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Yonemoto N, You Y, Zaman SB, Zamora N, Zare I, Zarea K, Zarrintan A, Zastrozhin MS, Zeru NG, Zhang ZJ, Zhong C, Zhou J, Zielińska M, Zikarg YT, Zodpey S, Zoladl M, Zou Z, Zumla A, Zuniga YMH, Magliano DJ, Murray CJL, Hay SI, Vos T. Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2023; 402:203-234. [PMID: 37356446 PMCID: PMC10364581 DOI: 10.1016/s0140-6736(23)01301-6] [Citation(s) in RCA: 1365] [Impact Index Per Article: 682.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/27/2023]
Abstract
BACKGROUND Diabetes is one of the leading causes of death and disability worldwide, and affects people regardless of country, age group, or sex. Using the most recent evidentiary and analytical framework from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD), we produced location-specific, age-specific, and sex-specific estimates of diabetes prevalence and burden from 1990 to 2021, the proportion of type 1 and type 2 diabetes in 2021, the proportion of the type 2 diabetes burden attributable to selected risk factors, and projections of diabetes prevalence through 2050. METHODS Estimates of diabetes prevalence and burden were computed in 204 countries and territories, across 25 age groups, for males and females separately and combined; these estimates comprised lost years of healthy life, measured in disability-adjusted life-years (DALYs; defined as the sum of years of life lost [YLLs] and years lived with disability [YLDs]). We used the Cause of Death Ensemble model (CODEm) approach to estimate deaths due to diabetes, incorporating 25 666 location-years of data from vital registration and verbal autopsy reports in separate total (including both type 1 and type 2 diabetes) and type-specific models. Other forms of diabetes, including gestational and monogenic diabetes, were not explicitly modelled. Total and type 1 diabetes prevalence was estimated by use of a Bayesian meta-regression modelling tool, DisMod-MR 2.1, to analyse 1527 location-years of data from the scientific literature, survey microdata, and insurance claims; type 2 diabetes estimates were computed by subtracting type 1 diabetes from total estimates. Mortality and prevalence estimates, along with standard life expectancy and disability weights, were used to calculate YLLs, YLDs, and DALYs. When appropriate, we extrapolated estimates to a hypothetical population with a standardised age structure to allow comparison in populations with different age structures. We used the comparative risk assessment framework to estimate the risk-attributable type 2 diabetes burden for 16 risk factors falling under risk categories including environmental and occupational factors, tobacco use, high alcohol use, high body-mass index (BMI), dietary factors, and low physical activity. Using a regression framework, we forecast type 1 and type 2 diabetes prevalence through 2050 with Socio-demographic Index (SDI) and high BMI as predictors, respectively. FINDINGS In 2021, there were 529 million (95% uncertainty interval [UI] 500-564) people living with diabetes worldwide, and the global age-standardised total diabetes prevalence was 6·1% (5·8-6·5). At the super-region level, the highest age-standardised rates were observed in north Africa and the Middle East (9·3% [8·7-9·9]) and, at the regional level, in Oceania (12·3% [11·5-13·0]). Nationally, Qatar had the world's highest age-specific prevalence of diabetes, at 76·1% (73·1-79·5) in individuals aged 75-79 years. Total diabetes prevalence-especially among older adults-primarily reflects type 2 diabetes, which in 2021 accounted for 96·0% (95·1-96·8) of diabetes cases and 95·4% (94·9-95·9) of diabetes DALYs worldwide. In 2021, 52·2% (25·5-71·8) of global type 2 diabetes DALYs were attributable to high BMI. The contribution of high BMI to type 2 diabetes DALYs rose by 24·3% (18·5-30·4) worldwide between 1990 and 2021. By 2050, more than 1·31 billion (1·22-1·39) people are projected to have diabetes, with expected age-standardised total diabetes prevalence rates greater than 10% in two super-regions: 16·8% (16·1-17·6) in north Africa and the Middle East and 11·3% (10·8-11·9) in Latin America and Caribbean. By 2050, 89 (43·6%) of 204 countries and territories will have an age-standardised rate greater than 10%. INTERPRETATION Diabetes remains a substantial public health issue. Type 2 diabetes, which makes up the bulk of diabetes cases, is largely preventable and, in some cases, potentially reversible if identified and managed early in the disease course. However, all evidence indicates that diabetes prevalence is increasing worldwide, primarily due to a rise in obesity caused by multiple factors. Preventing and controlling type 2 diabetes remains an ongoing challenge. It is essential to better understand disparities in risk factor profiles and diabetes burden across populations, to inform strategies to successfully control diabetes risk factors within the context of multiple and complex drivers. FUNDING Bill & Melinda Gates Foundation.
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MA, Geda YF, Gela YY, Gemeda BNB, Getachew M, Getachew ME, Ghaffari K, Ghafourifard M, Ghamari SH, Ghasemi Nour M, Ghassemi F, Ghimire A, Ghith N, Gholamalizadeh M, Gholizadeh Navashenaq J, Ghozy S, Gilani SA, Gill PS, Ginindza TG, Gizaw ATT, Glasbey JC, Godos J, Goel A, Golechha M, Goleij P, Golinelli D, Golitaleb M, Gorini G, Goulart BNG, Grosso G, Guadie HA, Gubari MIM, Gudayu TW, Guerra MR, Gunawardane DA, Gupta B, Gupta S, Gupta VB, Gupta VK, Gurara MK, Guta A, Habibzadeh P, Haddadi Avval A, Hafezi-Nejad N, Hajj Ali A, Haj-Mirzaian A, Halboub ES, Halimi A, Halwani R, Hamadeh RR, Hameed S, Hamidi S, Hanif A, Hariri S, Harlianto NI, Haro JM, Hartono RK, Hasaballah AI, Hasan SMM, Hasani H, Hashemi SM, Hassan AM, Hassanipour S, Hayat K, Heidari G, Heidari M, Heidarymeybodi Z, Herrera-Serna BY, Herteliu C, Hezam K, Hiraike Y, Hlongwa MM, Holla R, Holm M, Horita N, Hoseini M, Hossain MM, Hossain MBH, Hosseini MS, Hosseinzadeh A, Hosseinzadeh M, Hostiuc M, Hostiuc S, Househ M, Huang J, Hugo FN, Humayun A, Hussain S, Hussein NR, Hwang BF, Ibitoye SE, Iftikhar PM, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Immurana M, Innos K, Iranpour P, Irham LM, Islam MS, Islam RM, Islami F, Ismail NE, Isola G, Iwagami M, J LM, Jaiswal A, Jakovljevic M, Jalili M, Jalilian S, Jamshidi E, Jang SI, Jani CT, Javaheri T, Jayarajah UU, Jayaram S, Jazayeri SB, Jebai R, Jemal B, Jeong W, Jha RP, Jindal HA, John-Akinola YO, Jonas JB, Joo T, Joseph N, Joukar F, Jozwiak JJ, Jürisson M, Kabir A, Kacimi SEO, Kadashetti V, Kahe F, Kakodkar PV, Kalankesh LR, Kalankesh LR, Kalhor R, Kamal VK, Kamangar F, Kamath A, Kanchan T, Kandaswamy E, Kandel H, Kang H, Kanno GG, Kapoor N, Kar SS, Karanth SD, Karaye IM, Karch A, Karimi A, Kassa BG, Katoto PDMC, Kauppila JH, Kaur H, Kebede AG, Keikavoosi-Arani L, Kejela GG, Kemp Bohan