Evidence map›Paper›PMID 31391719›Full record

ArticleIndian journal of clinical biochemistry : IJCB2019

Caffeic Acid Modulates miR-636 Expression in Diabetic Nephropathy Rats.

Ahmed M Salem, Aya S Ragheb, Marwa G A Hegazy, Marwa Matboli, Sanaa Eissa

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PubMed Full text at PMC Publisher
In one paragraph

Article in Indian journal of clinical biochemistry : IJCB, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 33 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ahmed M Salem1Biochemistry Department, Faculty of Science, Ain Shams University, Abbassia, Cairo, Egypt.
Aya S Ragheb1Biochemistry Department, Faculty of Science, Ain Shams University, Abbassia, Cairo, Egypt.
Marwa G A Hegazy1Biochemistry Department, Faculty of Science, Ain Shams University, Abbassia, Cairo, Egypt.
Marwa Matboli2Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, P.O. box 1138, Abbassia, Cairo, Egypt.
Sanaa Eissa2Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Ain Shams University, P.O. box 1138, Abbassia, Cairo, Egypt.
Ain Shams University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the action of caffeic acid in regulating miR-636 expression level in kidney of streptozotocin-induced diabetic rats. Streptozotocin-induced diabetic rats were orally treated with caffeic acid at 40 mg/kg/day for 8 weeks. At the end of the treatment, body and kidney weight and blood glucose levels were determined, blood, urine, and kidneys were collected for biochemical and histological examination. Expression levels of miR-636 were determined in liver by qRT-PCR. Induction of diabetic nephropathy by streptozotocin was evidenced by displayed elevated levels of serum creatinine, blood urea nitrogen, microalbuminuria and urinary albumin/creatinine ratio in addition to renal hypotrophy. Caffeic acid (CA) can ameliorate renal damage and significantly decreased the fasting blood glucose, cholesterol and triglyceride in diabetic rats. CA treatment improved histological architecture in the diabetic kidney. CA significantly down regulate miR-636 expression level in the kidney of diabetic rats in comparison to healthy group. Overall, caffeic acid down regulates miR-636 expression level which is involved in development of diabetic nephropathy and might therefore be potential attractive therapeutic agent to pursue in DN.

Indexed as

Caffeic acidDiabetic nephropathymiRNA

Identifiers

PMID31391719
PMCPMC6660537
OpenAlexW2794214849

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.