The role of low-grade inflammation and metabolic flexibility in aging and nutritional modulation thereof: a systems biology approach

The Elements of Statistical Learning

Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162 · see citing works

NCBI GEO: archive for functional genomics data sets—update

Barrett, T., Wilhite, S. E., Ledoux, P., Evangelista, C., Kim, I. F., Tomashevsky, M., Marshall, K. A., Phillippy, K. H., Sherman, P. M., Holko, M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1193 · Cited by 10,418 · see citing works

Stochastic Processes in Physics and Chemistry

(2007) · Elsevier eBooks · doi:10.1016/b978-0-444-52965-7.x5000-4 · Cited by 9,070 · see citing works

dbSNP: the NCBI database of genetic variation

Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502 · see citing works

Inflamm‐aging: An Evolutionary Perspective on Immunosenescence

FRANCESCHI, C., BONAFÈ, M., VALENSIN, S., OLIVIERI, F., DE LUCA, M., OTTAVIANI, E., & DE BENEDICTIS, G. (2000) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2000.tb06651.x · Cited by 5,358 · see citing works

NF-κB AND REL PROTEINS: Evolutionarily Conserved Mediators of Immune Responses

Ghosh, S., May, M. J., & Kopp, E. B. (1998) · Annual Review of Immunology · doi:10.1146/annurev.immunol.16.1.225 · Cited by 5,182 · see citing works

KEGG for integration and interpretation of large-scale molecular data sets

Kanehisa, M., Goto, S., Sato, Y., Furumichi, M., & Tanabe, M. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr988 · Cited by 4,848 · see citing works

Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

Breiman, L. (2001) · Statistical Science · doi:10.1214/ss/1009213726 · Cited by 4,340 · see citing works

The Elements of Statistical Learning

Hastie, T. J., Tibshirani, R. J., & Friedman, J. H. (2009) · Springer series in statistics · doi:10.1007/b94608 · Cited by 4,111 · see citing works

Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., Aach, J., Ansorge, W., Ball, C. A., Causton, H. C., et al. (2001) · Nature Genetics · doi:10.1038/ng1201-365 · Cited by 4,109 · see citing works

Inflammatory Mechanisms in Obesity

Gregor, M. F., & Hotamisligil, G. S. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101322 · Cited by 3,754 · see citing works

Activators and target genes of Rel/NF-κB transcription factors

Pahl, H. L. (1999) · Oncogene · doi:10.1038/sj.onc.1203239 · Cited by 3,727 · see citing works

The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

Szklarczyk, D., Franceschini, A., Kuhn, M., Simonovic, M., Roth, A. C., Mínguez, P., Doerks, T., Stark, M., Muller, J., Bork, P., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq973 · Cited by 3,469 · see citing works

The pro- and anti-inflammatory properties of the cytokine interleukin-6

Scheller, J., Chalaris, A., Schmidt-Arras, D., & Rose-John, S. (2011) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2011.01.034 · Cited by 3,212 · see citing works

Activators and Target Genes of Rel/NF-кB Transcription Factors

Loop, T., & Pahl, H. L. (2003) · Springer eBooks · doi:10.1007/978-94-010-0163-2_1 · Cited by 3,179 · see citing works

The anti-inflammatory effect of exercise

Petersen, A. M. W., & Pedersen, B. K. (2005) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00164.2004 · Cited by 3,100 · see citing works

The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models

Hucka, M., Finney, A., Sauro, H. M., Bolouri, H., Doyle, J. C., Kitano, H., Arkin, A. P., Bornstein, B. J., Bray, D., Cornish-Bowden, A., et al. (2003) · Bioinformatics · doi:10.1093/bioinformatics/btg015 · Cited by 3,060 · see citing works

Epigenetic modifications and human disease

Portela, A., & Esteller, M. (2010) · Nature Biotechnology · doi:10.1038/nbt.1685 · Cited by 2,843 · see citing works

How should we define health?

Huber, M., Knottnerus, J. A., Green, L., van der Horst, H. E., Jadad, A. R., Kromhout, D., Leonard, B. E., Lorig, K. R., Loureiro, I., Meer, J. W. M. V. D., et al. (2011) · BMJ · doi:10.1136/bmj.d4163 · Cited by 2,644 · see citing works

Stochastic Processes in Physics and Chemistry

Cercignani, C. (2005) · Elsevier eBooks · doi:10.1016/b0-12-369401-9/00623-9 · Cited by 2,143 · see citing works

Inflammaging and anti-inflammaging: a systemic perspective on aging and longevity emerged from studies in humans

Franceschi, C., Capri, M., Monti, D., Giunta, S., Olivieri, F., Sevini, F., Panourgia, M. P., Invidia, L., Celani, L., Scurti, M., et al. (2007) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2006.11.016 · Cited by 2,087 · see citing works

The Proteomics Identifications (PRIDE) database and associated tools: status in 2013

Vizcaíno, J. A., Côté, R. G., Csordas, A., Dianes, J. A., Fabregat, A., Foster, J. M., Griss, J., Alpi, E., Birim, M., Contell, J., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1262 · Cited by 1,918 · see citing works

HMDB: a knowledgebase for the human metabolome

Wishart, D. S., Knox, C., Guo, A. C., Eisner, R., Young, N., Gautam, B., Hau, D., Psychogios, N., Dong, E., Bouatra, S., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn810 · Cited by 1,874 · see citing works

Tumor necrosis factor alpha and interleukin 1 stimulate the human immunodeficiency virus enhancer by activation of the nuclear factor kappa B.

Osborn, L., Kunkel, S. L., & Nabel, G. J. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.7.2336 · Cited by 1,642 · see citing works

BIND--The Biomolecular Interaction Network Database

Bader, G. D. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.242 · Cited by 1,556 · see citing works

InnateDB: systems biology of innate immunity and beyond—recent updates and continuing curation

Breuer, K., Foroushani, A. B. K., Laird, M. R., Chen, C. C. L., Sribnaia, A., Lo, R., Winsor, G. L., Hancock, R. E. W., Brinkman, F. S. L., & Lynn, D. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1147 · Cited by 1,224 · see citing works

Reorganizing the protein space at the Universal Protein Resource (UniProt)

The UniProt Consortium (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr981 · Cited by 1,223 · see citing works

Genome-Wide Detection of Single-Nucleotide and Copy-Number Variations of a Single Human Cell

Zong, C., Lu, S., Chapman, A. R., & Xie, X. S. (2012) · Science · doi:10.1126/science.1229164 · Cited by 1,154 · see citing works

The IntAct molecular interaction database in 2012

Kerrien, S., Aranda, B., Breuza, L., Bridge, A. J., Broackes-Carter, F., Chen, C. C. L., Duesbury, M., Dumousseau, M., Feuermann, M., Hinz, U. G., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1088 · Cited by 1,151 · see citing works

BIND: the Biomolecular Interaction Network Database

Bader, G. D. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg056 · Cited by 1,113 · see citing works

BioNumbers—the database of key numbers in molecular and cell biology

Milo, R., Jorgensen, P., Moran, U., Weber, G., & Springer, M. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp889 · Cited by 1,055 · see citing works

A transposase strategy for creating libraries of circularly permuted proteins

Mehta, M., Liu, S., & Silberg, J. J. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks060 · Cited by 1,042 · see citing works

IL-6 Trans-Signaling via the Soluble IL-6 Receptor: Importance for the Pro-Inflammatory Activities of IL-6

Rose-John, S. (2012) · International Journal of Biological Sciences · doi:10.7150/ijbs.4989 · Cited by 1,040 · cited 1× · see citing works

Nutrient sensing and inflammation in metabolic diseases

Hotamisligil, G. S., & Erbay, E. (2008) · Nature Reviews Immunology · doi:10.1038/nri2449 · Cited by 1,040 · see citing works

Reactome knowledgebase of human biological pathways and processes

Matthews, L., Gopinath, G., Gillespie, M., Caudy, M., Croft, D., de Bono, B., Garapati, P., Hemish, J., Hermjakob, H., Jassal, B., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn863 · Cited by 873 · see citing works

Inflammatory markers in population studies of aging

Singh, T., & Newman, A. B. (2010) · Ageing Research Reviews · doi:10.1016/j.arr.2010.11.002 · Cited by 866 · see citing works

Ensembl 2012

Flicek, P., Amode, M. R., Barrell, D. G., Beal, K. M., Brent, S., Carvalho‐Silva, D., Clapham, P., Coates, G. M. P., Fairley, S., Fitzgerald, S. F., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr991 · Cited by 818 · see citing works