PM, Keramati M, Keykhaei M, Khajuria H, Khan A, Khan AAK, Khan EA, Khan G, Khan MN, Khan MAB, Khanali J, Khatab K, Khatatbeh MM, Khatib MN, Khayamzadeh M, Khayat Kashani HR, Khazeei Tabari MA, Khezeli M, Khodadost M, Kim MS, Kim YJ, Kisa A, Kisa S, Klugar M, Klugarová J, Kolahi AA, Kolkhir P, Kompani F, Koul PA, Koulmane Laxminarayana SL, Koyanagi A, Krishan K, Krishnamoorthy Y, Kucuk Bicer B, Kugbey N, Kulimbet M, Kumar A, Kumar GA, Kumar N, Kurmi OP, Kuttikkattu A, La Vecchia C, Lahiri A, Lal DK, Lám J, Lan Q, Landires I, Larijani B, Lasrado S, Lau J, Lauriola P, Ledda C, Lee SW, Lee SWH, Lee WC, Lee YY, Lee YH, Legesse SM, Leigh J, Leong E, Li MC, Lim SS, Liu G, Liu J, Lo CH, Lohiya A, Lopukhov PD, Lorenzovici L, Lotfi M, Loureiro JA, Lunevicius R, Madadizadeh F, Mafi AR, Magdeldin S, Mahjoub S, Mahmoodpoor A, Mahmoudi M, Mahmoudimanesh M, Mahumud RA, Majeed A, Majidpoor J, Makki A, Makris KC, Malakan Rad E, Malekpour MR, Malekzadeh R, Malik AA, Mallhi TH, Mallya SD, Mamun MA, Manda AL, Mansour-Ghanaei F, Mansouri B, Mansournia MA, Mantovani LG, Martini S, Martorell M, Masoudi S, Masoumi SZ, Matei CN, Mathews E, Mathur MR, Mathur V, McKee M, Meena JK, Mehmood K, Mehrabi Nasab E, Mehrotra R, Melese A, Mendoza W, Menezes RG, Mengesha SID, Mensah LG, Mentis AFA, Mera-Mamián AYM, Meretoja TJ, Merid MW, Mersha AG, Meselu BT, Meshkat M, Mestrovic T, Miao Jonasson J, Miazgowski T, Michalek IM, Mijena GFW, Miller TR, Mir SA, Mirinezhad SK, Mirmoeeni S, Mirza-Aghazadeh-Attari M, Mirzaei H, Mirzaei HR, Misganaw AS, Misra S, Mohammad KA, Mohammadi E, Mohammadi M, Mohammadian-Hafshejani A, Mohammadpourhodki R, Mohammed A, Mohammed S, Mohan S, Mohseni M, Moka N, Mokdad AH, Molassiotis A, Molokhia M, Momenzadeh K, Momtazmanesh S, Monasta L, Mons U, Montasir AA, Montazeri F, Montero A, Moosavi MA, Moradi A, Moradi Y, Moradi Sarabi M, Moraga P, Morawska L, Morrison SD, Morze J, Mosapour A, Mostafavi E, Mousavi SM, Mousavi Isfahani H, Mousavi Khaneghah A, Mpundu-Kaambwa C, Mubarik S, Mulita F, Munblit D, Munro SB, Murillo-Zamora E, Musa J, Nabhan AF, Nagarajan AJ, Nagaraju SP, Nagel G, Naghipour M, Naimzada MD, Nair TS, Naqvi AA, Narasimha Swamy S, Narayana AI, Nassereldine H, Natto ZS, Nayak BP, Ndejjo R, Nduaguba SO, Negash WW, Nejadghaderi SA, Nejati K, Neupane Kandel S, Nguyen HVN, Niazi RK, Noor NM, Noori M, Noroozi N, Nouraei H, Nowroozi A, Nuñez-Samudio V, Nzoputam CI, Nzoputam OJ, Oancea B, Odukoya OO, Oghenetega OB, Ogunsakin RE, Oguntade AS, Oh IH, Okati-Aliabad H, Okekunle AP, Olagunju AT, Olagunju TO, Olakunde BO, Olufadewa II, Omer E, Omonisi AEE, Ong S, Onwujekwe OE, Orru H, Otstavnov SS, Oulhaj A, Oumer B, Owopetu OF, Oyinloye BE, P A M, Padron-Monedero A, Padubidri JR, Pakbin B, Pakshir K, Pakzad R, Palicz T, Pana A, Pandey A, Pandey A, Pant S, Pardhan S, Park EC, Park EK, Park S, Patel J, Pati S, Paudel R, Paudel U, Paun M, Pazoki Toroudi H, Peng M, Pereira J, Pereira RB, Perna S, Perumalsamy N, Pestell RG, Pezzani R, Piccinelli C, Pillay JD, Piracha ZZ, Pischon T, Postma MJ, Pourabhari Langroudi A, Pourshams A, Pourtaheri N, Prashant A, Qadir MMF, Quazi Syed Z, Rabiee M, Rabiee N, Radfar A, Radhakrishnan RA, Radhakrishnan V, Raeisi M, Rafiee A, Rafiei A, Raheem N, Rahim F, Rahman MO, Rahman M, Rahman MA, Rahmani AM, Rahmani S, Rahmanian V, Rajai N, Rajesh A, Ram P, Ramezanzadeh K, Rana J, Ranabhat K, Ranasinghe P, Rao CR, Rao SJ, Rashedi S, Rashidi A, Rashidi M, Rashidi MM, Ratan ZA, Rawaf DL, Rawaf S, Rawal L, Rawassizadeh R, Razeghinia MS, Rehman AU, Rehman IU, Reitsma MB, Renzaho AMN, Rezaei M, Rezaei N, Rezaei N, Rezaei N, Rezaei S, Rezaeian M, Rezapour A, Riad A, Rikhtegar R, Rios-Blancas M, Roberts TJ, Rohloff P, Romero-Rodríguez E, Roshandel G, Rwegerera GM, S M, Saber-Ayad MM, Saberzadeh-Ardestani B, Sabour S, Saddik B, Sadeghi E, Saeb MR, Saeed U, Safaei M, Safary A, Sahebazzamani M, Sahebkar A, Sahoo H, Sajid MR, Salari H, Salehi S, Salem MR, Salimzadeh H, Samodra YL, Samy AM, Sanabria J, Sankararaman S, Sanmarchi F, Santric-Milicevic MM, Saqib MAN, Sarveazad A, Sarvi F, Sathian B, Satpathy M, Sayegh N, Schneider IJC, Schwarzinger M, Šekerija M, Senthilkumaran S, Sepanlou SG, Seylani A, Seyoum K, Sha F, Shafaat O, Shah PA, Shahabi S, Shahid I, Shahrbaf MA, Shahsavari HR, Shaikh MA, Shaka MF, Shaker E, Shannawaz M, Sharew MMS, Sharifi A, Sharifi-Rad J, Sharma P, Shashamo BB, Sheikh A, Sheikh M, Sheikhbahaei S, Sheikhi RA, Sheikhy A, Shepherd PR, Shetty A, Shetty JK, Shetty RS, Shibuya K, Shirkoohi R, Shirzad-Aski H, Shivakumar KM, Shivalli S, Shivarov V, Shobeiri P, Shokri Varniab Z, Shorofi SA, Shrestha S, Sibhat MM, Siddappa Malleshappa SK, Sidemo NB, Silva DAS, Silva LMLR, Silva Julian G, Silvestris N, Simegn W, Singh AD, Singh A, Singh G, Singh H, Singh JA, Singh JK, Singh P, Singh S, Sinha DN, Sinke AH, Siraj MS, Sitas F, Siwal SS, Skryabin VY, Skryabina AA, Socea B, Soeberg MJ, Sofi-Mahmudi A, Solomon Y, Soltani-Zangbar MS, Song S, Song Y, Sorensen RJD, Soshnikov S, Sotoudeh H, Sowe A, Sufiyan MB, Suk R, Suleman M, Suliankatchi Abdulkader R, Sultana S, Sur D, Szócska M, Tabaeian SP, Tabarés-Seisdedos R, Tabatabaei SM, Tabuchi T, Tadbiri H, Taheri E, Taheri M, Taheri Soodejani M, Takahashi K, Talaat IM, Tampa M, Tan KK, Tat NY, Tat VY, Tavakoli A, Tavakoli A, Tehrani-Banihashemi A, Tekalegn Y, Tesfay FH, Thapar R, Thavamani A, Thoguluva Chandrasekar V, Thomas N, Thomas NK, Ticoalu JHV, Tiyuri A, Tollosa DN, Topor-Madry R, Touvier M, Tovani-Palone MR, Traini E, Tran MTN, Tripathy JP, Ukke GG, Ullah I, Ullah S, Ullah S, Unnikrishnan B, Vacante M, Vaezi M, Valadan Tahbaz S, Valdez PR, Vardavas C, Varthya SB, Vaziri S, Velazquez DZ, Veroux M, Villeneuve PJ, Violante FS, Vladimirov SK, Vlassov V, Vo B, Vu LG, Wadood AW, Waheed Y, Walde MT, Wamai RG, Wang C, Wang F, Wang N, Wang Y, Ward P, Waris A, Westerman R, Wickramasinghe ND, Woldemariam M, Woldu B, Xiao H, Xu S, Xu X, Yadav L, Yahyazadeh Jabbari SH, Yang L, Yazdanpanah F, Yeshaw Y, Yismaw Y, Yonemoto N, Younis MZ, Yousefi Z, Yousefian F, Yu C, Yu Y, Yunusa I, Zahir M, Zaki N, Zaman BA, Zangiabadian M, Zare F, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zeineddine MA, Zhang D, Zhang J, Zhang Y, Zhang ZJ, Zhou L, Zodpey S, Zoladl M, Vos T, Hay SI, Force LM, Murray CJL. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the Global Burden of Disease Study 2019. Lancet 2022; 400:563-591. [PMID: 35988567 PMCID: PMC9395583 DOI: 10.1016/s0140-6736(22)01438-6] [Citation(s) in RCA: 310] [Impact Index Per Article: 103.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Revised: 05/13/2022] [Accepted: 07/28/2022] [Indexed: 02/06/2023]
Abstract
BACKGROUND Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. METHODS The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. FINDINGS Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). INTERPRETATION The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. FUNDING Bill & Melinda Gates Foundation.
