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Parents that are able to transmit information to their offspring about prevailing environmental conditions have a selective advantage by \u2018priming\u2019 the physiology of their offspring. We used a meta\u2010analytic approach to test the effect of parental diet on offspring immune responses. Using the geometric framework for nutrition (a method for analysing diet compositions wherein food nutrient components are expressed as axes in a Cartesian coordinate space) to define dietary manipulations in terms of their energy and macronutrient compositions, we compiled the results of 226 experiments from 38 published papers on the intergenerational effects of diet on immunity, across a range of study species and immunological responses. We observed intergenerational impacts of parental nutrition on a number of offspring immunological processes, including expression of pro\u2010inflammatory biomarkers as well as decreases in anti\u2010inflammatory markers in response to certain parental diets. For example, across our data set as a whole (encompassing several types of dietary manipulation), dietary stress in parents was seen to significantly increase pro\u2010inflammatory cytokine levels measured in offspring (overall <jats:italic>d<\/jats:italic>\u00a0=\u00a00.575). All studies included in our analysis were from experiments in which the offspring were raised on a normal or control diet, so our findings suggest that a nutrition\u2010dependent immune state can be inherited, and that this immune state is maintained in the short term, despite offspring returning to an \u2018optimal\u2019 diet. We demonstrate how the geometric framework for nutrition can be used to disentangle the role that different forms of dietary manipulation can have on intergenerational immunity. For example, offspring B\u2010cell responses were significantly decreased when parents were raised on a range of different diets. Similarly, our approach allowed us to show that a parental diet elevated in protein (regardless of energy composition and relative to a control diet) can increase expression of inflammatory markers while decreasing B\u2010cell\u2010associated markers. By conducting a systematic review of the literature, we have identified important gaps that impair our understanding of the intergenerational effects of diet, such as a paucity of experimental studies involving increased protein and decreased energy, and a lack of studies directed at the whole\u2010organism consequences of these processes, such as immune resilience to infection. The results of our analyses inform our understanding of the effects of diet on physiological state across diverse biological fields, including biomedical sciences, maintenance of agricultural breed stock and conservation breeding programs, among others.<\/jats:p>","DOI":"10.1111\/brv.12387","type":"journal-article","created":{"date-parts":[[2017,11,27]],"date-time":"2017-11-27T05:03:13Z","timestamp":1511758993000},"page":"1108-1124","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Intergenerational effects of nutrition on immunity: a systematic review and meta\u2010analysis"],"prefix":"10.1111","volume":"93","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8179-1822","authenticated-orcid":false,"given":"Catherine E.","family":"Grueber","sequence":"first","affiliation":[{"name":"The University of Sydney, Faculty of Science, School of Life and Environmental Sciences  NSW 2006 Australia"},{"name":"San Diego Zoo Global  PO Box 120551, San Diego CA 92112 U.S.A."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lindsey J.","family":"Gray","sequence":"additional","affiliation":[{"name":"The University of Sydney, Faculty of Science, School of Life and Environmental Sciences  NSW 2006 Australia"},{"name":"The University of Sydney Charles Perkins Centre  NSW 2006 Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katrina M.","family":"Morris","sequence":"additional","affiliation":[{"name":"The Roslin Institute The University of Edinburgh  Easter Bush Campus, Midlothian EH25 9RG U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Stephen J.","family":"Simpson","sequence":"additional","affiliation":[{"name":"The University of Sydney, Faculty of Science, School of Life and Environmental Sciences  NSW 2006 Australia"},{"name":"The University of Sydney Charles Perkins Centre  NSW 2006 Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alistair M.","family":"Senior","sequence":"additional","affiliation":[{"name":"The University of Sydney Charles Perkins Centre  NSW 2006 Australia"},{"name":"The University of Sydney, Faculty of Science School of Mathematics and Statistics  NSW 2006 Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2017,11,27]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/zoo.21210"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2014.00491"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1093\/ajcn\/82.1.1"},{"key":"e_1_2_7_5_1","first-page":"177","volume-title":"Epizootiology of Insect Diseases","author":"Benz G.","year":"1987"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.3382\/ps.2013-03177"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/brv.12210"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.1096\/fj.09-144014"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1042\/CS20110487"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrg3964"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s004420050004"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2012.1073"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1002\/9780470743386"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.3945\/jn.109.111179"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.3389\/fimmu.2014.00459"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v045.i03"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0271-5317(00)00190-1"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1071\/RD14147"},{"key":"e_1_2_7_19_1","article-title":"Lepbase: the Lepidopteran genome database","author":"Challis R. 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