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Halim SA, Lodhi HW, Waqas M, Khalid A, Abdalla AN, Khan A, Al-Harrasi A. Targeting α-amylase enzyme through multi-fold structure-based virtual screening and molecular dynamic simulation. J Biomol Struct Dyn 2024; 42:5617-5630. [PMID: 37378513 DOI: 10.1080/07391102.2023.2227721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 06/14/2023] [Indexed: 06/29/2023]
Abstract
α-Amylase play important role in hydrolyses of α-bonds of large α-linked polysaccharides; thus, it is a potential drug target in diabetes mellites (DM) and its inhibition is one of the therapeutic strategies in DM. With the aim to discover novel and safer therapeutic molecules to combat diabetes, a huge dataset of ∼0.69 billion compounds from ZINC20 database were screened against α-amylase using multi-fold structure-based virtual screening protocol. Based on receptor-based pharmacophore model, docking results, pharmacokinetic profile, molecular interactions with α-amylase, several compounds were retrieved as lead candidates to be further scrutinized in the in vitro assay and in vivo animal testing. Among the selected hits, CP26 exhibited the highest binding free energy in MMGB-SA analysis, followed by CP7 and CP9, which is higher than the binding free energy of acarbose. While CP20 and CP21 showed comparative binding free energy to acarbose. All the selected ligands showed acceptable binding energy range, therefore, several molecules with enhanced efficacy can be designed by derivatizing these molecules. The in-silico results indicates that the selected molecules could serve as potential selective α-amylase inhibitors and can be used for the treatment of diabetes.Communicated by Ramaswamy H. Sarma.
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Hassan A, Khan JA, Nasir F, Shabir H, Hannan PA, Ullah R, Jan A, Khalid A, Khan A, Al-Harrasi A. Synthesis, Characterization, and Stability Optimization of Ibuprofen Cocrystals eEploying Various Hydrophilic Polymers. Curr Pharm Des 2024; 30:CPD-EPUB-140995. [PMID: 38867533 DOI: 10.2174/0113816128305926240530051853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/28/2024] [Accepted: 05/02/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Cocrystals are an efficient way for the delivery of low soluble drugs but when dissolved they rapidly disproportionate. To formulate the cocrystals in tablets, cocrystals must be stabilized. In this study ibuprofen-nicotinamide (IBU-NIC) cocrystals were synthesized initially by slow solvent evaporation and for bulk production by fast solvent evaporation techniques. METHOD The cocrystals were characterized by powder X-ray diffraction (PXRD), Fourier transform infrared spectrophotometer (FTIR), differential scanning calorimetry (DSC), thermogravimetric analysis (TGA), and optical microscopy. The ibuprofen cocrystals showed greater solubility compared to the parent drug. RESULT Intrinsic dissolution data was utilized for efficacious screening of tablet formulations. Using hydrophilic polymers at a ratio of 6:1 (polymer to IBU-NIC cocrystal ratio), hydroxypropyl methylcellulose (F1), polyvinylpyrrolidone (PVP) K-30 (F2) and PVP K-90 (F3), three tablet formulations were prepared that stabilized cocrystals during dissolution. The drug release profiles after 60 minutes from formulations F1 (92.30), F2 (98.54), F3 (99.88) were all higher compared to the marketed brand BRUFEN® F, (79.61%) in a simulated intestinal media (p<0.001). CONCLUSION Significant increase in the dissolution rate of cocrystal was observed with no phase change in all formulations.
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El Menyiy N, Elouafy Y, Moubachir R, Abdnim R, Benali T, Taha D, Khalid A, Abdalla AN, Hamza SMA, Elhadi Ibrahim S, El-Shazly M, Zengin G, Bouyahya A. Chemistry, Biological Activities, and Pharmacological Properties of Gastrodin: Mechanism Insights. Chem Biodivers 2024; 21:e202400402. [PMID: 38573028 DOI: 10.1002/cbdv.202400402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 03/30/2024] [Accepted: 04/04/2024] [Indexed: 04/05/2024]
Abstract
Gastrodin, a bioactive compound derived from the rhizome of the orchid Gastrodia elata, exhibits a diverse range of biological activities. With documented neuroprotective, anti-inflammatory, antioxidant, anti-apoptotic, and anti-tumor effects, gastrodin stands out as a multifaceted therapeutic agent. Notably, it has demonstrated efficacy in protecting against neuronal damage and enhancing cognitive function in animal models of Alzheimer's disease, Parkinson's disease, and cerebral ischemia. Additionally, gastrodin showcases immunomodulatory effects by mitigating inflammation and suppressing the expression of inflammatory cytokines. Its cytotoxic activity involves the inhibition of angiogenesis, suppression of tumor growth, and induction of apoptosis. This comprehensive review seeks to elucidate the myriad potential effects of Gastrodin, delving into the intricate molecular mechanisms underpinning its pharmacological properties. The findings underscore the therapeutic potential of gastrodin in addressing various conditions linked to neuroinflammation and cancer.
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Ullah S, Ullah A, Waqas M, Halim SA, Pasha AR, Shafiq Z, Mali SN, Jawarkar RD, Khan A, Khalid A, Abdalla AN, Kashtoh H, Al-Harrasi A. Structural, dynamic behaviour, in-vitro and computational investigations of Schiff's bases of 1,3-diphenyl urea derivatives against SARS-CoV-2 spike protein. Sci Rep 2024; 14:12588. [PMID: 38822113 PMCID: PMC11143201 DOI: 10.1038/s41598-024-63345-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Accepted: 05/28/2024] [Indexed: 06/02/2024] Open
Abstract
The COVID-19 has had a significant influence on people's lives across the world. The viral genome has undergone numerous unanticipated changes that have given rise to new varieties, raising alarm on a global scale. Bioactive phytochemicals derived from nature and synthetic sources possess lot of potential as pathogenic virus inhibitors. The goal of the recent study is to report new inhibitors of Schiff bases of 1,3-dipheny urea derivatives against SARS COV-2 spike protein through in-vitro and in-silico approach. Total 14 compounds were evaluated, surprisingly, all the compounds showed strong inhibition with inhibitory values between 79.60% and 96.00% inhibition. Here, compounds 3a (96.00%), 3d (89.60%), 3e (84.30%), 3f (86.20%), 3g (88.30%), 3h (86.80%), 3k (82.10%), 3l (90.10%), 3m (93.49%), 3n (85.64%), and 3o (81.79%) exhibited high inhibitory potential against SARS COV-2 spike protein. While 3c also showed significant inhibitory potential with 79.60% inhibition. The molecular docking of these compounds revealed excellent fitting of molecules in the spike protein receptor binding domain (RBD) with good interactions with the key residues of RBD and docking scores ranging from - 4.73 to - 5.60 kcal/mol. Furthermore, molecular dynamics simulation for 150 ns indicated a strong stability of a complex 3a:6MOJ. These findings obtained from the in-vitro and in-silico study reflect higher potency of the Schiff bases of 1,3-diphenyl urea derivatives. Furthermore, also highlight their medicinal importance for the treatment of SARS COV-2 infection. Therefore, these small molecules could be a possible drug candidate.
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Khalid A, Abbasi NA, Jamil N, Syed JH, Ahmad SR, Qadir A. Level of polychlorinated biphenyls in tumor and blood serum of breast cancer patients and control subjects from Punjab, Pakistan. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171908. [PMID: 38527533 DOI: 10.1016/j.scitotenv.2024.171908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 03/19/2024] [Accepted: 03/21/2024] [Indexed: 03/27/2024]
Abstract
The current study examined the level of Polychlorinated biphenyls (PCBs) in tumor and blood serum of female breast cancer patients and control individuals recruited from Punjab, Pakistan. Breast tumor and blood serum from 40 patients and only blood serum from ten control subjects were obtained and concentration of 32 PCB congeners was analyzed through Gas chromatography coupled with Mass spectrophotometry. Sociodemographic variables of the patients along with essential clinical and haematological parameters were taken as covariates. Tumor reflects the highest median (min-max) concentration (ng g-1 lw) of ƩPCBs at 115.94 (0.05-17.75) followed by 16.53 (0.09-2.94) and 5.24 (0.01-0.59) in blood serum of cancer patients and control group respectively. Median concentrations (ng g-1 lw) of non-dioxine like ƩPCBs were considerably higher at 83.04, 32.89 and 4.27 compared to 13.03 and 3.50 and 0.97 for dioxin like ƩPCBs in tumor, serum of breast cancer patients and control subjects respectively. PCB-87 was most dominant congeners in tumor followed by PCB-170 and -82 whereas PCB-28 and -52 reflected greatest contribution in serum of breast cancer patients. Blood haemoglobin, potassium and chloride ions showed significant positive whereas body mass index reflect inverse relationship when regressed with ƩPCBs in tumor. This pioneer study depicts elevated concentrations of PCBs in patients compared to control, reflecting potential positive association of PCBs with breast cancer which need further confirmation. We concluded that chronic exposure to PCBs might be associated with an increasing number of breast cancer incidences in developing countries like Pakistan, which should be further elucidated through detail in vitro and in vivo studies.