The minimum information about a proteomics experiment (MIAPE)

Taylor, C. F., Paton, N. W., Lilley, K. S., Binz, P., Julian, R. K., Jones, A. R., Zhu, W., Apweiler, R., Aebersold, R. H., Deutsch, E. W., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1329 · Cited by 769 · see citing works

Systems biology properties of reconstructed networks

Palsson, B. Ø. (2006) · Cited by 684 · see citing works

Aging, frailty and age-related diseases

Fülöp, T., Larbi, A., Witkowski, J. M., McElhaney, J. E., Loeb, M. B., Mitnitski, A., & Pawelec, G. (2010) · Biogerontology · doi:10.1007/s10522-010-9287-2 · Cited by 651 · see citing works

Quantitative analysis of cellular inflammation after traumatic spinal cord injury: evidence for a multiphasic inflammatory response in the acute to chronic environment

Beck, K. D., Nguyen, H. X., Galvan, M. D., Salazar, D. L., Woodruff, T. M., & Anderson, A. J. (2010) · Brain · doi:10.1093/brain/awp322 · Cited by 649 · see citing works

MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data

Haug, K., Salek, R. M., Conesa, P., Hastings, J., de Matos, P., Rijnbeek, M. L., Mahendraker, T., Williams, M., Neumann, S., Rocca‐Serra, P., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1004 · Cited by 647 · see citing works

BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models

Li, C., Donizelli, M., Rodriguez, N., Dharuri, H., Endler, L., Chelliah, V., Li, L., He, E., Henry, A., Stefan, M. I., et al. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-92 · Cited by 597 · see citing works

Foundations of Systems Biology

(2001) · The MIT Press eBooks · doi:10.7551/mitpress/3087.001.0001 · Cited by 595 · see citing works

Next-generation genomics: an integrative approach

Hawkins, R. D., Hon, G. C., & Ren, B. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2795 · Cited by 591 · see citing works

Activation of innate immunity system during aging: NF-kB signaling is the molecular culprit of inflamm-aging

Salminen, A., Huuskonen, J., Ojala, J., Kauppinen, A., Kaarniranta, K., & Suuronen, T. (2008) · Ageing Research Reviews · doi:10.1016/j.arr.2007.09.002 · Cited by 581 · see citing works

Inflammatory Disease Processes and Interactions with Nutrition

Calder, P. C., Albers, R., Antoine, J., Blum, S., Bourdet‐Sicard, R., Ferns, G. A., Folkerts, G., Friedmann, P. S., Frost, G. S., Guarner, F., et al. (2009) · British Journal Of Nutrition · doi:10.1017/s0007114509377867 · Cited by 570 · see citing works

Pulsatile Stimulation Determines Timing and Specificity of NF-κB-Dependent Transcription

Ashall, L., Horton, C. A., Nelson, D. E., Paszek, P., Harper, C. V., Sillitoe, K., Ryan, S., Spiller, D. G., Unitt, J. F., Broomhead, D. S., et al. (2009) · Science · doi:10.1126/science.1164860 · Cited by 543 · see citing works

Metabolic flexibility and insulin resistance

Galgani, J. E., Moro, C., & Ravussin, E. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90558.2008 · Cited by 532 · cited 2× · see citing works

ADAM17: a molecular switch to control inflammation and tissue regeneration

Scheller, J., Chalaris, A., Garbers, C., & Rose‐John, S. (2011) · Trends in Immunology · doi:10.1016/j.it.2011.05.005 · Cited by 526 · see citing works

Inflammaging: disturbed interplay between autophagy and inflammasomes

Salminen, A., Kaarniranta, K., & Kauppinen, A. (2012) · Aging · doi:10.18632/aging.100444 · Cited by 511 · see citing works

Innate immunity and inflammation in ageing: a key for understanding age-related diseases

Licastro, F., Candore, G., Lio, D., Porcellini, E., Colonna-Romano, G., Franceschi, C., & Caruso, C. (2005) · Immunity & Ageing · doi:10.1186/1742-4933-2-8 · Cited by 453 · see citing works

The nuclear factor kappa B signaling pathway: integrating metabolism with inflammation

Tornatore, L., Thotakura, A. K., Bennett, J., Moretti, M., & Franzoso, G. (2012) · Trends in Cell Biology · doi:10.1016/j.tcb.2012.08.001 · Cited by 448 · see citing works

The immune system in extreme longevity

Sansoni, P., Vescovini, R., Fagnoni, F. F., Biasini, C., Zanni, F., Zanlari, L., Telera, A. R., Lucchini, G., Passeri, G., Monti, D., et al. (2007) · Experimental Gerontology · doi:10.1016/j.exger.2007.06.008 · Cited by 442 · see citing works

Inflammation and endothelial dysfunction during aging: role of NF-κB

Csiszar, A., Wang, M., Lakatta, E. G., & Ungvari, Z. (2008) · Journal of Applied Physiology · doi:10.1152/japplphysiol.90470.2008 · Cited by 441 · see citing works

Proteomics: a pragmatic perspective

Mallick, P., & Küster, B. (2010) · Nature Biotechnology · doi:10.1038/nbt.1658 · Cited by 428 · see citing works

A Consideration of Biomarkers to be Used for Evaluation of Inflammation in Human Nutritional Studies

Calder, P. C., Ahluwalia, N., Albers, R., Bosco, N., Bourdet-Sicard, R., Haller, D., Holgate, S. T., Jönsson, L. S., Latulippe, M. E., Marcos, A., et al. (2013) · British Journal of Nutrition · doi:10.1017/s0007114512005119 · Cited by 425 · see citing works

BRENDA in 2013: integrated reactions, kinetic data, enzyme function data, improved disease classification: new options and contents in BRENDA

Schomburg, I., Chang, A., Placzek, S., Söhngen, C., Rother, M., Lang, M., Munaretto, C., Ulas, S., Stelzer, M., Grote, A., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1049 · Cited by 418 · see citing works

ArrayExpress update--from an archive of functional genomics experiments to the atlas of gene expression

Parkinson, H., Kapushesky, M., Kolesnikov, N. N., Rustici, G., Shojatalab, M., Abeygunawardena, N., Bérubé, H., Dyląg, M., Emam, I., Farne, A., et al. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn889 · Cited by 418 · see citing works

Role of inflammatory mechanisms in pathogenesis of type 2 diabetes mellitus

Akash, M. S. H., Rehman, K., & Chen, S. (2012) · Journal of Cellular Biochemistry · doi:10.1002/jcb.24402 · Cited by 410 · see citing works

The Virtual Cell: a software environment for computational cell biology

Loew, L. M., & Schaff, J. C. (2001) · Trends in biotechnology · doi:10.1016/s0167-7799(01)01740-1 · Cited by 406 · see citing works

Plasticity and cross-talk of Interleukin 6-type cytokines

Garbers, C., Hermanns, H. M., Schaper, F., Müller‐Newen, G., Grötzinger, J., Rose‐John, S., & Scheller, J. (2012) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2012.04.001 · Cited by 401 · see citing works

Energy metabolism, fuel selection and body weight regulation

Galgani, J. E., & Ravussin, É. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.246 · Cited by 372 · see citing works

Ageing of the human metaorganism: the microbial counterpart

Biagi, E., Candela, M., Fairweather‐Tait, S. J., Franceschi, C., & Brigidi, P. (2011) · AGE · doi:10.1007/s11357-011-9217-5 · Cited by 365 · see citing works

Polyfunctional responses by human T cells result from sequential release of cytokines

Han, Q., Bagheri, N., Bradshaw, E. M., Hafler, D. A., Lauffenburger, D. A., & Love, J. C. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117194109 · Cited by 329 · see citing works

Web-based kinetic modelling using JWS Online

Olivier, B. G., & Snoep, J. L. (2004) · Bioinformatics · doi:10.1093/bioinformatics/bth200 · Cited by 326 · see citing works

Systems biology: parameter estimation for biochemical models

Ashyraliyev, M., Fomekong‐Nanfack, Y., Kaandorp, J. A., & Blom, J. G. (2009) · The FEBS Journal · doi:10.1111/j.1742-4658.2008.06844.x · Cited by 323 · see citing works

Inflamm-ageing

Cevenini, E., Monti, D., & Franceschi, C. (2013) · Current Opinion in Clinical Nutrition and Metabolic Care · doi:10.1097/mco.0b013e32835ada13 · Cited by 317 · see citing works

Molecular inflammation hypothesis of aging based on the anti‐aging mechanism of calorie restriction

