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  1. Book: Janda - Manuelle Muskelfunktionsdiagnostik

    Smolenski, Ulrich C. / Buchmann, Johannes / Beyer, Lothar / Harke, Gabriele / Seidel, Wolfram / Pahnke, Jens

    Theorie und Praxis

    2020  

    Author's details Ulrich-Christian Smolenski, Johannes Buchmann, Lothar Beyer ; mit Beiträgen von Dr. med. Gabriele Harke, Berlin, Dr. med. Wolfram Seidel, Oranienburg, Prof. Dr. med. Dr. rer. nat. Jens Pahnke, Oslo
    Keywords Anatomie ; Ausbildung ; Bewegungsapparat ; Funktionsdiagnostik ; Janda ; Kraft ; Manuelle Medizin ; Manuelle Therapie ; Muskel ; Muskelfunktion ; Muskeltests ; Physiotherapie ; Rückenbeschwerden ; Schmerz ; Triggerpunkte ; Untersuchung ; Muskelfunktionsprüfung
    Subject Muskelfunktionstest
    Subject code 610
    Language German
    Size X, 309 Seiten, Illustrationen, 27 cm x 21 cm
    Edition 6., aktualisierte Auflage
    Publisher Elsevier
    Publishing place München
    Publishing country Germany
    Document type Book
    Old title Vorangegangen ist
    HBZ-ID HT020477369
    ISBN 978-3-437-46433-1 ; 3-437-46433-7 ; 9783437058011 ; 3437058010
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2020 A 838 available for loan (reading room) Lesesaal EG

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  2. Article ; Online: Approval first, research afterwards?

    Hegrand, Myra / Pahnke, Jens

    Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke

    2021  Volume 141

    Title translation Godkjenning først, forskning etterpå?
    Language Norwegian
    Publishing date 2021-09-14
    Publishing country Norway
    Document type Journal Article
    ZDB-ID 603504-8
    ISSN 0807-7096 ; 0029-2001
    ISSN (online) 0807-7096
    ISSN 0029-2001
    DOI 10.4045/tidsskr.21.0590
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  3. Article: HD_BPMDS: a curated binary pattern multitarget dataset of Huntington's disease-targeting agents.

    Stefan, Sven Marcel / Pahnke, Jens / Namasivayam, Vigneshwaran

    Journal of cheminformatics

    2023  Volume 15, Issue 1, Page(s) 109

    Abstract: The discovery of both distinctive lead molecules and novel drug targets is a great challenge in drug discovery, which particularly accounts for orphan diseases. Huntington's disease (HD) is an orphan, neurodegenerative disease of which the pathology is ... ...

    Abstract The discovery of both distinctive lead molecules and novel drug targets is a great challenge in drug discovery, which particularly accounts for orphan diseases. Huntington's disease (HD) is an orphan, neurodegenerative disease of which the pathology is well-described. However, its pathophysiological background and molecular mechanisms are poorly understood. To date, only 2 drugs have been approved on the US and European markets, both of which address symptomatic aspects of this disease only. Although several hundreds of agents were described with efficacy against the HD phenotype in in vitro and/or in vivo models, a successful translation into clinical use is rarely achieved. Two major impediments are, first, the lack of awareness and understanding of the interactome-the sum of key proteins, cascades, and mediators-that contributes to HD initiation and progression; and second, the translation of the little gained knowledge into useful model systems. To counteract this lack of data awareness, we manually compiled and curated the entire modulator landscape of successfully evaluated pre-clinical small-molecule HD-targeting agents which are annotated with substructural molecular patterns, physicochemical properties, as well as drug targets, and which were linked to benchmark databases such as PubChem, ChEMBL, or UniProt. Particularly, the annotation with substructural molecular patterns expressed as binary code allowed for the generation of target-specific and -unspecific fingerprints which could be used to determine the (poly)pharmacological profile of molecular-structurally distinct molecules.
    Language English
    Publishing date 2023-11-17
    Publishing country England
    Document type Journal Article
    ZDB-ID 2486539-4
    ISSN 1758-2946
    ISSN 1758-2946
    DOI 10.1186/s13321-023-00775-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Advancing 6-bromo-7-[

    Mairinger, Severin / Jackwerth, Matthias / Soukup, Ondřej / Blaickner, Matthias / Decristoforo, Clemens / Nics, Lukas / Pahnke, Jens / Hacker, Marcus / Zeitlinger, Markus / Langer, Oliver

    EJNMMI radiopharmacy and chemistry

    2024  Volume 9, Issue 1, Page(s) 34

    Abstract: Background: 6-Bromo-7-[: Results: [: Conclusions: [ ...

    Abstract Background: 6-Bromo-7-[
    Results: [
    Conclusions: [
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article
    ISSN 2365-421X
    ISSN (online) 2365-421X
    DOI 10.1186/s41181-024-00265-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The atorvastatin metabolite pattern in muscle tissue and blood plasma is associated with statin muscle side effects in patients with coronary heart disease; An exploratory case-control study.

    Lauritzen, Trine / Munkhaugen, John / Bergan, Stein / Peersen, Kari / Svarstad, Anja Camilla / Andersen, Anders M / Pahnke, Jens / Husebye, Einar / Vethe, Nils Tore

    Atherosclerosis plus

    2024  Volume 55, Page(s) 31–38

    Abstract: Background and aims: Statin-associated muscle symptoms (SAMS) is a prevalent cause of statin discontinuation. It is challenging and time-consuming for clinicians to assess whether symptoms are caused by the statin or not, and diagnostic biomarkers are ... ...

    Abstract Background and aims: Statin-associated muscle symptoms (SAMS) is a prevalent cause of statin discontinuation. It is challenging and time-consuming for clinicians to assess whether symptoms are caused by the statin or not, and diagnostic biomarkers are requested. Atorvastatin metabolites have been associated with SAMS. We aimed to compare atorvastatin pharmacokinetics between coronary heart disease (CHD) patients with and without clinically statin intolerance and statin-dependent histopathological alterations in muscle tissue. Secondarily we aimed to assess genetic variants relevant for the observed pharmacokinetic variables.
    Methods: Twenty-eight patients with CHD and subjective SAMS were included in the exploratory MUSE biomarker study in 2020. Participants received atorvastatin 40 mg/day for seven weeks followed by no statins for eight weeks. Muscle biopsies and blood were collected at the end of each period. Four patients were categorized as clinically intolerant to ≥3 statins prior to study start whereas four patients had signs of muscle cell damage during treatment.
    Results: We found significantly lower levels of atorvastatin acids, and higher lactone/acid ratios in the statin intolerant, both in muscle and plasma. With optimal cut-off, the combination of 2-OH-atorvastatin acid and the 2-OH-atorvastatin lactone/acid ratio provided sensitivity, specificity, and predictive values of 100 %. Patients with variants in
    Conclusion: Atorvastatin metabolites appear promising as biomarkers for the identification of clinical statin intolerance in patients with self-perceived SAMS, but the findings have to be confirmed in larger studies.
    Language English
    Publishing date 2024-01-14
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2667-0895
    ISSN (online) 2667-0895
    DOI 10.1016/j.athplu.2024.01.001
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Role of ABCA7 in Human Health and in Alzheimer's Disease.

    Dib, Shiraz / Pahnke, Jens / Gosselet, Fabien

    International journal of molecular sciences

    2021  Volume 22, Issue 9

    Abstract: Several studies, including genome wide association studies (GWAS), have strongly suggested a central role for the ATP-binding cassette transporter subfamily A member 7 (ABCA7) in Alzheimer's disease (AD). This ABC transporter is now considered as an ... ...

    Abstract Several studies, including genome wide association studies (GWAS), have strongly suggested a central role for the ATP-binding cassette transporter subfamily A member 7 (ABCA7) in Alzheimer's disease (AD). This ABC transporter is now considered as an important genetic determinant for late onset Alzheimer disease (LOAD) by regulating several molecular processes such as cholesterol metabolism and amyloid processing and clearance. In this review we shed light on these new functions and their cross-talk, explaining its implication in brain functioning, and therefore in AD onset and development.
    MeSH term(s) ATP-Binding Cassette Transporters/genetics ; ATP-Binding Cassette Transporters/metabolism ; Alzheimer Disease/genetics ; Alzheimer Disease/metabolism ; Amyloid/metabolism ; Amyloid beta-Peptides/metabolism ; Amyloid beta-Protein Precursor/metabolism ; Brain/metabolism ; Cholesterol/metabolism ; Genetic Predisposition to Disease/genetics ; Genome-Wide Association Study ; Humans ; Phagocytosis/physiology ; Polymorphism, Single Nucleotide/genetics
    Chemical Substances ABCA7 protein, human ; ATP-Binding Cassette Transporters ; Amyloid ; Amyloid beta-Peptides ; Amyloid beta-Protein Precursor ; Cholesterol (97C5T2UQ7J)
    Language English
    Publishing date 2021-04-27
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms22094603
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Development of deep learning models for microglia analyses in brain tissue using DeePathology™ STUDIO.

