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Imamura M, Maeda S. Genetic studies of type 2 diabetes, and microvascular complications of diabetes. Diabetol Int 2024; 15:699-706. [PMID: 39469559 PMCID: PMC11512959 DOI: 10.1007/s13340-024-00727-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 04/24/2024] [Indexed: 10/30/2024]
Abstract
Genome-wide association studies (GWAS) have significantly advanced the identification of genetic susceptibility variants associated with complex diseases. As of 2023, approximately 800 variants predisposing individuals to the risk of type 2 diabetes (T2D) were identified through GWAS, and the majority of studies were predominantly conducted in European populations. Despite the shared nature of the majority of genetic susceptibility loci across diverse ethnic populations, GWAS in non-European populations, including Japanese and East Asian populations, have revealed population-specific T2D loci. Currently, polygenic risk scores (PRSs), encompassing millions of associated variants, can identify individuals with a higher T2D risk than the general population. However, GWAS focusing on microvascular complications of diabetes have identified a limited number of disease-susceptibility loci. Ongoing efforts are crucial to enhance the applicability of PRS for all ethnic groups and unravel the genetic architecture of microvascular complications of diabetes.
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Affiliation(s)
- Minako Imamura
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara-Cho, Okinawa 903-0215 Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Nishihara-Cho, Okinawa 930-0215 Japan
| | - Shiro Maeda
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Nishihara-Cho, Okinawa 903-0215 Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Nishihara-Cho, Okinawa 930-0215 Japan
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Zhou B, Bennett JE, Wickham AP, Singleton RK, Mishra A, Carrillo-Larco RM, Ikeda N, Jain L, Barradas-Pires A, Heap RA, Lhoste VPF, Sheffer KE, Phelps NH, Rayner AW, Gregg EW, Woodward M, Stevens GA, Iurilli MLC, Danaei G, Di Cesare M, Aguilar-Salinas CA, Ahmad NA, Bovet P, Chen Z, Damasceno A, Filippi SL, Janszky I, Kengne AP, Khang YH, Khunti K, Laxmaiah A, Lim LL, Lissner L, Margozzini P, Mbanya JCN, McGarvey ST, Shaw JE, Söderberg S, Soto-Mota LA, Wang J, Zaccardi F, Abarca-Gómez L, Abbasi-Kangevari M, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abdurrahmonova Z, Abu-Rmeileh NM, Acosta-Cazares B, Adam I, Adamczyk M, Aekplakorn W, Agdeppa IA, Aghazadeh-Attari J, Agyemang C, Ahmad MH, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Hinai H, Al-Lawati JA, Al-Raddadi R, Al Asfoor D, Al Hourani HM, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alieva AV, Alkandari A, Alkhatib BM, Aly E, Amarapurkar DN, Amiano Etxezarreta P, Amougou N, Andersen LB, Anderssen SA, Androutsos O, Anjana RM, Ansari-Moghaddam A, Anufrieva E, Aounallah-Skhiri H, Aris T, Arku RE, Arlappa N, Aryal KK, Assah FK, Assembekov B, Assunção MCF, Auvinen J, Avdičová M, Azad K, Azevedo A, Azimi-Nezhad M, Azizi F, Bacopoulou F, Bahijri S, Bajramovic I, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Baran R, Barbagallo CM, Barbosa Filho V, Barceló A, Baretić M, Barnoya J, Barrera L, Barros AJD, Barros MVG, Basit A, Bastos JL, Batieha AM, Batista AP, Batista RL, Battakova Z, Baur LA, Bayauli PM, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedek T, Benedics J, Benet M, Benitez Rolandi GE, Benzeval M, Bere E, Berger N, Bergh IH, Berkinbayev S, Bernabe-Ortiz A, Bettiol H, Beybey AF, Bezerra J, Bhagyalaxmi A, Bhargava SK, Bika Lele EC, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boggia JG, Bogova E, Bonaccio M, Bonilla-Vargas A, Borghs H, Botomba S, Bourne R, Boymatova K, Braeckman L, Braithwaite T, Brajkovich I, Branca F, Brenner H, Brewster LM, Briceño Y, Brinduse L, Bringolf-Isler B, Brito M, Brug J, Bugge A, Buntinx F, Buoncristiano M, Burns C, Cabrera de León A, Caixeta RB, Cama T, Can G, Cândido APC, Cañete F, Capanzana MV, Čapková N, Capuano E, Capuano R, Capuano V, Cardoso VC, Carlsson AC, Casanueva FF, Casas M, Censi L, Cervantes‐Loaiza M, Chamnan P, Chamukuttan S, Chan Q, Chaturvedi N, Chen F, Chen H, Chen LS, Cheng YJ, Cheraghian B, Chetrit A, Chikova-Iscener E, Chinapaw MJM, Chinnock A, Chiolero A, Chirita-Emandi A, Chirlaque MD, Chong CL, Christofaro DG, Chudek J, Cifkova R, Cirillo M, Claessens F, Clare P, Cohen E, Confortin SC, Coppinger TC, Cortés LY, Cosmin CR, Costanzo S, Cowan MJ, Cowell C, Crampin AC, Cross AJ, Crujeiras AB, Cruz JJ, Cucu AM, Cureau FV, Cuschieri S, D'Arrigo G, d'Orsi E, da Silva-Ferreira H, Dahm CC, Dallongeville J, Dankner R, Davletov K, de Assis Guedes de Vasconcelos F, de Assis MAA, De Bacquer D, De Bacquer J, de Bont J, De Curtis A, de Fragas Hinnig P, de Gaetano G, De Henauw S, De Miguel-Etayo P, de Oliveira PD, de Paiva KM, De Ridder K, de Valois Correia Júnior MA, Deepa M, DeGennaro VJ, Demarest S, Dennison E, Deschamps V, Dhimal M, Díez Ripollés MP, Dika Z, Djalalinia S, Dominguez L, Donati MB, Donfrancesco C, Dong G, Donoso SP, Dorobantu M, Dörr M, Dragano N, Drygas W, Du S, Duante CA, Duboz P, Duda RB, Duleva VL, Dushpanova A, Dyussupova A, Dziankowska-Zaborszczyk E, Ebrahimi N, Echeverría G, Eddie R, Eftekhar E, Efthymiou V, Egbagbe EE, Eghtesad S, Ekelund U, El-Khateeb M, El Ati J, Elosua R, Enang O, Erasmus RT, Erem C, Ergor G, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Esmaeili A, Evans RG, Fakhradiyev I, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farzadfar F, Farzi Y, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Fernando DR, Ferrante D, Ferrari G, Ferrari M, Ferreccio C, Ferrer E, Figueiró TH, Fijalkowska A, Fink G, Fisberg M, Forsner M, Fottrell EF, Fouad HM, Francis DK, Frontera G, Fuchs FD, Fuchs SC, Furdela V, Furusawa T, Gabriela SA, Gaciong Z, Galán Cuesta M, Galbarczyk A, Galcheva SV, Galfo M, Garcia-de-la-Hera M, Garcia P, Garnett SP, Gasull M, Gazzinelli A, Gehring U, Gerdts E, Ghaderi E, Ghamari SH, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gianfagna F, Gironella G, Giwercman A, Gkiouras K, Glushkova N, Godara R, Godos J, Goldberg M, Gómez G, Gómez Gómez JH, Gomez LF, Gómez SF, Gomula A, Gonçalves Cordeiro da Silva B, Gonçalves H, Gonçalves M, González-Alvarez AD, Gonzalez-Chica DA, González-Gil EM, Gonzalez-Gross M, González-Rivas JP, Gonzalez AR, Gottrand F, Grafnetter D, Grajda A, Grammatikopoulou MG, Grodzicki T, Grøholt EK, Grøntved A, Guajardo V, Guallar-Castillón P, Guerchet M, Guerrero R, Guimaraes AL, Gujral UP, Gulliford MC, Gunter MJ, Gupta R, Gureje O, Gurinović MA, Gurzkowska B, Gutierrez L, Gwee X, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hanekom WA, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Hardy L, Hari Kumar R, Harooni J, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, Heinen M, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herrala S, Herrera-Cuenca M, Herrera VM, Herter-Aeberli I, Herzig KH, Heshmat R, Hill AG, Ho SY, Holdsworth M, Homayounfar R, Homs C, Hoogendijk EO, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Huerta JM, Huhtaniemi IT, Huiart L, Huidumac Petrescu C, Huisman M, Husseini A, Huybrechts I, Hwalla N, Iacoviello L, Iakupova EM, Iannone AG, Igland J, Ijoma C, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Islek D, Ittermann T, Ivanova-Pandourska IY, Iwasaki M, Jääskeläinen T, Jackson RT, Jaddou HY, Jadoul M, Jafar T, Jan N, Janus E, Jarani J, Jarnig G, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jha AK, Jimenez RO, Jöckel KH, Joffres M, Jokelainen JJ, Jonas JB, 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P, Kyobutungi C, La QN, Labadarios D, Lachat C, Lai D, Laid Y, Lall L, Landaeta Jimenez M, Landais E, Lankila T, Lanska V, Lappas G, Larijani B, Lateva MP, Latt TS, Laurenzi M, Lazo-Porras M, Le Coroller G, Le Nguyen Bao K, Lehtimäki T, Lemogoum D, Leong E, Leszczak J, Leung GM, Li Y, Liivak M, Lim C, Lim WY, Lima-Costa MF, Lin HH, Lind L, Litwin M, Liu L, Liu X, Longo Abril G, Lopes O, Lopez-Garcia E, López-Gil JF, Lopez T, Lozano JE, Lukrafka JL, Luksiene D, Lundqvist A, Lunet N, Lunogelo C, Lustigová M, M'Buyamba-Kabangu JR, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Madar AA, Maestre GE, Maggi S, Magliano DJ, Magnacca S, Magriplis E, Mahasampath G, Maire B, Makdisse M, Malekpour MR, Malekzadeh F, Malekzadeh R, Mallikharjuna Rao K, Malyutina S, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Mapatano MA, Maria-Magdalena R, Mariño J, Markaki A, Marques LP, Marrugat J, Martorell R, Maruszczak K, Masala G, Mascarenhas LP, Masimango Imani M, Masinaei M, Mathiesen EB, Matijasevich A, Matłosz P, Matsha TE, Matsudo V, Matteo G, Maulik PK, Mavrogianni C, Mc Donald Posso AJ, McFarlane SR, McLean RM, Mediene Benchekor S, Mehlig K, Mehrparvar AH, Melgarejo JD, Méndez F, Mendivil CO, Mendoza Montano C, Menezes AMB, Mensink GBM, Mereke A, Meshram II, Meto DT, Meyer HE, Mi J, Miłkowska K, Miller JC, Milushkina O, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mišigoj-Duraković M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohd Yusoff MF, Mohebbi I, Møller NC, Molnár D, Momenan A, Mondo CK, Monroy-Valle MM, Montenegro Mendoza RA, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moradpour F, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Moslem A, Mosquera M, Mossakowska M, Mostafa A, Mostafavi SA, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muca F, Mugoša B, Munroe PB, Mursu J, Musa KI, Musić Milanović S, Musil V, Musinguzi G, Mustafa N, Muyer MTMC, Nabipour I, Naidu BM, Najafi F, Nalecz H, Námešná J, Narayan KMV, Naseri T, Nathalie M, Neelapaichit N, Nejatizadeh A, Nenko I, Nervi F, Neuhauser HK, Ng TP, Nguyen CT, Nguyen QV, Nguyen QN, Ni MY, Nie P, Nieto-Martínez RE, Niiranen TJ, Ninomiya T, Nishi N, Nishtar S, Noale M, Noboa OA, Nogueira H, Norton KI, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoğlu I, Nurk E, Nuwaha F, Nyirenda M, O'Neill TW, Ochimana C, Ochoa-Avilés AM, Oda E, Odili AN, Oh K, Ohtsuka R, Oldenburg B, Olié V, Omar MA, Omar SM, Onat A, Ong SK, Onland-Moret NC, Ono LM, Onodugo O, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Ottendahl CB, Otu A, Overvad K, Owusu-Dabo E, Padez CP, Pagkalos I, Pajula N, Palloni A, Palmieri L, Pan WH, Panza F, Paoli M, Papadopoulou SK, Pareja RG, Park SW, Park S, Parnell WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pavlyshyn H, Pechlaner R, Pećin I, Pedro JM, Peixoto SV, Peltonen M, Pereira AC, Peres KGDA, Peres MA, Perez-Londoño A, Pérez CM, Peterkova V, Petrovna Kovtun O, Peykari N, Pham ST, Pichardo RN, Pierre-Marie P, Pikhart H, Pilav A, Piler P, Piwonska A, Pizarro AN, Plata S, Pop RM, Popkin BM, Popovic SR, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Prista A, Providencia R, Puder JJ, Pudule I, Puhakka S, Puiu M, Punab M, Qorbani M, Quialheiro A, Quintana HK, Quiroga-Padilla PJ, Quoc Bao T, Rach S, Rahimikazerooni S, Rahman M, Raitakari O, Rakhmatulloev S, Rakovac I, Ramachandran A, Ramadan OPC, Ramirez-Zea M, Ramos R, Rampal L, Rampal S, Ramsay SE, Rangel Junior JFLB, Rangel Reina DA, Rangelova LS, Rarra V, Rashidi MM, Rech CR, Redon J, Regecová V, Renner JDP, Repasy JA, Reuter CP, Revilla L, Reynolds A, Rezaei N, Rezaianzadeh A, Riboli E, Rigo F, Rigotti A, Riley LM, Rinke de Wit TF, Risérus U, Ritti-Dias RM, Roa RG, Roccaldo R, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Rodríguez AY, Roggenbuck U, Rohloff P, Rojas-Martinez R, Romeo EL, Rosario RV, Rosengren A, Rouse I, Rubinstein A, Ruiz-Betancourt BS, Ruiz-Castell M, Ruiz Moreno E, Rusakova IA, Rusek W, Rust P, Rutkowski M, Saamel M, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Saghi MH, Saidi O, Saieva C, Sakata S, Saki N, Šalaj S, Salazar Martinez E, Salkhanova A, Salonen JT, Samoutian M, Sánchez-Abanto J, Sánchez Rodríguez I, Santos DA, Santos IS, Santos MP, Santos TR, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Saum KU, Savin S, Sbaraini M, Scazufca M, Schaan BD, Schienkiewitz A, Schindler K, Schipf S, Schmidt AF, Schmidt B, Schmidt CO, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schutte AE, Sebert S, Sedaghattalab M, Sein AA, Sen A, Sepanlou SG, Sequera G, Ševčíková Ľ, Sewpaul R, Shamah-Levy T, Shamshirgaran SM, Sharafkhah M, Sharma SK, Sharman A, Shayanrad A, Shayesteh AA, Shengelia L, Shibuya K, Shimizu-Furusawa H, Shiri R, Shoranov M, Shrestha N, Si-Ramlee K, Sibai AM, Sidossis LS, Silva 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TP, Turley ML, Tzala E, Tzotzas T, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Usupova Z, Uusitalo HMT, Uysal N, Valdivia G, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varela-Moreiras G, Vargas LN, Vasan SK, Vasques DG, Vega T, Velasquez-Melendez G, Velika B, Verdot C, Verloigne M, Veronesi G, Verschuren WMM, Verstraeten R, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Virtanen JK, Visser M, Viswanathan B, Vladulescu M, Völzke H, Voutilainen A, Vrijheid M, Wade AN, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang C, Wang H, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wartha O, Weber A, Webster-Kerr K, Wedderkopp N, Weghuber D, Wei W, Westbury L, Whincup PH, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wilks RJ, Willeit K, Willeit P, Williams J, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong EB, Wu FC, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yan L, Yan W, Yang Y, Yépez García M, Yoosefi M, Yoshihara A, Younger-Coleman NO, Yu YL, Yu Y, Yusoff AF, Zafiropulos V, Zainuddin AA, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zdrojewski T, Żegleń M, Zejglicova K, Zeljkovic Vrkic T, Zhang B, Zhang ZY, Zhecheva YV, Zholdin B, Zimmet P, Zins M, Zuñiga Cisneros J, Zuziak M, Ezzati M. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants. Lancet 2024; 404:851-863. [PMID: 39216975 DOI: 10.1016/s0140-6736(24)01405-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/24/2024] [Accepted: 07/04/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension. METHODS We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20-64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson's correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to which WHtR varies across regions at the same BMI. We graphically examined the prevalence of hypertension and the distribution of people who have hypertension both in relation to BMI and WHtR, and we assessed how closely BMI and WHtR discriminate between participants with and without hypertension using C-statistic and net reclassification improvement (NRI). FINDINGS The correlation between BMI and WHtR ranged from 0·76 to 0·89 within different regions. After adjusting for age and BMI, mean WHtR was highest in south Asia for both sexes, followed by Latin America and the Caribbean and the region of central Asia, Middle East and north Africa. Mean WHtR was lowest in central and eastern Europe for both sexes, in the high-income western region for women, and in Oceania for men. Conversely, to achieve an equivalent WHtR, the BMI of the population of south Asia would need to be, on average, 2·79 kg/m2 (95% CI 2·31-3·28) lower for women and 1·28 kg/m2 (1·02-1·54) lower for men than in the high-income western region. In every region, hypertension prevalence increased with both BMI and WHtR. Models with either of these two adiposity metrics had virtually identical C-statistics and NRIs for every region and sex, with C-statistics ranging from 0·72 to 0·81 and NRIs ranging from 0·34 to 0·57 in different region and sex combinations. When both BMI and WHtR were used, performance improved only slightly compared with using either adiposity measure alone. INTERPRETATION BMI can distinguish young and middle-aged adults with higher versus lower amounts of abdominal adiposity with moderate-to-high accuracy, and both BMI and WHtR distinguish people with or without hypertension. However, at the same BMI level, people in south Asia, Latin America and the Caribbean, and the region of central Asia, Middle East and north Africa, have higher WHtR than in the other regions. FUNDING UK Medical Research Council and UK Research and Innovation (Innovate UK).
