Genes Affect Human Immune Response to Pathogens
News Jul 06, 2016
A team investigated the response of immune cells from 200 healthy volunteers when stimulated with a comprehensive list of pathogens ex vivo (outside the human body), and has correlated these responses with 4 million genetic variants (SNPs). The study was performed by scientists from University Medical Centre Groningen, Radboud University Medical Centre (both in the Netherlands) and Harvard Medical School (Boston, USA).
We all encounter pathogens on a daily basis, but we don’t all defend ourselves against bacteria or fungi, for example, in the same way. Some people experience mild symptoms, others may become violently ill or even die. ‘We wanted to discover how much individual genetic differences determine this variable response’, said Dr. Vinod Kumar, assistant professor of functional genomics and infectious diseases at University Medical Centre Groningen (UMCG) and one of the senior authors of the paper.
The study focused on the role of cytokines, small peptides used by immune cells as signals to guide their response to an infectious agent. Blood samples were obtained from 200 participants in the Human Functional Genomics Project, which was initiated by Professors Mihai Netea and Leo Joosten (Radboud UMC) and Prof. Cisca Wijmenga (UMCG). Immune cells were isolated from the blood and stimulated in the laboratory with ten different bacterial and fungal pathogens. The responses of eight different cytokines were measured after 24 hours and/or 7 days. Further quality filtering resulted in 62 different combinations.
‘We observed large differences in cytokine production between individuals’, explained Kumar. ‘Their responses were also specific to the different pathogens’. This suggests that cytokines contribute to the varied responses to pathogens, and that each infection triggers a specific cytokine response pathway. Previous studies on unstimulated immune cells had shown little variation between individuals.
Dr. Yang Li, another author on the study, explained: ‘The key to our results is that we performed a large-scale study, using many pathogens and measuring different cytokines’. The next step was to investigate if the responses were under genetic control. In a subset of participants, they tested 4 million single nucleotide polymorphisms (SNPs).
This pinpointed six genomic regions that influence cytokine responses, suggesting that cytokine production is at least partly genetically determined. One of the strongest examples is a SNP that affects the expression of the GOLM1 gene, which is known to express strongly in response to viral infections. In this case, there was a strong correlation with the response to the fungus Candida albicans, which is responsible for thousands of deaths each year. ‘When a particular variant of the SNP was present, the production of the cytokine interleukin-6 was reduced’, said Kumar. The result was verified in a cohort of patients with candidemia, in which the fungus is present in the blood. The candidemia correlated strongly with the same SNP and with low levels of interleukin-6 in these patients, showing that the presence of the genetic variant results in an inability to clear the pathogen.
‘This study is a real proof-of-concept’, says Li. ‘We found a lot of variation in cytokine production upon stimulation, and showed that an important part of this variation is explained by a genetic component’. This opens the way for more applied studies that move towards personalized medicine. It might well be possible to find genetic markers that will predict the risk of infection in individuals. An understanding of the genetic mechanisms underlying these different susceptibilities could lead to new therapeutic approaches.
‘And it’s not just for infections’, said Kumar: ‘Autoimmune diseases, for example inflammatory bowel disease, appear to be caused by an over-responsive immune system. So this work means we can learn more about the way infections trigger autoimmune diseases.’
Analytical Tool Predicts Disease-Causing GenesNews
Predicting genes that can cause disease due to the production of truncated or altered proteins that take on a new or different function, rather than those that lose their function, is now possible thanks to an international team of researchers that has developed a new analytical tool to effectively and efficiently predict such candidate genes.
Single Gene Change in Gut Bacteria Alters Host MetabolismNews
Scientists have found that deleting a single gene in a particular strain of gut bacteria causes changes in metabolism and reduced weight gain in mice. The research provides an important step towards understanding how the microbiome – the bacteria that live in our body – affects metabolism.READ MORE
Gotta Sample 'Em All! Underwater Pokéball Captures Ocean LifeNews
A new device developed by Wyss Institute reseachers safely traps delicate sea creatures inside a folding polyhedral enclosure and lets them go without harm using a novel, origami-inspired design. The ultimate aim is to allow the sea creatures to be (gently) analyzed in high detail.READ MORE