cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27263642.v1
title: Drug retention after intradiscal administration

description: Intradiscal drug delivery is a promising strategy for treating intervertebral disk degeneration (IVDD). Local degenerative processes and intrinsically low fluid exchange are likely to influence drug retention. Understanding their connection will enable the optimization of IVDD therapeutics. Release and retention of an inactive hydrophilic fluorine-19 labeled peptide (<sup>19</sup>F-P) as model for regenerative peptides was studied in a whole IVD culture model by measuring the <sup>19</sup>F-NMR (nuclear magnetic resonance) signal in culture media and IVD tissue extracts. In another set-up, noninvasive near-infrared imaging was used to visualize IR-780, as hydrophobic small molecular drug model, retention upon injection into healthy and degenerative caudal IVDs in a rat model of disk degeneration. Furthermore, IR-780-loaded degradable polyester amide microspheres (PEAM) were injected into healthy and needle pricked degenerative IVDs, subcutaneously, and in knee joints with and without surgically-induced osteoarthritis (OA). Most <sup>19</sup>F-P was released from the IVD after 7 days. IR-780 signal intensity declined over a 14-week period after bolus injection, without a difference between healthy and degenerative disks. IR-780 signal declined faster in the skin and knee joints compared to the IVDs. IR-780 delivery by PEAMs enhanced disk retention beyond 16 weeks. Moreover, in degenerated IVDs the IR-780 signal was higher over time than in healthy IVDs while no difference between OA and healthy joints was noted. We conclude that the clearance of peptides and hydrophobic small molecules from the IVD is relatively fast. These results illustrate that development of controlled release formulations should take into account the target anatomical location and local (patho)biology. Tissue degeneration alters molecule retention in tissues with a low fluid clearanceExtrapolating retention between different anatomical locations is not recommendedDrug delivery platforms should be customized to anatomical locationDrug delivery platforms should be customized to existing pathophysiology Tissue degeneration alters molecule retention in tissues with a low fluid clearance Extrapolating retention between different anatomical locations is not recommended Drug delivery platforms should be customized to anatomical location Drug delivery platforms should be customized to existing pathophysiology
DOI: 10.6084/m9.figshare.27301656
title: The recent research progress in the application of the nanozyme-hydrogel composite system for drug delivery

description: Hydrogels, comprising 3D hydrophilic polymer networks, have emerged as promising biomaterial candidates for emulating the structure of biological tissues and delivering drugs through topical administration with good biocompatibility. Nanozymes can catalyze endogenous biomolecules, thereby initiating or inhibiting <i>in vivo</i> biological processes. A nanozyme-hydrogel composite inherits the biological functions of hydrogels and nanozymes, where the nanozyme serves as the catalytic core and the hydrogel forms the structural scaffold. Moreover, the composite can concentrate nanozymes in targeted lesions and catalyze the binding of a specific group of substrates, resulting in pathological microenvironment remodeling and drug-penetrating barrier impairment. The composite also shields nanozymes to prevent burst release during catalytic production and reduce related toxicity. Currently, the application of these composites has been extended to antibacterial, anti-inflammatory, anticancer, and tissue repair applications. In this review, we elucidate the preparation methods for nanozyme-hydrogel composites, provide compelling evidence of their advantages in drug delivery and provide a comprehensive overview of their biological application.
DOI: 10.6084/m9.figshare.27301656.v1
title: The recent research progress in the application of the nanozyme-hydrogel composite system for drug delivery

description: Hydrogels, comprising 3D hydrophilic polymer networks, have emerged as promising biomaterial candidates for emulating the structure of biological tissues and delivering drugs through topical administration with good biocompatibility. Nanozymes can catalyze endogenous biomolecules, thereby initiating or inhibiting <i>in vivo</i> biological processes. A nanozyme-hydrogel composite inherits the biological functions of hydrogels and nanozymes, where the nanozyme serves as the catalytic core and the hydrogel forms the structural scaffold. Moreover, the composite can concentrate nanozymes in targeted lesions and catalyze the binding of a specific group of substrates, resulting in pathological microenvironment remodeling and drug-penetrating barrier impairment. The composite also shields nanozymes to prevent burst release during catalytic production and reduce related toxicity. Currently, the application of these composites has been extended to antibacterial, anti-inflammatory, anticancer, and tissue repair applications. In this review, we elucidate the preparation methods for nanozyme-hydrogel composites, provide compelling evidence of their advantages in drug delivery and provide a comprehensive overview of their biological application.
DOI: 10.6084/m9.figshare.26362123
title: Surface saturation of drug-loaded hollow manganese dioxide nanoparticles with human serum albumin for treating rheumatoid arthritis

