Open Access
Adipose tissue modification through feeding strategies and their implication on adipogenesis and adipose tissue metabolism in ruminants
(MDPI, 2020) Urrutia Vera, Olaia; Mendizábal Aizpuru, José Antonio; Alfonso Ruiz, Leopoldo; Soret Lafraya, Beatriz; Insausti Barrenetxea, Kizkitza; Arana Navarro, Ana; Agronomia, Bioteknologia eta Elikadura; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD; Agronomía, Biotecnología y Alimentación; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
Dietary recommendations by health authorities have been advising of the importance of diminishing saturated fatty acids (SFA) consumption and replacing them by polyunsaturated fatty acids (PUFA), particularly omega-3. Therefore, there have been efforts to enhance food fatty acid profiles, helping them to meet human nutritional recommendations. Ruminant meat is the major dietary conjugated linoleic acid (CLA) source, but it also contains SFA at relatively high proportions, deriving from ruminal biohydrogenation of PUFA. Additionally, lipid metabolism in ruminants may differ from other species. Recent research has aimed to modify the fatty acid profile of meat, and other animal products. This review summarizes dietary strategies based on the n-3 PUFA supplementation of ruminant diets and their effects on meat fatty acid composition. Additionally, the role of n-3 PUFA in adipose tissue (AT) development and in the expression of key genes involved in adipogenesis and lipid metabolism is discussed. It has been demonstrated that linseed supplementation leads to an increase in alpha-linolenic acid (ALA) and eicosapentaenoic acid (EPA), but not in docosahexaenoic acid (DHA), whilst fish oil and algae increase DHA content. Dietary PUFA can alter AT adiposity and modulate lipid metabolism genes expression, although further research is required to clarify the underlying mechanism.
Open Access
Expression of key myogenic, fibrogenic and adipogenic genes in Longissimus thoracis and masseter muscles in cattle
(Cambridge University Press, 2020) Martínez del Pino, Lara; Urrutia Vera, Olaia; Arana Navarro, Ana; Alfonso Ruiz, Leopoldo; Mendizábal Aizpuru, José Antonio; Soret Lafraya, Beatriz; Agronomia, Bioteknologia eta Elikadura; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD; Agronomía, Biotecnología y Alimentación
Adipogenesis, myogenesis and fibrogenesis are related processes that can contribute to meat quality. Therefore, extending the knowledge of these processes would facilitate the identification of molecular markers that predict intramuscular fat accretion. The main purpose of this work, based on previous results, was to further study the expression of key genes related to adipogenic, myogenic, fibrogenic processes and some cytokines in Longissimus thoracis (LT) and Masseter (MS) muscles of Pirenaica and Holstein young bulls. Longissimus thoracis and MS muscles from Pirenaica (n = 4) and Spanish Holstein (n = 4) were sampled for proximate analysis, determination of adipocyte size distribution and expression of key candidate genes. Fat percentage was lower in LT than in MS muscle in Pirenaica young bulls (P = 0.023) and was higher in LT muscle in Holstein than in Pirenaica young bulls (P = 0.007). Gene expression analysis revealed that the mRNA level of myogenic differentiation 1 (MYOD) was higher in LT than in MS muscles in both groups of animals (P < 0.001) and that myostatin (MSTN) expression was also higher in LT than in MS muscle in Holstein bulls (P = 0.001). On the other hand, MSTN and PPARG showed higher expression in LT and MS in Pirenaica young bulls (P = 0.026), while the expression of fatty acid-binding protein 4 (FABP4) was higher in Holstein young bulls, also in both muscles (P < 0.001). The results suggested that the development of intramuscular adipose depot was directly related to the expression of adipogenic genes, such as FABP4, but inversely related to the expression of the cytokine MSTN and the myogenic gene MYOD, genes which showed a muscle-specific expression.
Open Access
Preservation of milk in liquid nitrogen during sample collection does not affect the RNA quality for RNA-seq analysis
(BMC, 2025-05-24) Jiménez Montenegro, Lucía; Alfonso Ruiz, Leopoldo; Soret Lafraya, Beatriz; Mendizábal Aizpuru, José Antonio; Urrutia Vera, Olaia; Agronomía, Biotecnología y Alimentación; Agronomia, Bioteknologia eta Elikadura; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa; Gobierno de Navarra / Nafarroako Gobernua
Background. Standard procedures for milk sample collection for transcriptome analysis use ice as preservation method, which can afect the RNA stability and requires immediate sample processing. These problems would be eased if the milk samples could be snap-frozen in liquid nitrogen. This study describes the applicability of a new method for milk sample collection and subsequent RNA extraction from milk fat globules, determining whether the quality, integrity and quantity of the RNA extracts met the minimum requirements for downstream RNA-seq. Results. The quality of the extracts measured by A260/280 ratio and the Integrity and Quality (IQ) values obtained fulflled the reference values of 1.9 - 2.1 (P10.05) and failed to meet the RIN≥7 benchmark for RNA-seq (P>0.05). Milk fat globules contain low molecular-weight RNA fragments and minimal 18S and 28S rRNA, suggesting low RIN values were inherent to sample type. Likewise, the RNA concentration from milk fat globules were generally low (120.43±22.27 ng/µL, 102.87±15.64 ng/µL and 109.43±22.69 ng/µL, measured by Nanodrop, Qubit HS and QuanTI Ribogreen, respectively). Nevertheless, RNA-seq yielded 52.7 million paired-end reads per sample. The raw reads passed all quality control parameters having the same sequence-read lengths (151 bp), 100% base-coverage, 49% GC base content, and base quality scores of 36, enabling successful transcriptome profling. Moreover, milk proteins were identifed as the most abundant transcripts in MFG in the analysis of the most expressed genes, indicating that the sequenced reads would accurately refect the transcriptome of this milk fraction. Conclusions. Milk preservation in liquid nitrogen is a suitable sample collection method that overcomes the limitations of immediate sample processing required if ice is used. Thus, this procedure, together with the subsequent RNA isolation from milk fat globules and its sequencing by RNA-seq, would provide a practical and a non-invasive method for measuring the mammary epithelial cell transcriptome, improving the feasibility of conducting studies related to mammary gland and lactation physiology.
