237 research outputs found
Static and vibration analysis of functionally graded beams using refined shear deformation theory
- Author
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/07/2013
- Field of study
Static and vibration analysis of functionally graded beams using refined shear deformation theory is presented. The developed theory, which does not require shear correction factor, accounts for shear deformation effect and coupling coming from the material anisotropy. Governing equations of motion are derived from the Hamilton's principle. The resulting coupling is referred to as triply coupled axial-flexural response. A two-noded Hermite-cubic element with five degree-of-freedom per node is developed to solve the problem. Numerical results are obtained for functionally graded beams with simply-supported, cantilever-free and clamped-clamped boundary conditions to investigate effects of the power-law exponent and modulus ratio on the displacements, natural frequencies and corresponding mode shapes
Modulation instability induced by cross-phase modulation in a dual-wavelength dispersion-managed soliton fiber ring laser
- Author
- A. Hasegawa
- A.-P. Luo
- A.D. Kim
- A.S. Gouveia-Neto
- A.T. Nguyen
- D.J. Richardson
- D.Y. Tang
- D.Y. Tang
- E.E. Serebryannikov
- G. Rossi
- G.P. Agrawal
- G.P. Agrawal
- H. Zhang
- H.-S. Yin
- I.W. Hsieh
- J.-R. Liu
- J.B. Schlager
- J.S.Y. Chen
- K. Tai
- L.A. Ostrovskii
- P. Kaewplung
- P.T. Dinda
- R. Hui
- S. Pan
- S.M.J. Kelly
- S.O. Konorov
- T. Tanemura
- W.-C. Xu
- W.C. Xu
- X. Dai
- Y.D. Gong
- Z.-C. Luo
- Z.C. Luo
- Z.C. Luo
- Z.C. Luo
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 02/06/2010
- Field of study
We report on the observation of modulation instability induced by cross-phase
modulation in a dual-wavelength operation dispersion-managed soliton fiber ring
laser with net negative cavity dispersion. The passively mode-locked operation
is achieved by using nonlinear polarization rotation technique. A new type of
dual-wavelength operation, where one is femtosecond pulse and the other is
picosecond pulse operation, is obtained by properly rotating the polarization
controllers. When the dual-wavelength pulses are simultaneously circulating in
the laser ring cavity, a series of stable modulation sidebands appears in the
picosecond pulse spectrum at longer wavelength with lower peak power due to
modulation instability induced by cross-phase modulation between the two lasing
wavelengths. Moreover, the intensities and wavelength shifts of the modulation
sidebands can be tuned by varying the power of the femtosecond pulse or the
lasing central wavelengths of the dual-wavelength pulses. The theoretical
analysis of the modulation instability induced by cross-phase modulation in our
fiber laser is also presented.Comment: 26 pages, 10 figure
Super-resolution:A comprehensive survey
- Author
- A Adler
- A Almansa
- A Chakrabarti
- A Corduneanu
- A Gholipour
- A Giachetti
- A Lorette
- A Marquina
- A Panagiotopoulou
- A Schatzberg
- A Zomet
- AJ Patti
- AJ Patti
- AJ Storkey
- AJ Tatem
- AK Katsaggelos
- ALD Martins
- AWMV Eekeren
- AWMV Eekeren
- B Choi
- B Cohen
- B Huhle
- B Li
- B Li
- B Narayanan
- B Wu
- BC Song
- BGV Kumar
- BK Gunturk
- BK Gunturk
- BK Gunturk
- BK Gunturk
- BR Hunt
- C Jung
- C Liu
- C Liu
- C Miravet
- C Miravet
- C Papathanassiou
- C Pohl
- C Su
- C Wang
- C Wang
- CA Segall
- CA Segall
- CA Segall
- CS Tong
- CV Jiji
- CV Jiji
- CV Jiji
- D Calle
- D Capel
- D Datsenko
- D Lin
- D Pastina
- D Rajan
- D Rajan
- D Rajan
- D Rajan
- D Rajan
- D Rajan
- D Robinson
- D Robinson
- D Yldrm
- D Zhang
- D Zhang
- DO Walsh
- DP Capel
- E Salari
- E Shechtman
- EM Hung
- F Champagnat
- F Humblot
- F Rousseau
- F Sroubek
- F Sroubek
- F Zhou
- FM Candocia
- G Dedeoglu
- G Gilboa
- G Ye
- GH Costa
- GH Costa
- GH Costa
- GK Chantas
- GM Callic
- GM Callico
- H Bouzari
- H Chang
- H Demirel
- H He
- H He
- H Huang
- H Huanga
- H Ji
- H Nasir
- H Shekarforoush
- H Shekarforoush
- H Shekarforoush
