Protocol for Biospecimen Collection and Analysis Within the BACPAC Research Program Article Swipe
Aaron J. Fields
,
Stefan Dudli
,
Andrew Schrepf
,
Angie Kim
,
Bernice Pham
,
Estefanía Gallego
,
Sandra Mendoza
,
Sharon B. Meropol
,
Jessa Darwin
,
Gwendolyn Sowa
,
Nam V. Vo
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/pm/pnac197
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/pm/pnac197
The Biospecimen Collection and Processing Working Group of the National Institutes of Health (NIH) HEAL Initiative BACPAC Research Program was charged with identifying molecular biomarkers of interest to chronic low back pain (cLBP). Having identified biomarkers of interest, the Working Group worked with the New York University Grossman School of Medicine, Center for Biospecimen Research and Development—funded by the Early Phase Pain Investigation Clinical Network Data Coordinating Center—to harmonize consortium-wide and site-specific efforts for biospecimen collection and analysis. Biospecimen collected are saliva, blood (whole, plasma, serum), urine, stool, and spine tissue (paraspinal muscle, ligamentum flavum, vertebral bone, facet cartilage, disc endplate, annulus fibrosus, or nucleus pulposus). The omics data acquisition and analyses derived from the biospecimen include genomics and epigenetics from DNA, proteomics from protein, transcriptomics from RNA, and microbiomics from 16S rRNA. These analyses contribute to the overarching goal of BACPAC to phenotype cLBP and will guide future efforts for precision medicine treatment.
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Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1093/pm/pnac197
- https://academic.oup.com/painmedicine/advance-article-pdf/doi/10.1093/pm/pnac197/48000806/pnac197.pdf
- OA Status
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- Cited By
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4311675072Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/pm/pnac197Digital Object Identifier
- Title
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Protocol for Biospecimen Collection and Analysis Within the BACPAC Research ProgramWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-12-15Full publication date if available
- Authors
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Aaron J. Fields, Stefan Dudli, Andrew Schrepf, Angie Kim, Bernice Pham, Estefanía Gallego, Sandra Mendoza, Sharon B. Meropol, Jessa Darwin, Gwendolyn Sowa, Nam V. VoList of authors in order
- Landing page
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https://doi.org/10.1093/pm/pnac197Publisher landing page
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https://academic.oup.com/painmedicine/advance-article-pdf/doi/10.1093/pm/pnac197/48000806/pnac197.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://academic.oup.com/painmedicine/advance-article-pdf/doi/10.1093/pm/pnac197/48000806/pnac197.pdfDirect OA link when available
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Medicine, Bioinformatics, Epigenetics, Pathology, Biology, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
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2025: 2, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
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108Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Biospecimen | 2, 54, 79 |
| abstract_inverted_index.Center—to | 68 |
| abstract_inverted_index.acquisition | 110 |
| abstract_inverted_index.biospecimen | 75, 116 |
| abstract_inverted_index.epigenetics | 120 |
| abstract_inverted_index.identifying | 23 |
| abstract_inverted_index.overarching | 139 |
| abstract_inverted_index.Coordinating | 67 |
| abstract_inverted_index.microbiomics | 130 |
| abstract_inverted_index.Investigation | 63 |
| abstract_inverted_index.site-specific | 72 |
| abstract_inverted_index.consortium-wide | 70 |
| abstract_inverted_index.transcriptomics | 126 |
| abstract_inverted_index.Development—funded | 57 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5103417050 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 11 |
| corresponding_institution_ids | https://openalex.org/I170201317 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/17 |
| sustainable_development_goals[0].score | 0.6399999856948853 |
| sustainable_development_goals[0].display_name | Partnerships for the goals |
| citation_normalized_percentile.value | 0.72126138 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |