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Gorre ME, Mohammed M, Ellwood K, Hsu N, Paquette R, Rao PN, Sawyers CL. Clinical resistance to STI-571 cancer therapy caused by BCR-ABL gene mutation or amplification. Science 2001; 293:876-80. [PMID: 11423618 DOI: 10.1126/science.1062538] [Citation(s) in RCA: 2317] [Impact Index Per Article: 96.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Clinical studies with the Abl tyrosine kinase inhibitor STI-571 in chronic myeloid leukemia demonstrate that many patients with advanced stage disease respond initially but then relapse. Through biochemical and molecular analysis of clinical material, we find that drug resistance is associated with the reactivation of BCR-ABL signal transduction in all cases examined. In six of nine patients, resistance was associated with a single amino acid substitution in a threonine residue of the Abl kinase domain known to form a critical hydrogen bond with the drug. This substitution of threonine with isoleucine was sufficient to confer STI-571 resistance in a reconstitution experiment. In three patients, resistance was associated with progressive BCR-ABL gene amplification. These studies provide evidence that genetically complex cancers retain dependence on an initial oncogenic event and suggest a strategy for identifying inhibitors of STI-571 resistance.
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MESH Headings
- Amino Acid Sequence
- Amino Acid Substitution
- Antineoplastic Agents/metabolism
- Antineoplastic Agents/pharmacology
- Antineoplastic Agents/therapeutic use
- Base Sequence
- Benzamides
- Blast Crisis/genetics
- Cell Line
- Drug Resistance, Neoplasm/genetics
- Fusion Proteins, bcr-abl/metabolism
- Gene Amplification
- Genes, abl
- Humans
- Hydrogen Bonding
- Imatinib Mesylate
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/genetics
- Molecular Sequence Data
- Philadelphia Chromosome
- Phosphorylation
- Piperazines/metabolism
- Piperazines/pharmacology
- Piperazines/therapeutic use
- Point Mutation
- Protein Structure, Tertiary
- Proto-Oncogene Proteins/metabolism
- Proto-Oncogene Proteins c-abl/antagonists & inhibitors
- Proto-Oncogene Proteins c-abl/chemistry
- Proto-Oncogene Proteins c-abl/genetics
- Proto-Oncogene Proteins c-abl/metabolism
- Proto-Oncogene Proteins c-crk
- Pyrimidines/metabolism
- Pyrimidines/pharmacology
- Pyrimidines/therapeutic use
- Recurrence
- Signal Transduction
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Global burden and strength of evidence for 88 risk factors in 204 countries and 811 subnational locations, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet 2024; 403:2162-2203. [PMID: 38762324 PMCID: PMC11120204 DOI: 10.1016/s0140-6736(24)00933-4] [Show More Authors] [Citation(s) in RCA: 544] [Impact Index Per Article: 544.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/11/2024] [Accepted: 05/02/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Understanding the health consequences associated with exposure to risk factors is necessary to inform public health policy and practice. To systematically quantify the contributions of risk factor exposures to specific health outcomes, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 aims to provide comprehensive estimates of exposure levels, relative health risks, and attributable burden of disease for 88 risk factors in 204 countries and territories and 811 subnational locations, from 1990 to 2021. METHODS The GBD 2021 risk factor analysis used data from 54 561 total distinct sources to produce epidemiological estimates for 88 risk factors and their associated health outcomes for a total of 631 risk-outcome pairs. Pairs were included on the basis of data-driven determination of a risk-outcome association. Age-sex-location-year-specific estimates were generated at global, regional, and national levels. Our approach followed the comparative risk assessment framework predicated on a causal web of hierarchically organised, potentially combinative, modifiable risks. Relative risks (RRs) of a given outcome occurring as a function of risk factor exposure were estimated separately for each risk-outcome pair, and summary exposure values (SEVs), representing risk-weighted exposure prevalence, and theoretical minimum risk exposure levels (TMRELs) were estimated for each risk factor. These estimates were used to calculate the population attributable fraction (PAF; ie, the proportional change in health risk that would occur if exposure to a risk factor were reduced to the TMREL). The product of PAFs and disease burden associated with a given outcome, measured in disability-adjusted life-years (DALYs), yielded measures of attributable burden (ie, the proportion of total disease burden attributable to a particular risk factor or combination of risk factors). Adjustments for mediation were applied to account for relationships involving risk factors that act indirectly on outcomes via intermediate risks. Attributable burden estimates were stratified by Socio-demographic Index (SDI) quintile and presented as counts, age-standardised rates, and rankings. To complement estimates of RR and attributable burden, newly developed burden of proof risk function (BPRF) methods were applied to yield supplementary, conservative interpretations of risk-outcome associations based on the consistency of underlying evidence, accounting for unexplained heterogeneity between input data from different studies. Estimates reported represent the mean value across 500 draws from the estimate's distribution, with 95% uncertainty intervals (UIs) calculated as the 2·5th and 97·5th percentile values across the draws. FINDINGS Among the specific risk factors analysed for this study, particulate matter air pollution was the leading contributor to the global disease burden in 2021, contributing 8·0% (95% UI 6·7-9·4) of total DALYs, followed by high systolic blood pressure (SBP; 7·8% [6·4-9·2]), smoking (5·7% [4·7-6·8]), low birthweight and short gestation (5·6% [4·8-6·3]), and high fasting plasma glucose (FPG; 5·4% [4·8-6·0]). For younger demographics (ie, those aged 0-4 years and 5-14 years), risks such as low birthweight and short gestation and unsafe water, sanitation, and handwashing (WaSH) were among the leading risk factors, while for older age groups, metabolic risks such as high SBP, high body-mass index (BMI), high FPG, and high LDL cholesterol had a greater impact. From 2000 to 2021, there was an observable shift in global health challenges, marked by a decline in the number of all-age DALYs broadly attributable to behavioural risks (decrease of 20·7% [13·9-27·7]) and environmental and occupational risks (decrease of 22·0% [15·5-28·8]), coupled with a 49·4% (42·3-56·9) increase in DALYs attributable to metabolic risks, all reflecting ageing populations and changing lifestyles on a global scale. Age-standardised global DALY rates attributable to high BMI and high FPG rose considerably (15·7% [9·9-21·7] for high BMI and 7·9% [3·3-12·9] for high FPG) over this period, with exposure to these risks increasing annually at rates of 1·8% (1·6-1·9) for high BMI and 1·3% (1·1-1·5) for high FPG. By contrast, the global risk-attributable burden and exposure to many other risk factors declined, notably for risks such as child growth failure and unsafe water source, with age-standardised attributable DALYs decreasing by 71·5% (64·4-78·8) for child growth failure and 66·3% (60·2-72·0) for unsafe water source. We separated risk factors into three groups according to trajectory over time: those with a decreasing attributable burden, due largely to declining risk exposure (eg, diet high in trans-fat and household air pollution) but also to proportionally smaller child and youth populations (eg, child and maternal malnutrition); those for which the burden increased moderately in spite of declining risk exposure, due largely to population ageing (eg, smoking); and those for which the burden increased considerably due to both increasing risk exposure and population ageing (eg, ambient particulate matter air pollution, high BMI, high FPG, and high SBP). INTERPRETATION Substantial progress has been made in reducing the global disease burden attributable to a range of risk factors, particularly those related to maternal and child health, WaSH, and household air pollution. Maintaining efforts to minimise the impact of these risk factors, especially in low SDI locations, is necessary to sustain progress. Successes in moderating the smoking-related burden by reducing risk exposure highlight the need to advance policies that reduce exposure to other leading risk factors such as ambient particulate matter air pollution and high SBP. Troubling increases in high FPG, high BMI, and other risk factors related to obesity and metabolic syndrome indicate an urgent need to identify and implement interventions. FUNDING Bill & Melinda Gates Foundation.
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Global, regional, and national burden of disorders affecting the nervous system, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurol 2024; 23:344-381. [PMID: 38493795 PMCID: PMC10949203 DOI: 10.1016/s1474-4422(24)00038-3] [Show More Authors] [Citation(s) in RCA: 438] [Impact Index Per Article: 438.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Disorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021. METHODS We estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined. FINDINGS Globally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378-521), affecting 3·40 billion (3·20-3·62) individuals (43·1%, 40·5-45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7-26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6-38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5-32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7-2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer. INTERPRETATION As the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed. FUNDING Bill & Melinda Gates Foundation.
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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] [Show More Authors] [Citation(s) in RCA: 235] [Impact Index Per Article: 235.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [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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Benkhalifa M, Kasakyan S, Clement P, Baldi M, Tachdjian G, Demirol A, Gurgan T, Fiorentino F, Mohammed M, Qumsiyeh MB. Array comparative genomic hybridization profiling of first-trimester spontaneous abortions that fail to growin vitro. Prenat Diagn 2005; 25:894-900. [PMID: 16088865 DOI: 10.1002/pd.1230] [Citation(s) in RCA: 100] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVES Cytogenetic analysis of spontaneous abortion samples can be limited by culture failure. Failure to grow in vitro has traditionally been suspected to be due to in vivo death of tissue associated with spontaneous abortion (SAB) or simply technical factors of growth in culture. METHOD We used array comparative genomic hybridization (array CGH) to investigate chromosomal imbalances in products of conception that failed to grow in vitro. RESULTS Our data on 26 cases of SABs that failed to grow in culture are compared and contrasted with published data on cytogenetic findings following in vitro culture. The results revealed abnormalities uncommonly seen by classic cytogenetic methods. These abnormalities include high rates of double aneuploidy and autosomal monosomy. The data taken together suggest that classic cytogenetics of spontaneous abortion may yield normal karyotypes or selected abnormal karyotypes that permit cell proliferation in vitro while Array CGH detects other abnormalities. CONCLUSION Array CGH is becoming an important clinical assay for unbalanced chromosome abnormalities whether cells grow in culture or not and in cases of analysis on one or few cells.
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Berkley JA, Ross A, Mwangi I, Osier FHA, Mohammed M, Shebbe M, Lowe BS, Marsh K, Newton CRJC. Prognostic indicators of early and late death in children admitted to district hospital in Kenya: cohort study. BMJ 2003; 326:361. [PMID: 12586667 PMCID: PMC148891 DOI: 10.1136/bmj.326.7385.361] [Citation(s) in RCA: 95] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To identify clinical indicators of immediate, early, and late mortality in children at admission to a sub-Saharan district hospital and to develop prognostic scores. DESIGN Prospective cohort study. SETTING One district hospital in Kenya. PARTICIPANTS Children aged over 90 days admitted to hospital from 1 July 1998 to 30 June 2001. MAIN OUTCOME MEASURES Prognostic indicators of mortality. RESULTS Of 8091 children admitted up to 1 June 2000, 436 (5%) died. Sixty (14%) died within four hours after admission (immediate), 193 (44%) after 4-48 hours (early), and 183 (42%) after 48 hours (late). There were marked differences in the clinical features associated with immediate, early, and late death. Seven indicators (neurological status, respiratory distress (subcostal indrawing or deep breathing), nutritional status (wasting or kwashiorkor), severe anaemia, jaundice, axillary temperature, and length of history) were included in simplified prognostic scores. Data from 4802 children admitted from 1 July 2000 to 30 June 2001 were used to validate the scores. For simplified prognostic scores the areas under the receiver operating characteristic curves were 0.93 (95% confidence interval 0.92 to 0.94), 0.82 (0.80 to 0.83), and 0.82 (0.81 to 0.84) for immediate, early, and late death, respectively. CONCLUSION In children admitted to a sub-Saharan hospital, the prognostic indicators of early and late deaths differ but a small number of simple clinical signs predict outcome well.
