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SYSTEMATIC REVIEW article

Front. Vet. Sci., 15 March 2023
Sec. Animal Nutrition and Metabolism
Volume 10 - 2023 | https://doi.org/10.3389/fvets.2023.1105754

Effects of vitamin A on intramuscular fat development in beef cattle: A meta-analysis

Wei Li1 Fang Wang2* Fang Sun3 Yongli Qu4 Chunhai Liu5 Yongsheng Han1 Hongbao Wang1 Botao Jiang1 Peng Zhong1 Jiahui Wang1 Xueying Song1 Meng Huang1 Deli Ding1
  • 1Heilongjiang Academy of Agricultural Sciences Livestock Veterinary Branch, Qiqihar, Heilongjiang, China
  • 2Heilongjiang Provincial Key Laboratory of Resistance Gene Engineering and Protection of Biodiversity in Cold Areas, College of Life Sciences and Agroforestry, Qiqihar University, Qiqihar, Heilongjiang, China
  • 3Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, Harbin, China
  • 4College of Animal Science and Technology, Heilongjiang Bayi Agricultural University, Daqing, Heilongjiang, China
  • 5Liaoning FEEDIG Feedstuff Technology Co., Ltd., Xingcheng, Liaoning, China

Vitamin A, a fat-soluble vitamin, is the basic substance required to maintain healthy vision and the main physiological functions of cattle. The results from previous studies regarding the effect of vitamin A on intramuscular fat varied. This meta-analysis aimed to generate a more comprehensive understanding of the relationship between vitamin A and intramuscular fat content and to provide potential clues for future research and commercial practice. Electronic databases such as MEDLINE and Ovid were systematically searched, and studies investigating the relationship between vitamin A and intramuscular fat content were included. Standardized mean differences (SMDs) in intramuscular fat percentage and intramuscular fat score, with their respective 95% confidence intervals (CIs), were calculated. The heterogeneity and publication bias were evaluated. A total of 152 articles were identified through searches of databases. Seven articles were confirmed for inclusion in this meta-analysis. The SMD of IMF percentage derived from the analysis was−0.78 (-2.68, 1.12) (Q = 246.84, p < 0.01). The SMD of the IMF score was 1.25 (-2.75, 5.25) (Q = 87.20, p < 0.01). Our meta-analysis indicates that the addition of vitamin A could decrease intramuscular fat in cattle steers.

Introduction

With improvement in their living standards, people expect good quality beef replete with taste-enhancing features, such as a lean meat rate, nice meat flavor, and sensory satisfaction. Marbling, also known as intramuscular fat, is a collection of white stripes and spots on the surface of a beef muscle (1). The content of beef intermuscular fat has a direct impact on the quality of beef, as it affects its juiciness, tenderness, and flavor (2, 3). When a certain amount of fat is deposited between muscle bundles and muscle fibers, the section of beef is said to have been marbled. The higher the marbling grade, the better the quality of the meat. Vitamin A, a fat-soluble vitamin, is the basic substance required to maintain healthy vision and the main physiological functions of cattle (4). Ruminants can absorb vitamin A from plant sources (such as

carotenoids or provitamin A) and feed additives (such as retinol or retinyl ester or preformed vitamin A) (5). Many physiological functions of vitamin A are realized through the retina and retinoic acid (4). Vitamin A is involved in the formation of nocturnal rhodopsin (rhodopsin), which is necessary for the functioning of normal epithelial cells. Vitamin A and carotenoids show antioxidant activity by scavenging peroxy free radicals and singlet oxygen (6, 7).

Vitamin A has been found to be negatively correlated with the marbling score of Japanese black cattle carcass for the first time (8). Similar studies were conducted in other types of cattle, such as Angus steers, Simmental steers, and Korean native steers (918). Some studies have shown that limiting vitamin A intake increases marbling, but other studies have shown that limiting vitamin A intake does not have a significant effect on marbling. Moreover, the sample sizes of these studies were limited. This meta-analysis aimed to generate a more comprehensive understanding of the relationship between vitamin A and intramuscular fat content and to provide potential clues for future research and commercial practice.

Methods

The meta-analysis was conducted under the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) rather than a self-designed protocol (19). This Review was not registered in the Cochrane database.

Ethics statement

All included studies had already declared ethical approvals in the original articles; therefore, no ethical approval was necessary for this study.

Search strategy and selection criteria

We conducted a comprehensive search of the electronic databases, MEDLINE and Ovid, from inception to 30 November 2021. Only articles in English language were considered.

