Evidence map›Paper›PMID 36829463›Full record

ArticleBiology2023

Using SXRF and LA-ICP-TOFMS to Explore Evidence of Treatment and Physiological Responses to Leprosy in Medieval Denmark.

Anastasia Brozou, Marcello A Mannino, Stijn J M Van Malderen, Jan Garrevoet, Eric Pubert, Benjamin T Fuller, M Christopher Dean, Thomas Colard, Frédéric Santos, Niels Lynnerup and 5 more

Open access · goldAbstract read
In one paragraph

Article in Biology, 2023. 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
9.6field-weighted citation impact, top 3% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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

15 authors at 9 institutions in 7 countries.

Anastasia BrozouDepartment of Archaeology and Heritage Studies, Aarhus University, Moesgård Allé 20, 8270 Højbjerg, Denmark.ORCID 0000-0002-2106-1107
Marcello A ManninoDepartment of Archaeology and Heritage Studies, Aarhus University, Moesgård Allé 20, 8270 Højbjerg, Denmark.
Stijn J M Van MalderenDeutsches Elektronen-Synchrotron DESY, Notkestraße 85, D-22607 Hamburg, Germany.ORCID 0000-0002-3879-7882
Jan GarrevoetDeutsches Elektronen-Synchrotron DESY, Notkestraße 85, D-22607 Hamburg, Germany.
Eric PubertUniv. Bordeaux, CNRS, MCC, PACEA, UMR 5199, F-33600 Pessac, France.ORCID 0000-0001-7402-8637
Benjamin T FullerDepartment of Archaeology and Heritage Studies, Aarhus University, Moesgård Allé 20, 8270 Højbjerg, Denmark.
M Christopher DeanDepartment of Earth Sciences, Centre for Human Evolution Research, Natural History Museum, Cromwell Road, London SW7 5BD, UK.ORCID 0000-0003-3783-7296
Thomas ColardUniv. Bordeaux, CNRS, MCC, PACEA, UMR 5199, F-33600 Pessac, France.
Frédéric SantosUniv. Bordeaux, CNRS, MCC, PACEA, UMR 5199, F-33600 Pessac, France.ORCID 0000-0003-1445-3871
Niels LynnerupDepartment of Forensic Medicine, University of Copenhagen, Frederik V's Vej 11, 2100 Copenhagen, Denmark.
Jesper L BoldsenDepartment of Forensic Medicine, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark.
Marie Louise JørkovDepartment of Forensic Medicine, University of Copenhagen, Frederik V's Vej 11, 2100 Copenhagen, Denmark.ORCID 0000-0002-5283-4328
Andrei Dorian Soficaru'Francisc I. Rainer' Institute of Anthropology, Romanian Academy, 050474 Bucharest, Romania.
Laszlo VinczeDepartment of Chemistry, X-ray Microspectroscopy and Imaging Research Group (XMI), Ghent University, Krijgslaan 281 S12, 9000 Ghent, Belgium.ORCID 0000-0002-1184-9822
Adeline Le CabecUniv. Bordeaux, CNRS, MCC, PACEA, UMR 5199, F-33600 Pessac, France.ORCID 0000-0001-6948-4726
Centre National de la Recherche Scientifique · FRDeutsches Elektronen-Synchrotron DESY · DEUniversity of Copenhagen · DKAarhus University · DKAcademia Oamenilor de Știință din România · ROGhent University · BENatural History Museum · GBUniversity of Rome Tor Vergata · ITUniversity of Southern Denmark · DK

Funding

Aarhus Universitets Forskningsfond AUFF-E-2015-FLS-8-2Deutsches Elektronen-Synchrotron Proposal I-20190203Université de Bordeaux GPR "Human Past"
6 · The paper itself

Abstract

Leprosy can lead to blood depletion in Zn, Ca, Mg, and Fe and blood enrichment in Cu. In late medieval Europe, minerals were used to treat leprosy. Here, physiological responses to leprosy and possible evidence of treatment are investigated in enamel, dentine, and cementum of leprosy sufferers from medieval Denmark (n = 12) and early 20th century Romania (n = 2). Using SXRF and LA-ICP-TOFMS, 12 elements were mapped in 15 tooth thin sections, and the statistical covariation of paired elements was computed to assess their biological relevance. The results show marked covariations in the Zn, Ca, and Mg distributions, which are compatible with clinical studies but cannot be directly attributed to leprosy. Minerals used historically as a treatment for leprosy show no detectable intake (As, Hg) or a diffuse distribution (Pb) related to daily ingestion. Intense Pb enrichments indicate acute incorporations of Pb, potentially through the administration of Pb-enriched medication or the mobilization of Pb from bone stores to the bloodstream during intense physiological stress related to leprosy. However, comparisons with a healthy control group are needed to ascertain these interpretations. The positive correlations and the patterns observed between Pb and essential elements may indicate underlying pathophysiological conditions, demonstrating the potential of SXRF and LA-ICP-TOFMS for paleopathological investigations.

Indexed as

calciumdental tissuesleadleprosy treatmentmineral imbalanceszinc

Identifiers

PMID36829463
PMCPMC9952905
OpenAlexW4318053982

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.