Open Access
Indicators and recommendations for assessing sustainable healthy diets
(MDPI, 2021) Martínez Aldaya, Maite; Ibáñez Moya, Francisco C.; Domínguez-Lacueva, Paula; Murillo Arbizu, María Teresa; Rubio Varas, María del Mar; Soret Lafraya, Beatriz; Beriain Apesteguía, María José; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD; Institute for Advanced Research in Business and Economics - INARBE
Research coupling human nutrition and sustainability concerns is a rapidly developing field, which is essential to guide governments' policies. This critical and comprehensive review analyzes indicators and approaches to 'sustainable healthy diets' published in the literature since this discipline's emergence a few years ago, identifying robust gauges and highlighting the flaws of the most commonly used models. The reviewed studies largely focus on one or two domains such as greenhouse gas emissions or water use, while overlooking potential impact shifts to other sectors or resources. The present study covers a comprehensive set of indicators from the health, environmental and socio-economic viewpoints. This assessment concludes that in order to identify the best food option in sustainability assessments and nutrition analysis of diets, some aspects such as the classification and disaggregation of food groups, the impacts of the rates of local food consumption and seasonality, preservation methods, agrobiodiversity and organic food and different production systems, together with consequences for low-income countries, require further analysis and consideration.
Open Access
Predicting beef carcass fatness using an image analysis system
(MDPI, 2021) Mendizábal Aizpuru, José Antonio; Ripoll, Guillermo; Urrutia Vera, Olaia; Insausti Barrenetxea, Kizkitza; Soret Lafraya, Beatriz; Arana Navarro, Ana; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD
The amount and distribution of subcutaneous fat is an important factor affecting beef carcass quality. The degree of fatness is determined by visual assessments scored on a scale of five fatness levels (the SEUROP system). New technologies such as the image analysis method have been developed and applied in an effort to enhance the accuracy and objectivity of this classification system. In this study, 50 young bulls were slaughtered (570 ± 52.5 kg) and after slaughter the carcasses were weighed (360 ± 33.1 kg) and a SEUROP system fatness score assigned. A digital picture of the outer surface of the left side of the carcass was taken and the area of fat cover (fat area) was measured using an image analysis system. Commercial cutting of the carcasses was performed 24 h post-mortem. The fat trimmed away on cutting (cutting fat) was weighed. A regression analysis was carried out for the carcass cutting fat (y-axis) on the carcass fat area (x-axis) to establish the accuracy of the image analysis system. A greater accuracy was obtained by the image analysis (R2 = 0.72; p < 0.001) than from the visual fatness scores (R2 = 0.66; p > 0.001). These results show the image analysis to be more accurate than the visual assessment system for predicting beef carcass fatness.
Open Access
Food banks against climate change, a solution that works: a case study in Navarra, Spain
(MDPI, 2022) González Peñalver, José Miguel; Armijos Piedra, María Alejandra; Soret Lafraya, Beatriz; Martínez Aldaya, Maite; Agronomía, Biotecnología y Alimentación; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD; Agronomia, Bioteknologia eta Elikadura
Worldwide, more than 1.3 billion tonnes of food are wasted each year, which is equivalent to releasing 4.4 Gt of CO2 equivalents (CO2e). In this context, the Food Bank of Navarra (FBN) annually avoids the waste of approximately 3000 tons of perfectly consumable food. The aim of this study was twofold: on the one hand, to analyse the carbon footprint of the FBN and, on the other hand, to perform a comparative analysis of the greenhouse gas (GHG) emissions in two scenarios, “with” and “without” the actions of the FBN, in order to identify and quantify the environmental benefits, in terms of GHG emissions reduction, associated with the reduction in food waste. The analyses were conducted in two different years. The carbon footprint associated with the FBN’s activities was 147 t of CO2e in the year 2018. The quantification of GHGs in the scenario “without the FBN” showed that if the FBN did not exist 4715 t of CO2e would have been emitted. The results obtained in consecutive years were similar, highlighting the importance of the FBN—not only in social terms but also environmental terms—as it prevented a large amount of GHGs from being emitted into the atmosphere. A detailed account of the carbon emission reduction associated with the food bank’s operations and the knowledge of the benefits involved could boost their positive effects in facilitating the integration of their activities into policies aimed at climate neutrality.