The aim of the present study was to examine whether endocannabinoidscause PPARγ-mediated vascular actions.
In the present study, we have examined whether endocannabinoidscause time-dependent, PPARγ-mediated
vascular effects as previously shown for the phytocannabinoid, THC [, ].
In these studies, we demonstrate for the
first time that the endocannabinoidsanandamide and NADAcause PPARγ-mediated,
time-dependent vasorelaxation of rat aortae, which is dependent on de novo protein synthesis, nitric oxide
production and superoxide dismutase activity.
On the basis that PPARγ
agonists cause time-dependent vasorelaxation of isolated aortae [, ], and
that endocannabinoids activate PPARγ [–],
we investigated whether endocannabinoidsproduce time-dependent
vasorelaxation.
In addition, noladin ethercaused a delay in wound healing of confluent trabecular meshwork monolayers and this effect of noladin ether was antagonized by SR141716A.
Collectively, in MDCK cells, anandamide induced [Ca(2+)](i) rises by causing Ca(2+) release from endoplasmic reticulum and Ca(2+) influx from extracellular space.
This study examined whether anandamidealtered Ca(2+) levels and caused Ca(2+)-dependent cell death in Madin-Darby canine kidney (MDCK) cells. [Ca(2+)](i) and cell death were measured using the fluorescent dyes fura-2 and WST-1 respectively.
However, the details of the mechanisms for the regulation of cough sensitivity by anandamide are not yet well known.
These results suggest that anandamide, an endogenous cannabinoid ligand, may modulate cough sensitivity and that anandamide transporters play an important role in this modulation.
In conclusion, the present results suggest that anandamide, an endogenous cannabinoid ligand, may modulate cough sensitivity and anandamide transporters play an important role in this modulation.
Furthermore, it is possible that higher doses of anandamide may cause the activation of the cytosolic domain of TRPV1 receptors, since anandamide-induced enhancement of the number of coughs was abolished by pretreatment with either capsazepine, a selective TRPV1 receptor antagonist, or VDM11.
This review focuses on the results of recent studies indicating that beyond their receptor-mediated effects, endocannabinoidsalter the functions of ion channels and other integral membrane proteins directly.
Furthermore, functional properties of G-protein-coupled receptors for different types of neurotransmitters and neuropeptides are altered by direct actions of endocannabinoids.
These data show that: 1) Ca2+ and anandamidecause hyperpolarization-mediated relaxation of mesenteric branch arteries, which is dependent on an iberiotoxin-sensitive Ca2+-activated K+ channel, 2) relaxation induced by both Ca2+ and anandamide is inhibited by CB receptor blockade, and 3) relaxation induced by anandamide is not dependent on its breakdown to arachidonic acid and subsequent metabolism.
Although several pieces of evidence indicate that the endocannabinoid system modulates anxiety-like behaviors and stress adaptation, few studies have investigated the brain sites of these effects.
These results suggest that facilitation of endocannabinoid system neurotransmission in the ventral hippocampus modulates anxiety-like behaviors and that this effect depends on previous stress experience.
This conditional release of endocannabinoids can transform motoneurons and crossing interneurons into modulatory neurons by enabling them to regulate their inhibitory synaptic inputs and thus contribute to the modulation of the locomotor burst frequency.
Quertle searches for relationships, such as "A causes B".
Thus, it is best to focus your initial query on the core concepts of interest,
such as "what causes B".
Then, add additional terms, such as "mice", and dates when you filter the results.
Authors and journals should be entered into their own search boxes.
Example
use this: caffeine treats migraines
instead of this: caffeine treats migraines in mice 2009 Smith
Start typing a name to display a list of authors.
As you type more, the list will update accordingly.
When you see the author you want, select that name from the list.
Separate multiple authors by a comma.
If more than one author is entered, the results must contain ALL of the names.
Start typing to display a list of journals.
As you type more, the list will update accordingly.
When you see the journal you want, select it from the list.
Separate multiple journals by a comma.
The results will be for ANY of the entered publications.
This tab displays documents containing relationships that match your query.
As you filter the results, the number will update.
This tab displays documents simply containing your search terms,
not necessarily in a meaningful relationship.
