Evidence map›Paper›PMID 26824038›Full record

ReviewJournal of diabetes research2016

Immune Cells and Inflammation in Diabetic Nephropathy.

Zihan Zheng, Feng Zheng

Open access · goldAbstract readReview
In one paragraph

Review in Journal of diabetes research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

88 citing papers in PubMed, 1 synthesis or guideline pooled it, 128 citations in OpenAlex.

  1. Pooled it
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  6. Aging-related CD8PeerJ · 2026
    Article
  7. CD4Frontiers in immunology · 2026
    Review
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28 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

Zihan ZhengCollege of Arts and Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
Feng ZhengDepartment of Nephrology, Advanced Institute for Medical Sciences, Second Hospital, Dalian Medical University, Dalian 116023, China; Department of Nephrology and Basic Science Laboratory, Fujian Medical University, Fuzhou 350002, China.
Fujian Medical University · CNUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetic nephropathy (DN) is a serious complication of diabetes. At its core, DN is a metabolic disorder which can also manifest itself in terms of local inflammation in the kidneys. Such inflammation can then drive the classical markers of fibrosis and structural remodeling. As a result, resolution of immune-mediated inflammation is critical towards achieving a cure for DN. Many immune cells play a part in DN, including key members of both the innate and adaptive immune systems. While these cells were classically understood to primarily function against pathogen insult, it has also become increasingly clear that they also serve a major role as internal sensors of damage. In fact, damage sensing may serve as the impetus for much of the inflammation that occurs in DN, in a vicious positive feedback cycle. Although direct targeting of these proinflammatory cells may be difficult, new approaches that focus on their metabolic profiles may be able to alleviate DN significantly, especially since dysregulation of the local metabolic environment may well be responsible for triggering inflammation to begin with. In this review, the authors consider the metabolic profile of several relevant immune types and discuss their respective roles.

Indexed as

Adaptive ImmunityAnimalsAntigen-Presenting CellsDiabetic NephropathiesFibrosisHumansImmunity, InnateInflammation MediatorsKidneyNephritisT-Lymphocytes, Helper-InducerInflammation Mediators

Identifiers

PMID26824038
PMCPMC4707326
OpenAlexW2209722659

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.