20 research outputs found
Potential Molecular Mechanisms of Rare Anti-Tumor Immune Response by SARS-CoV-2 in Isolated Cases of Lymphomas
Recently, two cases of complete remission of classical Hodgkin lymphoma (cHL) and follicular lymphoma (FL) after SARS-CoV-2 infection were reported. However, the precise molecular mechanism of this rare event is yet to be understood. Here, we hypothesize a potential anti-tumor immune response of SARS-CoV-2 and based on a computational approach show that: (i) SARS-CoV-2 Spike-RBD may bind to the extracellular domains of CD15, CD27, CD45, and CD152 receptors of cHL or FL and may directly inhibit cell proliferation. (ii) Alternately, upon internalization after binding to these CD molecules, the SARS-CoV-2 membrane (M) protein and ORF3a may bind to gamma-tubulin complex component 3 (GCP3) at its tubulin gamma-1 chain (TUBG1) binding site. (iii) The M protein may also interact with TUBG1, blocking its binding to GCP3. (iv) Both the M and ORF3a proteins may render the GCP2-GCP3 lateral binding where the M protein possibly interacts with GCP2 at its GCP3 binding site and the ORF3a protein to GCP3 at its GCP2 interacting residues. (v) Interactions of the M and ORF3a proteins with these gamma-tubulin ring complex components potentially block the initial process of microtubule nucleation, leading to cell-cycle arrest and apoptosis. (vi) The Spike-RBD may also interact with and block PD-1 signaling similar to pembrolizumab and nivolumab- like monoclonal antibodies and may induce B-cell apoptosis and remission. (vii) Finally, the TRADD interacting “PVQLSY” motif of Epstein-Barr virus LMP-1, that is responsible for NF-kB mediated oncogenesis, potentially interacts with SARS-CoV-2 M(pro), NSP7, NSP10, and spike (S) proteins, and may inhibit the LMP-1 mediated cell proliferation. Taken together, our results suggest a possible therapeutic potential of SARS-CoV-2 in lymphoproliferative disorders
Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the Global Burden of Disease Study 2019
Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively. Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries
Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed
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Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation
Intrinsic disorder perspective of an interplay between the renin-angiotensin-aldosterone system and SARS-CoV-2
The novel severe acute respiratory syndrome (SARS) coronavirus SARS-CoV-2 walks the planet causing the rapid spread of the CoV disease 2019 (COVID-19) that has especially deleterious consequences for the patients with underlying cardiovascular diseases (CVDs). Entry of the SARS-CoV-2 into the host cell involves interaction of the virus (via the receptor-binding domain (RBD) of its spike glycoprotein) with the membrane-bound form of angiotensin-converting enzyme 2 (ACE2) followed by the virus-ACE2 complex internalization by the cell. Since ACE2 is expressed in various tissues, such as brain, gut, heart, kidney, and lung, and since these organs represent obvious targets for the SARS-CoV-2 infection, therapeutic approaches were developed to either inhibit