{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T12:16:36Z","timestamp":1770984996178,"version":"3.50.1"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T00:00:00Z","timestamp":1768867200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T00:00:00Z","timestamp":1770940800000},"content-version":"vor","delay-in-days":24,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"Shanghai Post-doctoral Excellence Program","award":["2024409"],"award-info":[{"award-number":["2024409"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2025M771943"],"award-info":[{"award-number":["2025M771943"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Project of Science and Technology of Hunan Province","award":["2021JJ40932"],"award-info":[{"award-number":["2021JJ40932"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Big Data"],"DOI":"10.1186\/s40537-025-01355-8","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T01:44:27Z","timestamp":1768873467000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Multi-omics Mendelian randomization revealing SEMA7A as potential drug target for facial skin aging"],"prefix":"10.1186","volume":"13","author":[{"given":"Xueyao","family":"Cai","sequence":"first","affiliation":[]},{"given":"Weidong","family":"Li","sequence":"additional","affiliation":[]},{"given":"Wenjun","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Yuchen","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Jianda","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,20]]},"reference":[{"key":"1355_CR1","doi-asserted-by":"publisher","first-page":"S230","DOI":"10.1093\/geront\/gnw003","volume":"56","author":"U Blume-Peytavi","year":"2016","unstructured":"Blume-Peytavi U, Kottner J, Sterry W, Hodin MW, Griffiths TW, Watson REB, et al. Age-associated skin conditions and diseases: current perspectives and future options. Gerontologist. 2016;56:S230\u201342. https:\/\/doi.org\/10.1093\/geront\/gnw003.","journal-title":"Gerontologist"},{"key":"1355_CR2","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1111\/ics.12779","volume":"44","author":"D Zargaran","year":"2022","unstructured":"Zargaran D, Zoller F, Zargaran A, Weyrich T, Mosahebi A. Facial skin ageing: key concepts and overview of processes. Int J Cosmet Sci. 2022;44:414\u201320. https:\/\/doi.org\/10.1111\/ics.12779.","journal-title":"Int J Cosmet Sci"},{"key":"1355_CR3","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.jdermsci.2016.09.015","volume":"85","author":"J Krutmann","year":"2017","unstructured":"Krutmann J, Bouloc A, Sore G, Bernard BA, Passeron T. The skin aging exposome. J Dermatol Sci. 2017;85:152\u201361. https:\/\/doi.org\/10.1016\/j.jdermsci.2016.09.015.","journal-title":"J Dermatol Sci"},{"key":"1355_CR4","doi-asserted-by":"publisher","first-page":"280","DOI":"10.4161\/derm.22372","volume":"4","author":"E Makrantonaki","year":"2012","unstructured":"Makrantonaki E, Bekou V, Zouboulis CC. Genetics and skin aging. Dermatoendocrinol. 2012;4:280\u20134. https:\/\/doi.org\/10.4161\/derm.22372.","journal-title":"Dermatoendocrinol"},{"key":"1355_CR5","doi-asserted-by":"publisher","first-page":"1195272","DOI":"10.3389\/fphys.2023.1195272","volume":"14","author":"SH Shin","year":"2023","unstructured":"Shin SH, Lee YH, Rho N-K, Park KY. Skin aging from mechanisms to interventions: focusing on dermal aging. Front Physiol. 