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Sartorius B, Gray AP, Davis Weaver N, Robles Aguilar G, Swetschinski LR, Ikuta KS, Mestrovic T, Chung E, Wool EE, Han C, Gershberg Hayoon A, Araki DT, Abd-Elsalam S, Aboagye RG, Adamu LH, Adepoju AV, Ahmed A, Akalu GT, Akande-Sholabi W, Amuasi JH, Amusa GA, Argaw AM, Aruleba RT, Awoke T, Ayalew MK, Azzam AY, Babin FX, Banerjee I, Basiru A, Bayileyegn NS, Belete MA, Berkley JA, Bielicki JA, Dekker D, Demeke D, Demsie DG, Dessie AM, Dunachie SJ, Ed-Dra A, Ekholuenetale M, Ekundayo TC, El Sayed I, Elhadi M, Elsohaby I, Eyre D, Fagbamigbe AF, Feasey NA, Fekadu G, Fell F, Forrest KM, Gebrehiwot M, Gezae KE, Ghazy RM, Hailegiyorgis TT, Haines-Woodhouse G, Hasaballah AI, Haselbeck AH, Hsia Y, Iradukunda A, Iregbu KC, Iwu CCD, Iwu-Jaja CJ, Iyasu AN, Jaiteh F, Jeon H, Joshua CE, Kassa GG, Katoto PDMC, Krumkamp R, Kumaran EAP, Kyu HH, Manilal A, Marks F, May J, McLaughlin SA, McManigal B, Melese A, Misgina KH, Mohamed NS, Mohammed M, Mohammed S, Mohammed S, Mokdad AH, Moore CE, Mougin V, Mturi N, Mulugeta T, Musaigwa F, Musicha P, Musila LA, Muthupandian S, Naghavi P, Negash H, Nuckchady DC, Obiero CW, Odetokun IA, Ogundijo OA, Okidi L, Okonji OC, Olagunju AT, et alSartorius B, Gray AP, Davis Weaver N, Robles Aguilar G, Swetschinski LR, Ikuta KS, Mestrovic T, Chung E, Wool EE, Han C, Gershberg Hayoon A, Araki DT, Abd-Elsalam S, Aboagye RG, Adamu LH, Adepoju AV, Ahmed A, Akalu GT, Akande-Sholabi W, Amuasi JH, Amusa GA, Argaw AM, Aruleba RT, Awoke T, Ayalew MK, Azzam AY, Babin FX, Banerjee I, Basiru A, Bayileyegn NS, Belete MA, Berkley JA, Bielicki JA, Dekker D, Demeke D, Demsie DG, Dessie AM, Dunachie SJ, Ed-Dra A, Ekholuenetale M, Ekundayo TC, El Sayed I, Elhadi M, Elsohaby I, Eyre D, Fagbamigbe AF, Feasey NA, Fekadu G, Fell F, Forrest KM, Gebrehiwot M, Gezae KE, Ghazy RM, Hailegiyorgis TT, Haines-Woodhouse G, Hasaballah AI, Haselbeck AH, Hsia Y, Iradukunda A, Iregbu KC, Iwu CCD, Iwu-Jaja CJ, Iyasu AN, Jaiteh F, Jeon H, Joshua CE, Kassa GG, Katoto PDMC, Krumkamp R, Kumaran EAP, Kyu HH, Manilal A, Marks F, May J, McLaughlin SA, McManigal B, Melese A, Misgina KH, Mohamed NS, Mohammed M, Mohammed S, Mohammed S, Mokdad AH, Moore CE, Mougin V, Mturi N, Mulugeta T, Musaigwa F, Musicha P, Musila LA, Muthupandian S, Naghavi P, Negash H, Nuckchady DC, Obiero CW, Odetokun IA, Ogundijo OA, Okidi L, Okonji OC, Olagunju AT, Olufadewa II, Pak GD, Perovic O, Pollard A, Raad M, Rafaï C, Ramadan H, Redwan EMM, Roca A, Rosenthal VD, Saleh MA, Samy AM, Sharland M, Shittu A, Siddig EE, Sisay EA, Stergachis A, Tesfamariam WB, Tigoi C, Tincho MB, Tiruye TY, Umeokonkwo CD, Walsh T, Walson JL, Yusuf H, Zeru NG, Hay SI, Dolecek C, Murray CJL, Naghavi M. The burden of bacterial antimicrobial resistance in the WHO African region in 2019: a cross-country systematic analysis. Lancet Glob Health 2024; 12:e201-e216. [PMID: 38134946 PMCID: PMC10805005 DOI: 10.1016/s2214-109x(23)00539-9] [Show More Authors] [Citation(s) in RCA: 81] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 09/18/2023] [Accepted: 11/07/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND A critical and persistent challenge to global health and modern health care is the threat of antimicrobial resistance (AMR). Previous studies have reported a disproportionate burden of AMR in low-income and middle-income countries, but there remains an urgent need for more in-depth analyses across Africa. This study presents one of the most comprehensive sets of regional and country-level estimates of bacterial AMR burden in the WHO African region to date. METHODS We estimated deaths and disability-adjusted life-years (DALYs) attributable to and associated with AMR for 23 bacterial pathogens and 88 pathogen-drug combinations for countries in the WHO African region in 2019. Our methodological approach consisted of five broad components: the number of deaths in which infection had a role, the proportion of infectious deaths attributable to a given infectious syndrome, the proportion of infectious syndrome deaths attributable to a given pathogen, the percentage of a given pathogen resistant to an antimicrobial drug of interest, and the excess risk of mortality (or duration of an infection) associated with this resistance. These components were then used to estimate the disease burden by using two counterfactual scenarios: deaths attributable to AMR (considering an alternative scenario where infections with resistant pathogens are replaced with susceptible ones) and deaths associated with AMR (considering an alternative scenario where drug-resistant infections would not occur at all). We obtained data from research hospitals, surveillance networks, and infection databases maintained by private laboratories and medical technology companies. We generated 95% uncertainty intervals (UIs) for final estimates as the 25th and 975th ordered values across 1000 posterior draws, and models were cross-validated for out-of-sample predictive validity. FINDINGS In the WHO African region in 2019, there were an estimated 1·05 million deaths (95% UI 829 000-1 316 000) associated with bacterial AMR and 250 000 deaths (192 000-325 000) attributable to bacterial AMR. The largest fatal AMR burden was attributed to lower respiratory and thorax infections (119 000 deaths [92 000-151 000], or 48% of all estimated bacterial pathogen AMR deaths), bloodstream infections (56 000 deaths [37 000-82 000], or 22%), intra-abdominal infections (26 000 deaths [17 000-39 000], or 10%), and tuberculosis (18 000 deaths [3850-39 000], or 7%). Seven leading pathogens were collectively responsible for 821 000 deaths (636 000-1 051 000) associated with resistance in this region, with four pathogens exceeding 100 000 deaths each: Streptococcus pneumoniae, Klebsiella pneumoniae, Escherichia coli, and Staphylococcus aureus. Third-generation cephalosporin-resistant K pneumoniae and meticillin-resistant S aureus were shown to be the leading pathogen-drug combinations in 25 and 16 countries, respectively (53% and 34% of the whole region, comprising 47 countries) for deaths attributable to AMR. INTERPRETATION This study reveals a high level of AMR burden for several bacterial pathogens and pathogen-drug combinations in the WHO African region. The high mortality rates associated with these pathogens demonstrate an urgent need to address the burden of AMR in Africa. These estimates also show that quality and access to health care and safe water and sanitation are correlated with AMR mortality, with a higher fatal burden found in lower resource settings. Our cross-country analyses within this region can help local governments to leverage domestic and global funding to create stewardship policies that target the leading pathogen-drug combinations. FUNDING Bill & Melinda Gates Foundation, Wellcome Trust, and Department of Health and Social Care using UK aid funding managed by the Fleming Fund.
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Al-Attar A, Gossage L, Fareed KR, Shehata M, Mohammed M, Zaitoun AM, Soomro I, Lobo DN, Abbotts R, Chan S, Madhusudan S. Human apurinic/apyrimidinic endonuclease (APE1) is a prognostic factor in ovarian, gastro-oesophageal and pancreatico-biliary cancers. Br J Cancer 2010; 102:704-9. [PMID: 20087352 PMCID: PMC2837561 DOI: 10.1038/sj.bjc.6605541] [Citation(s) in RCA: 74] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2009] [Revised: 12/09/2009] [Accepted: 12/16/2009] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Altered DNA repair may be associated with aggressive tumour biology and impact upon response to chemotherapy and radiotherapy. We investigated whether expression of human AP endonuclease (APE1), a key multifunctional protein involved in DNA BER, would impact on clinicopathological outcomes in ovarian, gastro-oesophageal, and pancreatico-biliary cancer. METHODS Formalin-fixed human ovarian, gastro-oesophageal, and pancreatico-biliary cancers were constructed into TMAs. Expression of APE1 was analysed by IHC and correlated to clinicopathological variables. RESULTS In ovarian cancer, nuclear APE1 expression was seen in 71.9% (97 out of 135) of tumours and correlated with tumour type (P=0.006), optimal debulking (P=0.009), and overall survival (P=0.05). In gastro-oesophageal cancers previously exposed to neoadjuvant chemotherapy, 34.8% (16 out of 46) of tumours were positive in the nucleus and this correlated with shorter overall survival (P=0.005), whereas cytoplasmic localisation correlated with tumour dedifferentiation (P=0.034). In pancreatico-biliary cancer, nuclear staining was seen in 44% (32 out of 72) of tumours. Absence of cytoplasmic staining was associated with perineural invasion (P=0.007), vascular invasion (P=0.05), and poorly differentiated tumours (P=0.068). A trend was noticed with advanced stage (P=0.077). CONCLUSIONS Positive clinicopathological correlations of APE1 expression suggest that APE1 is a potential drug target in ovarian, gastro-oesophageal, and pancreatico-biliary cancers.
