Evidence map›Paper›PMID 29747616›Full record

Trial reportBMC endocrine disorders2018

Association of retinol binding protein 4 and transthyretin with triglyceride levels and insulin resistance in rural thais with high type 2 diabetes risk.

Karunee Kwanbunjan, Pornpimol Panprathip, Chanchira Phosat, Noppanath Chumpathat, Naruemon Wechjakwen, Somchai Puduang, Ratchada Auyyuenyong, Ina Henkel, Florian J Schweigert

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC endocrine disorders, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

22 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  4. Circulating transthyretin and retinol binding protein 4 levels among middle-age V122IAmyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis · 2024
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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

9 authors at 6 institutions in 2 countries.

Karunee KwanbunjanDepartment of Tropical Nutrition and Food Science, Faculty of Tropical Medicine, Mahidol University, Bangkok, 10400, Thailand. karunee.kwa@mahidol.ac.th.
Pornpimol PanprathipDepartment of Tropical Nutrition and Food Science, Faculty of Tropical Medicine, Mahidol University, Bangkok, 10400, Thailand.
Chanchira PhosatDepartment of Nutrition, Faculty of Public Health, Mahidol University, Bangkok, 10400, Thailand.
Noppanath ChumpathatFaculty of Nursing, Huachiew Chalermprakiet University, Samut Prakan, 10540, Thailand.
Naruemon WechjakwenFaculty of Public Health, Nakhonratchasima Rajabhat University, Nakhon Ratchasima, 30000, Thailand.
Somchai PuduangDepartment of Tropical Nutrition and Food Science, Faculty of Tropical Medicine, Mahidol University, Bangkok, 10400, Thailand.
Ratchada AuyyuenyongDepartment of Food Business and Nutrition, Faculty of Agriculture, Ubon Ratchathani Rajabhat University, Ubon Ratchathani, 34000, Thailand.
Ina HenkelInstitute of Nutritional Science, University of Potsdam, 14558, Potsdam, Germany.
Florian J SchweigertInstitute of Nutritional Science, University of Potsdam, 14558, Potsdam, Germany.
Mahidol Oxford Tropical Medicine Research Unit · THUniversity of Potsdam · DEHuachiew Chalermprakiet University · THMahidol University · THNakhon Ratchasima Rajabhat University · THUbon Ratchathani Rajabhat University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRetinol binding protein 4 (RBP4), a protein secreted by adipocytes and bound in plasma to transthyretin (TTR), has been associated with obesity, the early phase of insulin resistance, metabolic syndrome, and type 2 diabetes mellitus. The objective of this study was to elucidate the relationship between RBP4, TTR, triglyceride (TG) and type 2 diabetes risk in rural Thailand.

methodsWe measured the serum RBP4, TTR, glucose, triglyceride and insulin levels, and glucose tolerance of 167 volunteers from Sung Noen District, Nakhon Ratchasima Province, Thailand. Student's t-test, Pearson's correlation and logistic regression analysis were used to evaluate the relationships between RBP4, TTR and type 2 diabetes markers.

resultsRBP4 and TTR levels, as well as homeostatic model assessment of insulin resistance (HOMA-IR) values, were significantly elevated among subjects with high triglyceride levels (p < 0.01, p < 0.05, p < 0.05, respectively). Triglyceride levels correlated with RBP4 (r = 0.34, p < 0.001) and TTR (r = 0.26, p < 0.01) levels, as well as HOMA-IR values (r = 0.16, p < 0.05). After adjustment for age and gender, the risk of hypertriglyceridemia was 3.7 times greater (95% CI =1.42-9.73, p = 0.008) in the highest RBP4 tertile as compared to the lowest tertile. Similarly, the highest TTR and HOMA-IR tertiles had greater risk of hypertriglyceridemia at 3.5 (95% CI = 1.30-9.20, p = 0.01) and 3.6 (95% CI = 1.33-9.58, p = 0.01) times higher than the respective lowest tertiles. The correlation between TTR and blood glucose was statistically significant (r = 0.18, p < 0.05), but not found this relationship in RBP4.

conclusionsThe associations of RBP4 and TTR with hypertriglyceridemia and insulin resistance may have important implications for the risk of heart disease and stroke.

Indexed as

AdultAgedBiomarkersCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansHypertriglyceridemiaInsulin ResistanceMaleMetabolic SyndromeMiddle AgedPrealbuminPrediabetic StatePrognosisBiomarkersPrealbuminRBP4 protein, humanRetinol-Binding Proteins, PlasmaTriglyceridesHOMA-IRHypertriglyceridemiaRBP4TTRType 2 diabetes

Identifiers

PMID29747616
PMCPMC5946392
OpenAlexW2806853348

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.