa M, Kitajima M, Kitamura S, Kiyosue A, Kiyota M, Klauser F, Klausmann G, Kmietschak W, Knapp K, Knight C, Knoppe A, Knott C, Kobayashi M, Kobayashi R, Kobayashi T, Koch M, Kodama S, Kodani N, Kogure E, Koizumi M, Kojima H, Kojo T, Kolhe N, Komaba H, Komiya T, Komori H, Kon SP, Kondo M, Kondo M, Kong W, Konishi M, Kono K, Koshino M, Kosugi T, Kothapalli B, Kozlowski T, Kraemer B, Kraemer-Guth A, Krappe J, Kraus D, Kriatselis C, Krieger C, Krish P, Kruger B, Ku Md Razi KR, Kuan Y, Kubota S, Kuhn S, Kumar P, Kume S, Kummer I, Kumuji R, Küpper A, Kuramae T, Kurian L, Kuribayashi C, Kurien R, Kuroda E, Kurose T, Kutschat A, Kuwabara N, Kuwata H, La Manna G, Lacey M, Lafferty K, LaFleur P, Lai V, Laity E, Lambert A, Landray MJ, Langlois M, Latif F, Latore E, Laundy E, Laurienti D, Lawson A, Lay M, Leal I, Leal I, Lee AK, Lee J, Lee KQ, Lee R, Lee SA, Lee YY, Lee-Barkey Y, Leonard N, Leoncini G, Leong CM, Lerario S, Leslie A, Levin A, Lewington A, Li J, Li N, Li X, Li Y, Liberti L, Liberti ME, Liew A, Liew YF, Lilavivat U, Lim SK, Lim YS, Limon E, Lin H, Lioudaki E, Liu H, Liu J, Liu L, Liu Q, Liu WJ, Liu X, Liu Z, Loader D, Lochhead H, Loh CL, Lorimer A, Loudermilk L, Loutan J, Low CK, Low CL, Low YM, Lozon Z, Lu Y, Lucci D, Ludwig U, Luker N, Lund D, Lustig R, Lyle S, Macdonald C, MacDougall I, Machicado R, MacLean D, Macleod P, Madera A, Madore F, Maeda K, Maegawa H, Maeno S, Mafham M, Magee J, Maggioni AP, Mah DY, Mahabadi V, Maiguma M, Makita Y, Makos G, Manco L, Mangiacapra R, Manley J, Mann P, Mano S, Marcotte G, Maris J, Mark P, Markau S, Markovic M, Marshall C, Martin M, Martinez C, Martinez S, Martins G, Maruyama K, Maruyama S, Marx K, Maselli A, Masengu A, Maskill A, Masumoto S, Masutani K, Matsumoto M, Matsunaga T, Matsuoka N, Matsushita M, Matthews M, Matthias S, Matvienko E, Maurer M, Maxwell P, Mayne KJ, Mazlan N, Mazlan SA, Mbuyisa A, McCafferty K, McCarroll F, McCarthy T, McClary-Wright C, McCray K, McDermott P, McDonald C, McDougall R, McHaffie E, McIntosh K, McKinley T, McLaughlin S, McLean N, McNeil L, Measor A, Meek J, Mehta A, Mehta R, Melandri M, Mené P, Meng T, Menne J, Merritt K, Merscher S, Meshykhi C, Messa P, Messinger L, Miftari N, Miller R, Miller Y, Miller-Hodges E, Minatoguchi M, Miners M, Minutolo R, Mita T, Miura Y, Miyaji M, Miyamoto S, Miyatsuka T, Miyazaki M, Miyazawa I, Mizumachi R, Mizuno M, Moffat S, Mohamad Nor FS, Mohamad Zaini SN, Mohamed Affandi FA, Mohandas C, Mohd R, Mohd Fauzi NA, Mohd Sharif NH, Mohd Yusoff Y, Moist L, Moncada A, Montasser M, Moon A, Moran C, Morgan N, Moriarty J, Morig G, Morinaga H, Morino K, Morisaki T, Morishita Y, Morlok S, Morris A, Morris F, Mostafa S, Mostefai Y, Motegi M, Motherwell N, Motta D, Mottl A, Moys R, Mozaffari S, Muir J, Mulhern J, Mulligan S, Munakata Y, Murakami C, Murakoshi M, Murawska A, Murphy K, Murphy L, Murray S, Murtagh H, Musa MA, Mushahar L, Mustafa R, Mustafar R, Muto M, Nadar E, Nagano R, Nagasawa T, Nagashima E, Nagasu H, Nagelberg S, Nair H, Nakagawa Y, Nakahara M, Nakamura J, Nakamura R, Nakamura T, Nakaoka M, Nakashima E, Nakata J, Nakata M, Nakatani S, Nakatsuka A, Nakayama Y, Nakhoul G, Nangaku M, Naverrete G, Navivala A, Nazeer I, Negrea L, Nethaji C, Newman E, Ng SYA, Ng TJ, Ngu LLS, Nimbkar T, Nishi H, Nishi M, Nishi S, Nishida Y, Nishiyama A, Niu J, Niu P, Nobili G, Nohara N, Nojima I, Nolan J, Nosseir H, Nozawa M, Nunn M, Nunokawa S, Oda M, Oe M, Oe Y, Ogane K, Ogawa W, Ogihara T, Oguchi G, Ohsugi M, Oishi K, Okada Y, Okajyo J, Okamoto S, Okamura K, Olufuwa O, Oluyombo R, Omata A, Omori Y, Ong LM, Ong YC, Onyema J, Oomatia A, Oommen A, Oremus R, Orimo Y, Ortalda V, Osaki Y, Osawa Y, Osmond Foster J, O'Sullivan A, Otani T, Othman N, Otomo S, O'Toole J, Owen L, Ozawa T, Padiyar A, Page N, Pajak S, Paliege A, Pandey A, Pandey R, Pariani H, Park J, Parrigon M, Passauer J, Patecki M, Patel M, Patel R, Patel T, Patel Z, Paul R, Paul R, Paulsen L, Pavone L, Peixoto A, Peji J, Peng BC, Peng K, Pennino L, Pereira E, Perez E, Pergola P, Pesce F, Pessolano G, Petchey W, Petr EJ, Pfab T, Phelan P, Phillips R, Phillips T, Phipps M, Piccinni G, Pickett T, Pickworth S, Piemontese M, Pinto D, Piper J, Plummer-Morgan J, Poehler D, Polese L, Poma V, Pontremoli R, Postal A, Pötz C, Power A, Pradhan N, Pradhan R, Preiss D, Preiss E, Preston K, Prib N, Price L, Provenzano C, Pugay C, Pulido R, Putz F, Qiao Y, Quartagno R, Quashie-Akponeware M, Rabara R, Rabasa-Lhoret R, Radhakrishnan D, Radley M, Raff R, Raguwaran S, Rahbari-Oskoui F, Rahman M, Rahmat K, Ramadoss S, Ramanaidu S, Ramasamy S, Ramli R, Ramli S, Ramsey T, Rankin A, Rashidi A, Raymond L, Razali WAFA, Read K, Reiner H, Reisler A, Reith C, Renner J, Rettenmaier B, Richmond L, Rijos D, Rivera R, Rivers V, Robinson H, Rocco M, Rodriguez-Bachiller I, Rodriquez R, Roesch C, Roesch J, Rogers J, Rohnstock M, Rolfsmeier S, Roman M, Romo A, Rosati A, Rosenberg S, Ross T, Rossello X, Roura M, Roussel M, Rovner S, Roy S, Rucker S, Rump L, Ruocco M, Ruse S, Russo F, Russo M, Ryder M, Sabarai A, Saccà C, Sachson R, Sadler E, Safiee NS, Sahani M, Saillant A, Saini J, Saito C, Saito S, Sakaguchi K, Sakai M, Salim H, Salviani C, Sammons E, Sampson A, Samson F, Sandercock P, Sanguila S, Santorelli G, Santoro D, Sarabu N, Saram T, Sardell R, Sasajima H, Sasaki T, Satko S, Sato A, Sato D, Sato H, Sato H, Sato J, Sato T, Sato Y, Satoh M, Sawada K, Schanz M, Scheidemantel F, Schemmelmann M, Schettler E, Schettler V, Schlieper GR, Schmidt C, Schmidt G, Schmidt U, Schmidt-Gurtler H, Schmude M, Schneider A, Schneider I, Schneider-Danwitz C, Schomig M, Schramm T, Schreiber A, Schricker S, Schroppel B, Schulte-Kemna L, Schulz E, Schumacher B, Schuster A, Schwab A, Scolari F, Scott A, Seeger W, Seeger W, Segal M, Seifert L, Seifert M, Sekiya M, Sellars R, Seman MR, Shah S, Shah S, Shainberg L, Shanmuganathan M, Shao F, Sharma K, Sharpe C, Sheikh-Ali M, Sheldon J, Shenton C, Shepherd A, Shepperd M, Sheridan R, Sheriff Z, Shibata Y, Shigehara T, Shikata K, Shimamura K, Shimano H, Shimizu Y, Shimoda H, Shin K, Shivashankar G, Shojima N, Silva R, Sim CSB, Simmons K, Sinha S, Sitter T, Sivanandam S, Skipper M, Sloan K, Sloan L, Smith R, Smyth J, Sobande T, Sobata M, Somalanka S, Song X, Sonntag F, Sood B, Sor SY, Soufer J, Sparks H, Spatoliatore G, Spinola T, Squyres S, Srivastava A, Stanfield J, Staplin N, Staylor K, Steele A, Steen O, Steffl D, Stegbauer J, Stellbrink C, Stellbrink E, Stevens W, Stevenson A, Stewart-Ray V, Stickley J, Stoffler D, Stratmann B, Streitenberger S, Strutz F, Stubbs J, Stumpf J, Suazo N, Suchinda P, Suckling R, Sudin A, Sugamori K, Sugawara H, Sugawara K, Sugimoto D, Sugiyama H, Sugiyama H, Sugiyama T, Sullivan M, Sumi M, Suresh N, Sutton D, Suzuki H, Suzuki R, Suzuki Y, Suzuki Y, Suzuki Y, Swanson E, Swift P, Syed S, Szerlip H, Taal M, Taddeo M, Tailor C, Tajima K, Takagi M, Takahashi K, Takahashi K, Takahashi M, Takahashi T, Takahira E, Takai T, Takaoka M, Takeoka J, Takesada A, Takezawa M, Talbot M, Taliercio J, Talsania T, Tamori 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Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Effects of empagliflozin on progression of chronic kidney disease: a prespecified secondary analysis from the empa-kidney trial. Lancet Diabetes Endocrinol 2024; 12:39-50. [PMID: 38061371 PMCID: PMC7615591 DOI: 10.1016/s2213-8587(23)00321-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Sodium-glucose co-transporter-2 (SGLT2) inhibitors reduce progression of chronic kidney disease and the risk of cardiovascular morbidity and mortality in a wide range of patients. However, their effects on kidney disease progression in some patients with chronic kidney disease are unclear because few clinical kidney outcomes occurred among such patients in the completed trials. In particular, some guidelines stratify their level of recommendation about who should be treated with SGLT2 inhibitors based on diabetes status and albuminuria. We aimed to assess the effects of empagliflozin on progression of chronic kidney disease both overall and among specific types of participants in the EMPA-KIDNEY trial. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA), and included individuals aged 18 years or older with an estimated glomerular filtration rate (eGFR) of 20 to less than 45 mL/min per 1·73 m2, or with an eGFR of 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher. We explored the effects of 10 mg oral empagliflozin once daily versus placebo on the annualised rate of change in estimated glomerular filtration rate (eGFR slope), a tertiary outcome. We studied the acute slope (from randomisation to 2 months) and chronic slope (from 2 months onwards) separately, using shared parameter models to estimate the latter. Analyses were done in all randomly assigned participants by intention to treat. EMPA-KIDNEY is registered at ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and then followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroups of eGFR included 2282 (34·5%) participants with an eGFR of less than 30 mL/min per 1·73 m2, 2928 (44·3%) with an eGFR of 30 to less than 45 mL/min per 1·73 m2, and 1399 (21·2%) with an eGFR 45 mL/min per 1·73 m2 or higher. Prespecified subgroups of uACR included 1328 (20·1%) with a uACR of less than 30 mg/g, 1864 (28·2%) with a uACR of 30 to 300 mg/g, and 3417 (51·7%) with a uACR of more than 300 mg/g. Overall, allocation to empagliflozin caused an acute 2·12 mL/min per 1·73 m2 (95% CI 1·83-2·41) reduction in eGFR, equivalent to a 6% (5-6) dip in the first 2 months. After this, it halved the chronic slope from -2·75 to -1·37 mL/min per 1·73 m2 per year (relative difference 50%, 95% CI 42-58). The absolute and relative benefits of empagliflozin on the magnitude of the chronic slope varied significantly depending on diabetes status and baseline levels of eGFR and uACR. In particular, the absolute difference in chronic slopes was lower in patients with lower baseline uACR, but because this group progressed more slowly than those with higher uACR, this translated to a larger relative difference in chronic slopes in this group (86% [36-136] reduction in the chronic slope among those with baseline uACR <30 mg/g compared with a 29% [19-38] reduction for those with baseline uACR ≥2000 mg/g; ptrend<0·0001). INTERPRETATION Empagliflozin slowed the rate of progression of chronic kidney disease among all types of participant in the EMPA-KIDNEY trial, including those with little albuminuria. Albuminuria alone should not be used to determine whether to treat with an SGLT2 inhibitor. FUNDING Boehringer Ingelheim and Eli Lilly.
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Peng K, Xie L, Hong R, Wu Z, Gu H, He Y, Xing Z, Guan Q, Pan L, Jin L, Li L. Early-onset and late-onset Parkinson's disease exhibit a different profile of gait and posture features based on the Kinect. Neurol Sci 2024; 45:139-147. [PMID: 37555875 DOI: 10.1007/s10072-023-07009-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/03/2023] [Indexed: 08/10/2023]
Abstract
INTRODUCTION Gait and posture abnormalities are the common disabling motor symptoms in Parkinson's disease (PD). This study aims to investigate the differential characteristics of gait and posture in early-onset PD (EOPD) and late-onset PD (LOPD) using the Kinect depth camera. METHODS Eighty-eight participants, including two subgroups of 22 PD patients and two subgroups of 22 healthy controls (HC) matched for age, sex, and height, were enrolled. Gait and posture features were quantitatively assessed using a Kinect-based system. A two-way analysis of variance was used to compare the difference between different subgroups. RESULTS EOPD had a significantly higher Gait score than LOPD (p = 0.031). Specifically, decreased swing phase (p = 0.034) was observed in the EOPD group. Although the Posture score was similar between the two groups, LOPD was characterized by an increased forward flexion angle of the trunk at the thorax (p = 0.042) and a decreased forward flexion angle of the head relative to the trunk (p = 0.009). Additionally, age-independent features were observed in both PD subgroups, and post hoc tests revealed that EOPD generally performed worse gait features. In comparison, LOPD was characterized by worse performance in posture features. CONCLUSIONS EOPD and LOPD exhibit different profiles of gait and posture features. The phenotype-specific characteristics likely reflect the distinct neurodegenerative processes between them.