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Vollset SE, Ababneh HS, Abate YH, Abbafati C, Abbasgholizadeh R, Abbasian M, Abbastabar H, Abd Al Magied AHA, Abd ElHafeez S, Abdelkader A, Abdelmasseh M, Abd-Elsalam S, Abdi P, Abdollahi M, Abdoun M, Abdullahi A, Abebe M, Abiodun O, Aboagye RG, Abolhassani H, Abouzid M, Aboye GB, Abreu LG, Absalan A, Abualruz H, Abubakar B, Abukhadijah HJJ, Addolorato G, Adekanmbi V, Adetunji CO, Adetunji JB, Adeyeoluwa TE, Adha R, Adhikary RK, Adnani QES, Adzigbli LA, Afrashteh F, Afzal MS, Afzal S, Agbozo F, Agodi A, Agrawal A, Agyemang-Duah W, Ahinkorah BO, Ahlstrom AJ, Ahmad A, Ahmad F, Ahmad MM, Ahmad S, Ahmad S, Ahmed A, Ahmed A, Ahmed H, Ahmed S, Ahmed SA, Akinosoglou K, Akkaif MA, Akrami AE, Akter E, Al Awaidy S, Al Hasan SM, Al Mosa AS, Al Ta'ani O, Al Zaabi OAM, Alahdab F, Alajlani MM, Al-Ajlouni Y, Alalalmeh SO, Al-Aly Z, Alam K, Alam N, Alam T, Alam Z, Al-amer RM, Alanezi FM, Alanzi TM, Albakri A, Aldhaleei WA, Aldridge RW, Alemohammad SY, Alemu YM, Al-Gheethi AAS, Al-Hanawi MK, Ali A, Ali A, Ali I, Ali MU, Ali R, Ali SSS, Ali VE, Ali W, Al-Ibraheem A, Alicandro G, Alif SM, Aljunid SM, Alla F, Almazan JU, Al-Mekhlafi HM, Alqutaibi AY, Alrawashdeh A, Alrousan SM, Al-Sabah SK, Alsabri MA, Altaany Z, Al-Tammemi AB, Al-Tawfiq JA, Altirkawi KA, Aluh DO, Alvis-Guzman N, Al-Wardat MS, Al-Worafi YM, Aly H, Alyahya MS, Alzoubi KH, Al-Zyoud W, Amani R, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amirzade-Iranaq MH, Amu H, Amugsi DA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Andrei T, Andrews EA, Anil A, Anil S, Anoushiravani A, Antony CM, Antriyandarti E, Anuoluwa BS, Anvari S, Anyasodor AE, Appiah F, Aquilano M, Arab JP, Arabloo J, Arafa EA, Arafat M, Aravkin AY, Ardekani A, Areda D, Aregawi BB, Aremu A, Ariffin H, Arkew M, Armani K, Artamonov AA, Arumugam A, Asghari-Jafarabadi M, Ashbaugh C, Astell-Burt T, Athari SS, Atorkey P, Atout MMW, Aujayeb A, Ausloos M, Awad H, Awotidebe AW, Ayatollahi H, Ayuso-Mateos JL, Azadnajafabad S, Azeez FK, Azevedo RMS, Badar M, Baghdadi S, Bagheri M, Bagheri N, Bai R, Baker JL, Bako AT, Balakrishnan S, Balcha WF, Baltatu OC, Barchitta M, Bardideh E, Barker-Collo SL, Bärnighausen TW, Barqawi HJ, Barteit S, Basiru A, Basso JD, Bastan MM, Basu S, Bauckneht M, Baune BT, Bayati M, Bayileyegn NS, Behnoush AH, Behzadi P, Beiranvand M, Bello OO, Belo L, Beloukas A, Bemanalizadeh M, Bensenor IM, Benzian H, Beran A, Berezvai Z, Bernstein RS, Bettencourt PJG, Beyene KA, Beyene MG, Bhagat DS, Bhagavathula AS, Bhala N, Bhandari D, Bharadwaj R, Bhardwaj N, Bhardwaj P, Bhargava A, Bhaskar S, Bhat V, Bhattacharjee NV, Bhatti GK, Bhatti JS, Bhatti MS, Bhuiyan MA, Bisignano C, Biswas B, Bjørge T, Bodolica V, Bodunrin AO, Bonakdar Hashemi M, Bora Basara B, Borhany H, Bosoka SA, Botero Carvajal A, Bouaoud S, Boufous S, Boxe C, Boyko EJ, Brady OJ, Braithwaite D, Brauer M, Brazo-Sayavera J, Brenner H, Brown CS, Browne AJ, Brugha T, Bryazka D, Bulamu NB, Buonsenso D, Burkart K, Burns RA, Busse R, Bustanji Y, Butt ZA, Caetano dos Santos FL, Çakmak Barsbay M, Calina D, Campos LA, Cao S, Capodici A, Cárdenas R, Carreras G, Carugno A, Carvalho M, Castaldelli-Maia JM, Castelpietra G, Cattaruzza MS, Caye A, Cegolon L, Cembranel F, Cenko E, Cerin E, Chadban SJ, Chadwick J, Chakraborty C, Chakraborty S, Chalek J, Chan JSK, Chandika RM, Chandy S, Charan J, Chaudhary AA, Chaurasia A, Chen AT, Chen H, Chen MX, Chen S, Cherbuin N, Chi G, Chichagi F, Chimed-Ochir O, Chimoriya R, Ching PR, Chirinos-Caceres JL, Chitheer A, Cho DY, Cho WCS, Choi DW, Chong B, Chong CL, Chopra H, Chu DT, Chung E, Chutiyami M, Clayton JT, Cogen RM, Cohen AJ, Columbus A, Comfort H, Conde J, Connolly JT, Cooper EEK, Cortese S, Cruz-Martins N, da Silva AG, Dadras O, Dai X, Dai Z, Dalton BE, Damiani G, Dandona L, Dandona R, Das JK, Das S, Das S, Dash NR, Davletov K, De la Hoz FP, De Leo D, Debopadhaya S, Delgado-Enciso I, Denova-Gutiérrez E, Dervenis N, Desai HD, Devanbu VGC, Dewan SMR, Dhama K, Dhane AS, Dhingra S, Dias da Silva D, Diaz D, Diaz LA, Diaz MJ, Dima A, Ding DD, Do THP, do Prado CB, Dodangeh M, Dodangeh M, Doegah PT, Dohare S, Dong W, D'Oria M, Doshi R, Dowou RK, Dsouza HL, Dsouza V, Dube J, Dumith SC, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dushpanova A, Dutta S, Dzianach PA, Dziedzic AM, Eboreime E, Ebrahimi A, Ebrahimi Kalan M, Edinur HA, Efendi F, Eikemo TA, Eini E, Ekundayo TC, El Arab RA, El Sayed I, Elamin O, Elemam NM, ElGohary GMT, Elhadi M, Elmeligy OAA, Elmoselhi AB, Elshaer M, Elsohaby I, Eltahir ME, Emeto TI, Eshrati B, Eslami M, Esmaeili Z, Fabin N, Fagbamigbe AF, Fagbule OF, Falzone L, Fareed M, Farinha CSES, Faris MEM, Faro A, Fasihi K, Fatehizadeh A, Fauk NK, Fazylov T, Feigin VL, Fekadu G, Feng X, Fereshtehnejad SM, Ferrara P, Ferreira N, Firew BS, Fischer F, Fitriana I, Flavel J, Flor LS, Folayan MO, Foley KM, Fonzo M, Force LM, Foschi M, Freitas A, Fridayani NKY, Fukutaki KG, Furtado JM, Fux B, Gaal PA, Gadanya MA, Gallus S, Ganesan B, Ganiyani MA, Gautam RK, Gebi TG, Gebregergis MW, Gebrehiwot M, Getacher L, Getahun GKA, Gething PW, Ghadimi DJ, Ghadirian F, Ghafarian S, Ghailan KY, Ghasemi M, Ghasempour Dabaghi G, Ghazy RM, Ghoba S, Gholami E, Gholamrezanezhad A, Gholizadeh N, Ghorbani M, Ghorbani Vajargah P, Ghotbi E, Gil AU, Gill TK, Girmay A, Glasbey JC, Glushkova EV, Gnedovskaya EV, Göbölös L, Goldust M, Goleij P, Golinelli D, Gopalani SV, Goulart AC, Gouravani M, Goyal A, Grivna M, Grosso G, Guarducci G, Gubari MIM, Guicciardi S, Guimarães RA, Gulati S, Gulisashvili D, Gunawardane DA, Guo C, Gupta AK, Gupta R, Gupta R, Gupta R, Gupta S, Gupta VK, Haakenstad A, Hadi NR, Haep N, Hafiz A, Haghmorad D, Haile D, Hajj Ali A, Hajj Ali A, Haj-Mirzaian A, Halboub ES, Haller S, Halwani R, Hamagharib Abdullah K, Hamdy NM, Hamoudi R, Hanifi N, Hankey GJ, Haq ZA, Haque MR, Harapan H, Hargono A, Haro JM, Hasaballah AI, Hasan SMM, Hasanian M, Hasnain MS, Hassan A, Haubold J, Hay SI, Hebert JJ, Hegazi OE, Heidari M, Hemmati M, Henson CA, Herrera-Serna BY, Herteliu C, Heydari M, Hezam K, Hidayana I, Hiraike Y, Hoan NQ, Holla R, Hoogar P, Horita N, Hossain MM, Hosseinzadeh H, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hu C, Huang J, Hultström M, Hundie TG, Hunt AJ, Hushmandi K, Hussain J, Hussain MA, Hussein NR, Huynh HH, Hwang BF, Ibitoye SE, Iftikhar PM, Ikiroma AI, Ikwegbue PC, Ilic IM, Ilic MD, Immurana M, Isa MA, Islam MR, Islam SMS, Ismail F, Ismail NE, Isola G, Iwagami M, Iyamu IO, Jacob L, Jacobsen KH, Jafarinia M, Jahankhani K, Jahanmehr N, Jain N, Jairoun AA, Jakhmola Mani DR, Jamil S, Jamora RDG, Jatau AI, Javadov S, Javaheri T, Jayaram S, Jee SH, Jeganathan J, Jiang H, Jokar M, Jonas JB, Joseph N, Joshua CE, Jürisson M, K V, Kabir A, Kabir Z, Kadashetti V, Kalankesh LR, Kalra S, Kamath A, Kamath R, Kamireddy A, Kanaan M, Kanchan T, Kanmiki EW, Kanmodi KK, Kansal SK, Karim A, Karkhah S, Kashoo FZ, Kasraei H, Kassel MB, Katikireddi SV, Kauppila JH, Kaur H, Kayode GA, Kazemi F, Kazemian S, Kebede F, Kendal ES, Kesse-Guyot E, Khademvatan S, Khajuria H, Khalaji A, Khalid A, Khalid N, Khalilian A, Khamesipour F, Khan F, Khan MJ, Khan MAB, Khanmohammadi S, Khatab K, Khatatbeh H, Khatatbeh MM, Khatib MN, Khayat Kashani HR, Kheirallah KA, Khokhar M, Khormali M, Khorrami Z, Khosla AA, Khosravi M, Khosrowjerdi M, Khubchandani J, Kifle ZD, Kim G, Kim JS, Kim MS, Kim YJ, Kimokoti RW, Kisa A, Kisa S, Knibbs LD, Knudsen AKS, Kochhar S, Kolahi AA, Kompani F, Koren G, Korzh O, Krishan K, Krishna V, Krishnamoorthy V, Kucuk Bicer B, Kuddus MA, Kuddus M, Kuitunen I, Kujan O, Kulimbet M, Kulkarni V, Kumar GA, Kumar H, Kumar N, Kumar R, Kumar V, Kundu A, Kusuma D, Kyei-Arthur F, Kytö V, Kyu HH, La Vecchia C, Lacey B, Ladan MA, Laflamme L, Lahariya C, Lai DTC, Lalloo R, Lallukka T, Lám J, Lan Q, Lan T, Landires I, Lanfranchi F, Langguth B, Lansingh VC, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lauriola P, Lawlor HR, Le HH, Le LKD, Le NHH, Le TTT, Le TDT, Leasher JL, Lee DW, Lee M, Lee PH, Lee SW, Lee SW, Lee SWH, Lee YH, Leigh J, Leong E, Li MC, Libra M, Ligade VS, Lim LL, Lim SS, Limenh LW, Lindholm D, Lindstedt PA, Listl S, Liu G, Liu S, Liu S, Liu X, Liu X, Llanaj E, López-Bueno R, López-Gil JF, Loreche AM, Lotufo PA, Lozano R, Lubinda J, Lucchetti G, Luo L, Lusk JB, Lv L, M Amin HI, Ma ZF, Maass KL, Machairas N, Machoy M, Madureira-Carvalho ÁM, Magdy Abd El Razek H, Maghazachi AA, Mahadeshwara Prasad D, Mahalleh M, Mahasha PW, Mahmoud MA, Mahmoudi E, Mahmoudvand G, Makama M, Malakan Rad E, Malhotra K, Malik AA, Malta DC, Manla Y, Mansour A, Mansouri MH, Mansouri P, Mansouri V, Mansourian M, Mansournia MA, Marasini BP, Marateb HR, Maravilla JC, Mardi P, Marjani A, Markazi Moghadam H, Marrugo Arnedo CA, Martinez G, Martinez-Piedra R, Martins-Melo FR, Martorell M, Marx W, Marzo RR, Masoudi S, Mathangasinghe Y, Mathioudakis AG, Mathur M, Mathur N, Mathur N, Matozinhos FP, Mattumpuram J, Maude RJ, Maugeri A, Mayeli M, Mazidi M, Mazzotti A, McGrath JJ, McKee M, McKowen ALW, McPhail MA, McPhail SM, Mehmood A, Mehrabani-Zeinabad K, Mehravar S, Mekene Meto T, Melese EB, Mendez-Lopez MAM, Mendoza W, Menezes RG, Mensah GA, Mensah LG, Mentis AFA, Meo SA, Meretoja A, Meretoja TJ, Mersha AM, Mestrovic T, Mettananda KCD, Mettananda S, Mhlanga A, Mhlanga L, Miazgowski T, Michalek IM, Micheletti Gomide Nogueira de Sá AC, Miller TR, Minh LHN, Mirahmadi A, Mirijello A, Mirrakhimov EM, Mirzaei R, Mitchell PB, Mittal C, Moberg ME, Moghadam Fard A, Mohajelin S, Mohamadkhani A, Mohamed AI, Mohamed J, Mohamed MFH, Mohamed NS, Mohammad AM, Mohammadi S, Mohammed H, Mohammed M, Mohammed S, Mokdad AH, Molokhia M, Momani SM, Momtazmanesh S, Monasta L, Mondello S, Moni MA, Montazeri F, Moodi Ghalibaf A, Moradi M, Moradi Y, Moraga P, Morawska L, Moreira RS, Morovatdar N, Morrison SD, Mosapour A, Mosser JF, Mossialos E, Motappa R, Mougin V, Mousavi P, Mrejen M, Mubarik S, Mueller UO, Mulita F, Munjal K, Murillo-Zamora E, Musallam KM, Musina AM, Mustafa G, Myung W, Nafei A, Nagarajan AJ, Naghavi P, Naik GR, Naik G, Nainu F, Najdaghi S, Nakhostin Ansari N, Nangia V, Narasimha Swamy S, Nargus S, Narimani Davani D, Nascimento BR, Nascimento GG, Naser AY, Nashwan AJ, Natto ZS, Nauman J, Navaratna SNK, Naveed M, Nawsherwan, Nayak BP, Nayak VC, Negash H, Negoi I, Negoi RI, Nejadghaderi SA, Nejjari C, Nematollahi S, Netsere HB, Ng M, Nguefack-Tsague G, Ngunjiri JW, Nguyen AH, Nguyen DH, Nguyen DH, Nguyen HTH, Nguyen N, Nguyen NNY, Nguyen PT, Nguyen QP, Nguyen VT, Nguyen Tran Minh D, Niazi RK, Nigatu YT, Niknam M, Nikoobar A, Nikpoor AR, Nikravangolsefid N, Noman EA, Nomura S, Noor STA, Noroozi N, Nouri M, Nozari M, Nri-Ezedi CA, Ntaios G, Nunemo MH, Nurrika D, Nutor JJ, Nzoputam CI, Nzoputam OJ, Oancea B, Obamiro KO, Odetokun IA, Oduro MS, Ogundijo OA, Ogunfowokan AA, Ogunkoya A, Oguntade AS, Oh IH, Ojo-Akosile TR, Okati-Aliabad H, Okekunle AP, Okonji OC, Olagunju AT, Olatubi MI, Oliveira GMM, Olusanya BO, Olusanya JO, Oluwafemi YD, Omar HA, Omer GL, Ong S, Onie S, Onwujekwe OE, Opejin AO, Ordak M, Orish VN, Ortiz A, Ortiz-Prado E, Osman WMS, Ostojic SM, Ostroff SM, Osuagwu UL, Otoiu A, Otstavnov SS, Ouyahia A, Owolabi MO, Oyeyemi OT, Ozair A, P A MP, Padron-Monedero A, Padubidri JR, Pal PK, Palicz T, Pan F, Pan HF, Panda-Jonas S, Pandey A, Pando-Robles V, Pangaribuan HU, Panos GD, Panos LD, Pantazopoulos I, Pantea Stoian AM, Parikh RR, Park EK, Park S, Park S, Parsons N, Parthasarathi A, Pasovic M, Passera R, Patel J, Pathan AR, Patil S, Patoulias D, Pawar S, Pazoki Toroudi H, Pease SA, Peden AE, Pedersini P, Pensato U, Pepito VCF, Peprah P, Pereira M, Pereira MO, Perianayagam A, Perico N, Perna S, Pesudovs K, Petermann-Rocha FE, Pham HT, Philip AK, Phillips MR, Pigeolet M, Piradov MA, Pisoni E, Plotnikov E, Poddighe D, Polibin RV, Poluru R, Ponkilainen VT, Popovic DS, Postma MJ, Pour-Rashidi A, Prabhu