ACE2 or reduce its expression as a means of prevention of the virus entry into the corresponding host cells. The problem here is that in addition to be a receptor for the SARS-CoV-2 entry into the host cells, ACE2 acts as a key component of the renin-angiotensin-aldosterone system (RAAS) aimed at the generation of a cascade of vasoactive peptides coordinating several physiological processes. In RAAS, ACE2 degrades angiotensin II, which is a multifunctional CVD-promoting peptide hormone and converts it to a heptapeptide angiotensin-(1–7) acting as the angiotensin II antagonist. As protein multifunctionality is commonly associated with the presence of flexible or disordered regions, we analyze here the intrinsic disorder predisposition of major players related to the SARS-CoV-2 – RAAS axis. We show that all considered proteins contain intrinsically disordered regions that might have specific functions. Since intrinsic disorder might play a role in the functionality of query proteins and be related to the COVID-19 pathogenesis, this work represents an important disorder-based outlook of an interplay between the renin-angiotensin-aldosterone system and SARS-CoV-2. It also suggests that consideration of the intrinsic disorder phenomenon should be added to the modern arsenal of means for drug development. © 202
A Bird\u27s-eye View of Proteomics
Modern protein science is broadening horizons by moving toward the systemic description of proteins in their natural habitats. This implies a transition from a classical reductionist approach associated with consideration of the unique structure and specific biological activity of an individual protein in a purified form to studying entire proteomes and their functions. This minireview provides a brief description of structural, functional, and expression proteomics, the dark proteome (or unfoldome), and some of the tools utilized in the analyses of proteomes
Circulating Extracellular Vesicles and Rheumatoid Arthritis: a Proteomic Analysis
Circulating extracellular vesicles (EVs) are membrane-bound nanoparticles secreted by most cells for intracellular communication and transportation of biomolecules. EVs carry proteins, lipids, nucleic acids, and receptors that are involved in human physiology and pathology. EV cargo is variable and highly related to the type and state of the cellular origin. Three subtypes of EVs have been identified: exosomes, microvesicles, and apoptotic bodies. Exosomes are the smallest and the most well-studied class of EVs that regulate different biological processes and participate in several diseases, such as cancers and autoimmune diseases. Proteomic analysis of exosomes succeeded in profiling numerous types of proteins involved in disease development and prognosis. In rheumatoid arthritis (RA), exosomes revealed a potential function in joint inflammation. These EVs possess a unique function, as they can transfer specific autoantigens and mediators between distant cells. Current proteomic data demonstrated that exosomes could provide beneficial effects against autoimmunity and exert an immunosuppressive action, particularly in RA. Based on these observations, effective therapeutic strategies have been developed for arthritis and other inflammatory disorders
