Evidence map›Paper›PMID 32186942›Full record

ArticleJournal of dental research2020

Single-Cell Analysis of the Periodontal Immune Niche in Type 2 Diabetes.

A C Belkina, M Azer, J J Lee, H H Elgaali, R Pihl, M Cleveland, J Carr, S Kim, C Habib, H Hasturk and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of dental research, 2020. 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
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. M2 Macrophage-Derived Extracellular Vesicles Reprogram Immature Neutrophils into Anxa1Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  3. Review
  4. Lower Serum IL-10 Linked to Oral Manifestations in Diabetes Patients.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. 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

12 authors at 2 institutions in 1 country.

A C BelkinaDepartment of Pathology and Laboratory Medicine, School of Medicine, Boston University, Boston, MA, USA.ORCID 0000-0001-7967-6254
M AzerDepartment of Oral Biology, Goldman School of Dental Medicine, Boston University, Boston, MA, USA.
J J LeeDepartment of Pharmacology and Nutritional Sciences and Barnstable Brown Diabetes and Obesity Research Center, University of Kentucky, Lexington, KY, USA.
H H ElgaaliDepartment of Pharmacology and Nutritional Sciences and Barnstable Brown Diabetes and Obesity Research Center, University of Kentucky, Lexington, KY, USA.
R PihlFlow Cytometry Core Facility, School of Medicine, Boston University, Boston, MA, USA.
M ClevelandDepartment of Pharmacology and Nutritional Sciences and Barnstable Brown Diabetes and Obesity Research Center, University of Kentucky, Lexington, KY, USA.
J CarrDepartment of Microbiology, School of Medicine, Boston University, Boston, MA, USA.
S KimDepartment of Medicine, School of Medicine, Boston University, Boston, MA, USA.
C HabibDepartment of Medicine, School of Medicine, Boston University, Boston, MA, USA.
H HasturkThe Forsyth Institute, Cambridge, MA, USA.
J E Snyder-CappioneFlow Cytometry Core Facility, School of Medicine, Boston University, Boston, MA, USA.
B S NikolajczykDepartment of Pharmacology and Nutritional Sciences and Barnstable Brown Diabetes and Obesity Research Center, University of Kentucky, Lexington, KY, USA.ORCID 0000-0001-5647-5740
Boston University · USUniversity of Kentucky · US

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI LARRY K BROWN · 1998 to 2026
$51.7M
University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI KATHLEEN L. O'CONNOR · 2013 to 2026
$38.3M
Roles for lymphocyte RANKL in periodontal complications of type 2 diabetesR01DE025383 · NIDCR · UNIVERSITY OF KENTUCKY · PI NIKOLAJCZYK, BARBARA, VAN DYKE, THOMAS ELLIOTT · 2016 to 2017
$1.2M
NCI NIH HHS P30 CA177558NIAID NIH HHS P30 AI042853NIDCR NIH HHS R01 DE025383
6 · The paper itself

Abstract

Periodontitis (PD) is a common source of uncontrolled inflammation in obesity-associated type 2 diabetes (T2D). PD apparently fuels the inflammation of T2D and associates with poor glycemic control and increased T2D morbidity. New therapeutics are critically needed to counter the sources of periodontal infection and inflammation that are accelerated in people with T2D. The precise mechanisms underlying the relationship between PD and T2D remain poorly understood. Every major immune cell subset has been implicated in the unresolved inflammation of PD, regardless of host metabolic health. However, analyses of inflammatory cells in PD with human periodontal tissue have generally focused on mRNA quantification and immunohistochemical analyses, both of which provide limited information on immune cell function. We used a combination of flow cytometry for cell surface markers and enzyme-linked immunospot methods to assess the subset distribution and function of immune cells isolated from gingiva of people who had PD and were systemically healthy, had PD and T2D (PD/T2D), or, for flow cytometry, were systemically and orally healthy. T-cell subsets dominated the cellular immune compartment in gingiva from all groups, and B cells were relatively rare. Although immune cell frequencies were similar among groups, a higher proportion of CD11b

Indexed as

Diabetes Mellitus, Type 2AdultFemaleGingivaHumansInflammationMaleMiddle AgedPeriodontitisSingle-Cell Analysiscytokinesgingivainflammationobesityperiodontal disease

Identifiers

PMID32186942
PMCPMC7313350
OpenAlexW3012072506

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.