- H Stark
- H Su
- H Su
- H Takeda
- H Takeda
- H Yang
- H Zhang
- H Zhang
- H Zhao
- HF Shen
- HK Aghajan
- I Begin
- J Chen
- J Chung
- J Cui
- J Sun
- J Tian
- J Tian
- J Tian
- J Wang
- J Wang
- J Wu
- J Yang
- J Yang
- J Yu
- JA Kennedy
- JD Ouwerkerk van
- JJ Green
- JS Park
- K Aizawa
- K Choi
- K Donaldson
- K Jia
- K Jia
- K Jia
- K Kimura
- K Nasrollahi
- Kamal Nasrollahi
- KD Sauer
- KH Yap
- KI Kim
- KV Suresh
- L Ma
- L Zhang
- LC Pickup
- LC Pickup
- LC Pickup
- LJ Karam
- M Ben-Ezra
- M Ben-Ezra
- M Bertero
- M Carcenac
- M Chappalli
- M Elad
- M Elad
- M Elad
- M Elad
- M Elad
- M Elad
- M Gevrekci
- M Gevrekci
- M Gonzalez-Audcana
- M Irani
- M Irani
- M Jung
- M Protter
- M Protter
- M Shen
- M Shen
- M Shen
- M Singh
- MC Chiang
- MC Hong
- MC Pan
- MD Robinson
- ME Tipping
- ME Tipping
- MH Cheng
- MK Nema
- MK Ng
- MK Ng
- MK Ng
- MM Islam
- MV Joshi
- MV Joshi
- MVW Zibetti
- MVW Zibetti
- MVW Zibetti
- MVW Zibetti
- N Bose
- N Bose
- N Goldberg
- N Kulkarni
- N Nguyen
- N Nguyen
- NA Woods
- NA Yamany
- NK Bose
- NK Bose
- NK Bose
- OA Omer
- OA Omer
- P Chainais
- P Kramer
- P Milanfar
- P Purkait
- P Vandewalle
- P Vandewalle
- P Vandewalle
- PD Santis
- PE Eren
- PP Gajjar
- Q Pan
- Q Yuan
- Q Yuan
- R Fransens
- R He
- R Molina
- R Sasaharay
- R Tsai
- RC Hardie
- RC Hardie
- RC Hardie
- RR Schultz
- RR Schultz
- RR Schultz
- RS Prendergast
- RW Gerchberg
- S Baker
- S Chaudhuri
- S Dai
- S Farsiu
- S Farsiu
- S Farsiu
- S Farsiu
- S Farsiu
- S Kim
- S Liu
- S Lui
- S Mallat
- S Peleg
- S Pelletier
- S Peng
- S Rajaram
- S Yang
- S Zhang
- S Zhao
- SC Park
- SD Babacan
- SH Keller
- SP Belekos
- SW Park
- T Akgun
- T Gotoh
- T Katsuki
- T Komatsu
- T Szydzik
- TA Stephenson
- TC Ho
- TF Gee
- Thomas B. Moeslund
- V Patanavijit
- V Patanavijit
- V Patanavijit
- W Fan
- W Liu
- W Liu
- W Wu
- W Zhang
- W Zhao
- WT Freeman
- WT Freeman
- WWW Zou
- WZ Shao
- X Gao
- X Gao
- X Gao
- X Li
- X Li
- X Li
- X Ma
- X Maa
- X Wang
- X Zeng
- X Zhang
- Y Altunbasak
- Y He
- Y He
- Y Hu
- Y Hu
- Y Huang
- Y Mochizuki
- Y Zhuang
- Y-W Tai
- YJ Ma
- YR Li
- Z Arycan
- Z Bi
- Z Jiang
- Z Lin
- Z Lin
- Z Wang
- Z Wang
- Z Xiong
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 14/06/2014
- Field of study
An Integrated Transcriptomic and Meta-Analysis of Hepatoma Cells Reveals Factors That Influence Susceptibility to HCV Infection
- Author
- A Bairoch
- A Tai
- B Bolstad
- B Chen
- B Da Wei Huang
- B De Chassey
- B Dong
- Ben Sidders
- C Bigger
- C Boutell
- C Drouet
- C Frank
- D Levy
- D Quinkert
- D Schuppan
- D Young
- David L. Robertson
- Deepak Kaushal
- F Roohvand
- Francis Chisari
- G Dennis Jr
- G Randall
- G Smyth
- H Aizaki
- H Everett
- H Nakabayashi
- H Nguyen
- H Taniguchi
- H Zhu
- I Pedersen
- J Dudek
- J Gottwein
- J McClintick
- J Pawlotsky
- J Zhong
- J Zhong
- Jamie I. MacPherson
- Jin Zhong
- K Blight
- K Braunewell
- K Chang
- K Park
- K Raney
- K Ritchie
- L Coelmont
- L Supekova
- L Tripathi
- L Yvan-Charvet
- M Burlone
- M Dai
- M de Veer
- M Edelmann
- M Evans
- M Gale
- M Hayden
- M Holowaty
- M Merola
- M Molinari
- M Richer
- M Schröder
- Marilyn Lewis
- O Takeuchi
- Oona Delpuech-Adams
- P Georgel
- P Pileri
- P Shannon
- Paul Targett-Adams
- Perdita Backes
- Q Li
- R Edgar
- R Gentleman
- R Gosert
- R Irizarry
- R Irizarry
- R Jangra
- R Sandberg
- R Sumpter Jr
- S Alvarez
- S Blackham
- S Choi
- S Ghosh
- S Koyama
- S Lemon
- S Pipe
- S Saddar
- S Shao
- S Shi
- S Woodhouse
- Stefan Wieland
- T Kato
- T Ng
- T Okamoto
- T von Hahn
- T Yoshida
- Tanya Parkinson
- U Chatterji
- V Lohmann
- Volker Lohmann
- X Lu
- Y Ariumi
- Y Benjamini
- Y Huang
- Y Inoue
- Y Lu
- Y Nishimura-Sakurai
- Publication venue
- Public Library of Science
- Publication date
- 25/10/2011
- Field of study