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Xing F, Han F, Wu Y, Lv B, Tian H, Wang W, Tian X, Xu C, Duan H, Zhang D, Wu Y. An epigenome-wide association study of waist circumference in Chinese monozygotic twins. Int J Obes (Lond) 2024; 48:1148-1156. [PMID: 38773251 DOI: 10.1038/s41366-024-01538-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 05/05/2024] [Accepted: 05/09/2024] [Indexed: 05/23/2024]
Abstract
OBJECTIVES Central obesity poses significant health risks because it increases susceptibility to multiple chronic diseases. Epigenetic features such as DNA methylation may be associated with specific obesity traits, which could help us understand how genetic and environmental factors interact to influence the development of obesity. This study aims to identify DNA methylation sites associated with the waist circumference (WC) in Northern Han Chinese population, and to elucidate potential causal relationships. METHODS A total of 59 pairs of WC discordant monozygotic twins (ΔWC >0) were selected from the Qingdao Twin Registry in China. Generalized estimated equation model was employed to estimate the methylation levels of CpG sites on WC. Causal relationships between methylation and WC were assessed through the examination of family confounding factors using FAmiliaL CONfounding (ICE FALCON). Additionally, the findings of the epigenome-wide analysis were corroborated in the validation stage. RESULTS We identified 26 CpG sites with differential methylation reached false discovery rate (FDR) < 0.05 and 22 differentially methylated regions (slk-corrected p < 0.05) strongly linked to WC. These findings provided annotations for 26 genes, with notable emphasis on MMP17, ITGA11, COL23A1, TFPI, A2ML1-AS1, MRGPRE, C2orf82, and NINJ2. ICE FALCON analysis indicated the DNA methylation of ITGA11 and TFPI had a causal effect on WC and vice versa (p < 0.05). Subsequent validation analysis successfully replicated 10 (p < 0.05) out of the 26 identified sites. CONCLUSIONS Our research has ascertained an association between specific epigenetic variations and WC in the Northern Han Chinese population. These DNA methylation features can offer fresh insights into the epigenetic regulation of obesity and WC as well as hints to plausible biological mechanisms.
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Affiliation(s)
- Fangjie Xing
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Fulei Han
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Yan Wu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Bosen Lv
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Huimin Tian
- Zhonglou District Center for Disease Control and Prevention, Changzhou, Jiangsu, China
| | - Weijing Wang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Xiaocao Tian
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China
| | - Chunsheng Xu
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China
| | - Haiping Duan
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China
| | - Dongfeng Zhang
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China
| | - Yili Wu
- Department of Epidemiology and Health Statistics, Public Health College, Qingdao University, Qingdao, China.
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Kimura Y, Jo T, Inoue N, Suzukawa M, Hashimoto Y, Kumazawa R, Ishimaru M, Matsui H, Yokoyama A, Tanaka G, Sasabuchi Y, Yasunaga H. Association of Novel Antihyperglycemic Drugs Versus Metformin With a Decrease in Asthma Exacerbations. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2024; 12:2035-2044. [PMID: 38734374 DOI: 10.1016/j.jaip.2024.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/25/2023] [Revised: 04/10/2024] [Accepted: 05/01/2024] [Indexed: 05/13/2024]
Abstract
BACKGROUND Similar to metformin, dipeptidyl peptidase-4 inhibitors (DPP-4 Is), glucagon-like peptidase 1 receptor agonists (GLP-1 RAs), and sodium glucose co-transporter-2 inhibitors (SGLT-2 Is) may improve control of asthma owing to their multiple potential mechanisms, including differential improvements in glycemic control, direct anti-inflammatory effects, and systemic changes in metabolism. OBJECTIVE To investigate whether these novel antihyperglycemic drugs were associated with fewer asthma exacerbations compared with metformin in patients with asthma comorbid with type 2 diabetes. METHODS Using a Japanese national administrative database, we constructed 3 active comparators-new user cohorts of 137,173 patients with a history of asthma starting the novel antihyperglycemic drugs and metformin between 2014 and 2022. Patient characteristics were balanced using overlap propensity score weighting. The primary outcome was the first exacerbation requiring systemic corticosteroids, and the secondary outcomes included the number of exacerbations requiring systemic corticosteroids. RESULTS DPP-4 Is and GLP-1 RAs were associated with a higher incidence of exacerbations requiring systemic corticosteroids compared with metformin (DPP-4 Is: 18.2 vs 17.4 per 100 person-years, hazard ratio: 1.09, 95% confidence interval [CI]: 1.05-1.14; GLP-1 RAs: 24.9 vs 19.0 per 100 person-years, hazard ratio: 1.14, 95% CI: 1.01-1.28). In contrast, the incidence of exacerbations requiring systemic corticosteroids was similar between the SGLT-2 Is and metformin groups (17.3 vs 18.1 per 100 person-years, hazard ratio: 1.00, 95% CI: 0.97-1.03). While DPP-4 Is and GLP-1 RAs were associated with more exacerbations requiring systemic corticosteroids, SGLT-2 Is were associated with slightly fewer exacerbations requiring systemic corticosteroids (53.7 vs 56.6 per 100 person-years, rate ratio: 0.95, 95% CI: 0.91-0.99). CONCLUSIONS While DPP-4 Is and GLP-1 RAs were associated with poorer control of asthma compared with metformin, SGLT-2 Is offered asthma control comparable to that of metformin.
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Affiliation(s)
- Yuya Kimura
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan; Clinical Research Center, National Hospital Organization Tokyo Hospital, Tokyo, Japan.
| | - Taisuke Jo
- Department of Health Services Research, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan; Department of Respiratory Medicine, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Norihiko Inoue
- Department of Health Policy and Informatics, Tokyo Medical and Dental University Graduate School, Tokyo, Japan; Department of Clinical Data Management and Research, Clinical Research Center, National Hospital Organization Headquarters, Tokyo, Japan
| | - Maho Suzukawa
- Clinical Research Center, National Hospital Organization Tokyo Hospital, Tokyo, Japan
| | - Yohei Hashimoto
- Save Sight Institute, the University of Sydney, Sydney, NSW, Australia
| | - Ryosuke Kumazawa
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan
| | - Miho Ishimaru
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan; Department of Health Services Research, Faculty of Medicine, University of Tsukuba, Tsukuba, Ibaraki, Japan
| | - Hiroki Matsui
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan
| | - Akira Yokoyama
- Department of Respiratory Medicine, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Goh Tanaka
- Department of Respiratory Medicine, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Yusuke Sasabuchi
- Department of Real-world Evidence, Graduate School of Medicine, the University of Tokyo, Tokyo, Japan
| | - Hideo Yasunaga
- Department of Clinical Epidemiology and Health Economics, School of Public Health, the University of Tokyo, Tokyo, Japan
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Nakanishi S, Shimoda M, Kimura T, Sanada J, Fushimi Y, Iwamoto Y, Iwamoto H, Dan K, Mune T, Kaku K, Kaneto H. The impact of handgrip strength and waist circumference on glycemic control: Prospective, observational study using outpatient clinical data in Japanese patients with type 2 diabetes mellitus. J Diabetes Investig 2024; 15:892-898. [PMID: 38534048 PMCID: PMC11215675 DOI: 10.1111/jdi.14200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/13/2024] [Accepted: 03/16/2024] [Indexed: 03/28/2024] Open
Abstract
INTRODUCTION Loss of muscle mass and the accumulation of visceral fat are known risk factors for the deterioration of glycemic control in type 2 diabetes mellitus. This study looked at the effects of such factors on glycemic control in Japanese patients with type 2 diabetes mellitus in the form of handgrip strength (HGS) and waist circumference (WC). MATERIALS AND METHODS In this prospective, observational study, 233 patients with type 2 diabetes mellitus and a HbA1c level of ≥7.0% were followed for around 1 year, during which time they were studied for an understanding of the association between handgrip strength, waist circumference, and glycemic control (HbA1c <7.0%). Hazard ratios (HRs) and 95% confidence intervals (CIs) for glycemic control improvement by Cox hazards models were analyzed for handgrip strength and waist circumference. RESULTS Compared with the low tertile, patients in the middle and high tertiles of handgrip strength when adjustment was carried out for waist circumference were 2.117 (1.142-3.924) and 4.670 (2.526-8.632), respectively. The HRs of patients in the middle and high tertiles of WC when adjustment was made for HGS were 0.442 (0.269-0.725) and 0.339 (0.191-0.604), respectively. Within the low, middle, and high HGS tertiles, the HRs for WC were 0.863 (0.797-0.934), 0.940 (0.899-0.982), and 1.009 (0.984-1.035), respectively, although the HRs for HGS within each WC tertile remained significant. CONCLUSIONS Handgrip strength and waist circumference demonstrated independent associations for glycemic control, but the effect of waist circumference appeared to be at least partially canceled out by increased handgrip strength. The data suggest that handgrip strength might help to mitigate the negative impact of waist circumference on glycemic control.
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Affiliation(s)
- Shuhei Nakanishi
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Masashi Shimoda
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Tomohiko Kimura
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Junpei Sanada
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Yoshiro Fushimi
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Yuichiro Iwamoto
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Hideyuki Iwamoto
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Kazunori Dan
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Tomoatsu Mune
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Kohei Kaku
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
| | - Hideaki Kaneto
- Division of Diabetes, Metabolism and EndocrinologyKawasaki Medical SchoolOkayamaJapan
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Thanglen H, Zimik U, Thanglen R, Pemmichon RM, Chanak M, Bose K. Anthropometric markers and their cut-off point for the prediction of hypertension with lifestyle as a risk factor among Chiru tribe of North East India. ETHNICITY & HEALTH 2024; 29:505-522. [PMID: 38627237 DOI: 10.1080/13557858.2024.2342326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 04/06/2024] [Indexed: 07/16/2024]
Abstract
BACKGROUND The increased prevalence of obesity, particularly central obesity, is closely associated with many metabolic complexions, including hypertension and diabetes. OBJECTIVES The present study investigates the cut-off points of some anthropometric measurements such as body mass index [BMI (kg/m2)], waist circumference [WC (cm)], waist-hip ratio (WHR), and waist-height ratio (WHtR) associated with high blood pressure. It determines the risk factors among the Chiru tribe of North East India. METHODS The cross-sectional study was conducted in four villages in the hilly districts of Manipur. For the present study, 416 Chiru adults (209 males and 207 females) aged 20-79 years were included. Anthropometrics and blood pressure were measured using standard procedures. Statistical methods such as chi-square, Pearson correlation, and multivariate logistic regression were employed. RESULTS The result indicates that the cut-off values to detect hypertension were 21.83 for BMI, 82.55 for WC, 0.92 for WHR, and 0.53 for WHtR. However, the cut-off values to detect hypertension in females were 23.92 for BMI, 86.48 for WC, 0.94 for WHR, and 0.55 for WHtR. Multivariate logistic regression analysis indicated that hypertension was an independently associated risk factor in both males and females with an age ≥ 50 years (OR = 18.52 and 10.12), physical activity (OR = 0.10 and 0.21), salt intake (OR = 7.81 and 3.36), and smoking (OR = 2.56 and 3.23), respectively. CONCLUSION It has been concluded that BMI, WC, WHR, and WHtR values can determine hypertension risk in the Chiru population. Age, smoking, physical activity, and salt intake were independent risk factors associated with high blood pressure.
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Affiliation(s)
- Hosea Thanglen
- Department of Anthropology, Rajiv Gandhi University, Arunachal Pradesh, India
| | - Urapam Zimik
- Department of Anthropology, Kamakhya Pemton College, Manipur, India
| | | | - R M Pemmichon
- Department of Anthropology, Manipur University, Manipur, India
| | - Mahua Chanak
- Department of Anthropology, Vidyasagar University, Midnapore, India
| | - Kaushik Bose
- Department of Anthropology, Vidyasagar University, Midnapore, India
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7
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Imamura M, Maeda S. Perspectives on genetic studies of type 2 diabetes from the genome-wide association studies era to precision medicine. J Diabetes Investig 2024; 15:410-422. [PMID: 38259175 PMCID: PMC10981147 DOI: 10.1111/jdi.14149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 12/24/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024] Open
Abstract
Genome-wide association studies (GWAS) have facilitated a substantial and rapid increase in the number of confirmed genetic susceptibility variants for complex diseases. Approximately 700 variants predisposing individuals to the risk for type 2 diabetes have been identified through GWAS until 2023. From 2018 to 2022, hundreds of type 2 diabetes susceptibility loci with smaller effect sizes were identified through large-scale GWAS with sample sizes of 200,000 to >1 million. The clinical translation of genetic information for type 2 diabetes includes the development of novel therapeutics and risk predictions. Although drug discovery based on loci identified in GWAS remains challenging owing to the difficulty of functional annotation, global efforts have been made to identify novel biological mechanisms and therapeutic targets by applying multi-omics approaches or searching for disease-associated coding variants in isolated founder populations. Polygenic risk scores (PRSs), comprising up to millions of associated variants, can identify individuals with higher disease risk than those in the general population. In populations of European descent, PRSs constructed from base GWAS data with a sample size of approximately 450,000 have predicted the onset of diseases well. However, European GWAS-derived PRSs have limited predictive performance in non-European populations. The predictive accuracy of a PRS largely depends on the sample size of the base GWAS data. The results of GWAS meta-analyses for multi-ethnic groups as base GWAS data and cross-population polygenic prediction methodology have been applied to establish a universal PRS applicable to small isolated ethnic populations.
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Affiliation(s)
- Minako Imamura
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of MedicineUniversity of the RyukyusNishihara‐ChoJapan
- Division of Clinical Laboratory and Blood TransfusionUniversity of the Ryukyus HospitalNishihara‐ChoJapan
| | - Shiro Maeda
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of MedicineUniversity of the RyukyusNishihara‐ChoJapan
- Division of Clinical Laboratory and Blood TransfusionUniversity of the Ryukyus HospitalNishihara‐ChoJapan
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8
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Lea AJ, Clark AG, Dahl AW, Devinsky O, Garcia AR, Golden CD, Kamau J, Kraft TS, Lim YAL, Martins DJ, Mogoi D, Pajukanta P, Perry GH, Pontzer H, Trumble BC, Urlacher SS, Venkataraman VV, Wallace IJ, Gurven M, Lieberman DE, Ayroles JF. Applying an evolutionary mismatch framework to understand disease susceptibility. PLoS Biol 2023; 21:e3002311. [PMID: 37695771 PMCID: PMC10513379 DOI: 10.1371/journal.pbio.3002311] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 09/21/2023] [Indexed: 09/13/2023] Open
Abstract
Noncommunicable diseases (NCDs) are on the rise worldwide. Obesity, cardiovascular disease, and type 2 diabetes are among a long list of "lifestyle" diseases that were rare throughout human history but are now common. The evolutionary mismatch hypothesis posits that humans evolved in environments that radically differ from those we currently experience; consequently, traits that were once advantageous may now be "mismatched" and disease causing. At the genetic level, this hypothesis predicts that loci with a history of selection will exhibit "genotype by environment" (GxE) interactions, with different health effects in "ancestral" versus "modern" environments. To identify such loci, we advocate for combining genomic tools in partnership with subsistence-level groups experiencing rapid lifestyle change. In these populations, comparisons of individuals falling on opposite extremes of the "matched" to "mismatched" spectrum are uniquely possible. More broadly, the work we propose will inform our understanding of environmental and genetic risk factors for NCDs across diverse ancestries and cultures.
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Affiliation(s)
- Amanda J. Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Andrew G. Clark
- Department of Molecular Biology & Genetics, Cornell University, Ithaca, New York, United States of America
| | - Andrew W. Dahl
- Department of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Orrin Devinsky
- Department of Neurology, NYU Langone Comprehensive Epilepsy Center, NYU Grossman School of Medicine, New York, New York, United States of America
| | - Angela R. Garcia
- Department of Anthropology, Stanford University, Stanford, California, United States of America
| | - Christopher D. Golden
- Department of Nutrition, Harvard T H Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Joseph Kamau
- One Health Centre, Institute of Primate Research, Karen, Nairobi, Kenya
| | - Thomas S. Kraft
- Department of Anthropology, University of Utah, Salt Lake City, Utah, United States of America
| | - Yvonne A. L. Lim
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Dino J. Martins
- Turkana Basin Institute, Stony Brook University, Stony Brook, New York, United States of America
| | - Donald Mogoi
- Department of Medical Services and Public Health, Ministry of Health Laikipia County, Nanyuki, Kenya
| | - Päivi Pajukanta
- Department of Human Genetics, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, United States of America
| | - George H. Perry
- Departments of Anthropology and Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America
| | - Herman Pontzer
- Department of Evolutionary Anthropology, Duke University, Durham, North Carolina, United States of America
- Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America
| | - Benjamin C. Trumble
- School of Human Evolution and Social Change, Arizona State University, Tempe, Arizona, United States of America
- Center for Evolution and Medicine, Arizona State University, Tempe, Arizona, United States of America
| | - Samuel S. Urlacher
- Department of Anthropology, Baylor University, Waco, Texas, United States of America
| | - Vivek V. Venkataraman
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Alberta, Canada
| | - Ian J. Wallace
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, United States of America
| | - Michael Gurven
- Department of Anthropology, University of California Santa Barbara, Santa Barbara, California, United States of America
| | - Daniel E. Lieberman
- Department of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America
| | - Julien F. Ayroles
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey, United States of America
- Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America
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9
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Park SE, So WY, Kang YS, Yang JH. Relationship between Perceived Stress, Obesity, and Hypertension in Korean Adults and Older Adults. Healthcare (Basel) 2023; 11:2271. [PMID: 37628469 PMCID: PMC10454312 DOI: 10.3390/healthcare11162271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/31/2023] [Accepted: 08/03/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Perceived stress has a significant effect on metabolic diseases, including obesity and hypertension. However, the association between stress levels, obesity, and hypertension according to age and sex is not fully understood. Therefore, this study investigated the relationship between stress levels and obesity and hypertension in Korean adults and older adults. METHODS We analyzed data from the 2015 survey of the Korea National Physical Fitness Project conducted by the Korea Institute of Sports Science and the Korea Ministry of Culture, Sports, and Tourism. Of the 3457 participants, 2829 were adults (20-64 years old) and 628 were older adults (≥65 years old). The correlation between obesity and hypertension according to the degree of perceived stress (low, medium, and high) was analyzed using the chi-square test. Binary logistic regression analysis was used to investigate the influence of perceived stress levels on obesity and hypertension. Age, body mass index (BMI), blood pressure, exercise frequency, smoking, breakfast, and sleeping hours were included as covariates. RESULTS In adult males, perceived stress levels, age, and diastolic blood pressure were found to have a significant impact on obesity rates, whereas age and breakfast had a significant effect on hypertension rates. In adult females, age and systolic blood pressure were found to significantly influence obesity rates, whereas age, BMI, and exercise frequency had a significant impact on hypertension rates. In older adult females, perceived stress levels and systolic blood pressure were found to significantly impact obesity rates, and sleep duration influenced the rates of hypertension. The effect of perceived stress level on obesity and hypertension rates was less pronounced in the elderly population than in the adult population. CONCLUSIONS This study revealed age and sex differences in the relationship between perceived stress, obesity, and hypertension among Koreans. These findings contribute to a better understanding of the complex relationship between perceived stress and metabolic disorders and emphasize the need for a deeper understanding of the specific factors involved in the prevention and management of metabolic diseases.