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Mohammed M, Sha’aban A, Jatau AI, Yunusa I, Isa AM, Wada AS, Obamiro K, Zainal H, Ibrahim B. Assessment of COVID-19 Information Overload Among the General Public. J Racial Ethn Health Disparities 2022; 9:184-192. [PMID: 33469869 PMCID: PMC7815186 DOI: 10.1007/s40615-020-00942-0] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 12/03/2020] [Accepted: 12/09/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND A relentless flood of information accompanied the novel coronavirus 2019 (COVID-19) pandemic. False news, conspiracy theories, and magical cures were shared with the general public at an alarming rate, which may lead to increased anxiety and stress levels and associated debilitating consequences. OBJECTIVES To measure the level of COVID-19 information overload (COVIO) and assess the association between COVIO and sociodemographic characteristics among the general public. METHODS A cross-sectional online survey was conducted between April and May 2020 using a modified Cancer Information Overload scale. The survey was developed and posted on four social media platforms. The data were only collected from those who consented to participate. COVIO score was classified into high vs. low using the asymmetrical distribution as a guide and conducted a binary logistic regression to examine the factors associated with COVIO. RESULTS A total number of 584 respondents participated in this study. The mean COVIO score of the respondents was 19.4 (± 4.0). Sources and frequency of receiving COVID-19 information were found to be significant predictors of COVIO. Participants who received information via the broadcast media were more likely to have high COVIO than those who received information via the social media (adjusted odds ratio ([aOR],14.599; 95% confidence interval [CI], 1.608-132.559; p = 0.017). Also, participants who received COVID-19 information every minute (aOR, 3.892; 95% CI, 1.124-13.480; p = 0.032) were more likely to have high COVIO than those who received information every week. CONCLUSION The source of information and the frequency of receiving COVID-19 information were significantly associated with COVIO. The COVID-19 information is often conflicting, leading to confusion and overload of information in the general population. This can have unfavorable effects on the measures taken to control the transmission and management of COVID-19 infection.
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Bose S, Mohammed M, Shintaku P, Rao PN. Her-2/neu gene amplification in low to moderately expressing breast cancers: possible role of chromosome 17/Her-2/neu polysomy. Breast J 2001; 7:337-44. [PMID: 11906444 DOI: 10.1046/j.1524-4741.2001.21018.x] [Citation(s) in RCA: 51] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Overexpression of the Her-2/neu (HER2) oncogene is known to confer important prognostic and predictive value to patients with breast cancer. Controversy exists as to the best method for its determination caused primarily by the variable sensitivities of the different antibodies and interobserver differences, particularly in the group of breast cancers with borderline levels of expression of the protein product. This study was therefore designed to determine the status of the HER2 gene amplification in a group of breast carcinomas with low levels of overexpression. After an initial validation of our procedures, a series of 52 consecutive cases of formalin-fixed, paraffin-embedded breast cancers with low levels of overexpression and a series of 22 cases with no expression by immunohistochemistry were analyzed by fluorescence in situ hybridization (FISH), and the results correlated statistically. Amplification of the HER2 gene was observed in 16% of equivocal to weakly positive cases. Those that were amplified showed low levels of amplification with ratios less than 4.5 and a characteristic scattered pattern of distribution of HER2 signals in the FISH assay. In addition, heterogeneity was noted in two cases in the amplification of the HER2 gene within the same tumor samples with pockets of amplified tumor cells amidst nonamplified tumor cells. In cases without amplification, a statistically significant number showed chromosome 17 polysomy. In conclusion, equivocal to low levels of HER2 overexpression in breast cancers are associated, in the majority of cases, with chromosome 17 polysomy and a corresponding increase in the HER2 gene numbers. True gene amplification is present in only a minority of cases. FISH analysis should be used for confirmation of gene amplification. Prior screening and selection of appropriate immunohistochemistry-positive areas for FISH analysis may prove beneficial.
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Moskal P, Kisielewska D, Curceanu C, Czerwiński E, Dulski K, Gajos A, Gorgol M, Hiesmayr B, Jasińska B, Kacprzak K, Kapłon Ł, Korcyl G, Kowalski P, Krzemień W, Kozik T, Kubicz E, Mohammed M, Niedźwiecki S, Pałka M, Pawlik-Niedźwiecka M, Raczyński L, Raj J, Sharma S, Shivani, Shopa RY, Silarski M, Skurzok M, Stępień E, Wiślicki W, Zgardzińska B. Feasibility study of the positronium imaging with the J-PET tomograph. Phys Med Biol 2019; 64:055017. [PMID: 30641509 DOI: 10.1088/1361-6560/aafe20] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
A detection system of the conventional PET tomograph is set-up to record data from [Formula: see text] annihilation into two photons with energy of 511 keV, and it gives information on the density distribution of a radiopharmaceutical in the body of the object. In this paper we explore the possibility of performing the three gamma photons imaging based on ortho-positronium annihilation, as well as the possibility of positronium mean lifetime imaging with the J-PET tomograph constructed from plastic scintillators. For this purposes simulations of the ortho-positronium formation and its annihilation into three photons were performed taking into account distributions of photons' momenta as predicted by the theory of quantum electrodynamics and the response of the J-PET tomograph. In order to test the proposed ortho-positronium lifetime image reconstruction method, we concentrate on the decay of the ortho-positronium into three photons and applications of radiopharmaceuticals labeled with isotopes emitting a prompt gamma. The proposed method of imaging is based on the determination of hit-times and hit-positions of registered photons which enables the reconstruction of the time and position of the annihilation point as well as the lifetime of the ortho-positronium on an event-by-event basis. We have simulated the production of the positronium in point-like sources and in a cylindrical phantom composed of a set of different materials in which the ortho-positronium lifetime varied from 2.0 ns to 3.0 ns, as expected for ortho-positronium created in the human body. The presented reconstruction method for total-body J-PET like detector allows to achieve a mean lifetime resolution of ∼40 ps. Recent positron annihilation lifetime spectroscopy measurements of cancerous and healthy uterine tissues show that this sensitivity may allow to study the morphological changes in cell structures.
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Research Support, Non-U.S. Gov't |
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Paquette RL, Hsu N, Said J, Mohammed M, Rao NP, Shih G, Schiller G, Sawyers C, Glaspy JA. Interferon-alpha induces dendritic cell differentiation of CML mononuclear cells in vitro and in vivo. Leukemia 2002; 16:1484-9. [PMID: 12145689 DOI: 10.1038/sj.leu.2402602] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2001] [Accepted: 02/21/2002] [Indexed: 11/08/2022]
Abstract
The ability of interferon-alpha (IFN-alpha) to induce dendritic cell (DC) differentiation in chronic myeloid leukemia (CML) was evaluated. Peripheral blood mononuclear cells from CML patients cultured with IFN-alpha and granulocyte-macrophage colony-stimulating factor (GM-CSF) developed a dendritic morphology. Fluorescence in situ hybridization demonstrated that the DCs harbored the bcr/abl translocation. The DCs prepared with IFN-alpha/GM-CSF expressed significantly higher levels of class I and II HLA than those grown in interleukin-4 (IL-4) and GM-CSF. The DCs prepared from newly diagnosed CML patients using IFN-alpha/GM-CSF expressed immunoregulatory proteins at levels comparable to normal DCs. In contrast, DCs cultured from CML patients who did not achieve a cytogenetic response to IFN-alpha expressed significantly lower levels of class I HLA, CD40, CD54, CD80 and CD86 than normal DCs. The expression of CD86 by CML DCs was enhanced when they were cultured with IFN-alpha/IL-4/GM-CSF, or when IFN-alpha/GM-CSF-treated cells were induced to mature by CD40 ligand. The DCs from IFN-alpha failures were less stimulatory than normal DCs in the allogeneic mixed leukocyte reaction. CML patients who had a cytogenetic response to IFN-alpha initially had low numbers of bone marrow DCs that increased significantly with treatment, while nonresponders had more prevalent DCs at baseline that showed no consistent change with treatment. Therefore, IFN-alpha can induce DC differentiation from CML progenitor cells both in vitro and in vivo. The therapeutic activity of IFN-alpha in CML may be due to its ability to stimulate the generation of DCs that can present CML-specific antigens. Resistance to IFN-alpha may result when DC differentiation becomes impaired.
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MESH Headings
- Antigen Presentation
- Antigens, CD/analysis
- Antigens, CD/biosynthesis
- Antigens, CD/genetics
- Biomarkers, Tumor/genetics
- Blood Cells/pathology
- Bone Marrow Cells/pathology
- CD40 Ligand/pharmacology
- Cell Differentiation/drug effects
- Dendritic Cells/drug effects
- Fusion Proteins, bcr-abl/genetics
- Gene Expression Regulation, Leukemic/drug effects
- Granulocyte-Macrophage Colony-Stimulating Factor/pharmacology
- HLA Antigens/analysis
- HLA Antigens/biosynthesis
- HLA Antigens/genetics
- Humans
- Immunophenotyping
- In Situ Hybridization, Fluorescence
- Interferon alpha-2
- Interferon-alpha/pharmacology
- Leukemia, Myelogenous, Chronic, BCR-ABL Positive/pathology
- Lymphocyte Culture Test, Mixed
- Neoplastic Stem Cells/drug effects
- Neoplastic Stem Cells/pathology
- Recombinant Proteins
- Tumor Cells, Cultured/drug effects
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Comparative Study |
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Kowalski P, Wiślicki W, Shopa RY, Raczyński L, Klimaszewski K, Curcenau C, Czerwiński E, Dulski K, Gajos A, Gorgol M, Gupta-Sharma N, Hiesmayr B, Jasińska B, Kapłon Ł, Kisielewska-Kamińska D, Korcyl G, Kozik T, Krzemień W, Kubicz E, Mohammed M, Niedźwiecki S, Pałka M, Pawlik-Niedźwiecka M, Raj J, Rakoczy K, Rudy Z, Sharma S, Shivani S, Silarski M, Skurzok M, Zgardzińska B, Zieliński M, Moskal P. Estimating the NEMA characteristics of the J-PET tomograph using the GATE package. ACTA ACUST UNITED AC 2018; 63:165008. [DOI: 10.1088/1361-6560/aad29b] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
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Kumar N, Ahmed F, Raza MS, Rajpoot PL, Rehman W, Khatri SA, Mohammed M, Muhammad S, Ahmad R. Monkeypox Cross-Sectional Survey of Knowledge, Attitudes, Practices, and Willingness to Vaccinate among University Students in Pakistan. Vaccines (Basel) 2022; 11:97. [PMID: 36679942 PMCID: PMC9862138 DOI: 10.3390/vaccines11010097] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/23/2022] [Accepted: 12/29/2022] [Indexed: 01/03/2023] Open
Abstract
This study aimed to explore knowledge, attitude, perceptions, and willingness regarding vaccination among university students in Pakistan. This cross-sectional study was carried out using an open online self-administered survey via Google Forms. The survey data were collected between the 15 to 30 of October 2022. A total of 946 respondents participated in the study, of which the majority were female (514, 54.3%). Most students belonged to a medical background, specifically pharmaceutical sciences. Most of the respondents did not know about monkeypox before 2022 (646, 68.3%). Regarding overall knowledge of monkeypox, most of the respondents had average knowledge (726, 76.7%), with very few having good knowledge (60, 6.3%). Regarding overall attitudes towards monkeypox, most of the respondents had neutral attitudes (648, 68.5%). There was a significant association between knowledge of Monkeypox with the type of academic degree (p < 0.001), type of discipline (p < 0.001), and region of respondents (p < 0.001). The willingness to vaccinate among the population was (67.7%). The current study pointed out that the overall knowledge of monkeypox was average in most respondents, with considerable knowledge gaps in most aspects. The overall attitude towards monkeypox was neutral. Further, the knowledge about monkeypox was strongly associated with academic degree, study discipline, and region of respondents. Our findings emphasize the need to raise public awareness by educating students on the monkeypox virus. This will improve adherence to preventative recommendations.