Hepatitis C virus (HCV) is a global problem. To better understand HCV infection researchers employ in vitro HCV cell-culture (HCVcc) systems that use Huh-7 derived hepatoma cells that are particularly permissive to HCV infection. A variety of hyper-permissive cells have been subcloned for this purpose. In addition, subclones of Huh-7 which have evolved resistance to HCV are available. However, the mechanisms of susceptibility or resistance to infection among these cells have not been fully determined. In order to elucidate mechanisms by which hepatoma cells are susceptible or resistant to HCV infection we performed genome-wide expression analyses of six Huh-7 derived cell cultures that have different levels of permissiveness to infection. A great number of genes, representing a wide spectrum of functions are differentially expressed between cells. To focus our investigation, we identify host proteins from HCV replicase complexes, perform gene expression analysis of three HCV infected cells and conduct a detailed analysis of differentially expressed host factors by integrating a variety of data sources. Our results demonstrate that changes relating to susceptibility to HCV infection in hepatoma cells are linked to the innate immune response, secreted signal peptides and host factors that have a role in virus entry and replication. This work identifies both known and novel host factors that may influence HCV infection. Our findings build upon current knowledge of the complex interplay between HCV and the host cell, which could aid development of new antiviral strategies
Surface-Initiated Polymer Brushes in the Biomedical Field: Applications in Membrane Science, Biosensing, Cell Culture, Regenerative Medicine and Antibacterial Coatings
- Author
- Abraham S.
- Advincula R. C.
- Ahmad S. A.
- Aied A.
- Akiyama Y.
- Akkahat P.
- Akkahat P.
- Alexander C.
- Alexander S.
- Ameringer T.
- Ameringer T.
- Anker J. N.
- Anraku Y.
- Anuraj N.
- Aoki H.
- Asadinezhad A.
- Asadinezhad A.
- Ayres N.
- Ayres N.
- Azzaroni O.
- Azzaroni O.
- Badri A.
- Ballauff M.
- Ballauff M.
- Barbee K. D.
- Barbey R.
- Barbey R.
- Barbey R.
- Barbey R.
- Basavaraju K. C.
- Becker A. L.
- Becker A. L.
- Bedair T. M.
- Benhabbour S. R.
- Bernards M. T.
- Bharali D. J.
- Bhat R. R.
- Bhat R. R.
- Biesheuvel P. M.
- Bisson I.
- Bittrich E.
- Blakley C. R.
- Blin T.
- Boulos L.
- Bozukova D.
- Bracha D.
- Brault N. D.
- Brault N. D.
- Brault N. D.
- Braun S.
- Bredas J.-L.
- Brown A. A.
- Bunsow J.
- Burkert S.
- Cai T.
- Cai T.
- Canavan H. E.
- Canavan H. E.
- Chandrasekhar S.
- Chang Y.
- Chang Y.
- Chang Y.
- Chang Y.
- Chang Y.
- Chen L.
- Chen M.
- Chen T.
- Chen Y.
- Cheng G.
- Cheng G.
- Cheng G.
- Cheng N.
- Cheng Y.
- Cheng Z. P.
- Chernyy S.
- Chiang E. N.
- Cho W. K.
- Choi B. C.
- Choi E.-Y.
- Choi S.
- Christman K. L.
- Claesson P. M.
- Cloete T.
- Coad B. R.
- Cole M. A.
- Connelly J.
- Connelly J.
- Constantini F.
- Cooperstein M. A.
- Costa P.
- Cringus-Fundeanu I.
- Cullen S. P.
- Cullen S. P.
- Cunliffe D.
- da Silva E.
- da Silva R. M. P.
- Dai J.
- de Gennes P. G.
- de Groot G. W.
- de las Heras Alarcon C.
- de los Santos Pereira A.
- de Vos W. M.
- de Vos W. M.
- de Vos W. M.
- Delcroix M. F.
- Deng Y.
- Diamanti S.
- Dill J.
- Ding L.
- Dong H.
- Dong R.
- Dong R.
- Du H.
- Dworak A.
- Dworak A.
- Edmondson S.
- Edmondson S.
- Elliott I. G.
- Elloumi-Hannachi I.
- Ernst O.
- Estillore N. C.
- Falconnet D.
- Fan X.
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- Fielding L. A.
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- Fundeanu I.
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- Hucknall A.
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- Julien E. Gautrot
- Jung D.-H.
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- Powers C. M.
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- Teixeira F.
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- Xiong D.
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- Xu F. J.
- Xu F. J.
- Xu F. J.
- Xu F. J.
- Xu Z.
- Xue C.
- Xue C. Y.
- Yameen B.
- Yameen B.
- Yan P.
- Yandi W.
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- Zeng L.
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- Zhu L.-J.
- Zhu L.-P.