D, Prada SI, Pradhan J, Pradhan PMS, Prashant A, Prates EJS, Priscilla T, Purnobasuki H, Purohit BM, Puvvula J, Qasim NH, Qattea I, Qazi AS, Qian G, Rabiee Rad M, Radhakrishnan V, Raeisi Shahraki H, Rafferty Q, Raggi A, Raggi C, Raheem N, Rahim F, Rahim MJ, Rahimibarghani S, Rahman MMMR, Rahman M, Rahman MA, Rahman T, Rahmani AM, Rahmanian M, Rahmanian N, Rahmati R, Rahmawaty S, Raimondo D, Raja A, Rajput P, Ramadan M, Ramasamy SK, Ramazanu S, Ramteke PW, Rana K, Rana RK, Ranabhat CL, Rane A, Rao CR, Rao M, Rasella D, Rashedi V, Rashid AM, Rasouli-Saravani A, Rastogi P, Rasul A, Rathish D, Rathnaiah Babu G, Rauniyar SK, Ravangard R, Rawaf DL, Rawaf S, Raza RZ, Redwan EMM, Reifels L, Reitsma MB, Remuzzi G, Rengasamy KRR, Reshmi B, Resnikoff S, Restaino S, Reyes LF, Rezaei N, Rezaei N, Rezaei ZS, Rezaeian M, Rhee TG, Rickard J, Robalik T, Robinson-Oden HE, Rocha HAL, Rodrigues M, Rodriguez JAB, Roever L, Romadlon DS, Ronfani L, Rony MKK, Roshandel G, Rotimi K, Rout HS, Roy B, Rubagotti E, Ruela GDA, Rumisha SF, Runghien T, Russo M, Saad AMA, Saber K, Saber-Ayad MM, Sabet CJ, Sabour S, Sachdev PS, Saddler A, Sadee BA, Sadeghi M, Saeb MR, Saeed U, Safi SZ, Sagar R, Saghafi A, Sagoe D, Sahebkar A, Sahoo PM, Sajid MR, Salam N, Salamati P, Salami AA, Saleh MA, Salehi L, Salem MR, Salemcity AJ, Salimi S, Samadi Kafil H, Samargandy S, Samodra YL, Samy AM, Sanabria J, Sanna F, Santric-Milicevic MM, Sao Jose BP, Saraswathy SYI, Saravanan A, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sartorius B, Satpathy M, Sayeed A, Scarmeas N, Schaarschmidt BM, Schinckus C, Schuermans A, Schumacher AE, Schutte AE, Schwebel DC, Schwendicke F, Selvaraj S, Semreen MH, Senapati S, Sengupta P, Senthilkumaran S, Serban D, Sethi Y, Seylani A, Shafie M, Shah PA, Shahbandi A, Shahid S, Shahid W, Shahsavari HR, Shahwan MJ, Shaikh MA, Shalash AS, Shamekh A, Shamim MA, Shanawaz M, Shankar A, Shannawaz M, Sharath M, Sharfaei S, Sharifan A, Sharifi-Rad J, Sharma A, Sharma M, Sharma S, Sharma V, Shastry RP, Shayan M, Shekhar S, Shenoy RR, Shetty M, Shetty PH, Shetty PK, Shi P, Shiani A, Shigematsu M, Shimels T, Shiri R, Shittu A, Shiue I, Shivakumar KM, Shool S, Shorofi SA, Shrestha S, Shuval K, Si Y, Siddig EE, Sidhu JK, Silva JP, Silva LMLR, Silva S, Silva TPR, Simpson CR, Simpson KE, Singh A, Singh BB, Singh B, Singh H, Singh J, Singh P, Singh P, Skou ST, Smith G, Sobia F, Socea B, Solanki S, Soleimani H, Soliman SSM, Song Y, Soyiri IN, Spartalis M, Spearman S, Sreeramareddy CT, Stanaway JD, Stanikzai MH, Starodubova AV, Stein DJ, Steiner C, Steiropoulos P, Stockfelt L, Stokes MA, Straif K, Subedi N, Suliankatchi Abdulkader R, Sultana A, Sun J, Sundström J, Swain CK, Szarpak L, Szeto MD, Tabaee Damavandi P, Tabarés-Seisdedos R, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabb KM, Tabche C, Tabish M, Taheri Abkenar Y, Taheri Soodejani M, Taiba J, Talaat IM, Tamuzi JL, Tan KK, Tang H, Tat NY, Tavakoli Oliaee R, Tavangar SM, Taveira N, Tbakhi A, Tehrani H, Temsah MH, Teramoto M, Tesfaye BT, Teye-Kwadjo E, Thangaraju P, Thankappan KR, Thapar R, Thayakaran R, Thirunavukkarasu S, Thomas N, Thygesen LC, Ticoalu JHV, Timalsena D, Tiruye TY, Tiwari K, Tomo S, Tonelli M, Topor-Madry R, Touvier M, Tovani-Palone MR, Tran AT, Tran JT, Tran NM, Tran TH, Trico D, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsermpini EE, Tumurkhuu M, Turnock ST, Udoh A, Ullah A, Ullah S, Ullah S, Umakanthan S, Umar M, Umar SS, Unim B, Unnikrishnan B, Upadhyay E, Usman JS, Vahdati S, Vaithinathan AG, Vakili O, Valizadeh R, Van den Eynde J, Vart P, Varthya SB, Vasankari TJ, Vasic M, Venketasubramanian N, Veroux M, Verras GI, Vervoort D, Vijayageetha M, Villafañe JH, Vinayak M, Violante FS, Vladimirov SK, Vlassov V, Vo B, Vohra K, Vos T, Wadood AW, Waheed Y, Wang F, Wang S, Wang S, Wang Y, Wang Y, Wang YP, Wanjau MN, Waqas M, Ward P, Waris A, Wassie EG, Watson S, Weaver MR, Weerakoon KG, Weintraub RG, Weldetinsaa HLL, Wells KM, Wen YF, Westerman R, Wiangkham T, Wickramasinghe DP, Widowati E, Wojewodzic MW, Woldeyes DH, Wolf AW, Wolfe CDA, Wu C, Wu D, Wu F, Wu J, Wu Z, Wulf Hanson S, Xiao H, Xu S, Yadav R, Yamagishi K, Yang D, Yano Y, Yarahmadi A, Yazdani Nia I, Ye P, Yesodharan R, Yesuf SA, Yezli S, Yiğit A, Yiğit V, Yigzaw ZA, Yin D, Yip P, Yonemoto N, You Y, Younis MZ, Yu C, Yu EA, Yu Y, Yuan CW, Yusuf H, Zafar U, Zafari N, Zahid MH, Zakham F, Zaki N, Zerfu TA, Zhang H, Zhang J, Zhang L, Zhang Y, Zhang Z, Zhao XJG, Zhao Y, Zhao Z, Zhong C, Zhou B, Zhou J, Zhou S, Zhu B, Zhumagaliuly A, Zielińska M, Zoghi G, Zumla A, Zyoud SH, Zyoud SH, Smith AE, Murray CJL. Burden of disease scenarios for 204 countries and territories, 2022-2050: a forecasting analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2204-2256. [PMID: 38762325 PMCID: PMC11121021 DOI: 10.1016/s0140-6736(24)00685-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 03/29/2024] [Accepted: 04/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Future trends in disease burden and drivers of health are of great interest to policy makers and the public at large. This information can be used for policy and long-term health investment, planning, and prioritisation. We have expanded and improved upon previous forecasts produced as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) and provide a reference forecast (the most likely future), and alternative scenarios assessing disease burden trajectories if selected sets of risk factors were eliminated from current levels by 2050. METHODS Using forecasts of major drivers of health such as the Socio-demographic Index (SDI; a composite measure of lag-distributed income per capita, mean years of education, and total fertility under 25 years of age) and the full set of risk factor exposures captured by GBD, we provide cause-specific forecasts of mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) by age and sex from 2022 to 2050 for 204 countries and territories, 21 GBD regions, seven super-regions, and the world. All analyses were done at the cause-specific level so that only risk factors deemed causal by the GBD comparative risk assessment influenced future trajectories of mortality for each disease. Cause-specific mortality was modelled using mixed-effects models with SDI and time as the main covariates, and the combined impact of causal risk factors as an offset in the model. At the all-cause mortality level, we captured unexplained variation by modelling residuals with an autoregressive integrated moving average model with drift attenuation. These all-cause forecasts constrained the cause-specific forecasts at successively deeper levels of the GBD cause hierarchy using cascading mortality models, thus ensuring a robust estimate of cause-specific mortality. For non-fatal measures (eg, low back pain), incidence and prevalence were forecasted from mixed-effects models with SDI as the main covariate, and YLDs were computed from the resulting prevalence forecasts and average disability weights from GBD. Alternative future scenarios were constructed by replacing appropriate reference trajectories for risk factors with hypothetical trajectories of gradual elimination of risk factor exposure from current levels to 2050. The scenarios were constructed from various sets of risk factors: environmental risks (Safer Environment scenario), risks associated with communicable, maternal, neonatal, and nutritional diseases (CMNNs; Improved Childhood Nutrition and Vaccination scenario), risks associated with major non-communicable diseases (NCDs; Improved Behavioural and Metabolic Risks scenario), and the combined effects of these three scenarios. Using the Shared Socioeconomic Pathways climate scenarios SSP2-4.5 as reference and SSP1-1.9 as an optimistic alternative in the Safer Environment scenario, we accounted for climate change impact on health by using the most recent Intergovernmental Panel on Climate Change temperature forecasts and published trajectories of ambient air pollution for the same two scenarios. Life expectancy and healthy life expectancy were computed using standard methods. The forecasting framework includes computing the age-sex-specific future population for each location and separately for each scenario. 95% uncertainty intervals (UIs) for each individual future estimate were derived from the 2·5th and 97·5th percentiles of distributions generated from propagating 500 draws through the multistage computational pipeline. FINDINGS In the reference scenario forecast, global and super-regional life expectancy increased from 2022 to 2050, but improvement was at a slower pace than in the three decades preceding the COVID-19 pandemic (beginning in 2020). Gains in future life expectancy were forecasted to be greatest in super-regions with comparatively low life expectancies (such as sub-Saharan Africa) compared with super-regions with higher life expectancies (such as the high-income super-region), leading to a trend towards convergence in life expectancy across locations between now and 2050. At the super-region level, forecasted healthy life expectancy patterns were similar to those of life expectancies. Forecasts for the reference scenario found that health will improve in the coming decades, with all-cause age-standardised DALY rates decreasing in every GBD super-region. The total DALY burden measured in counts, however, will increase in every super-region, largely a function of population ageing and growth. We also forecasted that both DALY counts and age-standardised DALY rates will continue to shift from CMNNs to NCDs, with the most pronounced shifts occurring in sub-Saharan Africa (60·1% [95% UI 56·8-63·1] of DALYs were from CMNNs in 2022 compared with 35·8% [31·0-45·0] in 2050) and south Asia (31·7% [29·2-34·1] to 15·5% [13·7-17·5]). This shift is reflected in the leading global causes of DALYs, with the top four causes in 2050 being ischaemic heart disease, stroke, diabetes, and chronic obstructive pulmonary disease, compared with 2022, with ischaemic heart disease, neonatal disorders, stroke, and lower respiratory infections at the top. The global proportion of DALYs due to YLDs likewise increased from 33·8% (27·4-40·3) to 41·1% (33·9-48·1) from 2022 to 2050, demonstrating an important shift in overall disease burden towards morbidity and away from premature death. The largest shift of this kind was forecasted for sub-Saharan Africa, from 20·1% (15·6-25·3) of DALYs due to YLDs in 2022 to 35·6% (26·5-43·0) in 2050. In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5-17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7-11·3) in the high-income super-region to 23·9% (20·7-27·3) in north Africa and the Middle East. The Safer Environment scenario had its largest decrease in sub-Saharan Africa (5·2% [3·5-6·8]), the Improved Behavioural and Metabolic Risks scenario in north Africa and the Middle East (23·2% [20·2-26·5]), and the Improved Nutrition and Vaccination scenario in sub-Saharan Africa (2·0% [-0·6 to 3·6]). INTERPRETATION Globally, life expectancy and age-standardised disease burden were forecasted to improve between 2022 and 2050, with the majority of the burden continuing to shift from CMNNs to NCDs. That said, continued progress on reducing the CMNN disease burden will be dependent on maintaining investment in and policy emphasis on CMNN disease prevention and treatment. Mostly due to growth and ageing of populations, the number of deaths and DALYs due to all causes combined will generally increase. By constructing alternative future scenarios wherein certain risk exposures are eliminated by 2050, we have shown that opportunities exist to substantially improve health outcomes in the future through concerted efforts to prevent exposure to well established risk factors and to expand access to key health interventions. FUNDING Bill & Melinda Gates Foundation.
