
Inés Martínez SánchezKarolinska Institutet | KI · Department of Neuroscience
Inés Martínez Sánchez
MSc in Research in Immunology
I am investigating the role of gut-derived bacterial peptidoglycans (PGN) in brain development, function and behavior.
About
2
Publications
671
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Introduction
I am very interested in the role of the gut microbiome in brain function and behavior. Currently, I am investigating a new molecular pathway that is involved in the bidirectional comunication between the gut and the brain. The main component is peptidoglycan (PGN), a bacterial cell wall component that can translocate through the systemic circulation and reach the brain, playing a role in brain development, function and behavior.
Additional affiliations
July 2018 - January 2019
Municipal Laboratory of Alcalá de Henares
Position
- Analyst
Description
- "Microbiological analysis of water for prevention and control of Legionellosis" Supervisor: Jose Ramón de Lucas Iglesias, PhD; M. Concepción Carbonell Pernía, PhD.
Education
September 2019 - September 2020
September 2014 - September 2019
Publications
Publications (2)
Emerging evidence implicate the ‘microbiota–gut–brain axis’ in cognitive aging and neuroinflammation; however, underlying mechanisms still remain to be elucidated. Here, we assessed if potential alterations in intestinal barrier function and microbiota composition as well as levels of two key pattern-recognition receptors namely Toll-like receptor...
The gut microbiota is increasingly recognized as a key environmental factor that shapes host development and physiology, including neural circuits formation and function. Concurrently, there has been growing concern that early-life antibiotic exposure may alter brain developmental trajectories, increasing the risk for neurodevelopmental disorders s...
Questions
Question (1)
Hi!
I am using the Y-maze (Spontaneous alternations test) with the Ethovision XT15 software.
I have checked the literature and everyone seem to use the percentage of alternations as actual alternations divided by the maximum number of possible alternations (which is defined by number of arm entries minus 2) multiplied by 100. The software gives you per trial, one value that is called "Max alternations", but it also gives you the frequency of entries in each arm. So for the formula to find the percentage of spontaneous alternations, you can:
1- Divide the actual alternations (also given by the program) and use the value of "Max alternations" and do the minus two, and *100.
2- Or also, what I have tried is to sum the frequency of entries in each arm (total arm entries) and do minus two, and *100.
I was wondering which is your experience, and which is the value that people use in the formula, since this is not described in most of the papers that I have read.
Thanks a lot to all of you in advance!!