- Zhulina E. B.
- Zou Y.
- Publication venue
- 'American Chemical Society (ACS)'
- Publication date
- 12/05/2016
- Field of study
Trans-ancestry genome-wide association study identifies 12 genetic loci influencing blood pressure and implicates a role for DNA methylation
- Author
- L.D. do
- S. das
- Abbott J.
- Adair L.S.
- Afzal U.
- Ahluwalia T.S.
- Ahmed A.
- Ahsan H.
- Aits I.
- Akiyama K.
- Allayee H.
- Alves A.D.C.
- Asif R.
- Asselbergs F.W.
- Aung T.
- Barroso I.
- BIOS-consortium
- Bjonnes A.
- Bonder M.J.
- Braun T.R.
- Bryan M.S.
- Cai H.
- Campanella G.
- CARDIo GRAMplusCD
- Chadeau-Hyam M.
- Chambers J.C.
- Chang L.C.
- Chen C.H.
- Chen P.
- Chen Y.T.
- Cheng C.Y.
- Chong Y.S.
- Ciullo M.
- Clarke R.
- Collins R.
- Courtney R.
- Dam R.M. van
- Danesh J.
- Davies G.
- Deary I.J.
- Dehghan A.
- Delgado G.
- Deloukas P.
- Doevendans P.A.
- Dorajoo R.
- Drong A.W.
- Edwards T.L.
- Elliott P.
- Esko T.
- Franco O.H.
- Franke A.
- Franke L.
- Franks P.W.
- Franks S.
- Friedlander Y.
- Gansevoort R.T.
- Gao Y.T.
- Gieger C.
- Gilst W.H. van
- Go M.J.
- Grammer T.B.
- Grarup N.
- Grewal J.
- Gross M.D.
- Gu D.F.
- Guo Z.R.
- Hansen T.
- Harris S.E.
- Harst P. van der
- Hartiala J.
- Hartikainen A.L.
- Hazen S.L.
- He J.
- Heijman B.T.
- Heng C.K.
- Hixson J.E.
- Hofman A.
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- Hopewell J.C.
- Hsu C.
- Huang W.
- Husemoen L.L.N.
- Hwang J.Y.
- Ichihara S.
- Igase M.
- InterAct Consortium
- Isaacs A.
- Isono M.
- Jarvelin M.R.
- Jorgensen T.
- Jukema J.W.
- Justesen J.M.
- Kahonen M.
- Kajio H.
- Kasela S.
- Kasturiratne A.
- Kato N.
- Katsuy T.
- Kelly T.N.
- Khor C.C.
- Kibriya M.G.
- Kim B.J.
- Kim Y.J.
- Kim Y.K.
- Kishimoto M.
- Kivimaki M.
- Kleber M.E.
- Kleinjans J.C.S.
- Koh W.P.
- Kohara K.
- Koivula R.W.
- Kooner J.S.
- Kumari M.
- Kwek K.
- Kyrtopoulos S.A.
- Leach I.M.
- Lee J.
- Lee J.Y.
- Lee N.R.
- Lehne B.
- Lehtimaki T.
- Li H.X.
- Liao J.M.
- Lieb W.
- Liewald D.C.M.
- LifeLines Cohort Study
- Lin X.
- Linneberg A.
- Liu J.J.
- Loh M.
- Luan J.
- Lyytikainen L.P.
- Marz W.
- Matsubara T.
- Matsushita Y.
- McCarthy M.I.
- Meitinger T.
- Metspalu A.
- Meurs J.B.J. van
- Mihailov E.
- Miki T.
- Milani L.
- Mills R.
- Mohlke K.L.
- Mok Z.Y.
- Mononen N.
- Muller-Nurasyid M.
- Nabika T.
- Nakashima E.
- Nakatochi M.
- Ng H.K.
- Nguyen Q.N.
- Nikus K.
- Nutile T.
- Ohkubo T.
- Ohnaka K.
- Parish S.
- Paternoster L.
- Pedersen O.
- Peng H.
- Pereira M.A.
- Peters A.
- Pham S.T.
- Pinidiyapathirage M.J.
- Postmus I.
- Rahman M.
- Raitakari O.T.
- Rakugi H.
- Rolandsson O.
- Rozario M.A.
- Ruggiero D.
- Sala C.F.
- Saleheen D.
- Samani N.J.
- Sanghera D.K.
- Sapari N.S.
- Sarju R.
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- Scott J.
- Scott R.A.
- Scott W.R.
- Shimokawa K.
- Shu X.O.
- Snieder H.
- Soong R.
- Sorensen T.I.A.
- Sorice R.
- Sparso T.
- Spiering W.
- Starr J.M.
- Stewart A.F.R.
- Stolk L.
- Stott D.J.
- Stram D.O.
- Sugiyama T.
- Szymczak S.
- Tabara Y.
- Tai E.S.
- Takayanagi R.
- Takeuchi F.
- Tan S.T.
- Tang W.H.W.
- Teh A.L.
- Teo Y.Y.
- Tong L.
- Toniolo D.
- Tragante V.
- Traglia M.
- Trompet S.
- Turjanmaa V.
- Ueshima H.
- Uitterlinden A.G.
- Umemura S.
