These articles both dealt with modeling
schizophrenia in rodents, which is an interesting change from the other anxiety
and depression related articles we have read this semester. After reading the
beginnings of the articles I was immediately intrigued in how the disease would
be modeled and measured since symptoms of schizophrenia in humans include
hallucinations, delusions, and other signs of being out of touch with reality
which are difficult to measure in rodents. The first article, Burrow et al
(2015) aimed to study the glutamatergic signaling related to schizophrenia and how
environmental conditions effect it. Although this paper was more technically
specific, I had trouble believing their model, that the mGlu5 knockout mice suffice
as an adequate model of schizophrenia. This model is built off the
understanding that NMDA and GLU receptor malfunctions are involved in
schizophrenia. As we are learning even from these very studies, schizophrenia
is a complex disease that we do not fully understand, so simply knocking out
one type of glutamate receptor in rodents does not seem like a good representation
of the disease. However, I do understand the Catch 22 at play here – how can
you model a disease of which you don’t know all of the causes? I am not familiar
with schizophrenia well enough to propose a thorough solution, but I was more
easily convinced of the schizophrenia model in the other paper, Ayhan 2011. The
Ayhan paper (2011) focused on the manipulation of the human
Disrupted-In-Schizophrenia-1 (hDISC-1) gene, a gene known to be linked to
schizophrenia, mood disorders, and brain development. I found this paper the
most fascinating because it explored effects in both male and female mice pre-
and post-natally. The sex and age/state of development of subjects in a study
are always the variable that I am most interested in, so I was excited to see
these important aspects included in the study. The data differed slightly
between male and female groups, with females exhibiting fewer locomotor effects
and greater effects in the DA levels in the hippocampus. Although this data may
not mean anything conclusively to us now, because it is now known that these
sex differences in schizophrenia exist, future researchers may look more
directly into this correlation to uncover more about the disease and how it
relates to sex. How do estrogen and testosterone levels affect the development
of schizophrenia? How does the schizophrenic phenotype of male and female rodents
compare pre and post adolescently? We do not even know if many of the sex
differences we see in male and female human neurobiology are due to nature,
nurture, or both, so studies like this can shed light on the topic even if just
in animal models. This study highlights how important it is that neuroscience
studies use both male and female subjects. I also enjoyed this paper because
experimented with how prenatal conditions contribute to the diagnosis of
schizophrenia of the child later on. Ayhan et al aimed to test if rodents can
be predisposed to schizophrenia from genetic mutations in the womb, relating to
the fact that recent research has linked influenza during pregnancy to
schizophrenia in the child later in life. Out of all the topics I’ve been
introduced to through my major, I am most fascinated by developmental neuroscience
and women’s health/obstetrics. I understand that prenatal conditions are extremely
important and influential to a child’s health and can trigger genes or cause
mutations that will affect them their entire life. There is a lot we haven’t
explored relating to how prenatal and birthing conditions affect the life of
the offspring, and I believe there is a lot to uncover, but I appreciated how
this paper explored the topic because it is something few studies attempt.
The Chaudhury et al paper explored the neural circuit mechanisms involved in the dopamine modulation of certain symptoms of depression. In this study, the researchers looked at social interaction and sucrose preference as part of their social-defeat paradigm, which has been shown in the past to be indicative of depressive-like behaviors. Although I initially did not completely see the connection between the social-defeat stress model of depression and the tonic vs phasic firing of dopamine neurons, it seemed that susceptibility and resilience to stress played a role in the functional/behavioral effects of dopamine firing. It was interesting to see how chronic mild stress with phasic firing of VTA dopamine neurons converted even resilient mice into susceptible mice. The Tye et al paper similarly looked at the dopamine modulation of depressive-like behaviors, focusing on motivation with the forced swim tests and open field tests, followed by measurement of anhedonia by quantifyi...
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