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Gardner WM, Razo C, McHugh TA, Hagins H, Vilchis-Tella VM, Hennessy C, Taylor HJ, Perumal N, Fuller K, Cercy KM, Zoeckler LZ, Chen CS, Lim SS, Aali A, Abate KH, Abd-Elsalam S, Abdurehman AM, Abebe G, Abidi H, Aboagye RG, Abolhassani H, Aboye GBA, Abtew YD, Accrombessi MMK, Adane DEA, Adane TD, Addo IY, Adesina MA, Adeyinka DA, Adnani QES, Afzal MS, Afzal S, Agustina R, Ahinkorah BO, Ahmad A, Ahmad S, Ahmadi S, Ahmed A, Ahmed Rashid T, Aiman W, Ajami M, Akbarialiabad H, Alahdab F, Al-Aly Z, Alam N, Alemayehu A, Alhassan RK, Ali MA, Almustanyir S, Al-Raddadi RM, Al-Rifai RH, Altirkawi KA, Alvand S, Alvis-Guzman N, Amer YSAD, Ameyaw EK, Amu H, Anagaw TF, Ancuceanu R, Anoushirvani AA, Antwi MH, Anvari D, Arabloo J, Aravkin AY, Ariffin H, Aripov T, Arja A, Arndt MB, Arulappan J, Aruleba RT, Ashraf T, Asresie MB, Athari SS, Atlaw D, Aujayeb A, Awoke AA, Awoke MA, Azadnajafabad S, Azangou-Khyavy M, B DB, Badawi A, Badiye AD, Baghcheghi N, Bagheri N, Bagherieh S, Baig AA, Banach M, Banik PC, Bantie AT, Barr RD, Barrow A, Bashiri A, Basu S, Batiha AMM, Begum T, Belete MA, Belo L, Bensenor IM, Berhie AY, Bhagavathula AS, Bhardwaj N, Bhardwaj P, Bhat AN, Bhutta ZA, Bikbov B, Billah SM, Birara S, Bishai JD, Bitaraf S, Boloor A, Botelho JSB, Burkart K, Calina D, Cembranel F, Chakraborty PA, Chanie GS, Chattu VK, Chien JH, Chukwu IS, Chung E, Criqui MH, Cruz-Martins N, Dadras O, Dagnew GW, Dai X, Danawi HA, Dandona L, Dandona R, Darwesh AM, Das JK, Das S, De la Cruz-Góngora V, Demisse FW, Demissie S, Demsie DG, Desai HD, Desalegn MD, Dessalegn FN, Dessie G, Dharmaratne SD, Dhimal M, Dhingra S, Diaz D, Didehdar M, Dirac MA, Diress M, Doaei S, Dodangeh M, Doku PN, Dongarwar D, Dora BT, Dsouza HL, Edinur HA, Ekholuenetale M, Elagali AEM, Elbahnasawy MA, Elbarazi I, ElGohary GMT, Elhadi M, El-Huneidi W, Elmonem MA, Enyew DB, Eshetu HB, Ewald SB, Ezzeddini R, Fagbamigbe AF, Fasanmi AO, Fatehizadeh A, Fekadu G, Feyisa BR, Fischer F, Fitzgerald R, Foroutan M, Fowobaje KR, Gadanya MA, Gaidhane AM, Gaihre S, Gaipov A, Galali Y, Galehdar N, Garg P, Garg T, Gebremariam YH, Gebremedhin KB, Gebremichael B, Gela YY, Gerema U, Getacher L, Ghaffari K, Ghafourifard M, Ghamari SH, Ghasemi Nour M, Ghashghaee A, Gholamalizadeh M, Ghozy S, Gizaw ATT, Glasbey JC, Golechha M, Goleij P, Golitaleb M, Goulart AC, Goyomsa GG, Guadie HA, Gubari MIM, Gudisa Z, Gunawardane DA, Gupta R, Gupta RD, Gupta S, Gupta VK, Guta A, Habibzadeh P, Hamidi S, Handal AJ, Hanif A, Hannan MA, Harapan H, Harorani M, Hasaballah AI, Hasan MM, Hasani H, Hassankhani H, Hassen MB, Hay SI, Hayat K, Heidari G, Hess SY, Heyi DZ, Hezam K, Hiraike Y, Holla R, Hossain SJ, Hosseini K, Hosseini MS, Hosseinzadeh M, Hostiuc M, Hostiuc S, Huang J, Hussain S, Hussien FM, Ibitoye SE, Ilesanmi OS, Ilic IM, Immurana M, Inbaraj LR, Islam SMS, Ismail NE, J LM, Jamshidi E, Janodia MD, Jayarajah U, Jayaram S, Jebai R, Jemal B, Jeyakumar A, Jha RP, Jonas JB, Joseph N, Jozwiak JJ, Kabir A, Kalankesh LR, Kalhor R, Kamal VK, Kandel H, Kanko TK, Karaye IM, Kashoo FZ, Katoto PDMC, Kauppila JH, Kaur H, Kayode GA, Kebede AD, Keshri VR, Keykhaei M, Khader YS, Khajuria H, Khalid N, Khammarnia M, Khan IA, Khan MAB, Khatab K, Khazaei Z, Khubchandani J, Kim YJ, Kimokoti RW, Kisa S, Kompani F, Kosen S, Koulmane Laxminarayana SL, Krishan K, Kuate Defo B, Kuddus M, Kumar GA, Kumar N, Kumar N, Kurmi OP, Kuti O, Lal DK, Landires I, Larsson AO, Lassi ZS, Latief K, Laxmaiah A, Ledda C, Lee SW, Legesse SM, Liu X, Lorenzovici L, Machado VSM, Mahajan PB, Mahjoub S, Mahmoodpoor A, Mahmoudi E, Malakan Rad E, Mallhi TH, Malta DC, Masoudi S, Masoumi SZ, Medina JRC, Mejia-Rodriguez F, Mendes JJM, Mendoza W, Mendoza-Cano O, Mentis AFA, Meresa HA, Mestrovic T, Miazgowski T, Mirghafourvand M, Mirica A, Mirza M, Misganaw A, Misra S, Mohammad DK, Mohammadi S, Mohammed S, Mohan S, Moka N, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Moosavi D, Moradi M, Mosapour A, Mostafavi E, Muche T, Mulita F, Mulu GB, Murray CJL, Musina AM, Mustafa G, Nagarajan AJ, Nair TS, Narasimha Swamy S, Nassereldine H, Natto ZS, Nayak BP, Naz S, Negoi I, Negoi RI, Nguefack-Tsague G, Ngunjiri JW, Niazi RK, Noori M, Nowroozi A, Nurrika D, Nuruzzaman KM, Nzoputam OJ, Oancea B, Obaidur RM, Obsa MMSS, Odhiambo JN, Ogunsakin RE, Okati-Aliabad H, Okonji OC, Oladunjoye AO, Oladunjoye OO, Olagunju AT, Olufadewa II, Omar Bali A, Omonisi AEE, Ortiz A, Owolabi MO, Padubidri JR, Pakzad R, Palicz T, Pandey A, Pandya AK, Papadopoulou P, Pardhan S, Patel J, Pathak A, Pathan AR, Paudel R, Paudel U, Pawar S, Pereira G, Perico N, Perna S, Perumalsamy N, Petcu IR, Pickering BV, Piracha ZZ, Pollok RCG, Pradhan PMS, Prashant A, Qattea I, Quazi Syed Z, Rahim F, Rahimi M, Rahman A, Rahman MHU, Rahman M, Rahmani AM, Rahmani S, Rai RK, Raimondo I, Rajaa S, Ram P, Rana J, Ranjha MMAN, Rao CR, Rao SJ, Rashedi S, Rashidi MM, Rawaf S, Rawal L, Raza RZ, Redwan EMM, Remuzzi G, Rezaei M, Rezaei N, Rezaei N, Richards T, Rickard J, Rodriguez JAB, Roever L, Roshandel G, Roy B, Rwegerera GM, Saad AMA, Sabour S, Saddik B, Sadeghi M, Sadeghian S, Saeed U, Sahebkar A, Sahoo H, Salem MR, Samy AM, Sankararaman S, Santoro R, Santos IS, Satpathy M, Saya GK, Seboka BT, Senbeta AM, Senthilkumaran S, Seylani A, Shafeghat M, Shah PA, Shaikh MA, Shanawaz M, Shannawaz M, Sharew MMS, Sharma P, Sheikhi RA, Shenoy SM, Shetty A, Shetty BSK, Shetty JK, Shetty PH, Shin JI, Shivalli S, Shivarov V, Shobeiri P, Shorofi SA, Sikder MK, Sima AR, Simegn W, Singh JA, Singh NP, Singh P, Singh S, Siraj MS, Sisay Y, Skryabina AA, Solomon Y, Song Y, Sorensen RJD, Stanaway JD, Suchdev PS, Sufiyan MB, Sultana S, Szeto MD, Tabaeian SP, Tahamtan A, Taheri M, Taheri Soodejani M, Tamir Z, Tan KK, Tariqujjaman M, Tarkang EE, Tat NY, Tefera YM, Temsah MH, Thapar R, Thiyagarajan A, Ticoalu JHV, Tigabu BM, Tiyuri A, Tobe-Gai R, Tovani-Palone MR, Tran MTN, Tusa BS, Ullah I, Umer AA, Unnikrishnan B, Vacante M, Valadan Tahbaz S, Valdez PR, Vart P, Varthya SB, Vaziri S, Verma MV, Veroux M, Vervoort D, Vu LG, Wagaye B, Weldegebreal F, Wickramasinghe ND, Woldemariam M, Wonde TE, Wubetie GA, Xu X, Yari K, Yazdanpanah F, Yehualashet SS, Yigit A, Yiğit V, Yisihak E, Yon DK, Yonemoto N, Young MF, Yu C, Yunusa I, Zahir M, Zaki L, Zaman BA, Zamora N, Zare I, Zareshahrabadi Z, Zenebe GA, Zhang ZJ, Zheng P, Zoladl M, Kassebaum NJ. Prevalence, years lived with disability, and trends in anaemia burden by severity and cause, 1990-2021: findings from the Global Burden of Disease Study 2021. Lancet Haematol 2023; 10:e713-e734. [PMID: 37536353 PMCID: PMC10465717 DOI: 10.1016/s2352-3026(23)00160-6] [Citation(s) in RCA: 126] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 08/05/2023]
Abstract
BACKGROUND Anaemia is a major health problem worldwide. Global estimates of anaemia burden are crucial for developing appropriate interventions to meet current international targets for disease mitigation. We describe the prevalence, years lived with disability, and trends of anaemia and its underlying causes in 204 countries and territories. METHODS We estimated population-level distributions of haemoglobin concentration by age and sex for each location from 1990 to 2021. We then calculated anaemia burden by severity and associated years lived with disability (YLDs). With data on prevalence of the causes of anaemia and associated cause-specific shifts in haemoglobin concentrations, we modelled the proportion of anaemia attributed to 37 underlying causes for all locations, years, and demographics in the Global Burden of Disease Study 2021. FINDINGS In 2021, the global prevalence of anaemia across all ages was 24·3% (95% uncertainty interval [UI] 23·9-24·7), corresponding to 1·92 billion (1·89-1·95) prevalent cases, compared with a prevalence of 28·2% (27·8-28·5) and 1·50 billion (1·48-1·52) prevalent cases in 1990. Large variations were observed in anaemia burden by age, sex, and geography, with children younger than 5 years, women, and countries in sub-Saharan Africa and south Asia being particularly affected. Anaemia caused 52·0 million (35·1-75·1) YLDs in 2021, and the YLD rate due to anaemia declined with increasing Socio-demographic Index. The most common causes of anaemia YLDs in 2021 were dietary iron deficiency (cause-specific anaemia YLD rate per 100 000 population: 422·4 [95% UI 286·1-612·9]), haemoglobinopathies and haemolytic anaemias (89·0 [58·2-123·7]), and other neglected tropical diseases (36·3 [24·4-52·8]), collectively accounting for 84·7% (84·1-85·2) of anaemia YLDs. INTERPRETATION Anaemia remains a substantial global health challenge, with persistent disparities according to age, sex, and geography. Estimates of cause-specific anaemia burden can be used to design locally relevant health interventions aimed at improving anaemia management and prevention. FUNDING Bill & Melinda Gates Foundation.
