Evidence map›Paper›PMID 41918734›Full record

ReviewFrontiers in immunology2026

Isolation and characterization of Hofbauer cells from human term placentas.

Dancan M Wakoli, Bartholomew N Ondigo

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dancan M WakoliLaboratory of Infectious Diseases, Department of Biochemistry and Molecular Biology, Egerton University, Njoro, Kenya.
Bartholomew N OndigoLaboratory of Infectious Diseases, Department of Biochemistry and Molecular Biology, Egerton University, Njoro, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hofbauer cells (HBCs) are macrophages of fetal origin present in the human placenta that play a key role in maintaining a healthy pregnancy. They are the most abundant immune cells (> 90%) in the placental villi. They have been implicated in various complications of pregnancy, though their role in these pathologies remains rudimentary. In addition, despite being discovered over a century ago, there is no consensus on the specific time window between delivery and placental sample processing for HBCs isolation, the site of biopsy sampling, and isolation protocol. In previous studies, mechanical disintegration, enzymatic digestions, density gradient separation, homogenization, adherence, rosetting, and immune selection techniques have been used to isolate HBCs for immunological studies. Here we review current knowledge on HBCs isolation methods, their role in healthy and pathologic pregnancy, and the impact of pregnancy complications on HBCs population and phenotype. A literature search was conducted on Scopus, PubMed, and Google Scholar databases using specific keywords, including "Isolation of Hofbauer cells, Hofbauer cells and infectious diseases, Hofbauer cells on immune function, and Hofbauer cells and maternal autoimmune pathology." No restrictions were placed on the year of publication or author affiliation during the selection process. Developing a standardized and harmonized HBCs isolation technique(s) will allow comparative studies across laboratories, research groups studying HBCs. These standardized approaches will provide the necessary impetus for studies on HBCs and their functionality in healthy and placental pathologies.

Indexed as

Cell SeparationMacrophagesPlacentaFemaleHumansPregnancyHofbauer cellsinfectious diseasesisolationmacrophagesmaternal autoimmune pathologyplacenta

Identifiers

PMID41918734
PMCPMC13033568

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Registered trials

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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.