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Serum alanine aminotransferase/aspartate aminotransferase ratio is one of the best markers of insulin resistance in the Chinese population

Overview of attention for article published in Nutrition & Metabolism, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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1 news outlet
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2 Facebook pages

Citations

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33 Dimensions

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42 Mendeley
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Title
Serum alanine aminotransferase/aspartate aminotransferase ratio is one of the best markers of insulin resistance in the Chinese population
Published in
Nutrition & Metabolism, October 2017
DOI 10.1186/s12986-017-0219-x
Pubmed ID
Authors

Li Zhao, Jing Cheng, Yingchao Chen, Qin Li, Bing Han, Yi Chen, Fangzhen Xia, Chi Chen, Dongping Lin, Xuemei Yu, Ningjian Wang, Yingli Lu

Abstract

The alanine aminotransferase (ALT)/aspartate aminotransferase (AST) ratio is reportedly associated with insulin resistance (IR). However, few studies have explored the relationship between the ALT/AST ratio and IR in the Chinese population. Here, we aimed to explore whether the ALT/AST ratio is associated and, if so, to what extent, with IR in the Chinese population as categorized by waist circumference (WC). Our data were obtained from the SPECT-China study, a cross-sectional survey on the prevalence of metabolic diseases and risk factors in East China from 2014 to 2015. A total of 8398 participants aged 52.16 ± 13.16 (mean ± standard deviation) years were included in this study. Anthropometric indices, biochemical parameters and clinical characteristics were measured. IR was defined as the top quartile of the homeostasis model assessment of insulin resistance (HOMA-IR > 1.6), and central obesity was defined as a WC ≥90 cm in males or ≥80 cm in females. Linear regression and receiver operating characteristic curve analyses were conducted. The ALT/AST ratio was significantly correlated and associated with HOMA-IR in both non-centrally obese (r = 0.284, B = 0.509, 95% confidence interval (CI): 0.459-0.559, P < 0.001) and centrally obese subjects (r = 0.372, B = 0.607, 95%CI: 0.532-0.683, P < 0.001) after adjusting for potential confounders. The ALT/AST ratio was one of the best markers of IR, with areas under the curve (AUC) values of 0.66 (0.64-0.68) in non-centrally and 0.68 (0.66-0.70) in centrally obese subjects. In the prediction model for IR, the AUCs were significantly augmented after adding the ALT/AST ratio in both non-centrally obese [AUC 95%CI 0.69(0.67-0.71) vs 0.72(0.70-0.74), P<0.001] and central obese [AUC 95%CI 0.69(0.67-0.71) vs 0.73(0.72-0.75), P<0.001] subjects. The optimal cut-off points of the ALT/AST ratio for identifying IR were 0.80 in non-centrally obese people and 0.78 in centrally obese people, respectively. The ALT/AST ratio may be one of the best markers for IR in the Chinese population. Whether the ALT/AST ratio should be regarded as an additional metabolic syndrome component in the Chinese population warrants further investigation.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Bachelor 5 12%
Other 3 7%
Student > Postgraduate 3 7%
Student > Doctoral Student 2 5%
Other 7 17%
Unknown 15 36%
Readers by discipline Count As %
Medicine and Dentistry 12 29%
Nursing and Health Professions 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Agricultural and Biological Sciences 2 5%
Other 4 10%
Unknown 16 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 September 2021.
All research outputs
#4,083,671
of 23,005,189 outputs
Outputs from Nutrition & Metabolism
#341
of 950 outputs
Outputs of similar age
#73,757
of 324,392 outputs
Outputs of similar age from Nutrition & Metabolism
#4
of 12 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 950 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.7. This one has gotten more attention than average, scoring higher than 64% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 324,392 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.