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Wunrow HY, Bender RG, Vongpradith A, Sirota SB, Swetschinski LR, Novotney A, Gray AP, Ikuta KS, Sharara F, Wool EE, Aali A, Abd-Elsalam S, Abdollahi A, Abdul Aziz JM, Abidi H, Aboagye RG, Abolhassani H, Abu-Gharbieh E, Adamu LH, Adane TD, Addo IY, Adegboye OA, Adekiya TA, Adnan M, Adnani QES, Afzal S, Aghamiri S, Aghdam ZB, Agodi A, Ahinkorah BO, Ahmad A, Ahmad S, Ahmadzade M, Ahmed A, Ahmed A, Ahmed JQ, Ahmed MS, Akinosoglou K, Aklilu A, Akonde M, Alahdab F, AL-Ahdal TMA, Alanezi FM, Albelbeisi AH, Alemayehu TBB, Alene KA, Al-Eyadhy A, Al-Gheethi AAS, Ali A, Ali BA, Ali L, Ali SS, Alimohamadi Y, Alipour V, Aljunid SM, Almustanyir S, Al-Raddadi RM, Alvis-Guzman N, Al-Worafi YM, Aly H, Ameyaw EK, Ancuceanu R, Ansar A, Ansari G, Anyasodor AE, Arabloo J, Aravkin AY, Areda D, Artamonov AA, Arulappan J, Aruleba RT, Asaduzzaman M, Atalell KA, Athari SS, Atlaw D, Atout MMW, Attia S, Awoke T, Ayalew MK, Ayana TM, Ayele AD, Azadnajafabad S, Azizian K, Badar M, Badiye AD, Baghcheghi N, Bagheri M, Bagherieh S, Bahadory S, Baig AA, Barac A, Barati S, Bardhan M, Basharat Z, Bashiri A, Basnyat B, Bassat Q, Basu S, Bayileyegn NS, Bedi N, Behnoush AH, Bekel AA, Belete MA, Bello OO, Bhagavathula AS, Bhandari D, Bhardwaj P, Bhaskar S, Bhat AN, Bijani A, Bineshfar N, Boloor A, Bouaoud S, Buonsenso D, Burkart K, Cámera LA, Castañeda-Orjuela CA, Cernigliaro A, Charan J, Chattu VK, Ching PR, Chopra H, Choudhari SG, Christopher DJ, Chu DT, Couto RAS, Cruz-Martins N, Dadras O, Dai X, Dandona L, Dandona R, Das S, Dash NR, Dashti M, De la Hoz FP, Debela SA, Dejen D, Dejene H, Demeke D, Demeke FM, Demessa BH, Demetriades AK, Demissie S, Dereje D, Dervišević E, Desai HD, Dessie AM, Desta F, Dhama K, Djalalinia S, Do TC, Dodangeh M, Dodangeh M, Dominguez RMV, Dongarwar D, Dsouza HL, Durojaiye OC, Dziedzic AM, Ekat MH, Ekholuenetale M, Ekundayo TC, El Sayed Zaki M, El-Abid H, Elhadi M, El-Hajj VG, El-Huneidi W, El-Sakka AA, Esayas HL, Fagbamigbe AF, Falahi S, Fares J, Fatehizadeh A, Fatima SAF, Feasey NA, Fekadu G, Fetensa G, Feyissa D, Fischer F, Foroutan B, Gaal PA, Gadanya MA, Gaipov A, Ganesan B, Gebrehiwot M, Gebrekidan KG, Gebremeskel TG, Gedef GM, Gela YY, Gerema U, Gessner BD, Getachew ME, Ghadiri K, Ghaffari K, Ghamari SH, Ghanbari R, Ghazy RMM, Ghozali G, Gizaw ABAB, Glushkova EV, Goldust M, Golechha M, Guadie HA, Guled RA, Gupta M, Gupta S, Gupta VB, Gupta VK, Gupta VK, Hadi NR, Haj-Mirzaian A, Haller S, Hamidi S, Haque S, Harapan H, Hasaballah AI, Hasan I, Hasani H, Hasanian M, Hassankhani H, Hassen MB, Hayat K, Heidari M, Heidari-Foroozan M, Heidari-Soureshjani R, Hezam K, Holla R, Horita N, Hossain MM, Hosseini MS, Hosseinzadeh M, Hostiuc S, Hussain S, Hussein NR, Ibitoye SE, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Iregbu KC, Ismail NE, Iwu CCD, Jaja C, Jakovljevic M, Jamshidi E, Javadi Mamaghani A, Javidnia J, Jokar M, Jomehzadeh N, Joseph N, Joshua CE, Jozwiak JJ, Kabir Z, Kalankesh LR, Kalhor R, Kamal VK, Kandel H, Karaye IM, Karch A, Karimi H, Kaur H, Kaur N, Keykhaei M, Khajuria H, Khalaji A, Khan A, Khan IA, Khan M, Khan T, Khatab K, Khatatbeh MM, Khayat Kashani HR, Khubchandani J, Kim MS, Kisa A, Kisa S, Kompani F, Koohestani HR, Kothari N, Krishan K, Krishnamoorthy Y, Kulimbet M, Kumar M, Kumaran SD, Kuttikkattu A, Kwarteng A, Laksono T, Landires I, Laryea DO, Lawal BK, Le TTT, Ledda C, Lee SW, Lee S, Lema GK, Levi M, Lim SS, Liu X, Lopes G, Lutzky Saute R, Machado Teixeira PH, Mahmoodpoor A, Mahmoud MA, Malakan Rad E, Malhotra K, Malik AA, Martinez-Guerra BA, Martorell M, Mathur V, Mayeli M, Medina JRC, Melese A, Memish ZA, Mentis AFA, Merza MA, Mestrovic T, Michalek IM, Minh LHN, Mirahmadi A, Mirmosayyeb O, Misganaw A, Misra AK, Moghadasi J, Mohamed NS, Mohammad Y, Mohammadi E, Mohammed S, Mojarrad Sani M, Mojiri-forushani H, Mokdad AH, Momtazmanesh S, Monasta L, Moni MA, Mossialos E, Mostafavi E, Motaghinejad M, Mousavi Khaneghah A, Mubarik S, Muccioli L, Muhammad JS, Mulita F, Mulugeta T, Murillo-Zamora E, Mustafa G, Muthupandian S, Nagarajan AJ, Nainu F, Nair TS, Nargus S, Nassereldine H, Natto ZS, Nayak BP, Negoi I, Negoi RI, Nejadghaderi SA, Nguyen HQ, Nguyen PT, Nguyen VT, Niazi RK, Noroozi N, Nouraei H, Nuñez-Samudio V, Nuruzzaman KM, Nwatah VE, Nzoputam CI, Nzoputam OJ, Oancea B, Obaidur RM, Odetokun IA, Ogunsakin RE, Okonji OC, Olagunju AT, Olana LT, Olufadewa II, Oluwafemi YD, Oumer KS, Ouyahia A, P A M, Pakshir K, Palange PN, Pardhan S, Parikh RR, Patel J, Patel UK, Patil S, Paudel U, Pawar S, Pensato U, Perdigão J, Pereira M, Peres MFP, Petcu IR, Pinheiro M, Piracha ZZ, Pokhrel N, Postma MJ, Prates EJS, Qattea I, Raghav PR, Rahbarnia L, Rahimi-Movaghar V, Rahman M, Rahman MA, Rahmanian V, Rahnavard N, Ramadan H, Ramasubramani P, Rani U, Rao IR, Rapaka D, Ratan ZA, Rawaf S, Redwan EMM, Reiner Jr RC, Rezaei N, Riad A, Ribeiro da Silva TM, Roberts T, Robles Aguilar G, Rodriguez JAB, Rosenthal VD, Saddik B, Sadeghian S, Saeed U, Safary A, Saheb Sharif-Askari F, Saheb Sharif-Askari N, Sahebkar A, Sahu M, Sajedi SA, Saki M, Salahi S, Salahi S, Saleh MA, Sallam M, Samadzadeh S, Samy AM, Sanjeev RK, Satpathy M, Seylani A, Sha'aban A, Shafie M, Shah PA, Shahrokhi S, Shahzamani K, Shaikh MA, Sham S, Shannawaz M, Sheikh A, Shenoy SM, Shetty PH, Shin JI, Shokri F, Shorofi SA, Shrestha S, Sibhat MM, Siddig EE, Silva LMLR, Singh H, Singh JA, Singh P, Singh S, Sinto R, Skryabina AA, Socea B, Sokhan A, Solanki R, Solomon Y, Sood P, Soshnikov S, Stergachis A, Sufiyan MB, Suliankatchi Abdulkader R, Sultana A, T Y SS, Taheri E, Taki E, Tamuzi JJLL, Tan KK, Tat NY, Temsah MH, Terefa DR, Thangaraju P, Tibebu NS, Ticoalu JHV, Tillawi T, Tincho MB, Tleyjeh II, Toghroli R, Tovani-Palone MR, Tufa DG, Turner P, Ullah I, Umeokonkwo CD, Unnikrishnan B, Vahabi SM, Vaithinathan AG, Valizadeh R, Varthya SB, Vos T, Waheed Y, Walde MT, Wang C, Weerakoon KG, Wickramasinghe ND, Winkler AS, Woldemariam M, Worku NA, Wright C, Yada DY, Yaghoubi S, Yahya GATY, Yenew CYY, Yesiltepe M, Yi S, Yiğit V, You Y, Yusuf H, Zakham F, Zaman M, Zaman SB, Zare I, Zareshahrabadi Z, Zarrintan A, Zastrozhin MS, Zhang H, Zhang J, Zhang ZJ, Zheng P, Zoladl M, Zumla A, Hay SI, Murray CJL, Naghavi M, Kyu HH. Global, regional, and national burden of meningitis and its aetiologies, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol 2023; 22:685-711. [PMID: 37479374 PMCID: PMC10356620 DOI: 10.1016/s1474-4422(23)00195-3] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/28/2023] [Accepted: 05/05/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Although meningitis is largely preventable, it still causes hundreds of thousands of deaths globally each year. WHO set ambitious goals to reduce meningitis cases by 2030, and assessing trends in the global meningitis burden can help track progress and identify gaps in achieving these goals. Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we aimed to assess incident cases and deaths due to acute infectious meningitis by aetiology and age from 1990 to 2019, for 204 countries and territories. METHODS We modelled meningitis mortality using vital registration, verbal autopsy, sample-based vital registration, and mortality surveillance data. Meningitis morbidity was modelled with a Bayesian compartmental model, using data from the published literature identified by a systematic review, as well as surveillance data, inpatient hospital admissions, health insurance claims, and cause-specific meningitis mortality estimates. For aetiology estimation, data from multiple causes of death, vital registration, hospital discharge, microbial laboratory, and literature studies were analysed by use of a network analysis model to estimate the proportion of meningitis deaths and cases attributable to the following aetiologies: Neisseria meningitidis, Streptococcus pneumoniae, Haemophilus influenzae, group B Streptococcus, Escherichia coli, Klebsiella pneumoniae, Listeria monocytogenes, Staphylococcus aureus, viruses, and a residual other pathogen category. FINDINGS In 2019, there were an estimated 236 000 deaths (95% uncertainty interval [UI] 204 000-277 000) and 2·51 million (2·11-2·99) incident cases due to meningitis globally. The burden was greatest in children younger than 5 years, with 112 000 deaths (87 400-145 000) and 1·28 million incident cases (0·947-1·71) in 2019. Age-standardised mortality rates decreased from 7·5 (6·6-8·4) per 100 000 population in 1990 to 3·3 (2·8-3·9) per 100 000 population in 2019. The highest proportion of total all-age meningitis deaths in 2019 was attributable to S pneumoniae (18·1% [17·1-19·2]), followed by N meningitidis (13·6% [12·7-14·4]) and K pneumoniae (12·2% [10·2-14·3]). Between 1990 and 2019, H influenzae showed the largest reduction in the number of deaths among children younger than 5 years (76·5% [69·5-81·8]), followed by N meningitidis (72·3% [64·4-78·5]) and viruses (58·2% [47·1-67·3]). INTERPRETATION Substantial progress has been made in reducing meningitis mortality over the past three decades. However, more meningitis-related deaths might be prevented by quickly scaling up immunisation and expanding access to health services. Further reduction in the global meningitis burden should be possible through low-cost multivalent vaccines, increased access to accurate and rapid diagnostic assays, enhanced surveillance, and early treatment. FUNDING Bill & Melinda Gates Foundation.
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Systematic Review |
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Abduljaleel Z, Al-Allaf FA, Khan W, Athar M, Shahzad N, Taher MM, Elrobh M, Alanazi MS, El-Huneidi W. Evidence of trem2 variant associated with triple risk of Alzheimer's disease. PLoS One 2014; 9:e92648. [PMID: 24663666 PMCID: PMC3963925 DOI: 10.1371/journal.pone.0092648] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2013] [Accepted: 02/25/2014] [Indexed: 12/27/2022] Open
Abstract
Alzheimer's disease is one of the main causes of dementia among elderly individuals and leads to the neurodegeneration of different areas of the brain, resulting in memory impairments and loss of cognitive functions. Recently, a rare variant that is associated with 3-fold higher risk of Alzheimer's disease onset has been found. The rare variant discovered is a missense mutation in the loop region of exon 2 of Trem2 (rs75932628-T, Arg47His). The aim of this study was to investigate the evidence for potential structural and functional significance of Trem2 gene variant (Arg47His) through molecular dynamics simulations. Our results showed the alteration caused due to the variant in TREM2 protein has significant effect on the ligand binding affinity as well as structural configuration. Based on molecular dynamics (MD) simulation under salvation, the results confirmed that native form of the variant (Arg47His) might be responsible for improved compactness, hence thereby improved protein folding. Protein simulation was carried out at different temperatures. At 300K, the deviation of the theoretical model of TREM2 protein increased from 2.0 Å at 10 ns. In contrast, the deviation of the Arg47His mutation was maintained at 1.2 Å until the end of the simulation (t = 10 ns), which indicated that Arg47His had reached its folded state. The mutant residue was a highly conserved region and was similar to "immunoglobulin V-set" and "immunoglobulin-like folds". Taken together, the result from this study provides a biophysical insight on how the studied variant could contribute to the genetic susceptibility to Alzheimer's disease.
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Research Support, Non-U.S. Gov't |
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El-Huneidi W, Bajbouj K, Muhammad JS, Vinod A, Shafarin J, Khoder G, Saleh MA, Taneera J, Abu-Gharbieh E. Carnosic Acid Induces Apoptosis and Inhibits Akt/mTOR Signaling in Human Gastric Cancer Cell Lines. Pharmaceuticals (Basel) 2021; 14:ph14030230. [PMID: 33800129 PMCID: PMC7998299 DOI: 10.3390/ph14030230] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 02/23/2021] [Accepted: 03/03/2021] [Indexed: 12/15/2022] Open
Abstract
Gastric cancer is among the most common malignancies worldwide. Due to limited availability of therapeutic options, there is a constant need to find new therapies that could target advanced, recurrent, and metastatic gastric cancer. Carnosic acid is a naturally occurring polyphenolic abietane diterpene derived from Rosmarinus officinalis and reported to have numerous pharmacological effects. In this study, the cytotoxicity assay, Annexin V-FITC/PI, caspases 3, 8, and 9, cell cycle analysis, and Western blotting were used to assess the effect of carnosic acid on the growth and survival of human gastric cancer cell lines (AGS and MKN-45). Our findings showed that carnosic acid inhibited human gastric cancer cell proliferation and survival in a dose-dependent manner. Additionally, carnosic acid is found to inhibit the phosphorylation/activation of Akt and mTOR. Moreover, carnosic acid enhanced the cleavage of PARP and downregulated survivin expression, both being known markers of apoptosis. In conclusion, carnosic acid exhibits antitumor activity against human gastric cancer cells via modulating the Akt-mTOR signaling pathway that plays a crucial role in gastric cancer cell proliferation and survival.
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Journal Article |
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Shattat G, Al-Qirim T, Sweidan K, Shahwan M, El-Huneidi W, Al-Hiari Y. The hypolipidemic activity of novel benzofuran-2-carboxamide derivatives in Triton WR-1339-induced hyperlipidemic rats: a comparison with bezafibrate. J Enzyme Inhib Med Chem 2010; 25:751-5. [PMID: 20590406 DOI: 10.3109/14756360903389880] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Using Triton WR-1339-induced hyperlipidemic rats as an experimental model, we investigated whether compound 4 [N-(9,10-dihydro-9,10-dioxoanthracen-2-yl)benzofuran-2-carboxamide] and compound 5 [N-(4-benzoylphenyl)benzofuran-2-carboxamide], two novel anti-hyperlipidemic agents, have any effect on plasma triglyceride (TG), total cholesterol (TC), and high-density lipoprotein cholesterol levels (HDL-C) levels. The tested animals were divided into control (CG), hyperlipidemic (HG), and compounds 4, 5, and bezafibrate (BF) treated groups. At a dose of 15 mg/kg body weight, compounds 4, 5, and BF significantly reduced elevated plasma TG levels after 7 and 24 h. Furthermore, HDL-C levels were remarkably increased in all treated groups after 7 and 24 h compared to the hyperlipidemic control group. However, only compounds 4 and 5 treated groups clearly showed a significant reduction in plasma total cholesterol levels after 7 and 24 h. It is therefore reasonable to assume that compounds 4 and 5 may have promising potential in the treatment of hyperlipidemia and atherosclerosis.