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Affiliation(s)
- Sung-Eun Park
- Department of Sports Science, Korea Institute of Sport Science, Seoul 01794, Republic of Korea;
| | - Wi-Young So
- Sport Medicine Major, College of Humanities and Arts, Korea National University of Transportation, Chungju-si 27469, Republic of Korea;
| | - Yun-Sun Kang
- Department of Physical Education, Graduate School of Education, Sogang University, Seoul 04107, Republic of Korea
- Goyang Dance Company, Professional Arts Organization, Goyang-si 10417, Republic of Korea
| | - Jong-Hyun Yang
- Department of Physical Education, Incheon National University, Incheon 22012, Republic of Korea
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10
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Zhang J, Zhang S, Qiao J, Wang T, Zeng P. Similarity and diversity of genetic architecture for complex traits between East Asian and European populations. BMC Genomics 2023; 24:314. [PMID: 37308816 DOI: 10.1186/s12864-023-09434-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/07/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND Genome-wide association studies have detected a large number of single-nucleotide polymorphisms (SNPs) associated with complex traits in diverse ancestral groups. However, the trans-ethnic similarity and diversity of genetic architecture is not well understood currently. RESULTS By leveraging summary statistics of 37 traits from East Asian (Nmax=254,373) or European (Nmax=693,529) populations, we first evaluated the trans-ethnic genetic correlation (ρg) and found substantial evidence of shared genetic overlap underlying these traits between the two populations, with [Formula: see text] ranging from 0.53 (se = 0.11) for adult-onset asthma to 0.98 (se = 0.17) for hemoglobin A1c. However, 88.9% of the genetic correlation estimates were significantly less than one, indicating potential heterogeneity in genetic effect across populations. We next identified common associated SNPs using the conjunction conditional false discovery rate method and observed 21.7% of trait-associated SNPs can be identified simultaneously in both populations. Among these shared associated SNPs, 20.8% showed heterogeneous influence on traits between the two ancestral populations. Moreover, we demonstrated that population-common associated SNPs often exhibited more consistent linkage disequilibrium and allele frequency pattern across ancestral groups compared to population-specific or null ones. We also revealed population-specific associated SNPs were much likely to undergo natural selection compared to population-common associated SNPs. CONCLUSIONS Our study provides an in-depth understanding of similarity and diversity regarding genetic architecture for complex traits across diverse populations, and can assist in trans-ethnic association analysis, genetic risk prediction, and causal variant fine mapping.
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Affiliation(s)
- Jinhui Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Shuo Zhang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Jiahao Qiao
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China
| | - Ting Wang
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
| | - Ping Zeng
- Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
- Center for Medical Statistics and Data Analysis, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
- Key Laboratory of Human Genetics and Environmental Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
- Key Laboratory of Environment and Health, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
- Engineering Research Innovation Center of Biological Data Mining and Healthcare Transformation, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China.
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11
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Wang SY, Zhang WS, Jiang CQ, Jin YL, Zhu T, Zhu F, Xu L. Association of novel and conventional obesity indices with colorectal cancer risk in older Chinese: a 14-year follow-up of the Guangzhou Biobank Cohort Study. BMC Cancer 2023; 23:286. [PMID: 36991401 DOI: 10.1186/s12885-023-10762-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 03/21/2023] [Indexed: 03/30/2023] Open
Abstract
Abstract
Background
Visceral adiposity index (VAI) and a body shape index (ABSI) were newly developed indices for visceral fat mass. Whether they are superior to conventional obesity indices in predicting colorectal cancer (CRC) remains unclear. We examined the associations of VAI and ABSI with CRC risk, and investigated their performance in discriminating CRC risk compared with conventional obesity indices in the Guangzhou Biobank Cohort Study.
Methods
A total of 28,359 participants aged 50 + years without cancer history at baseline (2003-8) were included. CRC were identified from the Guangzhou Cancer Registry. Cox proportional hazards regression was used to assess the association of obesity indices with the CRC risk. Discriminative abilities of obesity indices were assessed using Harrell’s C-statistic.
Results
During an average follow-up of 13.9 (standard deviation = 3.6) years, 630 incident CRC cases were recorded. After adjusting for potential confounders, the hazard ratio (95% confidence interval) of incident CRC for per standard deviation increment in VAI, ABSI, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) was 1.04 (0.96, 1.12), 1.13 (1.04, 1.22), 1.08 (1.00, 1.17), 1.15 (1.06, 1.24), 1.16 (1.08, 1.25)and 1.13 (1.04, 1.22), respectively. Similar results for colon cancer were found. However, the associations of obesity indices with risk of rectal cancer were non-significant. All obesity indices showed similar discriminative abilities (C-statistics from 0.640 to 0.645), with WHR showing the highest whilst VAI and BMI the lowest.
Conclusions
ABSI, but not VAI, was positively associated with a higher risk of CRC. However, ABSI was not superior to the conventional abdominal obesity indices in predicting CRC.
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Yan H, Li Y, Li S, Zhou C, Wei S, Li J, Zhang XY. Sex differences in the prevalence and clinical correlates of diabetes in Chinese patients with chronic schizophrenia. Heliyon 2023; 9:e14183. [PMID: 36950609 PMCID: PMC10025886 DOI: 10.1016/j.heliyon.2023.e14183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/12/2023] [Accepted: 02/24/2023] [Indexed: 03/06/2023] Open
Abstract
Sex differences have been noted in schizophrenia (SCZ) and diabetes mellitus (DM); however, the effect of sex on SCZ patients with DM remains unknown. We aimed to investigate sex differences in the prevalence, demographic and clinical correlates of DM in Chinese patients with chronic SCZ. A total of 988 Han Chinese SCZ patients (male/female: 638/350) were recruited from two psychiatric hospitals in China. We used the Positive and Negative Syndrome Scale (PANSS) to evaluate the psychopathological symptoms of the patients. In addition, serum glucose and lipid levels were assayed. The prevalence of DM in female patients (57/350, 16.29%) was higher than that in male patients (79/638, 12.38%). Binary logistic regression analyses confirmed that the prevalence of DM in female patients was higher than that in male patients (P < 0.001, OR = 4.62, 95% CI = 2.11-10.11). Moreover, female patients had significantly higher positive symptoms than male patients (P = 0.003, OR = 1.08, 95% CI = 1.03-1.14). Further, higher body mass index (BMI) and higher triglyceride (TG) were significantly associated with DM in men (both P < 0.05). Decreased high density lipoprotein (HDL) was significantly associated with DM in both male and female patients (both P < 0.01). Comorbid DM is more common in female SCZ patients, and there are sex-specific correlates of DM in SCZ.
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Affiliation(s)
- Huiming Yan
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Yanzhe Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Shen Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Chi Zhou
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Shuochi Wei
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
- Corresponding authorTianjin Anding Hospital, Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
| | - Xiang-Yang Zhang
- CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
- Corresponding authorInstitute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
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13
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Teng ML, Ng CH, Huang DQ, Chan KE, Tan DJ, Lim WH, Yang JD, Tan E, Muthiah MD. Global incidence and prevalence of nonalcoholic fatty liver disease. Clin Mol Hepatol 2023; 29:S32-S42. [PMID: 36517002 PMCID: PMC10029957 DOI: 10.3350/cmh.2022.0365] [Citation(s) in RCA: 141] [Impact Index Per Article: 141.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Nonalcoholic fatty liver disease (NAFLD) is a leading cause of liver disease worldwide. The estimated global incidence of NAFLD is 47 cases per 1,000 population and is higher among males than females. The estimated global prevalence of NAFLD among adults is 32% and is higher among males (40%) compared to females (26%). The global prevalence of NAFLD has increased over time, from 26% in studies from 2005 or earlier to 38% in studies from 2016 or beyond. The prevalence of NAFLD varies substantially by world region, contributed by differing rates of obesity, and genetic and socioeconomic factors. The prevalence of NAFLD exceeds 40% in the Americas and South-East Asia. The prevalence of NAFLD is projected to increase significantly in multiple world regions by 2030 if current trends are left unchecked. In this review, we discuss trends in the global incidence and prevalence of NAFLD and discuss future projections.
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Affiliation(s)
- Margaret Lp Teng
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Daniel Q Huang
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- National University Centre for Organ Transplantation, National University Hospital, Singapore
| | - Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Darren Jh Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ju Dong Yang
- Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Eunice Tan
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- National University Centre for Organ Transplantation, National University Hospital, Singapore
| | - Mark D Muthiah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- National University Centre for Organ Transplantation, National University Hospital, Singapore
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Pan Q, Li Y, Wan H, Wang J, Xu B, Wang G, Jiang C, Liang L, Feng W, Liu J, Wang T, Zhang X, Cui N, Mu Y, Guo L. Efficacy and safety of a basal insulin + 2-3 oral antihyperglycaemic drugs regimen versus a twice-daily premixed insulin + metformin regimen after short-term intensive insulin therapy in individuals with type 2 diabetes: The multicentre, open-label, randomized controlled BEYOND-V trial. Diabetes Obes Metab 2022; 24:1957-1966. [PMID: 35642463 PMCID: PMC9543477 DOI: 10.1111/dom.14780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 05/18/2022] [Accepted: 05/26/2022] [Indexed: 11/30/2022]
Abstract
AIM To compare the efficacy and safety of basal insulin glargine 100 units/ml (Gla) + 2-3 oral antihyperglycaemic drugs (OADs) with twice-daily premixed insulin aspart 70/30 (Asp30) + metformin (MET) after short-term intensive insulin therapy in adults with type 2 diabetes in China. MATERIALS AND METHODS This open-label trial enrolled insulin-naïve adults with type 2 diabetes and an HbA1c of 7.5%-11.0% (58-97 mmol/mol) despite treatment with 2-3 OADs. All participants stopped previous OADs except MET, then received short-term intensive insulin therapy during the run-in period, when those with a fasting plasma glucose of less than 7.0 mmol/L and 2-hour postprandial glucose of less than 10.0 mmol/L were randomized to Gla + MET + a dipeptidyl peptidase-4 inhibitor or twice-daily Asp30 + MET. If HbA1c was more than 7.0% (>53 mmol/mol) at week 12, participants in the Gla group were added repaglinide or acarbose, at the physician's discretion, and participants in the Asp30 group continued to titrate insulin dose. The change in HbA1c from baseline to week 24 was assessed in the per protocol (PP) population (primary endpoint). RESULTS There were 384 enrollees (192 each to Gla and Asp30); 367 were included in the PP analysis. The threshold for non-inferiority of Gla + OADs versus Asp30 + MET was met, with a least squares mean change from baseline in HbA1c of -1.72% and -1.70% (-42.2 and -42.1 mmol/mol), respectively (estimated difference -0.01%; 95% CI -0.20%, 0.17% [-0.1 mmol/mol; 95% CI -2.2, 1.9]). Achievement of HbA1c less than 7.0% (<53 mmol/mol) was comparable between the groups (60% vs. 57%). The proportion of participants with any (24% vs. 38%; P = .003), symptomatic (19% vs. 31%; P = .007) or confirmed hypoglycaemia (18% vs. 33%; P < .001) was lower in the Gla + OADs group. CONCLUSIONS Compared with Asp30 + MET, Gla + 2-3 OADs showed similar efficacy but a lower hypoglycaemia risk in Chinese individuals with type 2 diabetes who had undergone short-term intensive insulin therapy.
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Affiliation(s)
- Qi Pan
- Department of Endocrinology, Beijing HospitalNational Center of GerontologyBeijingChina
| | - Yijun Li
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Hailong Wan
- Department of EndocrinologyPanjin Central HospitalPanjinChina
| | - Junfen Wang
- Department of EndocrinologySecond Hospital of ShijiazhuangShijiazhuangChina
| | - Binhua Xu
- Department of EndocrinologyHarbin the First HospitalHarbinChina
| | - Guoping Wang
- Department of EndocrinologySecond Affiliated Hospital of Baotou Medical CollegeBaotouChina
| | - Chengxia Jiang
- Department of EndocrinologyThe Second People's Hospital of YibinYibinChina
| | - Li Liang
- Department of EndocrinologyPeople's Hospital of Liaoning ProvinceShenyangChina
| | - Wei Feng
- Medical DepartmentSanofiShanghaiChina
| | | | - Ting Wang
- Medical DepartmentSanofiShanghaiChina
| | - Xia Zhang
- Medical DepartmentSanofiShanghaiChina
| | - Nan Cui
- Medical DepartmentSanofiShanghaiChina
| | - Yiming Mu
- Department of EndocrinologyThe First Medical Center of Chinese PLA General HospitalBeijingChina
| | - Lixin Guo
- Department of Endocrinology, Beijing HospitalNational Center of GerontologyBeijingChina
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Wallace IJ, Lea AJ, Lim YAL, Chow SKW, Sayed IBM, Ngui R, Shaffee MTH, Ng KS, Nicholas C, Venkataraman VV, Kraft TS. Orang Asli Health and Lifeways Project (OA HeLP): a cross-sectional cohort study protocol. BMJ Open 2022; 12:e058660. [PMID: 36127083 PMCID: PMC9490611 DOI: 10.1136/bmjopen-2021-058660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
INTRODUCTION Non-communicable disease (NCD) risk is influenced by environmental factors that are highly variable worldwide, yet prior research has focused mainly on high-income countries where most people are exposed to relatively homogeneous and static environments. Understanding the scope and complexity of environmental influences on NCD risk around the globe requires more data from people living in diverse and changing environments. Our project will investigate the prevalence and environmental causes of NCDs among the indigenous peoples of Peninsular Malaysia, known collectively as the Orang Asli, who are currently undergoing varying degrees of lifestyle and sociocultural changes that are predicted to increase vulnerability to NCDs, particularly metabolic disorders and musculoskeletal degenerative diseases. METHODS AND ANALYSIS Biospecimen sampling and screening for a suite of NCDs (eg, cardiovascular disease, type II diabetes, osteoarthritis and osteoporosis), combined with detailed ethnographic work to assess key lifestyle and sociocultural variables (eg, diet, physical activity and wealth), will take place in Orang Asli communities spanning a gradient from remote, traditional villages to acculturated, market-integrated urban areas. Analyses will first test for relationships between environmental variables, NCD risk factors and NCD occurrence to investigate how environmental changes are affecting NCD susceptibility among the Orang Asli. Second, we will examine potential molecular and physiological mechanisms (eg, epigenetics and systemic inflammation) that mediate environmental effects on health. Third, we will identify intrinsic (eg, age and sex) and extrinsic (eg, early-life experiences) factors that predispose certain people to NCDs in the face of environmental change to better understand which Orang Asli are at greatest risk of NCDs. ETHICS AND DISSEMINATION Approval was obtained from multiple ethical review boards including the Malaysian Ministry of Health. This study follows established principles for ethical biomedical research among vulnerable indigenous communities, including fostering collaboration, building cultural competency, enhancing transparency, supporting capacity building and disseminating research findings.
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Affiliation(s)
- Ian J Wallace
- Department of Anthropology, University of New Mexico, Albuquerque, New Mexico, USA
| | - Amanda J Lea
- Department of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA
- Child and Brain Development Program, CIFAR, Toronto, Ontario, Canada
| | - Yvonne A L Lim
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | - Steven K W Chow
- Federation of Private Medical Practitioners' Associations of Malaysia, Kuala Lumpur, Malaysia
- Pantai Hospital, Kuala Lumpur, Malaysia
| | | | - Romano Ngui
- Department of Parasitology, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | | | - Kee-Seong Ng
- Department of Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia
| | | | - Vivek V Venkataraman
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Alberta, Canada
| | - Thomas S Kraft
- Department of Anthropology, University of Utah, Salt Lake City, Utah, USA
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Suppakittpaisarn P, Charoenlertthanakit N, Yaipimol E, Surinseng V, Wanitchayapaisit C, Kim G. Relationship between the Duration of Urban Nature and a Lower Waist-Hip Ratio. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11606. [PMID: 36141879 PMCID: PMC9517536 DOI: 10.3390/ijerph191811606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 08/11/2022] [Accepted: 09/13/2022] [Indexed: 06/16/2023]
Abstract
Obesity is a prevalent health issue. Evidence suggests that the availability of urban nature may reduce the risks of obesity. However, several knowledge gaps remain. This study explores the relationships between the dose (distance, duration and frequency) of urban nature and demographic factors towards obesity risks among people in Thailand. A total of 111 participants in three urban and peri-urban nature locations answered a survey regarding their distance from green spaces, frequency of visits, and duration of their typical stay, as well as their socio-demographics, and waist-hip ratio (WHR). The results suggested that at least 1-2 h per typical visit to nature predicted low-risk WHR in women. Male participants are more likely to have a high-risk WHR. Increasing age predicted low-risk WHR. Spending more time in green spaces predicted lower odds of high-risk WHR, while distance did not predict the odds. This research is one of the first to study the relationship between time spent in nature and obesity, and one of the first nature and health studies conducted in Thailand. Given that Thailand is one of the countries most affected by obesity in Southeast Asia, this study is relevant and essential. Future research should explore the quality factors of the park with longer duration of stay.
