| 1. |
- Nisa, Zaib Un, et al.
(författare)
-
A comparative metabolomic study on desi and kabuli chickpea (Cicer arietinum L.) genotypes under rainfed and irrigated field conditions
- 2020
-
Ingår i: Scientific Reports. - BERLIN GERMANY : Springer Science and Business Media LLC. - 2045-2322. ; 10:1
-
Tidskriftsartikel (refereegranskat)abstract
- Chickpea is considered among the most important leguminous crops in the world. However, in recent years drought conditions and/or limited availability of water have significantly reduced the production of chickpea. The current study was aimed to understand the legume stress response at the metabolic level for the determination of chickpea genotypes which can resist yield losses and could be cultivated with limited water availability. Here, we have analyzed two genotypes of chickpea, desi and kabuli under rainfed condition using a GC-MS based untargeted metabolomics approach. Results revealed significant differences in several metabolite features including oxalic acid, threonic acid, inositol, maltose and L-proline between studied groups. Accumulation of plant osmoprotectants such as L-proline, sugars and sugar alcohols was higher in desi genotype than kabuli genotype of chickpea when grown under the rainfed condition. Metabolic pathway analysis suggests that the inositol phosphate metabolism was involved in plant defense mechanisms against the limited water availability.
|
|
| 2. |
- Abbas, Nasir, et al.
(författare)
-
Untargeted-metabolomics differentiation between poultry samples slaughtered with and without detaching spinal cord
- 2020
-
Ingår i: Arabian Journal of Chemistry. - : ELSEVIER. - 1878-5352 .- 1878-5379. ; 13:12, s. 9081-9089
-
Tidskriftsartikel (refereegranskat)abstract
- Chicken meat is among the common and relatively inexpensive source of protein consumed worldwide from the poultry industry. Many communities show concern regarding the procedure of slaughtering animals for meat consumption due to ethical, religious, or cultural reasons. Liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS) based untargeted metabolomics of 40 chicken meat samples were evaluated to differentiate meat samples based on slaughtering methods. Samples were grouped into, Zabiha (cutting neck without detaching spinal cord) and Non-Zabiha (completely detaching neck). A volcano plot reveals at least 150 features found significantly different between the two groups having >= 2-fold changes in intensities with p-values <= 0.05. Among them 05 identified and 25 unidentified metabolites have clear differences in peak intensities. The identified features can be employed to differentiate meat obtained from different slaughtering methods. A characteristic pattern based on principal component analysis (PCA) and orthogonal partial least square-discriminant analysis (OPLS-DA) was observed among the groups. The results will benefit Halal certification, food safety, and security agencies to curb food fraud. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of King Saud University.
|
|
| 3. |
- Feigin, Valery L., et al.
(författare)
-
Global, regional, and national burden of stroke and its risk factors, 1990-2019 : a systematic analysis for the Global Burden of Disease Study 2019
- 2021
-
Ingår i: Lancet Neurology. - : Elsevier. - 1474-4422 .- 1474-4465. ; 20:10, s. 795-820
-
Tidskriftsartikel (refereegranskat)abstract
- Background Regularly updated data on stroke and its pathological types, including data on their incidence, prevalence, mortality, disability, risk factors, and epidemiological trends, are important for evidence-based stroke care planning and resource allocation. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) aims to provide a standardised and comprehensive measurement of these metrics at global, regional, and national levels. Methods We applied GBD 2019 analytical tools to calculate stroke incidence, prevalence, mortality, disability-adjusted life-years (DALYs), and the population attributable fraction (PAF) of DALYs (with corresponding 95% uncertainty intervals [UIs]) associated with 19 risk factors, for 204 countries and territories from 1990 to 2019. These estimates were provided for ischaemic stroke, intracerebral haemorrhage, subarachnoid haemorrhage, and all strokes combined, and stratified by sex, age group, and World Bank country income level. Findings In 2019, there were 12.2 million (95% UI 11.0-13.6) incident cases of stroke, 101 million (93.2-111) prevalent cases of stroke, 143 million (133-153) DALYs due to stroke, and 6.55 million (6.00-7.02) deaths from stroke. Globally, stroke remained the second-leading cause of death (11.6% [10.8-12.2] of total deaths) and the third-leading cause of death and disability combined (5.7% [5.1-6.2] of total DALYs) in 2019. From 1990 to 2019, the absolute number of incident strokes increased by 70.0% (67.0-73.0), prevalent strokes increased by 85.0% (83.0-88.0), deaths from stroke increased by 43.0% (31.0-55.0), and DALYs due to stroke increased by 32.0% (22.0-42.0). During the same period, age-standardised rates of stroke incidence decreased by 17.0% (15.0-18.0), mortality decreased by 36.0% (31.0-42.0), prevalence decreased by 6.0% (5.0-7.0), and DALYs decreased by 36.0% (31.0-42.0). However, among people younger than 70 years, prevalence rates increased by 22.0% (21.0-24.0) and incidence rates increased by 15.0% (12.0-18.0). In 2019, the age-standardised stroke-related mortality rate was 3.6 (3.5-3.8) times higher in the World Bank low-income group than in the World Bank high-income group, and the age-standardised stroke-related DALY rate was 3.7 (3.5-3.9) times higher in the low-income group than the high-income group. Ischaemic stroke constituted 62.4% of all incident strokes in 2019 (7.63 million [6.57-8.96]), while intracerebral haemorrhage constituted 27.9% (3.41 million [2.97-3.91]) and subarachnoid haemorrhage constituted 9.7% (1.18 million [1.01-1.39]). In 2019, the five leading risk factors for stroke were high systolic blood pressure (contributing to 79.6 million [67.7-90.8] DALYs or 55.5% [48.2-62.0] of total stroke DALYs), high body-mass index (34.9 million [22.3-48.6] DALYs or 24.3% [15.7-33.2]), high fasting plasma glucose (28.9 million [19.8-41.5] DALYs or 20.2% [13.8-29.1]), ambient particulate matter pollution (28.7 million [23.4-33.4] DALYs or 20.1% [16.6-23.0]), and smoking (25.3 million [22.6-28.2] DALYs or 17.6% [16.4-19.0]). Interpretation The annual number of strokes and deaths due to stroke increased substantially from 1990 to 2019, despite substantial reductions in age-standardised rates, particularly among people older than 70 years. The highest age-standardised stroke-related mortality and DALY rates were in the World Bank low-income group. The fastest-growing risk factor for stroke between 1990 and 2019 was high body-mass index. Without urgent implementation of effective primary prevention strategies, the stroke burden will probably continue to grow across the world, particularly in low-income countries.