As you filter the results, the number will update.
To remove any filter, click its .
When multiple filters are applied, all can be removed using the
that appears next to this hint.
Or, click on any of the filters to remove all filters below that level.
Filter documents to those that contain the additional term anywhere within the relevant text
including the title, abstract, body (for full-text), and MeSH terms.
Key Concepts related to your query will appear in this list.
If you used a Power Term, the members of that class of objects appearing in the relationships
will be shown. If other terms in your query represent a group of entities (such as "neurotransmitters"), these may
be also be listed in separate sections.
If your query contains the term "what" (for example, "what controls cell cycle"), the first set of
terms listed are specifically from the portion of the relationship that might contain the "what".
All queries will also have a section called "General Concepts". These are additional concepts that
may be of interest.
Click on a term to display only those results that contain the concept of interest. The listed
concepts are based on a statistical sampling and are not all-inclusive.
It's easy - Quertle's friendly interface makes it simple to search and refine results.
It's powerful - Using its advanced semantics, Quertle finds quality search results, not just long lists.
It's inclusive - All of PubMed (MEDLINE) plus an ever increasing number of full-text documents.
NEW: More Content - News (so you can find information before publication in the literature) and whitepapers (corporate research reports and scientific posters).
Find Relationships, not Just Keywords
If you search for two or more terms, you will find occurrences of a conceptual relationship, not just the
terms scattered within the same document.
Focus on Core Concepts
Since Quertle searches for Relationships,
all the terms in your query must be found together in a meaningful way.
Thus, Quertle immediately gives you results with more relevance.
Unleash the Strength of Power Terms™
Use Power Terms to search for categories of objects. For instance, you can use "$Protein" to
search for any protein, rather than the occurrence of the term, "protein".
View all Power Terms.
Search Full-text Documents
The Quertle search engine has been optimized to search
full-text documents, including the Material and Methods section
(but not the Bibliography).
Use Real Biology & Chemistry Terms
Quertle recognizes capital "TWIST"
as the transcription factor (not the verb),
and capital "NO" as "nitrous oxide"(not a negative).
So, use proper capitalization in your query, and you won't be lost in a sea of irrelevant results.
Look for the Quertle Difference on the Results Page
» More relevant results
» Easy filtering and breadcrumb tracking
» Automatic identification of key concepts
» Single-click access to PDFs of full-text documents
Quertle is a registered trademark of Quertle, LLC.
PubMed & MEDLINE are registered trademarks of the National Library of Medicine.
Relationships vs. Keywords
Relationships are conceptual facts based on the context and implication of the text.
A document may have more than one relationship relevant to your search.
Click on "Expand All Relationships" to view more relationships.
Keyword Results, in contrast, are independent of context and
simply have your search terms anywhere within the document.
Results Order
Results are initially ordered by relevance to your search.
You can also sort by publication date.
Note that documents with a date of "Epub" (an electronic publication ahead of print).
will be sorted based on their expected publication date.
Easy to Use Filters
Several types of filters, such as Published Within (date)
and Publication Type are found in the Filters section,
making it easy to focus in on what is most important.
Key Concepts
In the Filters section, use the automatically extracted Key Concepts
to refine the Relationship results.
General Concepts, as well as action words can also be used for filtering.
Click on the desired term to limit the relationships shown to those containing
the selected concept.
Highlighting
Terms (and their synonyms) used in your query will be highlighted.
You have the option to turn highlighting off.
Power Terms™
Use any of the following Power Terms in your query to represent an entire class of related concepts.
Click on a term to add it to the current query (or type them directly).
Power Terms can be combined in a single query.
The most common Power Terms are shown below; for more, see the
full list of Power Terms.
Sample queries for several fields are shown. Click the desired query to execute any of the samples.
Note that queries are focused on Relationships, leaving modifier terms to be applied as filters.
Molecular Biology Examples
p53 Bax - looking for relationships
between these proteins
p53 $PositiveActions Foxp3 - looking specifically
for papers that have
the concept "p53 has a positive effect on Foxp3" - not simply papers that include the terms
cell cycle - looking for information
about this process