Chung, H. Y., Kim, H. J., Kim, K. W., Choi, J. S., & Yu, B. P. (2002) · Microscopy Research and Technique · doi:10.1002/jemt.10203 · Cited by 297 · see citing works

PSICQUIC and PSISCORE: accessing and scoring molecular interactions

Aranda, B., Blankenburg, H., Kerrien, S., Brinkman, F. S. L., Ceol, A. G. M., Chautard, É., Dana, J. M., Rivas, J. D. L., Dumousseau, M., Galeota, E., et al. (2011) · Nature Methods · doi:10.1038/nmeth.1637 · Cited by 297 · see citing works

Metabolic flexibility

Storlien, L., Oakes, N. D., & Kelley, D. E. (2004) · Proceedings of the Nutrition Society · doi:10.1079/pns2004349 · Cited by 291 · see citing works

The immune risk phenotype is associated with IL-6 in the terminal decline stage: Findings from the Swedish NONA immune longitudinal study of very late life functioning

Wikby, A., Nilsson, B.-O., Forsey, R. J., Thompson, J., Strindhall, J., Löfgren, S., Ernerudh, J., Pawelec, G., Ferguson, F. G., & Johansson, B. E. A. (2006) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2006.04.003 · Cited by 284 · see citing works

Metabolic flexibility in the development of insulin resistance and type 2 diabetes: effects of lifestyle

Corpeleijn, E., Saris, W. H. M., & Blaak, E. E. (2009) · Obesity Reviews · doi:10.1111/j.1467-789x.2008.00544.x · Cited by 280 · see citing works

The age-related increase in low-grade systemic inflammation (Inflammaging) is not driven by cytomegalovirus infection

Bartlett, D. B., Firth, C. M., Phillips, A. C., Moss, P., Baylis, D., Syddall, H., Sayer, A. A., Cooper, C., & Lord, J. M. (2012) · Aging Cell · doi:10.1111/j.1474-9726.2012.00849.x · Cited by 278 · see citing works

Nodal Dynamics, Not Degree Distributions, Determine the Structural Controllability of Complex Networks

Cowan, N. J., Chastain, E. J., Vilhena, D. A., Freudenberg, J. S., & Bergstrom, C. T. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038398 · Cited by 273 · see citing works

Competing feedback loops shape IL-2 signaling between helper and regulatory T lymphocytes in cellular microenvironments

Busse, D., de la Rosa, M., Hobiger, K., Thurley, K., Floßdorf, M., Scheffold, A., & Höfer, T. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812851107 · Cited by 273 · see citing works

SABIO-RK--database for biochemical reaction kinetics

Wittig, U., Kania, R., Golebiewski, M., Rey, M., Shi, L., Jong, L. M., Algaa, E., Weidemann, A., Sauer‐Danzwith, H., Mir, S., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1046 · Cited by 260 · see citing works

Plasma cytokine profiles in elderly humans

Forsey, R. J., Thompson, J. M., Ernerudh, J., HURST, T. L., Strindhall, J., Johansson, B. E. A., Nilsson, B.-O., & Wikby, A. (2003) · Mechanisms of Ageing and Development · doi:10.1016/s0047-6374(03)00025-3 · Cited by 249 · see citing works

System Modeling in Cellular Biology: From Concepts to Nuts and Bolts

Szállási, Z., Stelling, J., & Periwal, V. (2007) · Medical Entomology and Zoology · Cited by 236 · see citing works

Exploring Disease through Metabolomics

Vinayavekhin, N., Homan, E. A., & Saghatelian, A. (2009) · ACS Chemical Biology · doi:10.1021/cb900271r · Cited by 232 · see citing works

Translational Systems Biology of Inflammation

Yoram Vodovotz, B., CSETE, M. E., Bartels, J. D., Chang, S. C., & An, G. C. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000014 · Cited by 230 · see citing works

APID: Agile Protein Interaction DataAnalyzer

Prieto, C. A. V., & Rivas, J. D. L. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl128 · Cited by 224 · see citing works

Aging is associated with circulating cytokine dysregulation

Álvarez-Rodríguez, L., López-Hoyos, M., Muñoz-Cacho, P., & Martínez-Taboada, V. M. (2012) · Cellular Immunology · doi:10.1016/j.cellimm.2012.01.001 · Cited by 217 · see citing works

Growth and aging: a common molecular mechanism

Blagosklonny, M. V., & Hall, M. N. (2009) · Aging · doi:10.18632/aging.100040 · Cited by 212 · see citing works

The Powerful Law of the Power Law and Other Myths in Network Biology

Lima-Mendez, G., & van Helden, J. (2009) · Molecular BioSystems · doi:10.1039/b908681a · Cited by 210 · see citing works

Immune System, Cell Senescence, Aging and Longevity - Inflamm-Aging Reappraised

Salvioli, S., Monti, D., Lanzarini, C., Conte, M., Pirazzini, C., Bacalini, M. G., Garagnani, P., Giuliani, C., Fontanesi, E., Ostan, R., et al. (2013) · Current Pharmaceutical Design · doi:10.2174/138161213805219531 · Cited by 208 · see citing works

Minimum Information About a Microarray Experiment (MIAME) – Successes, Failures, Challenges

Brāzma, A. (2009) · The Scientific World JOURNAL · doi:10.1100/tsw.2009.57 · Cited by 205 · see citing works

Diet-microbiota interactions and their implications for healthy living

Jeffery, I., & O'Toole, P. (2013) · Nutrients · doi:10.3390/nu5010234 · Cited by 199 · see citing works

Role of Forkhead Transcription Factors in Diabetes-Induced Oxidative Stress

Ponugoti, B., Dong, G., & Graves, D. T. (2012) · Experimental Diabetes Research · doi:10.1155/2012/939751 · Cited by 193 · see citing works

Low-dose endotoxemia and human neuropsychological functions

Krabbe, K. S., Reichenberg, A., Yirmiya, R., Smed, A., Pedersen, B. K., & Bruunsgaard, H. (2005) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2005.04.010 · Cited by 189 · see citing works

Measuring enzyme activities under standardized in vivo ‐like conditions for systems biology

van Eunen, K., Bouwman, J., Daran-Lapujade, P. A. S., Postmus, J., Canelas, A. B., Mensonides, F. I. C., Orij, R., Tüzün, I., van den Brink, J., Smits, G. J., et al. (2010) · FEBS Journal · doi:10.1111/j.1742-4658.2009.07524.x · Cited by 178 · see citing works

Massive Load of Functional Effector CD4+ and CD8+ T Cells against Cytomegalovirus in Very Old Subjects

Vescovini, R., Biasini, C., Fagnoni, F. F., Telera, A. R., Zanlari, L., Pedrazzoni, M., Bucci, L., Monti, D., Medici, M. C., Chezzi, C., et al. (2007) · The Journal of Immunology · doi:10.4049/jimmunol.179.6.4283 · Cited by 173 · see citing works

Understanding the temporal codes of intra-cellular signals

Behar, M., & Hoffmann, A. (2010) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2010.09.007 · Cited by 169 · see citing works

The Physiome Model Repository 2

Yu, T., Lloyd, C. M., Nickerson, D. P., Cooling, M. T., Miller, A. K., Garny, A., Terkildsen, J. R., Lawson, J., Britten, R. D., Hunter, P. J., et al. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btq723 · Cited by 169 · see citing works

Nutritional Systems Biology Modeling: From Molecular Mechanisms to Physiology

de Graaf, A. A., Freidig, A. P., de Roos, B., Jamshidi, N., Heinemann, M., Rullmann, J. A. C., Hall, K. D., Adiels, M., & van Ommen, B. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000554 · Cited by 155 · see citing works

Chemical biophysics: quantitative analysis of cellular systems

(2009) · Choice Reviews Online · doi:10.5860/choice.46-2643 · Cited by 148 · see citing works

Rate of environmental change determines stress response specificity

Young, J. W., Locke, J. C. W., & Elowitz, M. B. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1213060110 · Cited by 148 · see citing works

Plasma metabolomics and proteomics profiling after a postprandial challenge reveal subtle diet effects on human metabolic status

Pellis, L., van Erk, M. J., van Ommen, B., Bakker, G. C. M., Hendriks, H., Cnubben, N. H. P., Kleemann, R., van Someren, E. P., Bobeldijk, I., Rubingh, C. M., et al. (2011) · Metabolomics · doi:10.1007/s11306-011-0320-5 · Cited by 145 · see citing works

Enabling a systems biology approach to immunology: focus on innate immunity.