Global multi-stakeholder endorsement of the MAFLD definition
none1055noneMendez-Sanchez N.; Bugianesi E.; Gish R.G.; Lammert F.; Tilg H.; Nguyen M.H.; Sarin S.K.; Fabrellas N.; Zelber-Sagi S.; Fan J.-G.; Shiha G.; Targher G.; Zheng M.-H.; Chan W.-K.; Vinker S.; Kawaguchi T.; Castera L.; Yilmaz Y.; Korenjak M.; Spearman C.W.; Ungan M.; Palmer M.; El-Shabrawi M.; Gruss H.-J.; Dufour J.-F.; Dhawan A.; Wedemeyer H.; George J.; Valenti L.; Fouad Y.; Romero-Gomez M.; Eslam M.; Abate M.L.; Abbas B.; Abbassy A.A.; Abd El Ghany W.; Abd Elkhalek A.; Abd ElMajeed E.; Abdalgaber M.; AbdAllah M.; Abdallah M.; Abdallah N.; Abdelaleem S.; Abdelghani Y.; Abdelghany W.; Abdelhalim S.M.; Abdelhamid W.; Abdelhamid N.; Abdelkader N.A.; Abdelkreem E.; Abdelmohsen A.M.; Abdelrahman A.A.; Abd-elsalam S.M.; Abdeltawab D.; Abduh A.; Abdulhakam N.; Abdulla M.; Abedpoor N.; Abenavoli L.; Aberg F.; Ablack O.; Abo elftouh M.; Abo-Amer Y.E.-E.; Aboubkr A.; Aboud A.; Abouelnaga A.M.; Aboufarrag G.A.; Aboutaleb A.; Abundis L.; Adali G.; Adames E.; Adams L.; Adda D.; Adel N.; Adel N.; Adel Sayed M.; Afaa T.J.; Afredj N.; Aghayeva G.; Aghemo A.; Aguilar-Salinas C.A.; Ahlenstiel G.; Ahmady W.; Ahmed W.; Ahmed A.; Ahmed S.N.; Ahmed H.M.; Ahmed R.; Aigner E.; Akarsu M.; Akroush M.; Akyuz U.; Al Mahtab M.; Al Qadiri T.; Al Rawahi Y.; AL rubaee R.; Al Saffar M.; Alam S.; Al-Ani Z.; Albillos A.; Alboraie M.; Al-Busafi S.; Al-Emam M.; Alharthi J.; Ali K.; Ali B.A.; Ali M.; Ali R.A.R.; Alisi A.; AL-Khafaji A.R.; Alkhatry M.; Aller R.; Almansoury Y.; Al-Naamani K.; Alnakeeb A.; Alonso A.; Alqahtani S.A.; Alrabadi L.; Alswat K.; Altaher M.; Altamimi T.; Altamirano J.; Alvares-da-Silva M.R.; Aly E.A.M.; Alzahaby A.; Alzamzamy A.; Amano K.; Amer M.A.; Amin M.A.; Amin S.A.; Amir A.A.; Ampuero J.; Anas N.; Andreone P.; Andriamandimby S.F.; Anees M.; Angela P.; Antonios M.; Arafat W.; Araya J.M.; Armendariz-Borunda J.; Armstrong M.J.; Ashktorab H.; Aspichueta P.; Assal F.; Atef M.; Attia D.; Atwa H.; Awad R.; Awad M.A.E.; Awny S.; Awolowo O.; Awuku Y.A.; Ayada I.; Aye T.T.; Ayman S.; Ayman H.; Ayoub H.; Azmy H.M.; Babaran R.P.; Badreldin O.; Badry A.; Bahcecioglu I.H.; Bahour A.; Bai J.; Balaban Y.; Balasubramanyam M.; Bamakhrama K.; Banales J.M.; Bangaru B.; Bao J.; Barahona J.S.; Barakat S.; Barbalho S.M.; Barbra B.; Barranco B.; Barrera F.; Baumann U.; Bazeed S.; Bech E.; Benayad A.; Benesic A.; Bernstein D.; Bessone F.; Birney S.; Bisseye C.; Blake M.; Bobat B.; Bonfrate L.; Bordin D.S.; Bosques-Padilla F.; Boursier J.; Boushab B.M.; Bowen D.; Bravo P.M.; Brennan P.N.; Bright B.; Broekaert I.; Buque X.; Burgos-Santamaria D.; Burman J.; Busetto L.; Byrne C.D.; Cabral-Prodigalidad P.A.I.; Cabrera-Alvarez G.; Cai W.; Cainelli F.; Caliskan A.R.; Canbay A.; Cano-Contreras A.; Cao H.-X.; Cao Z.; Carrion A.; Carubbi F.; Casanovas T.; Castellanos Fernandez M.I.; Chai J.; Chan S.P.; Charatcharoenwitthaya P.; Chavez-Tapia N.; Chayama K.; Chen J.; Chen L.; Chen Z.-W.; Chen H.; Chen S.-D.; Chen Q.; Chen Y.; Chen G.; Chen E.-Q.; Chen F.; Chen P.