Multiple Chemical Sensitivity and the SLC Gene Superfamily: A Case–Control Study

Multiple chemical sensitivity (MCS) is a disease of unknown etiology with multiple symptoms. Triggered by exposure to environmental chemicals, it results in multiorgan effects. Studies on MCS use different approaches, ranging from searches for environmental triggers to susceptibility genes. Genetic research deals with genes for chemical detoxification, oxidative stress, inflammation, and neurodegeneration, as well as immune function and mast cell activation, with uneven results. The sensory hyperexcitability symptom has not been studied yet but has recently been linked to a member of the <i>SLC</i> gene superfamily. To explore its role in MCS disease, a complete-exome analysis was performed in a small number of subjects. Low-frequency genetic variants were analyzed for each individual, and their homozygous or heterozygous presence was determined in four groups of genes related either to the <i>SLC</i> superfamily members or to previous studies in MCS. We found homozygous rare variants in affected individuals only for the <i>SLC</i> gene superfamily, where each patient had at least one. Variants in heterozygosis and certain SNPs also point to <i>SLC</i> genes related to neurotransmitter synthesis, release, and clearance, as well as to the level of cellular excitability, as potentially underlying the differences.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-07-05
DOI
https://doi.org/10.3390/ijms26136484
Primary Topic
Fibromyalgia and Chronic Fatigue Syndrome Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multiple Chemical Sensitivity and the SLC Gene Superfamily: A Case–Control Study

Carolina Gomez‐Diaz, Esther Alcorta
1 links
International Journal of Molecular Sciences
Fibromyalgia and Chronic Fatigue Syndrome Research
article

Multiple Chemical Sensitivity and the SLC Gene Superfamily: A Case–Control Study

Carolina Gomez‐Diaz, Esther Alcorta
article en

Abstract

Multiple chemical sensitivity (MCS) is a disease of unknown etiology with multiple symptoms. Triggered by exposure to environmental chemicals, it results in multiorgan effects. Studies on MCS use different approaches, ranging from searches for environmental triggers to susceptibility genes. Genetic research deals with genes for chemical detoxification, oxidative stress, inflammation, and neurodegeneration, as well as immune function and mast cell activation, with uneven results. The sensory hyperexcitability symptom has not been studied yet but has recently been linked to a member of the <i>SLC</i> gene superfamily. To explore its role in MCS disease, a complete-exome analysis was performed in a small number of subjects. Low-frequency genetic variants were analyzed for each individual, and their homozygous or heterozygous presence was determined in four groups of genes related either to the <i>SLC</i> superfamily members or to previous studies in MCS. We found homozygous rare variants in affected individuals only for the <i>SLC</i> gene superfamily, where each patient had at least one. Variants in heterozygosis and certain SNPs also point to <i>SLC</i> genes related to neurotransmitter synthesis, release, and clearance, as well as to the level of cellular excitability, as potentially underlying the differences.

International Journal of Molecular SciencesVol. 26(13)
Universidad de Oviedo (ES)
Universidad de Oviedo
Openalex Percentile: Top 80%
Fibromyalgia and Chronic Fatigue Syndrome Research
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.