    Möhle, Luisa / Bascuñana, Pablo / Brackhan, Mirjam / Pahnke, Jens

    Journal of neuroscience methods

    2021  Volume 364, Page(s) 109371

    Abstract: Background: Interest in artificial intelligence-driven analysis of medical images has seen a steep increase in recent years. Thus, our paper aims to promote and facilitate the use of this state-of-the-art technology to fellow researchers and clinicians.! ...

    Abstract Background: Interest in artificial intelligence-driven analysis of medical images has seen a steep increase in recent years. Thus, our paper aims to promote and facilitate the use of this state-of-the-art technology to fellow researchers and clinicians.
    New method: We present custom deep learning models generated in DeePathology™ STUDIO without the need for background knowledge in deep learning and computer science underlined by practical suggestions.
    Results: We describe the general workflow in this commercially available software and present three real-world examples how to detect microglia on IBA1-stained mouse brain sections including their differences, validation results and analysis of a sample slide.
    Comparison with existing methods: Deep-learning assisted analysis of histological images is faster than classical analysis methods, and offers a wide variety of detection possibilities that are not available using methods based on staining intensity.
    Conclusions: Reduced researcher bias, increased speed and extended possibilities make deep-learning assisted analysis of histological images superior to traditional analysis methods for histological images.
    MeSH term(s) Animals ; Artificial Intelligence ; Brain ; Deep Learning ; Image Processing, Computer-Assisted ; Mice ; Microglia
    Language English
    Publishing date 2021-09-27
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 282721-9
    ISSN 1872-678X ; 0165-0270
    ISSN (online) 1872-678X
    ISSN 0165-0270
    DOI 10.1016/j.jneumeth.2021.109371
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1486: Show issues Location:
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  8. Article ; Online: A curated binary pattern multitarget dataset of focused ATP-binding cassette transporter inhibitors.

    Stefan, Sven Marcel / Jansson, Patric Jan / Pahnke, Jens / Namasivayam, Vigneshwaran

    Scientific data

    2022  Volume 9, Issue 1, Page(s) 446

    Abstract: Multitarget datasets that correlate bioactivity landscapes of small-molecules toward different related or unrelated pharmacological targets are crucial for novel drug design and discovery. ATP-binding cassette (ABC) transporters are critical membrane- ... ...

    Abstract Multitarget datasets that correlate bioactivity landscapes of small-molecules toward different related or unrelated pharmacological targets are crucial for novel drug design and discovery. ATP-binding cassette (ABC) transporters are critical membrane-bound transport proteins that impact drug and metabolite distribution in human disease as well as disease diagnosis and therapy. Molecular-structural patterns are of the highest importance for the drug discovery process as demonstrated by the novel drug discovery tool 'computer-aided pattern analysis' ('C@PA'). Here, we report a multitarget dataset of 1,167 ABC transporter inhibitors analyzed for 604 molecular substructures in a statistical binary pattern distribution scheme. This binary pattern multitarget dataset (ABC_BPMDS) can be utilized for various areas. These areas include the intended design of (i) polypharmacological agents, (ii) highly potent and selective ABC transporter-targeting agents, but also (iii) agents that avoid clearance by the focused ABC transporters [e.g., at the blood-brain barrier (BBB)]. The information provided will not only facilitate novel drug prediction and discovery of ABC transporter-targeting agents, but also drug design in general in terms of pharmacokinetics and pharmacodynamics.
    MeSH term(s) ATP-Binding Cassette Transporters/antagonists & inhibitors ; Drug Design ; Drug Discovery ; Humans ; Pharmaceutical Preparations
    Chemical Substances ATP-Binding Cassette Transporters ; Pharmaceutical Preparations
    Language English
    Publishing date 2022-07-26
    Publishing country England
    Document type Dataset ; Journal Article
    ZDB-ID 2775191-0
    ISSN 2052-4463 ; 2052-4463
    ISSN (online) 2052-4463
    ISSN 2052-4463
    DOI 10.1038/s41597-022-01506-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Dimethyl fumarate does not mitigate cognitive decline and β-amyloidosis in female APPPS1 mice.

