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Record W4283730977 · doi:10.1093/humrep/deac107.314

P-330 The immune cell population of the human fallopian tubes in health and benign pathology: a systematic review

2022· review· en· W4283730977 on OpenAlexaboutno aff
Fatima Aljassim, Charlotte H. Rigby, S. Powell, James Wyatt, Christopher J. Hill, D Hapangama

Bibliographic record

VenueHuman Reproduction · 2022
Typereview
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationFallopian tubeInfertilityMedicineGynecologyImmune systemObstetricsPregnancyImmunologyBiology

Abstract

fetched live from OpenAlex

Abstract Study question What is the immune cell profile of the human fallopian tube in health and in benign pathological conditions? Summary answer The fallopian tubes have a distinct population of immune cells from the innate and adaptive subsystems. Variations have been observed in several tubal pathologies. What is known already The fallopian tubes play a key role in fertility; up to 30% of infertility cases have been reported due to tubal pathologies, which have been neglected due to the success of in vitro fertilisation (IVF). The fallopian tubes have been shown to harbour immune cell populations with the involvement of both the innate and adaptive arms of the immune system that provide surveillance against several pathogens. Therefore, characterisation of this population is vital in promoting a better understanding of tubal pathogenesis, and its influence on infertility, leading to improvements in the sexual and reproductive health of women. Study design, size, duration This systematic review was conducted on the 1st November 2021 and reported in accordance to PRISMA statement, and preceded by a prospectively written protocol registered with PROSPERO (registration number: CRD42021288257). CINAHL, EMBASE and EMCARE, Scopus and PubMed databases were searched for relevant published material. All studies that concerning the immune cells of human fallopian tubes in health or benign pathology of pre-menopausal, pregnant and/or post-menopausal women that published in English language were included. Participants/materials, setting, methods The predefined search strategy identified 3767 publications. Following screening, a total of 42 studies were included and data was extracted. The findings are thematically reported based on: (1) menopausal status and/or cycle phase; (2) pathophysiology; (3) immune cell types. A risk of bias assessment was performed using Newcastle-Ottawa scale (NOS) and a modified version for case studies. Main results and the role of chance T lymphocytes, predominantly CD8+ cytotoxic T cells, represent the most abundant immune cell population within the healthy fallopian tube. B lymphocytes, macrophages, natural killer (NK) cells and dendritic cells have also been identified. The number of macrophages demonstrated a consistent and significant increase during the progesterone-dominant secretory phase compared to the proliferative phase. A similar distribution of lymphocytes was reported in tubal ectopic pregnancies to that in healthy tubes. Macrophages, dendritic cells, and natural killer (NK) cells were observed in tubal pregnancies with a significant increase in the number of CD56+ and CD3+ cells in cases of tubal rupture. Salpingitis, hydrosalpinx and endometriosis are all characterised by an increased population of macrophages in comparison to healthy fallopian tubes. Limitations, reasons for caution Some studies scored poorly on the NOS, suggesting their findings to be treated with caution. The deficiency in published research into common tubal pathologies and inconsistent findings presented between studies only allowed limited conclusions to be formulated regarding these immune cell populations. Wider implications of the findings Comprehensive knowledge of the immune cell profile of the human fallopian tubes will provide greater understanding into the pathophysiology of common tubal disorders, potentially leading to innovative treatments in the future. Trial registration number not applicable

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.314
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.316
Teacher spread0.269 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations1
Published2022
Admission routes1
Has abstractyes

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