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Affiliation(s)
- Pongsakorn Suppakittpaisarn
- Landscape Design and Environmental Management Studio, Faculty of Agriculture, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand
| | - Nadchawan Charoenlertthanakit
- Landscape Design and Environmental Management Studio, Faculty of Agriculture, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand
- Department of Biology, Faculty of Sciences, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand
| | - Ekachai Yaipimol
- Landscape Design and Environmental Management Studio, Faculty of Agriculture, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand
| | - Vipavee Surinseng
- Landscape Design and Environmental Management Studio, Faculty of Agriculture, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand
| | - Chulalux Wanitchayapaisit
- Landscape Design and Environmental Management Studio, Faculty of Agriculture, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand
- Department of Environmental Engineering, Faculty of Engineering, Chiang Mai University, Mueang Chiang Mai, Chiang Mai 50200, Thailand
| | - Gunwoo Kim
- Graduate School of Urban Studies, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea
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Noguchi Y, Yoshizawa S, Tachi T, Teramachi H. Effect of Dipeptidyl Peptidase-4 Inhibitors vs. Metformin on Major Cardiovascular Events Using Spontaneous Reporting System and Real-World Database Study. J Clin Med 2022; 11:jcm11174988. [PMID: 36078917 PMCID: PMC9456525 DOI: 10.3390/jcm11174988] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 08/22/2022] [Accepted: 08/23/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Metformin had been recommended as the first-line treatment for type 2 diabetes since 2006 because of its low cost, high efficacy, and potential to reduce cardiovascular events, and thus death. However, dipeptidyl peptidase-4 (DPP-4) inhibitors are the most commonly prescribed first-line agents for patients with type 2 diabetes in Japan. Therefore, it is necessary to clarify the effect of DPP-4 inhibitors on preventing cardiovascular events, taking into consideration the actual prescription of antidiabetic drugs in Japan. Methods: This study examined the effect of DPP-4 inhibitors on preventing cardiovascular events. The Japanese Adverse Drug Event Report (JADER) database, a spontaneous reporting system in Japan, and the Japanese Medical Data Center (JMDC) Claims Database, a Japanese health insurance claims and medical checkup database, were used for the analysis. Metformin was used as the DPP-4 inhibitor comparator. Major cardiovascular events were set as the primary endpoint. Results: In the analysis using the JADER database, a signal of major cardiovascular events was detected with DPP-4 inhibitors (IC: 0.22, 95% confidence interval: 0.03–0.40) but not with metformin. In the analysis using the JMDC Claims Database, the hazard ratio of major cardiovascular events for DPP-4 inhibitors versus metformin was 1.01 (95% CI: 0.84–1.20). Conclusions: A comprehensive analysis using two different databases in Japan, the JADER and the JMDC Claims Database, showed that DPP-4 inhibitors, which are widely used in Japan, have a non-inferior risk of cardiovascular events compared to metformin, which is used as the first-line drug in the United States and Europe.
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Affiliation(s)
- Yoshihiro Noguchi
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi 501-1196, Japan
- Correspondence: (Y.N.); (H.T.); Tel.: +81-230-8100 (Y.N.); +81-230-8100 (H.T.)
| | - Shunsuke Yoshizawa
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi 501-1196, Japan
| | - Tomoya Tachi
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi 501-1196, Japan
| | - Hitomi Teramachi
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi 501-1196, Japan
- Laboratory of Community Healthcare Pharmacy, Gifu Pharmaceutical University, 1-25-4, Daigakunishi, Gifu-shi 501-1196, Japan
- Correspondence: (Y.N.); (H.T.); Tel.: +81-230-8100 (Y.N.); +81-230-8100 (H.T.)
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18
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Wang J, Wu J, Li W, Wang X, Liu R, Liu T, Xiao J. Linking Mitochondrial Function to Insulin Resistance: Focusing on Comparing the Old and the Young. Front Nutr 2022; 9:892719. [PMID: 35811955 PMCID: PMC9260383 DOI: 10.3389/fnut.2022.892719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 05/16/2022] [Indexed: 11/13/2022] Open
Abstract
Long-term intake of high-energy diet can lead to decreased insulin sensitivity and even insulin resistance, eventually leading to diabetes. Diabetes often occurs in middle-aged and elderly people. However, there is growing evidence that the incidence rate of young body is increasing over the years. This means that insulin resistance can be caused by excessive energy intake in both young and old people. In this study, high-fat diet (HFD) and normal diet were fed to rats of elderly experimental group (EE), elderly control group (EC), young experimental group (YE), and young control group (YC), respectively, for 8 weeks, by which insulin resistance model was obtained. Insulin sensitivity was measured, histopathology changes in liver and skeletal muscle tissues were observed, and mitochondrial fusion and division and cell senescence were detected in four groups of rats. The results showed that both young and elderly rats developed significant insulin resistance, fat deposition, decline of mitochondrial function and mitochondrial biosynthesis in liver and skeletal muscle, and cell aging after HFD feeding. In addition, the degree of mitochondrial dysfunction and aging in young rats was similar to that of aged rats fed a normal diet after HFD. This experiment provides a reference for an in-depth study of the regulatory mechanisms of cellular energy metabolism in this state.
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Affiliation(s)
- Jingxuan Wang
- Key Laboratory for Prevention and Control of Common Animal Diseases in General Higher Education Institutions of Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Junnan Wu
- Key Laboratory for Prevention and Control of Common Animal Diseases in General Higher Education Institutions of Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Wenjing Li
- Key Laboratory for Prevention and Control of Common Animal Diseases in General Higher Education Institutions of Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Xinyu Wang
- Key Laboratory for Prevention and Control of Common Animal Diseases in General Higher Education Institutions of Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Ruifang Liu
- Key Laboratory for Prevention and Control of Common Animal Diseases in General Higher Education Institutions of Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Tao Liu
- Key Laboratory for Prevention and Control of Common Animal Diseases in General Higher Education Institutions of Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
| | - Jianhua Xiao
- Key Laboratory for Prevention and Control of Common Animal Diseases in General Higher Education Institutions of Heilongjiang Province, College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- College of Veterinary Medicine, Northeast Agricultural University, Harbin, China
- *Correspondence: Jianhua Xiao
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Wang X, Wu G, Shen D, Zhang X, Yang W. Unmet Needs of Glycaemic Control and Risk Factors of Residual Hyperglycaemia in a Chinese Population with Type 2 Diabetes Initiating Basal Insulin: A Post Hoc Analysis of the FPG GOAL Study. Adv Ther 2022; 39:2820-2830. [PMID: 35430674 PMCID: PMC9123059 DOI: 10.1007/s12325-022-02128-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 03/14/2022] [Indexed: 11/28/2022]
Abstract
Introduction To aim of this analysis was to investigate the extent and evaluate risk factors of residual hyperglycaemia in Chinese individuals with type 2 diabetes (T2D) initiating basal insulin. Methods FPG GOAL was a 24-week, open-label, treat-to-target randomised controlled trial in Chinese individuals with T2D inadequately controlled with oral anti-hyperglycaemic drugs initiating treatment with basal insulin. This analysis categorised participants into the following glycaemic control categories: hyperglycaemia [glycated haemoglobin (HbA1c) ≥ 53 mmol/mol (≥ 7%), fasting plasma glucose (FPG) ≥ 7.0 mmol/L], residual hyperglycaemia [HbA1c ≥ 53 mmol/mol (≥ 7%), FPG < 7.0 mmol/L], discordant [HbA1c < 53 mmol/mol (< 7%), FPG ≥ 7.0 mmol/L] and at target [HbA1c < 53 mmol/mol (< 7%), FPG < 7.0 mmol/L]. The proportion of participants in each glycaemic control category was assessed at weeks 12 and 24. Multivariable regression analyses were conducted to evaluate risk factors for residual hyperglycaemia. Results Of the 914 participants included, 22.1% had residual hyperglycaemia, 31.9% had hyperglycaemia, 11.1% were discordant and 29.3% were at target at week 24. More participants who were randomised to a fasting blood glucose (FBG) target of > 3.9 to ≤ 5.6 mmol/L had residual hyperglycaemia compared with participants randomised to a FBG target of > 3.9 to ≤ 6.1 mmol/L or > 3.9 to ≤ 7.0 mmol/L. Multivariable analysis indicated that higher HbA1c and lower FPG levels at baseline were associated with greater proportion of residual hyperglycaemia. Conclusion Some Chinese individuals with T2D may have residual hyperglycaemia 3–6 months after initiating basal insulin treatment and require further intensified treatment. Higher HbA1c and lower FPG levels could be risk factors for residual hyperglycaemia. Trial Registration ClinicalTrials.gov identifier NCT02545842. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-022-02128-y.
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Affiliation(s)
- Xin Wang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, 100029, China
| | | | - Dan Shen
- Sanofi Real-World Evidence, Shanghai, China
| | | | - Wenying Yang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, 100029, China.
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Li L, Wang Z, Ruan H, Zhang M, Zhou L, Wei X, Zhu Y, Wei J, Chen X, He S. New metabolic health definition might not be a reliable predictor for diabetes in the nonobese Chinese population. Diabetes Res Clin Pract 2022; 184:109213. [PMID: 35085646 DOI: 10.1016/j.diabres.2022.109213] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2021] [Revised: 01/10/2022] [Accepted: 01/18/2022] [Indexed: 11/24/2022]
Abstract
AIM To investigate the predictive values of the new metabolic health (MH) definition for future diabetes in a nonobese Chinese population, compared with the MH definition from metabolic syndrome (MetS). METHODS The data were collected in 1992 and then again in 2007 from the same group of 653 participants. The risk assessment of the new MH definition and the MH definition from MetS for future diabetes was performed by Cox regression analysis with overlap weighting as the primary analysis. RESULTS During the follow-up, 62 participants were diagnosed with diabetes. In the primary analysis with overlap weighting, there was no significant association between new MH and diabetes (HR: 1.12; 95% CI: 0.45-2.78, p = 0.803); conversely, based on the MH definition from MetS, the participants with MH were less likely to have had diabetes than the participants with MUHs (HR: 0.41; 95% CI: 0.22-0.78, p = 0.007). Furthermore, other analysis methods also confirmed the reproducibility of abovementioned results. In addition, sensitivity analysis excluding participants with prediabetes also demonstrated similar results with the primary analysis. CONCLUSION In contrast to the previous MH definition from MetS, the new MH definition was not a reliable predictor for future diabetes in the nonobese Chinese population.
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Affiliation(s)
- Liying Li
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Ziqiong Wang
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Haiyan Ruan
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China; Department of Cardiology, Traditional Chinese Medicine Hospital of Shuangliu District, Chengdu, China
| | - Muxin Zhang
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China; Department of Cardiology, First People's Hospital, Longquanyi District, Chengdu, China
| | - Linxia Zhou
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China; Department of Cardiology, Traditional Chinese Medicine Hospital of Shuangliu District, Chengdu, China
| | - Xin Wei
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China; Department of Cardiology and National Clinical Research Center for Geriatrics, West China Hospital of Sichuan University, Chengdu, China
| | - Ye Zhu
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Jiafu Wei
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Xiaoping Chen
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Sen He
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China.
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Bouchi R, Sugiyama T, Goto A, Imai K, Ihana‐Sugiyama N, Ohsugi M, Yamauchi T, Kadowaki T, Ueki K. Retrospective nationwide study on the trends in first-line antidiabetic medication for patients with type 2 diabetes in Japan. J Diabetes Investig 2022; 13:280-291. [PMID: 34309213 PMCID: PMC8847136 DOI: 10.1111/jdi.13636] [Citation(s) in RCA: 44] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/24/2021] [Accepted: 07/22/2021] [Indexed: 12/19/2022] Open
Abstract
AIMS/INTRODUCTION To investigate the national trend in the prescription of first-line non-insulin antidiabetic agents and total medical costs (TMCs) after prescribing the drug in Japanese patients with type 2 diabetes. MATERIALS AND METHODS Using the National Database of Health Insurance Claims and Specific Health Check-ups of Japan covering almost the entire Japanese population, we calculated the proportion of each antidiabetic drug from 2014 to 2017, and determined the factors associated with drug selection. The TMCs in the first year after starting the drugs were calculated, and factors associated with the costs were also determined. RESULTS Among 1,136,723 new users of antidiabetic agents, dipeptidyl peptidase-4 inhibitors were the most prescribed (65.1%), followed by biguanides (15.9%) and sodium-glucose cotransporter 2 inhibitors (7.6%). Sodium-glucose cotransporter 2 inhibitor and biguanide use increased during 2014-2017 (2.2%-11.4% and 13.7%-17.2%, respectively), whereas the others decreased. Biguanides were not prescribed at all in 38.2% of non-Japan Diabetes Society-certified facilities. The TMCs were the lowest among those who started with biguanides. Fiscal year, age, sex, facility, number of beds and comorbidities were associated with drug choice and TMCs. There were wide regional variations in the drug choice, but not in the TMCs. CONCLUSIONS Unlike in the USA and Europe, dipeptidyl peptidase-4 inhibitor is the most prescribed first-line medication for type 2 diabetes patients in Japan, while there is a wide variation in the drug choice by facility-type and prefecture.
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Affiliation(s)
- Ryotaro Bouchi
- Department of Diabetes, Endocrinology and MetabolismNational Center for Global Health and MedicineTokyoJapan
- Diabetes and Metabolism Information CenterNational Center for Global Health and MedicineTokyoJapan
| | - Takehiro Sugiyama
- Diabetes and Metabolism Information CenterNational Center for Global Health and MedicineTokyoJapan
- Department of Health Services ResearchFaculty of MedicineUniversity of TsukubaIbarakiJapan
| | - Atsushi Goto
- Department of Health Data ScienceGraduate School of Data ScienceYokohama City UniversityYokohamaJapan
| | - Kenjiro Imai
- Diabetes and Metabolism Information CenterNational Center for Global Health and MedicineTokyoJapan
| | - Noriko Ihana‐Sugiyama
- Department of Diabetes, Endocrinology and MetabolismNational Center for Global Health and MedicineTokyoJapan
- Diabetes and Metabolism Information CenterNational Center for Global Health and MedicineTokyoJapan
| | - Mitsuru Ohsugi
- Department of Diabetes, Endocrinology and MetabolismNational Center for Global Health and MedicineTokyoJapan
- Diabetes and Metabolism Information CenterNational Center for Global Health and MedicineTokyoJapan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic DiseasesGraduate School of MedicineThe University of TokyoTokyoJapan
| | | | - Kohjiro Ueki
- Department of Diabetes, Endocrinology and MetabolismNational Center for Global Health and MedicineTokyoJapan
- Diabetes Research CenterNational Center for Global Health and MedicineTokyoJapan
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22
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Weijdijk LPM, Ziukaite L, Van der Weijden GA(F, Bakker EWP, Slot DE. The risk of tooth loss in patients with diabetes: A systematic review and meta-analysis. Int J Dent Hyg 2022; 20:145-166. [PMID: 33973353 PMCID: PMC9291053 DOI: 10.1111/idh.12512] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 04/09/2021] [Accepted: 05/05/2021] [Indexed: 01/02/2023]
Abstract
AIM The aim of this systematic review was to comprehensively and critically summarize and synthesize the risk of losing teeth among with diabetes mellitus (DM) compared to those without DM, as established in observational studies. MATERIALS AND METHODS MEDLINE-PubMed and Cochrane databases were searched through a period from their inception through October 2020 to identify eligible studies. Papers that primarily evaluate the number of teeth in DM patients compared to non-DM individuals were included. A descriptive analysis of the selected studies was conducted, and when feasible, a meta-analysis was performed. The quality of the studies was assessed. RESULTS A total of 1087 references were generated, and screening of the papers resulted in 10 eligible publications. A descriptive analysis demonstrated that six of these studies indicate a significantly higher risk of tooth loss in DM patients. This was confirmed by the meta-analysis risk ratio of 1.63 95% CI (1.33; 2.00, p < 0.00001). Subgroup analysis illustrates that this is irrespective of the risk-of-bias assessment. The higher risk of tooth loss in DM patients was also higher when only DM type II patients or studies with a cross-sectional design were considered. Patients with a poor DM control status presented a significantly increased risk of tooth loss. When the data were separated by the world continent where the study was performed, Asia and South America had numerically higher risks and a 95% CI that did not overlap with Europe and North America. CONCLUSION There is moderate certainty for a small but significantly higher risk of tooth loss in DM patients as compared to those without DM.
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Affiliation(s)
- Lotte P. M. Weijdijk
- Department of Oral and Maxillofacial SurgeryAmsterdam UMC and Academic Center for Dentistry Amsterdam (ACTA)ACTA is a joint venture between the Faculty of Dentistry of the University of Amsterdam and the Faculty of Dentistry of the Vrije Universiteit AmsterdamAmsterdamThe Netherlands
- Clinic for DentistryDental Care Utrecht (DCU)UtrechtThe Netherlands
- Department of PeriodontologyAcademic Center for Dentistry Amsterdam (ACTA)ACTA is a joint venture between the Faculty of Dentistry of the University of Amsterdam and the Faculty of Dentistry of the Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Laura Ziukaite
- Department of PeriodontologyAcademic Center for Dentistry Amsterdam (ACTA)ACTA is a joint venture between the Faculty of Dentistry of the University of Amsterdam and the Faculty of Dentistry of the Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - G. A. (Fridus) Van der Weijden
- Department of PeriodontologyAcademic Center for Dentistry Amsterdam (ACTA)ACTA is a joint venture between the Faculty of Dentistry of the University of Amsterdam and the Faculty of Dentistry of the Vrije Universiteit AmsterdamAmsterdamThe Netherlands
| | - Eric W. P. Bakker
- Division Clinical Methods and Public Health Amsterdam UMCUniversity of AmsterdamAmsterdamThe Netherlands
| | - Dagmar Else Slot
- Department of PeriodontologyAcademic Center for Dentistry Amsterdam (ACTA)ACTA is a joint venture between the Faculty of Dentistry of the University of Amsterdam and the Faculty of Dentistry of the Vrije Universiteit AmsterdamAmsterdamThe Netherlands
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23
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Sakaue T, Obata Y, Fujishima Y, Kozawa J, Otsuki M, Yamamoto T, Maeda N, Nishizawa H, Shimomura I. A Japanese patient with a 2p25.3 terminal deletion presented with early-onset obesity, intellectual disability and diabetes mellitus: A case report. J Diabetes Investig 2022; 13:391-396. [PMID: 34382350 PMCID: PMC8847130 DOI: 10.1111/jdi.13645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/04/2021] [Accepted: 08/06/2021] [Indexed: 11/28/2022] Open
Abstract
2p25.3 deletion syndrome is a rare genetic disorder that accompanies various phenotypic features, including early-onset obesity and intellectual disability. Here, we report the first Japanese case of this deletion associated with severe obesity and diabetes mellitus. Microarray-based comparative genomic hybridization analysis identified a 3.1-Mb deletion of distal chromosome band 2p25.3, which was suspected as de novo. The patient also presented bilateral cataracts and adolescent-onset muscular weakness of the upper limbs, both of which were uncommon in previously reported cases. It is possible that these symptoms are also important clinical features suggestive of this syndrome.
