Longitudinal association of dietary spermidine with hepatic function indexes and cardiometabolic traits in older adults with metabolic syndrome Article Swipe
Ángel Arturo López‐González
,
Esther Cuadrado‐Soto
,
José M. Ordovás
,
Miguel Ángel Martínez‐González
,
Dolores Corella
,
Jordi Salas-Salvadó
,
Montserrat Fitó
,
J. Alfredo Martínez
,
Ángel M. Alonso‐Gómez
,
Julia Wärnberǵ
,
Jesús Vioqué
,
Dora Romaguera
,
José López‐Miranda
,
Ramon Estruch
,
Francisco J. Tinahones
,
José Lapetra
,
J. Lluís Serra-Majem
,
Aurora Bueno‐Cavanillas
,
Josep A. Tur
,
Vicente Martín
,
Xavier Pintó
,
Miguel Delgado–Rodríguez
,
Pilar Matía‐Martín
,
Josép Vidal
,
Clotilde Vázquez
,
Montserrat Cofán
,
Javier Basterra-Gortari
,
Rebeca Fernández-Carrión
,
Nancy Babió
,
Olga Castañer
,
Diego Martínez‐Urbistondo
,
Lucas Tojal‐Sierra
,
Olga Fernández-Barceló
,
Carolina Ojeda-Belokon
,
Jadwiga Konieczna
,
Antonio P. Arenas-de Larriva
,
Rosa Casas
,
B. Mr
,
Sandra Peláez
,
Miguel Ruiz‐Canela
,
Carolina Ortega‐Azorín
,
Julio Plaza
,
Kenneth J. Vega
,
M. Ángeles Zulet
,
Itziar Salaverria‐Lete
,
Sandra González‐Palacios
,
Zenaida Vázquez‐Ruiz
,
Josué A Pérez-Acosta
,
Víctor de la O
,
Lidia Daimiel
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-7739697/v1
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-7739697/v1
Purpose: Spermidine administration ameliorates hepatic steatosis and cardiometabolic dysfunction in animal models. However, evidence in humans remains limited. We aimed to explore the 1-year longitudinal associations between changes in dietary spermidine intake and hepatic function indexes and cardiometabolic traits in overweight and obese older adults with metabolic syndrome. Methods: We used baseline and 1-year follow-up data from 2664 participantsfrom the PREDIMED-Plus trial. Dietary spermidine intake was estimated using a semi-quantitative food frequency questionnaire. Time series clustering identified temporal patterns of 1-year change in spermidine intake. Linear mixed-effects models assessed the associations between spermidine intake clusters and changes in hepatic and cardiometabolic markers. Results: Three distinct spermidine intake patterns were identified across baseline, six-months and 1-year follow-up. Cluster 3, characterized by the highest baseline and increased 1-year intake, was associated with mean reductions in fatty liver index (-8.97 [-9.96 to -7.97], p-int < 0.001), hepatic steatosis index (-1.88 [-2.13 to -1.63], p-int < 0.001), alanine aminotransferase (-2.93 [-3.83 to -2.02] U/L, p-int < 0.05), aspartate aminotransferase (-1.11 [-1.76 to -0.45] U/L, p-int < 0.05) and glycated hemoglobin levels (-0.14 [-0.18 to -0.10] %, p-int < 0.01), compared to Cluster 1. Cluster 3 also showed, mean decreases in body mass index (-1.26 [-1.37 to -1.15]), waist (-3.72 [-4.11 to -3.32] cm) and hip circumference (-2.33 [-2.67 to -1.99] cm) (all p-int < 0.001). Conclusion: A 1-year increase in dietary spermidine intake was associated with improvements in hepatic function indexes and cardiometabolic traits in overweight and obese older adults with metabolic syndrome. Clinical Trial: Retrospectively registered at the International Standard Randomized Controlled Trial Registry (89898870) on 24th July 2014
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- Type
- preprint
- Landing Page
- https://doi.org/10.21203/rs.3.rs-7739697/v1
- https://www.researchsquare.com/article/rs-7739697/latest.pdf
- OA Status
- gold
- OpenAlex ID
- https://openalex.org/W4415390579
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4415390579Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-7739697/v1Digital Object Identifier
- Title
-
Longitudinal association of dietary spermidine with hepatic function indexes and cardiometabolic traits in older adults with metabolic syndromeWork title
- Type
-
preprintOpenAlex work type
- Publication year
-
2025Year of publication
- Publication date
-
2025-10-21Full publication date if available
- Authors
-
Ángel Arturo López‐González, Esther Cuadrado‐Soto, José M. Ordovás, Miguel Ángel Martínez‐González, Dolores Corella, Jordi Salas-Salvadó, Montserrat Fitó, J. Alfredo Martínez, Ángel M. Alonso‐Gómez, Julia Wärnberǵ, Jesús Vioqué, Dora Romaguera, José López‐Miranda, Ramon Estruch, Francisco J. Tinahones, José Lapetra, J. Lluís Serra-Majem, Aurora Bueno‐Cavanillas, Josep A. Tur, Vicente Martín, Xavier Pintó, Miguel Delgado–Rodríguez, Pilar Matía‐Martín, Josép Vidal, Clotilde Vázquez, Montserrat Cofán, Javier Basterra-Gortari, Rebeca Fernández-Carrión, Nancy Babió, Olga Castañer, Diego Martínez‐Urbistondo, Lucas Tojal‐Sierra, Olga Fernández-Barceló, Carolina Ojeda-Belokon, Jadwiga Konieczna, Antonio P. Arenas-de Larriva, Rosa Casas, B. Mr, Sandra Peláez, Miguel Ruiz‐Canela, Carolina Ortega‐Azorín, Julio Plaza, Kenneth J. Vega, M. Ángeles Zulet, Itziar Salaverria‐Lete, Sandra González‐Palacios, Zenaida Vázquez‐Ruiz, Josué A Pérez-Acosta, Víctor de la O, Lidia DaimielList of authors in order