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Ferrari AJ, Santomauro DF, Aali A, Abate YH, Abbafati C, Abbastabar H, Abd ElHafeez S, Abdelmasseh M, Abd-Elsalam S, Abdollahi A, Abdullahi A, Abegaz KH, Abeldaño Zuñiga RA, Aboagye RG, Abolhassani H, Abreu LG, Abualruz H, Abu-Gharbieh E, Abu-Rmeileh NME, Ackerman IN, Addo IY, Addolorato G, Adebiyi AO, Adepoju AV, Adewuyi HO, Afyouni S, Afzal S, Afzal S, Agodi A, Ahmad A, Ahmad D, Ahmad F, Ahmad S, Ahmed A, Ahmed LA, Ahmed MB, Ajami M, Akinosoglou K, Akkaif MA, Al Hasan SM, Alalalmeh SO, Al-Aly Z, Albashtawy M, Aldridge RW, Alemu MD, Alemu YM, Alene KA, Al-Gheethi AAS, Alharrasi M, Alhassan RK, Ali MU, Ali R, Ali SSS, Alif SM, Aljunid SM, Al-Marwani S, Almazan JU, Alomari MA, Al-Omari B, Altaany Z, Alvis-Guzman N, Alvis-Zakzuk NJ, Alwafi H, Al-Wardat MS, Al-Worafi YM, Aly S, Alzoubi KH, Amare AT, Amegbor PM, Ameyaw EK, Amin TT, Amindarolzarbi A, Amiri S, Amugsi DA, Ancuceanu R, Anderlini D, Anderson DB, Andrade PP, Andrei CL, Ansari H, Antony CM, Anwar S, Anwar SL, Anwer R, Anyanwu PE, Arab JP, Arabloo J, Arafat M, Araki DT, Aravkin AY, Arkew M, Armocida B, Arndt MB, Arooj M, Artamonov AA, Aruleba RT, Arumugam A, Ashbaugh C, Ashemo MY, Ashraf M, Asika MO, Askari E, Astell-Burt T, Athari SS, Atorkey P, Atout MMW, Atreya A, Aujayeb A, Ausloos M, Avan A, Awotidebe AW, Awuviry-Newton K, Ayala Quintanilla BP, Ayuso-Mateos JL, Azadnajafabad S, Azevedo RMS, Babu AS, Badar M, Badiye AD, Baghdadi S, Bagheri N, Bah S, Bai R, Baker JL, Bakkannavar SM, Bako AT, Balakrishnan S, Bam K, Banik PC, Barchitta M, Bardhan M, Bardideh E, Barker-Collo SL, Barqawi HJ, Barrow A, Barteit S, Barua L, Bashiri Aliabadi S, Basiru A, Basu S, Basu S, Bathini PP, Batra K, Baune BT, Bayileyegn NS, Behnam B, Behnoush AH, Beiranvand M, Bejarano Ramirez DF, Bell ML, Bello OO, Beloukas A, Bensenor IM, Berezvai Z, Bernabe E, Bernstein RS, Bettencourt PJG, Bhagavathula AS, Bhala N, Bhandari D, Bhargava A, Bhaskar S, Bhat V, Bhatti GK, Bhatti JS, Bhatti MS, Bhatti R, Bhutta ZA, Bikbov B, Bishai JD, Bisignano C, Bitra VR, Bjørge T, Bodolica V, Bodunrin AO, Bogale EK, Bonakdar Hashemi M, Bonny A, Bora Basara B, Borhany H, Boxe C, Brady OJ, Bragazzi NL, Braithwaite D, Brant LC, Brauer M, Breitner S, Brenner H, Brown J, Brugha T, Bulamu NB, Buonsenso D, Burkart K, Burns RA, Busse R, Bustanji Y, Butt ZA, Byun J, Caetano dos Santos FL, Calina D, Cámera LA, Campos-Nonato IR, Cao C, Capodici A, Carr S, Carreras G, Carugno A, Carvalho M, Castaldelli-Maia JM, Castañeda-Orjuela CA, Castelpietra G, Catapano AL, Cattaruzza MS, Caye A, Cegolon L, Cembranel F, Cenderadewi M, Cerin E, Chakraborty PA, Chan JSK, Chan RNC, Chandika RM, Chandrasekar EK, Charalampous P, Chattu VK, Chatzimavridou-Grigoriadou V, Chen AW, Chen AT, Chen CS, Chen H, Chen NM, Cheng ETW, Chimed-Ochir O, Chimoriya R, Ching PR, Cho WCS, Choi S, Chong B, Chong YY, Choudhari SG, Chowdhury R, Christensen SWM, Chu DT, Chukwu IS, Chung E, Chung E, Chutiyami M, Claassens MM, Cogen RM, Columbus A, Conde J, Cortesi PA, Cousin E, Criqui MH, Cruz-Martins N, Dadras O, Dai S, Dai X, Dai Z, Dalaba MA, Damiani G, Das JK, Das S, Dashti M, Dávila-Cervantes CA, Davletov K, De Leo D, Debele AT, Debopadhaya S, DeCleene NK, Deeba F, Degenhardt L, Del Bo' C, Delgado-Enciso I, Demetriades AK, Denova-Gutiérrez E, Dervenis N, Desai HD, Desai R, Deuba K, Dhama K, Dharmaratne SD, Dhingra S, Dias da Silva D, Diaz D, Diaz LA, Diaz MJ, Dima A, Ding DD, Dirac MA, Do THP, do Prado CB, Dohare S, Dominguez RMV, Dong W, Dongarwar D, D'Oria M, Dorsey ER, Doshmangir L, Dowou RK, Driscoll TR, Dsouza HL, Dsouza V, Dube J, Dumith SC, Duncan BB, Duraes AR, Duraisamy S, Durojaiye OC, Dzianach PA, Dziedzic AM, Eboreime E, Ebrahimi A, Edinur HA, Edvardsson D, Eikemo TA, Eini E, Ekholuenetale M, Ekundayo TC, El Sayed I, El Tantawi M, Elbarazi I, Elemam NM, ElGohary GMT, Elhadi M, Elmeligy OAA, ELNahas G, Elshaer M, Elsohaby I, Engelbert Bain L, Erkhembayar R, Eshrati B, Estep K, Fabin N, Fagbamigbe AF, Falzone L, Fareed M, Farinha CSES, Faris MEM, Faro A, Farrokhi P, Fatehizadeh A, Fauk NK, Feigin VL, Feng X, Fereshtehnejad SM, Feroze AH, Ferreira N, Ferreira PH, Fischer F, Flavel J, Flood D, Flor LS, Foigt NA, Folayan MO, Force LM, Fortuna D, Foschi M, Franklin RC, Freitas A, Fukumoto T, Furtado JM, Gaal PA, Gadanya MA, Gaidhane AM, Gaihre S, Galali Y, Ganbat M, Gandhi AP, Ganesan B, Ganie MA, Ganiyani MA, Gardner WM, Gebi TG, Gebregergis MW, Gebrehiwot M, Gebremariam TBB, Gebremeskel TG, Gela YY, Georgescu SR, Getachew Obsa A, Gething PW, Getie M, Ghadiri K, Ghadirian F, Ghailan KY, Ghajar A, Ghasemi M, Ghasempour Dabaghi G, Ghasemzadeh A, Ghazy RM, Gholamrezanezhad A, Ghorbani M, Ghotbi E, Gibson RM, Gill TK, Ginindza TG, Girmay A, Glasbey JC, Göbölös L, Godinho MA, Goharinezhad S, Goldust M, Golechha M, Goleij P, Gona PN, Gorini G, Goulart AC, Grada A, Grivna M, Guan SY, Guarducci G, Gubari MIM, Gudeta MD, Guha A, Guicciardi S, Gulati S, Gulisashvili D, Gunawardane DA, Guo C, Gupta AK, Gupta B, Gupta I, Gupta M, Gupta R, Gupta VB, Gupta VK, Gupta VK, Gutiérrez RA, Habibzadeh F, Habibzadeh P, Haddadi R, Hadi NR, Haep N, Hafezi-Nejad N, Hafiz A, Hagins H, Halboub ES, Halimi A, Haller S, Halwani R, Hamilton EB, Hankey GJ, Hannan MA, Haque MN, Harapan H, Haro JM, Hartvigsen J, Hasaballah AI, Hasan I, Hasanian M, Hasnain MS, Hassan A, Haubold J, Havmoeller RJ, Hay SI, Hayat K, Hebert JJ, Hegazi OE, Heidari G, Helfer B, Hemmati M, Hendrie D, Henson CA, Hezam K, Hiraike Y, Hoan NQ, Holla R, Hon J, Hossain MM, Hosseinzadeh H, Hosseinzadeh M, Hostiuc M, Hostiuc S, Hsu JM, Huang J, Hugo FN, Hushmandi K, Hussain J, Hussein NR, Huynh CK, Huynh HH, Hwang BF, Iannucci VC, Ihler AL, Ikiroma AI, Ikuta KS, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Immurana M, Irham LM, Islam MR, Islam SMS, Islami F, Ismail F, Ismail NE, Isola G, Iwagami M, Iwu CCD, Iyer M, Jaafari J, Jacobsen KH, Jadidi-Niaragh F, Jafarinia M, Jaggi K, Jahankhani K, Jahanmehr N, Jahrami H, Jain A, Jain N, Jairoun AA, Jaiswal A, Jakovljevic M, Jatau AI, Javadov S, Javaheri T, Jayapal SK, Jayaram S, Jee SH, Jeganathan J, Jeyakumar A, Jha AK, Jiang H, Jin Y, Jonas JB, Joo T, Joseph A, Joseph N, Joshua CE, Jozwiak JJ, Jürisson M, K V, Kaambwa B, Kabir A, Kabir Z, Kadashetti V, Kalani R, Kalankesh LR, Kaliyadan F, Kalra S, Kamenov K, Kamyari N, Kanagasabai T, Kandel H, Kanmanthareddy AR, Kanmodi KK, Kantar RS, Karaye IM, Karim A, Karimi SE, Karimi Y, Kasraei H, Kassel MB, Kauppila JH, Kawakami N, Kayode GA, Kazemi F, Kazemian S, Keikavoosi-Arani L, Keller C, Kempen JH, Kerr JA, Keshtkar K, Kesse-Guyot E, Keykhaei M, Khajuria H, Khalaji A, Khalid A, Khalid N, Khalilian A, Khamesipour F, Khan A, Khan I, Khan M, Khan MAB, Khanmohammadi S, Khatab K, Khatami F, Khatatbeh MM, Khater AM, Khayat Kashani HR, Khidri FF, Khodadoust E, Khormali M, Khorrami Z, Kifle ZD, Kim MS, Kimokoti RW, Kisa A, Kisa S, Knudsen AKS, Kocarnik JM, Kochhar S, Koh HY, Kolahi AA, Kompani F, Koren G, Korzh O, Kosen S, Koulmane Laxminarayana SL, Krishan K, Krishna V, Krishnamoorthy V, Kuate Defo B, Kuddus MA, Kuddus M, Kuitunen I, Kulkarni V, Kumar M, Kumar N, Kumar R, Kurmi OP, Kusuma D, Kyu HH, La Vecchia C, Lacey B, Ladan MA, Laflamme L, Lafranconi A, Lahariya C, Lai DTC, Lal DK, Lalloo R, Lallukka T, Lám J, Lan Q, Lan T, Landires I, Lanfranchi F, Langguth B, Laplante-Lévesque A, Larijani B, Larsson AO, Lasrado S, Lauriola P, Le HH, Le LKD, Le NHH, Le TDT, Leasher JL, Ledda C, Lee M, Lee PH, Lee SW, Lee SW, Lee WC, Lee YH, LeGrand KE, Lenzi J, Leong E, Leung J, Li MC, Li W, Li X, Li Y, Li Y, Lim LL, Lim SS, Lindstrom M, Linn S, Liu G, Liu R, Liu S, Liu W, Liu X, Liu X, Llanaj E, Lo CH, López-Bueno R, Loreche AM, Lorenzovici L, Lozano R, Lubinda J, Lucchetti G, Lunevicius R, Lusk JB, lv H, Ma ZF, Machairas N, Madureira-Carvalho ÁM, Magaña Gómez JA, Maghazachi AA, Maharjan P, Mahasha PW, Maheri M, Mahjoub S, Mahmoud MA, Mahmoudi E, Majeed A, Makris KC, Malakan Rad E, Malhotra K, Malik AA, Malik I, Malta DC, Manla Y, Mansour A, Mansouri P, Mansournia MA, Mantilla Herrera AM, Mantovani LG, Manu E, Marateb HR, Mardi P, Martinez G, Martinez-Piedra R, Martini D, Martins-Melo FR, Martorell M, Marx W, Maryam S, Marzo RR, Mathangasinghe Y, Mathieson S, Mathioudakis AG, Mattumpuram J, Maugeri A, Mayeli M, Mazidi M, Mazzotti A, McGrath JJ, McKee M, McKowen ALW, McPhail MA, Mehrabani-Zeinabad K, Mehrabi Nasab E, Mekene Meto T, Mendoza W, Menezes RG, Mensah GA, Mentis AFA, Meo SA, Meresa HA, Meretoja A, Meretoja TJ, Mersha AM, Mestrovic T, Mettananda KCD, Mettananda S, Michalek IM, Miller PA, Miller TR, Mills EJ, Minh LHN, Mirijello A, Mirrakhimov EM, Mirutse MK, Mirza-Aghazadeh-Attari M, Mirzaei M, Mirzaei R, Misganaw A, Mishra AK, Mitchell PB, Mittal C, Moazen B, Moberg ME, Mohamed J, Mohamed MFH, Mohamed NS, Mohammadi E, Mohammadi S, Mohammed H, Mohammed S, Mohammed S, Mohr RM, Mokdad AH, Molinaro S, Momtazmanesh S, Monasta L, Mondello S, Moodi Ghalibaf A, Moradi M, Moradi Y, Moradi-Lakeh M, Moraga P, Morawska L, Moreira RS, Morovatdar N, Morrison SD, Morze J, Mosapour A, Mosser JF, Mossialos E, Motappa R, Mougin V, Mouodi S, Mrejen M, Msherghi A, Mubarik S, Mueller UO, Mulita F, Munjal K, Murillo-Zamora E, Murlimanju BV, Mustafa G, Muthu S, Muzaffar M, Myung W, Nagarajan AJ, Naghavi P, Naik GR, Nainu F, Nair S, Najmuldeen HHR, Nangia V, Naqvi AA, Narayana AI, Nargus S, Nascimento GG, Nashwan AJ, Nasrollahizadeh A, Nasrollahizadeh A, Natto ZS, Nayak BP, Nayak VC, Nduaguba SO, Negash H, Negoi I, Negoi RI, Nejadghaderi SA, Nesbit OD, Netsere HB, Ng M, Nguefack-Tsague G, Ngunjiri JW, Nguyen DH, Nguyen HQ, Niazi RK, Nikolouzakis TK, Nikoobar A, Nikoomanesh F, Nikpoor AR, Nnaji CA, Nnyanzi LA, Noman EA, Nomura S, Norrving B, Nri-Ezedi CA, Ntaios G, Ntsekhe M, Nurrika D, Nzoputam CI, Nzoputam OJ, Oancea