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Research Support, Non-U.S. Gov't |
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Al-Qirim T, Shattat G, Sweidan K, El-Huneidi W, Sheikha GA, Khalaf RA, Hikmat S. In Vivo Antihyperlipidemic Activity of a New Series of N-(Benzoylphenyl) and N-(Acetylphenyl)-1-benzofuran-2-carboxamides in Rats. Arch Pharm (Weinheim) 2012; 345:401-6. [DOI: 10.1002/ardp.201100225] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2011] [Revised: 11/14/2011] [Accepted: 11/25/2011] [Indexed: 11/07/2022]
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Semreen MH, Alniss H, Cacciatore S, El-Awady R, Mousa M, Almehdi AM, El-Huneidi W, Zerbini L, Soares NC. GC-MS based comparative metabolomic analysis of MCF-7 and MDA-MB-231 cancer cells treated with Tamoxifen and/or Paclitaxel. J Proteomics 2020; 225:103875. [PMID: 32534214 DOI: 10.1016/j.jprot.2020.103875] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 05/31/2020] [Accepted: 06/06/2020] [Indexed: 12/16/2022]
Abstract
Breast cancer cells MCF-7 and MDA-MB-231 were treated with Tamoxifen (5 μM) or Paclitaxel (1 μM) or with a combination of the two drugs. Herein, we have employed gas chromatography coupled with mass spectroscopy to identify metabolic changes occurring as response to different drug treatments. We report the identification of sixty-one metabolites and overall the two studied cell lines showed a distinct metabolomic profile from each other. Further data analysis indicates that a total of 30 metabolites were significantly differentially abundant in MCF-7 drug-treated cells, most of the metabolic changes occurred when cells were treated with either Tamoxifen (15) or Paclitaxel (25). On the other side, a total of 31 metabolites were significantly differentially abundant in MDA-MB-31 cells with drug treatment. Similarly, to MCF-7 most of the metabolic changes occurred when cells were treated with either Tamoxifen (19) or Paclitaxel (20). In conclusion, this report demonstrates that Tamoxifen and/or Paclitaxel treatment have a pronounced effect on the main metabolic pathways in both breast cancer (BC) cell lines (MCF-7 and MDA-MB231), which could be used as a foundation for future investigations to understand the possible effect of these drugs on different metabolic pathways. SIGNIFICANCE: Metabolic profiling of cancer cells is a promising tool in tumor diagnosis, biomarker discovery and drug treatment protocols, since cancer cells exhibit altered metabolism when compared to normal cells. Although numerous studies have reported the use of various OMICs applications to investigate breast cancer cells, very few of these have performed thorough screening of metabolites in such cells. Our investigation highlights the first study to characterize MCF7 and MDA-MB-231 cancer cells treated with Tamoxifen and/or Paclitaxel and to identify the affected metabolic pathways. Such findings might play an important role in revealing the molecular bases of the underlying mechanism of action of these two frontline anti-breast cancer drugs.
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Research Support, Non-U.S. Gov't |
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El-Huneidi W, Anjum S, Mohammed AK, Unnikannan H, Saeed R, Bajbouj K, Abu-Gharbieh E, Taneera J. Copine 3 "CPNE3" is a novel regulator for insulin secretion and glucose uptake in pancreatic β-cells. Sci Rep 2021; 11:20692. [PMID: 34667273 PMCID: PMC8526566 DOI: 10.1038/s41598-021-00255-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/01/2021] [Indexed: 12/18/2022] Open
Abstract
Copine 3 (CPNE3) is a calcium-dependent phospholipid-binding protein that has been found to play an essential role in cancer progression and stages. However, its role in pancreatic β-cell function has not been investigated. Therefore, we performed a serial of bioinformatics and functional experiments to explore the potential role of Cpne3 on insulin secretion and β-cell function in human islets and INS-1 (832/13) cells. RNA sequencing and microarray data revealed that CPNE3 is highly expressed in human islets compared to other CPNE genes. In addition, expression of CPNE3 was inversely correlated with HbA1c and reduced in human islets from hyperglycemic donors. Silencing of Cpne3 in INS-1 cells impaired glucose-stimulated insulin secretion (GSIS), insulin content and glucose uptake efficiency without affecting cell viability or inducing apoptosis. Moreover, mRNA and protein expression of the key regulators in glucose sensing and insulin secretion (Insulin, GLUT2, NeuroD1, and INSR) were downregulated in Cpne3-silenced cells. Taken together, data from the present study provides a new understanding of the role of CPNE3 in maintaining normal β-cell function, which might contribute to developing a novel target for future management of type 2 diabetes therapy.
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Abufares HI, Oyoun Alsoud L, Alqudah MAY, Shara M, Soares NC, Alzoubi KH, El-Huneidi W, Bustanji Y, Soliman SSM, Semreen MH. COVID-19 Vaccines, Effectiveness, and Immune Responses. Int J Mol Sci 2022; 23:15415. [PMID: 36499742 PMCID: PMC9737588 DOI: 10.3390/ijms232315415] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/24/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022] Open
Abstract
The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has captivated the globe's attention since its emergence in 2019. This highly infectious, spreadable, and dangerous pathogen has caused health, social, and economic crises. Therefore, a worldwide collaborative effort was made to find an efficient strategy to overcome and develop vaccines. The new vaccines provide an effective immune response that safeguards the community from the virus' severity. WHO has approved nine vaccines for emergency use based on safety and efficacy data collected from various conducted clinical trials. Herein, we review the safety and effectiveness of the WHO-approved COVID-19 vaccines and associated immune responses, and their impact on improving the public's health. Several immunological studies have demonstrated that vaccination dramatically enhances the immune response and reduces the likelihood of future infections in previously infected individuals. However, the type of vaccination and individual health status can significantly affect immune responses. Exposure of healthy individuals to adenovirus vectors or mRNA vaccines causes the early production of antibodies from B and T cells. On the other hand, unhealthy individuals were more likely to experience harmful events due to relapses in their existing conditions. Taken together, aligning with the proper vaccination to a patient's case can result in better outcomes.
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Review |
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Abstract
The current COVID-19 pandemic, which continues to spread across the globe, is caused by severe acute respiratory syndrome coronavirus (SARS-Cov-2). Soon after the pandemic emerged in China, it became clear that the receptor-binding domain (RBD) of angiotensin-converting enzyme 2 (ACE2) serves as the primary cell surface receptor for SARS-Cov-2. Subsequent work has shown that diabetes and hyperglycemia are major risk factors for morbidity and mortality in COVID-19 patients. However, data on the pattern of expression of ACE2 on human pancreatic β cells remain contradictory. Additionally, there is no consensus on whether the virus can directly infect and damage pancreatic islets and hence exacerbate diabetes. In this mini-review, we highlight the role of ACE2 receptor and summarize the current state of knowledge regarding its expression/co-localization in human pancreatic endocrine cells. We also discuss recent data on the permissiveness of human pancreatic β cells to SARS-Cov-2 infection.
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Review |
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Al-Hiari Y, Shattat G, Al-Qirim T, El-Huneidi W, Sheikha GA, Hikmat S. Antihyperlipidemic properties of novel N-(benzoylphenyl)-5-substituted-1H-indole-2-carboxamides in Triton WR-1339-induced hyperlipidemic rats. Molecules 2011; 16:8292-304. [PMID: 21959300 PMCID: PMC6264269 DOI: 10.3390/molecules16108292] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2011] [Revised: 09/05/2011] [Accepted: 09/22/2011] [Indexed: 11/30/2022] Open
Abstract
In the search for new potential antihyperlipidemic agents, the present study focuses on the synthesis of novel N-(benzoylphenyl)-5-substituted-1H-indole-2-carboxamides (compounds 8-12, 15, 16, 18) and investigating their antihyperlipidemic activity using Triton WR-1339-induced hyperlipidemic rats as an experimental model. Hyperlipidemia was developed by intraperitoneal injection of Triton WR-1339 (250 mg/kg body weight). The tested animals were divided into normal control (NCG), hyperlipidemic (HG), compound 8, 9, 15, 16, 18- and bezafibrate treated groups. At a dose of 15 mg/kg body weight, compounds 9, 16, 18 and bezafibrate (100 mg/kg) significantly (p < 0.0001) reduced elevated plasma triglycerides levels after 12 h compared to the hyperlipidemic control group. However, only the group treated with compounds 9, 16 and 18 showed an obviously significant (p < 0.001) reduction in plasma total cholesterol levels after 12 h compared to the hyperlipidemic control group. Moreover, high density lipoprotein-cholesterol levels were significantly (p < 0.0001) increased in all treated groups after 12 h compared to the hyperlipidemic control group, except for compounds 8 and 15 which revealed inactive. It is therefore reasonable to assume that compounds 9, 16 and 18 may have potential in the treatment of hyperlipidemia.
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El-Huneidi W, Bdour S, Mahasneh A. Detection of enterotoxin genes seg, seh, sei, and sej and of a novel aroA genotype in Jordanian clinical isolates of Staphylococcus aureus. Diagn Microbiol Infect Dis 2006; 56:127-32. [PMID: 16725300 DOI: 10.1016/j.diagmicrobio.2006.04.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2005] [Revised: 03/27/2006] [Accepted: 04/07/2006] [Indexed: 11/20/2022]
Abstract
The presence of staphylococcal enterotoxin (SE) genes (seg, seh, sei, and sej) and the correlation of their prevalence with the genotypes were studied in 100 clinical isolates of Staphylococcus aureus. Polymerase chain reaction (PCR) of SE genes indicated that 39% of the isolates were enterotoxigenic. Thirty-seven percent of the total isolates were seg positive, whereas 24% and 4% were sei and seh positive, respectively. All isolates containing sei were positive for seg, whereas sej gene was not detected. Genotyping by PCR-restriction fragment length polymorphism analysis of the aroA gene revealed that 39% of the isolates were type A and 11% were type B, and 50% displayed a novel (N) genotype. The presence of the enterotoxin genes was independent (P < 0.05) of the genotypes of the tested S. aureus isolates. This study has demonstrated that the seg was the most dominant enterotoxin gene and that the enterotoxigenic Jordanian S. aureus isolates belong to different genotypes, and N genotype was predominant.