-J.; Cheng R.; Cheng W.; Chieh J.T.W.; Chokr I.; Cholongitas E.; Choudhury A.; Chowdhury A.; Chukwudike E.S.; Ciardullo S.; Clayton M.; Clement K.; Cloa M.M.; Coccia C.; Collazos C.; Colombo M.; Cosar A.M.; Cotrim H.P.; Couillerot J.; Coulibaly A.; Crespo G.; Crespo J.; Cruells M.; Cua I.H.Y.; Dabbous H.K.; Dalekos G.N.; D'Alia P.; Dan L.; Dao V.H.; Darwish M.; Datz C.; Davalos-Moscol M.B.; Dawoud H.; de Careaga B.O.; de Knegt R.; de Ledinghen V.; de Silva J.; Debzi N.; Decraecker M.; Del Pozo E.; Delgado T.C.; Delgado-Blanco M.; Dembinski L.; Depina A.; Derbala M.; Desalegn H.; Desbois-Mouthon C.; Desoky M.; Dev A.; Di Ciaula A.; Diago M.; Diallo I.; Diaz L.A.; Dirchwolf M.; Dongiovanni P.; Dorofeyev A.; Dou X.; Douglas M.W.; Doulberis M.; Dovia C.K.; Doyle A.; Dragojevic I.; Drenth J.P.; Duan X.; Dulskas A.; Dumitrascu D.L.; Duncan O.; Dusabejambo V.; Dwawhi R.S.N.A.; Eiketsu S.; El Amrousy D.; El Deeb A.; El Deriny G.; El Din H.S.; El Kamshishy S.; El Kassas M.; El Raziky M.; Elagamy O.A.; Elakel W.; Elalfy D.; Elaraby H.; ElAwady H.; Elbadawy R.; Eldash H.H.; Eldefrawy M.S.; Elecharri C.L.; Elfaramawy A.; Elfatih M.; Elfiky M.; Elgamsy M.; Elgendy M.; El-Guindi M.A.; Elhussieny N.; Eliwa A.M.; Elkabbany Z.; El-Khayat H.; El-Koofy N.M.; Elmetwalli A.; Elrabat A.; El-Raey F.; Elrashdy F.; Elsahhar M.; Elsaid E.M.; Elsayed S.; Elsayed H.; Elsayed A.; Elsayed A.M.; Elsayed H.; El-Serafy M.; Elsharkawy A.M.; Elsheemy R.Y.; Elshemy E.E.; Elsherbini S.; Eltoukhy N.; Elwakil R.; Emad O.; Emad S.; Embabi M.; Ergenc I.; Ermolova T.; Esmat G.; Esmat D.M.; Estupinan E.C.; Ettair S.; Eugen T.; Ezz-Eldin M.; Falcon L.P.V.; Fan Y.-C.; Fandari S.; Farag M.; Farahat T.M.; Fares E.M.; Fares M.; Fassio E.; Fathy H.; Fathy D.; Fathy W.; Fayed S.; Feng D.; Feng G.; Fernandez-Bermejo M.; Ferreira C.T.; Ferrer J.D.; Forbes A.; Fouad R.; Fouad H.M.; Frisch T.; Fujii H.; Fukunaga S.; Fukunishi S.; Fulya H.; Furuhashi M.; Gaber Y.; Galang A.J.G.; Gallardo J.C.; Galloso R.; Gamal M.; Gamal R.; Gamal H.; Gan J.; Ganbold A.; Gao X.; Garas G.; Garba T.; Garcia-Cortes M.; Garcia-Monzon C.; Garcia-Samaniego J.; Gastaldelli A.; Gatica M.; Gatley E.; Gegeshidze T.; Geng B.; Ghazinyan H.; Ghoneem S.; Giacomelli L.; Giannelli G.; Giannini E.G.; Giefer M.; Gines P.; Girala M.; Giraudi P.J.; Goh G.B.-B.; Gomaa A.A.; Gong B.; Gonzales D.H.C.; Gonzalez H.C.; Gonzalez-Huezo M.S.; Graupera I.; Grgurevic I.; Gronbaek H.; Gu X.; Guan L.; Gueye I.; Guingane A.N.; Gul O.O.; Gul C.B.; Guo Q.; Gupta P.P.; Gurakar A.; Gutierrez J.C.R.; Habib G.; Hafez A.; Hagman E.; Halawa E.; Hamdy O.; Hamed A.E.; Hamed D.H.; Hamid S.; Hamoudi W.; Han Y.; Haridy J.; Haridy H.; Harris D.C.H.H.; Hart M.; Hasan F.; Hashim A.; Hassan I.; Hassan A.; Hassan E.A.; Hassan A.A.; Hassan M.S.; Hassanin F.; Hassnine A.; Haukeland J.W.; Hawal A.I.M.; He J.; He Q.; He Y.; He F.-P.; Hegazy M.; Hegazy A.; Henegil O.; Hernandez N.; Hernandez-Guerra M.; Higuera-de-la-Tijera F.; Hindy I.; Hirota K.; Ho L.C.; Hodge A.; Hosny M.; Hou X.; Huang J.-F.; Huang Y.; Huang Z.; Huang Y.; Huang A.; Huang X.