B, Odetokun IA, O'Donnell MJ, Oguntade AS, Oguta JO, Okati-Aliabad H, Okeke SR, Okekunle AP, Okonji OC, Olagunju AT, Olasupo OO, Olatubi MI, Oliveira GMM, Olufadewa II, Olusanya BO, Olusanya JO, Omar HA, Omer GL, Omonisi AEE, Onie S, Onwujekwe OE, Ordak M, Orish VN, Ortega-Altamirano DV, Ortiz A, Ortiz-Brizuela E, Osman WMS, Ostroff SM, Osuagwu UL, Otoiu A, Otstavnov N, Otstavnov SS, Ouyahia A, Ouyang G, Owolabi MO, P A MP, Padron-Monedero A, Padubidri JR, Palicz T, Palladino C, Pan F, Pandi-Perumal SR, Pangaribuan HU, Panos GD, Panos LD, Pantea Stoian AM, Pardhan S, Parikh RR, Pashaei A, Pasovic M, Passera R, Patel J, Patel SK, Patil S, Patoulias D, Patthipati VS, Pawar S, Pazoki Toroudi H, Pease SA, Peden AE, Pedersini P, Peng M, Pensato U, Pepito VCF, Peprah EK, Peprah P, Perdigão J, Pereira MO, Perianayagam A, Perico N, Pesudovs K, Petermann-Rocha FE, Petri WA, Pham HT, Philip AK, Phillips MR, Pigeolet M, Pigott DM, Pillay JD, Piracha ZZ, Pirouzpanah S, Plass D, Plotnikov E, Poddighe D, Polinder S, Postma MJ, Pourtaheri N, Prada SI, Pradhan PMS, Prakash V, Prasad M, Prates EJS, Priscilla T, Pritchett N, Puri P, Puvvula J, Qasim NH, Qattea I, Qazi AS, Qian G, Rabiee Rad M, Radhakrishnan RA, Radhakrishnan V, Raeisi Shahraki H, Rafferty Q, Raggi A, Raghav PR, Rahim MJ, Rahman MM, Rahman MHU, Rahman M, Rahman MA, Rahmani S, Rahmanian M, Rahmawaty S, Rajaa S, Ramadan MM, Ramasamy SK, Ramasubramani P, Ramazanu S, Rana K, Ranabhat CL, Rancic N, Rane A, Rao CR, Rao K, Rao M, Rao SJ, Rashidi MM, Rathnaiah Babu G, Rauniyar SK, Rawaf DL, Rawaf S, Razo C, Reddy MMRK, Redwan EMM, Reifels L, Reiner Jr RC, Remuzzi G, Renzaho AMN, Reshmi B, Reyes LF, Rezaei N, Rezaei N, Rezaei N, Rezaei Hachesu P, Rezaeian M, Rickard J, Rodrigues CF, Rodriguez JAB, Roever L, Ronfani L, Roshandel G, Rotimi K, Rout HS, Roy B, Roy N, Roy P, Rubagotti E, S N C, Saad AMA, Saber-Ayad MM, Sabour S, Sacco S, Sachdev PS, Saddik B, Saddler A, Sadee BA, Sadeghi E, Sadeghi M, Saeb MR, Saeed U, Safi SZ, Sagar R, Sagoe D, Saif Z, Sajid MR, Sakshaug JW, Salam N, Salami AA, Salaroli LB, Saleh MA, Salem MR, Salem MZY, Sallam M, Samadzadeh S, Samargandy S, Samodra YL, Samy AM, Sanabria J, Sanna F, Santos IS, Santric-Milicevic MM, Sarasmita MA, Sarikhani Y, Sarmiento-Suárez R, Sarode GS, Sarode SC, Sarveazad A, Sathian B, Sathyanarayan A, Satpathy M, Sawhney M, Scarmeas N, Schaarschmidt BM, Schmidt MI, Schneider IJC, Schumacher AE, Schwebel DC, Schwendicke F, Sedighi M, Senapati S, Senthilkumaran S, Sepanlou SG, Sethi Y, Setoguchi S, Seylani A, Shadid J, Shafie M, Shah H, Shah NS, Shah PA, Shahbandi A, Shahid S, Shahid W, Shahwan MJ, Shaikh MA, Shakeri A, Shalash AS, Sham S, Shamim MA, Shamshirgaran MA, Shamsi MA, Shanawaz M, Shankar A, Shannawaz M, Sharath M, Sharifan A, Sharifi-Rad J, Sharma M, Sharma R, Sharma S, Sharma U, Sharma V, Shastry RP, Shavandi A, Shayan AM, Shayan M, Shehabeldine AME, Shetty PH, Shibuya K, Shifa JE, Shiferaw D, Shiferaw WS, Shigematsu M, Shiri R, Shitaye NA, Shittu A, Shivakumar KM, Shivarov V, Shokati Eshkiki Z, Shool S, Shrestha S, Shuval K, Sibhat MM, Siddig EE, Sigfusdottir ID, Silva DAS, Silva JP, Silva LMLR, Silva S, Simpson CR, Singal A, Singh A, Singh BB, Singh H, Singh JA, Singh M, Singh P, Skou ST, Sleet DA, Slepak ELN, Solanki R, Soliman SSM, Song S, Song Y, Sorensen RJD, Soriano JB, Soyiri IN, Spartalis M, Sreeramareddy CT, Stark BA, Starodubova AV, Stein C, Stein DJ, Steiner C, Steiner TJ, Steinmetz JD, Steiropoulos P, Stockfelt L, Stokes MA, Subedi NS, Subramaniyan V, Suemoto CK, Suleman M, Suliankatchi Abdulkader R, Sultana A, Sundström J, Swain CK, Szarpak L, Tabaee Damavandi P, Tabarés-Seisdedos R, Tabatabaei Malazy O, Tabatabaeizadeh SA, Tabatabai S, Tabche C, Tabish M, Tadakamadla SK, Taheri Abkenar Y, Taheri Soodejani M, Taherkhani A, Taiba J, Talaat IM, Talukder A, Tampa M, Tamuzi JL, Tan KK, Tandukar S, Tang H, Tavakoli Oliaee R, Tavangar SM, Teimoori M, Temsah MH, Teramoto M, Thangaraju P, Thankappan KR, Thapar R, Thayakaran R, Thirunavukkarasu S, Thomas N, Thomas NK, Thum CCC, Tichopad A, Ticoalu JHV, Tillawi T, Tiruye TY, Tobe-Gai R, Tonelli M, Topor-Madry R, Torre AE, Touvier M, Tovani-Palone MR, Tran JT, Tran MTN, Tran NM, Tran NH, Trico D, Tromans SJ, Truyen TTTT, Tsatsakis A, Tsegay GM, Tsermpini EE, Tumurkhuu M, Tyrovolas S, Udoh A, Umair M, Umakanthan S, Umar TP, Undurraga EA, Unim B, Unnikrishnan B, Unsworth CA, Upadhyay E, Urso D, Usman JS, Vahabi SM, Vaithinathan AG, Van den Eynde J, Varga O, Varma RP, Vart P, Vasankari TJ, Vasic M, Vaziri S, Vellingiri B, Venketasubramanian N, Veroux M, Verras GI, Vervoort D, Villafañe JH, Violante FS, Vlassov V, Vollset SE, Volovat SR, Vongpradith A, Waheed Y, Wang C, Wang F, Wang N, Wang S, Wang Y, Wang YP, Ward P, Wassie EG, Weaver MR, Weerakoon KG, Weintraub RG, Weiss DJ, Weldemariam AH, Wells KM, Wen YF, Whisnant JL, Whiteford HA, Wiangkham T, Wickramasinghe DP, Wickramasinghe ND, Wilandika A, Wilkerson C, Willeit P, Wimo A, Woldegebreal DH, Wolf AW, Wong YJ, Woolf AD, Wu C, Wu F, Wu X, Wu Z, Wulf Hanson S, Xia Y, Xiao H, Xu X, Xu YY, Yadav L, Yadollahpour A, Yaghoubi S, Yamagishi K, Yang L, Yano Y, Yao Y, Yaribeygi H, Yazdanpanah MH, Ye P, Yehualashet SS, Yesuf SA, Yezli S, Yiğit A, Yiğit V, Yigzaw ZA, Yismaw Y, Yon DK, Yonemoto N, Younis MZ, Yu C, Yu Y, Yusuf H, Zahid MH, Zakham F, Zaki L, Zaki N, Zaman BA, Zamora N, Zand R, Zandieh GGZ, Zar HJ, Zarrintan A, Zastrozhin MS, Zhang H, Zhang N, Zhang Y, Zhao H, Zhong C, Zhong P, Zhou J, Zhu Z, Ziafati M, Zielińska M, Zimsen SRM, Zoladl M, Zumla A, Zyoud SH, Vos T, Murray CJL. Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2133-2161. [PMID: 38642570 PMCID: PMC11122111 DOI: 10.1016/s0140-6736(24)00757-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 03/07/2024] [Accepted: 04/12/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Detailed, comprehensive, and timely reporting on population health by underlying causes of disability and premature death is crucial to understanding and responding to complex patterns of disease and injury burden over time and across age groups, sexes, and locations. The availability of disease burden estimates can promote evidence-based interventions that enable public health researchers, policy makers, and other professionals to implement strategies that can mitigate diseases. It can also facilitate more rigorous monitoring of progress towards national and international health targets, such as the Sustainable Development Goals. For three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has filled that need. A global network of collaborators contributed to the production of GBD 2021 by providing, reviewing, and analysing all available data. GBD estimates are updated routinely with additional data and refined analytical methods. GBD 2021 presents, for the first time, estimates of health loss due to the COVID-19 pandemic. METHODS The GBD 2021 disease and injury burden analysis estimated years lived with disability (YLDs), years of life lost (YLLs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries using 100 983 data sources. Data were extracted from vital registration systems, verbal autopsies, censuses, household surveys, disease-specific registries, health service contact data, and other sources. YLDs were calculated by multiplying cause-age-sex-location-year-specific prevalence of sequelae by their respective disability weights, for each disease and injury. YLLs were calculated by multiplying cause-age-sex-location-year-specific deaths by the standard life expectancy at the age that death occurred. DALYs were calculated by summing YLDs and YLLs. HALE estimates were produced using YLDs per capita and age-specific mortality rates by location, age, sex, year, and cause. 95% uncertainty intervals (UIs) were generated for all final estimates as the 2·5th and 97·5th percentiles values of 500 draws. Uncertainty was propagated at each step of the estimation process. Counts and age-standardised rates were calculated globally, for seven super-regions, 21 regions, 204 countries and territories (including 21 countries with subnational locations), and 811 subnational locations, from 1990 to 2021. Here we report data for 2010 to 2021 to highlight trends in disease burden over the past decade and through the first 2 years of the COVID-19 pandemic. FINDINGS Global DALYs increased from 2·63 billion (95% UI 2·44-2·85) in 2010 to 2·88 billion (2·64-3·15) in 2021 for all causes combined. Much of this increase in the number of DALYs was due to population growth and ageing, as indicated by a decrease in global age-standardised all-cause DALY rates of 14·2% (95% UI 10·7-17·3) between 2010 and 2019. Notably, however, this decrease in rates reversed during the first 2 years of the COVID-19 pandemic, with increases in global age-standardised all-cause DALY rates since 2019 of 4·1% (1·8-6·3) in 2020 and 7·2% (4·7-10·0) in 2021. In 2021, COVID-19 was the leading cause of DALYs globally (212·0 million [198·0-234·5] DALYs), followed by ischaemic heart disease (188·3 million [176·7-198·3]), neonatal disorders (186·3 million [162·3-214·9]), and stroke (160·4 million [148·0-171·7]). However, notable health gains were seen among other leading communicable, maternal, neonatal, and nutritional (CMNN) diseases. Globally between 2010 and 2021, the age-standardised DALY rates for HIV/AIDS decreased by 47·8% (43·3-51·7) and for diarrhoeal diseases decreased by 47·0% (39·9-52·9). Non-communicable diseases contributed 1·73 billion (95% UI 1·54-1·94) DALYs in 2021, with a decrease in age-standardised DALY rates since 2010 of 6·4% (95% UI 3·5-9·5). Between 2010 and 2021, among the 25 leading Level 3 causes, age-standardised DALY rates increased most substantially for anxiety disorders (16·7% [14·0-19·8]), depressive disorders (16·4% [11·9-21·3]), and