001     300695
005     20250429112909.0
024 7 _ |a 10.1111/cts.70226
|2 doi
024 7 _ |a pmid:40286321
|2 pmid
024 7 _ |a pmc:PMC12033007
|2 pmc
024 7 _ |a 1752-8054
|2 ISSN
024 7 _ |a 1752-8062
|2 ISSN
037 _ _ |a DKFZ-2025-00875
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Sundheimer, Julia K
|0 0009-0005-9296-8098
|b 0
|e First author
245 _ _ |a Experimental Insights and Recommendations for Successfully Performing Cerebral Microdialysis With Hydrophobic Drug Candidates.
260 _ _ |a Oxford
|c 2025
|b Wiley-Blackwell
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1745833817_1075
|2 PUB:(DE-HGF)
|x Review Article
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #EA:B062#LA:B062#
520 _ _ |a Cerebral microdialysis in rodents represents a robust and versatile technique for quantifying the pharmacologically relevant unbound fraction of drugs in the brain. When this unbound fraction is simultaneously determined in plasma, it facilitates the calculation of the corresponding unbound plasma-to-brain partition coefficient (Kp,uu) for a given compound in vivo. This coefficient is critical for understanding the penetration and distribution of drugs across the blood-brain barrier (BBB). However, obtaining valid and accurate microdialysis data can be particularly challenging for hydrophobic drugs due to their pronounced non-specific interactions with the components of the microdialysis system. The present study reports the outcomes of comprehensive microdialysis investigations in rodents, focusing on three hydrophobic compounds: actinomycin D, selinexor, and ulixertinib. These compounds exhibited varying degrees of non-specific binding to the surfaces of the microdialysis apparatus, leading to low recovery rates and substantial carry-over effects. To diminish these limitations, strategies such as surface coating and the use of optimized materials were employed to enhance the reliability of the microdialysis system. To ensure the robustness and reproducibility of microdialysis-related research outcomes, our experimental findings were supplemented with a narrative literature review. This review encompassed keyword-driven PubMed-indexed publications on microdialysis from 1970 to 2024, providing a broader context for the challenges and solutions associated with the technique. By integrating empirical results with practical recommendations, this study offers a comprehensive resource aimed at advancing the application of cerebral microdialysis in preclinical drug development, particularly for compounds with challenging physicochemical properties.
536 _ _ |a 312 - Funktionelle und strukturelle Genomforschung (POF4-312)
|0 G:(DE-HGF)POF4-312
|c POF4-312
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a central nervous system
|2 Other
650 _ 7 |a cerebral microdialysis
|2 Other
650 _ 7 |a chemical drug properties
|2 Other
650 _ 7 |a non‐specific binding
|2 Other
650 _ 7 |a probe implantation
|2 Other
650 _ 2 |a Microdialysis: methods
|2 MeSH
650 _ 2 |a Microdialysis: instrumentation
|2 MeSH
650 _ 2 |a Animals
|2 MeSH
650 _ 2 |a Blood-Brain Barrier: metabolism
|2 MeSH
650 _ 2 |a Hydrophobic and Hydrophilic Interactions
|2 MeSH
650 _ 2 |a Brain: metabolism
|2 MeSH
650 _ 2 |a Reproducibility of Results
|2 MeSH
650 _ 2 |a Rats
|2 MeSH
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Mice
|2 MeSH
700 1 _ |a Benzel, Julia
|0 P:(DE-He78)2b12a7cfc604eb9816670e995f7af508
|b 1
|e First author
700 1 _ |a Longuespée, Rémi
|0 P:(DE-He78)69f4086396e9a4830b9bdb751b68f2a6
|b 2
|u dkfz
700 1 _ |a Burhenne, Jürgen
|0 0000-0002-2190-1698
|b 3
700 1 _ |a Pfister, Stefan
|0 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
|b 4
|u dkfz
700 1 _ |a Maass, Kendra
|0 P:(DE-He78)5100059e746b377e2e0a37c0e24f6bf7
|b 5
|u dkfz
700 1 _ |a Sauter, Max
|b 6
700 1 _ |a Pajtler, Kristian
|0 P:(DE-He78)a7c1bbac024fa232d9c6b78443328d9d
|b 7
|e Last author
|u dkfz
773 _ _ |a 10.1111/cts.70226
|g Vol. 18, no. 5, p. e70226
|0 PERI:(DE-600)2433157-0
|n 5
|p e70226
|t Clinical and translational science
|v 18
|y 2025
|x 1752-8054
909 C O |o oai:inrepo02.dkfz.de:300695
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 0009-0005-9296-8098
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)2b12a7cfc604eb9816670e995f7af508
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)69f4086396e9a4830b9bdb751b68f2a6
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 5
|6 P:(DE-He78)5100059e746b377e2e0a37c0e24f6bf7
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)a7c1bbac024fa232d9c6b78443328d9d
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-312
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Funktionelle und strukturelle Genomforschung
|x 0
914 1 _ |y 2025
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2024-12-27
|w ger
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b CTS-CLIN TRANSL SCI : 2022
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-08-08T17:07:34Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-08-08T17:07:34Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2024-08-08T17:07:34Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-27
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-27
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-27
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-27
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-27
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-27
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-27
920 2 _ |0 I:(DE-He78)B062-20160331
|k B062
|l B062 Pädiatrische Neuroonkologie
|x 0
920 1 _ |0 I:(DE-He78)B062-20160331
|k B062
|l B062 Pädiatrische Neuroonkologie
|x 0
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 1
920 1 _ |0 I:(DE-He78)B350-20160331
|k B350
|l Metabolischer Crosstalk bei Krebserkrankungen
|x 2
920 0 _ |0 I:(DE-He78)B062-20160331
|k B062
|l B062 Pädiatrische Neuroonkologie
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)B062-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a I:(DE-He78)B350-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21