Evidence map›Paper›PMID 38418797›Full record

ReviewAdvances in experimental medicine and biology2024

Therapeutic Potential of Stem Cells in Natural Killer-Like B Cell-Associated Diseases.

Manali Rupareliya, Pravin Shende

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.7field-weighted citation impact, top 16% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Manali RupareliyaShobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM'S NMIMS, Mumbai, India.
Pravin ShendeShobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM'S NMIMS, Mumbai, India. pravin.shende@nmims.edu.
Narsee Monjee Institute of Management Studies · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cells are undifferentiated cells possessing a remarkable capacity to develop into multiple cell types. NKB cells, referred to "natural killer-like B cells," are recently identified subtype of B lymphocytes possessing characteristics that are similar to both natural killer (NK) cells and regular B lymphocytes. NK cells are lymphocyte-like in structure and cytotoxic in nature participating in the immediate immune response to the infected or malignant cells, whereas B lymphocytes produce antibodies and participate in adaptive immune response by binding to the specific antigen. The identification of NKB cells brings up new possibilities for studying and perhaps modulating immune responses in a variety of diseases, particularly those associated with microbial infections or inflammatory responses. Further, correlation of NKB cells with interleukins allows us to understand the molecular mechanism of diseases. Stem cell research offers a better understanding of NKB cell participation and provides new insights for novel treatment methods wherein mesenchymal stem cells (MSCs) have found to be the most promising stem cell showing positive outcomes in NKB cell-associated inflammatory diseases. Additionally, the perceptions acquired from researching NKB cells in diverse diseases leads to innovative treatment options, improving our capacity to control and cure immunological dysregulation-related ailments.

Indexed as

B-LymphocytesKiller Cells, NaturalAnimalsHumansMesenchymal Stem CellsMesenchymal Stem Cell TransplantationIL-12IL-18Natural killer–like B cellsStem cells

Identifiers

PMID38418797
OpenAlexW4392251401

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.