AIMC Topic: Microbiota

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Machine Learning in Microbiome Research and Engineering.

ACS synthetic biology
Microbiomes, complex communities of microorganisms and their genetic material, hold immense potential for addressing global challenges in diverse sectors, including healthcare, agriculture, and bioproduction. Engineering these intricate ecosystems, h...

Functional dynamics between resident transcriptionally active microbes (TAMs) and host genes underlie Dengue severity.

PLoS neglected tropical diseases
Host-microbe interactions are increasingly recognized as an important module to understand disease progression and potential treatment strategies. Increasing evidence points to the microbiome's ability to modulate host gene expression, and thereby in...

The best from both disciplines: integrating human and microbial signatures from whole genome sequencing to advance cancer diagnostics.

mSystems
Liquid biopsies are transforming oncology, enabling earlier diagnosis, dynamic treatment guidance, and personalized precision medicine, yet current approaches focusing mainly on circulating host cell-free DNA (cfDNA) neglect crucial information withi...

Large-scale characterisation of the nasal microbiome redefines Staphylococcus aureus colonisation status.

Nature communications
Staphylococcus aureus colonises the nose in humans, with individuals defined as persistent, intermittent or non-carriers. Unlike the gut microbiome, the nasal microbiome has not been studied in large numbers of people. Here, we define the nasal micro...

Phylo-Spec: a phylogeny-fusion deep learning model advances microbiome status identification.

mSystems
The human microbiome is crucial for health regulation and disease progression, presenting a valuable opportunity for health state classification. Traditional microbiome-based classification relies on pre-trained machine learning (ML) or deep learning...

Microbial and seminal traces of sexual intercourse and forensic implications.

Microbiome
BACKGROUND: The increasing numbers of sexual violence and unresolved rape cases require alternative approaches with higher evidential value to complement existing forensic tools. Predicting recent intercourse is crucial in forensic casework on sexual...

A systematic longitudinal study of microbiome: integrating temporal-spatial dimensions with causal and deep learning models.

BMC genomics
Longitudinal microbiome data provide a unique opportunity to explore dynamic interactions between microbial communities and disease progression. However, these data are often characterized by missing values, sparse signals, and limited interpretabili...

Anaerobic microbial degradation of persistent organic pollutants in aquatic sediments: implications of climate change.

Archives of microbiology
Persistent organic pollutants (POPs) are harmful chemicals that resist degradation and remain in the environment for a long time. These pollutants originate from various sources, such as industrial, agricultural, and waste disposal. They contaminate ...

Metagenomic next-generation sequencing unraveled the characteristic of lung microbiota in patients with checkpoint inhibitor pneumonitis: results from a prospective cohort study.

Journal for immunotherapy of cancer
BACKGROUND: Checkpoint inhibitor pneumonitis (CIP) is among the most lethal immune-related adverse events in patients with cancer receiving immunotherapy. This study aims to characterize the lung microbiome in patients with CIP and evaluate its diagn...

Predicting microbial community structure and temporal dynamics by using graph neural network models.

Nature communications
Understanding species-level abundance dynamics in complex microbial communities is key to managing microbial ecosystems, yet it remains a major challenge. In wastewater treatment plants (WWTPs), the presence and abundance of process-critical bacteria...