Gardy, J., Lynn, D., Brinkman, F., & Hancock, R. (2009) · Trends in immunology · doi:10.1016/j.it.2009.03.009 · Cited by 141 · see citing works

Ageing Is Associated with a Prolonged Fever Response in Human Endotoxemia

Krabbe, K. S., Brüünsgaard, H., Hansen, C. M., Møller, K., Fonsmark, L., Qvist, J., Madsen, P. L., Kronborg, G., Andersen, H. Ø., Skinhøj, P., et al. (2001) · Clinical and Diagnostic Laboratory Immunology · doi:10.1128/cdli.8.2.333-338.2001 · Cited by 140 · see citing works

Signal Processing in the TGF-β Superfamily Ligand-Receptor Network

Vilar, J. M. G., Jansen, R., & Sander, C. (2006) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0020003 · Cited by 138 · see citing works

A homeostatic model of IκB metabolism to control constitutive NF‐κB activity

O'Dea, E. L., Barken, D. M., Peralta, R. Q., Tran, K. T., Werner, S. L., Kearns, J. D., Levchenko, A., & Hoffmann, A. (2007) · Molecular Systems Biology · doi:10.1038/msb4100148 · Cited by 132 · see citing works

Lessons from mathematically modeling the NF‐κB pathway

Basak, S., Behar, M., & Hoffmann, A. (2012) · Immunological Reviews · doi:10.1111/j.1600-065x.2011.01092.x · Cited by 131 · see citing works

Generalized models as a universal approach to the analysis of nonlinear dynamical systems

Groß, T., & Feudel, U. (2006) · Physical Review E · doi:10.1103/physreve.73.016205 · Cited by 126 · see citing works

Systems Biology: Definitions and Perspectives

Alberghina, L., & Westerhoff, H. V. (2005) · VU Research Portal · Cited by 119 · see citing works

Testing Biochemistry Revisited: How In Vivo Metabolism Can Be Understood from In Vitro Enzyme Kinetics

van Eunen, K., Kiewiet, J., Westerhoff, H. V., & Bakker, B. M. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002483 · Cited by 106 · see citing works

Dichotomy in duration and severity of acute inflammatory responses in humans arising from differentially expressed proresolution pathways

Morris, T., Stables, M. J., Colville‐Nash, P., Newson, J., Bellingan, G. J., de Souza, P. M., & Gilroy, D. W. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000373107 · Cited by 106 · see citing works

The immune-body cytokine network defines a social architecture of cell interactions

Frankenstein, Z., Alon, U. S., & Cohen, I. R. (2006) · Biology Direct · doi:10.1186/1745-6150-1-32 · Cited by 101 · see citing works

Quantitative analysis of transient and sustained transforming growth factor‐β signaling dynamics

Zi, Z., Feng, Z., Chapnick, D. A., Dahl, M., Deng, D., Klipp, E., Moustakas, A., & Liu, X. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.22 · Cited by 99 · see citing works

Model storage, exchange and integration

Novère, N. G. L. (2006) · BMC Neuroscience · doi:10.1186/1471-2202-7-s1-s11 · Cited by 97 · see citing works

Understanding Modularity in Molecular Networks Requires Dynamics

Alexander, R. P., Kim, P. M., Emonet, T., & Gerstein, M. (2009) · Science Signaling · doi:10.1126/scisignal.281pe44 · Cited by 92 · see citing works

Intense Antiextracellular Adaptive Immune Response to Human Cytomegalovirus in Very Old Subjects with Impaired Health and Cognitive and Functional Status

Vescovini, R., Biasini, C., Telera, A. R., Basaglia, M., Stella, A., Magalini, F., Bucci, L., Monti, D., Lazzarotto, T., Monte, P. D., et al. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.0902890 · Cited by 84 · see citing works

A Mathematical Model for the Reciprocal Differentiation of T Helper 17 Cells and Induced Regulatory T Cells

Hong, T., Xing, J., Li, L., & Tyson, J. J. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002122 · Cited by 81 · see citing works

Lifestyle-induced metabolic inflexibility and accelerated ageing syndrome: insulin resistance, friend or foe?

Nunn, A. V. W., Bell, J. D., & Guy, G. W. (2009) · Nutrition & Metabolism · doi:10.1186/1743-7075-6-16 · Cited by 75 · see citing works

Challenges of molecular nutrition research 6: the nutritional phenotype database to store, share and evaluate nutritional systems biology studies

van Ommen, B., Bouwman, J., Dragsted, L. O., Drevon, C. A., Elliott, R. M., de Groot, P., Kaput, J., Mathers, J. C., Müller, M. M., Pepping, F., et al. (2010) · Genes & Nutrition · doi:10.1007/s12263-010-0167-9 · Cited by 73 · see citing works

Charting the NF-κB Pathway Interactome Map

Tieri, P., Termanini, A., Bellavista, E., Salvioli, S., Capri, M., & Franceschi, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032678 · Cited by 73 · see citing works

Implementation of a regulatory gene network to simulate the TH1/2 differentiation in an agent-based model of hypersensitivity reactions

Santoni, D., Pedicini, M., & Castiglione, F. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn135 · Cited by 64 · see citing works

A Systems Model for Immune Cell Interactions Unravels the Mechanism of Inflammation in Human Skin

Valeyev, N. V., Hundhausen, C., Umezawa, Y., Kotov, N. V., Williams, G. H., Clop, A., Ainali, C., Ouzounis, C. A., Tsoka, S., & Nestle, F. O. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001024 · Cited by 62 · see citing works

Network Topologies and Dynamics Leading to Endotoxin Tolerance and Priming in Innate Immune Cells

Fu, Y., Glaros, T., Zhu, M., Wang, P., Wu, Z., Tyson, J. J., Li, L., & Xing, J. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002526 · Cited by 61 · see citing works

Properties of metabolic graphs: biological organization or representation artifacts?

Zhou, W., & Nakhleh, L. K. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-132 · Cited by 55 · see citing works

Applied Statistics for Network Biology

(2011) · Wiley eBooks · doi:10.1002/9783527638079 · Cited by 54 · see citing works

A systems-theoretical framework for health and disease: Inflammation and preconditioning from an abstract modeling point of view

Voit, E. O. (2008) · Mathematical Biosciences · doi:10.1016/j.mbs.2008.09.005 · Cited by 48 · see citing works

Cytokines in chronic rheumatic diseases: is everything lack of homeostatic balance?

Chizzolini, C., Dayer, J., & Miossec, P. (2009) · Arthritis Research & Therapy · doi:10.1186/ar2767 · Cited by 45 · see citing works

Multiscale Modeling and Data Integration in the Virtual Physiological Rat Project

Beard, D., Neal, M., Tabesh-Saleki, N., Thompson, C. T., Bassingtwaighte, J. B., Shimoyama, M., & Carlson, B. E. (2012) · Annals of Biomedical Engineering · doi:10.1007/s10439-012-0611-7 · Cited by 42 · see citing works

A robust model to describe the differentiation of T-helper cells

Mendoza, L., & Pardo‐Ávila, F. (2010) · Theory in Biosciences · doi:10.1007/s12064-010-0112-x · Cited by 40 · see citing works

Using nonlinear model predictive control to find optimal therapeutic strategies to modulate inflammation

Day, J., Rubin, J. E., & Clermont, G. (2010) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2010.7.739 · Cited by 40 · see citing works

A simple mathematical model of signaling resulting from the binding of lipopolysaccharide with Toll-like receptor 4 demonstrates inherent preconditioning behavior

Rivière, B. M., Epshteyn, Y., David Swigon, A., & Yoram Vodovotz, B. (2008) · Mathematical Biosciences · doi:10.1016/j.mbs.2008.10.002 · Cited by 39 · see citing works

Systems biology of adipose tissue metabolism: regulation of growth, signaling and inflammation

Manteiga, S., Choi, K., Jayaraman, A., & Lee, K. (2013) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1213 · Cited by 36 · see citing works

Model-driven experimental analysis of the function of SHP-2 in IL-6-induced Jak/STAT signaling

Dittrich, A., Quaiser, T., Khouri, C., Görtz, D., Mönnigmann, M., & Schaper, F. (2012) · Molecular BioSystems · doi:10.1039/c2mb05488d · Cited by 32 · cited 1× · see citing works

A systems biology approach to nutritional immunology – Focus on innate immunity

Afacan, N. J., Fjell, C. D., & Hancock, R. E. W. (2011) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2011.10.013 · Cited by 32 · see citing works

