Results 21-40 of 106.
![]() ; Aho, Velma ![]() ![]() E-print/Working paper (2022) Patients with Parkinson’s disease (PD) exhibit differences in their gut microbiomes compared to healthy individuals. Although differences have most commonly been described in the abundances of bacterial ... [more ▼] Patients with Parkinson’s disease (PD) exhibit differences in their gut microbiomes compared to healthy individuals. Although differences have most commonly been described in the abundances of bacterial taxa, changes to viral and archaeal populations have also been observed. Mechanistic links between gut microbes and PD pathogenesis remain elusive but could involve molecules that promote α-synuclein aggregation. Here, we show that 2-hydroxypyridine (2-HP) represents a key molecule for the pathogenesis of PD. We observe significantly elevated 2-HP levels in faecal samples from patients with PD or its prodrome, idiopathic REM sleep behaviour disorder (iRBD), compared to healthy controls. 2-HP is correlated with the archaeal species Methanobrevibacter smithii and with genes involved in methane metabolism, and it is detectable in isolate cultures of M. smithii. We demonstrate that 2-HP is selectively toxic to transgenic α-synuclein overexpressing yeast and increases α-synuclein aggregation in a yeast model as well as in human induced pluripotent stem cell derived enteric neurons. It also exacerbates PD-related motor symptoms, α-synuclein aggregation, and striatal degeneration when injected intrastriatally in transgenic mice overexpressing human α-synuclein. Our results highlight the effect of an archaeal molecule in relation to the gut-brain axis, which is critical for the diagnosis, prognosis, and treatment of PD. [less ▲] Detailed reference viewed: 188 (14 UL)![]() ; ; et al Report (2022) Abstract Despite the increasing availability of tandem mass spectrometry (MS/MS) community spectral libraries for untargeted metabolomics over the past decade, the majority of acquired MS/MS spectra ... [more ▼] Abstract Despite the increasing availability of tandem mass spectrometry (MS/MS) community spectral libraries for untargeted metabolomics over the past decade, the majority of acquired MS/MS spectra remain uninterpreted. To further aid in interpreting unannotated spectra, we created a nearest neighbor suspect spectral library, consisting of 87,916 annotated MS/MS spectra derived from hundreds of millions of public MS/MS spectra. Annotations were propagated based on structural relationships to reference molecules using MS/MS-based spectrum alignment. We demonstrate the broad relevance of the nearest neighbor suspect spectral library through representative examples of propagation-based annotation of acylcarnitines, bacterial and plant natural products, and drug metabolism. Our results also highlight how the library can help to better understand an Alzheimer’s brain phenotype. The nearest neighbor suspect spectral library is openly available through the GNPS platform to help investigators hypothesize candidate structures for unknown MS/MS spectra in untargeted metabolomics data. [less ▲] Detailed reference viewed: 37 (1 UL)![]() ; ; et al in Environmental Sciences Europe (2022), 34(1), 21 Abstract The chemical pollution crisis severely threatens human and environmental health globally. To tackle this challenge the establishment of an overarching international science–policy body has ... [more ▼] Abstract The chemical pollution crisis severely threatens human and environmental health globally. To tackle this challenge the establishment of an overarching international science–policy body has recently been suggested. We strongly support this initiative based on the awareness that humanity has already likely left the safe operating space within planetary boundaries for novel entities including chemical pollution. Immediate action is essential and needs to be informed by sound scientific knowledge and data compiled and critically evaluated by an overarching science–policy interface body. Major challenges for such a body are (i) to foster global knowledge production on exposure, impacts and governance going beyond data-rich regions (e.g., Europe and North America), (ii) to cover the entirety of hazardous chemicals, mixtures and wastes, (iii) to follow a one-health perspective considering the risks posed by chemicals and waste on ecosystem and human health, and (iv) to strive for solution-oriented assessments based on systems thinking. Based on multiple evidence on urgent action on a global scale, we call scientists and practitioners to mobilize their scientific networks and to intensify science–policy interaction with national governments to support the negotiations on the establishment of an intergovernmental body based on scientific knowledge explaining the anticipated benefit for human and environmental health. [less ▲] Detailed reference viewed: 79 (4 UL)![]() Mohammed Taha, Hiba ![]() in Environmental Sciences Europe (2022), 34(1), 104 Abstract Background The NORMAN Association ( https://www.norman-network.com/ ) initiated the NORMAN Suspect List Exchange (NORMAN-SLE https://www.norman-network.com/nds/SLE/ ) in 2015, following the ... [more ▼] Abstract Background The NORMAN Association ( https://www.norman-network.com/ ) initiated the NORMAN Suspect List Exchange (NORMAN-SLE https://www.norman-network.com/nds/SLE/ ) in 2015, following the NORMAN collaborative trial on non-target screening of environmental water samples by mass spectrometry. Since then, this exchange of information on chemicals that are expected to occur in the environment, along with the accompanying expert knowledge and references, has become a valuable knowledge base for “suspect screening” lists. The NORMAN-SLE now serves as a FAIR (Findable, Accessible, Interoperable, Reusable) chemical information resource worldwide. Results The NORMAN-SLE contains 99 separate suspect list collections (as of May 2022) from over 70 contributors around the world, totalling over 100,000 unique substances. The substance classes include per- and polyfluoroalkyl substances (PFAS), pharmaceuticals, pesticides, natural toxins, high production volume substances covered under the European REACH regulation (EC: 1272/2008), priority contaminants of emerging