diabetes (14·0% [10·0-17·4]). Age-standardised DALY rates due to injuries decreased globally by 24·0% (20·7-27·2) between 2010 and 2021, although improvements were not uniform across locations, ages, and sexes. Globally, HALE at birth improved slightly, from 61·3 years (58·6-63·6) in 2010 to 62·2 years (59·4-64·7) in 2021. However, despite this overall increase, HALE decreased by 2·2% (1·6-2·9) between 2019 and 2021. INTERPRETATION Putting the COVID-19 pandemic in the context of a mutually exclusive and collectively exhaustive list of causes of health loss is crucial to understanding its impact and ensuring that health funding and policy address needs at both local and global levels through cost-effective and evidence-based interventions. A global epidemiological transition remains underway. Our findings suggest that prioritising non-communicable disease prevention and treatment policies, as well as strengthening health systems, continues to be crucially important. The progress on reducing the burden of CMNN diseases must not stall; although global trends are improving, the burden of CMNN diseases remains unacceptably high. Evidence-based interventions will help save the lives of young children and mothers and improve the overall health and economic conditions of societies across the world. Governments and multilateral organisations should prioritise pandemic preparedness planning alongside efforts to reduce the burden of diseases and injuries that will strain resources in the coming decades. FUNDING Bill & Melinda Gates Foundation.
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Bouyahya A, Balahbib A, Khalid A, Makeen HA, Alhazmi HA, Albratty M, Hermansyah A, Ming LC, Goh KW, El Omari N. Clinical applications and mechanism insights of natural flavonoids against type 2 diabetes mellitus. Heliyon 2024; 10:e29718. [PMID: 38694079 PMCID: PMC11061711 DOI: 10.1016/j.heliyon.2024.e29718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/03/2024] [Accepted: 04/14/2024] [Indexed: 05/03/2024] Open
Abstract
Diabetes is a complex disease that affects a large percentage of the world's population, and it is associated with several risk factors. Self-management poses a significant challenge, but natural sources have shown great potential in providing effective glucose reducing solutions. Flavonoids, a class of bioactive substances found in different natural sources including medicinal plants, have emerged as promising candidates in this regard. Indeed, several flavonoids, including apigenin, arbutin, catechins, and cyanidin, have demonstrated remarkable anti-diabetic properties. The clinical effectiveness of these flavonoids is linked to their potential to decrease blood glucose concentration and increase insulin concentration. Thus, the regulation of certain metabolic pathways such as glycolysis and neoglycogenesis has also been demonstrated. In vitro and in vivo investigations revealed different mechanisms of action related to flavonoid compounds at subcellular, cellular, and molecular levels. The main actions reside in the activation of glycolytic signaling pathways and the inhibition of signaling that promotes glucose synthesis and storage. In this review, we highlight the clinical efficiency of natural flavonoids as well as the molecular mechanisms underlying this effectiveness.
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Khan A, Kashtoh H, Rauf A, Halim SA, Aleem AA, Bahadar H, Shareef H, Mabood F, Khalid A, Baek KH, Al-Harrasi A. Muscle relaxant and antipyretic effects of pentacyclic triterpenes isolated from the roots of Diospyros lotus L. Heliyon 2024; 10:e30547. [PMID: 38726163 PMCID: PMC11079251 DOI: 10.1016/j.heliyon.2024.e30547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 04/27/2024] [Accepted: 04/29/2024] [Indexed: 05/12/2024] Open
Abstract
The present article describes the muscle relaxant and antipyretic effects of pentacyclic triterpenes, oleanolic acid (OA), ursolic acid (UA) and betulinic acid (BA) isolated from roots of Diospyros lotus in animal models. The muscle relaxant effects of isolated pentacyclic triterpenes were determined by chimney and inclined plane tests. In the chimney test, pretreatment of pentacyclic triterpenes evoked significant dose dependent influence on muscle coordination. When administered intraperitoneally (i.p.) to mice at 10 mg/kg for 90 min, OA, UA, and BA exhibited muscle relaxant effects of 66.72 %, 60.21 %, and 50.77 %, respectively. Similarly, OA, UA, and BA (at 10 mg/kg) illustrated 65.74 %, 59.84 % and 51.40 % muscle relaxant effects in the inclined plane test. In the antipyretic test, significant amelioration was caused by pretreatment of all compounds in dose dependent manner. OA, UA, and BA (at 5 mg/kg) showed 39.32 %, 34.32 % and 29.99 % anti-hyperthermic effects, respectively 4 h post-treatment, while at 10 mg/kg, OA, UA, and BA exhibited 71.59 %, 60.99 % and 52.44 % impact, respectively. The muscle relaxant effect of benzodiazepines is well known for enhancement of GABA receptors. There may exist a similar mechanism for muscle relaxant effect of pentacyclic triterpenes. The in-silico predicted binding pattern of all the compounds reflects good affinity of compounds with GABAA receptor and COX-2. These results indicate that the muscle relaxant and antipyretic activities of these molecules can be further improved by structural optimization.
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El Omari N, Bakrim S, Khalid A, Abdalla AN, Iesa MAM, El Kadri K, Tang SY, Goh BH, Bouyahya A. Unveiling the molecular mechanisms: dietary phytosterols as guardians against cardiovascular diseases. NATURAL PRODUCTS AND BIOPROSPECTING 2024; 14:27. [PMID: 38722432 PMCID: PMC11082103 DOI: 10.1007/s13659-024-00451-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 04/22/2024] [Indexed: 05/12/2024]
Abstract
Until recently, the main pharmaceuticals used to control cholesterol and prevent cardiovascular disease (CVD) were statin-related drugs, known for their historical side effects. Therefore, there is growing interest in exploring alternatives, such as nutritional and dietary components, that could play a central role in CVD prevention. This review aims to provide a comprehensive understanding of how natural phytosterols found in various diets combat CVDs. We begin with a description of the overall approach, then we explore in detail the different direct and indirect mechanisms that contribute to reducing cardiovascular incidents. Phytosterols, including stigmasterol, β-sitosterol, ergosterol, and fucosterol, emerge as promising molecules within nutritional systems for protection against CVDs due to their beneficial effects at different levels through direct or indirect cellular, subcellular, and molecular mechanisms. Specifically, the mentioned phytosterols exhibit the ability to diminish the generation of various radicals, including hydroperoxides and hydrogen peroxide. They also promote the activation of antioxidant enzymes such as superoxide dismutase, catalase, and glutathione, while inhibiting lipid peroxidation through the activation of Nrf2 and Nrf2/heme oxygenase-1 (HO-1) signaling pathways. Additionally, they demonstrate a significant inhibitory capacity in the generation of pro-inflammatory cytokines, thus playing a crucial role in regulating the inflammatory/immune response by inhibiting the expression of proteins involved in cellular signaling pathways such as JAK3/STAT3 and NF-κB. Moreover, phytosterols play a key role in reducing cholesterol absorption and improving the lipid profile. These compounds can be used as dietary supplements or included in specific diets to aid control cholesterol levels, particularly in individuals suffering from hypercholesterolemia.
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Aanniz T, El Omari N, Elouafy Y, Benali T, Zengin G, Khalid A, Abdalla AN, Sakran AM, Bouyahya A. Innovative Encapsulation Strategies for Food, Industrial, and Pharmaceutical Applications. Chem Biodivers 2024; 21:e202400116. [PMID: 38462536 DOI: 10.1002/cbdv.202400116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/07/2024] [Accepted: 03/10/2024] [Indexed: 03/12/2024]
Abstract
Bioactive metabolites obtained from fruits and vegetables as well as many drugs have various capacities to prevent or treat various ailments. Nevertheless, their efficiency, in vivo, encounter many challenges resulting in lower efficacy as well as different side effects when high doses are used resulting in many challenges for their application. Indeed, demand for effective treatments with no or less unfavorable side effects is rising. Delivering active molecules to a particular site of action within the human body is an example of targeted therapy which remains a challenging field. Developments of nanotechnology and polymer science have great promise for meeting the growing demands of efficient options. Encapsulation of active ingredients in nano-delivery systems has become as a vitally tool for protecting the integrity of critical biochemicals, improving their delivery, enabling their controlled release and maintaining their biological features. Here, we examine a wide range of nano-delivery techniques, such as niosomes, polymeric/solid lipid nanoparticles, nanostructured lipid carriers, and nano-emulsions. The advantages of encapsulation in targeted, synergistic, and supportive therapies are emphasized, along with current progress in its application. Additionally, a revised collection of studies was given, focusing on improving the effectiveness of anticancer medications and addressing the problem of antimicrobial resistance. To sum up, this paper conducted a thorough analysis to determine the efficacy of encapsulation technology in the field of drug discovery and development.