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Kluyts HL, le Manach Y, Munlemvo DM, Madzimbamuto F, Basenero A, Coulibaly Y, Rakotoarison S, Gobin V, Samateh AL, Chaibou MS, Omigbodun AO, Amanor-Boadu SD, Tumukunde J, Madiba TE, Pearse RM, Biccard BM, Abbas N, Abdelatif AI, Abdoulaye T, Abd-rouf A, Abduljalil A, Abdulrahman A, Abdurazig S, Abokris A, Abozaid W, Abugassa S, Abuhdema F, Abujanah S, Abusamra R, Abushnaf A, Abusnina S, Abuzalout T, Ackermann H, Adamu Y, Addanfour A, Adeleke D, Adigun T, Adisa A, Adjignon SV, Adu-Aryee N, Afolabi B, Agaba A, Agaba P, Aghadi K, Agilla H, Ahmed B, Ahmed EZ, Ahmed AJ, Ahmed M, Ahossi R, Aji S, Akanyun S, Akhideno I, Akhter M, Akinyemi O, Akkari M, Akodjenou J, AL Samateh A, al Shams E, Alagbe-Briggs O, Alakkari E, Alalem R, Alashhab M, Alatise O, Alatresh A, Alayeb Alayeb M, Albakosh B, Albert F, Alberts A, Aldarrat A, Alfari A, Alfetore A, Algbali M, Algddar A, Algedar H, Alghafoud I, Alghazali A, Alhajj M, Alhendery Alhendery A, Alhoty F, Ali A, Ali Y, Ali A, Alioune BS, Alkassem M, Alkchr M, Alkesa T, Alkilani A, Alkobty Alkobty F, Allaye T, Alleesaib S, Alli A, Allopi K, Allorto N, Almajbery A, Almesmary R, Almisslati S, Almoraid F, Alobeidi H, et alKluyts HL, le Manach Y, Munlemvo DM, Madzimbamuto F, Basenero A, Coulibaly Y, Rakotoarison S, Gobin V, Samateh AL, Chaibou MS, Omigbodun AO, Amanor-Boadu SD, Tumukunde J, Madiba TE, Pearse RM, Biccard BM, Abbas N, Abdelatif AI, Abdoulaye T, Abd-rouf A, Abduljalil A, Abdulrahman A, Abdurazig S, Abokris A, Abozaid W, Abugassa S, Abuhdema F, Abujanah S, Abusamra R, Abushnaf A, Abusnina S, Abuzalout T, Ackermann H, Adamu Y, Addanfour A, Adeleke D, Adigun T, Adisa A, Adjignon SV, Adu-Aryee N, Afolabi B, Agaba A, Agaba P, Aghadi K, Agilla H, Ahmed B, Ahmed EZ, Ahmed AJ, Ahmed M, Ahossi R, Aji S, Akanyun S, Akhideno I, Akhter M, Akinyemi O, Akkari M, Akodjenou J, AL Samateh A, al Shams E, Alagbe-Briggs O, Alakkari E, Alalem R, Alashhab M, Alatise O, Alatresh A, Alayeb Alayeb M, Albakosh B, Albert F, Alberts A, Aldarrat A, Alfari A, Alfetore A, Algbali M, Algddar A, Algedar H, Alghafoud I, Alghazali A, Alhajj M, Alhendery Alhendery A, Alhoty F, Ali A, Ali Y, Ali A, Alioune BS, Alkassem M, Alkchr M, Alkesa T, Alkilani A, Alkobty Alkobty F, Allaye T, Alleesaib S, Alli A, Allopi K, Allorto N, Almajbery A, Almesmary R, Almisslati S, Almoraid F, Alobeidi H, Swaleh A, Swayeb E, Szpytko A, Taiwo N, Tarhuni A, Tarloff D, Tchaou B, Tchegnonsi C, Tchoupa M, Teeka M, Alomami M, Thakoor B, Theunissen M, Thomas B, Thomas M, Thotharam A, Tobiko O, Torborg A, Tshisekedi S, Tshisola S, Tshitangano R, Alphonsus CS, Tshivhula F, Tshuma H, Tumukunde J, Tun M, Udo I, Uhuebor D, Umeh K, Usenbo A, Uwiteyimbabazi J, Van der Merwe D, Alqawi O, van der Merwe F, van der Walt J, van Dyk D, Van Dyk J, van Niekerk J, van Wyk S, van Zyl H, Veerasamy B, Venter P, Vermeulen A, Alraheem A, Villarreal R, Visser J, Visser L, Voigt M, von Rahden RP, Wafa A, Wafula A, Wambugu P, Waryoba P, Waweru E, Alsabri S, Weideman M, Wise RD, Wynne E, 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Jannetjies M, Jasim I, Jaworska MA, Jay Narain S, Jermi K, Jimoh R, Jithoo S, Johnson M, Joomye S, Judicael R, Judicaël M, Juwid A, Jwambi L, Kabango R, Kabangu J, Kabatoro D, Kabongo A, Kabongo K, Kabongo L, Kabongo M, Kady N, Kafu S, Kaggya M, Kaholongo B, Kairuki P, Kakololo S, Kakudji K, Kalisa A, Kalisa R, Kalufwelu M, Kalume S, Kamanda R, Kangili M, Kanoun H, Kapesa, Kapp P, Karanja J, Karar M, Kariuki K, Kaseke K, Kashuupulwa P, Kasongo K, Kassa S, Kateregga G, Kathrada M, Katompwa P, Katsukunya L, Kavuma K, Khalfallah, Khamajeet A, Khetrish S, Kibandwa, Kibochi W, Kilembe A, Kintu A, Kipng’etich B, Kiprop B, Kissoon V, Kisten TK, Kiwanuka J, Kluyts HL, Knox M, Koledale A, Koller V, Kolotsi M, Kongolo M, Konwuoh N, Koperski W, Koraz M, Kornilov A, Koto MZ, Kransingh S, Krick D, Kruger S, Kruse C, Kuhn W, Kuhn W, Kukembila A, Kule K, Kumar M, Kusel BS, Kusweje V, Kuteesa K, Kutor Y, Labib M, Laksari M, Lanos F, Lawal T, Le Manach Y, Lee C, Lekoloane R, Lelo S, Lerutla B, Lerutla M, Levin A, Likongo T, Limbajee M, Linyama D, Lionnet C, Liwani M, Loots E, Lopez AG, Lubamba C, Lumbala K, Lumbamba A, Lumona J, Lushima R, Luthuli L, Luweesi H, Lyimo T, Maakamedi H, Mabaso B, Mabina M, Maboya M, Macharia I, Macheka A, Machowski A, Madiba TE, Madsen A, Madzimbamuto F, Madzivhe L, Mafafo S, Maghrabi M, Mahamane DD, Maharaj A, Maharaj A, Maharaj A, Mahmud M, Mahoko M, Mahomedy N, Mahomva O, Mahureva T, Maila R, Maimane D, Maimbo M, Maina S, Maiwald DA, Maiyalagan M, Majola N, Makgofa N, Makhanya V, Makhaye W, Makhlouf N, Makhoba S, Makopa E, Makori O, Makupe AM, Makwela M, Malefo M, Malongwe S, Maluleke D, Maluleke M, Mamadou KT, Mamaleka M, Mampangula Y, Mamy R, Mananjara M, Mandarry M, Mangoo D, Manirimbere C, Manneh A, Mansour A, Mansour I, Manvinder M, Manyere D, Manzini V, Manzombi J, Mapanda P, Marais L, Maranga O, Maritz J, Mariwa F, Masela R, Mashamba M, Mashava DM, Mashile M, Mashoko E, Masia O, Masipa J, Masiyambiri A, Matenchi M, Mathangani W, Mathe R, Matola CY, Matondo P, Matos-Puig R, Matoug F, Matubatuba J, Mavesere H, Mavhungu R, Maweni S, Mawire C, Mawisa T, Mayeza S, Mbadi R, Mbayabu M, Mbewe N, Mbombo W, Mbuyi T, Mbuyi W, Mbuyisa M, Mbwele B, Mehyaoui R, Menkiti I, Mesarieki L, Metali A, Mewanou S, Mgonja L, Mgoqo N, Mhatu S, Mhlari T, Miima S, Milod I, Minani P, Mitema F, Mlotshwa A, Mmasi J, Mniki T, Mofikoya B, Mogale J, Mohamed A, Mohamed A, Mohamed A, Mohamed S, Mohamed S, Mohamed T, Mohamed A, Mohamed A, Mohamed A, Mohamed P, Mohammed I, Mohammed F, Mohammed M, Mohammed N, Mohlala M, Mokretar R, Molokoane F, Mongwe K, Montenegro L, Montwedi O, Moodie Q, Moopanar M, Morapedi M, Morulana T, Moses V, Mossy P, Mostafa H, Motilall S, Motloutsi S, Moussa K, Moutari M, Moyo O, Mphephu P, Mrara B, Msadabwe C, Mtongwe V, Mubeya F, Muchiri K, Mugambi J, Muguti G, Muhammad A, Mukama I, Mukenga M, Mukinda F, Mukuna P, Mungherera A, Munlemvo DM, Munyaradzi T, Munyika A, Muriithi J, Muroonga M, Murray R, Mushangwe V, Mushaninga M, Musiba V, Musowoya J, Mutahi S, Mutasiigwa M, Mutizira G, Muturi A, Muzenda T, Mvwala K, Mvwama N, Mwale A, Mwaluka C, Mwamba J, Mwanga H, Mwangi C, Mwansa S, Mwenda V, Mwepu I, Mwiti T, Mzezewa S, Nabela L, Nabukenya M, Nabulindo S, Naicker K, Naidoo D, Naidoo L, Naidoo L, Naidoo N, Naidoo R, Naidoo R, Naidoo S, Naidoo T, Naidu T, Najat N, Najm Y, Nakandungile F, Nakangombe P, Namata C, Namegabe E, Nansook A, Nansubuga N, Nantulu C, Nascimento R, Naude G, Nchimunya H, Ndaie M, Ndarukwa P, Ndasi H, Ndayisaba G, Ndegwa D, Ndikumana R, Ndonga AK, Ndung’u C, Neil M, Nel M, Neluheni E, Nesengani D, Nesengani N, Netshimboni L, Ngalala A, Ngari B, Ngari N, Ngatia E, Ngcobo G, Ngcobo T, Ngorora D, Ngouane D, Ngugi K, Ngumi ZW, Nibe Z, Ninise E, Niyondiko J, Njenga P, Njenga M, Njoroge M, Njoroge S, Njuguna W, Njuki P, Nkesha T, Nkuebe T, Nkuliyingoma N, Nkunjana M, Nkwabi E, Nkwine R, Nnaji C, Notoane I, Nsalamba S, Ntlhe L, Ntoto C, Ntueba B, Nyassi M, Nyatela-Akinrinmade Z, Nyawanda H, Nyokabi N, Nziene V, Obadiah S, Ochieng O, Odia P, Oduor O, Ogboli-Nwasor E, Ogendo S, Ogunbode O, Ogundiran T, Ogutu O, Ojewola R, Ojujo M, Ojuka D, Okelo O, Okiya S, Okonu N, Olang P, Omigbodun AO, Omoding S, Omoshoro-Jones J, Onyango R, Onyegbule A, Orjiako O, Osazuwa M, Oscar K, Osinaike B, Osinowo A, Othin O, Otman F, Otokwala J, Ouanes F, Oumar O, Ousseini A, Padayachee S, Pahlana S, Pansegrouw J, Paruk F, Patel M, Patel U, Patience A, Pearse RM, Pembe J, Pengemale G, Perez N, Aguilera Perez M, Peter AM, Phaff M, Pheeha R, Pienaar B, Pillay V, Pilusa K, Pochana M, Polishchuk O, Porrill OS, Post E, Prosper A, Pupyshev M, Rabemazava A, Rabiou M, Rademan L, Rademeyer M, Raherison R, Rajah F, Rajcoomar M, Rakhda Z, Rakotoarijaona A, Rakotoarisoa A, Rakotoarison SR, Rakotoarison R, Ramadan L, Ramananasoa M, Rambau M, Ramchurn T, Ramilson H, Ramjee RJ, Ramnarain H, Ramos R, Rampai T, Ramphal S, Ramsamy T, Ramuntshi R, Randolph R, Randriambololona D, Ras W, Rasolondraibe R, Rasolonjatovo J, Rautenbach R, Ray S, Rayne SR, Razanakoto F, Reddy S, Reed AR, Rian J, Rija F, Rink B, Robelie A, Roberts C, Rocher A, Rocher S, Rodseth RN, Rois I, Rois W, Rokhsi S, Roos J, Rorke NF, Roura H, Rousseau F, Rousseau N, Royas L, Roytowski D, Rungan D, Rwehumbiza S, Ryabchiy B, Ryndine V, Saaiman C, Sabwa H, Sadat S, Saed S, Salaheddin E, Salaou H, Saleh M, Salisu-Kabara H, Doles Sama H, Samateh AL, Sam-Awortwi W, Samuel N, Sanduku D, Sani CM, Sanyang L, Sarah H, Sarkin-Pawa A, Sathiram R, Saurombe T, Schutte H, Sebei M, Sedekounou M, Segooa M, Semenya E, Semo B, Sendagire C, Senoga S, Senusi F, Serdyn T, Seshibe M, Shah G, Shamamba R, Shambare C, Shangase T, Shanin S, Shefren I, Sheshe A, Shittu O, Shkirban A, Sholadoye T, Shubba A, Sigcu N, Sihope S, Sikazwe D, Sikombe B, Simaga Abdoul K, Simo W, Singata K, Singh A, Singh S, Singh U, Sinoamadi V, Sipuka N, Sithole N, Sitima S, Skinner DL, Skinner G, Smith O, Smits C, Sofia M, Sogoba G, Sohoub A, Sookun S, Sosinska O, Souhe R, Souley G, Souleymane T, Spicer J, Spijkerman S, Steinhaus H, Steyn A, Steyn G, Steyn H, Stoltenkamp HL, Stroyer S. The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications. Br J Anaesth 2018; 121:1357-1363. [PMID: 30442264 DOI: 10.1016/j.bja.2018.08.005] [Show More Authors] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Revised: 07/19/2018] [Accepted: 08/06/2018] [Indexed: 10/28/2022] Open
