de Beaucoudrey L …
,
Puel A,
Filipe-Santos O,
Cobat A,
Ghandil P,
Chrabieh M,
Feinberg J,
von Bernuth H,
Samarina A,
Jannière L,
Fieschi C,
Stéphan JL,
Boileau C,
Lyonnet S,
Jondeau G,
Cormier-Daire V,
Le Merrer M,
Hoarau C,
Lebranchu Y,
Lortholary O,
Chandesris MO,
Tron F,
Gambineri E,
Bianchi L,
Rodriguez-Gallego C,
Zitnik SE,
Vasconcelos J,
Guedes M,
Vitor AB,
Marodi L,
Chapel H,
Reid B,
Roifman C,
Nadal D,
Reichenbach J,
Caragol I,
Garty BZ,
Dogu F,
Camcioglu Y,
Gülle S,
Sanal O,
Fischer A,
Abel L,
Stockinger B,
Picard C, Casanova JL » «
Secretion of IL-17 by T cell blasts from controls (black circles) and patients (red circles), as measured by ELISA.
Patients with STAT-3 deficiency had the most severe IL-17 phenotype of all the patients tested, with a profound impairment of IL-17 production by T cells ex vivo and T cell blasts in vitro.
S3 shows the secretion of IL-22 by T cell blasts from controls and patients in the various culture conditions, as measured by ELISA.
These data indicate that STAT-3 is required for the maintenance and expansion of IL-17–secreting human T cell blasts and for the secretion of IL-22 by human T cell blasts, at least in these experimental conditions.
In patients, most of the IL-17 producing T-cells were confined to the CCR6+ T-cell subset (80 ± 13%).
Patients with and without active disease were analysed for CD80 expression on IL-17 producing T-cells.
Percentages of IL-17 expressing T-cells were significantly increased in patients with active disease as compared to healthy controls (1.46 ± 0.58% versus 0.93 ± 0.30%, P = 0.007).
The percentage of IL-17 producing T-cells was analysed in the peripheral blood of 30 SLE patients and 16 healthy controls.
Although Th17 and Treg differentiation are controlled by reciprocal molecular pathways, naïve T cells activated with TGF-β and IL-6 can differentiate into Th17 cells in the presence of nTreg , , .
CD28 co-stimulation inhibits in vitro generation of IL-17 producing CD4+ T cells.
As shown in the percentage of CD4+ T cells producing IL-17 was significatively augmented with high doses of immobilized anti-CD3 mAb.
In agreement with these observations, we found that the enhancement in IFN-γ and IL-2-secreting CD4+ T cells was inversely correlated with the frequency of IL-17-producing cells.
The finding that vitamin A deficiency promotes increased development of Il10-expressing T cells in vivo supports the role of at-RA in suppressing development of IL-10–competent T cells, particularly the Foxp3− IL-10–competent Tr1-type subset.
Il10-competent CD4 T cells stimulated ex vivo produced a substantial amount of IL-10 protein (1.7 ± 0.1 ng/ml) ().
Importantly, we saw very little expression of IL-17 by CD4 T cells activated with CpG-BMDC in the presence of TGF-β, even when blocking antibodies against IFN-γ and IL-4 were included ().
Concerning T cells that coexpress Foxp3 and Il10, although rapid induction of this phenotype was observed in a minor fraction of naive CD4 T cells activated with TGF-β and IL-6 under conditions of limited at-RA in vitro, we have previously shown that Foxp3+IL-10+ T reg cells arise in the periphery from Foxp3+IL-10− precursors, especially in intestinal tissues ().
The mice that received the T cells differentiated with IL-12 or IL-1β + IL-23 developed severe EAE ().
Because IFN-γ–deficient mice develop EAE and develop encephalitogenic Th17 and not Th1 cells, we examined whether the CNS-infiltrating T cells coexpressed IL-17 and T-bet.
As seen in , many combinations of these cytokines generated T cells capable of producing IL-17.
Encephalitogenic T cells differentiated in vitro with IL-12 or IL-1β + IL-23 expressed high levels of T-bet, whereas addition of TGF-β consistently reduced T-bet expression and encephalitogenic capacity.
Moreover, the frequency of IL-17-producing T cells is increased in the peripheral blood of patients with SLE [, , ].
In these mice as in the MRL/lpr, IL-17-producing T cells are detected in kidneys affected by nephritis.
The immune environment in patients with SLE is ideally suited for the generation of IL-17-producing T cells.
Support for their pathogenic role derives from the fact that IL-17-producing T cells have been observed in kidneys of patients with lupus nephritis [, ], among infiltrates rich in DN T cells [].
These data show for the first time that the formation of IL-17A and RORγt-expressing TCRγδ+ T cells is IL-23 dependent in vivo.
Therefore, studies on early RA patient materials including synovial tissue infiltrates are needed to evaluate the presence of IL-17-producing TCRγδ T cells.
Here, we found a relatively high percentage of IL-17-producing TCRγδ+ T cells in the spleen and inflamed joints of arthritic wild type mice.
These data show that IL-23 is critical for full-blown expression of a non-autoimmune destructive arthritis and regulates the proportion of IL-17A and IFN-γ-positive CD4+ T cells at the site of inflammation.
Successful allergen-specific immunotherapy (SIT) is associated with reduced Th2 cytokine production and the induction of IL-10-producing regulatory T cells.
This was associated with decreased IL-4 and IL-5 levels, and increased IL-10 levels in BAL fluids as well as increased amounts of IL-10-producing CD25+ regulatory T cells.
Furthermore, CD4 CD25 double-positive spleen T cells were checked for intracellular IL-10 production by flow cytometry.
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