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Affiliation(s)
- Kangwen Peng
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ludi Xie
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ronghua Hong
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Zhuang Wu
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hongkai Gu
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yijing He
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ziwen Xing
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qiang Guan
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lizhen Pan
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons' Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China.
- Collaborative Innovation Center for Brain Science (Sponsored By Shanghai Blue Cross Brain Hospital Co., Ltd. and Shanghai Tongji University Education Development Foundation), Tongji University, Shanghai, China.
| | - Lixi Li
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
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Bodine S, Bodington R, Boedecker S, Bolduc M, Bolton S, Bond C, Boreky F, Boren K, Bouchi R, Bough L, Bovan D, Bowler C, Bowman L, Brar N, Braun C, Breach A, Breitenfeldt M, Brenner S, Brettschneider B, Brewer A, Brewer G, Brindle V, Brioni E, Brown C, Brown H, Brown L, Brown R, Brown S, Browne D, Bruce K, Brueckmann M, Brunskill N, Bryant M, Brzoska M, Bu Y, Buckman C, Budoff M, Bullen M, Burke A, Burnette S, Burston C, Busch M, Bushnell J, Butler S, Büttner C, Byrne C, Caamano A, Cadorna J, Cafiero C, Cagle M, Cai J, Calabrese K, Calvi C, Camilleri B, Camp S, Campbell D, Campbell R, Cao H, Capelli I, Caple M, Caplin B, Cardone A, Carle J, Carnall V, Caroppo M, Carr S, Carraro G, Carson M, Casares P, Castillo C, Castro C, Caudill B, Cejka V, Ceseri M, Cham L, Chamberlain A, Chambers J, Chan CBT, Chan JYM, Chan YC, Chang E, Chang E, Chant T, Chavagnon T, Chellamuthu P, Chen F, Chen J, Chen P, Chen TM, Chen Y, Chen Y, Cheng C, Cheng H, Cheng MC, Cherney D, Cheung AK, Ching CH, Chitalia N, Choksi R, Chukwu C, Chung K, Cianciolo G, Cipressa L, Clark S, Clarke H, Clarke R, Clarke S, Cleveland B, Cole E, Coles H, Condurache L, Connor A, Convery K, Cooper A, Cooper N, Cooper Z, Cooperman L, Cosgrove L, Coutts P, Cowley A, Craik R, Cui G, Cummins T, Dahl N, Dai H, Dajani L, D'Amelio A, Damian E, Damianik K, Danel L, Daniels C, Daniels T, Darbeau S, Darius H, Dasgupta T, Davies J, Davies L, Davis A, Davis J, Davis L, Dayanandan R, Dayi S, Dayrell R, De Nicola L, Debnath S, Deeb W, Degenhardt S, DeGoursey K, Delaney M, Deo R, DeRaad R, Derebail V, Dev D, Devaux M, Dhall P, Dhillon G, Dienes J, Dobre M, Doctolero E, Dodds V, Domingo D, Donaldson D, Donaldson P, Donhauser C, Donley V, Dorestin S, Dorey S, Doulton T, Draganova D, Draxlbauer K, Driver F, Du H, Dube F, Duck T, Dugal T, Dugas J, Dukka H, Dumann H, Durham W, Dursch M, Dykas R, Easow R, Eckrich E, Eden G, Edmerson E, Edwards H, Ee LW, Eguchi J, Ehrl Y, Eichstadt K, Eid W, Eilerman B, Ejima Y, Eldon H, Ellam T, Elliott L, Ellison R, Emberson J, Epp R, Er A, Espino-Obrero M, Estcourt S, Estienne L, Evans G, Evans J, Evans S, Fabbri G, Fajardo-Moser M, Falcone C, Fani F, Faria-Shayler P, Farnia F, Farrugia D, Fechter M, Fellowes D, Feng F, Fernandez J, Ferraro P, Field A, Fikry S, Finch J, Finn H, Fioretto P, Fish R, Fleischer A, Fleming-Brown D, Fletcher L, Flora R, Foellinger C, Foligno N, Forest S, Forghani Z, Forsyth K, Fottrell-Gould D, Fox P, Frankel A, Fraser D, Frazier R, Frederick K, Freking N, French H, Froment A, Fuchs B, Fuessl L, Fujii H, Fujimoto A, Fujita A, Fujita K, Fujita Y, Fukagawa M, Fukao Y, Fukasawa A, Fuller T, Funayama T, Fung E, Furukawa M, Furukawa Y, Furusho M, Gabel S, Gaidu J, Gaiser S, Gallo K, Galloway C, Gambaro G, Gan CC, Gangemi C, Gao M, Garcia K, Garcia M, Garofalo C, Garrity M, Garza A, Gasko S, Gavrila M, Gebeyehu B, Geddes A, Gentile G, George A, George J, Gesualdo L, Ghalli F, Ghanem A, Ghate T, Ghavampour S, Ghazi A, Gherman A, Giebeln-Hudnell U, Gill B, Gillham S, Girakossyan I, Girndt M, Giuffrida A, Glenwright M, Glider T, Gloria R, Glowski D, Goh BL, Goh CB, Gohda T, Goldenberg R, Goldfaden R, Goldsmith C, Golson B, Gonce V, Gong Q, Goodenough B, Goodwin N, Goonasekera M, Gordon A, Gordon J, Gore A, Goto H, Goto S, Goto S, Gowen D, Grace A, Graham J, Grandaliano G, Gray M, Green JB, Greene T, Greenwood G, Grewal B, Grifa R, Griffin D, Griffin S, Grimmer P, Grobovaite E, Grotjahn S, Guerini A, Guest C, Gunda S, Guo B, Guo Q, Haack S, Haase M, Haaser K, Habuki K, Hadley A, Hagan S, Hagge S, Haller H, Ham S, Hamal S, Hamamoto Y, Hamano N, Hamm M, Hanburry A, Haneda M, Hanf C, Hanif W, Hansen J, Hanson L, Hantel S, Haraguchi T, Harding E, Harding T, Hardy C, Hartner C, Harun Z, Harvill L, Hasan A, Hase H, Hasegawa F, Hasegawa T, Hashimoto A, Hashimoto C, Hashimoto M, Hashimoto S, Haskett S, Hauske SJ, Hawfield A, Hayami T, Hayashi M, Hayashi S, Haynes R, Hazara A, Healy C, Hecktman J, Heine G, Henderson H, Henschel R, Hepditch A, Herfurth K, Hernandez G, Hernandez Pena A, Hernandez-Cassis C, Herrington WG, Herzog C, Hewins S, Hewitt D, Hichkad L, Higashi S, Higuchi C, Hill C, Hill L, Hill M, Himeno T, Hing A, Hirakawa Y, Hirata K, Hirota Y, Hisatake T, Hitchcock S, Hodakowski A, Hodge W, Hogan R, Hohenstatt U, Hohenstein B, Hooi L, Hope S, Hopley M, Horikawa S, Hosein D, Hosooka T, Hou L, Hou W, Howie L, Howson A, Hozak M, Htet Z, Hu X, Hu Y, Huang J, Huda N, Hudig L, Hudson A, Hugo C, Hull R, Hume L, Hundei W, Hunt N, Hunter A, Hurley S, Hurst A, Hutchinson C, Hyo T, Ibrahim FH, Ibrahim S, Ihana N, Ikeda T, Imai A, Imamine R, Inamori A, Inazawa H, Ingell J, Inomata K, Inukai Y, Ioka M, Irtiza-Ali A, Isakova T, Isari W, Iselt M, Ishiguro A, Ishihara K, Ishikawa T, Ishimoto T, Ishizuka K, Ismail R, Itano S, Ito H, Ito K, Ito M, Ito Y, Iwagaitsu S, Iwaita Y, Iwakura T, Iwamoto M, Iwasa M, Iwasaki H, Iwasaki S, Izumi K, Izumi K, Izumi T, Jaafar SM, Jackson C, Jackson Y, Jafari G, Jahangiriesmaili M, Jain N, Jansson K, Jasim H, Jeffers L, Jenkins A, Jesky M, Jesus-Silva J, Jeyarajah D, Jiang Y, Jiao X, Jimenez G, Jin B, Jin Q, Jochims J, Johns B, Johnson C, Johnson T, Jolly S, Jones L, Jones L, Jones S, Jones T, Jones V, Joseph M, Joshi S, Judge P, Junejo N, Junus S, Kachele M, Kadowaki T, Kadoya H, Kaga H, Kai H, Kajio H, Kaluza-Schilling W, Kamaruzaman L, Kamarzarian A, Kamimura Y, Kamiya H, Kamundi C, Kan T, Kanaguchi Y, Kanazawa A, Kanda E, Kanegae S, Kaneko K, Kaneko K, Kang HY, Kano T, Karim M, Karounos D, Karsan W, Kasagi R, Kashihara N, Katagiri H, Katanosaka A, Katayama A, Katayama M, Katiman E, Kato K, Kato M, Kato N, Kato S, Kato T, Kato Y, Katsuda Y, Katsuno T, Kaufeld J, Kavak Y, Kawai I, Kawai M, Kawai M, Kawase A, Kawashima S, Kazory A, Kearney J, Keith B, Kellett J, Kelley S, Kershaw M, Ketteler M, Khai Q, Khairullah Q, Khandwala H, Khoo KKL, Khwaja A, Kidokoro K, Kielstein J, Kihara M, Kimber C, Kimura S, Kinashi H, Kingston H, Kinomura M, Kinsella-Perks E, Kitagawa M, Kitajima M, Kitamura S, Kiyosue A, Kiyota M, Klauser F, Klausmann G, Kmietschak W, Knapp K, Knight C, Knoppe A, Knott C, Kobayashi M, Kobayashi R, Kobayashi T, Koch M, Kodama S, Kodani N, Kogure E, Koizumi M, Kojima H, Kojo T, Kolhe N, Komaba H, Komiya T, Komori H, Kon SP, Kondo M, Kondo M, Kong W, Konishi M, Kono K, Koshino M, Kosugi T, Kothapalli B, Kozlowski T, Kraemer B, Kraemer-Guth A, Krappe J, Kraus D, Kriatselis C, Krieger C, Krish P, Kruger B, Ku Md Razi KR, Kuan Y, Kubota S, Kuhn S, Kumar P, Kume S, Kummer I, Kumuji R, Küpper A, Kuramae T, Kurian L, Kuribayashi C, Kurien R, Kuroda E, Kurose T, Kutschat A, Kuwabara N, Kuwata H, La Manna G, Lacey M, Lafferty K, LaFleur P, Lai V, Laity E, Lambert A, Landray MJ, Langlois M, Latif F, Latore E, Laundy E, Laurienti D, Lawson A, Lay M, Leal I, Leal I, Lee AK, Lee J, Lee KQ, Lee R, Lee SA, Lee YY, Lee-Barkey Y, Leonard N, Leoncini G, Leong CM, Lerario S, Leslie A, Levin A, Lewington A, Li J, Li N, Li X, Li Y, Liberti L, Liberti ME, Liew A, Liew YF, Lilavivat U, Lim SK, Lim YS, Limon E, Lin H, Lioudaki E, Liu H, Liu J, Liu L, Liu Q, Liu WJ, Liu X, Liu Z, Loader D, Lochhead H, Loh CL, Lorimer A, Loudermilk L, Loutan J, Low CK, Low CL, Low YM, Lozon Z, Lu Y, Lucci D, Ludwig U, Luker N, Lund D, Lustig R, Lyle S, Macdonald C, MacDougall I, Machicado R, MacLean D, Macleod P, Madera A, Madore F, Maeda K, Maegawa H, Maeno S, Mafham M, Magee J, Maggioni AP, Mah DY, Mahabadi V, Maiguma M, Makita Y, Makos G, Manco L, Mangiacapra R, Manley J, Mann P, Mano S, Marcotte G, Maris J, Mark P, Markau S, Markovic M, Marshall C, Martin M, Martinez C, Martinez S, Martins G, Maruyama K, Maruyama S, Marx K, Maselli A, Masengu A, Maskill A, Masumoto S, Masutani K, Matsumoto M, Matsunaga T, Matsuoka N, Matsushita M, Matthews M, Matthias S, Matvienko E, Maurer M, Maxwell P, Mayne KJ, Mazlan N, Mazlan SA, Mbuyisa A, McCafferty K, McCarroll F, McCarthy T, McClary-Wright C, McCray K, McDermott P, McDonald C, McDougall R, McHaffie E, McIntosh K, McKinley T, McLaughlin S, McLean N, McNeil L, Measor A, Meek J, Mehta A, Mehta R, Melandri M, Mené P, Meng T, Menne J, Merritt K, Merscher S, Meshykhi C, Messa P, Messinger L, Miftari N, Miller R, Miller Y, Miller-Hodges E, Minatoguchi M, Miners M, Minutolo R, Mita T, Miura Y, Miyaji M, Miyamoto S, Miyatsuka T, Miyazaki M, Miyazawa I, Mizumachi R, Mizuno M, Moffat S, Mohamad Nor FS, Mohamad Zaini SN, Mohamed Affandi FA, Mohandas C, Mohd R, Mohd Fauzi NA, Mohd Sharif NH, Mohd Yusoff Y, Moist L, Moncada A, Montasser M, Moon A, Moran C, Morgan N, Moriarty J, Morig G, Morinaga H, Morino K, Morisaki T, Morishita Y, Morlok S, Morris A, Morris F, Mostafa S, Mostefai Y, Motegi M, Motherwell N, Motta D, Mottl A, Moys R, Mozaffari S, Muir J, Mulhern J, Mulligan S, Munakata Y, Murakami C, Murakoshi M, Murawska A, Murphy K, Murphy L, Murray S, Murtagh H, Musa MA, Mushahar L, Mustafa R, Mustafar R, Muto M, Nadar E, Nagano R, Nagasawa T, Nagashima E, Nagasu H, Nagelberg S, Nair H, Nakagawa Y, Nakahara M, Nakamura J, Nakamura R, Nakamura T, Nakaoka M, Nakashima E, Nakata J, Nakata M, Nakatani S, Nakatsuka A, Nakayama Y, Nakhoul G, Nangaku M, Naverrete G, Navivala A, Nazeer I, Negrea L, Nethaji C, Newman E, Ng SYA, Ng TJ, Ngu LLS, Nimbkar T, Nishi H, Nishi M, Nishi S, Nishida Y, Nishiyama A, Niu J, Niu P, Nobili G, Nohara N, Nojima I, Nolan J, Nosseir H, Nozawa M, Nunn M, Nunokawa S, Oda M, Oe M, Oe Y, Ogane K, Ogawa W, Ogihara T, Oguchi G, Ohsugi M, Oishi K, Okada Y, Okajyo J, Okamoto S, Okamura K, Olufuwa O, Oluyombo R, Omata A, Omori Y, Ong LM, Ong YC, Onyema J, Oomatia A, Oommen A, Oremus R, Orimo Y, Ortalda V, Osaki Y, Osawa Y, Osmond Foster J, O'Sullivan A, Otani T, Othman N, Otomo S, O'Toole J, Owen L, Ozawa T, Padiyar A, Page N, Pajak S, Paliege A, Pandey A, Pandey R, Pariani H, Park J, Parrigon M, Passauer J, Patecki M, Patel M, Patel R, Patel T, Patel Z, Paul R, Paul R, Paulsen L, Pavone L, Peixoto A, Peji J, Peng BC, Peng K, Pennino L, Pereira E, Perez E, Pergola P, Pesce F, Pessolano G, Petchey W, Petr EJ, Pfab T, Phelan P, Phillips R, Phillips T, Phipps M, Piccinni G, Pickett