description: Rheumatoid arthritis (RA) is a chronic inflammatory joint disease accompanied by energy depletion and accumulation of reactive oxygen species (ROS). Inorganic nanoparticles (NPs) offer great promise for the treatment of RA because they mostly have functions beyond being drug carriers. However, conventional nanomaterials become coated with a protein corona (PC) or lose their cargo prematurely <i>in vivo</i>, reducing their therapeutic efficacy. To avoid these problems, we loaded methotrexate (MTX) into hollow structured manganese dioxide nanoparticles (H-MnO<sub>2</sub> NPs), then coated them with a ‘pseudo-corona’ of human serum albumin (HSA) at physiological concentrations to obtain HSA-MnO<sub>2</sub>@MTX NPs. Efficacy of MTX, MnO<sub>2</sub>@MTX, and HSA-MnO<sub>2</sub>@MTX NPs was compared <i>in vitro</i> and <i>in vivo</i>. Compared to MnO<sub>2</sub>@MTX, HSA-coated NPs were taken up better by lipopolysaccharide-activated RAW264.7 and were more effective at lowering levels of pro-inflammatory cytokines and preventing ROS accumulation. HSA-MnO<sub>2</sub>@MTX NPs were also more efficient at blocking the proliferation and migration of fibroblast-like synoviocytes from rats with collagen-induced arthritis. In this rat model, HSA-MnO<sub>2</sub>@MTX NPs showed better biodistribution than other treatments, specifically targeting the ankle joint. Furthermore, HSA-MnO<sub>2</sub>@MTX NPs reduced swelling in the paw, regulated pro-inflammatory cytokine production, and limited cartilage degradation and signs of inflammation. These results establish the therapeutic potential of HSA-MnO<sub>2</sub>@MTX NPs against RA.
DOI: 10.6084/m9.figshare.26362123.v1
title: Surface saturation of drug-loaded hollow manganese dioxide nanoparticles with human serum albumin for treating rheumatoid arthritis

description: Rheumatoid arthritis (RA) is a chronic inflammatory joint disease accompanied by energy depletion and accumulation of reactive oxygen species (ROS). Inorganic nanoparticles (NPs) offer great promise for the treatment of RA because they mostly have functions beyond being drug carriers. However, conventional nanomaterials become coated with a protein corona (PC) or lose their cargo prematurely <i>in vivo</i>, reducing their therapeutic efficacy. To avoid these problems, we loaded methotrexate (MTX) into hollow structured manganese dioxide nanoparticles (H-MnO<sub>2</sub> NPs), then coated them with a ‘pseudo-corona’ of human serum albumin (HSA) at physiological concentrations to obtain HSA-MnO<sub>2</sub>@MTX NPs. Efficacy of MTX, MnO<sub>2</sub>@MTX, and HSA-MnO<sub>2</sub>@MTX NPs was compared <i>in vitro</i> and <i>in vivo</i>. Compared to MnO<sub>2</sub>@MTX, HSA-coated NPs were taken up better by lipopolysaccharide-activated RAW264.7 and were more effective at lowering levels of pro-inflammatory cytokines and preventing ROS accumulation. HSA-MnO<sub>2</sub>@MTX NPs were also more efficient at blocking the proliferation and migration of fibroblast-like synoviocytes from rats with collagen-induced arthritis. In this rat model, HSA-MnO<sub>2</sub>@MTX NPs showed better biodistribution than other treatments, specifically targeting the ankle joint. Furthermore, HSA-MnO<sub>2</sub>@MTX NPs reduced swelling in the paw, regulated pro-inflammatory cytokine production, and limited cartilage degradation and signs of inflammation. These results establish the therapeutic potential of HSA-MnO<sub>2</sub>@MTX NPs against RA.
DOI: 10.15468/dl.bhkf26
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Spain, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alnus incana (L.) Moench"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002741-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.as2mth
title: Occurrence Download

description: A dataset containing 3035002 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3035002 records from 1161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002714-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0201732.10fu
title: SH0201732.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201733.10fu
title: SH0201733.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201734.10fu
title: SH0201734.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201735.10fu
title: SH0201735.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201736.10fu
title: SH0201736.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.pyn7ba
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((79.687625 18.03866, 79.613756 18.033084, 79.541719 18.016496, 79.47330100000001 17.989305, 79.410195 17.952188, 79.353962 17.906062, 79.305989 17.852071, 79.267453 17.79155, 79.23929800000001 17.725995, 79.222207 17.657024, 79.216589 17.586339, 79.22256899999999 17.515681, 79.239986 17.446789, 79.2684 17.381355, 79.307101 17.320988, 79.355132 17.267167, 79.41130800000001 17.221211, 79.47424700000001 17.184247, 79.542407 17.157179, 79.61411699999999 17.140668, 79.687625 17.13512, 79.761132 17.140668, 79.832843 17.157179, 79.90100200000001 17.184247, 79.96394100000001 17.221211, 80.020117 17.267167, 80.06814799999999 17.320988, 80.10684999999999 17.381355, 80.13526400000001 17.446789, 80.152681 17.515681, 80.15866 17.586339, 80.153042 17.657024, 80.13595100000001 17.725995, 80.10779599999999 17.79155, 80.069261 17.852071, 80.021287 17.906062, 79.96505399999999 17.952188, 79.901949 17.989305, 79.83353 18.016496, 79.761494 18.033084, 79.687625 18.03866))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002168-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0201737.10fu
title: SH0201737.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201738.10fu
title: SH0201738.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201739.10fu
title: SH0201739.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201740.10fu
title: SH0201740.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0201741.10fu
title: SH0201741.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.