Mathematical formalisms based on approximated kinetic representations for modeling genetic and metabolic pathways

Alves, R., Vilaprinyó, E., Hernández‐Bermejo, B., & Albert Sorribas, B. (2008) · Biotechnology and Genetic Engineering Reviews · doi:10.5661/bger-25-1 · Cited by 30 · see citing works

Models of Cellular Regulation

Aguda, B. D., Friedman, A., & Visiting Associate Professor, T. O. S. U. (2008) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780198570912.001.0001 · Cited by 27 · see citing works

Computational Modeling of Glucose Transport in Pancreatic β-Cells Identifies Metabolic Thresholds and Therapeutic Targets in Diabetes

Luni, C., Marth, J. D., & Doyle, F. J. (2012) · PLoS ONE · doi:10.1371/journal.pone.0053130 · Cited by 26 · see citing works

Mathematical Modeling of Glucose Homeostasis and Its Relationship With Energy Balance and Body Fat

Smith, J. M. D., Maas, J. A., Garnsworthy, P. C., Owen, M. R., Coombes, S., Pillay, T. S., Barrett, D. A., & Symonds, M. E. (2009) · Obesity · doi:10.1038/oby.2008.604 · Cited by 23 · see citing works

Identifying gnostic predictors of the vaccine response

Haining, W. N., & Pulendran, B. (2012) · Current Opinion in Immunology · doi:10.1016/j.coi.2012.03.010 · Cited by 18 · see citing works

The Physiome Projects and Multiscale Modeling [Life sciences]

Bassingthwaighte, J. B., & Chizeck, H. J. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2007.914723 · Cited by 18 · see citing works

Chapter 18 Modeling of Growth Factor-Receptor Systems

Wu, F. T. H., Stefanini, M. O., Gabhann, F. M., & Popel, A. S. (2009) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(09)67018-x · Cited by 15 · see citing works

A multiscale modeling approach to inflammation: A case study in human endotoxemia

Scheff, J. D., Mavroudis, P. D., Foteinou, P. T., An, G. C., Calvano, S. E., Doyle, J. C., Dick, T. E., Lowry, S. F., Yoram Vodovotz, B., & Androulakis, I. P. (2012) · Journal of Computational Physics · doi:10.1016/j.jcp.2012.09.024 · Cited by 13 · see citing works

Exercise training and fat metabolism after menopause: implications for improved metabolic flexibility in aging

DiPietro, L. (2010) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01152.2010 · Cited by 11 · see citing works

A Model for How Signal Duration Can Determine Distinct Outcomes of Gene Transcription Programs

Fowler, K. D., Kuchroo, V. K., & Chakraborty, A. K. (2012) · PLoS ONE · doi:10.1371/journal.pone.0033018 · Cited by 6 · cited 1× · see citing works

Nutritional Systems Biology

Jensen, K. (2014) · Cited by 4 · see citing works

Skeletal muscle fuel utilisation in healthy and disregulated states

Wattis, J. A. D. (2007) · Cited by 1 · see citing works

Multiscale Network Reconstruction from Gene Expression Measurements: Correlations, Perturbations, and “ A Priori Biological Knowledge”

Remondini, D., & Castellani, G. (2011) · doi:10.1002/9783527638079.ch6 · Cited by 1 · see citing works

Metabolic Flexibility as an Adaptation to Energy Resources and Requirements in Health and Disease

Smith, R. L., Soeters, M. R., Wüst, R. C. I., & Houtkooper, R. H. (2018) · Endocrine Reviews · doi:10.1210/er.2017-00211 · Cited by 787 · see citing works

Aging-related inflammation in osteoarthritis

Greene, M. A., & Loeser, R. F. (2015) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2015.01.008 · Cited by 487 · see citing works

CCL2/CCR2, but not CCL5/CCR5, mediates monocyte recruitment, inflammation and cartilage destruction in osteoarthritis

Raghu, H., Lepus, C. M., Wang, Q., Wong, H., Lingampalli, N., Oliviero, F., Punzi, L., Giori, N., Goodman, S., Chu, C., et al. (2016) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2016-210426 · Cited by 442 · see citing works

Inflammaging and Cancer: A Challenge for the Mediterranean Diet

Ostan, R., Lanzarini, C., Pini, E., Scurti, M., Vianello, D., Bertarelli, C., Fabbri, C., Izzi, M., Palmas, M. G., Biondi, F., et al. (2015) · Nutrients · doi:10.3390/nu7042589 · Cited by 194 · see citing works

A new role for oxidative stress in aging: The accelerated aging phenotype in Sod1-/- mice is correlated to increased cellular senescence

Zhang, Y., Unnikrishnan, A., Deepa, S. S., Liu, Y., Li, Y., Ikeno, Y., Sosnowska, D., Van Remmen, H., & Richardson, A. (2017) · Redox Biology · doi:10.1016/j.redox.2016.10.014 · Cited by 185 · see citing works

Parallels in Immunometabolic Adipose Tissue Dysfunction with Ageing and Obesity

Trim, W. V., Turner, J. E., & Thompson, D. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.00169 · Cited by 167 · see citing works

Glutathione: A Samsonian life-sustaining small molecule that protects against oxidative stress, ageing and damaging inflammation

Labarrere, C. A., & Kassab, G. S. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1007816 · Cited by 146 · see citing works

Combating inflammaging through a Mediterranean whole diet approach: The NU-AGE project's conceptual framework and design

Santoro, A., Pini, E., Scurti, M., Palmas, M. G., Berendsen, A. A. M., Brzozowska, A., Pietruszka, B., Szczecińska, A., Cano, N., Meunier, N., et al. (2013) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2013.12.001 · Cited by 129 · see citing works

Inflammaging and Skeletal Muscle: Can Protein Intake Make a Difference?

Draganidis, D., Karagounis, L. G., Athanailidis, I., Chatzinikolaou, A., Jamurtas, A. Z., & Fatouros, I. G. (2016) · Journal of Nutrition · doi:10.3945/jn.116.230912 · Cited by 120 · see citing works

Network medicine framework shows that proximity of polyphenol targets and disease proteins predicts therapeutic effects of polyphenols

do Valle, Í. F., Roweth, H. G., Malloy, M. W., Moco, S., Barron, D., Battinelli, E. M., Loscalzo, J., & Barabási, A.-Ĺ. (2021) · Nature Food · doi:10.1038/s43016-021-00243-7 · Cited by 118 · see citing works

Inflammaging, hormesis and the rationale for anti-aging strategies

Santoro, A., Martucci, M., Conte, M., Capri, M., Franceschi, C., & Salvioli, S. (2020) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101142 · Cited by 114 · see citing works

Neuroplasticity and Clinical Practice: Building Brain Power for Health

Shaffer, J. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01118 · Cited by 120 · see citing works

Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies

Moni, M. A., & Lió, P. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-333 · Cited by 106 · see citing works

Changes in autophagy, proteasome activity and metabolism to determine a specific signature for acute and chronic senescent mesenchymal stromal cells

Capasso, S., Alessio, N., Squillaro, T., Bernardo, G. D., Melone, M. A. B., Cipollaro, M., Peluso, G., & Galderisi, U. (2015) · Oncotarget · doi:10.18632/oncotarget.6277 · Cited by 106 · see citing works

Enhancing and Extending Biological Performance and Resilience

Leak, R. K., Calabrese, E. J., Kozumbo, W. J., Gidday, J. M., Johnson, T. E., Mitchell, J. R., Ozaki, C. K., Wetzker, R., Bast, A., Belz, R. G., et al. (2018) · Dose-Response · doi:10.1177/1559325818784501 · Cited by 103 · see citing works

Diabetes and metabolic syndrome as risk factors for COVID-19

Marhl, M., Grubelnik, V., Magdič, M., & Markovič, R. (2020) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2020.05.013 · Cited by 105 · see citing works

Mast cells participate in chronic low‐grade inflammation within adipose tissue

Żelechowska, P., Agier, J., Kozłowska, E., & Brzezińska‐Błaszczyk, E. (2018) · Obesity Reviews · doi:10.1111/obr.12670 · Cited by 84 · see citing works

Deciphering the decline of metabolic elasticity in aging and obesity

Zhou, Q., Yu, L., Cook, J. R., Qiang, L., & Sun, L. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.08.001 · Cited by 80 · see citing works

Inflammatory markers and physical frailty: towards clinical application

Pan, Y., & Ma, L. (2024) · Immunity & Ageing · doi:10.1186/s12979-023-00410-3 · Cited by 78 · see citing works

