Evidence map›Paper›PMID 38481433›Full record

ArticleResearch and reports in urology2024

The Effects of High Fat Diet on the Incidence of Obesity and Monocyte Chemoattractant Protein-1 Levels on Histological Changes in Prostate Wistar Rats.

Syarif, Haerani Rasyid, Makbul Aman, Gatot Susilo Lawrence, Agussalim Bukhari, Ilhamjaya Patellongi, Husni Cangara, Muhammad Zulharyahya Dandy Asmara Putra

Open access · goldAbstract read
In one paragraph

Article in Research and reports in urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

8 authors at 1 institution in 1 country.

SyarifDivision of Urology, Department of Surgery, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.ORCID 0000-0001-7382-4180
Haerani RasyidDepartment of Internal Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Makbul AmanDepartment of Internal Medicine, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Gatot Susilo LawrenceDepartment of Pathology Anatomy, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Agussalim BukhariDepartment of Clinical Nutrition, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Ilhamjaya PatellongiDepartment of Physiology, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Husni CangaraDepartment of Pathology Anatomy, Faculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.ORCID 0000-0002-5160-8265
Muhammad Zulharyahya Dandy Asmara PutraFaculty of Medicine, Hasanuddin University, Makassar, South Sulawesi, Indonesia.
Hasanuddin University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Benign prostatic hyperplasia (BPH) is a histopathological diagnosis characterized by the increase in stromal cells and epithelial cells of the prostate gland in the transitional zone surrounding the urethra. Obesity is the risk factor of BPH. The most frequent cause of obesity is a high-fat diet (HFD). Obesity and HFD lead to pro-inflammatory conditions. One of the pathomechanisms for the occurrence of BPH is a low-degree inflammatory factor, one of which is the level of monocyte chemoattractant protein-1/MCP-1. This study aims to determine the influence of HFD on the incidence of obesity and inflammatory factors (monocyte chemoattractant protein-1/MCP-1 levels) on the histopathological picture of the prostate. Methods: Experimental research was performed on male Wistar rats with each of the 6 rats given normal fat (ND) and HFD intake and terminated at 8 weeks and 6 rats given each ND and HFD were terminated at 16 weeks. The determination of obesity was determined based on Lee's criteria which were categorized as obese if the Lee index >0.3 and non-obese if ≤0.3. Examination of circulating MCP-1 was carried out by the ELISA method and determination of prostatic hyperplasia was done by calculating the percentage of prostate glands that had a large per-field cystic dilatation on light microscopy examination. All data are analyzed statistically with the Fisher Exact Test and Spearman Correlation Test. Results: Of the 12 rats that were given ND, none of them became obese according to Lee's criteria, on the other hand, of the 12 rats that were given HFD 8 became obese (66.7%, p = 0.001). Serum MCP-1 levels and the percentage of prostate glands that had cystic dilatation were significantly higher in mice receiving HFD than ND; both at week-8 (MCP-1; 18.87 vs 15.66) and (prostate gland experiencing cystic dilatation; 63.46% vs 47.24%) and week-16 (MCP-1; 21.27 vs 21.27) and (prostate gland experiencing cystic dilatation; 67.79% vs 56.39%). Spearman correlation analysis showed that only circulating MCP-1 levels were significantly correlated (p < 0.05) to the percentage of the prostate gland that had cystic dilatation; especially in week 16 (r = 0.713 and p < 0.001). At 8 weeks, it was not statistically significant (r = 0.406 and p = 0.095). Conclusion: High fat intake has been shown to increase the risk of obesity, but obesity does not increase inflammatory status and the incidence of prostate glands with cystic dilatation. On the other hand, high-fat intake increases inflammatory status which in turn causes prostate glands to develop cystic dilatation.

Indexed as

animal modelhigh-fat dietinflammatory statusmonocyte chemoattractant proteinsobesityprostateWistar rat

Identifiers

PMID38481433
PMCPMC10933593
OpenAlexW4392381555

What OpenQuestion holds

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LicenceCC BY-NC
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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 OpenQuestion graph.