T, Pickworth S, Piemontese M, Pinto D, Piper J, Plummer-Morgan J, Poehler D, Polese L, Poma V, Pontremoli R, Postal A, Pötz C, Power A, Pradhan N, Pradhan R, Preiss D, Preiss E, Preston K, Prib N, Price L, Provenzano C, Pugay C, Pulido R, Putz F, Qiao Y, Quartagno R, Quashie-Akponeware M, Rabara R, Rabasa-Lhoret R, Radhakrishnan D, Radley M, Raff R, Raguwaran S, Rahbari-Oskoui F, Rahman M, Rahmat K, Ramadoss S, Ramanaidu S, Ramasamy S, Ramli R, Ramli S, Ramsey T, Rankin A, Rashidi A, Raymond L, Razali WAFA, Read K, Reiner H, Reisler A, Reith C, Renner J, Rettenmaier B, Richmond L, Rijos D, Rivera R, Rivers V, Robinson H, Rocco M, Rodriguez-Bachiller I, Rodriquez R, Roesch C, Roesch J, Rogers J, Rohnstock M, Rolfsmeier S, Roman M, Romo A, Rosati A, Rosenberg S, Ross T, Rossello X, Roura M, Roussel M, Rovner S, Roy S, Rucker S, Rump L, Ruocco M, Ruse S, Russo F, Russo M, Ryder M, Sabarai A, Saccà C, Sachson R, Sadler E, Safiee NS, Sahani M, Saillant A, Saini J, Saito C, Saito S, Sakaguchi K, Sakai M, Salim H, Salviani C, Sammons E, Sampson A, Samson F, Sandercock P, Sanguila S, Santorelli G, Santoro D, Sarabu N, Saram T, Sardell R, Sasajima H, Sasaki T, Satko S, Sato A, Sato D, Sato H, Sato H, Sato J, Sato T, Sato Y, Satoh M, Sawada K, Schanz M, Scheidemantel F, Schemmelmann M, Schettler E, Schettler V, Schlieper GR, Schmidt C, Schmidt G, Schmidt U, Schmidt-Gurtler H, Schmude M, Schneider A, Schneider I, Schneider-Danwitz C, Schomig M, Schramm T, Schreiber A, Schricker S, Schroppel B, Schulte-Kemna L, Schulz E, Schumacher B, Schuster A, Schwab A, Scolari F, Scott A, Seeger W, Seeger W, Segal M, Seifert L, Seifert M, Sekiya M, Sellars R, Seman MR, Shah S, Shah S, Shainberg L, Shanmuganathan M, Shao F, Sharma K, Sharpe C, Sheikh-Ali M, Sheldon J, Shenton C, Shepherd A, Shepperd M, Sheridan R, Sheriff Z, Shibata Y, Shigehara T, Shikata K, Shimamura K, Shimano H, Shimizu Y, Shimoda H, Shin K, Shivashankar G, Shojima N, Silva R, Sim CSB, Simmons K, Sinha S, Sitter T, Sivanandam S, Skipper M, Sloan K, Sloan L, Smith R, Smyth J, Sobande T, Sobata M, Somalanka S, Song X, Sonntag F, Sood B, Sor SY, Soufer J, Sparks H, Spatoliatore G, Spinola T, Squyres S, Srivastava A, Stanfield J, Staplin N, Staylor K, Steele A, Steen O, Steffl D, Stegbauer J, Stellbrink C, Stellbrink E, Stevens W, Stevenson A, Stewart-Ray V, Stickley J, Stoffler D, Stratmann B, Streitenberger S, Strutz F, Stubbs J, Stumpf J, Suazo N, Suchinda P, Suckling R, Sudin A, Sugamori K, Sugawara H, Sugawara K, Sugimoto D, Sugiyama H, Sugiyama H, Sugiyama T, Sullivan M, Sumi M, Suresh N, Sutton D, Suzuki H, Suzuki R, Suzuki Y, Suzuki Y, Suzuki Y, Swanson E, Swift P, Syed S, Szerlip H, Taal M, Taddeo M, Tailor C, Tajima K, Takagi M, Takahashi K, Takahashi K, Takahashi M, Takahashi T, Takahira E, Takai T, Takaoka M, Takeoka J, Takesada A, Takezawa M, Talbot M, Taliercio J, Talsania T, Tamori Y, Tamura R, Tamura Y, Tan CHH, Tan EZZ, Tanabe A, Tanabe K, Tanaka A, Tanaka A, Tanaka N, Tang S, Tang Z, Tanigaki K, Tarlac M, Tatsuzawa A, Tay JF, Tay LL, Taylor J, Taylor K, Taylor K, Te A, Tenbusch L, Teng KS, Terakawa A, Terry J, Tham ZD, Tholl S, Thomas G, Thong KM, Tietjen D, Timadjer A, Tindall H, Tipper S, Tobin K, Toda N, Tokuyama A, Tolibas M, Tomita A, Tomita T, Tomlinson J, Tonks L, Topf J, Topping S, Torp A, Torres A, Totaro F, Toth P, Toyonaga Y, Tripodi F, Trivedi K, Tropman E, Tschope D, Tse J, Tsuji K, Tsunekawa S, Tsunoda R, Tucky B, Tufail S, Tuffaha A, Turan E, Turner H, Turner J, Turner M, Tuttle KR, Tye YL, Tyler A, Tyler J, Uchi H, Uchida H, Uchida T, Uchida T, Udagawa T, Ueda S, Ueda Y, Ueki K, Ugni S, Ugwu E, Umeno R, Unekawa C, Uozumi K, Urquia K, Valleteau A, Valletta C, van Erp R, Vanhoy C, Varad V, Varma R, Varughese A, Vasquez P, Vasseur A, Veelken R, Velagapudi C, Verdel K, Vettoretti S, Vezzoli G, Vielhauer V, Viera R, Vilar E, Villaruel S, Vinall L, Vinathan J, Visnjic M, Voigt E, von-Eynatten M, Vourvou M, Wada J, Wada J, Wada T, Wada Y, Wakayama K, Wakita Y, Wallendszus K, Walters T, Wan Mohamad WH, Wang L, Wang W, Wang X, Wang X, Wang Y, Wanner C, Wanninayake S, Watada H, Watanabe K, Watanabe K, Watanabe M, Waterfall H, Watkins D, Watson S, Weaving L, Weber B, Webley Y, Webster A, Webster M, Weetman M, Wei W, Weihprecht H, Weiland L, Weinmann-Menke J, Weinreich T, Wendt R, Weng Y, Whalen M, Whalley G, Wheatley R, Wheeler A, Wheeler J, Whelton P, White K, Whitmore B, Whittaker S, Wiebel J, Wiley J, Wilkinson L, Willett M, Williams A, Williams E, Williams K, Williams T, Wilson A, Wilson P, Wincott L, Wines E, Winkelmann B, Winkler M, Winter-Goodwin B, Witczak J, Wittes J, Wittmann M, Wolf G, Wolf L, Wolfling R, Wong C, Wong E, Wong HS, Wong LW, Wong YH, Wonnacott A, Wood A, Wood L, Woodhouse H, Wooding N, Woodman A, Wren K, Wu J, Wu P, Xia S, Xiao H, Xiao X, Xie Y, Xu C, Xu Y, Xue H, Yahaya H, Yalamanchili H, Yamada A, Yamada N, Yamagata K, Yamaguchi M, Yamaji Y, Yamamoto A, Yamamoto S, Yamamoto S, Yamamoto T, Yamanaka A, Yamano T, Yamanouchi Y, Yamasaki N, Yamasaki Y, Yamasaki Y, Yamashita C, Yamauchi T, Yan Q, Yanagisawa E, Yang F, Yang L, Yano S, Yao S, Yao Y, Yarlagadda S, Yasuda Y, Yiu V, Yokoyama T, Yoshida S, Yoshidome E, Yoshikawa H, Young A, Young T, Yousif V, Yu H, Yu Y, Yuasa K, Yusof N, Zalunardo N, Zander B, Zani R, Zappulo F, Zayed M, Zemann B, Zettergren P, Zhang H, Zhang L, Zhang L, Zhang N, Zhang X, Zhao J, Zhao L, Zhao S, Zhao Z, Zhong H, Zhou N, Zhou S, Zhu D, Zhu L, Zhu S, Zietz M, Zippo M, Zirino F, Zulkipli FH. Impact of primary kidney disease on the effects of empagliflozin in patients with chronic kidney disease: secondary analyses of the EMPA-KIDNEY trial. Lancet Diabetes Endocrinol 2024; 12:51-60. [PMID: 38061372 DOI: 10.1016/s2213-8587(23)00322-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND The EMPA-KIDNEY trial showed that empagliflozin reduced the risk of the primary composite outcome of kidney disease progression or cardiovascular death in patients with chronic kidney disease mainly through slowing progression. We aimed to assess how effects of empagliflozin might differ by primary kidney disease across its broad population. METHODS EMPA-KIDNEY, a randomised, controlled, phase 3 trial, was conducted at 241 centres in eight countries (Canada, China, Germany, Italy, Japan, Malaysia, the UK, and the USA). Patients were eligible if their estimated glomerular filtration rate (eGFR) was 20 to less than 45 mL/min per 1·73 m2, or 45 to less than 90 mL/min per 1·73 m2 with a urinary albumin-to-creatinine ratio (uACR) of 200 mg/g or higher at screening. They were randomly assigned (1:1) to 10 mg oral empagliflozin once daily or matching placebo. Effects on kidney disease progression (defined as a sustained ≥40% eGFR decline from randomisation, end-stage kidney disease, a sustained eGFR below 10 mL/min per 1·73 m2, or death from kidney failure) were assessed using prespecified Cox models, and eGFR slope analyses used shared parameter models. Subgroup comparisons were performed by including relevant interaction terms in models. EMPA-KIDNEY is registered with ClinicalTrials.gov, NCT03594110. FINDINGS Between May 15, 2019, and April 16, 2021, 6609 participants were randomly assigned and followed up for a median of 2·0 years (IQR 1·5-2·4). Prespecified subgroupings by primary kidney disease included 2057 (31·1%) participants with diabetic kidney disease, 1669 (25·3%) with glomerular disease, 1445 (21·9%) with hypertensive or renovascular disease, and 1438 (21·8%) with other or unknown causes. Kidney disease progression occurred in 384 (11·6%) of 3304 patients in the empagliflozin group and 504 (15·2%) of 3305 patients in the placebo group (hazard ratio 0·71 [95% CI 0·62-0·81]), with no evidence that the relative effect size varied significantly by primary kidney disease (pheterogeneity=0·62). The between-group difference in chronic eGFR slopes (ie, from 2 months to final follow-up) was 1·37 mL/min per 1·73 m2 per year (95% CI 1·16-1·59), representing a 50% (42-58) reduction in the rate of chronic eGFR decline. This relative effect of empagliflozin on chronic eGFR slope was similar in analyses by different primary kidney diseases, including in explorations by type of glomerular disease and diabetes (p values for heterogeneity all >0·1). INTERPRETATION In a broad range of patients with chronic kidney disease at risk of progression, including a wide range of non-diabetic causes of chronic kidney disease, empagliflozin reduced risk of kidney disease progression. Relative effect sizes were broadly similar irrespective of the cause of primary kidney disease, suggesting that SGLT2 inhibitors should be part of a standard of care to minimise risk of kidney failure in chronic kidney disease. FUNDING Boehringer Ingelheim, Eli Lilly, and UK Medical Research Council.
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Xie L, Hong R, Wu Z, Yue L, Peng K, Li S, Zhang J, Wang X, Jin L, Guan Q. Kinect-based objective assessment for early frailty identification in patients with Parkinson's disease. Aging Clin Exp Res 2023; 35:2507-2516. [PMID: 37639172 DOI: 10.1007/s40520-023-02525-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND Frailty is common in Parkinson's disease (PD) and increases vulnerability to adverse outcomes. Early detection of this syndrome aids in early intervention. AIMS To objectively identify frailty at an early stage during routine motor tasks in PD patients using a Kinect-based system. METHODS PD patients were recruited and assessed with the Fried criteria to determine their frailty status. Each participant was recorded performing the Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) extremity tasks with a Kinect-based system. Statistically significant kinematic parameters were selected to discriminate the pre-frail from the non-frail group. RESULTS Of the fifty-two participants, twenty were non-frail and thirty-two were pre-frail. Decreased frequency in finger tapping (P = 0.005), hand grasping (P = 0.002), toe tapping (P = 0.002), and leg agility (P = 0.019) alongside reduced hand grasping speed (P = 0.030), lifting (P < 0.001) and falling speed (P < 0.001) in leg agility were observed in the pre-frail group. Amplitude in leg agility (P = 0.048) and amplitude decrement rate (P = 0.046) in hand grasping showed marginally significant differences between two groups. Moderate discriminative values were found in frequency and speed of the extremity tasks to identify pre-frailty with sensitivity, specificity, and area under the curve (AUC) in the range of 45.00-85.00%, 68.75-100%, and 0.701-0.836, respectively. The combination of frequency and speed in extremity tasks showed moderate to high discriminatory ability, with AUC of 0.775 (95% CI 0.637-0.913, P < 0.001) for upper limb tasks and 0.909 (95% CI 0.832-0.987, P < 0.001) for lower limb tasks. When combining these features in both upper and lower limb tasks, the AUC increased to 0.942 (95% CI 0.886-0.999, P < 0.001). CONCLUSIONS Our findings demonstrated the promise of utilizing Kinect-based kinematic data from MDS-UPDRS III tasks as early indicators of frailty in PD patients.