Abstract
BACKGROUND The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications. METHODS ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery. RESULTS The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784. CONCLUSIONS This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance. CLINICAL TRIAL REGISTRATION NCT03044899.
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Moskal P, Gajos A, Mohammed M, Chhokar J, Chug N, Curceanu C, Czerwiński E, Dadgar M, Dulski K, Gorgol M, Goworek J, Hiesmayr BC, Jasińska B, Kacprzak K, Kapłon Ł, Karimi H, Kisielewska D, Klimaszewski K, Korcyl G, Kowalski P, Krawczyk N, Krzemień W, Kozik T, Kubicz E, Niedźwiecki S, Parzych S, Pawlik-Niedźwiecka M, Raczyński L, Raj J, Sharma S, Choudhary S, Shopa RY, Sienkiewicz A, Silarski M, Skurzok M, Stępień EŁ, Tayefi F, Wiślicki W. Testing CPT symmetry in ortho-positronium decays with positronium annihilation tomography. Nat Commun 2021; 12:5658. [PMID: 34580294 PMCID: PMC8476595 DOI: 10.1038/s41467-021-25905-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 09/06/2021] [Indexed: 11/16/2022] Open
Abstract
Charged lepton system symmetry under combined charge, parity, and time-reversal transformation (CPT) remains scarcely tested. Despite stringent quantum-electrodynamic limits, discrepancies in predictions for the electron–positron bound state (positronium atom) motivate further investigation, including fundamental symmetry tests. While CPT noninvariance effects could be manifested in non-vanishing angular correlations between final-state photons and spin of annihilating positronium, measurements were previously limited by knowledge of the latter. Here, we demonstrate tomographic reconstruction techniques applied to three-photon annihilations of ortho-positronium atoms to estimate their spin polarisation without magnetic field or polarised positronium source. We use a plastic-scintillator-based positron-emission-tomography scanner to record ortho-positronium (o-Ps) annihilations with single-event estimation of o-Ps spin and determine the complete spectrum of an angular correlation operator sensitive to CPT-violating effects. We find no violation at the precision level of 10−4, with an over threefold improvement on the previous measurement. CPT violation could manifest itself in annihilating positronium events, but searching for this effect would require to know the spin of the annihilating system. Here, the authors do this using a positron-emission tomography scanner, finding no violation with a statistical precision of 10−4.
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Jaiswal SK, Mohammed M, Ibny FYI, Dakora FD. Rhizobia as a Source of Plant Growth-Promoting Molecules: Potential Applications and Possible Operational Mechanisms. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2021. [DOI: 10.3389/fsufs.2020.619676] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
The symbiotic interaction between rhizobia and legumes that leads to nodule formation is a complex chemical conversation involving plant release of nod-gene inducing signal molecules and bacterial secretion of lipo-chito-oligossacharide nodulation factors. During this process, the rhizobia and their legume hosts can synthesize and release various phytohormones, such as IAA, lumichrome, riboflavin, lipo-chito-oligossacharide Nod factors, rhizobitoxine, gibberellins, jasmonates, brassinosteroids, ethylene, cytokinins and the enzyme 1-aminocyclopropane-1-carboxylate (ACC) deaminase that can directly or indirectly stimulate plant growth. Whereas these attributes may promote plant adaptation to various edapho-climatic stresses including the limitations in nutrient elements required for plant growth promotion, tapping their full potential requires understanding of the mechanisms involved in their action. In this regard, several N2-fixing rhizobia have been cited for plant growth promotion by solubilizing soil-bound P in the rhizosphere via the synthesis of gluconic acid under the control of pyrroloquinoline quinone (PQQ) genes, just as others are known for the synthesis and release of siderophores for enhanced Fe nutrition in plants, the chelation of heavy metals in the reclamation of contaminated soils, and as biocontrol agents against diseases. Some of these metabolites can enhance plant growth via the suppression of the deleterious effects of other antagonistic molecules, as exemplified by the reduction in the deleterious effect of ethylene by ACC deaminase synthesized by rhizobia. Although symbiotic rhizobia are capable of triggering biological outcomes with direct and indirect effects on plant mineral nutrition, insect pest and disease resistance, a greater understanding of the mechanisms involved remains a challenge in tapping the maximum benefits of the molecules involved. Rather than the effects of individual rhizobial or plant metabolites however, a deeper understanding of their synergistic interactions may be useful in alleviating the effects of multiple plant stress factors for increased growth and productivity.
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Korcyl G, Bialas P, Curceanu C, Czerwinski E, Dulski K, Flak B, Gajos A, Glowacz B, Gorgol M, Hiesmayr BC, Jasinska B, Kacprzak K, Kajetanowicz M, Kisielewska D, Kowalski P, Kozik T, Krawczyk N, Krzemien W, Kubicz E, Mohammed M, Niedzwiecki S, Pawlik-Niedzwiecka M, Palka M, Raczynski L, Rajda P, Rudy Z, Salabura P, Sharma NG, Sharma S, Shopa RY, Skurzok M, Silarski M, Strzempek P, Wieczorek A, Wislicki W, Zaleski R, Zgardzinska B, Zielinski M, Moskal P. Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices. IEEE TRANSACTIONS ON MEDICAL IMAGING 2018; 37:2526-2535. [PMID: 29994248 DOI: 10.1109/tmi.2018.2837741] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
A novel approach to tomographic data processing has been developed and evaluated using the Jagiellonian positron emission tomography scanner as an example. We propose a system in which there is no need for powerful, local to the scanner processing facility, capable to reconstruct images on the fly. Instead, we introduce a field programmable gate array system-on-chip platform connected directly to data streams coming from the scanner, which can perform event building, filtering, coincidence search, and region-of-response reconstruction by the programmable logic and visualization by the integrated processors. The platform significantly reduces data volume converting raw data to a list-mode representation, while generating visualization on the fly.
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Mustapha S, Mohammed M, Azemi AK, Jatau AI, Shehu A, Mustapha L, Aliyu IM, Danraka RN, Amin A, Bala AA, Ahmad WANW, Rasool AHG, Mustafa MR, Mokhtar SS. Current Status of Endoplasmic Reticulum Stress in Type II Diabetes. Molecules 2021; 26:4362. [PMID: 34299638 PMCID: PMC8307902 DOI: 10.3390/molecules26144362] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/10/2021] [Accepted: 07/17/2021] [Indexed: 12/12/2022] Open
Abstract
The endoplasmic reticulum (ER) plays a multifunctional role in lipid biosynthesis, calcium storage, protein folding, and processing. Thus, maintaining ER homeostasis is essential for cellular functions. Several pathophysiological conditions and pharmacological agents are known to disrupt ER homeostasis, thereby, causing ER stress. The cells react to ER stress by initiating an adaptive signaling process called the unfolded protein response (UPR). However, the ER initiates death signaling pathways when ER stress persists. ER stress is linked to several diseases, such as cancer, obesity, and diabetes. Thus, its regulation can provide possible therapeutic targets for these. Current evidence suggests that chronic hyperglycemia and hyperlipidemia linked to type II diabetes disrupt ER homeostasis, thereby, resulting in irreversible UPR activation and cell death. Despite progress in understanding the pathophysiology of the UPR and ER stress, to date, the mechanisms of ER stress in relation to type II diabetes remain unclear. This review provides up-to-date information regarding the UPR, ER stress mechanisms, insulin dysfunction, oxidative stress, and the therapeutic potential of targeting specific ER stress pathways.