    Möhle, Luisa / Brackhan, Mirjam / Bascuñana, Pablo / Pahnke, Jens

    Brain research

    2021  Volume 1768, Page(s) 147579

    Abstract: Introduction: Alzheimer's disease (AD) is the leading cause of dementia and a major global health issue. Currently, only limited treatment options are available to patients. One possibility to expand the treatment repertoire is repurposing of existing ... ...

    Abstract Introduction: Alzheimer's disease (AD) is the leading cause of dementia and a major global health issue. Currently, only limited treatment options are available to patients. One possibility to expand the treatment repertoire is repurposing of existing drugs such as dimethyl fumarate (DMF). DMF is approved for treatment of multiple sclerosis and previous animal studies have suggested that DMF may also have a beneficial effect for the treatment of AD.
    Methods: We used an APPPS1 transgenic model of senile β-amyloidosis and treated female mice orally with DMF in two treatment paradigms (pre and post onset). We quantified learning and memory parameters, β-amyloidosis, and neuroinflammation to determine the potential of DMF as AD therapeutics.
    Results: Treatment with DMF had no influence on water maze performance, β-amyloid accumulation, plaque formation, microglia activation, and recruitment of immune cells to the brain. Compared to vehicle-treated animals, oral DMF treatment could not halt or retard disease progression in the mice.
    Discussion: Our results do not favour the use of DMF as treatment for AD. While our results stand in contrast to previous findings in other models, they emphasize the importance of animal model selection and suggest further studies to elucidate the mechanisms leading to conflicting results.
    MeSH term(s) Alzheimer Disease/physiopathology ; Amyloid beta-Peptides/metabolism ; Amyloid beta-Protein Precursor/metabolism ; Amyloidosis/drug therapy ; Amyloidosis/physiopathology ; Animals ; Brain/metabolism ; Cognitive Dysfunction/drug therapy ; Cognitive Dysfunction/physiopathology ; Dimethyl Fumarate/metabolism ; Dimethyl Fumarate/pharmacology ; Disease Models, Animal ; Female ; Hippocampus/metabolism ; Humans ; Inflammation/drug therapy ; Mice ; Mice, Transgenic ; Neuroinflammatory Diseases/drug therapy ; Peptide Fragments/metabolism
    Chemical Substances APPsalpha protein, mouse ; Amyloid beta-Peptides ; Amyloid beta-Protein Precursor ; Peptide Fragments ; Dimethyl Fumarate (FO2303MNI2)
    Language English
    Publishing date 2021-07-04
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1200-2
    ISSN 1872-6240 ; 0006-8993
    ISSN (online) 1872-6240
    ISSN 0006-8993
    DOI 10.1016/j.brainres.2021.147579
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 161: Show issues Location:
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  10. Article ; Online: A curated binary pattern multitarget dataset of focused ATP-binding cassette transporter inhibitors

    Sven Marcel Stefan / Patric Jan Jansson / Jens Pahnke / Vigneshwaran Namasivayam

    Scientific Data, Vol 9, Iss 1, Pp 1-

    2022  Volume 14

    Abstract: Measurement(s) Influx • Efflux • Tracer • Transport velocity Technology Type(s) Fluorometry • Radioactivity • Plate reader • Flow cytometer • Tracer distribution Factor Type(s) half-maximal inhibition concentration Sample Characteristic - Organism Homo ... ...

    Abstract Measurement(s) Influx • Efflux • Tracer • Transport velocity Technology Type(s) Fluorometry • Radioactivity • Plate reader • Flow cytometer • Tracer distribution Factor Type(s) half-maximal inhibition concentration Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment cell culture Sample Characteristic - Location Kingdom of Norway • Germany • Australia • Latvia
    Keywords Science ; Q
    Language English
    Publishing date 2022-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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