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Bouyahya A, Bakrim S, Aboulaghras S, El Kadri K, Aanniz T, Khalid A, Abdalla AN, Abdallah AA, Ardianto C, Ming LC, El Omari N. Bioactive compounds from nature: Antioxidants targeting cellular transformation in response to epigenetic perturbations induced by oxidative stress. Biomed Pharmacother 2024; 174:116432. [PMID: 38520868 DOI: 10.1016/j.biopha.2024.116432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/09/2024] [Accepted: 03/15/2024] [Indexed: 03/25/2024] Open
Abstract
Oxidative stress results from a persistent imbalance in oxidation levels that promotes oxidants, playing a crucial role in the early and sustained phases of DNA damage and genomic and epigenetic instability, both of which are intricately linked to the development of tumors. The molecular pathways contributing to carcinogenesis in this context, particularly those related to double-strand and single-strand breaks in DNA, serve as indicators of DNA damage due to oxidation in cancer cases, as well as factors contributing to epigenetic instability through ectopic expressions. Oxidative stress has been considered a therapeutic target for many years, and an increasing number of studies have highlighted the promising effectiveness of natural products in cancer treatment. In this regard, we present significant research on the therapeutic targeting of oxidative stress using natural molecules and underscore the essential role of oxidative stress in cancer. The consequences of stress, especially epigenetic instability, also offer significant therapeutic prospects. In this context, the use of natural epi-drugs capable of modulating and reorganizing the epigenetic network is beginning to emerge remarkably. In this review, we emphasize the close connections between oxidative stress, epigenetic instability, and tumor transformation, while highlighting the role of natural substances as antioxidants and epi-drugs in the anti-tumoral context.
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Muhammad G, Hussain MA, Shafiq Z, Ashraf A, Shafique U, Khan A, Khalid A, Hussain J, Al-Harrasi A. Pharmacological and Therapeutic Potential of Berbamine: A Potent Alkaloid from Genus Berberis. Curr Top Med Chem 2024; 24:CTMC-EPUB-140066. [PMID: 38685780 DOI: 10.2174/0115680266289292240420062705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 05/02/2024]
Abstract
Berbamine (Ber) is an active medicinal bisbenzylisoquinoline alkaloid, which is usually obtained from different plants of the genus Berberis (family Berberidaceae) and is used to cure various disorders in traditional Chinese and Ayurvedic systems of medicine. Numerous in-vitro and in-vivo studies revealed the apoptotic and cytotoxic potential of Ber against different cell lines (SMMC-7721, A549, MDA-MB-231, and K562) by upregulating pro-apoptotic (Bax, p53) and downregulating anti-apoptotic (Bcl-2, survivin) proteins. Other pharmacological attributes ascribed to Ber included cardioprotective, anti-diabetic, anti-inflammatory, antimalarial, antioxidant, anti-hypercholesterolemic, and anti-allergic. Moreover, the synergistic effect of Ber improved the therapeutic potential of different drugs (paclitaxel (PTL), gemcitabine, dexamethasone, doxorubicin (DOX), and celecoxib) in different models. Various attempts could fabricate biologically active derivatives of Ber, such as 4-chlorobenzoyl berbamine (CBB) and O-4- ethoxyl-butyl-berbamine (EBB). The review focuses on the medicinal applications of Ber, particularly anti-cancer, cardioprotective, and anti-inflammatory, along with the mechanism of action.
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Mahomoodally MF, Coodian K, Hosenally M, Zengin G, Shariati MA, Abdalla AN, Alhazmi HA, Khuwaja G, Mohan S, Khalid A. Herbal remedies in the management of hyperuricemia and gout: A review of in vitro, in vivo and clinical evidences. Phytother Res 2024. [PMID: 38655878 DOI: 10.1002/ptr.8211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Revised: 03/31/2024] [Accepted: 04/02/2024] [Indexed: 04/26/2024]
Abstract
Gout, or hyperuricemia is a multifactorial and multi-faceted metabolic disease that is quite difficult to manage and/or treat. Conventional therapies such as non-steroidal anti-inflammatory drugs (NSAIDs) such as allopurinol, corticosteroids and colchicine amongst others, have helped in its management and treatment to some extent. This study aimed to compile and analyze the different herbal remedies used in the management of hyperuricemia and gout. A literature search was conducted from key databases (PubMed, ScienceDirect, Cochrane Library, Google Scholar) using relevant keywords via the PRISMA model. Smilax riparia A.DC. from Traditional Chinese Medicine is used in many countries for its therapeutic effect on lowering serum urate levels. No single study was able to establish the efficacy of a specific traditionally used herb via in vitro, in vivo, and clinical studies. Patients were found to use a panoply of natural remedies, mainly plants to treat hyperuricemia and gout, which have been validated to some extent by in vitro, in vivo, and clinical studies. Nonetheless, further research is needed to better understand the ethnopharmacological relationship of such herbal remedies.
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Hayat C, Subramaniyan V, Alamri MA, Wong LS, Khalid A, Abdalla AN, Afridi SG, Kumarasamy V, Wadood A. Identification of new potent NLRP3 inhibitors by multi-level in-silico approaches. BMC Chem 2024; 18:76. [PMID: 38637900 PMCID: PMC11027297 DOI: 10.1186/s13065-024-01178-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/02/2024] [Indexed: 04/20/2024] Open
Abstract
Nod-like receptor protein 3 (NLRP-3), is an intracellular sensor that is involved in inflammasome activation, and the aberrant expression of NLRP3 is responsible for diabetes mellitus, its complications, and many other inflammatory diseases. NLRP3 is considered a promising drug target for novel drug design. Here, a pharmacophore model was generated from the most potent inhibitor, and its validation was performed by the Gunner-Henry scoring method. The validated pharmacophore was used to screen selected compounds databases. As a result, 646 compounds were mapped on the pharmacophore model. After applying Lipinski's rule of five, 391 hits were obtained. All the hits were docked into the binding pocket of target protein. Based on docking scores and interactions with binding site residues, six compounds were selected potential hits. To check the stability of these compounds, 100 ns molecular dynamic (MD) simulations were performed. The RMSD, RMSF, DCCM and hydrogen bond analysis showed that all the six compounds formed stable complex with NLRP3. The binding free energy with the MM-PBSA approach suggested that electrostatic force, and van der Waals interactions, played a significant role in the binding pattern of these compounds. Thus, the outcomes of the current study could provide insights into the identification of new potential NLRP3 inflammasome inhibitors against diabetes and its related disorders.
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Ullah A, Ullah S, Waqas M, Khan M, Rehman NU, Khalid A, Jan A, Aziz S, Naeem M, Halim S, Khan A, Al-Harrasi A. Novel Natural Inhibitors for Glioblastoma by Targeting Epidermal Growth Factor Receptor and Phosphoinositide 3-kinase. Curr Med Chem 2024; 31:CMC-EPUB-139695. [PMID: 38616761 DOI: 10.2174/0109298673293279240404080046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 03/12/2024] [Accepted: 03/18/2024] [Indexed: 04/16/2024]
Abstract
BACKGROUND/AIM Glioblastoma is an extensively malignant neoplasm of the brain that predominantly impacts the human population. To address the challenge of glioblastoma, herein, we have searched for new drug-like candidates by extensive computational and biochemical investigations. METHOD Approximately 950 compounds were virtually screened against the two most promising targets of glioblastoma, i.e., epidermal growth factor receptor (EGFR) and phosphoinositide 3-kinase (PI3K). Based on highly negative docking scores, excellent binding capabilities and good pharmacokinetic properties, eight and seven compounds were selected for EGFR and PI3K, respectively. RESULTS Among those hits, four natural products (SBEH-40, QUER, QTME-12, and HCFR) exerted dual inhibitory effects on EGFR and PI3K in our in-silico analysis; therefore, their capacity to suppress the cell proliferation was assessed in U87 cell line (type of glioma cell line). The compounds SBEH-40, QUER, andQTME-12 exhibited significant anti-proliferative capability with IC50 values of 11.97 ± 0.73 μM, 28.27 ± 1.52 μM, and 22.93 ± 1.63 μM respectively, while HCFR displayed weak inhibitory potency (IC50 = 74.97 ± 2.30 μM). CONCLUSION This study has identified novel natural products that inhibit the progression of glioblastoma; however, further examinations of these molecules are required in animal and tissue models to better understand their downstream targeting mechanisms.
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Waqas M, Ullah S, Ahsan Halim S, Ullah I, Najeeb Ur Rehman, Jan A, Khalid A, Ali A, Khan A, Al-Harrasi A. Discovery of Novel Natural Inhibitors Against SARS-CoV-2 Main Protease: A Rational Approach to Antiviral Therapeutics. Curr Med Chem 2024; 31:CMC-EPUB-139622. [PMID: 38591207 DOI: 10.2174/0109298673292839240329081008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 03/05/2024] [Accepted: 03/12/2024] [Indexed: 04/10/2024]
Abstract
BACKGROUND/AIM The global pandemic caused by the novel SARS-CoV-2 virus underscores the urgent need for therapeutic interventions. Targeting the virus's main protease (Mpro), crucial for viral replication, is a promising strategy. OBJECTIVE The current study aims to discover novel inhibitors of Mpro. METHODS The current study identified five natural compounds (myrrhanol B (C1), myrrhanone B (C2), catechin (C3), quercetin (C4), and feralolide (C5) with strong inhibitory potential against Mpro through virtual screening and computational methods, predicting their binding efficiencies and validated it using the in-vitro inhibition activity. The selected compound's toxicity was examined using the MTT assay on a human BJ cell line. RESULTS Compound C1 exhibited the highest binding affinity, with a docking score of -9.82 kcal/mol and strong hydrogen bond interactions within Mpro's active site. A microscale molecular dynamics simulation confirmed the stability and tight fit of the compounds in the protein's active pocket, showing superior binding interactions. in vitro assays validated their inhibitory effects, with C1 having the most significant potency (IC50 = 2.85 μM). The non-toxic nature of these compounds in human BJ cell lines was also confirmed, advocating their safety profile. CONCLUSION These findings highlight the effectiveness of combining computational and experimental approaches to identify potential lead compounds for SARS-CoV-2, with C1-C5 emerging as promising candidates for further drug development against this virus.
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Ismail M, Ahmad R, Halim SA, Khan AA, Ullah S, Latif A, Ahmad M, Khan A, Ozdemir FA, Khalid A, Al-Harrasi A, Ali M. Synthesis of hydrazone-based polyhydroquinoline derivatives - antibacterial activities, α-glucosidase inhibitory capability, and DFT study. RSC Adv 2024; 14:10978-10994. [PMID: 38577436 PMCID: PMC10993858 DOI: 10.1039/d4ra00045e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 02/15/2024] [Indexed: 04/06/2024] Open
Abstract
In recent years, polyhydroquinolines have gained much attention due to their widespread applications in medicine, agriculture, industry, etc. Here, we synthesized a series of novel hydrazone-based polyhydroquinoline derivatives via multi-step reactions. These molecules were characterized by modern spectroscopic techniques (1H-NMR, 13C NMR, and LC-HRMS) and their antibacterial and in vitro α-glucosidase inhibitory activities were assessed. Compound 8 was found to be the most active inhibitor against Listeria monocytogenes NCTC 5348, Bacillus subtilis IM 622, Brevibacillus brevis, and Bacillus subtilis ATCC 6337 with a zone of inhibition of 15.3 ± 0.01, 13.2 ± 0.2, 13.1 ± 0.1, and 12.6 ± 0.3 mm, respectively. Likewise, compound 8 also exhibited the most potent inhibitory potential for α-glucosidase (IC50 = 5.31 ± 0.25 μM) in vitro, followed by compounds 10 (IC50 = 6.70 ± 0.38 μM), and 12 (IC50 = 6.51 ± 0.37 μM). Furthermore, molecular docking and DFT analysis of these compounds showed good agreement with experimental work and the nonlinear optical properties calculated here indicate that these compounds are good candidates for nonlinear optics.
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Khan A, Zia K, Khan SA, Khalid A, Abdalla AN, Bibi M, Ul-Haq Z. Identification of IL-2 inducible tyrosine kinase inhibitors by quantum mechanics and ligand based virtual screening approaches. J Biomol Struct Dyn 2024; 42:3630-3640. [PMID: 37216319 DOI: 10.1080/07391102.2023.2214220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Accepted: 05/10/2023] [Indexed: 05/24/2023]
Abstract
Interleukin-2-inducible T-cell kinase (ITK) is a crucial intracellular signaling mediator in normal and malignant T-cells and natural killer cells. Selective inhibition of ITK might be useful for treating a variety of disorders including; autoimmune, inflammatory, and neoplastic disorders. Over the past two decades, the clinical management of ITK inhibitors has progressed dramatically. So far, specific inhibitor with no off-target effects against ITK is available. Herein, we aim to discover potential virtual hits to fasten the process of drug design and development against ITK. In this regard, the key chemical characteristics of ITK inhibitors were identified using ligand-based pharmacophore modeling. The validated pharmacophore comprises one hydrogen bond donor and three hydrogen bond acceptors and was utilized as a 3D query in virtual screening using ZINC, Covalent, and in-house databases. A total of 12 hit compounds were chosen on the basis of their critical interactions with the significant amino acids of ITK. The orbital energies such as HOMO and LUMO of the hit compounds were calculated to evaluate the inhibitor's potencies. Further, molecular dynamics simulation demonstrated the stability of ITK upon binding of selected virtual hits. Binding energy using the MMGBSA method showed the potential binding affinity of all the hits with ITK. The research identifies key chemical characteristics with geometric restrictions that lead to ITK inhibition.Communicated by Ramaswamy H. Sarma.