The following strategy was used for the database research: MEDLINE: (((beef[Title/Abstract]) AND (Intramuscular fat[Title/Abstract])) AND (vitamin[Title/Abstract])). Ovid: (((beef[Title/Abstract]) AND (Intramuscular fat[Title/Abstract])) AND (vitamin[Title/Abstract])). Furthermore, the references in the articles were also screened for any potentially eligible studies. The inclusion criteria for the present study were as follows: (1) studies evaluating the effects of Vitamin A on intramuscular fat in cattle; (2) intramuscular fat percentage (IMF%) and/or intramuscular fat score were used for the measurement of intramuscular fat; (3) results for the vitamin A group and the control group were reported; and (4) the number of cattle in each group, in which mean and standard deviation of indicators were extracted or calculated. The exclusion criteria for the present study were as follows: (1) the data to be analyzed could not be extracted or calculated; (2) articles that were case reports, reviews, letters, news, conference abstracts, and studies regarding other types of animals; (3) the absence of a control group; and (4) duplication or overlap in the research animals. If studies were conducted by an identical research group, those studies with the largest sample size or those studies with the most comprehensive and detailed information were included. Cochrane collaboration's tool for assessing the risk of bias was used to judge the risk of bias for each included study. Two independent researchers (Name) undertook the literature search and study screening. Disagreements were resolved through discussions.

Data extraction and quality assessments

Two investigators (WL and FW) independently performed the title and abstract screening of articles on the basis of the aforementioned inclusion criteria. Then, a full-text evaluation of the studies was conducted for the final inclusion. Moreover, the following information about each included study was extracted from or calculated based on details such as: first author's name, year of publication, type of steer, study design, total number of steers, weight of steers at the start, addition of vitamin A, and indicators in each group.

Statistical analysis

We used R 4.0.2 software, Review Manager 5.3, and Microsoft Office Excel 2016 software for data collection and statistical analyses at the study level. A p-value of < 0.05 was considered to be statistically significant. We calculated pooled estimates of the standardized mean difference (SMD), the difference between an indicator of the experimental group (steers added with vitamin A) and that of the control group, and the respective 95% confidence intervals (CIs) of each indicator. The Cochran Q values and the I2 statistics were introduced to qualitatively and quantitatively explore the heterogeneity in the included studies. Insignificant, low, moderate, and high heterogeneities were identified to have I2 values of 0–25, 25–50, 50–75, and 75–100%, respectively (20). We created funnel plots to assess potential publication bias. Deek's method was used to statistically check the asymmetry of the funnel plot and detect publication bias. In addition, we conducted an influential analysis to evaluate the impacts of individual study on the overall results.

Results

Study selection and characteristics

A total of 152 articles were identified from the databases searched. Among them, 50 duplicates were removed and 91 studies were excluded through an initial screening. After a full-text assessment of the eligibility of the remaining 11 articles, four studies that might appear to have met the inclusion criteria were excluded due to limited information, eventually leaving seven articles that were identified for inclusion in this meta-analysis. No additional studies were found through bibliography screening of the included articles. Figure 1 shows a detailed flow of the database search and literature selection processes. The risk of bias for each included study was assessed as low (Figure 2; Supplementary Figure 1).

FIGURE 1
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Figure 1. A flowchart of the literature search.

FIGURE 2
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Figure 2. Summary of the risk of bias in the included studies.

Effect of vitamin A on IMF

The SMD of IMF percentage derived from the analysis was−0.78 (-2.68, 1.12) (p = 0.419) (see Figure 3). The SMD of IMF score was 1.25 (-2.75, 5.25) (p = 0.539) (Figure 4).

FIGURE 3
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Figure 3. Forest plots of IMF percentage in the vitamin A and control groups.

FIGURE 4
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Figure 4. Forest plots of IMF score in the vitamin A and control groups.

Heterogeneity and publication bias

In the pooled analysis of IMF percentage, the test of heterogeneity product showed a Q value of 246.84 (p < 0.01). Heterogeneity was observed in the analysis of IMF percentage (I2 = 97.6%, p < 0.01). With regard to the analysis of IMF score, the Q value and I2 were 87.20 and 97.7%, respectively. Deek's tests for publication bias yielded p-values of 0.535 and 0.281 for the analysis of IMF percentage and IMF score, respectively.

Sensitivity analysis

The sensitivity analysis was performed to evaluate the impacts of individual study on the overall results. No outlier was identified in all sensitivity analyses.