|
|
| 4. |
- Jabbar, Abdul, et al.
(författare)
-
Epidemiology and antibiogram of common mastitis-causing bacteria in Beetal goats
- 2020
-
Ingår i: Veterinary World. - : Veterinary World. - 0972-8988 .- 2231-0916. ; 13:12, s. 2596-2607
-
Tidskriftsartikel (refereegranskat)abstract
- Background and Aim: Mastitis has been identified as the most prevalent and economically imperative disease among dairy animals. Thus, understanding its common bacterial pathogens and risk factors is necessary to improve udder health at herd, region, or country level. However, scientific research on caprine mastitis, especially on Beetal breed, has remained to be insufficient in Pakistan. Therefore, this study aimed to evaluate the epidemiology and antibiogram assay of common mastitis-causing bacterial agents, that is, Staphylococcus, Streptococcus, and Escherichia coli, in dairy goats.Materials and Methods: In total, 500 Beetal goats, irrespective of age and those that were not treated with any kind of antimicrobial agents during the past 120 h, were screened using California Mastitis Test in Pattoki, Kasur District, whereas epidemiological factors were recorded. The milk samples of mastitic goats were then collected and processed using standard methods. Each sample was primarily cultured on nutrient agar. Using a specific medium, each bacterial colony was separated using several streak methods. Six antibiotic disks belonging to different antibiotic groups were used for antibiogram profiling of bacterial isolates. Chi-square test was used to assess the association of baseline characteristics and mastitis occurrence. Meanwhile, multivariable logistic regression (p<0.001) was utilized to determine the risk factors associated with positive and negative dichotomous outcome of mastitis.Results: The results revealed that the overall prevalence of goat mastitis was 309 (61.8%), in which 260 (52%) and 49 (9.8%) cases were positive for subclinical mastitis (SCM) and clinical mastitis (CM), respectively. Streptococcus and E. coli were found to be the predominant isolates causing SCM and CM, respectively (p<0.001). It was observed that amoxicillin+clavulanic acid was highly sensitive to isolates of Staphylococcus and Streptococcus and ceftiofur sodium to isolates of Streptococcus and E. coli, while enrofloxacin was found to be sensitive to isolates of Streptococcus and E. coli. Risk factors such as herd structure, deworming, vaccination, presence of ticks, use of teat dip and mineral supplements, feeding type, age, parity, housing, blood in the milk, milk leakage, milk taste, and milk yield were found to have the strongest association with mastitis occurrence, while ease of milking has moderate association.Conclusion: In the area examined, cases of SCM were found to be higher compared with that of CM, and ceftiofur sodium has been identified as the preferred treatment in both clinical and subclinical forms of caprine mastitis in Beetal goats. Risk factors for mastitis that was identified in this study can form the basis for the creation of an udder health control program specific for dairy goats. We hope our findings could raise awareness of the risk factors and treatment approaches for common mastitis-causing bacterial agents.
|
|
| 5. |
- Kumari, Sindhia, et al.