Elevated serum Il-6 and adiponectin levels are associated with frailty and physical function in Chinese older adults

Ma, L., Sha, G., Zhang, Y., & Li, Y. (2018) · Clinical Interventions in Aging · doi:10.2147/cia.s180934 · Cited by 77 · see citing works

Inhibition of low-grade inflammation by anthocyanins from grape extract in an in vitro epithelial-endothelial co-culture model

Kuntz, S., Asseburg, H., Dold, S., Römpp, A., Fröhling, B., Kunz, C., & Rudloff, S. (2015) · Food & Function · doi:10.1039/c4fo00755g · Cited by 70 · see citing works

Impact of Mesenchymal Stem Cell Senescence on Inflammaging

Lee, B.-C., & Yu, K. (2020) · BMB Reports · doi:10.5483/bmbrep.2020.53.2.291 · Cited by 70 · see citing works

Association Between Carbohydrate Nutrition and Successful Aging Over 10 Years

Gopinath, B., Flood, V. M., Kifley, A., Louie, J. C. Y., & Mitchell, P. L. R. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw091 · Cited by 66 · see citing works

Long-term intake of Lactobacillus paracasei KW3110 prevents age-related chronic inflammation and retinal cell loss in physiologically aged mice

Morita, Y., Jounai, K., Sakamoto, A., Tomita, Y., Sugihara, Y., Suzuki, H., Ohshio, K., Otake, M., Fujiwara, D., Kanauchi, O., et al. (2018) · Aging · doi:10.18632/aging.101583 · Cited by 60 · see citing works

Metabolic flexibility is impaired in women who are pregnant and overweight/obese and related to insulin resistance and inflammation

Tinius, R. A., Blankenship, M. M., Furgal, K. E., Cade, W. T., Pearson, K. J., Rowland, N. S., Pearson, R. C., Hoover, D. L., & Maples, J. M. (2020) · Metabolism · doi:10.1016/j.metabol.2020.154142 · Cited by 54 · see citing works

Immunometabolic responses according to physical fitness status and lifelong exercise during aging: New roads for exercise immunology

Padilha, C. S., Figueiredo, C., Minuzzi, L. G., Chimin, P., Deminice, R., Krüger, K., Neto, J. C. R., & Lira, F. S. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101341 · Cited by 54 · see citing works

Role of Bioactive Compounds in Obesity: Metabolic Mechanism Focused on Inflammation

Ramírez‐Moreno, E., Arias‐Rico, J., Sánchez, R. C. J., Estrada-Luna, D., Jiménez‐Osorio, A. S., Zafra‐Rojas, Q. Y., Ariza‐Ortega, J. A., Flores-Chávez, O. R., Castillejos, L. M., & Sandoval-Gallegos, E. M. (2022) · Foods · doi:10.3390/foods11091232 · Cited by 45 · see citing works

AMPK as a Pro-longevity Target

Burkewitz, K., Weir, H. J. M., & Mair, W. B. (2016) · Proceedings of the Fourth International Symposium on Polarization Phenomena in Nuclear Reactions · doi:10.1007/978-3-319-43589-3_10 · Cited by 41 · see citing works

The intrinsic and extrinsic elements regulating inflammation

Mollaei, M., Abbasi, A., Hassan, Z. M., & Pakravan, N. (2020) · Life Sciences · doi:10.1016/j.lfs.2020.118258 · Cited by 41 · see citing works

Telomerase RNA Component Genetic Variants Interact With the Mediterranean Diet Modifying the Inflammatory Status and its Relationship With Aging: CORDIOPREV Study

Gómez-Delgado, F., Delgado‐Lista, J., López-Moreno, J., Rangel-Zúñiga, O. A., Alcala-Diaz, J. F., Leon‐Acuña, A., Corina, A., Yubero‐Serrano, E. M., Torres-Peña, J. D., Camargo, A., et al. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw194 · Cited by 40 · see citing works

High Serum Tumor Necrosis Factor Receptor 1 Levels Are Related to Risk of Low Intrinsic Capacity in Elderly Adults

Ma, L., Liu, P., Zhang, Y., Sha, G., Zhang, L., & Li, Y. (2020) · The journal of nutrition health & aging · doi:10.1007/s12603-020-1533-y · Cited by 40 · see citing works

Caveolin-1-Knockout Mouse as a Model of Inflammatory Diseases

Codrici, E., Albulescu, L., Popescu, I. D., Mihai, S., Enciu, A., Albulescu, R., Tănase, C., & Hinescu, M. E. (2018) · Journal of Immunology Research · doi:10.1155/2018/2498576 · Cited by 38 · see citing works

The Effects of 12 Weeks of a Combined Exercise Program on Physical Function and Hormonal Status in Elderly Korean Women

Im, J. Y., Bang, H. S., & Seo, D. Y. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16214196 · Cited by 37 · see citing works

Elevated luteinizing hormone despite normal testosterone levels in older men—natural history, risk factors and clinical features

Eendebak, R. J. A. H., Ahern, T., Święcicka, A., Pye, S. R., O’Neill, T. W., Bártfai, G., Casanueva, F. F., Maggi, M., Forti, G., Giwercman, A., et al. (2017) · Clinical Endocrinology · doi:10.1111/cen.13524 · Cited by 33 · see citing works

Soybean protein-derived peptide nutriment increases negative nitrogen balance in burn injury-induced inflammatory stress response in aged rats through the modulation of white blood cells and immune factors

Zhang, J., Li, W., Ying, Z., Zhao, D., Yi, G., Li, H., & Liu, X. (2020) · Food & Nutrition Research · doi:10.29219/fnr.v64.3677 · Cited by 33 · see citing works

An examination of contributions of animal- and plant-based dietary patterns on the nutrient quality of diets of adult Canadians

Fabek, H., Sánchez‐Hernández, D., Ahmed, M., Marinangeli, C. P. F., House, J. D., & Anderson, G. H. (2021) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2020-1039 · Cited by 34 · see citing works

Disparate Habitual Physical Activity and Dietary Intake Profiles of Elderly Men with Low and Elevated Systemic Inflammation

Draganidis, D., Jamurtas, A. Z., Stampoulis, T., Laschou, V. C., Deli, C. K., Georgakouli, K., Παπανικολάου, Κ., Chatzinikolaou, A., Michalopoulou, M., Papadopoulos, C., et al. (2018) · Nutrients · doi:10.3390/nu10050566 · Cited by 31 · see citing works

Nutrition and microRNAs: Novel Insights to Fight Sarcopenia

Barbiera, A., Pelosi, L., Sica, G., & Scicchitano, B. M. (2020) · Antioxidants · doi:10.3390/antiox9100951 · Cited by 32 · see citing works

Aged mesenchymal stem cells and inflammation: from pathology to potential therapeutic strategies

Yang, X. F., Wang, Y., Rovella, V., Candi, E., Jia, W. P., Bernassola, F., Bove, P., Piacentini, M., Scimeca, M., Sica, G. S., et al. (2023) · Biology Direct · doi:10.1186/s13062-023-00394-6 · Cited by 27 · see citing works

C-reactive protein is differentially modulated by co-existing infections, vitamin deficiencies and maternal factors in pregnant and lactating indigenous Panamanian women

González‐Fernández, D., Pons, E. D. C., Rueda, D., Sinisterra, O. T., Murillo, E., Scott, M. E., & Koski, K. G. (2017) · Infectious Diseases of Poverty · doi:10.1186/s40249-017-0307-1 · Cited by 24 · see citing works

Recent Advances in the Systems Biology of Aging

McCormick, M. A., & Promislow, D. (2017) · Antioxidants and Redox Signaling · doi:10.1089/ars.2017.7367 · Cited by 24 · see citing works

Association between sleep quality and time with energy metabolism in sedentary adults

Jurado‐Fasoli, L., Mochón-Benguigui, S., Castillo, M. J., & Amaro‐Gahete, F. J. (2020) · Scientific Reports · doi:10.1038/s41598-020-61493-2 · Cited by 24 · see citing works

Lactobacillus paracasei KW3110 Prevents Inflammatory-Stress-Induced Mitochondrial Dysfunction in Mouse Macrophages

Yamazaki, T., Yamada, S., Ohshio, K., Sugamata, M., & Morita, Y. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23031443 · Cited by 23 · see citing works

Metabolic flexibility in postmenopausal women: Hormone replacement therapy is associated with higher mitochondrial content, respiratory capacity, and lower total fat mass

