Evidence map›Paper›PMID 42371523›Full record

ArticleBioImpacts : BI2026

Classification of recurrent implantation failure patients using peripheral blood immunological and metabolic markers.

Sina Baharaghdam, Özkan Yildirim, Mohammadbagher Pirouzpanah, Danial Abbas Kabiri, Shima Karimi, Mohammad Esfini Farahani, Amirhossein Aghapour, Ali Hassanzadeh, Amin Kamrani, Reza Mousavi Ardehaie and 5 more

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Article in BioImpacts : BI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Sina BaharaghdamImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0009-0002-8926-5066
Özkan YildirimDepartment of Histology and Embryology, Institute of Health Sciences, Atatürk University, Erzurum, Türkiye.
Mohammadbagher PirouzpanahMolecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Danial Abbas KabiriDepartment of Histology and Embryology, Institute of Health Sciences, Atatürk University, Erzurum, Türkiye.
Shima KarimiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mohammad Esfini FarahaniDepartment of Toxicology and Cancer Biology, University of Kentucky, Lexington, USA.
Amirhossein AghapourImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Ali HassanzadehDepartment of Applied Cell Sciences, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Amin KamraniImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Reza Mousavi ArdehaieMolecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Amir MehdizadehHematology and Oncology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Parvin HakimiWomen's Reproductive Health Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Javad Ahmadian HerisDepartment of Allergy and Clinical Immunology, Pediatric Hospital, Tabriz University of Medical Sciences, Tabriz, Iran.
Leili Aghebati-MalekiImmunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Mehdi YousefiMolecular Medicine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0003-0099-6728

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recurrent implantation failure (RIF) is a complex condition that makes it one of the most challenging cases in the field of infertility. The diagnosis of this condition with the immunological etiology may be aided by determining the endometrial immune profile for the classification of these patients. Current diagnostic approaches are based on invasive endometrial biopsies to classify patients into balanced, low, or over-immune activation profiles, which have limitations for routine use and serial monitoring. This study aimed to develop and validate a minimally invasive peripheral blood-based classification system using immunological and metabolic markers to mirror endometrial immune profiles in RIF patients. Methods: Endometrial tissue and peripheral blood samples were collected during the mid-luteal phase from 163 RIF patients and 28 fertile controls. Endometrial immune profiles were determined via RT-qPCR for IL-18, IL-15, TWEAK, Fn-14, and CD56, classifying RIF into balanced, low, and over-immune activation subgroups, with sample sizes of 32, 47, and 84 women, respectively. Peripheral blood was analyzed by flow cytometry to determine the Th1/Th2 ratio and NK cell percentage; by ELISA to measure nuclear antibodies (ANA, anti-dsDNA), phospholipid-related antibodies (anticardiolipin, anti-β2-glycoprotein I, antiphospholipid antibodies), thyroid-related antibodies (anti-TPO, anti-TG), anti-tissue transglutaminase (anti-TTG), and metabolites (S1P, adiponectin, leptin, PGE2, phosphatidylserine, IGF-1); and by spectrophotometry to quantify total phospholipids. Results: The over-immune activation group showed significantly elevated Th1/Th2 ratios, NK-cell percentages, and autoantibodies (ANA, anti-phospholipid, anti-β2-glycoprotein I, anti-TG, anti-TPO) compared to balanced and low-immune activation groups. Metabolic profiles revealed higher leptin, and total phospholipids but lower adiponectin, S1P, and PGE2 in over-immune activation group. The low-activation group exhibited lower Th1/Th2 ratios, reduced leptin, but elevated adiponectin, S1P, and PGE2 versus balanced and over-immune activation groups. No significant differences were found in phosphatidylserine or IGF-1 across groups. Conclusion: Our results demonstrate that peripheral blood immunological and metabolic markers can effectively distinguish RIF immune endotypes, offering a non-invasive alternative to endometrial biopsy for personalized assisted reproductive technology (ART) management and potentially improving implantation success through targeted therapies.

Indexed as

Immune profileInfertilityPersonalized treatmentRecurrent implantation failure

Identifiers

PMID42371523
PMCPMC13310247

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.