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Aanniz T, Bouyahya A, Balahbib A, El Kadri K, Khalid A, Makeen HA, Alhazmi HA, El Omari N, Zaid Y, Wong RSY, Yeo CI, Goh BH, Bakrim S. Natural bioactive compounds targeting DNA methyltransferase enzymes in cancer: Mechanisms insights and efficiencies. Chem Biol Interact 2024; 392:110907. [PMID: 38395253 DOI: 10.1016/j.cbi.2024.110907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 01/06/2024] [Accepted: 02/07/2024] [Indexed: 02/25/2024]
Abstract
The regulation of gene expression is fundamental to health and life and is essentially carried out at the promoter region of the DNA of each gene. Depending on the molecular context, this region may be accessible or non-accessible (possibility of integration of RNA polymerase or not at this region). Among enzymes that control this process, DNA methyltransferase enzymes (DNMTs), are responsible for DNA demethylation at the CpG islands, particularly at the promoter regions, to regulate transcription. The aberrant activity of these enzymes, i.e. their abnormal expression or activity, can result in the repression or overactivation of gene expression. Consequently, this can generate cellular dysregulation leading to instability and tumor development. Several reports highlighted the involvement of DNMTs in human cancers. The inhibition or activation of DNMTs is a promising therapeutic approach in many human cancers. In the present work, we provide a comprehensive and critical summary of natural bioactive molecules as primary inhibitors of DNMTs in human cancers. The active compounds hold the potential to be developed as anti-cancer epidrugs targeting DNMTs.
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Islam WU, Khan A, Khan F, Ullah S, Waqas M, Khan H, Khan M, Rahman SM, Ali S, Mateen A, Khalid A, Khan A, Al-Harrasi A. Synthesis of novel hydrazide Schiff bases with anti-diabetic and anti-hyperlipidemic effects: in-vitro, in-vivo and in-silico approaches. J Biomol Struct Dyn 2024:1-12. [PMID: 38533896 DOI: 10.1080/07391102.2024.2329296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 03/06/2024] [Indexed: 03/28/2024]
Abstract
The increasing global incidence of non-insulin-dependent diabetes mellitus (NIDDM) necessitates innovative therapeutic solutions. This study focuses on the design, synthesis and biological evaluation of Schiff base derivatives from 2-bromo-2-(2-chlorophenyl) acetic acid, particularly hydrazone compounds 4a and 4b. Both in-vitro and in-vivo assays demonstrate these derivatives' strong antidiabetic and anti-hyperlipidemic properties. In a 15-d experiment, we administered 4a and 4b at doses of 2.5 and 5 mg/kg body weight, which effectively improved symptoms of alloxan-induced diabetes in mice. These symptoms included weight loss, increased water consumption and high blood glucose levels. The compounds also normalized abnormal levels of total cholesterol (TC), triacylglycerol (TG) and low-density lipoprotein cholesterol (LDL-C), while raising the levels of high-density lipoprotein cholesterol (HDLC). Computational analysis showed that these compounds effectively inhibited the α-glucosidase enzyme by interacting with key catalytic residues, specifically Asp214 and Asp349. These computational results were confirmed through in-vitro tests, where 4a and 4b showed strong α-glucosidase inhibitory activity, with IC50 values of 0.70 ± 0.11 and 10.29 ± 0.30 µM, respectively. These compounds were more effective than the standard drug, acarbose, which had an IC50 value of 873.34 ± 1.67 µM. Mechanistic studies further indicated competitive inhibition, reinforcing the therapeutic potential of 4a and 4b for NIDDM treatment.Communicated by Ramaswamy H. Sarma.
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Ul Ain S, Khan MS, Riaz N, Khan A, Sarwar A, Khalid A, Jan A, Mahmood Q, Al-Harrasi A. Surface-Functionalized Magnetic Silica-Malachite Tricomposite (Fe-M-Si tricomposite): A Promising Adsorbent for the Removal of Cypermethrin. ACS OMEGA 2024; 9:13803-13817. [PMID: 38559912 PMCID: PMC10976406 DOI: 10.1021/acsomega.3c08419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/26/2024] [Accepted: 02/07/2024] [Indexed: 04/04/2024]
Abstract
This study assessed the efficacy of adsorption for eliminating the agricultural pesticide cypermethrin (CP) from wastewater using various adsorbents: silica, malachite, and magnetite. Magnetic nanocomposites (NCs) (with varying amounts of Fe3O4 0.1, 0.25, 0.5, 1.0, and 1.5 wt/wt %) were synthesized, including Fe3O4 nanoparticles (NPs), bicomposites, and tricomposites, calcined at 300 and 500 °C, and then tested for CP removal. The study was conducted in two phases, with the objective of initially assessing how effectively each individual NP performed and then evaluating how effectively the NCs performed when used for the adsorption of CP. Notably, the Fe3O4-malachite combination exhibited superior CP removal, with the 0.25-Fe-M NC achieving the highest adsorption at 635.4 mg/g. This success was attributed to the large surface area, magnetic properties of Fe3O4, and adsorption capabilities of malachite. The Brunauer-Emmett-Teller (BET) isotherm analysis indicated that the NCs had potential applications in adsorption and separation processes. The scanning electron microscopy and transmission electron microscopy revealed the spherical, irregular shaped morphology of the synthesized NPs and NCs. However, the X-ray diffraction (XRD) pattern of surface functionalized materials such as surface functionalized malachite [Cu2CO3(OH)2] with Fe3O4 and SiO2 may be complicated by the specific functionalization method used and the relative amounts and crystallographic orientations of each component. Therefore, careful interpretation and analysis of the XRD pattern, along with other techniques, are necessary for accurate identification and characterization of the functionalized material. The originality of this study lies in its comprehensive investigation of several adsorbents and NCs for CP removal at neutral pH. The innovation stems from the synergistic action of Fe3O4 and malachite, which results in improved CP removal due to their combined surface properties and magnetic characteristics. The application of magnetic NCs in adsorption and separation, as validated by BET isotherm analysis, highlights the potential breakthrough in addressing pesticide contamination.
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Ajmal A, Alkhatabi HA, Alreemi RM, Alamri MA, Khalid A, Abdalla AN, Alotaibi BS, Wadood A. Prospective virtual screening combined with bio-molecular simulation enabled identification of new inhibitors for the KRAS drug target. BMC Chem 2024; 18:57. [PMID: 38528576 DOI: 10.1186/s13065-024-01152-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/26/2024] [Indexed: 03/27/2024] Open
Abstract
Lung cancer is a disease with a high mortality rate and it is the number one cause of cancer death globally. Approximately 12-14% of non-small cell lung cancers are caused by mutations in KRASG12C. The KRASG12C is one of the most prevalent mutants in lung cancer patients. KRAS was first considered undruggable. The sotorasib and adagrasib are the recently approved drugs that selectively target KRASG12C, and offer new treatment approaches to enhance patient outcomes however drug resistance frequently arises. Drug development is a challenging, expensive, and time-consuming process. Recently, machine-learning-based virtual screening are used for the development of new drugs. In this study, we performed machine-learning-based virtual screening followed by molecular docking, all atoms molecular dynamics simulation, and binding energy calculations for the identifications of new inhibitors against the KRASG12C mutant. In this study, four machine learning models including, random forest, k-nearest neighbors, Gaussian naïve Bayes, and support vector machine were used. By using an external dataset and 5-fold cross-validation, the developed models were validated. Among all the models the performance of the random forest (RF) model was best on the train/test dataset and external dataset. The random forest model was further used for the virtual screening of the ZINC15 database, in-house database, Pakistani phytochemicals, and South African Natural Products database. A total of 100 ns MD simulation was performed for the four best docking score complexes as well as the standard compound in complex with KRASG12C. Furthermore, the top four hits revealed greater stability and greater binding affinities for KRASG12C compared to the standard drug. These new hits have the potential to inhibit KRASG12C and may help to prevent KRAS-associated lung cancer. All the datasets used in this study can be freely available at ( https://github.com/Amar-Ajmal/Datasets-for-KRAS ).
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Khan AA, Khan A, Khan S, Shah N, Khan A, Nawaz F, Khalid A, Jan A, Al-Harrasi A. Preparation and characterization of sulphur and zinc oxide Co-doped graphitic carbon nitride for photo-assisted removal of Safranin-O dye. RSC Adv 2024; 14:8871-8884. [PMID: 38495991 PMCID: PMC10941262 DOI: 10.1039/d3ra07247a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 03/06/2024] [Indexed: 03/19/2024] Open
Abstract
Recently, there has been significant interest in photocatalytic reactions involving graphitic carbon nitride (g-C3N4) due to its sp2-hybridized carbon and nitrogen content and it is an ideal candidate for blending with other materials to enhance performance. Here, we have synthesized and analyzed both doped and undoped g-C3N4 nanoparticles. Specifically, we co-doped sulfur (S) into g-C3N4, integrated it with ZnO particles, and investigated the photocatalytic potential of these nanocomposites to remove Safranin-O dye. The initial step involved the preparation of pure g-C3N4 through calcination of urea. Subsequently, S-g-C3N4 was synthesized by calcining a mixture of urea and thiourea with a 3 : 1 ratio. Finally, the ZnO-S-g-C3N4 composite was synthesized using the liquid exfoliation technique, with distilled water serving as the exfoliating solvent. These samples were characterized by advanced techniques, including UV-Vis spectroscopy, Fourier-transform infrared spectroscopy (FTIR), X-ray Diffraction (XRD), energy dispersive X-ray (EDX) and scanning electron microscopy (SEM), to assess their crystallinity, morphology, optical properties, and phase purity. Subsequently, these nanocomposites were employed in catalytic and photocatalytic processes to remove the Safranin-O dye (SO). The results highlighted the formation of Z-scheme junction responsible for ZnO-S-g-C3N4's significant performance improvement. The comparison of results demonstrated that S-g-C3N4 and ZnO-S-g-C3N4 composites revealed an effective removal of Safranin-O dye in the presence of UV-light as compared to pure g-C3N4, as it was attributed to the phenomenon of improved separation of photogenerated charge carriers as a result of heterojunction formation between S-g-C3N4 and ZnO interfaces. In addition to improving photocatalytic performance, this study presents a facile route for producing ZnO-S-g-C3N4 composite with superior adsorption capabilities and selectivity.
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Awad TA, Alfatih F, Shafiq M, Abdalla M, Al-Shouli ST, Bashir A, Awadalla ME, Alhazmi HA, Albratty M, Makeen HA, Khalid A, Ul-Haq Z. Evaluation of chalcones as new glycogen phosphorylase inhibitors - an in-vitro and in-silico approach. Nat Prod Res 2024:1-8. [PMID: 38444284 DOI: 10.1080/14786419.2024.2324110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 02/20/2024] [Indexed: 03/07/2024]
Abstract
Diabetes mellitus (DM) remains one of the pivotal diseases that have drawn the attention of researchers recently and during the last few decades. Due to its devastating symptoms, attempts to develop new drugs with mild side effects have resulted in a number of drugs that are functioning through various mechanisms. Among these, Glycogen phosphorylase (GP) inhibitors emerged as a new strategy for combating DM. GP is an enzyme that regulates blood glucose levels; it catalyses the breakdown of glycogen to glucose-1-phosphate in the liver and tissues with high and fluctuating energy demands. In the present research, we evaluate the possibility of type 2 diabetes therapy with the help of chalcones which are known to have antidiabetic activities. For this purpose, 29 chalcones were modelled, synthesised and investigated for their inhibitory activity against GP using in-vitro methods. Compounds 1, 2, and 3 were found to be the most potent compounds with IC50 values 26.6, 57.1 and 75.6 µM respectively. The observed results were further validated using in-silico methods. Molecular docking simulation revealed interaction patterns that explain the structure-activity relationships of the compounds with GP. Molecular dynamic (MD) simulation demonstrated a stable complex formation between compound 1 and GP through lower value and uniformity in root mean square deviation (RMSD) of the complex and root mean square fluctuation (RMSF) of the protein Cα.
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