Sorting out difficulties in immunological diagnosis of neurocysticercosis: Development and assessment of real time loop mediated isothermal amplification of cysticercal DNA in blood

Goyal, Gunjan; Phukan, A.; Hussain, Masaraf; Lal, Vivek; Modi, Manish; Goyal, Manoj; Sehgal, Rakesh

doi:10.1016/j.jns.2019.116544

Cited by 28 publications

(17 citation statements)

References 16 publications

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“…The molecular understanding of aging on the genetic 121 , epigenetic 122 , transcriptomic 123 , proteomic 69 and metabolomic 124 level has made steady progress over the recent years. Especially usage of C. elegans has led to a number of important discoveries 125,126 .…”

Section: Discussionmentioning

confidence: 99%

“…Recently, a study based on blood proteins predicted human age with a Pearson correlation of 0.88 more accurately than a combination of these proteins with metabolites and several clinical lab tests showing the versatility of also only a subset of proteins 68 . A review of 32 different human proteomics and aging studies aiming to identify common age-associated proteins that could be robustly identified regardless of the technique or population diversity used, resulted in an age predictor based on 83 proteins that were reported in three or more out of the 32 different studies and reported a Spearman correlation of 0.91 69 . This study also showed the current limitation of the usage of proteomics for age prediction: there is no standard in the generation of proteomic data and different techniques detect different subsets of proteins, which might lead to a measurement bias, i.e.…”

Section: Introductionmentioning

confidence: 99%

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A transcriptome based aging clock near the theoretical limit of accuracy

Meyer

Schumacher

2020

Preprint

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Aging clocks dissociate biological from chronological age. The estimation of biological age is important for identifying gerontogenes and assessing environmental, nutritional or therapeutic impacts on the aging process. Recently, methylation markers were shown to allow estimation of biological age based on age-dependent somatic epigenetic alterations. However, DNA methylation is absent in some species such as Caenorhabditis elegans and it remains unclear whether and how the epigenetic clocks affect gene expression. Aging clocks based on transcriptomes have suffered from considerable variation in the data and relatively low accuracy. Here, we devised an approach that uses temporal scaling and binarization of C. elegans transcriptomes to define a gene set that predicts biological age with an accuracy that is close to the theoretical limit. Our model accurately predicts the longevity effects of diverse strains, treatments and conditions. The involved genes support a role of specific transcription factors as well as innate immunity and neuronal signaling in the regulation of the aging process. We show that this transcriptome clock can also be applied to human age prediction with high accuracy. This transcriptome aging clock could therefore find wide application in genetic, environmental and therapeutic interventions in the aging process.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A transcriptome based aging clock near the theoretical limit of accuracy

Meyer

Schumacher

2020

Preprint

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“…Resilience is considered a multidimensional emergent phenomenon or property whose analysis requires a multidisciplinary approach. The definition and interpretation of resilience varies by context, purpose, scale, system, discipline, and domain (10). Originally, this concept was proposed in the context of physics to describe the elasticity and plasticity of materials.…”

Section: Resiliencementioning

confidence: 99%

“…Faced with the occurrence of these events, the affected system responds to the disturbance dynamically, thanks to an emerging property of these open systems called resilience (1). In recent decades, this concept has motivated the development of numerous scientific investigations (2)(3)(4)(5)(6)(7)(8)(9)(10), due to multiple challenges experienced by sociological systems (11) and reflected in political turmoil, power relations, terrorism, famines, forced displacement, refugee crises, and high recurrence and intensity of extreme weather events. The effects of these are perceived among the most vulnerable populations, generating serious health effects, and changes in productivity, which have a fundamental impact on food security and sovereignty (12)(13)(14).…”

Section: Introductionmentioning

confidence: 99%

“…The concept of resilience is considered a property or a multidimensional and multidisciplinary phenomenon, with definitions and interpretations that vary according to the context, purpose, scale, system, discipline and domain (10). It was originally analyzed by engineers to analyze the ability of some materials to respond to the action of external forces or stress.…”

Section: Introductionmentioning

confidence: 99%

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Agroecosystemic Resilience Index (AgRI): a method to assess agrobiodiversity

Leguizamo

Youkhana²,

Toro³

2020

Preprint

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Agricultural production systems, subjects of study in agroecology, are non-equilibrium open systems permanently influenced by the action of natural or anthropogenic disturbances or “ripple effects.” Faced with this situation, agroecosystems tend to maintain a state of functional equilibrium in time and space, through an emergent property known as resilience. This concept is related to the dissipative capacity of agroecosystems to interact with the disturbance in such a way as to allow it to preserve its functionality and basic structure, through attenuation of the effect that disturbs the system. The literature reports diverse methods with a variable number of indicators or criteria for the evaluation or analysis of resilience. Many of these present conceptual deficiencies considering that the components of the system have similar characteristics and linear responses, that is, they do not show changes due to the action or nature of the disturbance. In this sense, there is a need to propose a generic method to analyze and evaluate agroecosystemic resilience, through a complex and comprehensive approach that takes into consideration the interaction of physical, biotic, socioeconomic or symbolic components of the system. These interactions are differential (weighted), to facilitate decision-making by the community, farmers, or administrators, regarding adaptations, adjustments or modifications that allow the agroecosystem to maintain its productivity and permanence.

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Understanding methane emission from stored animal manure: A review to guide model development

et al. 2021

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National inventories of methane (CH 4 ) emission from manure management are based on guidelines from the Intergovernmental Panel on Climate Change using countryspecific emission factors. These calculations must be simple and, consequently, the effects of management practices and environmental conditions are only crudely represented in the calculations. The intention of this review is to develop a detailed understanding necessary for developing accurate models for calculating CH 4 emission from liquid manure, with particular focus on the microbiological conversion of organic matter to CH 4 . Themes discussed are (a) the liquid manure environment; (b) methane production processes from a modeling perspective; (c) development and adaptation of methanogenic communities; (d) mass and electron conservation; (e) steps limiting CH 4 production; (f) inhibition of methanogens; (g) temperature effects on CH 4 production; and (h) limits of existing estimation approaches. We conclude that a model must include calculation of microbial response to variations in manure temperature, substrate availability and age, and management system, because these variables substantially affect CH 4 production. Methane production can be reduced by manipulating key variables through management procedures, and the effects may be taken into account by including a microbial component in the model. When developing new calculation procedures, it is important to include reasonably accurate algorithms of microbial adaptation. This review presents concepts for these calculations and ideas for how these may be carried out. A need for better quantification of hydrolysis kinetics is identified, and the importance of short-and long-term microbial adaptation is highlighted.

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Sorting out difficulties in immunological diagnosis of neurocysticercosis: Development and assessment of real time loop mediated isothermal amplification of cysticercal DNA in blood

Cited by 28 publications

References 16 publications

A transcriptome based aging clock near the theoretical limit of accuracy

A transcriptome based aging clock near the theoretical limit of accuracy

Agroecosystemic Resilience Index (AgRI): a method to assess agrobiodiversity

Understanding methane emission from stored animal manure: A review to guide model development

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