-P.; Hui-ping S.; Hunyady B.; Hussein M.A.; Hussein O.; Hussien S.M.; Ibanez-Samaniego L.; Ibdah J.; Ibrahim L.; Ibrahim M.; Ibrahim I.; Icaza-Chavez M.E.; Idelbi S.; Idilman R.I.; Ikeda M.; Indolfi G.; Invernizzi F.; Irshad I.; Isa H.M.A.; Iskandar N.J.; Ismaiel A.; Ismail M.; Ismail Z.; Ismail F.; Iwamoto H.; Jack K.; Jacob R.; Jafarov F.; Jafri W.; Jahshan H.; Jalal P.K.; Jancoriene L.; Janicko M.; Jayasena H.; Jefferies M.; Jha V.; Ji F.; Ji Y.; Jia J.; Jiang C.; Jiang N.; Jiang Z.-Z.; Jin X.; Jin Y.; Jing X.; Jingyu Q.; Jinjolava M.; Jong F.H.H.; Jucov A.; Julius I.; Kaddah M.; Kamada Y.; kamal A.; Kamal E.M.; Kamel A.S.; Kao J.-H.; Karin M.; Karlas T.; Kashwaa M.; Katsidzira L.; Kaya E.; Kayasseh M.A.; Keenan B.; Keklikkiran C.; Keml W.; Khalaf D.K.; Khalefa R.; Khamis S.; Khater D.; khattab H.; Khavkin A.; Khlynova O.; Khmis N.; Kobyliak N.; Koffas A.; Koike K.; Kok K.Y.Y.; Koller T.; Komas N.P.; Korochanskaya N.V.; Koulla Y.; Koya S.; Kraft C.; Kraja B.; Krawczyk M.; Kuchay M.S.; Kulkarni A.V.; Kumar A.; Kumar M.; Lakoh S.; Lam P.; Lan L.; Lange N.F.; Lankarani K.B.; Lanthier N.; Lapshyna K.; Lashen S.A.; Laure K.N.J.; Lazebnik L.; Lebrec D.; Lee S.S.; Lee W.S.; Lee Y.Y.; Leeming D.J.; Leite N.C.; Leon R.; Lesmana C.R.A.; Li J.; Li Q.; Li J.; Li Y.-Y.; Li Y.; Li L.; Li M.; li Y.; Liang H.; Lijuan T.; Lim S.G.; Lim L.-L.; Lin S.; Lin H.-C.; Lin R.; Lithy R.; Liu Y.; Liu Y.; Liu X.; Liu W.-Y.; Liu S.; Liu K.; Liu T.; Lonardo A.; Lopez M.B.; Lopez-Benages E.; Lopez-Jaramillo P.; Lu H.; Lu L.G.; Lu Y.; Lubel J.; Lui R.; Lupasco I.; Luzina E.; Lv X.-H.; Lynch K.; Ma H.-L.; Machado M.V.; Maduka N.; Madzharova K.; Magdaong R.; Mahadeva S.; Mahfouz A.; Mahmood N.R.K.N.; Mahmoud E.; Mahrous M.; Maiwall R.; Majeed A.; Majumdar A.; Mak L.; Maklouf M.M.; Malekzadeh R.; Mandato C.; Mangia A.; Mann J.; Mansour H.H.; Mansouri A.; Mantovani A.; Mao J.Q.; Maramag F.; Marchesini G.; Marcus C.; Marinho R.A.R.T.; Martinez-Chantar M.L.; Martins A.A.S.; Marwan R.; Mason K.F.; Masoud G.; Massoud M.N.; Matamoros M.A.; Mateos R.M.; Mawed A.; Mbanya J.C.; Mbendi C.; McColaugh L.; McLeod D.; Medina J.F.R.; Megahed A.; Mehrez M.; Memon I.; Merat S.; Mercado R.; Mesbah A.; Meskini T.; Metwally M.; Metwaly R.; Miao L.; Micah E.; Miele L.; Milivojevic V.; Milovanovic T.; Mina Y.L.; Mishkovik M.; Mishriki A.; Mitchell T.; Mohamed A.; Mohamed M.; Mohamed S.; Mohammed S.; Mohammed A.; Mohan V.; Mohie S.; Mokhtar A.; Moniem R.; Montilla M.S.; Morales J.A.O.; Morata M.M.S.; Moreno-Planas J.M.; Morise S.; Mosaad S.; Moselhy M.; Mostafa A.M.; Mostafa E.; Mouane N.; Mousa N.; Moustafa H.M.; Msherif A.; Muller K.; Munoz C.; Munoz-Urribarri A.B.; Murillo O.A.; Mustapha F.I.; Muzurovic E.; Nabil Y.; Nafady S.; Nagamatsu A.; Nakajima A.; Nakano D.; Nan Y.; Nascimbeni F.; Naseef M.S.; Nashat N.; Natalia T.; Negro F.; Nersesov A.V.; Neuman M.; Ng'wanasayi M.; Ni Y.; Nicoll A.; Niizeki T.; Nikolova D.; Ningning W.; Niriella M.; Nogoibaeva K.A.; Nordien R.; O Sullivan C.; O'Beirne J.; Obekpa S.; Ocama P.; Ochwoto M.; Ogolodom M.P.; Ojo O.; Okrostsvaridze N.; Oliveira C.P.; Omana R.C.; Omar O.M.; Omar H.; Omar M.; Omran S.; Omran R.; Osman M.M.; Owise N.; Owusu-Ansah T.; Padilla- Machaca P.M.; Palle S.; Pan Z.; Pan X.