In Vitro Models for Emerging Infectious Disease Detection and Host–Pathogen Interaction Studies

Many emerging and re-emerging infectious diseases have been observed over the last few decades around the globe due to population growth, international travel, environmental changes, and microbial adaptation and evolution, despite advances in the medical field. The spread of these diseases is related to complex interactions between pathogens and their hosts. Accordingly, this review summarises current knowledge on infection development and discusses methods used for detection and modeling. Recent studies have revealed the limitations of two-dimensional models and increasingly rely on 3D systems, including spheroids, organoids, and organ-on-a-chip systems, that offer more realistic tissue environments, allowing researchers to more effectively study host–pathogen interactions. Overall, the integration of complementary approaches and the development of 3D models are crucial for enhancing diagnosis, developing new therapeutic approaches, and strengthening control strategies of emerging outbreaks.

Authors

Institutions

Publication Details

Journal
Applied Microbiology
Published
2026-01-07
DOI
https://doi.org/10.3390/applmicrobiol6010010
Primary Topic
Biosensors and Analytical Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Vitro Models for Emerging Infectious Disease Detection and Host–Pathogen Interaction Studies

Mohamed Ouzine, A. Saddari, A. Maleb, Mohammed Lahmer et al.
Applied Microbiology
Biosensors and Analytical Detection
article

In Vitro Models for Emerging Infectious Disease Detection and Host–Pathogen Interaction Studies

Mohamed Ouzine, A. Saddari, A. Maleb, Mohammed Lahmer, Oussama Grari, Said Ezrari, Abdessamad Ikken
article en

Abstract

Many emerging and re-emerging infectious diseases have been observed over the last few decades around the globe due to population growth, international travel, environmental changes, and microbial adaptation and evolution, despite advances in the medical field. The spread of these diseases is related to complex interactions between pathogens and their hosts. Accordingly, this review summarises current knowledge on infection development and discusses methods used for detection and modeling. Recent studies have revealed the limitations of two-dimensional models and increasingly rely on 3D systems, including spheroids, organoids, and organ-on-a-chip systems, that offer more realistic tissue environments, allowing researchers to more effectively study host–pathogen interactions. Overall, the integration of complementary approaches and the development of 3D models are crucial for enhancing diagnosis, developing new therapeutic approaches, and strengthening control strategies of emerging outbreaks.

Applied MicrobiologyVol. 6(1)
Mohamed I University (MA), Instituto Superior da Maia (PT), Sidi Mohamed Ben Abdellah University (MA)
Openalex Percentile: Top 96%
Biosensors and Analytical Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

In Vitro Models for Emerging Infectious Disease Detection and Host–Pathogen Interaction Studies — Mohamed Ouzine, A. Saddari, et al. · Applied Microbiology (2026) | TGRS Research Map | TGRS