Evidence map›Paper›PMID 40658068›Full record

ArticleAmerican journal of human biology : the official journal of the Human Biology Council2025

Revealing Developmental Transitions in Perinatal and Infant Individuals Through Microanatomical Analysis.

María Molina Moreno, Danielle M Doe, Nieves Candelas González, Daniel García Martínez, Armando González Martín, Oscar Cambra-Moo

Abstract read
In one paragraph

Article in American journal of human biology : the official journal of the Human Biology Council, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Revealing Developmental Transitions in Perinatal and Infant Individuals Through Microanatomical Analysis.American journal of human biology : the official journal of the Human Biology Council · 2025
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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.

María Molina MorenoGrup de Recerca en Antropología Biològica (GREAB), Departament de Biología Animal, Biología Vegetal i D'ecología, Universitat Autònoma de Barcelona, Barcelona, Spain.ORCID 0000-0001-9914-2567
Danielle M DoeLaboratorio de Poblaciones del Pasado (LAPP), Departamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.ORCID 0000-0002-2702-0533
Nieves Candelas GonzálezLaboratorio de Poblaciones del Pasado (LAPP), Departamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.ORCID 0000-0001-9978-5407
Daniel García MartínezComplutense University of Madrid Faculty of Biological Sciences, Department of Biodiversity, Ecology, and Evolution, Madrid, Spain.
Armando González MartínLaboratorio de Poblaciones del Pasado (LAPP), Departamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
Oscar Cambra-MooLaboratorio de Poblaciones del Pasado (LAPP), Departamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.

Funding

Comunidad de Madrid SI4/PJI/2024-00104FPI-UAM 2017 predoctoral fundingMinisterio de Ciencia, Innovación y Universidades and Next Generation UE JDC2022-049244-IMinisterio de Universidades, Plan de Recuperación, Transformación y Resiliencia UAM CA4/RSUE/2022-00292Spanish Government HAR2016-74846-PSpanish Government HAR2016-78036-PSpanish Government HAR2017-82755-PSpanish Government HAR2017-83004-PSpanish Government PGC2018-099405-B-100The Leakey Foundation 38360
6 · The paper itself

Abstract

objectivesIdentifying signs of birth in perinatal human remains of past populations is challenging due to the lack of direct markers of this event on bones. This research aims to identify distinct events in humeral cross-sections microanatomy related to perinatal development and to integrate the findings into infant mortality trends. MATERIAL AND

methodsThe sample consists of infants (N = 106) ranging from prenatal to 1.5 years, with microanatomical analysis of nine selected individuals. Age-at-death estimation and microanatomical characterization were conducted, combined with quantitative analysis of microanatomical features.

resultsBiological age-at-death presents high variability and overlap across prenatal to postnatal stages. Microanatomical analysis reveals a higher percentage of mineralized areas (60%-80%) within the total cross-sectional area in the youngest individuals up to the first neonatal month.

conclusionsBased on the integration of microanatomical analysis in an extensive infant sample, this study highlights the evidence of developmental transitions from prenatal to neonatal stages. These findings suggest that, unlike biological age estimation methods, the full-term period can be identified microanatomically in bone. This provides a valuable approach for analyzing fragmented skeletal remains, secondary deposits, and other funerary or osteological contexts, opening new pathways to understand gestational development and postnatal survival in past populations.

Indexed as

Age Determination by SkeletonBody RemainsHumerusFemaleHumansInfantInfant, NewbornMalebirthbone histologyfull‐termmicroanatomyprenatal

Identifiers

PMID40658068
PMCPMC12258382

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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.