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Affiliation(s)
- Ludi Xie
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ronghua Hong
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Neurology and Neurological Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhuang Wu
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lei Yue
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Kangwen Peng
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shuangfang Li
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jingxing Zhang
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Xijin Wang
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
- Department of Neurology and Neurological Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Clinical Research Center for Aging and Medicine, Shanghai, China.
| | - Qiang Guan
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
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Zuo Z, Zeng W, Peng K, Mao Y, Wu Y, Zhou Y, Qi W. Development of a novel combined nomogram integrating deep-learning-assisted CT texture and clinical-radiological features to predict the invasiveness of clinical stage IA part-solid lung adenocarcinoma: a multicentre study. Clin Radiol 2023; 78:e698-e706. [PMID: 37487842 DOI: 10.1016/j.crad.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 11/30/2022] [Accepted: 07/01/2023] [Indexed: 07/26/2023]
Abstract
AIM To develop a novel combined nomogram based on deep-learning-assisted computed tomography (CT) texture (DL-TA) and clinical-radiological features for the preoperative prediction of invasiveness in patients with clinical stage IA lung adenocarcinoma manifesting as part-solid nodules (PSNs). MATERIALS AND METHODS This study was conducted from January 2015 to October 2021 at three centres: 355 patients with 355 PSN lung adenocarcinomas who underwent surgical resection were included and classified into the training (n=222) and validation (n=133) cohorts. PSN segmentation on CT images was performed automatically with a commercial deep-learning algorithm, and CT texture features were extracted. The least absolute shrinkage and selection operator was used for feature selection and transformed into a DL-TA score. The combined nomogram that incorporated the DL-TA score and identified clinical-radiological features was developed for the prediction of pathological invasiveness of the PSNs and validated in terms of discrimination and calibration. RESULTS The present study generated a combined nomogram for predicting the invasiveness of PSNs that included age, consolidation-to-tumour ratio, smoking status, and DL-TA score, with a C-index of 0.851 (95% confidence interval: 0.826-0.877) for the training cohort and 0.854 (95% confidence interval: 0.817-0.891) for the validation cohort, indicating good discrimination. Furthermore, the model had a Brier score of 0.153 for the training cohort and 0.135 for the validation cohort, indicating good calibration. CONCLUSION The developed combined nomogram consisting of the DL-TA score and clinical-radiological features and has the potential to predict the individual risk for the invasiveness of stage IA PSN lung adenocarcinomas.
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Affiliation(s)
- Z Zuo
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan 411000, China
| | - W Zeng
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan 411000, China
| | - K Peng
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Y Mao
- Department of Radiology, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha, Hunan 410004, China
| | - Y Wu
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan 411000, China
| | - Y Zhou
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan 411000, China
| | - W Qi
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646100, China.
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Xie YX, Lyu DL, Peng K, Xie HW, Jiang Y, Zhong XB, Wen XL, Fu ZW, Zhou GL, Zhao ZG, Li YC. [Reference values for carotid artery intima-media thickness among community adult dwellers in Shenzhen City]. Zhonghua Yu Fang Yi Xue Za Zhi 2023; 57:1011-1017. [PMID: 37482738 DOI: 10.3760/cma.j.cn112150-20221207-01185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Objective: To establish reference values for carotid intima-media thickness (CIMT) of adult dwellers in Shenzhen City. Methods: The study was conducted based on the Shenzhen heart failure epidemiological survey from 2021 to 2022. In this survey, residents aged 18 years and above in Shenzhen were selected by using a multi-stage stratified random sampling method. General information, cardiovascular disease (CVD) related behavior and carotid ultrasound examination and etc. were collected from the participants. People with CVD factors, a history of atherosclerotic cardiovascular disease, carotid plaque or having no carotid ultrasound examination results were excluded. The parameter regression model based on fractional polynomial was used to establish the reference values of CIMT by age and sex. Results: A total of 2 163 healthy individuals were enrolled in the final analysis, including 576 males (26.6%) and 1 587 females (73.4%). The fractional polynomial regression of the CIMT mean and standard deviation was obtained. For men, the regression was meanCIMT=0.324 7+0.006 9×age and SDCIMT=0.076 9+0.001 2×age. For women, the regression was meanCIMT=0.354 9+0.005 4×age and SDCIMT=0.041 6+0.002 0×age. Conclusion: The age and sex reference values for CIMT of adult people in Shenzhen established in this study could provide the latest reference standards for early screening of subclinical CVD.
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Affiliation(s)
- Y X Xie
- National Clinical Research Center for Cardiovascular Diseases, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen 518057, China School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - D L Lyu
- Department of Cardiovascular Disease and diabetes Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - K Peng
- National Clinical Research Center for Cardiovascular Diseases, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen 518057, China
| | - H W Xie
- School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - Y Jiang
- Department of Ultrasound, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, Shenzhen 518020, China
| | - X B Zhong
- Department of Ultrasound, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, Shenzhen 518020, China
| | - X L Wen
- National Clinical Research Center for Cardiovascular Diseases, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen 518057, China School of Public Health, Shantou University, Shantou 515041,China
| | - Z W Fu
- National Clinical Research Center for Cardiovascular Diseases, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen 518057, China School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, China
| | - G L Zhou
- Department of Ultrasound, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen, Shenzhen 518020, China
| | - Z G Zhao
- Department of Cardiovascular Disease and diabetes Prevention and Control, Shenzhen Center for Chronic Disease Control, Shenzhen 518020,China
| | - Y C Li
- National Clinical Research Center for Cardiovascular Diseases, Shenzhen Hospital, Fuwai Hospital, Chinese Academy of Medical Sciences, Shenzhen 518057, China
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Li S, Yue L, Chen S, Wu Z, Zhang J, Hong R, Xie L, Peng K, Wang C, Lin A, Jin L, Guan Q. High clinical diagnostic accuracy of combined salivary gland and myocardial metaiodobenzylguanidine scintigraphy in the diagnosis of Parkinson's disease. Front Aging Neurosci 2023; 14:1066331. [PMID: 36711204 PMCID: PMC9875016 DOI: 10.3389/fnagi.2022.1066331] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/22/2022] [Indexed: 01/13/2023] Open
Abstract
Background Decreased myocardial uptake of 131I-metaiodobenzylguanidine (MIBG) is known to be an important feature to diagnose Parkinson's disease (PD). However, the diagnosis accuracy of myocardial MIBG scintigraphy alone is often unsatisfying. Recent studies have found that the MIBG uptake of the major salivary glands was reduced in PD patients as well. Purpose To evaluate the diagnostic value of major salivary gland MIBG scintigraphy in PD, and explore the potential role of myocardial MIBG scintigraphy combined with salivary gland MIBG scintigraphy in distinguishing PD from non-PD (NPD). Methods Thirty-seven subjects were performed with 131I-MIBG scintigraphy. They were classified into the PD group (N = 18) and the NPD group (N = 19), based on clinical diagnostic criteria, DAT PET and 18F-FDG PET imaging findings. Images of salivary glands and myocardium were outlined to calculated the MIBG uptake ratios. Results The combination of left parotid and left submandibular gland early images had a good performance in distinguishing PD from NPD, with sensitivity, specificity, and accuracy of 50.00, 94.74, and 72.37%, respectively. Combining the major salivary gland and myocardial scintigraphy results in the early period showed a good diagnostic value with AUC, sensitivity and specificity of 0.877, 77.78, and 94.74%, respectively. Meanwhile, in the delayed period yield an excellent diagnostic value with AUC, sensitivity and specificity of 0.904, 88.89, and 84.21%, respectively. Conclusion 131I-MIBG salivary gland scintigraphy assisted in the diagnosis and differential diagnosis of PD. The combination of major salivary gland and myocardial 131I-MIBG scintigraphy further increased the accuracy of PD diagnosis.
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Affiliation(s)
- Shuangfang Li
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China,Department of Neurology and Neurological Rehabilitation, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
| | - Lei Yue
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shuzhen Chen
- Department of Nuclear Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhuang Wu
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jingxing Zhang
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ronghua Hong
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ludi Xie
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Kangwen Peng
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chenghong Wang
- Department of Nuclear Medicine, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ao Lin
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China,Department of Neurology and Neurological Rehabilitation, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China,Shanghai Clinical Research Center for Aging and Medicine, Shanghai, China,Lingjing Jin,
| | - Qiang Guan
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China,*Correspondence: Qiang Guan,
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Wu Z, Gu H, Hong R, Xing Z, Zhang Z, Peng K, He Y, Xie L, Zhang J, Gao Y, Jin Y, Su X, Zhi H, Guan Q, Pan L, Jin L. Kinect-based objective evaluation of bradykinesia in patients with Parkinson's disease. Digit Health 2023; 9:20552076231176653. [PMID: 37223774 PMCID: PMC10201004 DOI: 10.1177/20552076231176653] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/02/2023] [Indexed: 05/25/2023] Open
Abstract
Objective To quantify bradykinesia in Parkinson's disease (PD) with a Kinect depth camera-based motion analysis system and to compare PD and healthy control (HC) subjects. Methods Fifty PD patients and twenty-five HCs were recruited. The Movement Disorder Society-Sponsored Revision of the Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) was used to evaluate the motor symptoms of PD. Kinematic features of five bradykinesia-related motor tasks were collected using Kinect depth camera. Then, kinematic features were correlated with the clinical scales and compared between groups. Results Significant correlations were found between kinematic features and clinical scales (P < 0.05). Compared with HCs, PD patients exhibited a significant decrease in the frequency of finger tapping (P < 0.001), hand movement (P < 0.001), hand pronation-supination movements (P = 0.005), and leg agility (P = 0.003). Meanwhile, PD patients had a significant decrease in the speed of hand movements (P = 0.003) and toe tapping (P < 0.001) compared with HCs. Several kinematic features exhibited potential diagnostic value in distinguishing PD from HCs with area under the curve (AUC) ranging from 0.684-0.894 (P < 0.05). Furthermore, the combination of motor tasks exhibited the best diagnostic value with the highest AUC of 0.955 (95% CI = 0.913-0.997, P < 0.001). Conclusion The Kinect-based motion analysis system can be applied to evaluate bradykinesia in PD. Kinematic features can be used to differentiate PD patients from HCs and combining kinematic features from different motor tasks can significantly improve the diagnostic value.
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Affiliation(s)
- Zhuang Wu
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Hongkai Gu
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ronghua Hong
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ziwen Xing
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Zhuoyu Zhang
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Kangwen Peng
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yijing He
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ludi Xie
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jingxing Zhang
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yichen Gao
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Yue Jin
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Xiaoyun Su
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Hongping Zhi
- IFLYTEK Suzhou Research Institute, Suzhou, China
| | - Qiang Guan
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lizhen Pan
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Department of Neurology and Neurological Rehabilitation, Shanghai Disabled Persons’ Federation Key Laboratory of Intelligent Rehabilitation Assistive Devices and Technologies, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, China
- Neurotoxin Research Center, Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Collaborative Innovation Center for Brain Science, Tongji University, Shanghai, China
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Hong R, Zhang T, Zhang Z, Wu Z, Lin A, Su X, Jin Y, Gao Y, Peng K, Li L, Pan L, Zhi H, Guan Q, Jin L. A summary index derived from Kinect to evaluate postural abnormalities severity in Parkinson’s Disease patients. NPJ Parkinsons Dis 2022; 8:96. [PMID: 35918362 PMCID: PMC9345864 DOI: 10.1038/s41531-022-00368-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 07/20/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractPostural abnormalities are common disabling motor complications affecting patients with Parkinson’s disease (PD). We proposed a summary index for postural abnormalities (IPA) based on Kinect depth camera and explored the clinical value of this indicator. Seventy individuals with PD and thirty age-matched healthy controls (HCs) were enrolled. All participants were tested using a Kinect-based system with IPA automatically obtained by algorithms. Significant correlations were detected between IPA and the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) total score (rs = 0.369, p = 0.002), MDS-UPDRS-III total score (rs = 0.431, p < 0.001), MDS-UPDRS-III 3.13 score (rs = 0.573, p < 0.001), MDS-UPDRS-III-bradykinesia score (rs = 0.311, p = 0.010), the 39-item Parkinson’s Disease Questionnaire (PDQ-39) (rs = 0.272, p = 0.0027) and the Berg Balance Scale (BBS) score (rs = −0.350, p = 0.006). The optimal cut-off value of IPA for distinguishing PD from HCs was 12.96 with a sensitivity of 97.14%, specificity of 100.00%, area under the curve (AUC) of 0.999 (0.997–1.002, p < 0.001), and adjusted AUC of 0.998 (0.993–1.000, p < 0.001). The optimal cut-off value of IPA for distinguishing between PD with and without postural abnormalities was 20.14 with a sensitivity, specificity, AUC and adjusted AUC of 77.78%, 73.53%, 0.817 (0.720–0.914, p < 0.001), and 0.783 (0.631–0.900, p < 0.001), respectively. IPA was significantly correlated to the clinical manifestations of PD patients, and could reflect the global severity of postural abnormalities in PD with important value in distinguishing PD from HCs and distinguishing PD with postural abnormalities from those without.
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Wu Z, Hong R, Li S, Peng K, Lin A, Gao Y, Jin Y, Su X, Zhi H, Guan Q, Pan L, Jin L. Technology-based therapy-response evaluation of axial motor symptoms under daily drug regimen of patients with Parkinson’s disease. Front Aging Neurosci 2022; 14:901090. [PMID: 35992587 PMCID: PMC9389404 DOI: 10.3389/fnagi.2022.901090] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/14/2022] [Indexed: 11/13/2022] Open
Abstract
Background Axial disturbances are the most disabling symptoms of Parkinson’s disease (PD). Kinect-based objective measures could extract motion characteristics with high reliability and validity. Purpose The present research aimed to quantify the therapy–response of axial motor symptoms to daily medication regimen and to explore the correlates of the improvement rate (IR) of axial motor symptoms based on a Kinect camera. Materials and methods We enrolled 44 patients with PD and 21 healthy controls. All 65 participants performed the Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale part III and the Kinect-based kinematic evaluation to assess arising from a chair, gait, posture, and postural stability before and after medication. Spearman’s correlation analysis and multiple linear regression model were performed to explore the relationships between motor feature IR and clinical data. Results All the features arising from a chair (P = 0.001), stride length (P = 0.001), velocity (P < 0.001), the height of foot lift (P < 0.001), and turning time (P = 0.001) improved significantly after a daily drug regimen in patients with PD. In addition, the anterior trunk flexion (lumbar level) exhibited significant improvement (P = 0.004). The IR of the axial motor symptoms score was significantly correlated with the IRs of kinematic features for gait velocity, stride length, foot lift height, and sitting speed (rs = 0.345, P = 0.022; rs = 0.382, P = 0.010; rs = 0.314, P = 0.038; rs = 0.518, P < 0.001, respectively). A multivariable regression analysis showed that the improvement in axial motor symptoms was associated with the IR of gait velocity only (β = 0.593, 95% CI = 0.023–1.164, P = 0.042). Conclusion Axial symptoms were not completely drug-resistant, and some kinematic features can be improved after the daily medication regimen of patients with PD.
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Affiliation(s)
- Zhuang Wu
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ronghua Hong
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Shuangfang Li
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Kangwen Peng
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ao Lin
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yichen Gao
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Yue Jin
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Xiaoyun Su
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Hongping Zhi
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Qiang Guan
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lizhen Pan
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Lingjing Jin
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Neurology and Neurological Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Clinical Research Center for Aging and Medicine, Shanghai, China
- *Correspondence: Lingjing Jin,
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Huang J, Ding Y, Yao J, Peng K, Deng K, Zhang M, Zhang Y, Zuo J. The SARS-CoV-2 rS1-E-PLGA nanovaccine and evaluation of its immune effect in BALB/c mice. Eur Rev Med Pharmacol Sci 2022; 26:5255-5263. [PMID: 35916825 DOI: 10.26355/eurrev_202207_29316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
OBJECTIVE Vaccination is an important method for preventing COVID-19 infection. However, certain vaccines do not meet the current needs. To improve the vaccine effect, discard ineffective antigens, and focus on high-quality antigenic clusters, S1-E bivalent antigens were designed. MATERIALS AND METHODS Vaccine delivery is performed using poly (lactic-co-glycolic acid) (PLGA). Here, the recombinant S1-E (rS1-E) was covered on PLGA and injected intramuscularly into mice. In total, 48 BALB/c mice were randomly divided into six groups with 8 mice in each group. The mice received intramuscular injections. Prior to vaccination, the hydrophobicity of the rS1-E and the antigenic site of the E protein were both analysed. The morphology, zeta potential, and particle size distribution of rS1-E-PLGA were examined. Anti-S1 and anti-E antibodies were detected in mouse serum by ELISA. Neutralising an-tibodies were detected by co-incubating the pseudovirus with the obtained serum. IL-2 and TNF-α levels were also measured. RESULTS The designed recombinant S1-E protein was successfully coated on PLGA nanoparticles. rS1-E-PLGA nanovaccine has suitable size, shape, good stability, sustained release and other characteristics. Importantly, mice were stimulated with rS1-E-PLGA nanovaccines to produce high-titre antibodies and a good cellular immune response. CONCLUSIONS Our results indicate that rS1-E-PLGA nanovaccine may provide a good protective effect, and the vaccine should be further investigated in human clinical trials for use in vaccination or as a booster.
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Affiliation(s)
- J Huang
- The Laboratory of Translational Medicine, Nanhua Hospital Affiliated to University of South China, The Third Affiliated Hospital of University of South China, Institute of Pathogenic Biology, Hengyang Medical School, University of South China, Hengyang, Hunan, P.R. China.
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Gao J, Zhang L, Peng K, Sun H. [Diagnostic value of serum tumor markers CEA, CYFRA21-1, SCCAg, NSE and ProGRP for lung cancers of different pathological types]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:886-891. [PMID: 35790439 DOI: 10.12122/j.issn.1673-4254.2022.06.12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To evaluate the diagnostic value of the serum tumor markers carcinoembryonic antigen (CEA), cytokeratin-19-fragment (CYFRA21-1), squamous cell carcinoma associated antigen (SCCAg), neuron-specificenolase (NSE) and pro-gastrin-releasing peptide (ProGRP) for lung cancers of different pathological types. METHODS This study was conducted among patients with established diagnoses of lung adenocarcinoma (LADC, n=137), lung squamous cell carcinoma (LSCC, n=82), small cell lung carcinoma (SCLC, n=59), and benign chest disease (BCD, n=102). The serum tumor markers were detected for all the patients for comparison of the positivity rates and their serum levels. ROC curve was used for analysis of the diagnostic efficacy of these tumor markers either alone or in different combinations. RESULTS In patients with LADC, the positivity rate and serum level of CEA were significantly higher than those in the other groups (P < 0.05); the patients with LSCC had the highest positivity rate and serum level of SCCAg among the 4 groups (P < 0.05). The positivity rates and serum levels of ProGRP and NSE were significantly higher in SCLC group than in the other groups (P < 0.05). CYFRA21-1 showed the highest positivity rate and serum level in LADC group and LSCC group. With the patients with BCD as control, CEA showed a diagnostic sensitivity of 62.8% and a specificity of 93.1% for LADC, and the sensitivity and specificity of SCCAg for diagnosing LSCC were 64.6% and 91.2%, respectively. CYFRA21-1 had the highest diagnostic sensitivity for LADC and LSCC. The diagnostic sensitivity and specificity of ProGRP for SCLC were 83.1% and 98.0%, respectively. When combined, CYFRA21-1 and CEA showed a high sensitivity (78.8%) and specificity (86.3%) for diagnosing LADC with an AUC of 0.891; CYFRA21-1 and SCCAg had a high sensitivity (84.1%) and specificity (87.3%) for diagnosing LSCC with an AUC of 0.912. NSE combined with ProGRP was highly sensitive (88.1%) and specific (98.0%) for diagnosis of SCLC, with an AUC of 0.952. For lung cancers of different pathological types, the combination of all the 5 tumor markers showed no significant differences in the diagnostic power from a combined detection with any two of the markers (P>0.05). CONCLUSION CEA, CYFRA21-1, SCCAg, NSE and ProGRP are all related to the pathological type of lung cancers and can be used in different combinations as useful diagnostic indicators for lung cancers.
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Affiliation(s)
- J Gao
- Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - L Zhang
- Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - K Peng
- Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
| | - H Sun
- Clinical Laboratory, First Affiliated Hospital of Bengbu Medical College, Bengbu 233004, China
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He Y, Peng K, Li R, Zhang Z, Pan L, Zhang T, Lin A, Hong R, Nie Z, Guan Q, Jin L. Changes of T lymphocyte subpopulations and their roles in predicting the risk of Parkinson's disease. J Neurol 2022; 269:5368-5381. [PMID: 35608657 PMCID: PMC9467943 DOI: 10.1007/s00415-022-11190-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 05/11/2022] [Accepted: 05/12/2022] [Indexed: 12/29/2022]
Abstract
T lymphocytes are involved in the pathogenesis of Parkinson's disease (PD), while the heterogeneity of T-cell subpopulations remains elusive. In this study, we analyzed up to 22 subpopulations of T lymphocytes in 115 PD patients and 60 matched healthy controls (HC) using flow cytometry. We found that PD patients exhibited decreased naïve CD8+ T cells (CD3+ CD8+ CD45RA+ CD45RO-) and increased late-differentiated CD4+ T cells (CD3+ CD4+ CD28- CD27-), compared to HC, which were not affected by anti-parkinsonism medication administration. The proportion of naïve CD8+ T cells in PD patients was positively correlated with their severity of autonomic dysfunction and psychiatric complications, but negatively associated with the severity of rapid eye movement and sleep behavior disorder. The proportion of late-differentiated CD4+ T cells was negatively correlated with the onset age of the disease. We further developed individualized PD risk prediction models with high reliability and accuracy on the base of the T lymphocyte subpopulations. These data suggest that peripheral cellular immunity is disturbed in PD patients, and changes in CD8+ T cells and late-differentiated CD4+ T cells are representative and significant. Therefore, we recommend naïve CD8 + and late-differentiated CD4+ T cells as candidates for multicentric clinical study and pathomechanism study of PD.
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Affiliation(s)
- Yijing He
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Kangwen Peng
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Ruoyu Li
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Zhuoyu Zhang
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Lizhen Pan
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Tianyu Zhang
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Ao Lin
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Ronghua Hong
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Zhiyu Nie
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China
| | - Qiang Guan
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China.
| | - Lingjing Jin
- Neurotoxin Research Center of Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of Ministry of Education, Neurological Department of Tongji Hospital, School of Medicine, Tongji University, 389 Xincun Road, 200065, Shanghai, People's Republic of China. .,Department of Neurology and Neurological Rehabilitation, Shanghai Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200092, People's Republic of China. .,Shanghai Clinical Research Center for Aging and Medicine, Shanghai, 200040, People's Republic of China.
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Zuo Z, Li Y, Peng K, Li X, Tan Q, Mo Y, Lan Y, Zeng W, Qi W. CT texture analysis-based nomogram for the preoperative prediction of visceral pleural invasion in cT1N0M0 lung adenocarcinoma: an external validation cohort study. Clin Radiol 2021; 77:e215-e221. [PMID: 34916048 DOI: 10.1016/j.crad.2021.11.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 11/12/2021] [Indexed: 12/29/2022]
Abstract
AIM To develop a nomogram based on computed tomography (CT) texture analysis for the preoperative prediction of visceral pleural invasion in patients with cT1N0M0 lung adenocarcinoma. MATERIALS AND METHODS A dataset of chest CT containing lung nodules was collected from two institutions, and all surgically resected nodules were classified pathologically based on the presence of visceral pleural invasion. Each nodule on the CT image was segmented automatically by artificial-intelligence software and its CT texture features were extracted. The dataset was divided into training and external validation cohorts according to the institution, and a nomogram for predicting visceral pleural invasion was developed and validated. RESULTS Of a total of 313 patients enrolled from two independent institutions, 63 were diagnosed with visceral pleural invasion. Three-dimensional (3D) CT long diameter, skewness, and sphericity, and chronic obstructive pulmonary disease were identified as independent predictors for visceral pleural invasion by multivariable logistic regression. The nomogram based on multivariable logistic regression showed great discriminative ability, as indicated by a C-index of 0.890 (95% confidence interval [CI]: 0.867-0.914) and 0.864 (95% CI: 0.817-0.911) for the training and external validation cohorts, respectively. Additionally, calibration of the nomogram revealed good predictive ability, as indicated by the Brier score (0.108 and 0.100 for the training and external validation cohorts, respectively). CONCLUSIONS A nomogram was developed that could compute the probability of visceral pleural invasion in patients with cT1N0M0 lung adenocarcinoma with good calibration and discrimination. The nomogram has potential as a reliable tool for clinical evaluation and decision-making.
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Affiliation(s)
- Z Zuo
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan, China
| | - Y Li
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - K Peng
- Department of Spine Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - X Li
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan, China
| | - Q Tan
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan, China
| | - Y Mo
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan, China
| | - Y Lan
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
| | - W Zeng
- Department of Radiology, Xiangtan Central Hospital, Xiangtan, Hunan, China
| | - W Qi
- Department of Radiology, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
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Zhang Z, Hong R, Lin A, Su X, Jin Y, Gao Y, Peng K, Li Y, Zhang T, Zhi H, Guan Q, Jin L. Automated and accurate assessment for postural abnormalities in patients with Parkinson's disease based on Kinect and machine learning. J Neuroeng Rehabil 2021; 18:169. [PMID: 34863184 PMCID: PMC8643004 DOI: 10.1186/s12984-021-00959-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 11/11/2021] [Indexed: 11/10/2022] Open
Abstract
Background Automated and accurate assessment for postural abnormalities is necessary to monitor the clinical progress of Parkinson’s disease (PD). The combination of depth camera and machine learning makes this purpose possible. Methods Kinect was used to collect the postural images from 70 PD patients. The collected images were processed to extract three-dimensional body joints, which were then converted to two-dimensional body joints to obtain eight quantified coronal and sagittal features (F1-F8) of the trunk. The decision tree classifier was carried out over a data set established by the collected features and the corresponding doctors’ MDS-UPDRS-III 3.13 (the 13th item of the third part of Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale) scores. An objective function was implanted to further improve the human–machine consistency. Results The automated grading of postural abnormalities for PD patients was realized with only six selected features. The intraclass correlation coefficient (ICC) between the machine’s and doctors’ score was 0.940 (95%CI, 0.905–0.962), meaning the machine was highly consistent with the doctors’ judgement. Besides, the decision tree classifier performed outstandingly, reaching 90.0% of accuracy, 95.7% of specificity and 89.1% of sensitivity in rating postural severity. Conclusions We developed an intelligent evaluation system to provide accurate and automated assessment of trunk postural abnormalities in PD patients. This study demonstrates the practicability of our proposed method in the clinical scenario to help making the medical decision about PD.
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Affiliation(s)
- Zhuoyu Zhang
- Neurological Department of Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ronghua Hong
- Neurological Department of Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ao Lin
- Neurological Department of Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaoyun Su
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Yue Jin
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Yichen Gao
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Kangwen Peng
- Neurological Department of Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yudi Li
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Tianyu Zhang
- Neurological Department of Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hongping Zhi
- IFLYTEK Suzhou Research Institute, E4, Artificial Intelligence Industrial Park, Suzhou Industrial Park, Suzhou, China
| | - Qiang Guan
- Neurological Department of Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
| | - LingJing Jin
- Neurological Department of Tongji Hospital, Tongji University School of Medicine, Shanghai, China. .,Department of Neurorehabilitation, Yangzhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), Tongji University School of Medicine, Shanghai, China.
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Wang H, Peng K, Li A, Wang Z, Xie Z, Chen H, Wu Y, Yang J. P76.81 Primary Resistance to EGFR-TKIs in Lung Adenocarcinoma harboring EGFR–RAD51 Fusion: A Brief Report. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Gao Q, Wang Q, Peng K, Zhang S, Zhang X, Yang J. P87.05 RET-Rearranged Squamous Cell Carcinoma of the Lung Responding to First-Line Immunotherapy plus Chemotherapy. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Peng K, Wang H, Gao Y, Li X, Gao Q, Zhang S, Yang J. P76.95 Brief Report: Immunochemotherapy in Five Patients with EGFR Exon 20 Insertion Advanced Lung Adenocarcinoma. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.1152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Vetter M, Smrz S, Gehrig P, Peng K, Matsuo K, Davidson B, Cisa M, Lees B, Brunette L, Tucker K, Stuart Staley A, Gotlieb W, Holloway R, Essel K, Holman L, Goldfeld E, Olawaiye A, Rose S, Uppal S, Bixel K. Pathologic and clinical tumor size discordance in early-stage cervical cancer: Does it matter? Gynecol Oncol 2020; 159:354-358. [DOI: 10.1016/j.ygyno.2020.08.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 08/05/2020] [Indexed: 02/07/2023]
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Lord A, Pan W, Li G, Chen H, Peng K, Song L, Chu N, Liou T, Liou Y, Wang Y. Policy infrastructure and mechanism to Promote “Health by All” Movement for Overturning Obesity. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa166.222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Obesity is a pressing pandemic. However, major policies have targeted individual responsibility and focused on “losing weight or lowering calories”. Such approach has limited effect and overlooks the hidden obesity.
Methods
Under auspices of NHRI Forum, Taiwan; the WAKE.TAIWAN Research Team analyzed the global trends of policies, strategies, and literatures to formulate guiding principles for a total solution. 1. Defining obesity should go beyond body weight and emphasize more on healthy body composition and muscle mass, etc. 2. Effective obesity control strategy should facilitate building healthy living environments, lifestyle, and culture for natural flow of healthy behaviors. 3. All sectorial leaders should be involved in engaging and promoting healthy lifestyle culture and environment.
Results
”Guidelines for Establishing a lifestyle and Culture of Healthy Body Build” has been published as a blueprint for policy reform and strategies development, which consists of three parts. Part I emphasizes the active roles, social responsibilities, influence, and opportunities confronted the leaders and experts in all sectors and how government may facilitate these societal engagements, “Healthy by All”. The crucial sectors should include academia, NGO/NPO, industry/business, workplaces, healthcare systems, educational sectors, media and press, etc. Part II details on community spatial planning and architectural designs for healthy lifestyles. Part III proposes governmental “Health in All” infrastructure and mechanism.
Conclusions
We anticipate that the Guideline may draw out expertise and volunteering in all sectors of the society and help guide the public to take initiative in building such a culture of healthy-body-build and achieving this goal in all aspects of daily life.
Key messages
Emphasize on healthy body composition rather than body weight. Propagate 'Health by all' movement to foster building 'healthy physique' culture.
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Affiliation(s)
- A Lord
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - W Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli, Taiwan
| | - G Li
- Department of Athletic Sports, National Chung Cheng University, Chiayi, Taiwan
| | - H Chen
- Institute of Public Health, National Yang-Ming University, Taipei, Taiwan
| | - K Peng
- Department of Architecture, College of Design, National Taipei University of Technology, Taipei, Taiwan
| | - L Song
- Department of Architecture, College of Design, National Taipei University of Technology, Taipei, Taiwan
| | - N Chu
- Endocrinology and Metabolism Division, The Tri-Service General Hospital, Taipei, Taiwan
| | - T Liou
- Department of Physical Medicine and Rehabilitation, Taipei Medical University, Taipei, Taiwan
| | - Y Liou
- School of Nursing, National Yang-Ming University, Taipei, Taiwan
| | - Y Wang
- Health Promotion Administration, Ministry of Health and Welfare, Taipei, Taiwan
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Peng K, Yang M, Tian M, Chen M, Zhang J, Wu X, Ivers R, Si L. Cost-effectiveness of a multidisciplinary co-management program for the older hip fracture patients in Beijing. Osteoporos Int 2020; 31:1545-1553. [PMID: 32219498 DOI: 10.1007/s00198-020-05393-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 03/16/2020] [Indexed: 10/24/2022]
Abstract
UNLABELLED The multidisciplinary co-management program for geriatric patients with hip fracture is cost-effective in the Chinese population and it has the potential to be scaled up in China. INTRODUCTION The study aimed to investigate the cost-effectiveness of a multidisciplinary co-management program for patients with hip fracture in China. METHODS Hip fracture patients who were admitted to an orthopedic hospital in Beijing were included in the multidisciplinary co-management program. The cost-effectiveness of intervention was evaluated compared to the conventional management. A Markov microsimulation model was developed to simulate lifetime costs and effectiveness. Costs including intervention, hospitalization, medications, and long-term care costs were expressed using 2019 US dollars and the healthcare perspective was adopted. Effectiveness was evaluated using both 1-year mortality-averted and quality-adjusted life years (QALYs). Costs and effectiveness were discounted at 5% per annum. The willingness-to-pay (WTP) threshold was set at $26,481 per QALY gained which was three times gross domestic product (GDP) per capita in China. One-way and probabilistic sensitivity analyses were conducted. RESULTS The lifetime cost for the conventional management (n = 1839) and intervention group (n = 1192) was $11,975 and $13,309 respectively. The lifetime QALYs were 2.38 and 2.45 years and the first-year mortality was 17.8% and 16.1%. The incremental cost-effectiveness ratio was $19,437 per QALY gained or $78,412 per 1-year mortality-averted. Given the Chinese WTP threshold, the intervention had a 78% chance being cost-effective. The cost-effectiveness of the intervention was sensitive to cost of intervention and the proportion of patients who underwent surgery within 48 h. CONCLUSIONS The multidisciplinary co-management program for patients with hip fracture is cost-effective and it has the potential to be scaled up in the Chinese population.
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Affiliation(s)
- K Peng
- School of Public Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, University of New South Wales, Level 5, 1 King St, Newtown, NSW, 2042, Australia
| | - M Yang
- Department of Orthopedic and Traumatology, Beijing Jishuitan Hospital, Beijing, China
| | - M Tian
- The George Institute for Global Health, University of New South Wales, Level 5, 1 King St, Newtown, NSW, 2042, Australia
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - M Chen
- School of Health Policy & Management, Nanjing Medical University, Nanjing, China
| | - J Zhang
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
- School of Public Health and Community Medicine, UNSW, Kensington, Australia
| | - X Wu
- Department of Orthopedic and Traumatology, Beijing Jishuitan Hospital, Beijing, China
| | - R Ivers
- School of Public Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, University of New South Wales, Level 5, 1 King St, Newtown, NSW, 2042, Australia
- School of Public Health and Community Medicine, UNSW, Kensington, Australia
| | - L Si
- The George Institute for Global Health, University of New South Wales, Level 5, 1 King St, Newtown, NSW, 2042, Australia.
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Peng K, Yao P, Yang L, Kartsonaki C, Bennett D, Tian M, Guo Y, Bian Z, Chen Y, Chen Z, Woodward M, Ivers R, Clarke R. Parenthood and risk of hip fracture: a 10-year follow-up prospective study of middle-aged women and men in China. Osteoporos Int 2020; 31:783-791. [PMID: 31768588 PMCID: PMC7075818 DOI: 10.1007/s00198-019-05185-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 10/01/2019] [Indexed: 12/02/2022]
Abstract
This prospective study of Chinese adults demonstrated an inverse J-shaped association of number of children with risk of hip fracture in both men and postmenopausal women aged 50 years or older. Women with 2 or 3 children and men with 4 children had the lowest risk of hip fracture. INTRODUCTION Women have higher absolute risks of fracture than men, which is believed to reflect differences in oestrogen exposure. The aim of this study was to compare the associations of number of children with risk of hip fracture between men and women aged over 50 years. METHODS The China Kadoorie Biobank (CKB) recruited 133,399 women and 110,296 men, aged 50 years or older between 2004 and 2008. During 10-year follow-up, 2068 participants (1394 women and 674 men) suffered a hip fracture. Cox regression analysis was used to estimate sex-specific adjusted hazard ratios (HRs) and 95% CI for incident hip fracture. RESULTS Over 98% of both subsets of men and women aged 50 or older reported having children. Women who had 2 or 3 children had the lowest risks of hip fracture compared with other groups. Compared with nulliparous women, the adjusted HR for hip fracture were 0.89 (95% CI; 0.72, 1.10) for 1 child, 0.79 (0.70, 0.90) for 2 children, 0.79 (0.72, 0.87) for 3 children, 0.81 (0.72, 0.91) for 4 children, and 0.95 (0.83, 1.10) for those with 5 or more children. The associations of number of children with hip fracture were broadly consistent in men of a similar age. CONCLUSIONS The concordant effects of the number of children with risk of hip fracture between men and women suggest that the lower risks in multiparous women are not due to differences in oestrogen exposure or other biological effects, but may reflect residual confounding by socioeconomic or lifestyle factors.
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Affiliation(s)
- K Peng
- School of Public Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, UNSW, Sydney, Australia
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - P Yao
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - L Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - C Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - D Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - M Tian
- The George Institute for Global Health, UNSW, Sydney, Australia
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Y Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Z Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - M Woodward
- The George Institute for Global Health, UNSW, Sydney, Australia
- The George Institute for Global Health, Oxford University, Oxford, UK
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - R Ivers
- School of Public Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, UNSW, Sydney, Australia
- School of Public Health and Community Medicine, UNSW, Sydney, Australia
| | - R Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
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Peng K, Yao P, Yang L, Kartsonaki C, Bennett D, Tian M, Guo Y, Bian Z, Chen Y, Chen Z, Woodward M, Ivers R, Clarke R. Publisher Correction: Parenthood and risk of hip fracture: a 10-year follow-up prospective study of middle-aged women and men in China. Osteoporos Int 2020; 31:793. [PMID: 32047950 PMCID: PMC7645435 DOI: 10.1007/s00198-019-05272-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The original version of this article, published on 25 November 2019, unfortunately contained a mistake.
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Affiliation(s)
- K Peng
- School of Public Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, UNSW, Sydney, Australia
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - P Yao
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - L Yang
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - C Kartsonaki
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - D Bennett
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - M Tian
- The George Institute for Global Health, UNSW, Sydney, Australia
- The George Institute for Global Health at Peking University Health Science Center, Beijing, China
| | - Y Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Z Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Y Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - Z Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK
| | - M Woodward
- The George Institute for Global Health, UNSW, Sydney, Australia
- The George Institute for Global Health, Oxford University, Oxford, UK
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - R Ivers
- School of Public Health, The University of Sydney, Sydney, Australia
- The George Institute for Global Health, UNSW, Sydney, Australia
- School of Public Health and Community Medicine, UNSW, Sydney, Australia
| | - R Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit, Big Data Institute, University of Oxford, Old Road Campus, Oxford, OX3 7LF, UK.
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Chen GQ, Wang QM, Yu M, Cheng YD, Zhang ZC, Wang WS, Qiu Y, Sun LH, Peng K, Yang H. Notch signaling is involved in regulation of LPS-induced macrophage apoptosis through JNK/NF-kB signaling pathway. J BIOL REG HOMEOS AG 2020; 34:04. [PMID: 32048500 DOI: 10.23812/19-283-a] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Notch signaling plays a critical role in the development and function of macrophages. The aim of the present study was to investigate the relationship between Notch signaling pathway and macrophage apoptosis after LPS stimulation. In RAW 264.7 cells, the mRNA expression of Jagged1, Hes1, Hes 5 and GM-CSF, and protein expression of NICD1 and GM-CSF were increased after LPS stimulation. Inhibition of Notch signaling by γ-secretase inhibitor DAPT and the suppression of Notch1 expression using siRNA both significantly prevented LPS induced activation of JNK and NF-kB, and simultaneously the expression of GM-CSF was also down regulated significantly. JNK inhibitor SP600125 was used to block the phosphorylation of JNK signaling, Western blot results showed that the activation of NF-kB was blocked and expression of GM-CSF was down-regulated. Finally, flow cytometry analyses showed that the Notch signaling was involved in the regulation of macrophage apoptosis after LPS stimulation. Our study showed that the Notch signaling pathway was activated and involved in the regulation of macrophage apoptosis after LPS stimulation through JNK/ NF-kB signaling regulated GM-CSF expression.
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Affiliation(s)
- G Q Chen
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Q M Wang
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - M Yu
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Y D Cheng
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Z C Zhang
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - W S Wang
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Y Qiu
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - L H Sun
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - K Peng
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - H Yang
- Department of General Surgery, Xinqiao Hospital, Army Medical University, Chongqing, China
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Horner W, Pleasant V, Peng K, Brackmann M, Ebott J, Gutfreund R, Reynolds R, Uppal S. Trends in surgical complexity in ovarian cancer surgery in the era of increasing neoadjuvant chemotherapy: A National Cancer Database study. Gynecol Oncol 2019. [DOI: 10.1016/j.ygyno.2019.04.457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Liu G, Tan S, Peng K, Dang C, Xing S, Xie C, Zeng J. Network change in the ipsilesional cerebellum is correlated with motor recovery following unilateral pontine infarction. Eur J Neurol 2019; 26:1266-1273. [PMID: 31021033 DOI: 10.1111/ene.13974] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2018] [Accepted: 04/23/2019] [Indexed: 10/27/2022]
Affiliation(s)
- G. Liu
- Department of Neurology and Stroke Center The First Affiliated Hospital Sun Yat‐Sen University GuangzhouChina
| | - S. Tan
- Department of Neurology and Stroke Center The First Affiliated Hospital Sun Yat‐Sen University GuangzhouChina
| | - K. Peng
- Department of Medical Imaging State Key Laboratory of Oncology in Southern China Collaborative Innovation Center for Cancer Medicine Sun Yat‐Sen University Cancer Center Guangzhou China
| | - C. Dang
- Department of Neurology and Stroke Center The First Affiliated Hospital Sun Yat‐Sen University GuangzhouChina
| | - S. Xing
- Department of Neurology and Stroke Center The First Affiliated Hospital Sun Yat‐Sen University GuangzhouChina
| | - C. Xie
- Department of Medical Imaging State Key Laboratory of Oncology in Southern China Collaborative Innovation Center for Cancer Medicine Sun Yat‐Sen University Cancer Center Guangzhou China
| | - J. Zeng
- Department of Neurology and Stroke Center The First Affiliated Hospital Sun Yat‐Sen University GuangzhouChina
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Peng K, Pleasant V, Bell S, Horner W, Ebott J, Gutfreund R, Reynolds R, Uppal S. 88: Trends of acute venous thromboembolism during index surgical hospitalization in patients undergoing hysterectomy and risk of readmission. Am J Obstet Gynecol 2019. [DOI: 10.1016/j.ajog.2019.01.118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Lu H, Meng Q, Peng K, Cermak S, Stein E, Yang Y, Choa F. Focal transcranial magnetic stimulation (TMS) of the rat brain: coil design, c-fos mapping and electrophysiology. Brain Stimul 2019. [DOI: 10.1016/j.brs.2018.12.837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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31
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Peng K, Iwaasa A, Schellenberg M, Xu Z, McAllister T, Wang Y. PSVIII-21 Effect of inclusion of purple prairie clover with native cool-season grasses on in situ digestibility of mixed forage. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- K Peng
- Key Laboratory of Animal Nutrition and Feed Science (South China) of Ministry of Agriculture, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Science,Guangdong, China (People’s Republic)
| | - A Iwaasa
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - M Schellenberg
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Z Xu
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada,Lethbridge, AB, Canada
| | - T McAllister
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada,Lethbridge, AB, Canada
| | - Y Wang
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada,Lethbridge, AB, Canada
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Wang Y, Gresham G, Peng K, Chaves A, McAllister T, Iwaasa A, Schellenberg M. PSXI-42 Assessment of the inclusion of prairie clovers in native cool-season grass pastures on the nutritive value of forage using in vitro ruminal incubation. J Anim Sci 2018. [DOI: 10.1093/jas/sky404.493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Y Wang
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada,Lethbridge, AB, Canada
| | - G Gresham
- The University of Sydney, School of Life and Environmental Sciences,Sydney, Australia
| | - K Peng
- Key Laboratory of Animal Nutrition and Feed Science (South China) of Ministry of Agriculture, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Science,Guangdong, China (People’s Republic)
| | - A Chaves
- The University of Sydney, School of Life and Environmental Sciences,Sydney, Australia
| | - T McAllister
- Lethbridge Research and Development Centre, Agriculture and Agri-Food Canada,Lethbridge, AB, Canada
| | - A Iwaasa
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - M Schellenberg
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
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Lu YF, Liu L, Xu P, Zhu YJ, Hao YQ, Liu H, Yang Z, Peng K, Xu K. [A new method of measuring leg length discrepancy on radiograph in patients undergoing total hip arthroplasty]. Zhonghua Yi Xue Za Zhi 2018; 98:1479-1483. [PMID: 29804414 DOI: 10.3760/cma.j.issn.0376-2491.2018.19.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To investigate the reliability of the distance between the tip of the greater trochanter and inter-teardrop line (GT-IT) in evaluating the leg length discrepancy (LLD) in patients underwent total hip arthroplasty (THA). Methods: Patients who underwent THA in Xi'an Honghui Hospital from August 2015 to February 2016 were enrolled in this study.The patients were measured for bilateral hips anterior-posterior (AP) radiograph preoperatively and postoperatively.Four distances measured, included: GT-IT, the tip of lesser trochanter and bi-ischial line (LT-BI); LT-IT and the anterior superior iliac spine and the medial malleolus (ASIS-MM). Magnification factor was considered when calculating absolute values.Intraclass correlation coefficient (ICC) was used to detect the reliability of the measurement data.Single factor analysis and paired t test were performed to compare data among the methods. Results: The ICC values of the four groups were greater than 0.80, which showed excellent agreement in the measurements.Single factor analysis of variance showed there were no statistically significant differences in the LLDs of the four groups preoperatively and postoperatively (F=0.914, 0.886, both P>0.05). There was no significant differences in preoperative and postoperative LLD between group GT-IT and group ASIS-MM, LT-BI or LT-IT(t=-1.544-1.114, all P>0.05). The LLDs were comparable between group LT-BI, ASIS-MM and LT-IT both preoperatively and postoperatively (t=1.577, 0.976, 1.344, -0.087, all P>0.05). And the LLD in group LT-IT and ASIS-MM were equivalent preoperatively and postoperatively (t=0.130, 1.063, both P>0.05). Bland-Altman plot illustrated high level of agreements between the four methods. Conclusion: Great reliability can be obtained with the GT-IT in evaluating the LLD in patients undergoing THA.