-Y.; Pan Q.; Papaefthymiou A.; Paquissi F.C.; Par G.; Parkash A.; Payawal D.; Peltekian K.M.; Peng X.; Peng L.; Peng Y.; Pengoria R.; Perez M.; Perez J.L.; Perez N.M.; Persico M.; Pessoa M.G.; Petta S.; Philip M.; Plaz Torres M.C.; Polavarapu N.; Poniachik J.; Portincasa P.; Pu C.; Purnak T.; Purwanto E.; Qi X.; Qi X.; Qian Z.; Qiang Z.; Qiao Z.; Qiao L.; Queiroz A.; Rabiee A.; Radwan M.; Rahetilahy A.M.; Ramadan Y.; Ramadan D.; Ramli A.S.; Ramm G.A.; Ran A.; Rankovic I.; RAO H.; Raouf S.; Ray S.; Reau N.; Refaat A.; Reiberger T.; Remes-Troche J.M.; Reyes E.C.; Richardson B.; Ridruejo E.; Riestra Jimenez S.; Rizk I.; Roberts S.; Roblero J.P.; Robles J.A.P.; Rockey D.; Rodriguez M.; Rodriguez Hernandez H.; Roman E.; Romeiro F.G.; Romeo S.; Rosales-Zabal J.M.; Roshdi G.R.; Rosso N.; Ruf A.; Ruiz P.C.; Runes N.R.; Ruzzenente A.; Ryan M.; Saad A.; Sabbagh E.B.; Sabbah M.; Saber S.; Sabrey R.; Sabry R.; Saeed M.A.; Said D.; Said E.M.; Sakr M.A.; Salah Y.; Salama R.M.; Salama A.; Saleh H.; Saleh A.; Salem A.; Salem A.T.; Salifou A.; Salih A.F.; Salman A.; Samouda H.; Sanai F.; Sanchez-Avila J.F.; Sanker L.; Sano T.; Sanz M.; Saparbu T.; Sawhney R.; Sayed F.; Sayed S.A.; Sayed A.O.; Sayed M.; Sebastiani G.; Secadas L.; Sediqi K.Q.; Seif S.; Semida N.; Senates E.; Serban E.D.; Serfaty L.; Seto W.-K.; Sghaier I.; Sha M.; Shabaan H.M.; Shalaby L.; Shaltout I.; Sharara A.I.; Sharma V.; Shawa I.T.; Shawkat A.; Shawky N.; Shehata O.; Sheils S.; Shewaye A.B.; Shi G.; Shi J.; Shimose S.; Shirono T.; Shou L.; Shrestha A.; Shui G.; Sievert W.; Sigurdardottir S.; Sira M.M.; Siradj R.; Sison C.; Smyth L.; Soliman R.; Sollano J.D.; Sombie R.; Sonderup M.; Sood S.; Soriano G.; Stedman C.A.M.; Stefanyuk O.; Stimac D.; Strasser S.; Strnad P.; Stuart K.; Su W.; Su M.; Sumida Y.; Sumie S.; Sun D.-Q.; Sun J.; Suzuki H.; Svegliati-Baroni G.; Swar M.O.; TAHARBOUCHT S.; Taher Z.; Takamura S.; Tan L.; Tan S.-S.; Tanwandee T.; Tarek S.; Tatiana G.; Tavaglione F.; Tecson G.Y.; Tee H.-P.; Teschke R.; Tharwat M.; Thong V.D.; Thursz M.; Tine T.; Tiribelli C.; Tolmane I.; Tong J.; Tongo M.; Torkie M.; Torre A.; Torres E.A.; Trajkovska M.; Treeprasertsuk S.; Tsutsumi T.; Tu T.; Tur J.A.; Turan D.; Turcan S.; Turkina S.; Tutar E.; Tzeuton C.; Ugiagbe R.; Uygun A.; Vacca M.; Vajro P.; Van der Poorten D.; Van Kleef L.A.; Vashakidze E.; Velazquez C.M.; Velazquez M.I.; Vento S.; Verhoeven V.; Vespasiani-Gentilucci U.; Vethakkan S.R.; Vilaseca J.; Vitek L.; Volkanovska A.; Wallace M.; Wan W.; Wang Y.; Wang Y.; Wang X.; Wang X.; Wang C.; Wang C.; Wang M.; Wangchuk P.; Weltman M.; White M.; Wiegand J.; Wifi M.-N.; Wigg A.; Wilhelmi M.; William R.; Wittenburg H.; Wu S.; Wubeneh A.M.; Xia H.; Xiao J.; Xiao X.; Xiaofeng W.; Xiong W.; Xu L.; Xu J.; Xu W.; Xu J.-H.; Xu K.; Xu Y.; Xu S.-H.; Xu M.; Xu A.; Xu C.; Yan H.; Yang J.; Yang R.-X.; Yang Y.; Yang Q.; Yang N.; Yao J.; Yara J.; Yaras S.; Yilmaz N.; Younes R.; younes H.; Young S.; Youssef F.; Yu Y.; Yu M.-L.; Yuan J.; Yue Z.; Yuen M.-F.; Yun W.; Yurukova N.; Zakaria S.; Zaky S.; Zaldastanishvili M.; Zapata R.; Zare N.; Zerem E.; Zeriban N.; Zeshuai X.; Zhang H.; Zhang X.; Zhang Y.; Zhang W.-H.; Zhang X.; Zhang Y.-P.; Zhang Y.; Zhang Z.-Q.; Zhao J.; Zhao R.-R.; Zhao H.; Zheng C.; Zheng Y.; Zheng R.; Zheng T.-L.; Zheng K.; Zhou X.Q.; Zhou Y.; Zhou Y.-J.; Zhou H.; Zhou L.; Zhou Y.; Zhu L.D.; Zhu Y.F.; Zhu Y.; Zhu P.