Evidence map›Paper›PMID 36570653›Full record

ArticleJournal of applied crystallography2022

Small-angle X-ray microdiffraction from fibrils embedded in tissue thin sections.

Prakash Nepal, Abdullah Al Bashit, Lin Yang, Lee Makowski

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Prakash NepalDepartment of Bioengineering, Northeastern University, Boston, MA, USA.
Abdullah Al BashitDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA, USA.
Lin YangNational Synchrotron Light Source II, Brookhaven National Laboratory, Upton, NY, USA.ORCID https://orcid.org/0000-0003-1057-9194
Lee MakowskiDepartment of Bioengineering, Northeastern University, Boston, MA, USA.

Funding

X-ray Scattering Technology CoreP30GM133893 · NIGMS · BROOKHAVEN SCIENCE ASSOC-BROOKHAVEN LAB · PI Sean McSweeney · 2019 to 2026
$38.6M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN E ARNOLD · 2019 to 2026
$36.5M
Fibrillar polymorphs in human brain tissueRF1AG079946 · NIA · NORTHEASTERN UNIVERSITY · PI MAKOWSKI, LEE · 2023 to 2023
$2.1M
Localization of fibrillar polymorphs in human brain tissueR21AG068972 · NIA · NORTHEASTERN UNIVERSITY · PI MAKOWSKI, LEE · 2020 to 2020
$432k
NIA NIH HHS P30 AG062421NIA NIH HHS R21 AG068972NIA NIH HHS RF1 AG079946NIGMS NIH HHS P30 GM133893
6 · The paper itself

Abstract

Small-angle X-ray scattering (SAXS) from fibrils embedded in a fixed, thin section of tissue includes contributions from the fibrils, the polymeric matrix surrounding the fibrils, other constituents of the tissue, and cross-terms due to the spatial correlation between fibrils and neighboring molecules. This complex mixture severely limits the amount of information that can be extracted from scattering studies. However, availability of micro- and nano-beams has made the measurement of scattering from very small volumes possible, which, in some cases, may be dominated by a single fibrillar constituent. In such cases, information about the predominant species may be accessible. Nevertheless, even in these cases, the correlations between the positions of fibrils and other constituents have a significant impact on the observed scattering. Here, strategies are proposed to extract partial information about fibril structure and tissue organization on the basis of SAXS from samples of this type. It is shown that the spatial correlation function of the fibril in the direction perpendicular to the fibril axis can be computed and contains information about the predominant fibril structure and the organization of the surrounding tissue matrix. This has significant advantages over approaches based on techniques developed for X-ray solution scattering. Examples of correlation calculations in different types of samples are given to demonstrate the information that can be obtained from these measurements.

Indexed as

Alzheimer’s diseaseamyloidsSAXSscanning microdiffractionsmall-angle X-ray scattering

Identifiers

PMID36570653
PMCPMC9721334

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.