Laurent Martrille

Dr. Laurent Martrille

Department of Forensic Medicine, CHU Montpellier, University of Montpellier, Montpellier, France
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Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2019 in Forensic Science International
Verified
Journal Article
Closed access
Laurent MartrilleLaurent Martrille
Laurent Martrille
SSSteven A. Symes
Steven A. Symes

3 March 2022 in Viruses
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Journal Article
Open access
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CHCédric Hartard
Cédric Hartard
ACAhlam Chaqroun
Ahlam Chaqroun
NSNicla Settembre
Nicla Settembre
GGGuillaume GAUCHOTTE
Guillaume GAUCHOTTE
BLBenjamin Lefèvre
Benjamin Lefèvre
Evelyne SchvoererEvelyne Schvoerer
Evelyne Schvoerer
Although the respiratory tract is the main target of SARS-CoV-2, other tissues and organs are permissive to the infection. In this report, we investigated this wide-spectrum tropism by studying the SARS-CoV-2 genetic intra-host variability in multiple tissues. The virological and histological investigation of multiple specimens from a post-mortem COVID-19 patient was performed. SARS-CoV-2 genome was detected in several tissues, including the lower respiratory system, cardio-vascular biopsies, stomach, pancreas, adrenal gland, mediastinal ganglion and testicles. Subgenomic RNA transcripts were also detected, in favor of an active viral replication, especially in testicles. Ultra-deep sequencing allowed us to highlight several SARS-CoV-2 mutations according to tissue distribution. More specifically, mutations of the spike protein, i.e., V341A (18.3%), E654 (44%) and H655R (30.8%), were detected in the inferior vena cava. SARS-CoV-2 variability can contribute to heterogeneous distributions of viral quasispecies, which may affect the COVID-19 pathogeny.

9 March 2023 in Diagnostics
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Journal Article
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Laurent MartrilleLaurent Martrille
Laurent Martrille
SPStavroula Papadodima
Stavroula Papadodima
CVCristina Venegoni
Cristina Venegoni
NMNicolas Molinari
Nicolas Molinari
DGDaniele Maria Gibelli
Daniele Maria Gibelli
CCCristina Cattaneo
Cristina Cattaneo
Age estimation in juveniles is a critical procedure in judicial cases for verification of imputability or for civil reasons when adopting children. Several methods based both on skeletal and dental growth have been performed and applied on different populations; nevertheless, few articles have compared different methods in order to test their reliability in different conditions and age ranges, and this is a clear obstacle in the creation of common guidelines for age estimation in the living. A comparison of five dental methods (Anderson, Ubelaker, Schour and Massler, Gustafson and Koch, Demirjian) and one skeletal method (Greulich a Pyle atlas) was performed on a population of 94 children aged between 0 and 8 years. Results showed that, whereas under 2 years all the methods have the same inaccuracy, over 2 years the diagram methods, such as Schour and Massler and Ubelaker’s revised one, have a lower error range than the most frequently used Greulich and Pyle atlas and Demirjian method. Schour and Massler, Gustafson and Koch, and Ubelaker methods showed, respectively, a mean error amounting to 0.40, 0.53, and 0.56 years versus the 0.74 and 0.88 years given by Demirjian and the Greulich and Pyle atlas. An in-depth analysis of the potential of several methods is necessary in order to reach a higher adherence of age estimation with the complexity of growth dynamics.


3 August 2015 in Journal of Forensic Sciences
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AAAnne‐Sophie Advenier
Anne‐Sophie Advenier
NGNadege Guillard
Nadege Guillard
JAJean Claude Alvarez
Jean Claude Alvarez
Laurent MartrilleLaurent Martrille
Laurent Martrille
GGGeoffroy Lorin de la Grandmaison
Geoffroy Lorin de la Grandmaison

30 May 2025 in Diagnostics
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Journal Article
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KFKallirroi Fragkou
Kallirroi Fragkou
IKIoannis Ketsekioulafis
Ioannis Ketsekioulafis
ATAthina Tousia
Athina Tousia
Maria PiagkouMaria Piagkou
Maria Piagkou
Flora BacopoulouFlora Bacopoulou
Flora Bacopoulou
SPStavroula Papadodima
Stavroula Papadodima
Background: Forensic investigation of child homicides presents unique challenges due to the vulnerability of children and the complexity of distinguishing between natural, accidental, and intentional manner of death. A multidisciplinary approach integrating traditional forensic methods with emerging technologies is crucial to ensure accurate diagnosis and effective legal outcomes. Methods: This review examines current and emerging forensic techniques used in neonate, infant, and older child homicide investigations. It highlights advancements in postmortem imaging, histological examination, microbiological analysis, toxicology, and molecular autopsy. Results: Traditional forensic autopsy remains the cornerstone of child homicide investigations, providing critical insights into external and internal injuries. Histological examination enhances diagnostic accuracy by detecting microscopic evidence of trauma and infectious diseases. Postmortem imaging techniques are complementary for better identifying fractures, soft tissue injuries, and vascular abnormalities. Forensic toxicology plays a key role in detecting poisoning, while postmortem microbiology aids in identifying infectious causes of death. Furthermore, advancements in molecular autopsy and genetic testing have significantly enhanced the identification of hereditary conditions linked to sudden unexplained deaths in children, especially in cases involving multiple child fatalities within the same family, where forensic investigations are needed to accurately differentiate between natural causes and potential criminal involvement. Conclusions: A multidisciplinary approach incorporating traditional autopsy with postmortem imaging, histological examination, toxicology, postmortem microbiology, and molecular autopsy is essential for comprehensive forensic analysis, promoting both justice and prevention of fatal child abuse/homicide. Future research should focus on standardizing forensic protocols and exploring the potential of artificial intelligence (AI) in forensic investigations.