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Affiliation(s)
- Y F Lu
- Osteonecrosis and Joint Reconstruction Surgery Ward of Joint Surgery, Xi'an Honghui Hospital, Xi'an 710054, China
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Chen B, Han MY, Peng K, Zhou SL, Shao L, Wu XF, Wei WD, Liu SY, Li Z, Li JS, Chen GQ. Global land-water nexus: Agricultural land and freshwater use embodied in worldwide supply chains. Sci Total Environ 2018; 613-614:931-943. [PMID: 28946381 DOI: 10.1016/j.scitotenv.2017.09.138] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2017] [Revised: 09/13/2017] [Accepted: 09/14/2017] [Indexed: 06/07/2023]
Abstract
As agricultural land and freshwater inextricably interrelate and interact with each other, the conventional water and land policy in "silos" should give way to nexus thinking when formulating the land and water management strategies. This study constructs a systems multi-regional input-output (MRIO) model to expound global land-water nexus by simultaneously tracking agricultural land and freshwater use flows along the global supply chains. Furthermore, land productivity and irrigation water requirements of 160 crops in different regions are investigated to reflect the land-water linkage. Results show that developed economies (e.g., USA and Japan) and major large developing economies (e.g., mainland China and India) are the overriding drivers of agricultural land and freshwater use globally. In general, significant net transfers of these two resources are identified from resource-rich and less-developed economies to resource-poor and more-developed economies. For some crops, blue water productivity is inversely related to land productivity, indicating that irrigation water consumption is sometimes at odds with land use. The results could stimulus international cooperation for sustainable land and freshwater management targeting on original suppliers and final consumers along the global supply chains. Moreover, crop-specific land-water linkage could provide insights for trade-off decisions on minimizing the environmental impacts on local land and water resources.
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Affiliation(s)
- B Chen
- Laboratory of Systems Ecology and Sustainability Science, College of Engineering, Peking University, Beijing 100871, China
| | - M Y Han
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, PR China
| | - K Peng
- Department of New Energy Science and Engineering, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China
| | - S L Zhou
- State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, PR China
| | - L Shao
- School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, People's Republic of China
| | - X F Wu
- Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China
| | - W D Wei
- Business School, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - S Y Liu
- Hebei Provincial Key Laboratory of Heavy Machinery Fluid Power Transmission and Control, Yanshan University, Qinhuangdao 066004, PR China
| | - Z Li
- Laboratory of Systems Ecology and Sustainability Science, College of Engineering, Peking University, Beijing 100871, China
| | - J S Li
- State Key Laboratory of Coal Combustion, Huazhong University of Science and Technology, Wuhan 430074, PR China; Department of New Energy Science and Engineering, School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, PR China.
| | - G Q Chen
- Laboratory of Systems Ecology and Sustainability Science, College of Engineering, Peking University, Beijing 100871, China.
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Peng K, Huang Q, Jin L, Niu D, McAllister TA, Denis H, Yang HE, Acharya S, Xu Z, Wang S, Wang Y. 283 Effects of condensed tannins on bacterial and fungal core microbiomes involved in the ensiling and aerobic spoilage of purple prairie clover (Dalea purpurea Vent.) silage. J Anim Sci 2017. [DOI: 10.2527/asasann.2017.283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Peng K, Xu Z, Jin L, McAllister TA, Acharya S, Wang S, Wang Y. 616 Effect of conservation method on in vitro ruminal fermentation of purple prairie clover (Dalea purpurea Vent.) in batch culture. J Anim Sci 2017. [DOI: 10.2527/asasann.2017.616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Peng K, Huang Q, Xu Z, McAllister TA, Acharya S, Wang S, Mueller-Harvey I, Drake C, Wang Y. 284 Characterization of condensed tannins from freeze-dried, silage, or hay purple prairie clover (Dalea purpurea Vent.): Structure composition, protein precipitation, and anti-Escherichia coli properties. J Anim Sci 2017. [DOI: 10.2527/asasann.2017.284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Peng K, Xu N, Zhang L, Xiao F, Indima N, Zhang J, Shen Y, Peng W, Tang G. Transluminal attenuation gradient and corrected models in coronary CT angiography for determining stenosis severity: a primary study using dual-source CT. Clin Radiol 2017; 72:508-516. [PMID: 28190514 DOI: 10.1016/j.crad.2017.01.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2016] [Revised: 12/30/2016] [Accepted: 01/06/2017] [Indexed: 11/18/2022]
Abstract
AIM To compare the incremental value of transluminal attenuation gradient (TAG), TAG with corrected contrast opacification (TAG-CCO), and TAG with exclusion of calcified coronary segments (TAG-ExC) in determining the stenosis severity of coronary arteries using coronary angiography (CAG) as the reference standard. MATERIALS AND METHODS One hundred and fifteen patients who underwent computed tomography coronary angiography (CTCA) and confirmed by coronary angiography (CAG) were included in the retrospective analysis. TAG, TAG-CCO, and TAG-ExC were calculated in 311 major epicardial coronary arteries. Changes in different TAG models were compared with corresponding stenosis severities ascertained by CAG. The diagnostic performances of TAG, TAG-CCO, TAG-ExC, and the TAG/CTCA, TAG-CCO/CTCA, and TAG-ExC/CTCA combinations over CTCA alone in evaluating stenosis severity were then analysed and compared. Furthermore, the incremental value of the TAG and the corrected models in the reclassification of CTCA-evaluated stenosis severity were calculated. RESULTS TAG, TAG-CCO, and TAG-ExC decreased gradually with increased stenosis severity (p<0.001 for all TAG models). TAG and TAG-ExC improved the diagnostic performance over CTCA in total vessel evaluation (c statistic= 0.926 versus 0.907, p=0.018; c statistic= 0.922 versus 0.907, p=0.030, respectively), but TAG-CCO did not. Meanwhile, adding TAG to CTCA enabled a significant reclassification in calcified vessels (n=95; net reclassification improvement = 0.143, p=0.038). CONCLUSIONS TAG and TAG-ExC improved the diagnostic performance of CTCA in all vessels. Adding TAG to CTCA significantly reclassified the calcified vessels. The additional value of TAG-CCO over CTCA alone in determining the stenosis severity is limited.
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Affiliation(s)
- K Peng
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - N Xu
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China; Department of Radiology, Shanghai East Hospital, Tongji University of Medicine, Shanghai, 200120, China
| | - L Zhang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - F Xiao
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - N Indima
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - J Zhang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Y Shen
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - W Peng
- Department of Cardiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - G Tang
- Department of Radiology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China.
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Bholee AK, Peng K, Zhou Z, Chen J, Xu L, Zhang Y, Chen M. Radiofrequency ablation combined with transarterial chemoembolization versus hepatectomy for patients with hepatocellular carcinoma within Milan criteria: a retrospective case-control study. Clin Transl Oncol 2017; 19:844-852. [PMID: 28070766 DOI: 10.1007/s12094-016-1611-0] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 12/31/2016] [Indexed: 01/01/2023]
Abstract
PROPOSAL To compare the effectiveness of TACE + RFA with hepatectomy in patients with HCC within Milan criteria. METHODS It is a retrospective matched case-control study from January 2006 to December 2010 in a tertiary cancer center. 74 patients with HCC within Milan criteria initially treated with TACE + RFA were identified and compared with 148 matched controls selected from a pool of 782 patients who received hepatectomy. Patients were matched with respect to age, gender, tumor size and number, AFP and liver function test. RESULTS The 1, 3, and 5 years overall survival (OS) was 94.6, 75.1 and 55.3%, respectively, in the combination group, and 91.2, 64.4, and 47.7%, respectively, in the hepatectomy group (P = 0.488). The 1, 3, and 5 years disease-free survival (DFS) in the combination group was 87.8, 48.3, and 33.5%, respectively, and 68.9, 49.2, and 40.9%, respectively, in the hepatectomy group (P = 0.619). In subgroups analyses according to the tumor size and number, no significant difference was identified in either OS or DFS for patients with single tumor smaller than 3.0 cm, 3.0-5.0 cm, and multiple tumors. Multivariate analysis showed that tumor size, ALT, and CLIP score were significant prognostic factors for OS, and ALT and Child-Pugh class were significant prognostic factors for DFS. CONCLUSION TACE + RFA is safe and as effective as hepatectomy for patients with HCC within Milan criteria.
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Affiliation(s)
- A K Bholee
- Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - K Peng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.,Department of Radiology, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
| | - Z Zhou
- Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - J Chen
- Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - L Xu
- Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China
| | - Y Zhang
- Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China. .,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
| | - M Chen
- Department of Hepatobiliary Surgery, Sun Yat-Sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China. .,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
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Huang Q, Jin L, Xu Z, Acharya S, McAllister T, Hu T, Iwaasa A, Schellenberg M, Peng K, Wang Y. Effects of conservation method on condensed tannin content, ruminal degradation, and in vitro intestinal digestion of purple prairie clover (Dalea purpurea Vent.). Can J Anim Sci 2016. [DOI: 10.1139/cjas-2016-0006] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
In situ and in vitro experiments were conducted to evaluate the effect of forage conservation method on the chemical composition, ruminal degradation, and intestinal digestion of purple prairie clover (PPC), which was conserved as freeze-dried forage (FD), silage (SIL), or hay (Hay). In situ dry matter (DM), neutral detergent fiber (NDF), and crude protein (CP) degradabilities were determined by incubating the forages in three rumen-cannulated heifers for 0, 1, 2, 4, 8, 24, 48, and 72 h. Intestinal DM and CP digestions were estimated by incubating 12 h ruminal in situ residues in a modified three-step in vitro procedure. Ensiling decreased (P < 0.001) extractable condensed tannins (CT) but increased (P < 0.001) protein- and fiber-bound CT compared with FD and Hay. The ruminal disappearance of CP at 8 and 24 h was affected by conservation method (P < 0.001), ranked as SIL > FD > Hay. The effective degradability of DM was lower (P < 0.001) for Hay than for FD and SIL. Ensiling lowered (P < 0.001) whereas haymaking increased (P < 0.001) intestinal digestion of CP compared with the fresh PPC. There were no differences in intestinal DM digestion among the three conserved forages. The results suggest that PPC conserved as Hay may conserve the biological activity of CT via preserving extractable CT more than as SIL, thus having the potential to improve protein utilization in ruminants.
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Affiliation(s)
- Q.Q. Huang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, People’s Republic of China
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB T1J 4B1, Canada
| | - L. Jin
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB T1J 4B1, Canada
| | - Z. Xu
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB T1J 4B1, Canada
| | - S. Acharya
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB T1J 4B1, Canada
| | - T.A. McAllister
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB T1J 4B1, Canada
| | - T.M. Hu
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi 712100, People’s Republic of China
| | - A. Iwaasa
- Swift Current Research and Development Centre, Swift Current, SK S9H 3X2, Canada
| | - M. Schellenberg
- Swift Current Research and Development Centre, Swift Current, SK S9H 3X2, Canada
| | - K. Peng
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB T1J 4B1, Canada
- College of Engineering, China Agricultural University, Haidian, Beijing 100083, People’s Republic of China
| | - Y. Wang
- Agriculture and Agri-Food Canada, Lethbridge Research Centre, P.O. Box 3000, Lethbridge, AB T1J 4B1, Canada
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Lin L, Lu J, Huang X, Ding L, Huang Y, Wang P, Peng K, Zhang D, Xu Y, Xu M, Chen Y, Bi Y, Wang W, Xu Y. Nonalcoholic fatty liver disease is associated with low-grade albuminuria in Chinese adults (change not displayed). QJM 2016; 109:737-743. [PMID: 27317608 DOI: 10.1093/qjmed/hcw070] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 03/24/2016] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Nonalcoholic fatty liver disease (NAFLD) was associated with higher risk of cardiovascular disease (CVD). Low-grade albuminuria was recognized as an early indicator of CVD. Epidemiological studies investigating the association between NAFLD and low-grade albuminuria were limited. AIM To determine whether NAFLD is independently associated with the presence of low-grade albuminuria in Chinese adults. DESIGN A cross-sectional community-based population study was performed in 8270 Chinese adults aged 40 years or older. METHODS A first-voided early morning spot urine sample was obtained for urinary albumin and creatinine measurements. The highest quartile of urinary albumin-to-creatinine ratio was defined as low-grade albuminuria, after excluding the participants with micro- or macroalbuminuria. NAFLD was diagnosed by using ultrasonography findings after the exclusion of alcohol abuse and other liver diseases. RESULTS The prevalence of low-grade albuminuria was significantly higher in participants with NAFLD than in those without NAFLD (33.6% vs. 21.3% in men and 30.4% vs. 22.8% in women, respectively). Multivariate-adjusted logistic regression analysis revealed that NAFLD was significantly associated with increased odds ratio of low-grade albuminuria in men (odds ratio, 1.47; 95% CI, 1.16-1.87) after adjusting for multiple confounders. The significant association was not detected in women. CONCLUSIONS NAFLD was significantly associated with an increased risk of present low-grade albuminuria in middle-aged and elderly Chinese men.