- Landing page
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https://doi.org/10.21203/rs.3.rs-7739697/v1Publisher landing page
- PDF URL
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https://www.researchsquare.com/article/rs-7739697/latest.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-7739697/latest.pdfDirect OA link when available
- Cited by
-
0Total citation count in OpenAlex
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| abstract_inverted_index.explore | 22 |
| abstract_inverted_index.hepatic | 5, 34, 99, 144, 235 |
| abstract_inverted_index.highest | 122 |
| abstract_inverted_index.indexes | 36, 237 |
| abstract_inverted_index.intake, | 127 |
| abstract_inverted_index.intake. | 85 |
| abstract_inverted_index.models. | 12 |
| abstract_inverted_index.remains | 17 |
| abstract_inverted_index.showed, | 193 |
| abstract_inverted_index.-1.15]), | 203 |
| abstract_inverted_index.</bold>A | 223 |
| abstract_inverted_index.However, | 13 |
| abstract_inverted_index.Registry | 261 |
| abstract_inverted_index.Standard | 257 |
| abstract_inverted_index.assessed | 89 |
| abstract_inverted_index.baseline | 52, 123 |
| abstract_inverted_index.clusters | 95 |
| abstract_inverted_index.compared | 186 |
| abstract_inverted_index.distinct | 105 |
| abstract_inverted_index.evidence | 14 |
| abstract_inverted_index.function | 35, 236 |
| abstract_inverted_index.glycated | 175 |
| abstract_inverted_index.increase | 225 |
| abstract_inverted_index.limited. | 18 |
| abstract_inverted_index.markers. | 102 |
| abstract_inverted_index.patterns | 79, 108 |
| abstract_inverted_index.temporal | 78 |
| abstract_inverted_index.</bold>We | 50 |
| abstract_inverted_index.aspartate | 164 |
| abstract_inverted_index.baseline, | 112 |
| abstract_inverted_index.decreases | 195 |
| abstract_inverted_index.estimated | 67 |
| abstract_inverted_index.follow-up | 55 |
| abstract_inverted_index.frequency | 72 |
| abstract_inverted_index.increased | 125 |
| abstract_inverted_index.metabolic | 47, 248 |
| abstract_inverted_index.steatosis | 6, 145 |
| abstract_inverted_index.syndrome. | 48, 249 |
| abstract_inverted_index.(89898870) | 262 |
| abstract_inverted_index.Controlled | 259 |
| abstract_inverted_index.Randomized | 258 |
| abstract_inverted_index.associated | 129, 231 |
| abstract_inverted_index.clustering | 76 |
| abstract_inverted_index.follow-up. | 116 |
| abstract_inverted_index.hemoglobin | 176 |
| abstract_inverted_index.identified | 77, 110 |
| abstract_inverted_index.overweight | 41, 242 |
| abstract_inverted_index.reductions | 132 |
| abstract_inverted_index.registered | 253 |
| abstract_inverted_index.six-months | 113 |
| abstract_inverted_index.spermidine | 31, 64, 84, 93, 106, 228 |
| abstract_inverted_index.ameliorates | 4 |
| abstract_inverted_index.dysfunction | 9 |
| abstract_inverted_index.associations | 26, 91 |
| abstract_inverted_index.improvements | 233 |
| abstract_inverted_index.longitudinal | 25 |
| abstract_inverted_index.International | 256 |
| abstract_inverted_index.PREDIMED-Plus | 61 |
| abstract_inverted_index.characterized | 119 |
| abstract_inverted_index.circumference | 212 |
| abstract_inverted_index.mixed-effects | 87 |
| abstract_inverted_index.<bold>Clinical | 250 |
| abstract_inverted_index.<bold>Methods: | 49 |
| abstract_inverted_index.<bold>Purpose: | 1 |
| abstract_inverted_index.administration | 3 |
| abstract_inverted_index.questionnaire. | 73 |
| abstract_inverted_index.cardiometabolic | 8, 38, 101, 239 |
| abstract_inverted_index.aminotransferase | 155, 165 |
| abstract_inverted_index.participantsfrom | 59 |
| abstract_inverted_index.</bold>Spermidine | 2 |
| abstract_inverted_index.<bold>Conclusion: | 222 |
| abstract_inverted_index.semi-quantitative | 70 |
| abstract_inverted_index.<bold>Results</bold>: | 103 |
| abstract_inverted_index.</bold>Retrospectively | 252 |
| abstract_inverted_index.<title>Abstract</title> | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 2 |
| institutions_distinct_count | 50 |
| citation_normalized_percentile.value | 0.49162823 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |