LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 3930

Search options

  1. Book: High-throughput metabolomics

    D'Alessandro, Angelo

    methods and protocols

    (Methods in molecular biology ; 1978 ; Springer protocols)

    2019  

    Author's details edited by Angelo D'Alessandro
    Series title Methods in molecular biology ; 1978
    Springer protocols
    Collection
    Language English
    Size xv, 459 Seiten, Illustrationen
    Publisher Humana Press
    Publishing place New York, NY
    Publishing country United States
    Document type Book
    HBZ-ID HT020081619
    ISBN 978-1-4939-9235-5 ; 9781493992362 ; 1-4939-9235-X ; 1493992368
    Database Catalogue ZB MED Medicine, Health

    More links

    Kategorien

  2. Article: Red Blood Cell Omics and Machine Learning in Transfusion Medicine: Singularity Is Near.

    D'Alessandro, Angelo

    Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie

    2023  Volume 50, Issue 3, Page(s) 174–183

    Abstract: Background: Blood transfusion is a life-saving intervention for millions of recipients worldwide. Over the last 15 years, the advent of high-throughput, affordable omics technologies - including genomics, proteomics, lipidomics, and metabolomics - has ... ...

    Abstract Background: Blood transfusion is a life-saving intervention for millions of recipients worldwide. Over the last 15 years, the advent of high-throughput, affordable omics technologies - including genomics, proteomics, lipidomics, and metabolomics - has allowed transfusion medicine to revisit the biology of blood donors, stored blood products, and transfusion recipients.
    Summary: Omics approaches have shed light on the genetic and non-genetic factors (environmental or other exposures) impacting the quality of stored blood products and efficacy of transfusion events, based on the current Food and Drug Administration guidelines (e.g., hemolysis and post-transfusion recovery for stored red blood cells). As a treasure trove of data accumulates, the implementation of machine learning approaches promises to revolutionize the field of transfusion medicine, not only by advancing basic science. Indeed, computational strategies have already been used to perform high-content screenings of red blood cell morphology in microfluidic devices, generate in silico models of erythrocyte membrane to predict deformability and bending rigidity, or design systems biology maps of the red blood cell metabolome to drive the development of novel storage additives.
    Key message: In the near future, high-throughput testing of donor genomes via precision transfusion medicine arrays and metabolomics of all donated products will be able to inform the development and implementation of machine learning strategies that match, from vein to vein, donors, optimal processing strategies (additives, shelf life), and recipients, realizing the promise of personalized transfusion medicine.
    Language English
    Publishing date 2023-03-08
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2100848-6
    ISSN 1660-3818 ; 1660-3796
    ISSN (online) 1660-3818
    ISSN 1660-3796
    DOI 10.1159/000529744
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Editorial: Rising stars in red blood cell physiology: 2022.

    D'Alessandro, Angelo

    Frontiers in physiology

    2022  Volume 13, Page(s) 1020144

    Language English
    Publishing date 2022-09-09
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2022.1020144
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  4. Article: Omics and Machine Learning in Transfusion Medicine.

    D'Alessandro, Angelo / Bugert, Peter

    Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie

    2023  Volume 50, Issue 3, Page(s) 161–162

    Language English
    Publishing date 2023-05-25
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2100848-6
    ISSN 1660-3818 ; 1660-3796
    ISSN (online) 1660-3818
    ISSN 1660-3796
    DOI 10.1159/000530978
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: In vivo clearance of stored red blood cells.

    D'Alessandro, Angelo

    Blood

    2021  Volume 137, Issue 17, Page(s) 2275–2276

    MeSH term(s) Blood Preservation ; Erythrocyte Count ; Erythrocytes
    Language English
    Publishing date 2021-04-28
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 80069-7
    ISSN 1528-0020 ; 0006-4971
    ISSN (online) 1528-0020
    ISSN 0006-4971
    DOI 10.1182/blood.2021010946
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article ; Online: Developmental Windows for Effects of Choline and Folate on Excitatory and Inhibitory Neurotransmission During Human Gestation.

    Hunter, Sharon K / Hoffman, M Camille / D'Alessandro, Angelo / Freedman, Robert

    Developmental psychobiology

    2024  Volume 66, Issue 2

    Abstract: Choline and folate are critical nutrients for fetal brain development, but the timing of their influence during gestation has not been previously characterized. At different periods during gestation, choline stimulation of α7-nicotinic receptors ... ...