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Affiliation(s)
- Taka‐aki Sakaue
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
| | - Yoshinari Obata
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
| | - Yuya Fujishima
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
| | - Junji Kozawa
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
- Department of Diabetes Care MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
| | - Michio Otsuki
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
| | | | - Norikazu Maeda
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
- Department of Metabolism and AtherosclerosisGraduate School of Medicine Osaka UniversityOsakaJapan
| | - Hitoshi Nishizawa
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
| | - Iichiro Shimomura
- Department of Metabolic MedicineGraduate School of MedicineOsaka UniversityOsakaJapan
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24
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Song DK, Hong YS, Sung YA, Lee H. Association of serum creatinine levels and risk of type 2 diabetes mellitus in Korea: a case control study. BMC Endocr Disord 2022; 22:4. [PMID: 34983489 PMCID: PMC8725385 DOI: 10.1186/s12902-021-00915-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 11/30/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Reduced skeletal muscle has been suggested as a potential risk factor for type 2 diabetes mellitus (T2DM). Serum creatinine is the primary metabolite of creatine in skeletal muscle. Therefore, low serum creatinine levels may be associated with an increased risk of T2DM. We aimed to evaluate the association between serum creatinine levels and the risk of T2DM in Korea. METHODS We analyzed a total of 264,832 nondiabetic adults older than 40 years of age who had undergone a national health examination at least once from 2009 to 2015 in the Korean National Health Insurance Service Cohort. Hazard ratios for T2DM were calculated. RESULTS In men, serum creatinine levels and the risk for T2DM showed an inverse J-shaped association. This association was confirmed after adjustment for age, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), and fasting plasma glucose. In women, there was a trend that serum creatinine levels were inversely associated with the risk of T2DM among those with serum creatinine below 1.1 mg/dl. However, serum creatinine levels were not significantly associated with the risk of T2DM after adjustment for age, BMI, SBP, DBP, and fasting plasma glucose. CONCLUSIONS Reduced levels of serum creatinine were significantly associated with an increased risk of T2DM in men with creatinine below 1.20 mg/dl. There was a trend that decreased levels of serum creatinine were associated with an increased risk of T2DM among women with serum creatinine below 1.1 mg/dl, although this result was not statistically significant.
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Affiliation(s)
- Do Kyeong Song
- Department of Internal Medicine, Ewha Womans University School of Medicine, 25 Magokdong-ro 2-gil, Gangseo-gu, Seoul, 07804, South Korea
| | - Young Sun Hong
- Department of Internal Medicine, Ewha Womans University School of Medicine, 25 Magokdong-ro 2-gil, Gangseo-gu, Seoul, 07804, South Korea
| | - Yeon-Ah Sung
- Department of Internal Medicine, Ewha Womans University School of Medicine, 25 Magokdong-ro 2-gil, Gangseo-gu, Seoul, 07804, South Korea
| | - Hyejin Lee
- Department of Internal Medicine, Ewha Womans University School of Medicine, 25 Magokdong-ro 2-gil, Gangseo-gu, Seoul, 07804, South Korea.
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25
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Yoshikawa M, Asaba K, Nakayama T. Estimating causal effects of genetically predicted type 2 diabetes on COVID-19 in the East Asian population. Front Endocrinol (Lausanne) 2022; 13:1014882. [PMID: 36568068 PMCID: PMC9767950 DOI: 10.3389/fendo.2022.1014882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 11/15/2022] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Observational studies suggested that type 2 diabetes mellitus (T2DM) was associated with an increased risk of coronavirus disease 2019 (COVID-19). However, Mendelian randomization (MR) studies in the European population failed to find causal associations, partly because T2DM was pleiotropically associated with body mass index (BMI). We aimed to estimate the causal effects of T2DM on COVID-19 outcomes in the East Asian (EAS) population using a two-sample MR approach. METHODS We obtained summary statistics from a genome-wide association study (GWAS) that included 433,540 EAS participants as the exposure dataset for T2DM risk and from COVID-19 Host Genetics Initiative GWAS meta-analyses (round 7) of EAS ancestry as the outcome dataset for COVID-19 susceptibility (4,459 cases and 36,121 controls), hospitalization (2,882 cases and 31,200 controls), and severity (794 cases and 4,862 controls). As the main MR analysis, we performed the inverse variance weighted (IVW) method. Moreover, we conducted a series of sensitivity analyses, including IVW multivariable MR using summary statistics for BMI from a GWAS with 158,284 Japanese individuals as a covariate. RESULTS The IVW method showed that the risk of T2DM significantly increased the risk of COVID-19 susceptibility (odds ratio [OR] per log (OR) increase in T2DM, 1.11; 95% confidence interval [CI], 1.02-1.20; P = 0.014) and hospitalization (OR, 1.15; 95% CI, 1.04-1.26; P = 0.005), although the risk of severity was only suggestive. Moreover, IVW multivariable MR analysis indicated that the causal effects of T2DM on COVID-19 outcomes were independent of the effect of BMI. CONCLUSIONS Our MR study indicated for the first time that genetically predicted T2DM is a risk factor for SARS-CoV-2 infection and hospitalized COVID-19 independent of obesity in the EAS population.
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Affiliation(s)
- Masahiro Yoshikawa
- Division of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, Tokyo, Japan
- Technology Development of Disease Proteomics Division, Department of Pathology and Microbiology, Nihon University School of Medicine, Tokyo, Japan
- *Correspondence: Masahiro Yoshikawa,
| | - Kensuke Asaba
- Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Tokyo, Japan
| | - Tomohiro Nakayama
- Division of Laboratory Medicine, Department of Pathology and Microbiology, Nihon University School of Medicine, Tokyo, Japan
- Technology Development of Disease Proteomics Division, Department of Pathology and Microbiology, Nihon University School of Medicine, Tokyo, Japan
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26
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Association between antibiotics use and diabetes incidence in a nationally representative retrospective cohort among Koreans. Sci Rep 2021; 11:21681. [PMID: 34737360 PMCID: PMC8568925 DOI: 10.1038/s41598-021-01125-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 10/15/2021] [Indexed: 12/16/2022] Open
Abstract
Numerous studies have reported that antibiotics could lead to diabetes, even after adjusting for confounding variables. This study aimed to determine the causal relationship between antibiotics use and diabetes in a nationally representative cohort. This retrospective cohort study included adults aged 40 years or older who were enrolled in the Korean National Health Insurance Service-Health Screening Cohort. Antibiotic exposure was assessed from 2002 to 2005 and newly diagnosed diabetes mellitus was determined based on diagnostic codes and history of antidiabetic medication use from 2006 to 2015. Multivariate Cox proportional hazards model was used to assess the association between antibiotic use and diabetes incidence. The mean age of the 201,459 study subjects was 53.2 years. People who used antibiotics for 90 or more days had a higher risk of diabetes (adjusted hazard ratio [aHR] 1.16, 95% confidence interval [CI] 1.07–1.26) compared to non-users. Those who used five or more classes of antibiotics had a higher risk of diabetes than those who used one antibiotic class (aHR 1.14; 95% CI 1.06–1.23). The clear dose-dependent association between antibiotics and diabetes incidence supports the judicious use of antibiotics in the future.
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27
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Chen Y, Kassam I, Lau SH, Kooner JS, Wilson R, Peters A, Winkelmann J, Chambers JC, Chow VT, Khor CC, van Dam RM, Teo YY, Loh M, Sim X. Impact of BMI and waist circumference on epigenome-wide DNA methylation and identification of epigenetic biomarkers in blood: an EWAS in multi-ethnic Asian individuals. Clin Epigenetics 2021; 13:195. [PMID: 34670603 PMCID: PMC8527674 DOI: 10.1186/s13148-021-01162-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 08/29/2021] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The prevalence of obesity and its related chronic diseases have been increasing especially in Asian countries. Obesity-related genetic variants have been identified, but these explain little of the variation in BMI. Recent studies reported associations between DNA methylation and obesity, mostly in non-Asian populations. METHODS We performed an epigenome-wide association study (EWAS) on general adiposity (body mass index, BMI) and abdominal adiposity (waist circumference, WC) in 409 multi-ethnic Asian individuals and replicated BMI and waist-associated DNA methylation CpGs identified in other populations. The cross-lagged panel model and Mendelian randomization were used to assess the temporal relationship between methylation and BMI. The temporal relationship between the identified CpGs and inflammation and metabolic markers was also examined. RESULTS EWAS identified 116 DNA methylation CpGs independently associated with BMI and eight independently associated with WC at false discovery rate PFDR < 0.05 in 409 Asian samples. We replicated 110 BMI-associated CpGs previously reported in Europeans and identified six novel BMI-associated CpGs and two novel WC-associated CpGs. We observed high consistency in association direction of effect compared to studies in other populations. Causal relationship analyses indicated that BMI was more likely to be the cause of DNA methylation alteration, rather than the consequence. The causal analyses using BMI-associated methylation risk score also suggested that higher levels of the inflammation marker IL-6 were likely the consequence of methylation change. CONCLUSION Our study provides evidence of an association between obesity and DNA methylation in multi-ethnic Asians and suggests that obesity can drive methylation change. The results also suggested possible causal influence that obesity-related methylation changes might have on inflammation and lipoprotein levels.
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Affiliation(s)
- Yuqing Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Tahir Foundation Building, Singapore, 117549, Singapore
| | - Irfahan Kassam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Tahir Foundation Building, Singapore, 117549, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Suk Hiang Lau
- Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Rory Wilson
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Bavaria, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
- Institute of Human Genetics, Technical University of Munich, Klinikum rechts der Isar, Munich, Germany
- Lehrstuhl Für Neurogenetik, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology, Munich, Germany
| | - John C Chambers
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Level 18, Lee Kong Chian Clinical Science Building, Singapore, 308232, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Vincent T Chow
- National University Health System Infectious Diseases Translational Research Program, Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Tahir Foundation Building, Singapore, 117549, Singapore
- Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yik-Ying Teo
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Tahir Foundation Building, Singapore, 117549, Singapore
- Life Sciences Institute, National University of Singapore, Singapore, Singapore
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Level 18, Lee Kong Chian Clinical Science Building, Singapore, 308232, Singapore.
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
- National Skin Centre, Singapore, Singapore.
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, Tahir Foundation Building, Singapore, 117549, Singapore.
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28
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Feng W, Wang W, Meng R, Wu G, Zhang M, Zhang X, Yin H, Zhu D. Lixisenatide is effective and safe as add-on treatment to basal insulin in Asian individuals with type 2 diabetes and different body mass indices: a pooled analysis of data from the GetGoal Studies. BMJ Open Diabetes Res Care 2021; 9:9/1/e002290. [PMID: 34452904 PMCID: PMC8404431 DOI: 10.1136/bmjdrc-2021-002290] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 07/17/2021] [Indexed: 11/10/2022] Open
Abstract
INTRODUCTION This analysis aims to investigate the efficacy and safety of once-daily lixisenatide add-on treatment to basal insulin in Asian individuals with type 2 diabetes, by baseline body mass index (BMI). RESEARCH DESIGN AND METHODS Data from all Asian participants in the placebo-controlled GetGoal-Duo 1, GetGoal-L, and GetGoal-L-C Studies were pooled and categorized according to the following BMI subgroups:<25 kg/m2, 25-<30 kg/m2 and ≥30 kg/m2. Efficacy and safety of lixisenatide versus placebo were evaluated among BMI subgroups. Multivariable regression analyses were also conducted to explore the potential influence of BMI on efficacy outcomes after adjusting for baseline characteristics. RESULTS 555 participants were included (mean age 53.9 years, 52.4% men). No significant differences in treatment effect between the BMI subgroups were observed for the changes from baseline to 24 weeks in glycated hemoglobin (HbA1c), fasting plasma glucose, postprandial glucose (PPG), PPG excursion, body weight, BMI, and basal insulin dose with lixisenatide, as well as the change in basal insulin dose at study endpoint and the proportion of participants achieving an HbA1c <7% at 24 weeks (all p values for interaction >0.15). In the multivariable regression analysis, participants in the lowest BMI group had a smaller reduction in body weight over the 24-week treatment period relative to the highest BMI group (p=0.023). CONCLUSIONS This post hoc analysis indicates that lixisenatide improved glycemic control regardless of baseline BMI and was well tolerated in Asian individuals unable to achieve their HbA1c target on basal insulin±oral antidiabetic drugs.
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Affiliation(s)
- Wenhuan Feng
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
| | - Weimin Wang
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
| | - Ran Meng
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
| | - Guangyu Wu
- Department of Medical Affair, Sanofi, Shanghai, China
| | - Minlu Zhang
- Department of Medical Affair, Sanofi, Shanghai, China
| | - Xia Zhang
- Department of Medical Affair, Sanofi, Shanghai, China
| | - Huiqiu Yin
- Department of Medical Affair, Sanofi, Shanghai, China
| | - Dalong Zhu
- Department of Endocrinology, Drum Tower Hospital Affiliated to Nanjing University Medical School, Nanjing, China
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29
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Weng J, Zeng L, Zhang Y, Qu S, Wang X, Li P, Fu L, Ma B, Ye S, Sun J, Lu W, Liu Z, Chen D, Cheng Z, Liu H, Zhang T, Zou J. Henagliflozin as add-on therapy to metformin in patients with type 2 diabetes inadequately controlled with metformin: A multicentre, randomized, double-blind, placebo-controlled, phase 3 trial. Diabetes Obes Metab 2021; 23:1754-1764. [PMID: 33769656 DOI: 10.1111/dom.14389] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 03/01/2021] [Accepted: 03/19/2021] [Indexed: 12/24/2022]
Abstract
AIM To evaluate the efficacy and safety of henagliflozin in patients with type 2 diabetes mellitus (T2DM) inadequately controlled with metformin. MATERIAL AND METHODS This multicentre phase 3 trial included a 24-week randomized, double-blind, placebo-controlled period, followed by a 28-week extension period. Patients with a glycated haemoglobin (HbA1c) level of 7.0% (53 mmol/mol) to 10.5% (91 mmol/mol) were randomized and treated with once-daily placebo (n = 161), henagliflozin 5 mg (n = 162), or henagliflozin 10 mg (n = 160). After 24 weeks, patients on placebo were switched to 5 mg or 10 mg henagliflozin for the additional 28-week treatment, and patients on henagliflozin during 24-week treatment period maintained this initial therapy. The primary endpoint was change in HbA1c from baseline to Week 24. RESULTS At Week 24, the least squares mean HbA1c changes versus placebo from baseline were - 0.76% (-8.3 mmol/mol) and - 0.80% (-8.7 mmol/mol) for henagliflozin 5 and 10 mg, respectively (all P < 0.0001). Compared with the placebo group, both doses of henagliflozin lowered fasting plasma glucose, 2-hour postprandial plasma glucose, body weight and blood pressure, and increased the proportions of patients achieving HbA1c <7.0% (53 mmol/mol) at Week 24. The trends in these improvements were sustained over an additional 28 weeks. Slightly higher proportions of ketosis and presence of urine ketone bodies were observed in patients treated with henagliflozin compared to placebo at Week 24. No diabetic ketoacidosis or episodes of severe hypoglycaemia were reported. CONCLUSIONS Henagliflozin 5 mg or 10 mg as add-on therapy to metformin provided a new therapeutic option for the treatment of T2DM patients who have inadequate glycaemic control with metformin alone, and was generally well tolerated.
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Affiliation(s)
- Jianping Weng
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Longyi Zeng
- Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yuwei Zhang
- Huaxi Hospital of Sichuan University, Chengdu, China
| | - Shen Qu
- Shanghai 10th People's Hospital, Shanghai, China
| | | | - Ping Li
- Yuncheng Central Hospital, Taiyuan, China
| | - Liujun Fu
- First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Boqing Ma
- Hebei General Hospital, Shijiazhuang, China
| | - Shandong Ye
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Jiao Sun
- Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Weiping Lu
- First Affiliated Huai'an Hospital of Nanjing Medical University, Huai'an, China
| | - Zhiwen Liu
- Shanghai Xuhui District Central Hospital, Shanghai, China
| | | | - Zhifeng Cheng
- Fourth Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Haiyan Liu
- Jiangsu Hengrui Medicine Co., Ltd, Shanghai, China
| | - Tao Zhang
- Jiangsu Hengrui Medicine Co., Ltd, Shanghai, China
| | - Jianjun Zou
- Jiangsu Hengrui Medicine Co., Ltd, Shanghai, China
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Assessment of Potential Risk Factors and Skin Ultrasound Presentation Associated with Breast Cancer-Related Lymphedema in Long-Term Breast Cancer Survivors. Diagnostics (Basel) 2021; 11:diagnostics11081303. [PMID: 34441238 PMCID: PMC8393908 DOI: 10.3390/diagnostics11081303] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 06/10/2021] [Accepted: 06/21/2021] [Indexed: 12/31/2022] Open
Abstract
Breast cancer has been reported to have the highest survival rate among various cancers. However, breast cancer survivors face several challenges following breast cancer treatment including breast cancer-related lymphedema (BCRL), sexual dysfunction, and psychological distress. This study aimed to investigate the potential risk factors of BCRL in long term breast cancer survivors. A total of 160 female breast cancer subjects were recruited on a voluntary basis and arm lymphedema was assessed through self-reporting of diagnosis, arm circumference measurement, and ultrasound examination. A total of 33/160 or 20.5% of the women developed BCRL with significantly higher scores for upper extremity disability (37.14 ± 18.90 vs. 20.08 ± 15.29, p < 0.001) and a lower score for quality of life (103.91 ± 21.80 vs. 115.49 ± 16.80, p = 0.009) as compared to non-lymphedema cases. Univariate analysis revealed that multiple surgeries (OR = 5.70, 95% CI: 1.21–26.8, p < 0.001), axillary lymph nodes excision (>10) (OR = 2.83, 95% CI: 0.94–8.11, p = 0.047), being overweight (≥25 kg/m2) (OR = 2.57, 95% CI: 1.04 – 6.38, p = 0.036), received fewer post-surgery rehabilitation treatment (OR = 2.37, 95% CI: 1.05–5.39, p = 0.036) and hypertension (OR = 2.38, 95% CI: 1.01–5.62, p = 0.043) were associated with an increased risk of BCRL. Meanwhile, multivariate analysis showed that multiple surgeries remained significant and elevated the likelihood of BCRL (OR = 5.83, 95% CI: 1.14–29.78, p = 0.034). Arm swelling was more prominent in the forearm area demonstrated by the highest difference of arm circumference measurement when compared to the upper arm (2.07 ± 2.48 vs. 1.34 ± 1.91 cm, p < 0.001). The total of skinfold thickness of the affected forearm was also significantly higher than the unaffected arms (p < 0.05) as evidenced by the ultrasound examination. The continuous search for risk factors in specific populations may facilitate the development of a standardized method to reduce the occurrence of BCRL and provide better management for breast cancer patients.