(författare)
-
Metabolomics approach to understand the hepatitis C virus induced hepatocellular carcinoma using LC-ESI-MS/MS
- 2021
-
Ingår i: Arabian Journal of Chemistry. - : Elsevier. - 1878-5352 .- 1878-5379. ; 14:1
-
Tidskriftsartikel (refereegranskat)abstract
- Hepatocellular carcinoma (HCC) is a typical cancer that has region specified analysis with the incidence of hepatitis C virus (HCV) infection. This study was conducted to improve the understanding of metabolic alterations associated with HCV induced HCC which can open up new strategies to monitor the high risk of HCC. Samples of the subjects with HCV, HCV induced chronic liver disease (CLD), HCV induced HCC, and healthy controls (HS) were collected after complete blood count (CBC), hepatitis viral load, st-fetoprotein (AFP), liver function tests, and albumin. A total of 147 serum samples including HCC (n = 11), CLD (n = 24), HCV (n = 71), and HS (n = 41) were analyzed by LC-ESI-MS/MS. The 21 compounds were found to be responsible for group discrimination after the application of chemometric tools. Nfructosyl tyrosine and hydroxyindoleacetic acid showed an increase in level whereas L-aspartylL-phenylalanine and thyroxine showed a consistent decrease in the progression of HCV to HCC in comparison with HS indicating their importance for early detection. The biological pathways such as glycerophospholipid metabolism, phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism and tryptophan metabolism showed alteration in some metabolites. The method was internally validated by ROC plot showing AUC value for HS, HCV, CLD, and HCC as 0.99, 1, 1, and 0.89, respectively; while 16 blind samples were also validated with 93% specificity. The untargeted metabolomics investigation of HCV, CLD, and HCC can help to understand the progression of HCV-induced HCC. It reveals significant differences in metabolites to predict prognostic and diagnostic markers. (C) 2020 The Author(s). Published by Elsevier B.V. on behalf of King Saud University.
|
|
| 6. |
- Shah, Ayesha Agha, et al.
(författare)
-
Adaptive Reuse of Historic Buildings: An Ecological Indicator
- 2023
-
Ingår i: Urban Metabolism and Climate Change: Perspective for Sustainable Cities. - : Springer. - 9783031294211 - 9783031294228 ; , s. 111-134
-
Bokkapitel (refereegranskat)abstract
- Urban metabolism (UM) is the sum of processes for which cities mobilize, consume, and transform their resources for built environments to function effectively. It consists of interrelated processes working at various urban levels forming an intri-cate socio-environmental network to achieve urban sustainability, including adap-tive reuse of heritage buildings. As significant components of historic urban areas, heritage buildings are adapted for appropriate functions to prolong their lifespans. This standard practice is an ideal solution for reducing adverse environmental impacts of the construction industry given that new buildings consume energy and resources and have large carbon footprints. Moreover, the adaptive reuse of heritage build-ings increases socio-cultural viability and promotes eco-friendly environments. This practice of rehabilitation and reuse has been studied vastly. However, the relation-ship between urban metabolism and heritage buildings from an ecological perspec-tive has not largely gained scholarly attention. Hence, this chapter explores this relationship by advocating that reuse and conservation are ecological principles, and that adopting existing infrastructure such as historical buildings and increasing their life cycles contributes toward desirable urban metabolism. This brings down cost and time of construction, requires less resources, retains a set of materials for longer periods for metabolic processes, and promotes environmental and social sustainability. The chapter reviews relevant literature and specific adaptive reuse case studies in urban areas around the globe including restoration and redevelopment of singular or multiple heritage buildings that display significant positive environmental impacts such as addressing resource depletion and reducing greenhouse gas (GHG) emissions. The chapter also highlights the ecological aspect of a built environment concerning sustainable supply of materials and energy required for a desired urban metabolism. Based on this, the research builds a case for conservation and adap-tive reuse to be employed as an important indicator for urban metabolism through maintenance and management of historical urban built environments.
|
|
| 7. |
- Velu, Periyannan, et al.
(författare)
-
Whole genome analysis and homology modeling of SARS-CoV-2 Indian isolate reveals potent FDA approved drug choice for treating COVID-19
- 2023
-
Ingår i: Journal of Biomolecular Structure and Dynamics. - : Taylor & Francis. - 0739-1102 .- 1538-0254. ; 41:7, s. 2772-2788
-
Tidskriftsartikel (refereegranskat)abstract
- Coronaviruses have caused enough devastation in the last two decades. These viruses have some rare features while sharing some common features. Novel coronavirus disease (nCoV-19) caused an outbreak with a fatality rate of 5%. It emerged from China and spread into many countries. The present research focused on genome analysis of Indian nCoV-19 Isolate and its translational product subjected to homology modeling and its subsequent molecular simulations to find out potent FDA approved drug for treating COVID-19. Phylogenetic analysis of SARS-CoV-2 Indian isolate shows close resemblance with 17 countries SARS-CoV-2 isolates. Homology modeling of four non-structural proteins translational product of Indian SARS-CoV-2 genome shows high similarity and allowed regions with the existing PDB deposited SARS-CoV-2 target proteins. Finally, these four generated proteins show more affinity with cobicistat, remdesivir and indinavir out of 14 screened FDA approved drugs in molecular docking which is further proven by molecular dynamics simulation and MMGBSA analysis of target ligand complex with best simulation trajectories. Overall our present research findings is that three proposed drugs namely cobicistat, remdesivir and indinavir showed higher interaction with the model SARS-CoV-2 viral target proteins from the Indian nCoV-19 isolate. These compounds could be used as a starting point for the creation of active antiviral drugs to combat the deadly COVID-19 virus during global pandemic and its subsequent viral infection waves across the globe. Communicated by Ramaswamy H. Sarma
|
|
| 8. |
|
|