Discussion

Owing to the advantages offered by high protein and low fat, beef consumption has been growing rapidly in China. However, because of limitations in variety and the production level, China's high-quality beef, especially high-grade beef, has a low output, a high cost, and a long-term dependence on beef import. Therefore, the marbling grade of beef is the main factor that determines the beef price and affects the purchase decision of consumers. The marbling grade of beef is highly positively correlated with intramuscular fat content, but the traditional methods of increasing intramuscular fat, such as prolonging the fattening period and increasing the proportion of concentrates, are time consuming and costly. Studies showed that vitamin A can inhibit intramuscular fat synthesis in beef cattle, and the possible reasons attributed to the inhibiting action of vitamin A are given as follows: first, retinoic acid, a metabolite of VA, can regulate the differentiation of adipocytes. It has been reported that retinoic acid can inhibit the differentiation of a 3T3 cell line from preadipocytes to mature adipocytes; therefore, VA and its derivatives can inhibit the differentiation and maturation of intramuscular fat (21, 22). In addition, retinoic acid can regulate the expression of a growth hormone gene (23). Akazawa et al. (24) reported that the level of growth hormone in rats lacking VA was low. Akio et al. (25) measured the content of growth hormone in Japanese black and bovine serum. The results of their study showed that a low level of VA significantly affected the normal content of growth hormone, and some experiments showed that a low level of growth hormone could reduce the content of meat. As regards the marbling grade of cattle, retinoic acid may indirectly regulate the deposition of intramuscular fat by increasing the expression of growth hormone gene (25). However, the outcomes of similar investigations were heterogeneous (1218). This study aimed to primarily investigate the effect of vitamin A on intramuscular fat in steers by conducting a meta-analysis.

In this meta-analysis, we first endeavored to complete a detailed and comprehensive literature search in the MEDLINE and Ovid databases to retrieve as many related studies as we could. Two independent reviewers screened the titles, abstracts, and full text of the articles and undertook the process of data extraction. In addition, heterogeneity in the studies included was assessed. Nevertheless, the results displayed significant heterogeneity (p < 0.01) in the studies enrolled. We planned to perform a subgroup analysis and meta-regression to explore the potential source of heterogeneity in the studies enrolled. Unfortunately, we were not able to complete these analyses due to the limited number of studies eligible for the inclusion criteria. Deek's funnel-plot asymmetry tests for publication bias revealed that there was no potential publication bias in the meta-analysis of IMF percentage and IMF score. Sensitivity analysis indicated that the pooled outcomes were robust after omitting one study after another in this meta-analysis. The present study showed that the addition of vitamin A reduced the percentage of intramuscular fat and increased intramuscular fat score in steers. Nevertheless, both the outcomes did not reach a statistical significance. The possible reasons for not achieving statistical significance may be attributed to the different numbers of studies included in each pooled analysis or other confounders, including the type of study design and steers' characteristics. This needs further investigation. Furthermore, significant statistical heterogeneity, which cannot be ignored in the interpretation of the present findings, was detected in this study.

Despite the limitations of the current study, we conclude that the addition of vitamin A could decrease intramuscular fat in cattle steers. More well-designed trials are needed in the future.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

WL and FW conceived and designed this study. FS, YQ, CL, and YH were responsible for the collection, extraction, and analysis of the data. WL, FW, HW, BJ, and PZ were responsible for writing the article. JW, XS, MH, and DD polished the English language. All authors and participants reviewed the article and approved the final manuscript.

Funding

This study received funding from the China Agriculture Research System of MOF and MARA and the Construction Project of Modern Agricultural Technology Collaborative Innovation and Extension System in Heilongjiang Province [Letter from the Heilongjiang Department of Agriculture (2021) No. 1492].

Conflict of interest

CL was employed by Liaoning FEEDIG Feedstuff Technology Co., Ltd.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fvets.2023.1105754/full#supplementary-material

Supplementary Figure 1. Risk of bias graph.

Supplementary Table 1. Study characteristics. NR, not reported.

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Keywords: vitamin A, intramuscular fat, beef cattle, steers, meta-analysis

Citation: Li W, Wang F, Sun F, Qu Y, Liu C, Han Y, Wang H, Jiang B, Zhong P, Wang J, Song X, Huang M and Ding D (2023) Effects of vitamin A on intramuscular fat development in beef cattle: A meta-analysis. Front. Vet. Sci. 10:1105754. doi: 10.3389/fvets.2023.1105754

Received: 23 November 2022; Accepted: 09 February 2023;
Published: 15 March 2023.

Edited by:

Bruno Solis-Cruz, Faculty of Higher Studies Cuautitlán, National Autonomous University of Mexico, Mexico

Reviewed by:

Roberto Senas Cuesta, University of Arkansas, United States
Eduardo Morales, Metropolitan Autonomous University, Mexico

Copyright © 2023 Li, Wang, Sun, Qu, Liu, Han, Wang, Jiang, Zhong, Wang, Song, Huang and Ding. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Fang Wang, wangfangnd@hotmail.com

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