concern (CECs) and regulatory lists from NORMAN partners. Several lists focus on transformation products (TPs) and complex features detected in the environment with various levels of provenance and structural information. Each list is available for separate download. The merged, curated collection is also available as the NORMAN Substance Database (NORMAN SusDat). Both the NORMAN-SLE and NORMAN SusDat are integrated within the NORMAN Database System (NDS). The individual NORMAN-SLE lists receive digital object identifiers (DOIs) and traceable versioning via a Zenodo community ( https://zenodo.org/communities/norman-sle ), with a total of \textgreater 40,000 unique views, \textgreater 50,000 unique downloads and 40 citations (May 2022). NORMAN-SLE content is progressively integrated into large open chemical databases such as PubChem ( https://pubchem.ncbi.nlm.nih.gov/ ) and the US EPA’s CompTox Chemicals Dashboard ( https://comptox.epa.gov/dashboard/ ), enabling further access to these lists, along with the additional functionality and calculated properties these resources offer. PubChem has also integrated significant annotation content from the NORMAN-SLE, including a classification browser ( 101 ). Conclusions The NORMAN-SLE offers a specialized service for hosting suspect screening lists of relevance for the environmental community in an open, FAIR manner that allows integration with other major chemical resources. These efforts foster the exchange of information between scientists and regulators, supporting the paradigm shift to the “one substance, one assessment” approach. New submissions are welcome via the contacts provided on the NORMAN-SLE website ( https://www.norman-network.com/nds/SLE/ ). [less ▲] Detailed reference viewed: 40 (2 UL)![]() Aurich, Dagny ![]() ![]() in Exposome (2021), 00(0), Awareness of the exposome and its influence on health has increased in the last decade. As past exposures can cause changes in human health many years later, delving into the past is relevant for both ... [more ▼] Awareness of the exposome and its influence on health has increased in the last decade. As past exposures can cause changes in human health many years later, delving into the past is relevant for both diagnostic and prevention purposes, but remains a challenging task. Lifestyle, diet, and socioeconomic information of the past should be well documented and compatible with modern data science methods. While chemical analysis nowadays makes use of high resolution mass spectrometry (HR-MS) for highly sensitive and comprehensive coverage of samples plus retrospective analysis, these data archives are in the very early stages. Since past measurements are often only available for a limited set of chemicals, adding to this knowledge requires careful selection of sample types and sampling sites, which may not always be available. The choice of analytes and analytical methods should be suitable for the study question —which is not always clear in advance in exposomics. Data interpretation and the use of appropriate databases are indispensable for a proper exposure assessment, and as databases and knowledge grow, re-analysis of physically or digitally archived samples could enable “continuous monitoring” efforts. This review focuses on the chemical analytical approaches necessary to capture the complexity of the historical exposome. Various sample types, analytes as well as analyses and data interpretation methods are discussed in relation to chemical exposures, while the connection to health remains in focus. It ends with perspectives and challenges in assessing the historical exposome, discussing how we can “learn from the past” to build a better future. [less ▲] Detailed reference viewed: 79 (22 UL)![]() Schymanski, Emma ![]() Presentation (2021, December 15) Detailed reference viewed: 31 (0 UL)![]() Schymanski, Emma ![]() Presentation (2021, November 10) Detailed reference viewed: 28 (1 UL)![]() Schymanski, Emma ![]() Presentation (2021, October 26) Detailed reference viewed: 33 (0 UL)![]() Schymanski, Emma ![]() Scientific Conference (2021, October 20) Detailed reference viewed: 25 (0 UL)![]() Schymanski, Emma ![]() Scientific Conference (2021, September 14) Detailed reference viewed: 25 (0 UL)![]() Schymanski, Emma ![]() Scientific Conference (2021, September 14) Detailed reference viewed: 29 (0 UL)![]() Schymanski, Emma ![]() Scientific Conference (2021, September 10) Detailed reference viewed: 27 (0 UL)![]() Schymanski, Emma ![]() Scientific Conference (2021, September 01) Detailed reference viewed: 30 (0 UL)![]() Schymanski, Emma ![]() Presentation (2021, July 23) Detailed reference viewed: 29 (0 UL)![]() Schymanski, Emma ![]() in Journal of Cheminformatics (2021), 13(1), 50 Abstract The ability to access chemical information openly is an essential part of many scientific disciplines. The Journal of Cheminformatics is leading the way for rigorous, open cheminformatics in many ... [more ▼] Abstract The ability to access chemical information openly is an essential part of many scientific disciplines. The Journal of Cheminformatics is leading the way for rigorous, open cheminformatics in many ways, but there remains room for improvement in primary areas. This letter discusses how both authors and the journal alike can help increase the FAIR ness (Findability, Accessibility, Interoperability, Reusability) of the chemical structural information in the journal. A proposed chemical structure template can serve as an interoperable Additional File format (already accessible ), made more findable by linking the DOI of this data file to the article DOI metadata, supporting further reuse . [less ▲] Detailed reference viewed: 82 (0 UL)![]() Schymanski, Emma ![]() Presentation (2021, July 02) Detailed reference viewed: 40 (3 UL)![]() ; ; Kondic, Todor ![]() Scientific Conference (2021, June 24) Detailed reference viewed: 56 (3 UL)![]() Schymanski, Emma ![]() Presentation (2021, June 17) Detailed reference viewed: 35 (1 UL)![]() Schymanski, Emma ![]() Scientific Conference (2021, April 27) Detailed reference viewed: 38 (0 UL)![]() Schymanski, Emma ![]() ![]() Scientific Conference (2021, April 10) Detailed reference viewed: 41 (4 UL) |
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