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Record W4394694143

Etude du microenvironnement inflammatoire dans la lymphomagenèse gastrique induite par l’infection à Helicobacter pylori

2021· preprint· fr· W4394694143 on OpenAlexfundno aff
Alice Blosse

Bibliographic record

Venuetheses.fr (ABES) · 2021
Typepreprint
Languagefr
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsnot available
FundersInstitute of GeneticsNational Institutes of HealthNational Centre for the Replacement Refinement and Reduction of Animals in ResearchVanderbilt UniversityUniversité de MontpellierUniversité de BordeauxAssistance publique-Hôpitaux de ParisU.S. Department of Veterans Affairs
KeywordsHelicobacter pyloriHelicobacter pylori infectionMedicineImmunologyGastroenterology
DOInot available

Abstract

fetched live from OpenAlex

H. pylori colonizes the stomach of about half of the world population and induces a chronic inflammation named gastritis, most often asymptomatic but which may evolve towards more serious gastroduodenal pathologies including gastric MALT lymphoma (mucosa-associated lymphoid tissue) or GML. Although occurring in a very small number of infected subjects, it is now well demonstrated that GML’s development is directly caused by H. pylori infection. In this disease, H. pylori-antigenic chronic stimulation to the gastric mucosa leads to the recruitment of lymphocytes and maintains a monoclonal proliferation of B lymphocytes organizing into lymphoid follicles which are normally absent in the gastric mucosa. Therefore GML is part of an inflammatory continuum response to H. pylori. However, the mechanisms leading to this lymphoma are not clearly understood. Since bacterial virulence factors seem to play a minimal role, the study of host factors and in particular the study of the inflammatory microenvironment appears to be an interesting way to better understanding the pathogenesis of this lymphoma.In the first part, we looked at the molecular mechanisms that may be involved by studying the deregulation of microRNAs (miRNAs). Our results showed an up regulation of 4 miRNAs (miR-155, miR-150, miR-196 and miR-138) and a down-regulation of 2 miRNAs (miR-7 and miR-153) in human stomachs at the GML stage, globally different results from those previously obtained by the team in the d3Tx mouse model of GML. Except miR-138, deregulated miRNAs could act synergistically on multiple validated targets involved in a common anti-apoptotic signaling pathway promoting cell survival and B lymphocytes proliferation leading to the lymphomagenesis process.Some cytokines, such as the the APRIL cytokine, would play a leading role in GML pathogenesis. Thus, the team has developed a promising GML model based on transgenic mice with the human form of this cytokine (Tg-hAPRIL). In a second part, we therefore focused on the study of the polarization of the inflammatory response in this novel animal model, and validated these results in the gastric biopsies of GML patients. Our results showed the presence of a balanced gastric Th1, Th2 and T regulatory inflammatory response at the lymphoma stage, both in the Tg-hAPRIL mouse model and in humans. After confirming the gastric overexpression of the APRIL cytokine in patients with GML, we demonstrated, on the one hand, that the target cells of the APRIL cytokine were mainly B lymphocytes present within the lymphoid infiltrates, thus supporting the hypothesis according to which the APRIL cytokine would participate in uncontrolled B lymphocyte proliferation and, on the other hand that the APRIL-producing cells were rare eosinophils present in the tumor microenvironment, suggesting a pro-tumoral role of this cell type in gastric lymphomagenesis.To conclude, all of our results demonstrate that the inflammatory microenvironment is a key contributor to the development of GML.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.234
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venuetheses.fr (ABES)Same topicHelicobacter pylori-related gastroenterology studiesFrench-language works237,207