Evidence map›Paper›PMID 40828357›Full record

ReviewInflammopharmacology2025

Regulation of toll-like receptor signaling pathways in age-related eye disease: from mechanisms to targeted therapeutics.

Qiaoqiao Kong, Yixiang Jiang, Xiang Li, Xuejing Lu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Inflammopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

4 authors.

Qiaoqiao KongChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Yixiang JiangChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Xiang LiChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. jeannelxiang@126.com.
Xuejing LuChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China. luxuejing@cdutcm.edu.cn.ORCID http://orcid.org/0009-0006-2119-0925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is a significant risk factor for various ophthalmic diseases, which can lead to vision loss. With the worldwide elderly population expanding, it is essential for researchers to elucidate the mechanisms underlying the progression of ocular diseases and to ascertain methods for their prevention or deceleration. The five principal age-related eye disorders (AREDs) consist of glaucoma, dry eye syndrome (DES), diabetic retinopathy (DR), cataracts, and age-related macular degeneration (AMD). A sustained subclinical low-grade inflammation has been observed at the ocular surface of elderly individuals who identify as "healthy." In these instances, an imbalance in para-inflammatory processes, which are essential for preserving tissue homeostasis in response to environmental injuries or insults, results in ocular surface system dysfunction, commonly referred to as InflammAging. Corneal and conjunctival epithelial cells express a variety of immune-related recognition receptors, including toll-like receptors (TLRs). At the ocular surface, TLRs play an active role in immunological instruction and innate defense mechanisms. The function of TLRs in AREDs is summarized here. In addition to discussing potential solutions and challenges in the clinical use of TLR inhibitors, future challenges will also be addressed.

Indexed as

AgingEye DiseasesSignal TransductionToll-Like ReceptorsAnimalsDry Eye SyndromesHumansInflammationToll-Like ReceptorsAge-related eye diseasesCataractDiabetic retinopathyMacular degenerationToll-like receptor

Identifiers

PMID40828357

What Socratic 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 Socratic graph.