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Eldesouki S, Qadri R, Abu Helwa R, Barqawi H, Bustanji Y, Abu-Gharbieh E, El-Huneidi W. Recent Updates on the Functional Impact of Kahweol and Cafestol on Cancer. Molecules 2022; 27:molecules27217332. [PMID: 36364160 PMCID: PMC9654648 DOI: 10.3390/molecules27217332] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 10/25/2022] [Accepted: 10/26/2022] [Indexed: 11/25/2022] Open
Abstract
Kahweol and cafestol are two diterpenes extracted from Coffea arabica beans that have distinct biological activities. Recent research describes their potential activities, which include anti-inflammatory, anti-diabetic, and anti-cancer properties, among others. The two diterpenes have been shown to have anticancer effects in various in vitro and in vivo cancer models. This review aims to shed light on the recent developments regarding the potential effects of kahweol and cafestol on various cancers. A systematic literature search through Google Scholar and PubMed was performed between February and May 2022 to collect updates about the potential effects of cafestol and kahweol on different cancers in in vitro and in vivo models. The search terms “Kahweol and Cancer” and “Cafestol and Cancer” were used in this literature review as keywords; the findings demonstrated that kahweol and cafestol exhibit diverse effects on different cancers in in vitro and in vivo models, showing pro-apoptotic, cytotoxic, anti-proliferative, and anti-migratory properties. In conclusion, the diterpenes kahweol and cafestol display significant anticancer effects, while remarkably unaffecting normal cells. Our results show that both kahweol and cafestol exert their actions on various cancers via inducing apoptosis and inhibiting cell growth. Additionally, kahweol acts by inhibiting cell migration.
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Mohammad MG, Saeed R, Mohammed AK, Khalique A, Hamad M, El-Huneidi W, Hamad M, Taneera J. GDF15 plays a critical role in insulin secretion in INS-1 cells and human pancreatic islets. Exp Biol Med (Maywood) 2023; 248:339-349. [PMID: 36740767 PMCID: PMC10159522 DOI: 10.1177/15353702221146552] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Mounting evidence points to a link between growth differentiation factor-15 (GDF15) expression and the onset and progression of diabetes mellitus. However, the exact role of GDF15 in pancreatic β-cell function is unclear. To examine the role of GDF15 in β-cell function, bioinformatics analysis and functional experiments involving GDF15 silencing and overexpression were performed in INS-1 cells and human islets. Public microarray and RNA-seq expression data showed that islets obtained from diabetic donors express high levels of GDF15 compared to islets obtained from normal donors. Moreover, analysis of RNA-seq expression data revealed that GDF15 expression correlates positively with that of insulin (INS), KCNJ11, GLUT1, MAFA, INSR and negatively with that of Glucokinase (GCK) and Alpha-Ketoglutarate Dependent Dioxygenase (FTO). No T2D-associated genetic variants in the GDF15 were found to pass genome-wide significance in the TIGER portal. Expression silencing of Gdf15 in INS-1 cells reduced insulin release, glucose uptake levels, increased reactive oxygen species (ROS) production and apoptosis levels. While Gdf15-silenced cells downregulated mRNA expression of Ins, Pdx1, Mafa, and Glut2 genes, its overexpression human islets was associated with increased insulin secretion and upregulated expression of MAFA and GLUT1 but not INS or GCK. Silencing of Pdx1 or Mafa in INS-1 cells did not affect the expression of GDF15. These findings suggest that GDF15 plays a significant role in pancreatic β-cell function.
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Bou Malhab LJ, Bajbouj K, Shehab NG, Elayoty SM, Sinoj J, Adra S, Taneera J, Saleh MA, Abdel-Rahman WM, Semreen MH, Alzoubi KH, Bustanji Y, El-Huneidi W, Abu-Gharbieh E. Potential anticancer properties of calotropis procera: An investigation on breast and colon cancer cells. Heliyon 2023; 9:e16706. [PMID: 37332907 PMCID: PMC10272338 DOI: 10.1016/j.heliyon.2023.e16706] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 05/24/2023] [Accepted: 05/24/2023] [Indexed: 06/20/2023] Open
Abstract
Calotropis procera is a perennial flowering plant of the Apocynaceae family, traditionally used in medicine to treat various ailments. Recent investigations have revealed its potential therapeutic activities such as anti-inflammatory, gastroprotective, analgesic, anti-obesity, and anti-diabetic properties. RP-HPLC qualitatively and quantitatively evaluated the phenolic acids and flavonoids in the ethanolic extract at two different wavelengths, 280 and 330 nm. In addition, total phenolic and flavonoid contents were measured via spectrophotometric determination in addition to the antioxidant activity. The antiproliferative effects of C. procera were investigated on two cancer cell lines: human colon (HCT-116) and breast (MCF-7) cancer. Several methods were utilised to analyse the effectiveness of the plant extract on the cytotoxicity, apoptosis, cell cycle progression, genes involved in the cell cycle, and protein expression profiles of HCT-116 and MCF-7 cells. These included the MTT assay, Annexin V-FITC/PI, analysis of the cell cycle, and Western blot. Results indicated that ferulic and caffeic acids were the major compounds at λmax 280 nm (1.374% and 0.561%, respectively), while the major compounds at λmax 325 nm were kaempferol and luteolin (1.036% and 0.512%, respectively). The ethanolic extract had significantly higher antioxidant activity (80 ± 2.3%) compared to ascorbic acid (90 ± 3.1%). C. procera extract exhibited dose-dependent cell growth inhibition, with an estimated IC50 of 50 μg/mL for MCF-7 and 55 μg/mL for HCT-116 cells at 24 h. Annexin V-FITC/PI confirmed the induction of apoptosis. Remarkably, cell cycle arrest occurred at the sub-G1 phase in MCF-7 cells, while in HCT-116 cells, it was observed at the G2-M phase. The sub-G1 arrest was associated with dysregulation of Akt, p-AKT, mTOR, and p-mTOR proteins, as confirmed by the Western blot analysis, while downregulation of CDK1, cyclin B1, and survivin caused G2-M arrest.
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Alsoud LO, Soares NC, Al-Hroub HM, Mousa M, Kasabri V, Bulatova N, Suyagh M, Alzoubi KH, El-Huneidi W, Abu-Irmaileh B, Bustanji Y, Semreen MH. Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS. Metabolites 2022; 12:metabo12060508. [PMID: 35736441 PMCID: PMC9227428 DOI: 10.3390/metabo12060508] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 05/28/2022] [Accepted: 05/29/2022] [Indexed: 02/04/2023] Open
Abstract
Metabolic syndrome (MetS) is a disorder characterized by a group of factors that can increase the risk of chronic diseases, including cardiovascular diseases and type 2 diabetes mellitus (T2D). Metabolomics has provided new insight into disease diagnosis and biomarker identification. This cross-sectional investigation used an untargeted metabolomics-based technique to uncover metabolomic alterations and their relationship to pathways in normoglycemic and prediabetic MetS participants to improve disease diagnosis. Plasma samples were collected from drug-naive prediabetic MetS patients (n = 26), normoglycemic MetS patients (n = 30), and healthy (normoglycemic lean) subjects (n = 30) who met the inclusion criteria for the study. The plasma samples were analyzed using highly sensitive ultra-high-performance liquid chromatography electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS). One-way ANOVA analysis revealed that 59 metabolites differed significantly among the three groups (p < 0.05). Glutamine, 5-hydroxy-L-tryptophan, L-sorbose, and hippurate were highly associated with MetS. However, 9-methyluric acid, sphinganine, and threonic acid were highly associated with prediabetes/MetS. Metabolic pathway analysis showed that arginine biosynthesis and glutathione metabolism were associated with MetS/prediabetes, while phenylalanine, D-glutamine and D-glutamate, and lysine degradation were highly impacted in MetS. The current study sheds light on the potential diagnostic value of some metabolites in metabolic syndrome and the role of their alteration on some of the metabolic pathways. More studies are needed in larger cohorts in order to verify the implication of the above metabolites on MetS and their diagnostic value.
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Ahmed M, Semreen AM, El-Huneidi W, Bustanji Y, Abu-Gharbieh E, Alqudah MAY, Alhusban A, Shara M, Abuhelwa AY, Soares NC, Semreen MH, Alzoubi KH. Preclinical and Clinical Applications of Metabolomics and Proteomics in Glioblastoma Research. Int J Mol Sci 2022; 24:ijms24010348. [PMID: 36613792 PMCID: PMC9820403 DOI: 10.3390/ijms24010348] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022] Open
Abstract
Glioblastoma (GB) is a primary malignancy of the central nervous system that is classified by the WHO as a grade IV astrocytoma. Despite decades of research, several aspects about the biology of GB are still unclear. Its pathogenesis and resistance mechanisms are poorly understood, and methods to optimize patient diagnosis and prognosis remain a bottle neck owing to the heterogeneity of the malignancy. The field of omics has recently gained traction, as it can aid in understanding the dynamic spatiotemporal regulatory network of enzymes and metabolites that allows cancer cells to adjust to their surroundings to promote tumor development. In combination with other omics techniques, proteomic and metabolomic investigations, which are a potent means for examining a variety of metabolic enzymes as well as intermediate metabolites, might offer crucial information in this area. Therefore, this review intends to stress the major contribution these tools have made in GB clinical and preclinical research and highlights the crucial impacts made by the integrative "omics" approach in reducing some of the therapeutic challenges associated with GB research and treatment. Thus, our study can purvey the use of these powerful tools in research by serving as a hub that particularly summarizes studies employing metabolomics and proteomics in the realm of GB diagnosis, treatment, and prognosis.