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31
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Wang Z, Liu Z, He S. Fasting plasma glucose and risk of type 2 diabetes mellitus in a group of Chinese people with normoglycemia and without obesity. J Diabetes 2021; 13:601-602. [PMID: 33728817 DOI: 10.1111/1753-0407.13180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Accepted: 03/12/2021] [Indexed: 02/05/2023] Open
Affiliation(s)
- Ziqiong Wang
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
| | - Zheng Liu
- Nursing Department, West China School of Nursing, West China Hospital of Sichuan University, Chengdu, China
| | - Sen He
- Department of Cardiology, West China Hospital of Sichuan University, Chengdu, China
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32
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James WPT. A Dissenter's Journey. Annu Rev Nutr 2021; 41:1-18. [PMID: 34115517 DOI: 10.1146/annurev-nutr-101220-114101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
After I studied medicine, my career took an early and unusual course when I was offered a clinical research post in Jamaica dealing with childhood malnutrition, of which I knew nothing. My subsequent nutritional explorations allowed gastrointestinal and metabolic analyses to have an impact on several public health policies. The biggest challenges came from unexpected political demands: coping with poor school performers in the Caribbean; addressing UK public health initiatives in health education; breaking the siege of Sarajevo; developing a Food Standards Agency as a sudden need for Tony Blair as incoming prime minister; dealing with widespread bovine spongiform encephalopathy in Europe; and responding to a United Nations request to assess global malnutrition. This last task revealed the need for a lifelong approach to nutrition, which also encompassed pregnancy. But perhaps the biggest challenge was establishing the criteria for obesity assessment, management, and prevention for policy makers across the globe. Expected final online publication date for the Annual Review of Nutrition, Volume 41 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- W Philip T James
- Department of Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom;
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33
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Lu J, Fu L, Li Y, Geng J, Qin L, Li P, Zheng H, Sun Z, Li Y, Zhang L, Sun Y, Chen D, Qin G, Lu W, Guo Y, Zhang Y, Liu H, Zhang T, Zou J. Henagliflozin monotherapy in patients with type 2 diabetes inadequately controlled on diet and exercise: A randomized, double-blind, placebo-controlled, phase 3 trial. Diabetes Obes Metab 2021; 23:1111-1120. [PMID: 33417292 DOI: 10.1111/dom.14314] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 12/23/2020] [Accepted: 01/04/2021] [Indexed: 02/05/2023]
Abstract
AIM To evaluate henagliflozin, a novel sodium-glucose co-transporter-2 inhibitor, as monotherapy in patients with type 2 diabetes and inadequate glycaemic control with diet and exercise. MATERIALS AND METHODS This multicentre trial included a 24-week, randomized, double-blind, placebo-controlled period, followed by a 28-week extension period. Four hundred and sixty-eight patients with an HbA1c of 7.0%-10.5% were randomly assigned (1:1:1) to receive once-daily placebo, or 5 or 10 mg henagliflozin. After 24 weeks, patients on placebo were switched to 5 or 10 mg henagliflozin, and patients on henagliflozin maintained the initial therapy. The primary endpoint was the change in HbA1c from baseline after 24 weeks. RESULTS At Week 24, the placebo-adjusted least squares (LS) mean changes from baseline in HbA1c were -0.91% (95% CI: -1.11% to -0.72%; P < .001) and -0.94% (-1.13% to -0.75%; P < .001) with henagliflozin 5 and 10 mg, respectively; the placebo-adjusted LS mean changes were -1.3 (-1.8 to -0.9) and -1.5 (-2.0 to -1.1) kg in body weight, and -5.1 (-7.2 to -3.0) and -4.4 (-6.5 to -2.3) mmHg in systolic blood pressure (all P < .05). The trends of these improvements were sustained for an additional 28 weeks. Adverse events occurred in 81.0%, 78.9% and 78.9% of patients in the placebo, henagliflozin 5 and 10 mg groups, respectively. No diabetic ketoacidosis or major episodes of hypoglycaemia occurred. CONCLUSIONS Henagliflozin 5 mg and 10 mg as monotherapy provided effective glycaemic control, reduced body weight and blood pressure, and was generally well tolerated.
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Affiliation(s)
- Juming Lu
- Department of Endocrinology, Chinese PLA General Hospital, Beijing, China
| | - Liujun Fu
- Department of Endocrinology, The First Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | - Yan Li
- Department of Endocrinology, Chongqing Sanxia Central Hospital, Chongqing, China
| | - Jianlin Geng
- Department of Endocrinology, Harrison International Peace Hospital, Hengshui, China
| | - Li Qin
- Department of Endocrinology, Xinhua (Chongming) Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ping Li
- Department of Endocrinology, Yuncheng Central Hospital, Yuncheng, China
| | - Hailong Zheng
- Department of Endocrinology, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital Affiliated to Southeast University, Nanjing, China
| | - Yanbing Li
- Department of Endocrinology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Lihui Zhang
- Department of Endocrinology, The Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yadong Sun
- Department of Endocrinology, Jilin Province People's Hospital, Changchun, China
| | - Daoxiong Chen
- Department of Endocrinology, Hainan General Hospital, Haikou, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weiping Lu
- Department of Endocrinology, The First Affiliated Huai'an Hospital of Nanjing Medical University, Huai'an, China
| | - Yushan Guo
- Department of Endocrinology, The Affiliated Hospital of Beihua University, Jilin, China
| | - Yuwei Zhang
- Department of Endocrinology, West China Hospital of Sichuan University, Chengdu, China
| | - Haiyan Liu
- Jiangsu Hengrui Medicine Co. Ltd, Shanghai, China
| | - Tao Zhang
- Jiangsu Hengrui Medicine Co. Ltd, Shanghai, China
| | - Jianjun Zou
- Jiangsu Hengrui Medicine Co. Ltd, Shanghai, China
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34
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Park JM, Lee HS, Park JY, Jung DH, Lee JW. White Blood Cell Count as a Predictor of Incident Type 2 Diabetes Mellitus Among Non-Obese Adults: A Longitudinal 10-Year Analysis of the Korean Genome and Epidemiology Study. J Inflamm Res 2021; 14:1235-1242. [PMID: 33833545 PMCID: PMC8021258 DOI: 10.2147/jir.s300026] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 03/16/2021] [Indexed: 12/24/2022] Open
Abstract
Purpose Limited evidence is available on whether the white blood cell (WBC) count is a predictor of type 2 diabetes mellitus (T2DM) in non-obese individuals. This study aimed to determine whether WBC count could be used as an indicator for the prediction of incident T2DM among non-obese individuals using a large, community-based Korean cohort that was observed over 10 years. Patients and methods A total of 4211 non-obese adults without diabetes aged 40-69 years were selected from the Korean Genome and Epidemiology Study. The participants were divided into four groups according to WBC count quartiles. We prospectively assessed the hazard ratios (HRs) with 95% confidence intervals (CIs) for incident T2DM, based on the American Diabetes Association criteria, using multivariate Cox proportional hazards regression models over 10 years after the baseline survey. Results During the follow-up period, 592 (14.1%) participants had newly developed T2DM. The higher quartile of WBC count groups showed significantly higher cumulative T2DM incidence over 10 years after the baseline survey (log-rank test, P < 0.001). Compared with the HRs for individuals in the referent lowest quartile, the HR (95% CI) for incident T2DM in individuals in the highest quartile was 1.55 (1.10-2.18) after adjusting for confounding variables. Conclusion A higher WBC count predicts future incident T2DM among community-dwelling non-obese Korean adults. This study suggests that WBC count could facilitate the prediction of non-obese individuals susceptible to T2DM.
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Affiliation(s)
- Jae-Min Park
- Department of Family Medicine, Yonsei University College of Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea.,Department of Medicine, Graduate School of Medicine, Yonsei University, Seoul, Republic of Korea
| | - Hye Sun Lee
- Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ju-Young Park
- Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea
| | - Dong-Hyuk Jung
- Department of Family Medicine, Yonsei University College of Medicine, Yongin Severance Hospital, Gyeonggi-do, Republic of Korea
| | - Ji-Won Lee
- Department of Family Medicine, Yonsei University College of Medicine, Gangnam Severance Hospital, Seoul, Republic of Korea
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Kouda K, Fujita Y, Ohara K, Tachiki T, Tamaki J, Yura A, Moon JS, Kajita E, Uenishi K, Iki M. Associations between trunk-to-peripheral fat ratio and cardiometabolic risk factors in elderly Japanese men: baseline data from the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study. Environ Health Prev Med 2021; 26:35. [PMID: 33743595 PMCID: PMC7980554 DOI: 10.1186/s12199-021-00959-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2020] [Accepted: 03/11/2021] [Indexed: 12/02/2022] Open
Abstract
Background Body mass-independent parameters might be more appropriate for assessing cardiometabolic abnormalities than weight-dependent indices in Asians who have relatively high visceral adiposity but low body fat. Dual-energy X-ray absorptiometry (DXA)-measured trunk-to-peripheral fat ratio is one such body mass-independent index. However, there are no reports on relationships between DXA-measured regional fat ratio and cardiometabolic risk factors targeting elderly Asian men. Methods We analyzed cross-sectional data of 597 elderly men who participated in the baseline survey of the Fujiwara-kyo Osteoporosis Risk in Men (FORMEN) study, a community-based single-center prospective cohort study conducted in Japan. Whole-body fat and regional fat were measured with a DXA scanner. Trunk-to-appendicular fat ratio (TAR) was calculated as trunk fat divided by appendicular fat (sum of arm and leg fat), and trunk-to-leg fat ratio (TLR) as trunk fat divided by leg fat. Results Both TAR and TLR in the group of men who used ≥ 1 medication for hypertension, dyslipidemia, or diabetes (“user group”; N = 347) were significantly larger than those who did not use such medication (“non-user group”; N = 250) (P < 0.05). After adjusting for potential confounding factors including whole-body fat, both TAR and TLR were significantly associated with low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglyceride, fasting serum insulin, and the insulin resistance index in the non-user group and non-overweight men in the non-user group (N = 199). Conclusion The trunk-to-peripheral fat ratio was associated with cardiometabolic risk factors independently of whole-body fat mass. Parameters of the fat ratio may be useful for assessing cardiometabolic risk factors, particularly in underweight to normal-weight populations.
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Affiliation(s)
- Katsuyasu Kouda
- Department of Hygiene and Public Health, Kansai Medical University, 2-5-1 Shin-machi, Hirakata, Osaka, 573-1010, Japan.
| | - Yuki Fujita
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
| | - Kumiko Ohara
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
| | - Takahiro Tachiki
- Chukyo Gakuin University Faculty of Nursing, 2216 Tokicho, Mizunami, Gifu, 509-6192, Japan
| | - Junko Tamaki
- Department of Hygiene and Public Health, Osaka Medical College, 2-7 Daigakumachi, Takatsuki, Osaka, 569-8686, Japan
| | - Akiko Yura
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
| | - Jong-Seong Moon
- Department of Nursing, Kio University, 4-2-2 Umami-naka, Koryo-cho, Nara, 635-0832, Japan
| | - Etsuko Kajita
- Chukyo Gakuin University Faculty of Nursing, 2216 Tokicho, Mizunami, Gifu, 509-6192, Japan
| | - Kazuhiro Uenishi
- Laboratory of Physiological Nutrition, Kagawa Nutrition University, 3-9-21 Chiyoda, Sakado, Saitama, 350-0288, Japan
| | - Masayuki Iki
- Department of Public Health, Kindai University Faculty of Medicine, 377-2 Oono-higashi, Osaka-Sayama, Osaka, 589-8511, Japan
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Matsumura T, Sankai T, Yamagishi K, Kubota Y, Hayama-Terada M, Muraki I, Umesawa M, Cui R, Imano H, Ohira T, Kitamura A, Okada T, Kiyama M, Iso H. Impact of Major Cardiovascular Risk Factors on the Incidence of Cardiovascular Disease among Overweight and Non-Overweight Individuals: The Circulatory Risk in Communities Study (CIRCS). J Atheroscler Thromb 2021; 29:422-437. [PMID: 33731540 PMCID: PMC8894112 DOI: 10.5551/jat.60103] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Aim:
We aimed to examine the impact of high-risk levels of cardiovascular risk factors on the incidence of cardiovascular disease (CVD) in overweight and non-overweight individuals without treatment for the risk factors.
Methods:
A total of 8,051 individuals aged 40–74 years without a history of CVD and/or without treatment for hypertension, diabetes, hyperlipidemia, and kidney disease at baseline in 1995–2000 were followed up for a median of 14.1 years. We classified the participants into three risk categories (low-, intermediate-, and high-risk groups) on the basis of individual risk factors (blood pressure, serum glucose, low-density lipoprotein cholesterol [LDL-C], and urinary protein) according to the guidelines of Japanese clinical societies. The high-risk group (systolic blood pressure ≥ 160 mmHg or diastolic blood pressure ≥ 100 mmHg, fasting serum glucose ≥ 130 mg/dL or non-fasting serum glucose ≥ 180 mg/dL, LDL-C ≥ 180 mg/dL, proteinuria ≥ 2+) needed to refer to physicians or start treatment immediately. Overweight was defined as a body mass index of ≥ 25 kg/m
2
.
Results:
Compared with those in the non-overweight low-risk group, the hazard ratios (HRs) (95% confidence intervals, population-attributable fractions [PAFs]) of CVD in the high-risk categories of blood pressure were 2.0 (1.4–2.9, 7.0%) in the non-overweight high-risk group and 2.9 (1.9–4.3, 6.8%) in the overweight high-risk group. The corresponding HRs (95% confidence intervals, PAFs) of serum glucose were 2.0 (1.2–3.4, 2.5%) and 2.2 (1.1–4.3, 1.5%) in the non-overweight and overweight high-risk groups, respectively. Such associations were not observed for the high-risk group of LDL-C and proteinuria.
Conclusions:
The present long-term observational study implies that targeting persons with non-treated severe hypertension and diabetes is prioritized to prevent CVD regardless of overweight status.
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Affiliation(s)
- Takumi Matsumura
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine.,Osaka Center for Cancer and Cardiovascular Disease Prevention
| | - Tomoko Sankai
- Department of Public Health and Nursing, Faculty of Medicine, University of Tsukuba
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.,Ibaraki Western Medical Center
| | - Yasuhiko Kubota
- Osaka Center for Cancer and Cardiovascular Disease Prevention
| | - Mina Hayama-Terada
- Osaka Center for Cancer and Cardiovascular Disease Prevention.,Yao City Public Health Center
| | - Isao Muraki
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine
| | - Mitsumasa Umesawa
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba.,School of Medicine, Dokkyo University
| | - Renzhe Cui
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine
| | - Hironori Imano
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine
| | - Tetsuya Ohira
- Department of Epidemiology, School of Medicine, Fukushima Medical University
| | - Akihiko Kitamura
- Research Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology
| | - Takeo Okada
- Osaka Center for Cancer and Cardiovascular Disease Prevention
| | - Masahiko Kiyama
- Osaka Center for Cancer and Cardiovascular Disease Prevention
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine.,Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba
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Hassan S, Oladele C, Galusha D, Adams OP, Maharaj RG, Nazario CM, Nunez M, Nunez-Smith M. Anthropometric measures of obesity and associated cardiovascular disease risk in the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study. BMC Public Health 2021; 21:399. [PMID: 33632164 PMCID: PMC7905572 DOI: 10.1186/s12889-021-10399-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 02/05/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Accurately defining obesity using anthropometric measures that best capture obesity-related risk is important for identifying high risk groups for intervention. The purpose of this study is to compare the association of different anthropometric measures of obesity with 10-year cardiovascular disease (CVD) risk in adults in the Eastern Caribbean. METHODS Data from the Eastern Caribbean Health Outcomes Research Network (ECHORN) Cohort Study (ECS) were analyzed. The ECS is comprised of adults aged 40 and older residing in the US Virgin Islands, Puerto Rico, Barbados, and Trinidad. 10-year CVD risk was calculated using the American Heart Association (ACC/AHA) ASCVD Risk Algorithm and categorized in the following high-risk groups: > 7.5, > 10, and > 20%. Logistic regression was used to examine associations between four anthropometric measures of obesity (BMI, waist circumference, waist-to-hip ratio, waist-to height ratio) and 10-year CVD risk. RESULTS Mean age (SD) of participants (n = 1617) was 56.6 years (±10.2), 64% were women, 74% were overweight/obese, and 24% had an ASCVD risk score above 10%. Elevated body mass index (BMI, > 30 kg/m2) and waist circumference were not associated with CVD risk. Elevated waist-to-hip ratio (WHR, > 0.9 men, > 0.85 women) and elevated waist-to-height ratio (> 0.5) were associated with all three categories of CVD risk. Area under the receiver curve was highest for WHR for each category of CVD risk. Elevated WHR demonstrated odds of 2.39, 2.58, and 3.32 (p < 0.0001) for CVD risk of > 7.5, > 10 and > 20% respectively. CONCLUSION Findings suggest that WHR is a better indicator than BMI of obesity-related CVD risk and should be used to target adults in the Caribbean, and of Caribbean-descent, for interventions.
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Affiliation(s)
- Saria Hassan
- Department of Medicine, Yale School of Medicine, 100 Church Street South, Suite A200, New Haven, CT, 06510, USA.
