Evidence map›Paper›PMID 41404190›Full record

ReviewJournal of immunology research2025

Low-Density Neutrophils: Enigmatic Cells in Health and Disease.

Carlos Blanco-Camarillo, Carlos Rosales

Abstract readReview
In one paragraph

Review in Journal of immunology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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.

Carlos Blanco-CamarilloInstituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico, unam.mx.ORCID https://orcid.org/0009-0006-3766-796X
Carlos RosalesInstituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico City, Mexico, unam.mx.ORCID https://orcid.org/0000-0003-2568-5723

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophils have been generally considered to be homogeneous cells with only antimicrobial functions. Nowadays, however, it is clear that neutrophils are heterogeneous cells, with multiple phenotypes and functional states. One neutrophil subpopulation, the low-density neutrophils (LDN) are found among peripheral blood mononuclear cells (PBMC) after separating blood cells by density gradient centrifugation. LDN have attracted a lot of interest because they increase dramatically in several pathological conditions. LDN have been mostly studied in systemic lupus erythematosus (SLE). In this disease, LDN are prone to produce neutrophil extracellular traps (NETs) and to secrete larger amounts of proinflammatory cytokines. However, in the context of cancer, LDN are described as immunosuppressive cells and have been called granulocytic-myeloid-derived suppressor cells (G-MDSCs). Moreover, in the case of many other diseases, there is very little information on the functional properties of LDN. Hence, LDN not simply increase in numbers but become functionally different during distinct disease states. This has created confusion in the field, and the characteristics and functions of LDN continue to be a contentious issue. In this review, we aim to bring together current research in the field of LDN. We discuss discrepancies in the literature in relation to the identification and functional characterization of LDN, and also the possibility that LDN could become a biomarker for some inflammatory conditions and even novel therapeutics for certain diseases.

Indexed as

Lupus Erythematosus, SystemicMyeloid-Derived Suppressor CellsNeoplasmsNeutrophilsAnimalsBiomarkersCytokinesExtracellular TrapsHumansInflammationBiomarkersCytokinescancerinflammationNETosisneutrophilSLE

Identifiers

PMID41404190
PMCPMC12703410

What OpenQuestion holds

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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.