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El-Huneidi W, Anjum S, Saleh MA, Bustanji Y, Abu-Gharbieh E, Taneera J. Carnosic Acid Protects INS-1 β-Cells against Streptozotocin-Induced Damage by Inhibiting Apoptosis and Improving Insulin Secretion and Glucose Uptake. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27072102. [PMID: 35408495 PMCID: PMC9000724 DOI: 10.3390/molecules27072102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/18/2022] [Accepted: 03/23/2022] [Indexed: 12/16/2022]
Abstract
Carnosic acid (CA), a natural polyphenolic diterpene derived from Rosmarinus officinalis, has been proven to possess a broad spectrum of medicinal properties. Nevertheless, no studies on its impact on pancreatic β-cells have been conducted to date. Herein, clonal rat INS-1 (832/13) cells were pretreated with CA for 24 h and then incubated with streptozotocin (STZ) for 3 h. Several functional experiments were performed to determine the effect of CA on STZ-induced pancreatic β-cell damage, including cell viability assay, apoptosis analysis, and measurement of the level of insulin secretion, glucose uptake, malondialdehyde (MDA), reactive oxygen species (ROS), and proteins expression. STZ treatment decreased cell survival, insulin secretion, glucose uptake, and increased apoptosis, MDA, and ROS production in INS-1 cells. Furthermore, protein expression/phosphorylation analysis showed significant down-regulation in insulin, PDX-1, PI3K, AKT/p-AKT, and Bcl2. On the other hand, expression of BAX and BAD and cleaved PARP were significantly increased. Interestingly, preincubation with CA reversed the adverse impact of STZ at the cellular and protein expression levels. In conclusion, the data indicate that CA protects β-cells against STZ-induced damage, presumably through its modulatory effect on the different pathways, including the Pi3K/AKT/PDX-1/insulin pathway and mitochondria-mediated apoptosis.
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Alzu’bi A, Zoubi MSA, Al-Trad B, AbuAlArjah MI, Shehab M, Alzoubi H, Albals D, Abdelhady GT, El-Huneidi W. Acute Hepatic Injury Associated with Acute Administration of Synthetic Cannabinoid XLR-11 in Mouse Animal Model. TOXICS 2022; 10:668. [PMID: 36355959 PMCID: PMC9692363 DOI: 10.3390/toxics10110668] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/01/2022] [Accepted: 11/05/2022] [Indexed: 06/16/2023]
Abstract
The widespread recreational use of synthetic cannabinoids (SCs) has become a serious health issue. Reports of life-threatening intoxications related to SC consumption have markedly increased in recent years, including neurotoxicity, cardiotoxicity, nephrotoxicity, and hepatotoxicity. We investigated the impact of acute administration of the synthetic cannabinoid XLR-11 (3 mg/kg, i.p. for 5 consecutive days) on the liver in BALB/c mouse animal model. Using real-time quantitative RT-PCR, MDA assay, and TUNEL assay, we found consistent up-regulation of a variety of genes involved in oxidative stress (NOX2, NOX4, and iNOS), inflammation (TNF-α, IL-1β, IL-6), and apoptosis (Bax) in the liver of XLR-11 treated mice compared to control mice. These finding were supported with an elevation of MDA levels and TUNEL positive cells in the liver of XLR-11 treated mice which further confirm increased oxidative stress and apoptosis, respectively. Histopathological analysis of the liver of XLR-11 treated mice confirmed pronounced hepatic necrosis associated with inflammatory cell infiltration. Furthermore, elevated ALT and AST serum levels were also identified in XLR-11 treated mice indicating possible liver damage. Overall, SC-induced hepatotoxicity seems to be mainly mediated by activated oxidative stress and inflammatory processes in the liver, but the specific mechanisms involved require further investigations. However, the present study shed light on the potential deleterious role of acute administration of SCs in the progression to acute hepatic injury which enhances our understanding of the adverse effect of SC consumption.
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Abi Zamer B, El-Huneidi W, Eladl MA, Muhammad JS. Ins and Outs of Heat Shock Proteins in Colorectal Carcinoma: Its Role in Carcinogenesis and Therapeutic Perspectives. Cells 2021; 10:cells10112862. [PMID: 34831085 PMCID: PMC8616065 DOI: 10.3390/cells10112862] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 10/20/2021] [Accepted: 10/20/2021] [Indexed: 12/12/2022] Open
Abstract
Cancer cells can reprogram their metabolic activities and undergo uncontrolled proliferation by utilizing the power of heat shock proteins (HSPs). HSPs are highly conserved chaperones that facilitate the folding of intracellular proteins under stress. Constitutively, HSPs are expressed at low levels, but their expression upregulates in response to a wide variety of insults, including anticancer drugs, allowing cancer cells to develop chemoresistance. In recent years, several researchers have reported that HSPs could be an important therapeutic target in difficult-to-treat cancers such as colorectal carcinoma (CRC). Worldwide, CRC is the second most common type of cancer and the second leading cause of cancer-related deaths. The molecular complexity of CRC and the coexisting inflammatory conditions present a significant obstacle to developing effective treatment. Recently, considerable progress has been made in enhancing our understanding of the role of HSPs in CRC pathogenesis. Moreover, novel therapeutic strategies targeting HSPs, either alone or in combination with other anticancer agents, have been reported. Herein, we present an overview of the functional mechanisms and the diagnostic and prognostic potential of HSPs in CRC. We also discuss emerging anti-CRC strategies based on targeting HSPs.
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El-Huneidi W, Mui R, Zhang TH, Palmer M. Streptococcus agalactiae CAMP factor/protein B does not bind to human IgG. Med Microbiol Immunol 2006; 196:73-7. [PMID: 17086430 DOI: 10.1007/s00430-006-0028-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2006] [Indexed: 11/26/2022]
Abstract
CAMP factor is an extracellular cytolytic protein produced by Streptococcus agalactiae. CAMP factor has been reported to bind the Fc fragments of immunoglobulin G (IgG) and has therefore also been called protein B, in analogy to protein A of Staphylococcus aureus. We attempted to characterize the interaction of protein B with IgG in more detail. In contrast to protein A, CAMP factor does not inhibit the activation of complement by hemolysin antibodies bound to sheep red cell surfaces. IgG also failed to inhibit the co-hemolytic activity of CAMP factor, which is in disagreement with previous findings. After co-incubation, CAMP factor and IgG were cleanly separated by gel filtration, indicating that no binding had occurred.
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Elemam NM, Malek AI, Mahmoud EE, El-Huneidi W, Talaat IM. Insights into the Role of Gremlin-1, a Bone Morphogenic Protein Antagonist, in Cancer Initiation and Progression. Biomedicines 2022; 10:biomedicines10020301. [PMID: 35203511 PMCID: PMC8869528 DOI: 10.3390/biomedicines10020301] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 01/17/2022] [Accepted: 01/21/2022] [Indexed: 02/07/2023] Open
Abstract
The bone morphogenic protein (BMP) antagonist Gremlin-1 is a biologically significant regulator known for its crucial role in tissue differentiation and embryonic development. Nevertheless, it has been reported that Gremlin-1 can exhibit its function through BMP dependent and independent pathways. Gremlin-1 has also been reported to be involved in organ fibrosis, which has been correlated to the development of other diseases, such as renal inflammation and diabetic nephropathy. Based on growing evidence, Gremlin-1 has recently been implicated in the initiation and progression of different types of cancers. Further, it contributes to the stemness state of cancer cells. Herein, we explore the recent findings on the role of Gremlin-1 in various cancer types, including breast, cervical, colorectal, and gastric cancers, as well as glioblastomas. Additionally, we highlighted the impact of Gremlin-1 on cellular processes and signaling pathways involved in carcinogenesis. Therefore, it was suggested that Gremlin-1 might be a promising prognostic biomarker and therapeutic target in cancers.
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Talaat IM, Abu-Gharbieh E, Hussein A, Hachim M, Sobhy I, Eladl M, El-Huneidi W. Prognostic Value of Copine 1 in Patients With Renal Cell Carcinoma. Anticancer Res 2022; 42:355-362. [PMID: 34969745 DOI: 10.21873/anticanres.15493] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/14/2021] [Accepted: 11/15/2021] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIM Renal cell carcinoma (RCC) is among the most common renal malignancies and requires reliable biomarkers for optimum diagnosis and prognosis. Copines are a family of calcium-dependent phospholipid-binding proteins that were reported to be associated with various cancers. We aimed to investigate the prognostic value of Copines 1 and 3 in RCC patients. MATERIALS AND METHODS Copines 1 and 3 bioinformatics analysis and immunohistochemical (IHC) staining were performed on patients with RCC. RESULTS The findings revealed significant association between Copine 1 expression and the patients' age, nuclear grade, and tumor stage. Bioinformatics analysis showed a similar trend for the mRNA expression of CPNE1, the gene that encodes Copine 1. Interestingly, results revealed a positive association between Copine 1 and both EphA and Ki-67 expression levels. Noteworthy, there was no significant association between Copine 3 expression and any parameters. CONCLUSION Copine 1 may be used as an independent biomarker or in combination with both EphA2 and Ki-67 to predict disease outcome.
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