- Emory University School of Medicine, Emory Rollins School of Public Health, Atlanta, GA, 30319, USA.
| | - Carol Oladele
- Department of Medicine, Yale School of Medicine, 100 Church Street South, Suite A200, New Haven, CT, 06510, USA
| | - Deron Galusha
- Department of Medicine, Yale School of Medicine, 100 Church Street South, Suite A200, New Haven, CT, 06510, USA
| | | | - Rohan G Maharaj
- University of the West Indies, St. Augustine Campus, St. Augustine, Trinidad
| | - Cruz M Nazario
- Department of Biostatistics and Epidemiology, Graduate School of Public Health, University of Puerto Rico, Medical Sciences Campus, San Juan, Puerto Rico
| | - Maxine Nunez
- University of the Virgin Islands, School of Nursing, St. Thomas, US Virgin Islands
| | - Marcella Nunez-Smith
- Department of Medicine, Yale School of Medicine, 100 Church Street South, Suite A200, New Haven, CT, 06510, USA
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Adegoke O, Ozoh OB, Odeniyi IA, Bello BT, Akinkugbe AO, Ojo OO, Agabi OP, Okubadejo NU. Prevalence of obesity and an interrogation of the correlation between anthropometric indices and blood pressures in urban Lagos, Nigeria. Sci Rep 2021; 11:3522. [PMID: 33568712 PMCID: PMC7876118 DOI: 10.1038/s41598-021-83055-w] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Accepted: 01/28/2021] [Indexed: 01/30/2023] Open
Abstract
Adverse cardiovascular outcomes are linked to higher burden of obesity and hypertension. We conducted a secondary analysis of data for 5135 participants aged ≥ 16 years from our community-based hypertension prevalence study to determine the prevalence of obesity and association between multiple anthropometric indices and blood pressure (BP). The indices were waist circumference (WC), body mass index (BMI), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), a body shape index(ABSI), abdominal volume index (AVI), body adiposity index (BAI), body roundness index (BRI), visceral adiposity index (VAI) and conicity index (CI). We performed statistical analyses to determine the association, predictive ability, cutoff values and independent determinants of hypertension. Crude prevalence of obesity was 136 per 1000 (95% confidence interval 126-146). BMI had the strongest correlation with systolic and diastolic BP (rs = 0.260 and 0.264, respectively). Indices of central adiposity (AVI, WC, WHtR, BRI) were the strongest predictors of hypertension (≥ 140/90 mmHg), and their cut-off values were generally higher in females than males. WHR, age, BMI and CI were independent determinants of hypertension ≥ 140 mmHg (p < 0.05). We conclude that, based on this novel study, measures of central adiposity are the strongest predictors and independent determinants of hypertension in our population, and cut-off values vary from previously recommended standards.
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Affiliation(s)
- Oluseyi Adegoke
- grid.411782.90000 0004 1803 1817Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos State Nigeria ,grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
| | - Obianuju B. Ozoh
- grid.411782.90000 0004 1803 1817Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos State Nigeria ,grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
| | - Ifedayo A. Odeniyi
- grid.411782.90000 0004 1803 1817Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos State Nigeria ,grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
| | - Babawale T. Bello
- grid.411782.90000 0004 1803 1817Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos State Nigeria ,grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
| | - Ayesha O. Akinkugbe
- grid.411782.90000 0004 1803 1817Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos State Nigeria ,grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
| | - Oluwadamilola O. Ojo
- grid.411782.90000 0004 1803 1817Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos State Nigeria ,grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
| | - Osigwe P. Agabi
- grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
| | - Njideka U. Okubadejo
- grid.411782.90000 0004 1803 1817Department of Medicine, Faculty of Clinical Sciences, College of Medicine, University of Lagos, Idi Araba, Lagos State Nigeria ,grid.411283.d0000 0000 8668 7085Department of Medicine, Lagos University Teaching Hospital, Idi Araba, Lagos State Nigeria
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Khoo CM, Deerochanawong C, Chan SP, Matawaran B, Sheu WH, Chan J, Mithal A, Luk A, Suastika K, Yoon K, Ji L, Man NH, Pollock C. Use of sodium-glucose co-transporter-2 inhibitors in Asian patients with type 2 diabetes and kidney disease: An Asian perspective and expert recommendations. Diabetes Obes Metab 2021; 23:299-317. [PMID: 33155749 PMCID: PMC7839543 DOI: 10.1111/dom.14251] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 10/17/2020] [Accepted: 11/01/2020] [Indexed: 12/14/2022]
Abstract
Early onset of type 2 diabetes and a high prevalence of co-morbidities predispose the Asian population to a high risk for, and rapid progression of, diabetic kidney disease (DKD). Apart from renin-angiotensin system inhibitors, sodium-glucose co-transporter-2 (SGLT-2) inhibitors have been shown to delay renal disease progression in patients with DKD. In this review article, we consolidate the existing literature on SGLT-2 inhibitor use in Asian patients with DKD to establish contemporary guidance for clinicians. We extensively reviewed recommendations from international and regional guidelines, data from studies on Asian patients with DKD, global trials (DAPA-CKD, CREDENCE and DELIGHT) and cardiovascular outcomes trials. In patients with DKD, SGLT-2 inhibitor therapy significantly reduced albuminuria and the risk of hard renal outcomes (defined as the onset of end-stage kidney disease, substantial decline in renal function from baseline and renal death), cardiovascular outcomes and hospitalization for heart failure. In all the cardiovascular and renal outcomes trials, there was an initial decline in the estimated glomerular filtration rate (eGFR), which was followed by a slowing in the decline of renal function compared with that seen with placebo. Despite an attenuation in glucose-lowering efficacy in patients with low eGFR, there were sustained reductions in body weight and blood pressure, and an increase in haematocrit. Based on the available evidence, we conclude that SGLT-2 inhibitors represent an evidence-based therapeutic option for delaying the progression of renal disease in Asian patients with DKD and preserving renal function in patients at high risk of kidney disease.
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Affiliation(s)
| | | | - Siew Pheng Chan
- Department of MedicineUniversity of Malaya Medical CenterKuala LumpurMalaysia
| | - Bien Matawaran
- Department of Medicine, Section of Endocrinology, Diabetes and MetabolismUniversity of Santo Tomas HospitalManilaPhilippines
| | - Wayne Huey‐Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal MedicineTaichung Veterans General HospitalTaichungTaiwan
| | - Juliana Chan
- Department of Medicine and TherapeuticsHong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales HospitalHong Kong
| | | | - Andrea Luk
- Department of Medicine and TherapeuticsHong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales HospitalHong Kong
| | - Ketut Suastika
- Faculty of MedicineUdayana University, Sanglah General HospitalBaliIndonesia
| | - Kun‐Ho Yoon
- Department of Endocrinology & Metabolism, Seoul St Maryʼs HospitalThe Catholic University of KoreaSeoulSouth Korea
| | - Linong Ji
- Peking University Peopleʼs HospitalPekingChina
| | | | - Carol Pollock
- The University of Sydney School of MedicineSydneyNew South WalesAustralia
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Investigating Health-Related Features and Their Impact on the Prediction of Diabetes Using Machine Learning. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11031173] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Diabetes Mellitus (DM) is one of the most common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of its medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient with only a handful of features can allow cost-effective, rapid, and widely-available screening of diabetes, thereby lessening the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic patients and compare the role of HbA1c and FPG as input features. By using five different machine learning classifiers, and using feature elimination through feature permutation and hierarchical clustering, we established good performance for accuracy, precision, recall, and F1-score of the models on the dataset implying that our data or features are not bound to specific models. In addition, the consistent performance across all the evaluation metrics indicate that there was no trade-off or penalty among the evaluation metrics. Further analysis was performed on the data to identify the risk factors and their indirect impact on diabetes classification. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing analysis of the disease using selected features, important factors specific to the Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learned from this research.
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Analyzing Trio-Anthropometric Predictors of Hypertension: Determining the Susceptibility of Blood Pressure to Sexual Dimorphism in Body Stature. Int J Hypertens 2021; 2021:5129302. [PMID: 33532094 PMCID: PMC7837789 DOI: 10.1155/2021/5129302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2020] [Revised: 08/15/2020] [Accepted: 01/11/2021] [Indexed: 11/25/2022] Open
Abstract
Background Several studies had suggested that complex body stature could be a risk factor of hypertension. Objectives We aim to correlate body mass index (BMI), waist-hip ratio (WHR), and waist-height ratio (WHtR) of rural dwellers in Afikpo community, Ebonyi State, Nigeria, with blood pressure parameters. Furthermore, we aim to ascertain how each of the anthropometric variables affects blood pressure in men and women, respectively. Materials and Methods A sample of 400 (200 males and 200 females) adults aged 18–89 years were selected for the correlation cross-sectional study. Data for weight, height, waist, and hip circumferences were collected by means of anthropometric measurement protocol with the aid of a calibrated flexible tape and health scale and mercury sphygmomanometer for measurement of blood pressure. A participant was classified as being hypertensive if systolic blood pressure (SBP) was >140 mmHg and diastolic blood pressure (DBP) >90 mmHg. Pulse pressure was recorded as the numeric difference of SBP and DBP. Results The result revealed that male BMI and WHR were higher than those of females while female WHtR was higher than that of males (P < 0.01). The prevalence of hypertension failed to correlate with sex among participants in the study (χ2 = 0.567; P < 0.05). Variation in SBP and DBP of both sexes was dependent on BMI, WHtR, and waist and hip circumference, but not on WHR. The SBP of both sexes and female pulse pressure did correlate with age (P < 0.001). Waist circumference, BMI, and WHtR correctly predicted the variations in SBP, DBP, and pulse pressure. Conclusion The strength of association of BMI, WHtR, and waist girth with SBP and DBP of both sexes was robust and similar, but inconsistent with WHR. Thus, a simple estimation of the trio-anthropometric predictors could serve as a means for routine check or preliminary diagnosis of a patient with hypertension.
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Singleton MJ, German CA, Carnethon M, Soliman EZ, Bertoni AG, Yeboah J. Race, Body Mass Index, and the Risk of Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2020; 10:e018592. [PMID: 33382342 PMCID: PMC7955459 DOI: 10.1161/jaha.120.018592] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Background Higher body mass index (BMI) is associated with increased risk of incident atrial fibrillation (AF), but it is not known whether this relationship varies by race/ethnicity. Methods and Results Eligible participants (6739) from MESA (Multi‐Ethnic Study of Atherosclerosis) were surveilled for incident AF using MESA hospital surveillance, scheduled MESA study ECG, and Medicare claims data. After a median 13.8 years of follow‐up, 970 participants (14.4%) had incident AF. With BMI modeled categorically in a Cox proportional hazards model, only those with grade II and grade III obesity had increased risks of AF (hazard ratio [HR], 1.50; 95% CI, 1.14–1.98, P=0.004 for grade II obesity and HR, 2.13; 95% CI, 1.48–3.05, P<0.0001 for grade III obesity). The relationship between BMI and AF risk was J‐shaped. However, the risk of AF as a function of BMI varied substantially by race/ethnicity (P value for interaction=0.02), with Chinese‐American participants having a much higher risk of AF with higher BMI and Black participants having minimal increased risk of AF with higher BMI. Conclusions Obesity is associated with an increased risk of incident AF, but the relationship between BMI and the risk of AF is J‐shaped and this relationship differs by race/ethnicity, such that Chinese‐American participants have a more pronounced increased risk of AF with higher BMI, while Black participants have minimal increased risk. Further exploration of the differential effects of BMI by race/ethnicity on cardiovascular outcomes is needed.
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Affiliation(s)
- Matthew J Singleton
- Section of Cardiology Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC
| | - Charles A German
- Section of Cardiology Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC
| | - Mercedes Carnethon
- Department of Preventive Medicine Northwestern University Feinberg School of Medicine Chicago IL
| | - Elsayed Z Soliman
- Section of Cardiology Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC.,Epidemiological Cardiology Research Center Wake Forest School of Medicine Winston-Salem NC
| | - Alain G Bertoni
- Department of Epidemiology and PreventionWake Forest School of Medicine Winston-Salem NC
| | - Joseph Yeboah
- Section of Cardiology Department of Internal Medicine Wake Forest School of Medicine Winston-Salem NC
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Sohail E, Ahsan T, Ghaus S, Aijaz W. SGLT 2 Inhibitors; glycemic control, weight loss and safety profile in patients with type 2 Diabetes, at Medicell Institute (MIDEM). Pak J Med Sci 2020; 37:87-92. [PMID: 33437256 PMCID: PMC7794133 DOI: 10.12669/pjms.37.1.2701] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background & Objective: Sodium glucose co-transporter-2 inhibitors (SGLT 2 inhibitors) are newer anti-hyperglycemic agents, which improve glycemic control independent of insulin secretion with a low risk of hypoglycemia. This study aimed to assess the efficacy of SGLT 2 inhibitors in terms of glycemic control, weight reduction and safety profile in our patients with type 2 Diabetes (T2D). Methods: This is a prospective analysis, conducted at Medicell Institute of Diabetes, Endocrinology and Metabolism (MIDEM), Karachi Pakistan from January 2018 till July 2019. This study included patients with T2D, who were treated with SGLT 2 inhibitors add on to other anti-diabetic drugs. Baseline and follow up weight, BMI, HbA1c, blood pressure (BP), renal function and side effect profile was assessed. Results: Study included 140 patients; 53% females and 47% males. Mean Age was 55.6 ± 10.3 years. Mean weight at baseline was 81.5 ±16.5 kg. Mean duration of T2D was 10.3 ± 6.75 years, with a mean HbA1C at baseline of 9.1± 1.6%. Follow up data was available for 90 patients at the time of analysis. HbA1C improved considerably to 7.6± 0.9 (P< 0.001) and mean weight reduced to 78.5 ± 16.1 kg (P≤0.003), at first follow-up. Conclusion: Dapagliflozin and Empagliflozin offer a significant additional drug in improving glycemic control with the additional advantage of weight loss and hypoglycemia safety.
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Affiliation(s)
- Erum Sohail
- Dr. Erum Sohail, FCPS, MBBS. Medicell Institute of Diabetes Endocrinology & Metabolism (MIDEM), 9E, 8Zamzama Commercial Lane, Phase-V, DHA, Karachi, Pakistan
| | - Tasnim Ahsan
- Prof. Tasnim Ahsan, MRCP(UK), FRCP(Glasg), FRCP(Edin), FRCP(Lon). Medicell Institute of Diabetes Endocrinology & Metabolism (MIDEM), 9E, 8Zamzama Commercial Lane, Phase-V, DHA, Karachi, Pakistan
| | - Saima Ghaus
- Dr. Saima Ghaus, FCPS, MBBS. Medicell Institute of Diabetes Endocrinology & Metabolism (MIDEM), 9E, 8Zamzama Commercial Lane, Phase-V, DHA, Karachi, Pakistan
| | - Wasfa Aijaz
- Dr. Wasfa Aijaz, FCPS, MBBS. Medicell Institute of Diabetes Endocrinology & Metabolism (MIDEM), 9E, 8Zamzama Commercial Lane, Phase-V, DHA, Karachi, Pakistan
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Eshak ES, Muraki I, Imano H, Yamagishi K, Tamakoshi A, Iso H. Manganese intake from foods and beverages is associated with a reduced risk of type 2 diabetes. Maturitas 2020; 143:127-131. [PMID: 33308618 DOI: 10.1016/j.maturitas.2020.10.009] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 10/05/2020] [Accepted: 10/15/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Despite the hypoglycemic and antioxidant effects of manganese, only one recent Chinese study has investigated the association between dietary manganese intake and type 2 diabetes. METHODS We recruited 19,862 Japanese men and women in the Japan Collaborative Cohort Study. The participants completed a food frequency questionnaire at the baseline survey (1988 = 1990) and a diabetes history at both baseline and 5-year surveys. We calculated the odds ratios (95 % CIs) of the 5-year cumulative incidence of self-reported physician-diagnosed type 2 diabetes according to quartiles of dietary manganese intake. RESULTS Within the 5-year period, we confirmed 530 new cases of type 2 diabetes (263 in men and 267 in women) with a 5-year cumulative incidence of 2.7 % (3.6 % in men and 2.1 % in women). Higher manganese intake was inversely associated with the women's but not the men's cumulative risk of type 2 diabetes over the 5-year period. In a full model adjusted for the participants' characteristics, diabetes risk factors and a wide range of dietary variables, the multivariable odds ratios (95 %CIs) of type 2 diabetes across the increasing quartiles of manganese intake (Q1 to Q4) were 1.00, 0.97 (0.65, 1.43), 1.04 (0.67, 1.61) and 1.10 (0.64, 1.92), p-trend = 0.66 among men and 1.00, 0.74 (0.51, 1.06), 0.62 (0.41, 0.94) and 0.53 (0.31, 0.88), p-trend = 0.01 among women. The association was observed mainly for those with low iron intake in women, particularly premenopausal women. CONCLUSION Strong inverse associations between dietary manganese intake and risk of type 2 diabetes were observed in women but not men.
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Affiliation(s)
- Ehab S Eshak
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita Shi, Osaka, 565-0871, Japan; Department of Public Health and Preventive Medicine, Faculty of Medicine, Minia University, Shalaby land, Minia, 61511, Egypt.
| | - Isao Muraki
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita Shi, Osaka, 565-0871, Japan.
| | - Hironori Imano
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita Shi, Osaka, 565-0871, Japan.
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
| | - Akiko Tamakoshi
- Department of Public Health, Hokkaido University Graduate School of Medicine, Kita 15 Nishi 7, Kita-ku, Sapporo, 060-8638, Japan.