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Affiliation(s)
- L Lin
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - J Lu
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - X Huang
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - L Ding
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - Y Huang
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - P Wang
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - K Peng
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - D Zhang
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - Y Xu
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - M Xu
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - Y Chen
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - Y Bi
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - W Wang
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
| | - Y Xu
- From the State Key Laboratory of Medical Genomics, National Clinical Research Center for Metabolic Diseases, Collaborative Innovation Center of Systems Biomedicine, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Shanghai Institute of Endocrine and Metabolic Diseases, Department of Endocrine and Metabolic Diseases Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
- Department of Research and Development, Rui-Jin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200025, China
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Peng K, Shirley DC, Xu Z, Huang Q, McAllister TA, Chaves AV, Acharya S, Wang S, Wang Y. 1565 Effect of purple prairie clover (Dalea purpurea Vent.) and its condensed tannins on nutrient intake, digestibility, and growth performance of lambs. J Anim Sci 2016. [DOI: 10.2527/jam2016-1565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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43
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Peng K, Huang Q, McAllister TA, Wang S, Xu Z, Acharya S, Wang Y. 1564 Effects of condensed tannins on the ensiling and aerobic stability of purple prairie clover (Dalea purpurea Vent.) silage. J Anim Sci 2016. [DOI: 10.2527/jam2016-1564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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44
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Vélez JI, Lopera F, Sepulveda-Falla D, Patel HR, Johar AS, Chuah A, Tobón C, Rivera D, Villegas A, Cai Y, Peng K, Arkell R, Castellanos FX, Andrews SJ, Silva Lara MF, Creagh PK, Easteal S, de Leon J, Wong ML, Licinio J, Mastronardi CA, Arcos-Burgos M. APOE*E2 allele delays age of onset in PSEN1 E280A Alzheimer's disease. Mol Psychiatry 2016; 21:916-24. [PMID: 26619808 PMCID: PMC5414071 DOI: 10.1038/mp.2015.177] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2015] [Revised: 10/07/2015] [Accepted: 10/14/2015] [Indexed: 01/10/2023]
Abstract
Alzheimer's disease (AD) age of onset (ADAOO) varies greatly between individuals, with unique causal mutations suggesting the role of modifying genetic and environmental interactions. We analyzed ~50 000 common and rare functional genomic variants from 71 individuals of the 'Paisa' pedigree, the world's largest pedigree segregating a severe form of early-onset AD, who were affected carriers of the fully penetrant E280A mutation in the presenilin-1 (PSEN1) gene. Affected carriers with ages at the extremes of the ADAOO distribution (30s-70s age range), and linear mixed-effects models were used to build single-locus regression models outlining the ADAOO. We identified the rs7412 (APOE*E2 allele) as a whole exome-wide ADAOO modifier that delays ADAOO by ~12 years (β=11.74, 95% confidence interval (CI): 8.07-15.41, P=6.31 × 10(-8), PFDR=2.48 × 10(-3)). Subsequently, to evaluate comprehensively the APOE (apolipoprotein E) haplotype variants (E1/E2/E3/E4), the markers rs7412 and rs429358 were genotyped in 93 AD affected carriers of the E280A mutation. We found that the APOE*E2 allele, and not APOE*E4, modifies ADAOO in carriers of the E280A mutation (β=8.24, 95% CI: 4.45-12.01, P=3.84 × 10(-5)). Exploratory linear mixed-effects multilocus analysis suggested that other functional variants harbored in genes involved in cell proliferation, protein degradation, apoptotic and immune dysregulation processes (i.e., GPR20, TRIM22, FCRL5, AOAH, PINLYP, IFI16, RC3H1 and DFNA5) might interact with the APOE*E2 allele. Interestingly, suggestive evidence as an ADAOO modifier was found for one of these variants (GPR20) in a set of patients with sporadic AD from the Paisa genetic isolate. This is the first study demonstrating that the APOE*E2 allele modifies the natural history of AD typified by the age of onset in E280A mutation carriers. To the best of our knowledge, this is the largest analyzed sample of patients with a unique mutation sharing uniform environment. Formal replication of our results in other populations and in other forms of AD will be crucial for prediction, follow-up and presumably developing new therapeutic strategies for patients either at risk or affected by AD.
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Affiliation(s)
- J I Vélez
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.,Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | - F Lopera
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | - D Sepulveda-Falla
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia.,Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - H R Patel
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - A S Johar
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - A Chuah
- Genome Discovery Unit, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - C Tobón
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | - D Rivera
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | - A Villegas
- Neuroscience Research Group, University of Antioquia, Medellín, Colombia
| | - Y Cai
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - K Peng
- Biomolecular Resource Facility, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - R Arkell
- Early Mammalian Development Laboratory, Research School of Biology, The Australian National University, Canberra, ACT, Australia
| | - F X Castellanos
- NYU Child Study Center, NYU Langone Medical Center, New York, NY, USA.,Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - S J Andrews
- Genome Diversity and Health Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - M F Silva Lara
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - P K Creagh
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - S Easteal
- Genome Diversity and Health Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia
| | - J de Leon
- Mental Health Research Center at Eastern State Hospital, University of Kentucky, Lexington, KY, USA
| | - M L Wong
- South Australian Health and Medical Research Institute and Department of Psychiatry, School of Medicine, Flinders University, Adelaide, SA, Australia
| | - J Licinio
- South Australian Health and Medical Research Institute and Department of Psychiatry, School of Medicine, Flinders University, Adelaide, SA, Australia
| | - C A Mastronardi
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.,South Australian Health and Medical Research Institute and Department of Psychiatry, School of Medicine, Flinders University, Adelaide, SA, Australia
| | - M Arcos-Burgos
- Genomics and Predictive Medicine Group, Department of Genome Sciences, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.,Neuroscience Research Group, University of Antioquia, Medellín, Colombia
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Peng K, Russell S, Suksanpaisan L. Noninvasive Imaging of Cellular and Viral Therapies Using the NIS Reporter Gene. Cytotherapy 2016. [DOI: 10.1016/j.jcyt.2016.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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46
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Sheng J, Shu Q, Shi J, Wang J, Peng K, Yuan S, Hong Y. Immunological function and antibacterial activity of two ferritin proteins from the freshwater pearl mussel Hyriopsis schlegelii. Genet Mol Res 2016; 15:gmr8533. [DOI: 10.4238/gmr.15038533] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Liu G, Dang C, Peng K, Xie C, Chen H, Xing S, Chen X, Zeng J. Increased spontaneous neuronal activity in structurally damaged cortex is correlated with early motor recovery in patients with subcortical infarction. Eur J Neurol 2015; 22:1540-7. [PMID: 26453239 DOI: 10.1111/ene.12780] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2015] [Accepted: 06/05/2015] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE Secondary cortical thinning and volumetric atrophy in the motor-related cortex can inhibit early functional recovery after subcortical infarction. However, the relationship between the spontaneous neuronal activity in these cortices and motor recovery in patients with focal cerebral infarct remains unknown. METHODS Structural magnetic resonance imaging (MRI) and resting-state functional MRI were conducted 1, 4 and 12 weeks after onset in 22 patients with an acute subcortical infarct and in 22 normal subjects. Group differences in cortical thickness and in the amplitude of low-frequency fluctuation (ALFF) in motor-related areas were evaluated, and the relationships between ALFF, cortical thickness changes and changes in the Fugl-Meyer scores of physical performance were further analyzed. RESULTS In patients with subcortical infarction, progressively decreasing cortical thickness was found over the observation period ipsilesionally in the primary motor cortex (PMC), supplementary motor cortex (SMC) and precuneus (all P < 0.05). Contralesionally, progressive increases in cortical thickness were detected in SMC and insula (all P < 0.05). Increases in ALFF were observed only in PMC (bilaterally) and only at 12 weeks after stroke (all P < 0.05). The cortical thickness changes in the contralesional SMC (rs = 0.483, P = 0.023) and the ALFF changes in bilateral PMC (ipsilesional, rs = 0.51, P = 0.015; contralesional, rs = 0.463, P = 0.03) were positively correlated with changes in the Fugl-Meyer scores. CONCLUSIONS These results suggest that increased spontaneous neuronal activity of the PMC, a region structurally damaged secondarily to ischaemic lesion, may contribute to early motor recovery in patients with subcortical infarction.
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Affiliation(s)
- G Liu
- Department of Neurology and Stroke Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - C Dang
- Department of Neurology and Stroke Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - K Peng
- State Key Laboratory of Oncology in Southern China, Imaging Diagnosis and Interventional Center, Cancer Center of Sun Yat-Sen University, Guangzhou, China
| | - C Xie
- State Key Laboratory of Oncology in Southern China, Imaging Diagnosis and Interventional Center, Cancer Center of Sun Yat-Sen University, Guangzhou, China
| | - H Chen
- Department of Neurology and Stroke Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - S Xing
- Department of Neurology and Stroke Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - X Chen
- Department of Neurology and Stroke Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - J Zeng
- Department of Neurology and Stroke Center, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
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Li YL, Fu ZY, Yang MJ, Wang J, Peng K, Yang LJ, Tang J, Chen QC. Post-spike hyperpolarization participates in the formation of auditory behavior-related response patterns of inferior collicular neurons in Hipposideros pratti. Neuroscience 2015; 289:443-51. [DOI: 10.1016/j.neuroscience.2015.01.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 01/12/2015] [Accepted: 01/12/2015] [Indexed: 10/24/2022]
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Sheng JQ, Wang JH, He SH, Zeng LG, Peng K, Hong YJ. Complete mitochondrial genome of a natural triploid crucian carp mutant, Carassius auratus var. pingxiangnensis, and phylogenetic analysis of different ploidies in crucian carp. Genet Mol Res 2014; 13:5849-64. [PMID: 25117343 DOI: 10.4238/2014.august.1.3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Carassius auratus var. pingxiangnensis is a natural triploid crucian carp mutant. In order to understand its placement and genetic background at the gene level, the characteristics of mitochondrial DNA sequences and phylogenetic relationship were examined. The results showed that the mitochondrial DNA is a circular double-stranded DNA molecule that is 16,576 bp in length with 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes, and a non-coding control region. Mitochondrial genes overlapped by a total of 40 bp in 11 different locations from 1 to 14 bp. The base composition of the C. auratus mitogenome was estimated to be 29.70% A, 26.74% C, 15.35% G, and 28.21% T. The central conserved blocks and the conserved blocks were compared and were similar among C. auratus var. pingxiangnensis and six other cyprinids with different ploidies. The origin of light strand replication was similar to that of other vertebrates; it was 33 bp, but the characteristic sequence motif 5ꞌ-GCCGG-3ꞌ at the base of the stem within tRNA(Cys) was mutated to 5ꞌ-GGCGG- 3ꞌ. Our phylogenetic analysis based on whole mitogenome sequences indicated that C. auratus var. pingxiangnensis was clustered with C. auratus and then sister-grouped with Carassius gibelio. The systemic developmental tree of crucian carp with different chromosome ploidies showed that diploid C. auratus auratus was clustered with triploid C. auratus auratus, sister-grouped with tetraploid C. auratus auratus, and clustered with other diploid, triploid, and tetraploid C. auratus.
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Affiliation(s)
- J Q Sheng
- Aquaculture Science Department, College of Life Sciences, Nanchang University, Nanchang, China
| | - J H Wang
- Aquaculture Science Department, College of Life Sciences, Nanchang University, Nanchang, China
| | - S H He
- Aquaculture Science Department, College of Life Sciences, Nanchang University, Nanchang, China
| | - L G Zeng
- Nanchang Academy of Agricultural Science, Nanchang, China
| | - K Peng
- Aquaculture Science Department, College of Life Sciences, Nanchang University, Nanchang, China
| | - Y J Hong
- Aquaculture Science Department, College of Life Sciences, Nanchang University, Nanchang, China
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Ju W, Peng K, Yang S, Sun H, Sampson M, Wang MZ. A chiral HPLC-MS/MS method for simultaneous quantification of warfarin enantiomers and its major hydroxylation metabolites of CYP2C9 and CYP3A4 in human plasma. Austin J Anal Pharm Chem 2014; 1:1010. [PMID: 26161443 PMCID: PMC4494745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
Warfarin is an oral anticoagulant that requires frequent therapeutic drug monitoring due to a narrow therapeutic window, considerable interindividual variability in drug response, and susceptibility to drug-drug and drug-diet interactions. Enantiomeric separation and quantification of warfarin enantiomers and clinically important major hydroxylation metabolites are essential for drug interaction studies and phenotypic characterization of CYP2C9 and CYP3A4, the major cytochrome P450 (CYP) enzymes involved in warfarin metabolism. Here, we describe the development and validation of a chiral high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS)-based quantification of R-warfarin, S-warfarin, S-7-hydroxywarfarin (the major CYP2C9 metabolite) and (9R;10S)-10-hydroxywarfarin (the CYP3A4 metabolite) in human plasma. Simple protein precipitation-based extraction showed good recovery of analytes (82.9 - 96.9%). The developed method exhibited satisfactory intra-day and inter-day accuracy and precision. The lower limits of detection were 0.25 nM (or ~0.08 ng/mL) for the warfarin enantiomers and 0.1 nM (or ~0.04 ng/mL) for S-7-hydroxywarfarin and (9R;10S)-10-hydroxywarfarin using only 50 µL plasma during extraction. The validated method was successfully applied to analyze plasma samples obtained from a healthy human subject who enrolled in a clinical drug interaction study involving warfarin.
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Affiliation(s)
- W Ju
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, USA
| | - K Peng
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, USA
| | - S Yang
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, USA
| | - H Sun
- Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - M Sampson
- Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - MZ Wang
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, KS, USA
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