Evidence mapPaperPMID 42045024Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2026

[

Jiarun Xie, Yanyu Luo, Jinjin Xia, Ming Wang

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiarun XieSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.
Yanyu LuoSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.
Jinjin XiaDepartment of Traditional Chinese Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
Ming WangSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510515, China.

Funding

National Natural Science Foundation of China 82374271 and 82574746
6 · The paper itself

Abstract

objectivesTo investigate the therapeutic effect of

methodsThe immunogenes differentially expressed in renal tubular epithelial cells (HK-2) induced by late glycosylation end products were screened using GSE193192 dataset from GEO database and the pharmacological mechanisms were predicted. Male ICR mouse models of DKD established by high-fat feeding for 4 weeks and intraperitoneal streptozotocin injection for 5 days were randomized for treatment with low (14.46 g/kg), medium (28.92 g/kg) and high (57.84 g/kg) doses of QISD via gavage for 12 weeks, with dapagliflozin as the positive control drug (

resultsQISD treatment significantly lowered serum levels of glycated serum protein, creatinine and urea nitrogen, reduced glycogen accumulation, attenuated glomerular hypertrophy, and decreased renal inflammatory infiltration in DKD mouse models. QISD also reduces the expression levels of KDM3C, SP1, TNF‑α and MCP-1 in the kidney tissues of the mice. In LPS-induced HK-2 cells, the application of JIB-04, an inhibitor of KDM3C, obviously suppressed the expression levels of the inflammatory factors including TNF‑α, MCP-1 and ICAM-1.

conclusionsQISD can ameliorate renal injury in DKD mice by inhibiting inflammatory response

Indexed as

Diabetic NephropathiesDrugs, Chinese HerbalAnimalsCell LineDiabetes Mellitus, ExperimentalHumansMaleMiceMice, Inbred ICRSeedsSignal TransductionTumor Necrosis Factor-alphaDrugs, Chinese HerbalTumor Necrosis Factor-alphadatabase analysisdiabetic kidney diseaseinflammationJia Wei Qingxin Lotus Seed DrinkKDM3C/SP1 signaling pathway

Identifiers

PMID42045024
PMCPMC13120983

What Socratic holds

Textmetadata
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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.