- Vaarasmaki M.
- Veldhuisen D.J. van
- Verweij N.
- Viikari J.S.
- Vineis P.
- Vithana E.
- Wahl S.
- Waldenberger M.
- Wander G.S.
- Wang A.L.
- Wang X.
- Wang Y.Q.
- White J.
- Wickremasinghe A.R.
- Wijmenga C.
- Wilson R.
- Wolffenbuttel B.H.W.
- Wong T.Y.
- Wu J.Y.
- Wu Y.
- Xiang Y.B.
- Yamaguchi S.
- Yamamoto K.
- Ye X.W.
- Yokota M.
- Young R.D.
- Young T.L.
- Yuan J.M.
- Zhang W.H.
- Zhang Y.
- Zhang Y.H.
- Zheng W.
- Zhou X.Y.
- Zhu D.L.
- Publication venue
- 'Springer Science and Business Media LLC'
- Publication date
- 01/01/2015
- Field of study
We carried out a trans-ancestry genome-wide association and replication study of blood pressure phenotypes among up to 320,251 individuals of East Asian, European and South Asian ancestry. We find genetic variants at 12 new loci to be associated with blood pressure (P = 3.9 × 10-11 to 5.0 × 10-21). The sentinel blood pressure SNPs are enriched for association with DNA methylation at multiple nearby CpG sites, suggesting that, at some of the loci identified, DNA methylation may lie on the regulatory pathway linking sequence variation to blood pressure. The sentinel SNPs at the 12 new loci point to genes involved in vascular smooth muscle (IGFBP3, KCNK3, PDE3A and PRDM6) and renal (ARHGAP24, OSR1, SLC22A7 and TBX2) function. The new and known genetic variants predict increased left ventricular mass, circulating levels of NT-proBNP, and cardiovascular and all-cause mortality (P = 0.04 to 8.6 × 10-6). Our results provide new evidence for the role of DNA methylation in blood pressure regulation
Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment
- Author
- Aamodt G
- Abdeen Z
- Abdella NA
- Addo J
- Aekplakorn W
- Afifi MM
- Agabiti Rosei E
- Agyemang C
- Al Nsour M
- Al Nuaim AR
- Ali MK
- Ali MM
- Ambady R
- Aro P
- Azizi F
- Babu BV
- Bahalim AN
- Barbagallo CM
- Barbieri MA
- BarcelĂł A
- Barreto SM
- Barros H
- Bautista LE
- Benetos A
- Bjerregaard P
- Björkelund C
- Bo S
- Bobak M
- BONORA Enzo
- Botana MA
- Bovet P
- Breckenkamp J
- Breteler MM
- Broda G
- Brown IJ
- Bursztyn M
- Campos H
- Cappuccio FP
- Capuano V
- Carnahan E
- Carvajal RG
- Casiglia E
- Castellano M
- Castetbon K
- Cea L
- Chang CJ
- Chaouki N
- Chatterji S
- Chen CJ
- Chen Z
- Choi JS
- Chua L
- Cobiac LJ
- Cooper RS
- Corsi AM
- Costanza MC
- Cowan MJ
- Craig CL
- CĂfkovĂĄ R
- Danaei G
- Dankner RS
- Dastgiri S
- de LeĂłn AC
- Delgado E
- Di Angelantonio E
- Dinc G
- Doi Y
- Dong GH
- Dorsi E
- Dragano N
- Drewnowski A
- Eggertsen R
- Elliott P
- Engeland A
- Erem C
- Esteghamati A
- Ezzati M
- Fall CH
- Fan JG
- Farzadfar F
- Ferreccio C
- Fezeu L
- Finucane MM
- Firmo JO
- Florez HJ
- Fornés NS
- Fowkes FG
- Franceschini G
- Frisk F
- Frisman GH
- Fuchs FD
- Fuller EL
- Getz L
- Giampaoli S
- Gomez Zumaquero JM
- Graff Iversen S
- Grant JF
- Gulliford MC
- Gupta PC
- Gupta R
- Gureje O
- Gutierrez HR
- GĂłmez LF
- Hansen TW
- Hata J
- He J
- Heim N
- Heinrich J
- Hemmingsson T
- Hennis A
- Herman WH
- Herrera VM
- Ho S
- Holdsworth M
- Hoorn SV
- Hopman WM
- Hussain A
- Husseini A
- Ibrahim MM
- Ikeda N
- Jacobsen BK
- Jaddou HY
- Jafar TH
- Janghorbani M
- Jasienska G
- Joffres MR
- Jonas JB
- Kadiki OA
- Kalter Leibovici O
- Kamadjeu RM
- Kaptoge S
- Karalis I
- Kastarinen MJ
- Katz J
- Keinan Boker L
- Kelly P
- Khalilzadeh O
- Khang YH
- Kiechl S
- Kim KW
- Kiyohara Y
- Kobayashi J
- Krause MP
- KubĂnovĂĄ R
- Kurjata P
- Kusuma YS
- Lam TH
- Langhammer A
- Lawes CM
- Le C
- Lee J
- Lewington S
- Li Y
- Li Y
- Lim SS
- Lim TO
- Lin CC
- Lin HH
- Lin JK
- Lin X