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Raczyński L, Wiślicki W, Krzemień W, Kowalski P, Alfs D, Bednarski T, Białas P, Curceanu C, Czerwiński E, Dulski K, Gajos A, Głowacz B, Gorgol M, Hiesmayr B, Jasińska B, Kamińska D, Korcyl G, Kozik T, Krawczyk N, Kubicz E, Mohammed M, Pawlik-Niedźwiecka M, Niedźwiecki S, Pałka M, Rudy Z, Rundel O, Sharma NG, Silarski M, Smyrski J, Strzelecki A, Wieczorek A, Zgardzińska B, Zieliński M, Moskal P. Calculation of the time resolution of the J-PET tomograph using kernel density estimation. Phys Med Biol 2017; 62:5076-5097. [DOI: 10.1088/1361-6560/aa7005] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Kamińska D, Gajos A, Czerwiński E, Alfs D, Bednarski T, Białas P, Curceanu C, Dulski K, Głowacz B, Gupta-Sharma N, Gorgol M, Hiesmayr BC, Jasińska B, Korcyl G, Kowalski P, Krzemień W, Krawczyk N, Kubicz E, Mohammed M, Niedźwiecki S, Pawlik-Niedźwiecka M, Raczyński L, Rudy Z, Silarski M, Wieczorek A, Wiślicki W, Zgardzińska B, Zieliński M, Moskal P. A feasibility study of ortho-positronium decays measurement with the J-PET scanner based on plastic scintillators. THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS 2016; 76:445. [PMID: 27547122 PMCID: PMC4978780 DOI: 10.1140/epjc/s10052-016-4294-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Accepted: 08/01/2016] [Indexed: 05/13/2023]
Abstract
We present a study of the application of the Jagiellonian positron emission tomograph (J-PET) for the registration of gamma quanta from decays of ortho-positronium (o-Ps). The J-PET is the first positron emission tomography scanner based on organic scintillators in contrast to all current PET scanners based on inorganic crystals. Monte Carlo simulations show that the J-PET as an axially symmetric and high acceptance scanner can be used as a multi-purpose detector well suited to pursue research including e.g. tests of discrete symmetries in decays of ortho-positronium in addition to the medical imaging. The gamma quanta originating from o-Ps decay interact in the plastic scintillators predominantly via the Compton effect, making the direct measurement of their energy impossible. Nevertheless, it is shown in this paper that the J-PET scanner will enable studies of the [Formula: see text] decays with angular and energy resolution equal to [Formula: see text] and [Formula: see text], respectively. An order of magnitude shorter decay time of signals from plastic scintillators with respect to the inorganic crystals results not only in better timing properties crucial for the reduction of physical and instrumental background, but also suppresses significantly the pile-ups, thus enabling compensation of the lower efficiency of the plastic scintillators by performing measurements with higher positron source activities.
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Moskal P, Kisielewska D, Y Shopa R, Bura Z, Chhokar J, Curceanu C, Czerwiński E, Dadgar M, Dulski K, Gajewski J, Gajos A, Gorgol M, Del Grande R, C Hiesmayr B, Jasińska B, Kacprzak K, Kamińska A, Kapłon Ł, Karimi H, Korcyl G, Kowalski P, Krawczyk N, Krzemień W, Kozik T, Kubicz E, Małczak P, Mohammed M, Niedźwiecki S, Pałka M, Pawlik-Niedźwiecka M, Pędziwiatr M, Raczyński L, Raj J, Ruciński A, Sharma S, Shivani S, Silarski M, Skurzok M, Stępień EŁ, Vandenberghe S, Wiślicki W, Zgardzińska B. Performance assessment of the 2 γpositronium imaging with the total-body PET scanners. EJNMMI Phys 2020; 7:44. [PMID: 32607664 PMCID: PMC7326848 DOI: 10.1186/s40658-020-00307-w] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Accepted: 05/17/2020] [Indexed: 02/01/2023] Open
Abstract
Purpose In living organisms, the positron-electron annihilation (occurring during the PET imaging) proceeds in about 30% via creation of a metastable ortho-positronium atom. In the tissue, due to the pick-off and conversion processes, over 98% of ortho-positronia annihilate into two 511 keV photons. In this article, we assess the feasibility for reconstruction of the mean ortho-positronium lifetime image based on annihilations into two photons. The main objectives of this work include the (i) estimation of the sensitivity of the total-body PET scanners for the ortho-positronium mean lifetime imaging using 2γ annihilations and (ii) estimation of the spatial and time resolution of the ortho-positronium image as a function of the coincidence resolving time (CRT) of the scanner. Methods Simulations are conducted assuming that radiopharmaceutical is labeled with 44Sc isotope emitting one positron and one prompt gamma. The image is reconstructed on the basis of triple coincidence events. The ortho-positronium lifetime spectrum is determined for each voxel of the image. Calculations were performed for cases of total-body detectors build of (i) LYSO scintillators as used in the EXPLORER PET and (ii) plastic scintillators as anticipated for the cost-effective total-body J-PET scanner. To assess the spatial and time resolution, the four cases were considered assuming that CRT is equal to 500 ps, 140 ps, 50 ps, and 10 ps. Results The estimated total-body PET sensitivity for the registration and selection of image forming triple coincidences (2γ+γprompt) is larger by a factor of 13.5 (for LYSO PET) and by factor of 5.2 (for plastic PET) with respect to the sensitivity for the standard 2γ imaging by LYSO PET scanners with AFOV = 20 cm. The spatial resolution of the ortho-positronium image is comparable with the resolution achievable when using TOF-FBP algorithms already for CRT = 50 ps. For the 20-min scan, the resolution better than 20 ps is expected for the mean ortho-positronium lifetime image determination. Conclusions Ortho-positronium mean lifetime imaging based on the annihilations into two photons and prompt gamma is shown to be feasible with the advent of the high sensitivity total-body PET systems and time resolution of the order of tens of picoseconds.
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Ng M, Gakidou E, Lo J, Abate YH, Abbafati C, Abbas N, Abbasian M, Abd ElHafeez S, Abdel-Rahman WM, Abd-Elsalam S, Abdollahi A, Abdoun M, Abdulah DM, Abdulkader RS, Abdullahi A, Abedi A, Abeywickrama HM, Abie A, Aboagye RG, Abohashem S, Abtahi D, Abualruz H, Abubakar B, Abu Farha RK, Abukhadijah HJ, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Adams LC, Adane MM, Addo IY, Adedokun KA, Adegoke NA, Adepoju AVV, Adesola RO, Adeyeoluwa TE, Adiga U, Adnani QES, Afaghi S, Afzal S, Afzal MS, Agampodi TC, Aghamiri S, Agostinis Sobrinho C, Agyemang-Duah W, Ahlstrom AJ, Ahmad D, Ahmad S, Ahmad A, Ahmad MM, Ahmad F, Ahmad N, Ahmed H, Ahmed MB, Ahmed A, Ahmed MS, Ahmed MS, Ahmed SA, Ajami M, Akhtar S, Akkaif MA, Akrami AE, Alalwan TA, Al-Aly Z, Alam K, Al-amer RM, Alansari A, Al-Ashwal FY, Albashtawy M, Aldhaleei WA, Alemayehu BA, Algammal AM, Alhabib KF, Al Hamad H, Al Hasan SM, Alhuwail D, Ali R, Ali A, Ali W, Ali MU, Alif SM, Al-Jabi SW, Aljunid SM, Alkhatib A, Al-Marwani S, Alomari MA, Alqahtani SA, Al-Raddadi RMM, Alrawashdeh A, Alrimawi I, Alrousan SM, Alshahrani NZ, Al Ta'ani O, Al Ta'ani Z, Altaany Z, Altaf A, Al Thaher Y, Alvis-Guzman N, Al-Wardat M, Al-Worafi YM, et alNg M, Gakidou E, Lo J, Abate YH, Abbafati C, Abbas N, Abbasian M, Abd ElHafeez S, Abdel-Rahman WM, Abd-Elsalam S, Abdollahi A, Abdoun M, Abdulah DM, Abdulkader RS, Abdullahi A, Abedi A, Abeywickrama HM, Abie A, Aboagye RG, Abohashem S, Abtahi D, Abualruz H, Abubakar B, Abu Farha RK, Abukhadijah HJ, Abu-Rmeileh NME, Aburuz S, Abu-Zaid A, Adams LC, Adane MM, Addo IY, Adedokun KA, Adegoke NA, Adepoju AVV, Adesola RO, Adeyeoluwa TE, Adiga U, Adnani QES, Afaghi S, Afzal S, Afzal MS, Agampodi TC, Aghamiri S, Agostinis Sobrinho C, Agyemang-Duah W, Ahlstrom AJ, Ahmad D, Ahmad S, Ahmad A, Ahmad MM, Ahmad F, Ahmad N, Ahmed H, Ahmed MB, Ahmed A, Ahmed MS, Ahmed MS, Ahmed SA, Ajami M, Akhtar S, Akkaif MA, Akrami AE, Alalwan TA, Al-Aly Z, Alam K, Al-amer RM, Alansari A, Al-Ashwal FY, Albashtawy M, Aldhaleei WA, Alemayehu BA, Algammal AM, Alhabib KF, Al Hamad H, Al Hasan SM, Alhuwail D, Ali R, Ali A, Ali W, Ali MU, Alif SM, Al-Jabi SW, Aljunid SM, Alkhatib A, Al-Marwani S, Alomari MA, Alqahtani SA, Al-Raddadi RMM, Alrawashdeh A, Alrimawi I, Alrousan SM, Alshahrani NZ, Al Ta'ani O, Al Ta'ani Z, Altaany Z, Altaf A, Al Thaher Y, Alvis-Guzman N, Al-Wardat M, Al-Worafi YM, Aly S, Aly H, Alzahrani H, Alzoubi A, Alzoubi KH, Al-Zubayer MA, Amiri S, Amu H, Amugsi DA, Amusa GA, Ananda RA, Ancuceanu R, Andrei CL, Anjana RM, Ansari S, Ansari MT, Antony CM, Anuoluwa IA, Anuoluwa BS, Anvari S, Anwar S, Anyasodor AE, Apostol GLC, Arab JP, Arabloo J, Arafat M, Aravkin AY, Areda D, Arifin H, Arkew M, Armocida B, Ärnlöv J, Arooj M, Artamonov AA, Artanti KD, Arumugam A, Asghari-Jafarabadi M, Ashraf T, Asiamah-Asare BKY, Asrat AA, Astell-Burt T, Athari SS, Atorkey P, Atreya A, Aumoldaeva ZM, Awad H, Awoke MA, Awotidebe AW, Aychiluhm SB, Azargoonjahromi A, Azimi A, Aziz SA, Aziz S, Azzam AY, Azzolino D, Azzopardi PS, Babashahi M, Babu GR, Badiye AD, Bagheri N, Bahurupi Y, Bai R, Baig AA, Bakkannavar SM, Balakrishnan S, Baltatu OC, Bam K, Banach M, Banik R, Bardhan M, Barqawi HJ, Barquera S, Barua L, Basharat Z, Bashir S, Bastan MM, Basu S, Bayat R, Bayih MT, Beeraka NM, Begum T, Bello UM, Bello AB, Belo L, Bensenor IM, Bergami M, Berhe K, Berihun AA, Bhadoria AS, Bhagavathula AS, Bhala N, Bhalla JS, Bharadwaj R, Bhardwaj P, Bhardwaj N, Bhaskar S, Bhat AN, Bhattacharjee P, Bhattacharjee S, Bhatti JS, Bhatti GK, Bikov A, Bilgin C, Bisignano C, Biswas B, Bizzozero Peroni B, Bjertness E, Bjørge T, Bolla SR, Borhany H, Bosoka SA, Bouaoud S, Boyko EJ, Braithwaite D, Brazo-Sayavera J, Brenner H, Britton G, Bryazka D, Bugiardini R, Bui LP, Busch F, Bustanji Y, Butt NS, Butt ZA, Calina D, Campos LA, Campos-Nonato I, Cao S, Cao Y, Capodici A, Carvalho AF, Carvalho M, Catapano AL, Cattafesta M, Cattaruzza MS, Cegolon L, Cembranel F, Cenko E, Cerin E, Cernigliaro A, Chadwick J, Chakraborty C, Chan RNC, Chang JC, Chattu VK, Chaudhary AA, Chaurasia A, Chen G, Chen AT, Chen H, Cheng ETW, Chew NWS, Chi G, Chimoriya R, Ching PR, Choi DW, Chong B, Chopra H, Chopra S, Chou HI, Choudhari SG, Chu DT, Chung S, Chung SC, Chutiyami M, Cini KI, Cioffi I, Cogen RM, Collado-Mateo D, Columbus A, Conrad N, Criqui MH, Cruz-Martins N, Cummins S, D'Amico E, D'Anna L, D'Oria M, Dadras O, Dai X, Dalakoti M, Dandona R, Dandona L, Danpanichkul P, Darcho SD, Darvishi Cheshmeh Soltani R, da Silva AG, Davletov K, Delgado-Enciso I, Denova-Gutiérrez E, Derbew Molla M, Dergaa I, Desale AT, Devanbu VGC, Devegowda D, Dewan SMR, Dhali A, Dharmaratne SD, Dhimal M, Dhungel B, Diaz D, Dinu M, Dodangeh M, Dohare S, Dokova KG, Dolatkhah N, do Prado CB, Dorostkar F, Doshi OP, Doshi RP, Dowou RK, Dsouza VS, Du M, Dumith SC, Dumuid D, Duncan BB, Dutta S, Dziedzic AM, Ebrahimi A, Eftekhari B, Eighaei Sedeh A, Ekholuenetale M, Eladl MA, El Arab RA, El-Ashker S, Elbarazi I, El Bayoumy IF, Elgendy IY, Elhadi M, El-Huneidi W, El-Metwally AA, Elmonem MA, Elnaem MH, Elsheikh R, Elsohaby I, Eltaha C, Emeto TI, Eslami M, Eze UA, Fadavian H, Fagbamigbe AF, Fakhradiyev IR, Faraji SN, Farinha CSES, Faris MEM, Farooque U, Farrokhpour H, Fasusi SA, Fazeli P, Fazylov T, Feizkhah A, Fekadu G, Feng X, Fernandes JC, Fernandez-Jimenez R, Ferreira N, Feyisa BR, Fischer F, Flood D, Foigt NA, Folayan MO, Fomenkov AA, Foroumadi R, Fortuna Rodrigues C, Foschi M, Fotouhi M, Francis KL, Franklin RC, Gába A, Gadanya MA, Gaidhane AM, Galali Y, Gallus S, Ganesan B, Gangachannaiah S, Gastélum Espinoza WP, Gebregergis MW, Gebremeskel TG, Getacher L, Ghadirian F, Ghaffari Jolfayi A, Ghamari SH, Ghazy RM, Gil AU, Gill TK, Gnedovskaya EV, Golechha M, Golinelli D, Grivna M, Grover A, Guan Z, Guan SY, Guarducci G, Gubari MIM, Guha A, Gunawardane DA, Guo Z, Gupta R, Gupta AK, Gupta R, Gupta S, Gupta VK, Gutiérrez-Murillo RS, Guzman-Esquivel J, Hadi NR, Hadian Z, Hamdy NM, Hameed S, Hamidi S, Hamiduzzaman M, Hanif A, Hanifi N, Hankey GJ, Haq A, Harlianto NI, Haro JM, Hartono RK, Hasan F, Hashempur MH, Hasnain MS, Hassan A, Hassan N, Hassanipour S, Hassanzade Rad A, Havmoeller RJ, Hay SI, He WQ, Hebert JJ, Heidari G, Hemmati M, Hiraike Y, Hoan NQ, Hoang M, Holla R, Hoogar P, Hopkins AM, Hossain A, Hosseinzadeh H, Hostiuc S, Hostiuc M, Htay ZW, Hu C, Huang J, Hundie TG, Husseiny MI, Huynh HH, Iavicoli I, Ibrayeva A, Ilesanmi OS, Ilic IM, Ilic MD, Imam MT, Inbaraj LR, Inok A, Irham LM, Islam MR, Islam SMS, Islam RM, Ismail NE, Iso H, Isola G, Ituka MC, Iwagami M, Iwu-Jaja CJ, Iyasu AN, J V, Jacob L, Jaffar S, Jahrami H, Jain A, Jairoun AA, Jakovljevic M, Jalloh ML, Javaid SS, Jayapal SK, Jayarajah U, Jayaram S, Jebai R, Jebasingh FK, Jema AT, Jokar M, Jonas JB, Jose J, Joseph N, Joshua CE, Jozwiak JJ, Jürisson M, Kaambwa B, Kabir A, Kabir Z, Kakkar AK, Kalra S, Kamarajah SK, Kanaan SF, Kankam SB, Kanmodi KK, Kapoor N, Karajizadeh M, Karakasis P, Karasneh RA, Karimi Y, Karimi Behnagh A, Kassebaum NJ, Kauppila JH, Kayode 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Mahmood NH, Mahmoudi E, Maiti R, Makris KCC, Malhotra K, Malik AA, Malik I, Malta DC, Mamun AA, Mansourian M, Manu E, Marateb HR, Marino M, Marjani A, Martinez-Piedra R, Martini S, Martorell M, Marzouk S, Masi S, Masrouri S, Mathangasinghe Y, Mathur MR, Matozinhos FP, Matthias T, Mattiello R, Mazidi M, McPhail SM, Mechili EA, Mehboob R, Mehmood A, Mehndiratta MM, Mehrabani-Zeinabad K, Mekene Meto T, Meles HN, Mendoza W, Menezes RG, Mengistie EA, Meo SA, Mestrovic T, Mettananda S, Mettananda CDK, Micheletti Gomide Nogueira de Sá AC, Miller TR, Mini GK, Mirrakhimov EM, Misganaw A, Mittal M, Mohamed AI, Mohamed MG, Mohamed NS, Mohamed J, Mohammad T, Mohammad-Alizadeh-Charandabi S, Mohammadzadeh I, Mohammed S, Mohammed M, Mokdad AH, Mondello S, Moni MA, Moradi M, Morrison SD, Mossialos E, Motappa R, Mulita F, Mullany EC, Munkhsaikhan Y, Murillo-Zamora E, Musa S, Mustafa G, Muthu S, Myung W, Naghavi P, Naghavi M, Naik GR, Naik H, Nambi G, Nangia V, Nansseu JR, Nascimento GG, Nassar M, Natto 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Pereira G, Pereira M, Perianayagam A, Perico N, Perna S, Petcu IR, Petermann-Rocha FE, Pham HN, Polibin RV, Popovic DS, Pourghazi F, Pourshams A, Pradhan J, Pradhan PMS, Prasad M, Prashant A, Prates EJS, Putra IGNE, Puvvula J, Qattea I, Qiu JY, Radhakrishnan V, Radojčić MR, Raggi C, Rahman MA, Rahman FM, Rahman MHU, Rahman M, Rahmani S, Rahmanian V, Rahmawaty S, Rai RK, Raimondo I, Raj JP, Rajput P, Ramadan MM, Ramasamy C, Ramasamy SK, Ramazanu S, Rana K, Ranabhat CL, Rao M, Rao SJ, Rashedi S, Rashidi MM, Rasouli-Saravani A, Rathish D, Rauniyar SK, Rautalin I, Rawaf DL, Rawaf S, Redwan EMMM, Rege S, Reis-Mendes A, Remuzzi G, Rezaei N, Rezaeian M, Rezazadeh H, Rhee TG, Rocha-Gomes JR, Rodrigues M, Rodrigues da Silva TP, Rodriguez JAB, Roever L, Rohloff P, Romadlon DS, Rony MKK, Roshandel G, Rout HS, Roy N, Rwegerera GM, Saad AMA, Saber-Ayad MM, Sabet CJ, Sadarangani KP, Saddik BA, Sadeghi M, Saeb MR, Saeed U, Saeedi Moghaddam S, Safi SZ, Saghazadeh A, Sagoe D, Sahebkar A, Saheb Sharif-Askari F, Sahoo SS, Sajid MR, Salaroli LB, Saleh MA, Salem MR, Salimi S, Samodra YL, Samuel VP, Samy AM, Santhekadur PK, Santric-Milicevic MM, Saqib MAN, Saraswati U, Saravanan A, Sari DW, Sarkar T, Sarmadi M, Sarode SC, Sarode GS, Sassano M, Sathian B, Saya GK, Schinckus C, Schmidt MI, Schuermans A, Schutte AE, Sebastian SA, Selvaraj S, Semreen MH, Sendekie AK, Sengupta P, Senol YC, Senthilkumaran S, Sepanlou SG, Sethi Y, Seylani A, Shafie M, Shah S, Shah SM, Shahid S, Shahrahmani F, Shahwan MJ, Sham S, Shamim MA, Shams-Beyranvand M, Shamsi A, Shamsutdinova A, Shan D, Shanawaz M, Shannawaz M, Sharath M, Sharfaei S, Sharifan A, Sharma A, Sharma U, Sharma M, Sharma V, Sheida F, Sheikhy A, Shenoy RR, Shetty PH, Shibuya K, Shiferaw D, Shin MJ, Shiri R, Shittu A, Shool S, Shorofi SA, Shrestha R, Shuval K, Si Y, Sibuyi NRS, Siddig EE, Siddiqi AK, Sikdar M, Silva DAS, Silva LMLR, Singh S, Singh JA, Singh A, Singh H, Singh B, Singh K, Singh P, Skryabin VY, Skryabina AA, Smith AE, Smith G, Soliman SSM, Soraneh S, Sorensen RJD, Spartalis M, Srichawla BS, Stachteas P, Starodubova AV, Straif K, Stubbs P, Subramaniyan V, Suleiman Odidi MO, Sulkowski A, Sultan Meo A, Sun J, Sun Z, Sunny S, Swain CK, Szarpak L, Tabarés-Seisdedos R, Tabatabaei SM, Tabatabaei FS, Tabatabaei Malazy O, Tabatabai S, Tabche C, Tabish M, Taiba J, Talic S, Tampa M, Tamuzi JL, Tan KK, Tanwar M, Tariq S, Tat NY, Tavangar SM, Temsah RMH, Temsah MH, Teramoto M, Terefa DR, Tewari J, Thapar R, Ticoalu JHV, Tiruneh SA, Tiruye TY, Titova MV, Tiwari K, Tomo S, Tonelli M, Touvier M, Tovani-Palone MR, Trabelsi K, Tran MTN, Tran TH, Tran Minh Duc N, Trico D, Trihandini I, Truyen TTTT, Tsatsakis A, Tse G, Tsegay GM, Tumurkhuu M, T Y SS, Tye SC, Tyrovolas S, Udoakang AJ, Ullah S, Ullah S, Umair M, Umar UM, Umar L, Unim B, Upadhya D, Upadhyay E, Usman JS, Ustunsoz D, Vaithinathan AG, Van den Eynde J, Varghese J, Vasankari TJ, Vaziri S, Vellingiri B, Venketasubramanian N, Verma M, Verma A, Verras GI, Vidale S, Villalobos-Daniel VE, Vinayak M, Vlassov V, Vos T, Vukovic R, Wahidin M, Wahiduzzaman M, Wang Y, Wang S, Wang C, Wang X, Wanjau MN, Waqar AB, Waqas M, Weerakoon KG, Wei FL, Wicaksana AL, Wickramasinghe DP, Willeit P, Wojewodzic MW, Wonde TE, Wongsin U, Xia Q, Xie W, Xu S, Xu X, Yamagishi K, Yano Y, Yao H, Yarahmadi A, Yaribeygi H, Yesuf SA, Yin D, Yon DK, Yonemoto N, Yu C, Yuan CW, Yuce D, Yunusa I, Zaman SB, Zare I, Zastrozhin M, Zeariya MGM, Zhang X, Zhang L, Zhang J, Zhang Z, Zhang CJP, Zheng DX, Zheng P, Zhong A, Zhong CC, Zhou J, Zhu B, Zhumagaliuly A, Zielińska M, Zoghi G, Zou Z, Zweck E, Zyoud SH, Murray CJL, Sawyer SM, Vollset SE. Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet 2025; 405:813-838. [PMID: 40049186 PMCID: PMC11920007 DOI: 10.1016/s0140-6736(25)00355-1] [Show More Authors] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2024] [Revised: 12/06/2024] [Accepted: 02/20/2025] [Indexed: 03/10/2025]
Abstract