    Abstract Choline and folate are critical nutrients for fetal brain development, but the timing of their influence during gestation has not been previously characterized. At different periods during gestation, choline stimulation of α7-nicotinic receptors facilitates conversion of γ-aminobutyric acid (GABA) receptors from excitatory to inhibitory and recruitment of GluR1-R2 receptors for faster excitatory responses to glutamate. The outcome of the fetal development of inhibition and excitation was assessed in 159 newborns by P50 cerebral auditory-evoked responses. Paired stimuli, S1, S2, were presented 500 msec apart. Higher P50 amplitude in response to S1 (P50
    MeSH term(s) Humans ; Choline/pharmacology ; Choline/metabolism ; Female ; Folic Acid/pharmacology ; Male ; Infant, Newborn ; Pregnancy ; Evoked Potentials, Auditory/physiology ; Evoked Potentials, Auditory/drug effects ; Child, Preschool ; Fetal Development/physiology ; Fetal Development/drug effects ; Synaptic Transmission/physiology ; Synaptic Transmission/drug effects ; Adult ; Gestational Age ; Child Development/physiology ; Child Development/drug effects
    Chemical Substances Choline (N91BDP6H0X) ; Folic Acid (935E97BOY8)
    Language English
    Publishing date 2024-01-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 4107-5
    ISSN 1098-2302 ; 0012-1630
    ISSN (online) 1098-2302
    ISSN 0012-1630
    DOI 10.1002/dev.22453
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Editorial: Erythrocytes as a target of oxidative stress in blood.

    Remigante, Alessia / Straface, Elisabetta / D'Alessandro, Angelo / Morabito, Rossana

    Frontiers in physiology

    2023  Volume 14, Page(s) 1310053

    Language English
    Publishing date 2023-11-07
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2564217-0
    ISSN 1664-042X
    ISSN 1664-042X
    DOI 10.3389/fphys.2023.1310053
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Red Blood Cell Storage: From Genome to Exposome Towards Personalized Transfusion Medicine.

    D'Alessandro, Angelo / Hod, Eldad A

    Transfusion medicine reviews

    2023  Volume 37, Issue 4, Page(s) 150750

    Abstract: Over the last decade, the introduction of omics technologies-especially high-throughput genomics and metabolomics-has contributed significantly to our understanding of the role of donor genetics and nongenetic determinants of red blood cell storage ... ...

    Abstract Over the last decade, the introduction of omics technologies-especially high-throughput genomics and metabolomics-has contributed significantly to our understanding of the role of donor genetics and nongenetic determinants of red blood cell storage biology. Here we briefly review the main advances in these areas, to the extent these contributed to the appreciation of the impact of donor sex, age, ethnicity, but also processing strategies and donor environmental, dietary or other exposures - the so-called exposome-to the onset and severity of the storage lesion. We review recent advances on the role of genetically encoded polymorphisms on red cell storage biology, and relate these findings with parameters of storage quality and post-transfusion efficacy, such as hemolysis, post-transfusion intra- and extravascular hemolysis and hemoglobin increments. Finally, we suggest that the combination of these novel technologies have the potential to drive further developments towards personalized (or precision) transfusion medicine approaches.
    MeSH term(s) Humans ; Blood Preservation ; Transfusion Medicine ; Exposome ; Erythrocyte Transfusion ; Erythrocytes ; Hemolysis
    Language English
    Publishing date 2023-08-02
    Publishing country United States
    Document type Review ; Journal Article
    ZDB-ID 639107-2
    ISSN 1532-9496 ; 0887-7963
    ISSN (online) 1532-9496
    ISSN 0887-7963
    DOI 10.1016/j.tmrv.2023.150750
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: The role of PIMT in Alzheimer's disease pathogenesis: A novel hypothesis.

    D'Alessandro, Angelo / Lukens, John R / Zimring, James C

    Alzheimer's & dementia : the journal of the Alzheimer's Association

    2023  Volume 19, Issue 11, Page(s) 5296–5302

    Abstract: There are multiple theories of Alzheimer's disease pathogenesis. One major theory is that oxidation of amyloid beta (Aβ) promotes plaque deposition that directly contributes to pathology. A competing theory is that hypomethylation of DNA (due to altered ... ...

    Abstract There are multiple theories of Alzheimer's disease pathogenesis. One major theory is that oxidation of amyloid beta (Aβ) promotes plaque deposition that directly contributes to pathology. A competing theory is that hypomethylation of DNA (due to altered one carbon metabolism) results in pathology through altered gene regulation. Herein, we propose a novel hypothesis involving L-isoaspartyl methyltransferase (PIMT) that unifies the Aβ and DNA hypomethylation hypotheses into a single model. Importantly, the proposed model allows bidirectional regulation of Aβ oxidation and DNA hypomethylation. The proposed hypothesis does not exclude simultaneous contributions by other mechanisms (e.g., neurofibrillary tangles). The new hypothesis is formulated to encompass oxidative stress, fibrillation, DNA hypomethylation, and metabolic perturbations in one carbon metabolism (i.e., methionine and folate cycles). In addition, deductive predictions of the hypothesis are presented both to guide empirical testing of the hypothesis and to provide candidate strategies for therapeutic intervention and/or nutritional modification. HIGHLIGHTS: PIMT repairs L-isoaspartyl groups on amyloid beta and decreases fibrillation. SAM is a common methyl donor for PIMT and DNA methyltransferases. Increased PIMT activity competes with DNA methylation and vice versa. The PIMT hypothesis bridges a gap between plaque and DNA methylation hypotheses.
    MeSH term(s) Humans ; Alzheimer Disease/metabolism ; Amyloid beta-Peptides/metabolism ; Protein D-Aspartate-L-Isoaspartate Methyltransferase/genetics ; Protein D-Aspartate-L-Isoaspartate Methyltransferase/metabolism ; DNA ; Carbon
    Chemical Substances Amyloid beta-Peptides ; Protein D-Aspartate-L-Isoaspartate Methyltransferase (EC 2.1.1.77) ; DNA (9007-49-2) ; Carbon (7440-44-0)
    Language English
    Publishing date 2023-05-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2211627-8
    ISSN 1552-5279 ; 1552-5260
    ISSN (online) 1552-5279
    ISSN 1552-5260
    DOI 10.1002/alz.13115
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article: Benford's law and metabolomics: A tale of numbers and blood.

    D'Alessandro, Angelo

    Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis

    2020  Volume 59, Issue 6, Page(s) 103019

    Abstract: The Newcomb-Benford law - also known as the "law of anomalous numbers" or, more commonly, Benford's law - predicts that the distribution of the first significant digit of random numbers obtained from mixed probability distributions follows a predictable ... ...

    Abstract The Newcomb-Benford law - also known as the "law of anomalous numbers" or, more commonly, Benford's law - predicts that the distribution of the first significant digit of random numbers obtained from mixed probability distributions follows a predictable pattern and reveals some universal behavior. Specifically, given a dataset of empirical measures, the likelihood of the first digit of any number being 1 is ∼30 %, ∼18 % for 2, 12.5 % for 3 and so on, with a decreasing probability all the way to number 9. If the digits were distributed uniformly, all the numbers 1 through 9 would have the same probability to appear as the first digit in any given empirical random measurement. However, this is not the case, as this law defies common sense and seems to apply seamlessly to large data. The use of omics technologies and, in particular, metabolomics has generated a wealth of big data in the field of transfusion medicine. In the present meta-analysis, we focused on previous big data from metabolomics studies of relevance to transfusion medicine: one on the quality of stored red blood cells, one on the phenotypes of transfusion recipients, i.e. trauma patients suffering from trauma and hemorrhage, and one of relevance to the 2020 SARS-COV-2 global pandemic. We show that metabolomics data follow a Benford's law distribution, an observation that could be relevant for future application of the "law of anomalous numbers" in the field of quality control processes in transfusion medicine.
    MeSH term(s) COVID-19/blood ; COVID-19/epidemiology ; Humans ; Metabolomics ; Pandemics ; SARS-CoV-2/metabolism
    Language English
    Publishing date 2020-11-21
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2046795-3
    ISSN 1878-1683 ; 1473-0502
    ISSN (online) 1878-1683
    ISSN 1473-0502
    DOI 10.1016/j.transci.2020.103019
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top