- Lind L
- Lissner L
- Liu X
- Lopez Jaramillo P
- Lorbeer R
- Lu Y
- LĂ©vy Marchal C
- Ma G
- Ma S
- MaciĂ F
- MacLean DR
- Maggi S
- Magliano DJ
- Makdisse M
- Mancia G
- Mannami T
- Marques Vidal P
- Mbanya JC
- McFarlane Anderson N
- Miccoli R
- Miettola J
- Minh HV
- Miquel JF
- Miranda JJ
- Mohamed MK
- Mohan V
- Mohanna S
- Mokdad A
- Mollentze WF
- Morales DD
- Morgan K
- Mozaffarian D
- Muiesan LM
- Muntoni S
- Nabipour I
- Nakagami T
- Nangia V
- Nemesure B
- Neovius M
- Nerhus KA
- Nervi F
- Neuhauser H
- Nguyen M
- Ninomiya T
- Noale M
- Oh SW
- Ohkubo T
- OLIVIERI Oliviero
- Onat A
- OrĂłstegui M
- Ouedraogo H
- Pan WH
- Panagiotakos DB
- Panza F
- Park Y
- Passos VM
- Pednekar MS
- Pelizzari PM
- Peres MA
- Phua HP
- Pichardo R
- Pistelli F
- Plans P
- Polakowska M
- Poulter N
- Prabhakaran D
- PĂ©rez C
- PĂ©rez FernĂĄndez R
- Qiao Q
- Rafiei M
- Rahim HF
- Raitakari OT
- Ramos LR
- Rampal L
- Rampal S
- Rao M
- Rasmussen F
- Reddy KK
- Redon J
- Revilla L
- Reyes GarcĂa V
- Riley LM
- Roaeid RB
- Robinson CA
- Rodriguez Artalejo F
- Rojas Martinez R
- Ronkainen K
- Rosero Bixby L
- Roth GA
- Sachdev HS
- Salinas CA
- Sanisoglu SY
- Sans S
- Sarraf Zadegan N
- Scazufca M
- Schaan BD
- Schapochnik N
- Schelleman H
- Schneider IJ
- Schooling CM
- Schwarz B
- Sekuri C
- Sereday MS
- Serra Majem L
- Shaw J
- Shera AS
- Shi Z
- Shiri R
- Shu XO
- Silva DA
- Silva E
- Simons LA
- Singh GM
- Smith M
- Soebardi S
- Solfrizzi V
- Sonestedt E
- Soysal A
- Stattin P
- Stein AD
- Stergiou GS
- Stessman J
- Stevens GA
- Sudo A
- Suka M
- Sundh V
- Sundquist K
- Sundström J
- Swai AB
- SĂĄnchez JR
- Söderberg S
- Tai ES
- Tambs K
- Tesfaye F
- Thomas GN
- Thorogood M
- Tilvis RS
- Tobias M
- Torheim LE
- Trenkwalder P
- Tuomilehto JO
- Tur JA
- Tzourio C
- Uhernik AI
- Ukoli FA
- Unwin N
- Vanderpump MP
- Varo JJ
- VeierĂžd MB
- Velåsquez Meléndez G
- Verschuren M
- Viet L
- Villalpando S
- Vioque J
- Vollenweider P
- Volpato S
- Wang N
- Wang YX
- Ward M
- Ward M.
- Waspadji S
- Welin LX
- Whitlock G
- Wilhelmsen L
- Willeit J
- Woodward M
- Wormser D
- Xavier AJ
- Xu F
- Xu L
- Yamamoto A
- Yang G
- Yang X
- Yeh LC
- Yoon JS
- You Q
- Yu Z
- Zhang J
- Zhang L
- Zheng W
- Zhou M
- Ănal AE
- Publication venue
- 'Lancet XXI STORIChChYa, LLC'
- Publication date
- 01/01/2014
- Field of study
Background High blood pressure, blood glucose, serum cholesterol, and BMI are risk factors for cardiovascular
diseases and some of these factors also increase the risk of chronic kidney disease and diabetes. We estimated mortality from cardiovascular diseases, chronic kidney disease, and diabetes that was attributable to these four
cardiometabolic risk factors for all countries and regions from 1980 to 2010.
Methods We used data for exposure to risk factors by country, age group, and sex from pooled analyses of populationbased health surveys. We obtained relative risks for the eff ects of risk factors on cause-specifi c mortality from metaanalyses
of large prospective studies. We calculated the population attributable fractions for- each risk factor alone,
and for the combination of all risk factors, accounting for multicausality and for mediation of the eff ects of BMI by the other three risks. We calculated attributable deaths by multiplying the cause-specifi c population attributable fractions by the number of disease-specifi c deaths. We obtained cause-specifi c mortality from the Global Burden of Diseases, Injuries, and Risk Factors 2010 Study. We propagated the uncertainties of all the inputs to the fi nal estimates.