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita Shi, Osaka, 565-0871, Japan; Department of Public Health Medicine, Faculty of Medicine, and Health Services Research and Development Center, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
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Li X, Yang S, Cao C, Yan X, Zheng L, Zheng L, Da J, Tang X, Ji L, Yang X, Zhou Z. Validation of the Swedish Diabetes Re-Grouping Scheme in Adult-Onset Diabetes in China. J Clin Endocrinol Metab 2020; 105:5893635. [PMID: 32808015 DOI: 10.1210/clinem/dgaa524] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 08/13/2020] [Indexed: 12/25/2022]
Abstract
CONTEXT This study applied the Swedish novel data-driven classification in Chinese newly diagnosed diabetic patients and validated its adoptability. OBJECTIVE This study aimed to validate the practicality of the Swedish diabetes regrouping scheme in Chinese adults with newly diagnosed diabetes. DESIGN Patients were classified into 5 subgroups by K-means and Two-Step methods according to 6 clinical parameters. SETTING Ambulatory care. PATIENTS A cross-sectional survey of 15 772 patients with adult-onset newly diagnosed diabetes was conducted in China from April 2015 to October 2017. INTERVENTION None. MAIN OUTCOME MEASURES Six parameters including glutamate decarboxylase antibodies (GADA), age of onset, body mass index (BMI), glycated hemoglobin A1c (HbA1c), homoeostatic model assessment 2 estimates of β-cell function (HOMA2-B) and insulin resistance (HOMA2-IR) were measured to calculate the patient subgroups. RESULTS Our patients clustered into 5 subgroups: 6.2% were in the severe autoimmune diabetes (SAID) subgroup, 24.8% were in the severe insulin-deficient diabetes (SIDD) subgroup, 16.6% were in the severe insulin-resistance diabetes (SIRD) subgroup, 21.6% were in the mild obesity-related diabetes (MOD) subgroup and 30.9% were in the mild age-related diabetes (MARD) subgroup. When compared with the Swedish population, the proportion of SIDD subgroup was higher. In general, Chinese patients had younger age, lower BMI, higher HbA1c, lower HOMA2-B and HOMA2-IR, and higher insulin use but lower metformin usage than the Swedish patients. CONCLUSION The Swedish diabetes regrouping scheme is applicable to adult-onset diabetes in China, with a high proportion of patients with the severe insulin deficient diabetes. Further validations of long-term diabetes complications remain warranted in future studies.
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Affiliation(s)
- Xia Li
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Shuting Yang
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Chuqing Cao
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Xiang Yan
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Lei Zheng
- Changsha Fulcrum Information Technology Co. Ltd., Changsha, China
| | - Lanbo Zheng
- Changsha Fulcrum Information Technology Co. Ltd., Changsha, China
| | - Jiarui Da
- Changsha Fulcrum Information Technology Co. Ltd., Changsha, China
| | - Xiaohan Tang
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Linong Ji
- Department of Metabolism & Endocrinology, Peking University People's Hospital, Beijing, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhiguang Zhou
- Department of Metabolism & Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
- Key Laboratory of Diabetes Immunology, Central South University, Ministry of Education, Changsha, China
- National Clinical Research Center for Metabolic Diseases, Changsha, China
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Liang P, Kwong WH, Sidarta A, Yap CK, Tan WK, Lim LS, Chan PY, Kuah CWK, Wee SK, Chua K, Quek C, Ang WT. An Asian-centric human movement database capturing activities of daily living. Sci Data 2020; 7:290. [PMID: 32901007 PMCID: PMC7479610 DOI: 10.1038/s41597-020-00627-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 08/03/2020] [Indexed: 11/14/2022] Open
Abstract
Assessment of human movement performance in activities of daily living (ADL) is a key component in clinical and rehabilitation settings. Motion capture technology is an effective method for objective assessment of human movement. Existing databases capture human movement and ADL performance primarily in the Western population, and there are no Asian databases to date. This is despite the fact that Asian anthropometrics influence movement kinematics and kinetics. This paper details the protocol in the first phase of the largest Asian normative human movement database. Data collection has commenced, and this paper reports 10 healthy participants. Twelve tasks were performed and data was collected using Qualisys motion capture system, force plates and instrumented table and chair. In phase two, human movement of individuals with stroke and knee osteoarthritis will be captured. This can have great potential for benchmarking with the normative human movement captured in phase one and predicting recovery and progression of movement for patients. With individualised progression, it will offer the development of personalised therapy protocols in rehabilitation.
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Affiliation(s)
- Phyllis Liang
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore.
| | - Wai Hang Kwong
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Ananda Sidarta
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Choon Kong Yap
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Wee Kiat Tan
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Lek Syn Lim
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Pui Yee Chan
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | | | | | - Karen Chua
- Tan Tock Seng Hospital, Singapore, Singapore
| | - Colin Quek
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
| | - Wei Tech Ang
- Rehabilitation Research Institute of Singapore, Nanyang Technological University, Singapore, Singapore
- School of Mechanical & Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
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Spracklen CN, Horikoshi M, Kim YJ, Lin K, Bragg F, Moon S, Suzuki K, Tam CHT, Tabara Y, Kwak SH, Takeuchi F, Long J, Lim VJY, Chai JF, Chen CH, Nakatochi M, Yao J, Choi HS, Iyengar AK, Perrin HJ, Brotman SM, van de Bunt M, Gloyn AL, Below JE, Boehnke M, Bowden DW, Chambers JC, Mahajan A, McCarthy MI, Ng MCY, Petty LE, Zhang W, Morris AP, Adair LS, Akiyama M, Bian Z, Chan JCN, Chang LC, Chee ML, Chen YDI, Chen YT, Chen Z, Chuang LM, Du S, Gordon-Larsen P, Gross M, Guo X, Guo Y, Han S, Howard AG, Huang W, Hung YJ, Hwang MY, Hwu CM, Ichihara S, Isono M, Jang HM, Jiang G, Jonas JB, Kamatani Y, Katsuya T, Kawaguchi T, Khor CC, Kohara K, Lee MS, Lee NR, Li L, Liu J, Luk AO, Lv J, Okada Y, Pereira MA, Sabanayagam C, Shi J, Shin DM, So WY, Takahashi A, Tomlinson B, Tsai FJ, van Dam RM, Xiang YB, Yamamoto K, Yamauchi T, Yoon K, Yu C, Yuan JM, Zhang L, Zheng W, Igase M, Cho YS, Rotter JI, Wang YX, Sheu WHH, Yokota M, Wu JY, Cheng CY, Wong TY, Shu XO, Kato N, Park KS, Tai ES, Matsuda F, Koh WP, Ma RCW, Maeda S, Millwood IY, Lee J, Kadowaki T, Walters RG, Kim BJ, Mohlke KL, Sim X. Identification of type 2 diabetes loci in 433,540 East Asian individuals. Nature 2020; 582:240-245. [PMID: 32499647 PMCID: PMC7292783 DOI: 10.1038/s41586-020-2263-3] [Citation(s) in RCA: 257] [Impact Index Per Article: 64.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 03/02/2020] [Indexed: 12/30/2022]
Abstract
Meta-analyses of genome-wide association studies (GWAS) have identified more than 240 loci that are associated with type 2 diabetes (T2D)1,2; however, most of these loci have been identified in analyses of individuals with European ancestry. Here, to examine T2D risk in East Asian individuals, we carried out a meta-analysis of GWAS data from 77,418 individuals with T2D and 356,122 healthy control individuals. In the main analysis, we identified 301 distinct association signals at 183 loci, and across T2D association models with and without consideration of body mass index and sex, we identified 61 loci that are newly implicated in predisposition to T2D. Common variants associated with T2D in both East Asian and European populations exhibited strongly correlated effect sizes. Previously undescribed associations include signals in or near GDAP1, PTF1A, SIX3, ALDH2, a microRNA cluster, and genes that affect the differentiation of muscle and adipose cells3. At another locus, expression quantitative trait loci at two overlapping T2D signals affect two genes-NKX6-3 and ANK1-in different tissues4-6. Association studies in diverse populations identify additional loci and elucidate disease-associated genes, biology, and pathways.
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Affiliation(s)
- Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA, USA
| | - Momoko Horikoshi
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
| | - Young Jin Kim
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Fiona Bragg
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sanghoon Moon
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Ken Suzuki
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Yasuharu Tabara
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Soo-Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Victor J Y Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Jin-Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Masahiro Nakatochi
- Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, UCLA School of Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Hyeok Sun Choi
- Biomedical Science, Hallym University, Chuncheon, South Korea
| | - Apoorva K Iyengar
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hannah J Perrin
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Sarah M Brotman
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Martijn van de Bunt
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Anna L Gloyn
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, UK
- Stanford University, Stanford, CA, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Donald W Bowden
- Center for Genomics and Personalized Medicine Research, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
- Imperial College Healthcare NHS Trust, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Anubha Mahajan
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Mark I McCarthy
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Churchill Hospital, Oxford, UK
- Genentech, South San Francisco, CA, USA
| | - Maggie C Y Ng
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Center for Genomics and Personalized Medicine Research, Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, London, UK
| | - Andrew P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
- Department of Biostatistics, University of Liverpool, Liverpool, UK
- School of Biological Sciences, University of Manchester, Manchester, UK
| | - Linda S Adair
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Masato Akiyama
- Laboratory for Statistical and Translational Genetics, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
- Laboratory for Statistical Analysis, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
- Department of Ophthalmology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Li-Ching Chang
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Miao-Li Chee
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, UCLA School of Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yuan-Tsong Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Lee-Ming Chuang
- Division of Endocrinology & Metabolism, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
- Institute of Preventive Medicine, School of Public Health, National Taiwan University, Taipei, Taiwan
| | - Shufa Du
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, UCLA School of Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Sohee Han
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Annie-Green Howard
- Department of Biostatistics, Carolina Population Center, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Wei Huang
- Department of Genetics, Shanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China
| | - Yi-Jen Hung
- Division of Endocrine and Metabolism, Tri-Service General Hospital Songshan Branch, Taipei, Taiwan
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
| | - Mi Yeong Hwang
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Chii-Min Hwu
- Section of Endocrinology and Metabolism, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Sahoko Ichihara
- Department of Environmental and Preventive Medicine, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Masato Isono
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Hye-Mi Jang
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Guozhi Jiang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jost B Jonas
- Department of Ophthalmology, Medical Faculty Mannheim of the University of Heidelberg, Mannheim, Germany
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Osaka, Japan
- Department of Geriatric and General Medicine, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Takahisa Kawaguchi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Chiea-Chuen Khor
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Katsuhiko Kohara
- Department of Regional Resource Management, Ehime University Faculty of Collaborative Regional Innovation, Ehime, Japan
| | - Myung-Shik Lee
- Severance Biomedical Science Institute and Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Nanette R Lee
- Department of Anthropology, Sociology and History, University of San Carlos, Cebu City, Philippines
| | - Liming Li
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | - Jianjun Liu
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Andrea O Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Osaka, Japan
| | - Mark A Pereira
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Jinxiu Shi
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Dong Mun Shin
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Wing Yee So
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Atsushi Takahashi
- Laboratory for Statistical and Translational Genetics, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
- Department of Genomic Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Brian Tomlinson
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Faculty of Medicine, Macau University of Science and Technology, Macau, China
| | - Fuu-Jen Tsai
- Department of Medical Genetics and Medical Research, China Medical University Hospital, Taichung, Taiwan
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
- Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ken Yamamoto
- Department of Medical Biochemistry, Kurume University School of Medicine, Kurume, Japan
| | - Toshimasa Yamauchi
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kyungheon Yoon
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, Peking University Health Science Centre, Peking University, Beijing, China
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Liang Zhang
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Michiya Igase
- Department of Anti-aging Medicine, Ehime University Graduate School of Medicine, Ehime, Japan
| | - Yoon Shin Cho
- Biomedical Science, Hallym University, Chuncheon, South Korea
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, UCLA School of Medicine, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Ya-Xing Wang
- Beijing Institute of Ophthalmology, Ophthalmology and Visual Sciences Key Laboratory, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wayne H H Sheu
- School of Medicine, National Defense Medical Center, Taipei, Taiwan
- School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Division of Endocrinology and Metabolism, Department of Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | | | - Jer-Yuarn Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Tien-Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore
- Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo, Japan
| | - Kyong-Soo Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, South Korea
| | - E-Shyong Tai
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Chinese University of Hong Kong-Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
| | - Shiro Maeda
- Laboratory for Endocrinology, Metabolism and Kidney Diseases, RIKEN Centre for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Okinawa, Japan
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Juyoung Lee
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea
| | - Takashi Kadowaki
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, UK.
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK.
| | - Bong-Jo Kim
- Division of Genome Research, Center for Genome Science, National Institute of Health, Chungcheongbuk-do, Republic of Korea.
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
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Wang X, Howell D, Tang L, Shao J, Ye Z. Comparative study on prevalence of metabolic syndrome based on three criteria among adults in Zhejiang province, China: an observational study. BMJ Open 2020; 10:e035216. [PMID: 32265245 PMCID: PMC7245414 DOI: 10.1136/bmjopen-2019-035216] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVES In this study, we aimed to estimate the prevalence of metabolic syndrome (MetS) among Chinese adults, describe the disease components and compare utility of the existing international criteria and Chinese diagnostic criteria. DESIGN, SETTING AND PARTICIPANTS A retrospective database analysis was conducted for one hospital in Zhejiang province, China. We analysed data (collected in 2017) from a total of 64 902 participants (37 500 males and 27 402 females), aged between 18 and 97 years, and who met the eligibility criteria. MAIN OUTCOME MEASURES We employed three criteria for MetS proposed by the International Diabetes Federation (IDF) in 2005, the 2009 Joint Scientific Statement (harmonising criteria) and the China Diabetes Society (CDS) in 2013 to detect prevalence of MetS. Specifically, we analysed waist circumference, blood pressure, fasting plasma glucose, plasma triglycerides and plasma high-density lipoprotein cholesterol. RESULTS We found an estimated age-adjusted MetS prevalence of 20.4% using IDF 2005, 30.0% based on harmonising criteria 2009 and 16.3% under the CDS 2013. This prevalence was higher in males, older adults and increased body mass index. Analysis of agreements among the criteria were 87.2% (IDF and CDS), 87.1% (IDF and harmonising criteria) and 81.6% (CDS and harmonising criteria), while their kappa coefficients were 0.641, 0.708 and 0.572 for IDF versus CDS, IDF versus harmonising criteria and CDS versus harmonising criteria, respectively. The most prevalent MetS component was abdominal obesity (50.1%), followed by dyslipidaemia (49.5%) and hypertension (46.8%) using harmonising criteria. CONCLUSION These findings revealed moderate agreement among the three criteria with utility in Chinese clinical settings. The harmonising criteria 2009 performed better in early identification of MetS in the Chinese population.
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Affiliation(s)
- Xiyi Wang
- Department of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China
| | - Doris Howell
- Lawrence S. Bloomberg Faculty of Nursing, University of Toronto, Toronto, Ontario, Canada
| | - Leiwen Tang
- Department of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China
| | - Jing Shao
- Department of Nursing, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Zhihong Ye
- Department of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China
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Metabolic Effects of Sleeve Gastrectomy with Transit Bipartition in Obese Females with Type 2 Diabetes Mellitus: Results After 1-Year Follow-up. Obes Surg 2020; 29:805-810. [PMID: 30448981 DOI: 10.1007/s11695-018-3603-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
PURPOSE To present the early metabolic effects of sleeve gastrectomy with transit bipartition (SG + TB) procedure in female obese patients with type 2 diabetes mellitus (T2DM). METHODS This prospective clinical study was carried out between January 2016 and June 2017. Inclusion criteria were female participants under 60 years old with T2DM, body mass index ≥ 40 kg/m2 and HbA1c level ≥ 8%. All patients underwent to SG + TB procedure. Primary outcomes were the glycemic control variables, and the secondary outcomes were weight loss and dyslipidemia levels up to the last follow-up point. RESULTS A total of 35 female participants with an average age of 48.8 ± 6.0 years old and a mean preoperative BMI of 42.0 ± 1.3 kg/m2 were included during the study period. Diabetic remission was achieved in 88.6% of patients (n = 31) on the third month without any antidiabetic medications. The mean postoperative BMI of patients was 24.8 ± 1.6 kg/m2, and dyslipidemia levels were significiantly lower at the last follow-up point of all patients. CONCLUSIONS SG + TB procedure may be a potent therapeutic option for the treatment of obese patients with T2DM.
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Kerkadi A, Suleman D, Abu Salah L, Lotfy C, Attieh G, Bawadi H, Shi Z. Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity. Diabetes Metab Syndr Obes 2020; 13:175-183. [PMID: 32021363 PMCID: PMC6983675 DOI: 10.2147/dmso.s238748] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2019] [Accepted: 01/10/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND In Qatar more than 70% 0f the adults are overweight and obese. Different adiposity assessment methods have been proposed to identify individuals at cardio-metabolic risk. PURPOSE This study aimed to compare anthropometric indicators with Dual-energy X-ray absorptiometry (DXA) -derived adiposity indicators in predicting cardio-metabolic risk among Qatari adults. PATIENTS AND METHODS A random sample of five hundred and fifty-eight (558) healthy Qatari adults (men and women) aged 20 to 50 years was obtained from Qatar Biobank survey data. Anthropometric data (weight, height, and waist circumference), the DXA-derived data, and cardio-metabolic (CM) risk parameters were analyzed. A Spearman partial correlation coefficient, Receiver Operating Characteristics (ROC) curve and an area under curve (AUC) were used to assess the predicting ability of adiposity indicators for CM risk factors. RESULTS Adiposity indices (anthropometric and DXA) were significantly correlated with most of the CM indicators (r= -0.292 to 0.486, p< 0.001). The AUC of waist to height ratio (WHtR) was significantly higher than that of body mass index (BMI) and waist circumference (WC) in the prediction of low high density lipoprotein (HDL) (AUC=0.65, AUC=0.59; AUC=0.64), high low density lipoprotein (LDL) (AUC=0.67; AUC=0.62; AUC=0.66), high cholesterol (AUC=0.66; AUC=0.63; AUC=0.63), and high Homeostatic Model Assessment- (HOMA) (AUC= 0.81; AUC= 0.78; AUC=0.78). Among DXA- parameters, trunk fat had the highest AUCs for total cholesterol (AUC= 0.64, CI=0.56, 0.73), triglycerides and glucose index (TyG) (AUC=0.69, CI=0.64, 0.74), and HOMA (AUC=0.78, CI= 0.73, 0.84). CONCLUSION Results of the present study show that adiposity indicators (WC and WHtR) are clinically valuable tools to identify individuals at risk of CVD compared to DXA-derived parameters, while DXA can provide more accurate estimates.
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Affiliation(s)
- Abdelhamid Kerkadi
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
- Correspondence: Abdelhamid Kerkadi Tel +974 4403 4806Fax +974 4403 4801 Email
| | - Dana Suleman
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Lana Abu Salah
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Christina Lotfy
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Grace Attieh
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Hiba Bawadi
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
| | - Zumin Shi
- Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, Qatar
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