Kleis-Olsen, A.-S., Farlov, J. E., Petersen, E. A., Schmücker, M., Flensted-Jensen, M., Blom, I., Ingersen, A., Hansen, M., Helge, J. W., Dela, F., et al. (2024) · Acta Physiologica · doi:10.1111/apha.14117 · Cited by 22 · see citing works

Redox-dependent regulation of satellite cells following aseptic muscle trauma: Implications for sports performance and nutrition

Παπανικολάου, Κ., Veskoukis, A. S., Draganidis, D., Baloyiannis, I., Deli, C. K., Poulios, A., Jamurtas, A. Z., & Fatouros, I. G. (2020) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2020.10.001 · Cited by 20 · see citing works

Inhibition of Low-Grade Inflammation by Anthocyanins after Microbial Fermentation in Vitro

Kuntz, S., Kunz, C., Domann, E., Würdemann, N., Unger, F., Römpp, A., & Rudloff, S. (2016) · Nutrients · doi:10.3390/nu8070411 · Cited by 20 · see citing works

Senescence Phenomena and Metabolic Alteration in Mesenchymal Stromal Cells from a Mouse Model of Rett Syndrome

Squillaro, T., Alessio, N., Capasso, S., Bernardo, G. D., Melone, M. A. B., Peluso, G., & Galderisi, U. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20102508 · Cited by 19 · see citing works

Lactic acid bacterium, Lactobacillus paracasei KW3110, suppresses inflammatory stress-induced caspase-1 activation by promoting interleukin-10 production in mouse and human immune cells

Yamazaki, T., Ohshio, K., Sugamata, M., & Morita, Y. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237754 · Cited by 18 · see citing works

Effects of Milk or Soy Milk Combined with Mild Resistance Exercise on the Muscle Mass and Muscle Strength in Very Old Nursing Home Residents with Sarcopenia

Chiang, F.-Y., Chen, J., Lee, W., & Yang, S. (2021) · Foods · doi:10.3390/foods10112581 · Cited by 18 · see citing works

Unraveling the connection: Inflammatory markers and diabetes mellitus pathogenesis

Obeagu, E. I. (2026) · Medicine · doi:10.1097/md.0000000000047338 · Cited by 17 · see citing works

Lactobacillus paracasei KW3110 Suppresses Inflammatory Stress-Induced Premature Cellular Senescence of Human Retinal Pigment Epithelium Cells and Reduces Ocular Disorders in Healthy Humans

Yamazaki, T., Suzuki, H., Yamada, S., Ohshio, K., Sugamata, M., Yamada, T., & Morita, Y. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21145091 · Cited by 16 · see citing works

Age and Sex Interact to Determine the Effects of Commonly Consumed Dairy Products on Postmeal Glycemia, Satiety, and Later Meal Food Intake in Adults

Vien, S., Fard, S., Khoury, D. T. D. E., Luhovyy, B. L., Fabek, H., & Anderson, G. H. (2021) · Journal of Nutrition · doi:10.1093/jn/nxab122 · Cited by 16 · see citing works

Metformin use history and genome-wide DNA methylation profile: potential molecular mechanism for aging and longevity

Marra, P. S., Yamanashi, T., Crutchley, K. J., Wahba, N. E., Anderson, Z. M., Modukuri, M., Chang, G., Tran, T., Iwata, M., Cho, H. R., et al. (2023) · Aging · doi:10.18632/aging.204498 · Cited by 15 · see citing works

Tabata‐style functional exercise increases resting and postprandial fat oxidation but does not reduce triglyceride concentrations

Pearson, R. C., Olenick, A., Green, E. S., & Jenkins, N. T. (2020) · Experimental Physiology · doi:10.1113/ep088330 · Cited by 14 · see citing works

Role of single serving form of dairy on satiety and postprandial glycaemia in young and older healthy adults

Vien, S., Fabek, H., Yamagishi, Y., Lee, Y. T., Luhovyy, B. L., & Anderson, G. H. (2019) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2018-0887 · Cited by 14 · see citing works

Dietary Carbohydrate Intake, Carbohydrate Quality, and Healthy Aging in Women

Korat, A. V. A., Duscova, E., Shea, M. K., Jacques, P. F., Sebastiani, P., Wang, M., Mahdavi, S. M., Eliassen, A. H., Willett, W. C., & Sun, Q. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.11056 · Cited by 11 · see citing works

Serum Retinol but Not 25(OH)D Status Is Associated With Serum Hepcidin Levels in Older Mexican Adults

la Cruz-Góngora, V. V. D., Salinas‐Rodríguez, A., Villalpando, S., & Flores, M. (2019) · Nutrients · doi:10.3390/nu11050988 · Cited by 11 · see citing works

Resistance Training Associated with Dietetic Advice Reduces Inflammatory Biomarkers in the Elderly

Lopes, L. M. P., de Oliveira, E. C., Becker, L. K., Costa, G. D. P., Pinto, K. M. D. C., Talvani, A., Carraro, J. C. C., & Coelho, D. B. (2020) · BioMed Research International · doi:10.1155/2020/7351716 · Cited by 11 · see citing works

Impact of Ageing on Female Metabolic Flexibility: A Cross-Sectional Pilot Study in over-60 Active Women

Monferrer-Marín, J., Roldán, A., Monteagudo, P., Chulvi‐Medrano, I., & Blasco-Lafarga, C. (2022) · Sports Medicine - Open · doi:10.1186/s40798-022-00487-y · Cited by 12 · see citing works

Metabolome responses to physiological and nutritional challenges

Puiggròs, F., Canela-Canela, N., & Arola, L. (2015) · Current Opinion in Food Science · doi:10.1016/j.cofs.2015.06.001 · Cited by 11 · see citing works

Modeling Innate Immunity Causing Chronic Inflammation and Tissue Damage

Matsuo, K., & Iwasa, Y. (2025) · Bulletin of Mathematical Biology · doi:10.1007/s11538-024-01410-0 · Cited by 9 · see citing works

Daily supplementation with GrandFusion® improves memory and learning in aged rats

Yu, J., Zhu, H., Perry, S. J., Taheri, S., & Kindy, M. S. (2017) · Aging · doi:10.18632/aging.101209 · Cited by 8 · see citing works

Secondary data analysis investigating effects of marine omega-3 fatty acids on circulating levels of leptin and adiponectin in older adults

Rausch, J., Gillespie, S. L., Orchard, T., Tan, A., & McDaniel, J. C. (2021) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2021.102302 · Cited by 8 · see citing works

Baseline Diet Quality Is Related to Changes in the Body Composition and Inflammatory Markers: An Intervention Study Based on Resistance Training and Nutritional Advice

Coelho, D. B., Lopes, L. M. P., de Oliveira, E. C., Becker, L. K., Costa, G. D. P., Hermsdorff, H. H. M., Silva, F. G. D. E., Pinto, K. M. D. C., Talvani, A., & Carraro, J. C. C. (2021) · BioMed Research International · doi:10.1155/2021/6681823 · Cited by 8 · see citing works

Metabolomics study of the anti-inflammatory effects of endogenous omega-3 polyunsaturated fatty acids

Peng, Y., Ren, H., Tao, H., He, C., Li, P., Wan, J., & Su, H. (2019) · RSC Advances · doi:10.1039/c9ra08356a · Cited by 8 · see citing works

17α-Estradiol: A Novel Therapeutic Intervention to Target Age-related Chronic Inflammation

González‐Freire, M., Díaz‐Ruiz, A., & de Cabo, R. (2016) · The Journals of Gerontology Series A · doi:10.1093/gerona/glw041 · Cited by 8 · see citing works

Differential effects of a cafeteria diet and GSPE preventive treatments on the enterohormone secretions of aged vs. young female rats

Miguéns‐Gómez, A., Sierra‐Cruz, M., Pérez-Vendrell, A. M., Rodríguez‐Gallego, E., Beltrán‐Debón, R., Terra, X., Ardèvol, A., & Pinent, M. (2022) · Food & Function · doi:10.1039/d2fo02111k · Cited by 7 · see citing works

Age-Dependent Serum Volatilomics of Milk and Yogurt Intake: A Randomized Crossover Study in Healthy Young and Older Men

Meng, H. Y., Kim, J., Fleuti, C., Fuchsmann, P., Polakof, S., Dardevet, D. P., Marmonier, C., Burton-Pimentel, K. J., Bütikofer, U., & Vergères, G. (2023) · Journal of Proteome Research · doi:10.1021/acs.jproteome.2c00674 · Cited by 6 · see citing works