Findings In 2010, high blood pressure was the leading risk factor for deaths due to cardiovascular diseases, chronic kidney disease, and diabetes in every region, causing more than 40% of worldwide deaths from these diseases; high BMI and glucose were each responsible for about 15% of deaths, and high cholesterol for more than 10%. After
accounting for multicausality, 63% (10\ub78 million deaths, 95% CI 10\ub71\u201311\ub75) of deaths from these diseases in 2010 were attributable to the combined eff ect of these four metabolic risk factors, compared with 67% (7\ub71 million deaths,
6\ub76\u20137\ub76) in 1980. The mortality burden of high BMI and glucose nearly doubled from 1980 to 2010. At the country
level, age-standardised death rates from these diseases attributable to the combined eff ects of these four risk factors
surpassed 925 deaths per 100 000 for men in Belarus, Kazakhstan, and Mongolia, but were less than 130 deaths per 100 000 for women and less than 200 for men in some high-income countries including Australia, Canada, France,
Japan, the Netherlands, Singapore, South Korea, and Spain.
Interpretation The salient features of the cardiometabolic disease and risk factor epidemic at the beginning of
the 21st century are high blood pressure and an increasing eff ect of obesity and diabetes. The mortality burden
of cardiometabolic risk factors has shifted from high-income to low-income and middle-income countries. Lowering
cardiometabolic risks through dietary, behavioural, and pharmacological interventions should be a part of the globalresponse to non-communicable diseases
Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4.4 million participants
- Author
- Abdeen ZA
- Abu-Rmeileh NM
- Acosta-Cazares B
- Adams R
- Aekplakorn W
- Aguilar-Salinas CA
- Agyemang C
- Ahmadvand A
- Al Nsour M
- Al-Othman AR
- Ali MK
- Alkerwi A
- Amouyel P
- Amuzu A
- Andersen LB
- Anderssen SA
- Anjana RM
- Aounallah-Skhiri H
- Aris T
- Arlappa N
- Arveiler D
- Assah FK
- Avdicova M
- Azizi F
- Balakrishna N
- Bandosz P
- Barbagallo CM
- Barcelo A
- Batieha AM
- Baur LA
- Ben Romdhane H
- Ben Romdhane H
- Benet M
- Bennett JE
- Bentham J
- Bernabe-Ortiz A
- Bharadwaj S
- Bhargava SK
- Bi Y
- Bixby H
- Bjerregaard P
- Bjerregaard P
- Bjertness E
- Bjertness MB
- Bjorkelund C
- Blokstra A
- Bo S
- Boehm BO
- Boissonnet CP
- Bonet Gorbea M
- Bovet P
- Brajkovich I
- Breckenkamp J
- Brenner H
- Brewster LM
- Brian GR
- Bruno G
- Bugge A
- Cabrera de Leon A
- Can G
- Candido APC
- Capuano V
- Carlsson AC
- Carvalho MJ
- Casanueva FF
- Casas J-P
- Caserta CA
- Castetbon K
- Chamukuttan S
- Chaturvedi N
- Chen C-J
- Chen F
- Chen S
- Cheng C-Y
- Chetrit A
- Chiou S-T
- Cho Y
- Chudek J
- Cifkova R
- Claessens F
- Concin H
- Cooper C
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- Costanzo S
- Cottel D
- Cowan MJ
- Cowell C
- Crujeiras AB
- D'Arrigo G
- Dallongeville J
- Danaei G
- Dankner R
- Dauchet L
- de Gaetano G
- De Henauw S
- Deepa M
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- del Cristo Rodriguez-Perez M
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- Dhana K
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- Di Cesare M
- Djalalinia S
- dos Santos RN
- Doua K
- Drygas W
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- Dzerve V
- Egbagbe EE
- Eggertsen R
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- Elosua R
- Erasmus RT
- Erem C
- Ergor G
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- Ferguson TS
- Fernanda Lima-Costa M
- Fernandez-Berges D
- Ferrari M
- Ferreccio C
- Feskens EJM
- Finn JD
- Foeger B
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- Forslund A-S
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- Furusawa T
- Gaciong Z
- Garnett SP
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- Gasull M
- Gates L
- Geleijnse JM
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- Giampaoli S
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- Giwercman A
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- Gottrand F
- Grafnetter D
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- Guan OP
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- Guessous I
- Guimaraes AL
- Gutierrez L
- Hajifathalian K
- Hambleton IR
- Hardy R
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- Hihtaniemi IT
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- Howitt C
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- Htet AS
- Htike MMT
- Htike MMT
- Hu Y
- Hussieni AS
- Huybrechts I
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- Iannone AG
- Ibrahim MM
- Ikeda N
- Ikram MA
- Irazola VE
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- Mathiesen EB
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- NCD Risk Factor Collaboration (NCD-RisC) .
- Ndiaye NC
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- Publication venue
- Publication date
- 09/04/2016
- Field of study
BACKGROUND: One of the global targets for non-communicable diseases is to halt, by 2025, the rise in the age-standardised adult prevalence of diabetes at its 2010 levels. We aimed to estimate worldwide trends in diabetes, how likely it is for countries to achieve the global target, and how changes in prevalence, together with population growth and ageing, are affecting the number of adults with diabetes. METHODS: We pooled data from population-based studies that had collected data on diabetes through measurement of its biomarkers. We used a Bayesian hierarchical model to estimate trends in diabetes prevalenceâdefined as fasting plasma glucose of 7·0 mmol/L or higher, or history of diagnosis with diabetes, or use of insulin or oral hypoglycaemic drugsâin 200 countries and territories in 21 regions, by sex and from 1980 to 2014. We also calculated the posterior probability of meeting the global diabetes target if post-2000 trends continue. FINDINGS: We used data from 751 studies including 4â372â000 adults from 146 of the 200 countries we make estimates for. Global age-standardised diabetes prevalence increased from 4·3% (95% credible interval 2·4â7·0) in 1980 to 9·0% (7·2â11·1) in 2014 in men, and from 5·0% (2·9â7·9) to 7·9% (6·4â9·7) in women. The number of adults with diabetes in the world increased from 108 million in 1980 to 422 million in 2014 (28·5% due to the rise in prevalence, 39·7% due to population growth and ageing, and 31·8% due to interaction of these two factors). Age-standardised adult diabetes prevalence in 2014 was lowest in northwestern Europe, and highest in Polynesia and Micronesia, at nearly 25%, followed by Melanesia and the Middle East and north Africa. Between 1980 and 2014 there was little change in age-standardised diabetes prevalence in adult women in continental western Europe, although crude prevalence rose because of ageing of the population. By contrast, age-standardised adult prevalence rose by 15 percentage points in men and women in Polynesia and Micronesia. In 2014, American Samoa had the highest national prevalence of diabetes (>30% in both sexes), with age-standardised adult prevalence also higher than 25% in some other islands in Polynesia and Micronesia. If post-2000 trends continue, the probability of meeting the global target of halting the rise in the prevalence of diabetes by 2025 at the 2010 level worldwide is lower than 1% for men and is 1% for women. Only nine countries for men and 29 countries for women, mostly in western Europe, have a 50% or higher probability of meeting the global target. INTERPRETATION: Since 1980, age-standardised diabetes prevalence in adults has increased, or at best remained unchanged, in every country. Together with population growth and ageing, this rise has led to a near quadrupling of the number of adults with diabetes worldwide. The burden of diabetes, both in terms of prevalence and number of adults affected, has increased faster in low-income and middle-income countries than in high-income countries. FUNDING: Wellcome Trust
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)
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- Zwerschke W.
- Publication venue
- 'Informa UK Limited'
- Publication date
- 01/01/2021
- Field of study
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1.
- Author
- Abdel-Aziz AK
- Abdelfatah S
- Abdellatif M
- Abdoli A
- Abel S
- Abeliovich H
- Abildgaard MH
- Abudu YP
- Acevedo-Arozena A
- Adamopoulos IE
- Adeli K
- Adolph TE
- Adornetto A
- Aflaki E
- Agam G
- Agarwal A
- Aggarwal BB
- Agnello M
- Agostinis P
- Agrewala JN
- Agrotis A
- Aguilar PV
- Ahmad ST
- Ahmed ZM
- Ahumada-Castro U
- Aits S
- Aizawa S
- Akkoc Y
- Akoumianaki T
- Akpinar HA
- Al-Abd AM
- Al-Akra L
- Al-Gharaibeh A
- Alaoui-Jamali MA
- Alberti S
- Alcocer-GĂłmez E
- Alessandri C
- Ali M
- Alim Al-Bari MA
- Aliwaini S
- Alizadeh J
- Almacellas E
- Almasan A
- Alonso A
- Alonso GD
- Altan-Bonnet N
- Altieri DC
- Alves da Costa C
- Alves S
- Alzaharna MM
- Amadio M
- Amantini C
- Amaral C
- Ambrosio S
- Amer AO
- Ammanathan V
- An Z
- Andersen SU
- Andrabi SA
- Andrade-Silva M
- Andres AM
- Angelini S
- Ann D
- Anozie UC
- Ansari MY
- Antas P
- Antebi A
- AntĂłn Z
- Anwar T
- Apetoh L
- Apostolova N
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- Arasaki K
- Araya J
- AraĂșjo WL
- Arden C
- Arguelles S
- Arias E
- Arikkath J
- Arimoto H
- Ariosa AR
- Armstrong-James D
- Arnauné-Pelloquin L
- Aroca A
- Arroyo DS
- Arsov I
- Artero R
- Arévalo M-A
- Asaro DML
- Aschner M
- Ashrafizadeh M
- Ashur-Fabian O
- Atanasov AG
- Au AK
- Auberger P
- Auner HW
- Aurelian L
- Autelli R
- Avagliano L
- Aveic S
- Aveleira CA
- Avin-Wittenberg T
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- Ayyadevara S
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- Chen Y-J
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- Chen Z-H
- Chen ZJ
- Chen ZS
- Cheng H
- Cheng J
- Cheng S-Y
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- Cheng X-T
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- Der CJ
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- Zimmermann CM
- Ziviani E
- Zoladek T
- Zong W-X
- Zorov DB
- Zorzano A
- Zou W
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- Zuryn S
- Zwerschke W
- Ălvarez ĂMC
- Ăvalos Y
- Ănal G
- ĂstĂŒn S
- ÄoliÄ M
- ÄokiÄ J
- Ćœerovnik E
- Publication venue
- 'Informa UK Limited'
- Publication date
- 01/01/2021
- Field of study
In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field
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