BACKGROUND Overweight and obesity is a global epidemic. Forecasting future trajectories of the epidemic is crucial for providing an evidence base for policy change. In this study, we examine the historical trends of the global, regional, and national prevalence of adult overweight and obesity from 1990 to 2021 and forecast the future trajectories to 2050. METHODS Leveraging established methodology from the Global Burden of Diseases, Injuries, and Risk Factors Study, we estimated the prevalence of overweight and obesity among individuals aged 25 years and older by age and sex for 204 countries and territories from 1990 to 2050. Retrospective and current prevalence trends were derived based on both self-reported and measured anthropometric data extracted from 1350 unique sources, which include survey microdata and reports, as well as published literature. Specific adjustment was applied to correct for self-report bias. Spatiotemporal Gaussian process regression models were used to synthesise data, leveraging both spatial and temporal correlation in epidemiological trends, to optimise the comparability of results across time and geographies. To generate forecast estimates, we used forecasts of the Socio-demographic Index and temporal correlation patterns presented as annualised rate of change to inform future trajectories. We considered a reference scenario assuming the continuation of historical trends. FINDINGS Rates of overweight and obesity increased at the global and regional levels, and in all nations, between 1990 and 2021. In 2021, an estimated 1·00 billion (95% uncertainty interval [UI] 0·989-1·01) adult males and 1·11 billion (1·10-1·12) adult females had overweight and obesity. China had the largest population of adults with overweight and obesity (402 million [397-407] individuals), followed by India (180 million [167-194]) and the USA (172 million [169-174]). The highest age-standardised prevalence of overweight and obesity was observed in countries in Oceania and north Africa and the Middle East, with many of these countries reporting prevalence of more than 80% in adults. Compared with 1990, the global prevalence of obesity had increased by 155·1% (149·8-160·3) in males and 104·9% (95% UI 100·9-108·8) in females. The most rapid rise in obesity prevalence was observed in the north Africa and the Middle East super-region, where age-standardised prevalence rates in males more than tripled and in females more than doubled. Assuming the continuation of historical trends, by 2050, we forecast that the total number of adults living with overweight and obesity will reach 3·80 billion (95% UI 3·39-4·04), over half of the likely global adult population at that time. While China, India, and the USA will continue to constitute a large proportion of the global population with overweight and obesity, the number in the sub-Saharan Africa super-region is forecasted to increase by 254·8% (234·4-269·5). In Nigeria specifically, the number of adults with overweight and obesity is forecasted to rise to 141 million (121-162) by 2050, making it the country with the fourth-largest population with overweight and obesity. INTERPRETATION No country to date has successfully curbed the rising rates of adult overweight and obesity. Without immediate and effective intervention, overweight and obesity will continue to increase globally. Particularly in Asia and Africa, driven by growing populations, the number of individuals with overweight and obesity is forecast to rise substantially. These regions will face a considerable increase in obesity-related disease burden. Merely acknowledging obesity as a global health issue would be negligent on the part of global health and public health practitioners; more aggressive and targeted measures are required to address this crisis, as obesity is one of the foremost avertible risks to health now and in the future and poses an unparalleled threat of premature disease and death at local, national, and global levels. FUNDING Bill & Melinda Gates Foundation.
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Mohammed M, Jaiswal SK, Sowley ENK, Ahiabor BDK, Dakora FD. Symbiotic N 2 Fixation and Grain Yield of Endangered Kersting's Groundnut Landraces in Response to Soil and Plant Associated Bradyrhizobium Inoculation to Promote Ecological Resource-Use Efficiency. Front Microbiol 2018; 9:2105. [PMID: 30271387 PMCID: PMC6142881 DOI: 10.3389/fmicb.2018.02105] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 08/20/2018] [Indexed: 11/13/2022] Open
Abstract
Kersting's groundnut (Macrotyloma geocarpum Harms) is a neglected, endangered food and medicinal legume in Africa. Efforts to harness the benefits of the legume-rhizobia symbiosis have focused on few major legumes to the neglect of underutilized ones such as Kersting's groundnut. This study assessed plant growth, N-fixed and grain yield of five Kersting's groundnut landraces in response to inoculation with Bradyrhizobium strain CB756 at two locations in the Northern Region of Ghana. The transferability of cowpea-derived Simple Sequence Repeat (SSR) markers to Kersting's groundnut was also assessed. The symbiotic results revealed significant variation in nodulation, shoot biomass, δ15N, percent N derived from fixation, amount of N-fixed and soil N uptake. The cross-taxa SSR primers revealed monomorphic bands with sizes within the expected range in all the Kersting's groundnut landraces. The results of the aligned nucleotide sequences revealed marked genetic variability among the landraces. Kersting's groundnut was found to be a low N2-fixer, with 28-45% of its N derived from fixation at Nyankpala and 15-29% at Savelugu. Nitrogen contribution was 28-50 kg N-fixed·ha-1 at Nyankpala, and 12-32 kg N-fixed·ha-1 at Savelugu. Uninoculated plants of the Kersting's groundnut landraces Puffeun, Dowie, Sigiri and Boli, respectively, contributed 22, 16, 13, and 15 kg N-fixed·ha-1 from symbiosis at Savelugu as opposed to 89, 82, 69, and 89 kg N·ha-1 from soil. Landrace Puffeun was highly compatible with the introduced strain CB756 if based on δ15N and %Ndfa values, while Dowie, Funsi and Boli showed greater compatibility with native rhizobia in Ghanaian soils. The unimproved Kersting's groundnut in association with soil microsymbionts could produce grain yield of 1,137-1,556 kg ha-1 at Nyankpala, and 921-1,192 kg ha-1 at Savelugu. These findings suggest the need for further work to improve the efficiency of the Kersting's groundnut-rhizobia symbiosis for increased grain yield and resource-use efficiency in cropping systems.
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Mohammed M, Jaiswal SK, Dakora FD. Distribution and correlation between phylogeny and functional traits of cowpea (Vigna unguiculata L. Walp.)-nodulating microsymbionts from Ghana and South Africa. Sci Rep 2018; 8:18006. [PMID: 30573737 PMCID: PMC6302100 DOI: 10.1038/s41598-018-36324-0] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Accepted: 09/18/2018] [Indexed: 12/03/2022] Open
Abstract
Cowpea (Vigna unguiculata L. Walp.) is indigenous to Africa, and highly valued for its N2-fixing trait and the nutritional attributes of its grain and leaves. The species' ability to establish effective symbiosis with diverse rhizobial populations gives it survival and growth advantage in N-limited environments. To explore the functional diversity and phylogenetic positions of rhizobia nodulating cowpea in Africa, nodules were collected from various cowpea varieties grown in soils from the Guinea savanna and Sudano-sahelian agroecologies of Northern Ghana, and from the lowveld and middleveld areas of Mpumalanga Province in South Africa. Box-PCR profiling and multilocus sequence analysis revealed the presence of diverse microsymbionts responsible for cowpea nodulation across the study sites. BOX-PCR amplifications yielded variable band sizes, ranging from 618 bp to 5354 bp, which placed the isolates in six major clusters (Cluster A-F). Phylogenetic analysis based on 16S rRNA, atpD, glnII, gyrB, rpoB, nifH and nodC genes revealed the presence of diverse Bradyrhizobium sp. closely related to Bradyrhizobium daqingense, Bradyrhizobium subterraneum, Bradyrhizobium yuanmingense, Bradyrhizobium embrapense, Bradyrhizobium pachyrhizi, Bradyrhizobium elkanii and novel Bradyrhizobium species in the soils studied, a finding that could be attributed to the unique edapho-climatic conditions of the contrasting environments. The test isolates exhibited distinct symbiotic efficiencies, and also induced variable (p ≤ 0.001) photosynthetic rates, leaf transpiration, total chlorophyll and shoot biomass accumulation on cowpea (their homologous host). Canonical correspondence analysis showed that the distribution of these microsymbionts was influenced by the concentrations of macro- and micronutrients in soils. The pairwise genetic distances derived from phylogenies and nodule functioning showed significant (p < 0.05) correlation, which suggests that local environmental factors played a major role in the cowpea-Bradyrhizobium symbiosis.
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