Evidence map›Paper›PMID 29049333›Full record

ArticlePloS one2017

Synchrotron imaging and Markov Chain Monte Carlo reveal tooth mineralization patterns.

Daniel R Green, Gregory M Green, Albert S Colman, Felicitas B Bidlack, Paul Tafforeau, Tanya M Smith

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.5field-weighted citation impact, top 7% of its field
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

16 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Role of amelogenin phosphorylation in regulating dental enamel formation.Matrix biology : journal of the International Society for Matrix Biology · 2024
    Article
  6. Article
  7. Article
  8. A chimpanzee enamel-diet δJournal of human evolution · 2021
    Article
  9. Subarctic climate for the earliestScience advances · 2021
    Article
  10. Article
  11. Article
  12. The hidden structure of human enamel.Nature communications · 2019
    Article
  13. Article
  14. Article
  15. Article
  16. Determinants of blood waterChemical geology · 2018
    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

6 authors at 5 institutions in 3 countries.

Daniel R GreenDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID http://orcid.org/0000-0002-9817-541X
Gregory M GreenPhysics Department, Stanford University, Palo Alto, California, United States of America.
Albert S ColmanDepartment of the Geophysical Sciences, University of Chicago, Chicago, Illinois, United States of America.
Felicitas B BidlackForsyth Institute, Cambridge, Massachusetts, United States of America.
Paul TafforeauEuropean Synchrotron Radiation Facility, Grenoble, France.
Tanya M SmithDepartment of Human Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
European Synchrotron Radiation Facility · FRGriffith University · AUHarvard University · USPalo Alto University · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The progressive character of tooth formation records aspects of mammalian life history, diet, seasonal behavior and climate. Tooth mineralization occurs in two stages: secretion and maturation, which overlap to some degree. Despite decades of study, the spatial and temporal pattern of elemental incorporation during enamel mineralization remains poorly characterized. Here we use synchrotron X-ray microtomography and Markov Chain Monte Carlo sampling to estimate mineralization patterns from an ontogenetic series of sheep molars (n = 45 M1s, 18 M2s). We adopt a Bayesian approach that posits a general pattern of maturation estimated from individual- and population-level mineral density variation over time. This approach converts static images of mineral density into a dynamic model of mineralization, and demonstrates that enamel secretion and maturation waves advance at nonlinear rates with distinct geometries. While enamel secretion is ordered, maturation geometry varies within a population and appears to be driven by diffusive processes. Our model yields concrete expectations for the integration of physiological and environmental signals, which is of particular significance for paleoseasonality research. This study also provides an avenue for characterizing mineralization patterns in other taxa. Our synchrotron imaging data and model are available for application to multiple disciplines, including health, material science, and paleontological research.

Indexed as

Markov ChainsMonte Carlo MethodSynchrotronsTooth CalcificationAnimalsModels, BiologicalSheepX-Ray Microtomography

Identifiers

PMID29049333
PMCPMC5648163
OpenAlexW2766933331

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.