-W.; Ziada E.; Ziring D.; Ziyi L.; Zou S.; Zou Z.; Zou H.; Zuart Ruiz R.Mendez-Sanchez, N.; Bugianesi, E.; Gish, R. G.; Lammert, F.; Tilg, H.; Nguyen, M. H.; Sarin, S. K.; Fabrellas, N.; Zelber-Sagi, S.; Fan, J. -G.; Shiha, G.; Targher, G.; Zheng, M. -H.; Chan, W. -K.; Vinker, S.; Kawaguchi, T.; Castera, L.; Yilmaz, Y.; Korenjak, M.; Spearman, C. W.; Ungan, M.; Palmer, M.; El-Shabrawi, M.; Gruss, H. -J.; Dufour, J. -F.; Dhawan, A.; Wedemeyer, H.; George, J.; Valenti, L.; Fouad, Y.; Romero-Gomez, M.; Eslam, M.; Abate, M. L.; Abbas, B.; Abbassy, A. A.; Abd El Ghany, W.; Abd Elkhalek, A.; Abd ElMajeed, E.; Abdalgaber, M.; Abdallah, M.; Abdallah, M.; Abdallah, N.; Abdelaleem, S.; Abdelghani, Y.; Abdelghany, W.; Abdelhalim, S. M.; Abdelhamid, W.; Abdelhamid, N.; Abdelkader, N. A.; Abdelkreem, E.; Abdelmohsen, A. M.; Abdelrahman, A. A.; Abd-elsalam, S. M.; Abdeltawab, D.; Abduh, A.; Abdulhakam, N.; Abdulla, M.; Abedpoor, N.; Abenavoli, L.; Aberg, F.; Ablack, O.; Abo elftouh, M.; Abo-Amer, Y. E. -E.; Aboubkr, A.; Aboud, A.; Abouelnaga, A. M.; Aboufarrag, G. 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C.; Delgado-Blanco, M.; Dembinski, L.; Depina, A.; Derbala, M.; Desalegn, H.; Desbois-Mouthon, C.; Desoky, M.; Dev, A.; Di Ciaula, A.; Diago, M.; Diallo, I.; Diaz, L. A.; Dirchwolf, M.; Dongiovanni, P.; Dorofeyev, A.; Dou, X.; Douglas, M. W.; Doulberis, M.; Dovia, C. K.; Doyle, A.; Dragojevic, I.; Drenth, J. P.; Duan, X.; Dulskas, A.; Dumitrascu, D. L.; Duncan, O.; Dusabejambo, V.; Dwawhi, R. S. N. A.; Eiketsu, S.; El Amrousy, D.; El Deeb, A.; El Deriny, G.; El Din, H. S.; El Kamshishy, S.; El Kassas, M.; El Raziky, M.; Elagamy, O. A.; Elakel, W.; Elalfy, D.; Elaraby, H.; Elawady, H.; Elbadawy, R.; Eldash, H. H.; Eldefrawy, M. S.; Elecharri, C. L.; Elfaramawy, A.; Elfatih, M.; Elfiky, M.; Elgamsy, M.; Elgendy, M.; El-Guindi, M. A.; Elhussieny, N.; Eliwa, A. M.; Elkabbany, Z.; El-Khayat, H.; El-Koofy, N. M.; Elmetwalli, A.; Elrabat, A.; El-Raey, F.; Elrashdy, F.; Elsahhar, M.; Elsaid, E. M.; Elsayed, S.; Elsayed, H.; Elsayed, A.; Elsayed, A. M.; Elsayed, H.; El-Serafy, M.; Elsharkawy, A. M.; Elsheemy, R. Y.; Elshemy, E. E.; Elsherbini, S.; Eltoukhy, N.; Elwakil, R.; Emad, O.; Emad, S.; Embabi, M.; Ergenc, I.; Ermolova, T.; Esmat, G.; Esmat, D. M.; Estupinan, E. C.; Ettair, S.; Eugen, T.; Ezz-Eldin, M.; Falcon, L. P. V.; Fan, Y. -C.; Fandari, S.; Farag, M.; Farahat, T. M.; Fares, E. M.; Fares, M.; Fassio, E.; Fathy, H.; Fathy, D.; Fathy, W.; Fayed, S.; Feng, D.; Feng, G.; Fernandez-Bermejo, M.; Ferreira, C. T.; Ferrer, J. D.; Forbes, A.; Fouad, R.; Fouad, H. M.; Frisch, T.; Fujii, H.; Fukunaga, S.; Fukunishi, S.; Fulya, H.; Furuhashi, M.; Gaber, Y.; Galang, A. J. G.; Gallardo, J. C.; Galloso, R.; Gamal, M.; Gamal, R.; Gamal, H.; Gan, J.; Ganbold, A.; Gao, X.; Garas, G.; Garba, T.; Garcia-Cortes, M.; Garcia-Monzon, C.; Garcia-Samaniego, J.; Gastaldelli, A.; Gatica, M.; Gatley, E.; Gegeshidze, T.; Geng, B.; Ghazinyan, H.; Ghoneem, S.; Giacomelli, L.; Giannelli, G.; Giannini, E. G.; Giefer, M.; Gines, P.; Girala, M.; Giraudi, P. J.; Goh, G. B. -B.; Gomaa, A. A.; Gong, B.; Gonzales, D. H. C.; Gonzalez, H. C.; Gonzalez-Huezo, M. S.; Graupera, I.; Grgurevic, I.; Gronbaek, H.; Gu, X.; Guan, L.; Gueye, I.; Guingane, A. N.; Gul, O. O.; Gul, C. B.; Guo, Q.; Gupta, P. P.; Gurakar, A.; Gutierrez, J. C. R.; Habib, G.; Hafez, A.; Hagman, E.; Halawa, E.; Hamdy, O.; Hamed, A. E.; Hamed, D. H.; Hamid, S.; Hamoudi, W.; Han, Y.; Haridy, J.; Haridy, H.; Harris, D. C. H. H.; Hart, M.; Hasan, F.; Hashim, A.; Hassan, I.; Hassan, A.; Hassan, E. A.; Hassan, A. A.; Hassan, M. S.; Hassanin, F.; Hassnine, A.; Haukeland, J. W.; Hawal, A. I. M.; He, J.; He, Q.; He, Y.; He, F. -P.; Hegazy, M.; Hegazy, A.; Henegil, O.; Hernandez, N.; Hernandez-Guerra, M.; Higuera-de-la-Tijera, F.; Hindy, I.; Hirota, K.; Ho, L. C.; Hodge, A.; Hosny, M.; Hou, X.; Huang, J. -F.; Huang, Y.; Huang, Z.; Huang, Y.; Huang, A.; Huang, X. -P.; Hui-ping, S.; Hunyady, B.; Hussein, M. A.; Hussein, O.; Hussien, S. M.; Ibanez-Samaniego, L.; Ibdah, J.; Ibrahim, L.; Ibrahim, M.; Ibrahim, I.; Icaza-Chavez, M. E.; Idelbi, S.; Idilman, R. I.; Ikeda, M.; Indolfi, G.; Invernizzi, F.; Irshad, I.; Isa, H. M. A.; Iskandar, N. J.; Ismaiel, A.; Ismail, M.; Ismail, Z.; Ismail, F.; Iwamoto, H.; Jack, K.; Jacob, R.; Jafarov, F.; Jafri, W.; Jahshan, H.; Jalal, P. K.; Jancoriene, L.; Janicko, M.; Jayasena, H.; Jefferies, M.; Jha, V.; Ji, F.; Ji, Y.; Jia, J.; Jiang, C.; Jiang, N.; Jiang, Z. -Z.; Jin, X.; Jin, Y.; Jing, X.; Jingyu, Q.; Jinjolava, M.; Jong, F. H. H.; Jucov, A.; Julius, I.; Kaddah, M.; Kamada, Y.; Kamal, A.; Kamal, E. M.; Kamel, A. S.; Kao, J. -H.; Karin, M.; Karlas, T.; Kashwaa, M.; Katsidzira, L.; Kaya, E.; Kayasseh, M. A.; Keenan, B.; Keklikkiran, C.; Keml, W.; Khalaf, D. K.; Khalefa, R.; Khamis, S.; Khater, D.; Khattab, H.; Khavkin, A.; Khlynova, O.; Khmis, N.; Kobyliak, N.; Koffas, A.; Koike, K.; Kok, K. Y. Y.; Koller, T.; Komas, N. P.; Korochanskaya, N. V.; Koulla, Y.; Koya, S.; Kraft, C.; Kraja, B.; Krawczyk, M.; Kuchay, M. S.; Kulkarni, A. V.; Kumar, A.; Kumar, M.; Lakoh, S.; Lam, P.; Lan, L.; Lange, N. F.; Lankarani, K. B.; Lanthier, N.; Lapshyna, K.; Lashen, S. A.; Laure, K. N. J.; Lazebnik, L.; Lebrec, D.; Lee, S. S.; Lee, W. S.; Lee, Y. Y.; Leeming, D. J.; Leite, N. C.; Leon, R.; Lesmana, C. R. A.; Li, J.; Li, Q.; Li, J.; Li, Y. -Y.; Li, Y.; Li, L.; Li, M.; Li, Y.; Liang, H.; Lijuan, T.; Lim, S. G.; Lim, L. -L.; Lin, S.; Lin, H. -C.; Lin, R.; Lithy, R.; Liu, Y.; Liu, Y.; Liu, X.; Liu, W. -Y.; Liu, S.; Liu, K.; Liu, T.; Lonardo, A.; Lopez, M. B.; Lopez-Benages, E.; Lopez-Jaramillo, P.; Lu, H.; Lu, L. G.; Lu, Y.; Lubel, J.; Lui, R.; Lupasco, I.; Luzina, E.; Lv, X. -H.; Lynch, K.; Ma, H. -L.; Machado, M. V.; Maduka, N.; Madzharova, K.; Magdaong, R.; Mahadeva, S.; Mahfouz, A.; Mahmood, N. R. K. N.; Mahmoud, E.; Mahrous, M.; Maiwall, R.; Majeed, A.; Majumdar, A.; Mak, L.; Maklouf, M. M.; Malekzadeh, R.; Mandato, C.; Mangia, A.; Mann, J.; Mansour, H. H.; Mansouri, A.; Mantovani, A.; Mao, J. Q.; Maramag, F.; Marchesini, G.; Marcus, C.; Marinho, R. A. R. T.; Martinez-Chantar, M. L.; Martins, A. A. S.; Marwan, R.; Mason, K. F.; Masoud, G.; Massoud, M. N.; Matamoros, M. A.; Mateos, R. M.; Mawed, A.; Mbanya, J. C.; Mbendi, C.; Mccolaugh, L.; Mcleod, D.; Medina, J. F. R.; Megahed, A.; Mehrez, M.; Memon, I.; Merat, S.; Mercado, R.; Mesbah,