Inflammation and Chronic Kidney Disease: Current Approaches and Recent Advances

Mihai, S., Codrici, E., Popescu, I. D., Enciu, A., Necula, L. G., Anton, G., & Tănase, C. (2018) · InTech eBooks · doi:10.5772/intechopen.72716 · Cited by 6 · see citing works

The Neuroimmunology of Autism

Varia, J. C., Herbert, M. R., & Hooker, B. S. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05589-8 · Cited by 7 · see citing works

Long-term intake of Lactobacillus paracasei KW3110 prevents age-related circadian locomotor activity and changes in gut metabolism in physiologically aged mice

Morita, Y., Jounai, K., Tomita, Y., & Maruyama, M. (2021) · Experimental Gerontology · doi:10.1016/j.exger.2021.111477 · Cited by 5 · see citing works

Insulin sensitivity in the aged heart is improved by down-regulation of KAT7 in vivo and in vitro

Wang, B., Li, J., Liu, L., & Song, G. (2022) · Cell Cycle · doi:10.1080/15384101.2021.2018811 · Cited by 5 · see citing works

GSPE Pre-Treatment Exerts Long-Lasting Preventive Effects against Aging-Induced Changes in the Colonic Enterohormone Profile of Female Rats

Miguéns‐Gómez, A., Sierra‐Cruz, M., Blay, M., Rodríguez‐Gallego, E., Beltrán‐Debón, R., Terra, X., Pinent, M., & Ardèvol, A. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24097807 · Cited by 4 · see citing works

African American Females Are Less Metabolically Flexible Compared with Caucasian American Females following a Single High-Fat Meal: A Pilot Study

Olenick, A., Pearson, R. C., Shaker, N., Blankenship, M. M., Tinius, R. A., Winchester, L. J., Oregon, E., & Maples, J. M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912913 · Cited by 3 · see citing works

Integrated Role of Nutrition and Physical Activity for Lifelong Health

Koehler, K., & Drenowatz, C. (2019) · MDPI eBooks · doi:10.3390/books978-3-03921-212-5 · Cited by 3 · see citing works

Dietary antioxidants and bioflavonoids in atherosclerosis and angiogenesis

Meydani, M., & Azzi, A. (2017) · doi:10.1002/9781119101277.ch6 · Cited by 3 · see citing works

Network Medicine Framework Shows Proximity of Polyphenol Targets and Disease Proteins is Predictive of the Therapeutic Effects of PolyphenolsPreprint

do Valle, Í. F., Roweth, H. G., Malloy, M. W., Moco, S., Barron, D., Battinelli, E. M., Loscalzo, J., & Barabási, A.-Ĺ. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.27.270173 · Cited by 3 · see citing works

Metabolic flexibility during late pregnancy is associated with neonatal adiposity

Tinius, R. A., Blankenship, M. M., Furgal, K. E., Cade, W. T., Duchette, C., Pearson, K. J., & Maples, J. M. (2021) · Applied Physiology Nutrition and Metabolism · doi:10.1139/apnm-2020-1005 · Cited by 2 · see citing works

Neurobiology of Sleep and Microbiomics in Aging

Larson‐Prior, L. J., Azhar, G., Davila, D., Jun, S., Kemp, A. S., Nookaew, I., Wei, J. Y., & Wassenaar, T. M. (2017) · OBM Neurobiology · doi:10.21926/obm.neurobiol.1702003 · Cited by 2 · see citing works

Resveratrol, SIRT1, oxidative stress, and brain aging

Sarubbo, F., Tejada, S., Esteban, S., Jiménez‐García, M., & Moranta, D. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818698-5.00033-x · Cited by 2 · see citing works

Proinflammatory primates

Sapolsky, R. M. (2016) · Science · doi:10.1126/science.aal3170 · Cited by 2 · see citing works

Platelet and Lymphocyte-Related Parameters as Potential Markers of Osteoarthritis Severity: A Cross-Sectional Study

Salamanna, F., Pagani, S., Filardo, G., Contartese, D., Boffa, A., Angelelli, L., Maglio, M., Fini, M., Zaffagnini, S., & Giavaresi, G. (2024) · Biomedicines · doi:10.3390/biomedicines12092052 · Cited by 1 · see citing works

Impacts of aging on brain metabolism

Rodrigues, B. A., Santiago, T. C., & Silva, J. D. N. (2025) · Progress in brain research · doi:10.1016/bs.pbr.2025.05.009 · Cited by 2 · see citing works

Healthy ageing phenotypes and trajectories

Collino, S., Comte, B., Pujos‐Guillot, E., Franceschi, C., Galindo, A. N., Dayon, L., & Kussmann, M. (2017) · doi:10.1093/med/9780198701590.003.0161 · Cited by 1 · see citing works

The Microbiome in Aging

Neto, M. C., & O’Toole, P. W. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-802304-4.00010-4 · Cited by 1 · see citing works

Translational Bioinformatics and Systems Biology for Understanding Inflammation

Yan, Q. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804328-8.00009-7 · Cited by 1 · see citing works

NESTORE: A Multidomain Virtual Coach for Active and Healthy Ageing

Guarneri, R., Mastropietro, A., & Rizzo, G. (2018) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-98551-0_16 · Cited by 1 · see citing works

Efeito da suplementação com glutamina sobre a inflamação sistêmica e a composição corporal de idosos

Freitas, A. M. D. P. (2015) · doi:10.11606/d.89.2015.tde-26052015-153623

Heart Failure with Normal Left Ventricular Ejection Fraction (HFNEF)

Krüger, W. A. (2017) · Springer eBooks · doi:10.1007/978-3-319-54973-6_5

Effect of inflammation on muscle protein synthesis and breakdown in the aged human skeletal muscle

Draganidis, D. (2018) · doi:10.12681/eadd/44554

Nutrition and Cancer

Mazurak, V. C. (2018) · MDPI eBooks · doi:10.3390/books978-3-03842-892-3

PRE-RETIREMENT ANXIETY AS A PREDICTOR OF AGEING ANXIETY AMONG TERTIARY INSTITUTION WORKERS IN ANAMBRA STATE, NIGERIA

Nkiruka, U. C. (2023) · International Journal of Advance Research in Education & Literature · doi:10.53555/nnel.v9i4.1634

The Activation Cycle of Chronic Inflammation, Innate Immunity and Tissue Damage: Eradicating Pathogens from the BodyPreprint

Matsuo, K., & Iwasa, Y. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4868577

Is intervening inflammatory pathways a way to treat type 2-diabetes

Pareek, A. K., Nikam, S., & Akolekar, R. (2025) · International Journal of Basic & Clinical Pharmacology · doi:10.18203/2319-2003.ijbcp20251074

Impact des traits d’histoire de vie du microcèbe (Microcebus murinus) dans la régulation du métabolisme en réponse à l’environnement

Terrien, J. (2025) · Revue de primatologie · doi:10.4000/14ycc

The extent of myeloid skewing in blood is a biomarker of biological aging in mice and humansPreprint

Niemann, J., Stahl, S., Sakk, V., Perez-Correa, J.-F., Wagner, W., Jaensch, A., Rothenbacher, D., Zheng, Y., Mulaw, M. A., Geiger, H., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.20.700344

Metabolic inflexibility mediates the association between type 2 diabetes and impaired post-exercise heart rate recovery: a mediation analysis

Liu, Y., Wu, J., Li, N., Zhang, S., Feng, Y., Zhang, Y., & Shao, Y. (2026) · Nutrition & Metabolism · doi:10.1186/s12986-026-01114-3

Integration of immune-metabolic signals to preserve healthy aging

Goldberg, E. L. (2020) · Translational Medicine of Aging · doi:10.1016/j.tma.2020.07.005 · Cited by 4 · see citing works

Editorial: The crosstalk between metabolism and inflammation in aging and longevity

Kumar, S., El‐Mansi, A. A., Noureldein, M. H., & Harper, J. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1734527

Inflammatory aging. Part 1. The principal biochemical mechanisms

Metelskaya, V. A., Timofeev, Y. S., Neshkova, E. A., Dubovskaya, N. I., & Drapkina, O. M. (2024) · Russian Journal of Preventive Medicine · doi:10.17116/profmed202427121145 · Cited by 4 · see citing works

Meta‐inflammaging at the crossroad of geroscience

Chen, G., & Yung, R. L. (2019) · Aging Medicine · doi:10.1002/agm2.12078 · Cited by 24 · see citing works

Inflammaging: a new immune–metabolic viewpoint for age-related diseases

Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0059-4 · Cited by 3,586 · see citing works