2023;14:1195272. https:\/\/doi.org\/10.3389\/fphys.2023.1195272.","journal-title":"Front Physiol"},{"key":"1355_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.celrep.2022.110459","volume":"38","author":"C Nie","year":"2022","unstructured":"Nie C, Li Y, Li R, Yan Y, Zhang D, Li T, et al. Distinct biological ages of organs and systems identified from a multi-omics study. Cell Rep. 2022;38:110459. https:\/\/doi.org\/10.1016\/j.celrep.2022.110459.","journal-title":"Cell Rep"},{"key":"1355_CR7","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1159\/000305548","volume":"221","author":"S Cho","year":"2010","unstructured":"Cho S, Lee DH, Won C-H, Kim SM, Lee S, Lee M-J, et al. Differential effects of low-dose and high-dose beta-carotene supplementation on the signs of photoaging and type I procollagen gene expression in human skin in vivo. Dermatology. 2010;221:160\u201371. https:\/\/doi.org\/10.1159\/000305548.","journal-title":"Dermatology"},{"key":"1355_CR8","doi-asserted-by":"publisher","first-page":"4","DOI":"10.2340\/00015555-1614","volume":"94","author":"H-S Yoon","year":"2014","unstructured":"Yoon H-S, Lee S-R, Chung JH. Long-term topical oestrogen treatment of sun-exposed facial skin in post-menopausal women does not improve facial wrinkles or skin elasticity, but induces matrix metalloproteinase-1 expression. Acta Derm Venereol. 2014;94:4\u20138. https:\/\/doi.org\/10.2340\/00015555-1614.","journal-title":"Acta Derm Venereol"},{"key":"1355_CR9","doi-asserted-by":"publisher","first-page":"2650","DOI":"10.1111\/jocd.15923","volume":"22","author":"S King","year":"2023","unstructured":"King S, Campbell J, Rowe R, Daly M, Moncrieff G, Maybury C. A systematic review to evaluate the efficacy of azelaic acid in the management of acne, rosacea, melasma and skin aging. J Cosmet Dermatol. 2023;22:2650\u201362. https:\/\/doi.org\/10.1111\/jocd.15923.","journal-title":"J Cosmet Dermatol"},{"issue":"12","key":"1355_CR10","doi-asserted-by":"publisher","DOI":"10.1111\/dth.15903","volume":"35","author":"B Bravo","year":"2022","unstructured":"Bravo B, Correia P, Gon\u00e7alves Junior JE, Sant\u2019Anna B, Kerob D. Benefits of topical hyaluronic acid for skin quality and signs of skin aging: from literature review to clinical evidence. Dermatol Ther. 2022;35(12):e15903. https:\/\/doi.org\/10.1111\/dth.15903.","journal-title":"Dermatol Ther"},{"key":"1355_CR11","doi-asserted-by":"publisher","first-page":"3253","DOI":"10.1681\/ASN.2016010098","volume":"27","author":"P Sekula","year":"2016","unstructured":"Sekula P, Del Greco M F F, Pattaro C, K\u00f6ttgen A. Mendelian randomization as an approach to assess causality using observational data. J Am Soc Nephrol. 2016;27:3253\u201365. https:\/\/doi.org\/10.1681\/ASN.2016010098.","journal-title":"J Am Soc Nephrol"},{"key":"1355_CR12","doi-asserted-by":"publisher","first-page":"1416","DOI":"10.1016\/j.jid.2019.03.1138","volume":"139","author":"A Budu-Aggrey","year":"2019","unstructured":"Budu-Aggrey A, Paternoster L. Research techniques made simple: using genetic variants for randomization. J Invest Dermatol. 2019;139:1416-1421.e1. https:\/\/doi.org\/10.1016\/j.jid.2019.03.1138.","journal-title":"J Invest Dermatol"},{"key":"1355_CR13","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1002\/path.5421","volume":"250","author":"H Gala","year":"2020","unstructured":"Gala H, Tomlinson I. The use of Mendelian randomisation to identify causal cancer risk factors: promise and limitations. J Pathol. 2020;250:541\u201354. https:\/\/doi.org\/10.1002\/path.5421.","journal-title":"J Pathol"},{"key":"1355_CR14","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1038\/s41467-023-36231-7","volume":"14","author":"H Julkunen","year":"2023","unstructured":"Julkunen H, Cicho\u0144ska A, Tiainen M, Koskela H, Nybo K, M\u00e4kel\u00e4 V, et al. Atlas of plasma NMR biomarkers for health and disease in 118,461 individuals from the UK Biobank. Nat Commun. 2023;14:604. https:\/\/doi.org\/10.1038\/s41467-023-36231-7.","journal-title":"Nat Commun"},{"key":"1355_CR15","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1038\/s41586-024-07148-y","volume":"628","author":"MK Karjalainen","year":"2024","unstructured":"Karjalainen MK, Karthikeyan S, Oliver-Williams C, Sliz E, Allara E, Fung WT, et al. Genome-wide characterization of circulating metabolic biomarkers. Nature. 2024;628:130\u20138. https:\/\/doi.org\/10.1038\/s41586-024-07148-y.","journal-title":"Nature"},{"key":"1355_CR16","doi-asserted-by":"publisher","DOI":"10.1159\/000543848","author":"Y Cai","year":"2025","unstructured":"Cai Y, Zhou T, Shi W, Cai X, Ding X, Fu Y. Comprehensive immune landscape in allergic conjunctivitis: insights from Mendelian randomization analysis. Int Arch Allergy Immunol. 2025. https:\/\/doi.org\/10.1159\/000543848.","journal-title":"Int Arch Allergy Immunol"},{"key":"1355_CR17","doi-asserted-by":"publisher","first-page":"5506","DOI":"10.1016\/j.csbj.2023.11.002","volume":"21","author":"Y Cai","year":"2023","unstructured":"Cai Y, Fang F, Zhou T, Shi W, Cai X, Fu Y. Genetic evidence implicating circulating lipids and lipid drug targets in pterygium. Comput Struct Biotechnol J. 2023;21:5506\u201314. https:\/\/doi.org\/10.1016\/j.csbj.2023.11.002.","journal-title":"Comput Struct Biotechnol J"},{"key":"1355_CR18","doi-asserted-by":"publisher","first-page":"1651","DOI":"10.1093\/ije\/dyab084","volume":"50","author":"C Minelli","year":"2021","unstructured":"Minelli C, Del Greco M. F, Van Der Plaat DA, Bowden J, Sheehan NA, Thompson J. The use of two-sample methods for Mendelian randomization analyses on single large datasets. Int J Epidemiol. 2021;50:1651\u20139. https:\/\/doi.org\/10.1093\/ije\/dyab084.","journal-title":"Int J Epidemiol"},{"key":"1355_CR19","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1002\/gepi.21965","volume":"40","author":"J Bowden","year":"2016","unstructured":"Bowden J, Davey Smith G, Haycock PC, Burgess S. Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40:304\u201314. https:\/\/doi.org\/10.1002\/gepi.21965.","journal-title":"Genet Epidemiol"},{"key":"1355_CR20","doi-asserted-by":"publisher","DOI":"10.1093\/ije\/dyw220","author":"J Bowden","year":"2016","unstructured":"Bowden J, Del Greco MF, Minelli C, Davey Smith G, Sheehan NA, Thompson JR. Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic. Int J Epidemiol. 2016. https:\/\/doi.org\/10.1093\/ije\/dyw220.","journal-title":"Int J Epidemiol"},{"key":"1355_CR21","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.1093\/ije\/dyx102","volume":"46","author":"FP Hartwig","year":"2017","unstructured":"Hartwig FP, Davey Smith G, Bowden J. Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption. Int J Epidemiol. 2017;46:1985\u201398. https:\/\/doi.org\/10.1093\/ije\/dyx102.","journal-title":"Int J Epidemiol"},{"key":"1355_CR22","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1097\/EDE.0000000000000559","volume":"28","author":"S Burgess","year":"2017","unstructured":"Burgess S, Bowden J, Fall T, Ingelsson E, Thompson SG. Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants. Epidemiology. 2017;28:30\u201342. https:\/\/doi.org\/10.1097\/EDE.0000000000000559.","journal-title":"Epidemiology"},{"key":"1355_CR23","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1002\/jrsm.1346","volume":"10","author":"J Bowden","year":"2019","unstructured":"Bowden J, Holmes MV. Meta\u2010analysis and Mendelian randomization: a review. Res Synth Methods. 2019;10:486\u201396. https:\/\/doi.org\/10.1002\/jrsm.1346.","journal-title":"Res Synth Methods"},{"key":"1355_CR24","doi-asserted-by":"publisher","DOI":"10.3389\/fendo.2022.949061","volume":"13","author":"S Bankier","year":"2022","unstructured":"Bankier S, Michoel T. eQTLs as causal instruments for the reconstruction of hormone linked gene networks. Front Endocrinol. 2022;13:949061. https:\/\/doi.org\/10.3389\/fendo.2022.949061.","journal-title":"Front Endocrinol"},{"key":"1355_CR25","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pgen.1004461","volume":"10","author":"J Bryois","year":"2014","unstructured":"Bryois J, Buil A, Evans DM, Kemp JP, Montgomery SB, Conrad DF, et al. Cis and trans effects of human genomic variants on gene expression. PLoS Genet. 2014;10:e1004461. https:\/\/doi.org\/10.1371\/journal.pgen.1004461.","journal-title":"PLoS Genet"},{"key":"1355_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.xgen.2024.100506","volume":"4","author":"K Suhre","year":"2024","unstructured":"Suhre K. Genetic associations with ratios between protein levels detect new pQTLs and reveal protein-protein interactions. Cell Genomics. 2024;4:100506. https:\/\/doi.org\/10.1016\/j.xgen.2024.100506.","journal-title":"Cell Genomics"},{"key":"1355_CR27","doi-asserted-by":"publisher","first-page":"eaag1166","DOI":"10.1126\/scitranslmed.aag1166","volume":"9","author":"C Finan","year":"2017","unstructured":"Finan C, Gaulton A, FelixA K, Lumbers RT, Shah T, Engmann J, et al. The druggable genome and support for target identification and validation in drug development. Sci Transl Med. 2017;9:eaag1166. https:\/\/doi.org\/10.1126\/scitranslmed.aag1166.","journal-title":"Sci Transl Med"},{"key":"1355_CR28","doi-asserted-by":"publisher","first-page":"1300","DOI":"10.1038\/s41588-021-00913-z","volume":"53","author":"U V\u00f5sa","year":"2021","unstructured":"V\u00f5sa U, Claringbould A, Westra H-J, Bonder MJ, Deelen P, Zeng B, et al. Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nat Genet. 2021;53:1300\u201310. https:\/\/doi.org\/10.1038\/s41588-021-00913-z.","journal-title":"Nat Genet"},{"key":"1355_CR29","doi-asserted-by":"publisher","first-page":"1712","DOI":"10.1038\/s41588-021-00978-w","volume":"53","author":"E Ferkingstad","year":"2021","unstructured":"Ferkingstad E, Sulem P, Atlason BA, Sveinbjornsson G, Magnusson MI, Styrmisdottir EL, et al. Large-scale integration of the plasma proteome with genetics and disease. Nat Genet. 2021;53:1712\u201321. https:\/\/doi.org\/10.1038\/s41588-021-00978-w.","journal-title":"Nat Genet"},{"key":"1355_CR30","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1038\/s41586-018-0175-2","volume":"558","author":"BB Sun","year":"2018","unstructured":"Sun BB, Maranville JC, Peters JE, Stacey D, Staley JR, Blackshaw J, et al. Genomic atlas of the human plasma proteome. Nature. 2018;558:73\u20139. https:\/\/doi.org\/10.1038\/s41586-018-0175-2.","journal-title":"Nature"},{"key":"1355_CR31","doi-asserted-by":"publisher","first-page":"769","DOI":"10.1126\/science.aaq1327","volume":"361","author":"V Emilsson","year":"2018","unstructured":"Emilsson V, Ilkov M, Lamb JR, Finkel N, Gudmundsson EF, Pitts R, et al. Co-regulatory networks of human serum proteins link genetics to disease. Science. 2018;361:769\u201373. https:\/\/doi.org\/10.1126\/science.aaq1327.","journal-title":"Science"},{"key":"1355_CR32","doi-asserted-by":"publisher","DOI":"10.1126\/science.aal3321","volume":"356","author":"PJ Thul","year":"2017","unstructured":"Thul PJ, \u00c5kesson L, Wiking M, Mahdessian D, Geladaki A, Ait Blal H, et al. A subcellular map of the human proteome. Science. 2017;356:eaal3321. https:\/\/doi.org\/10.1126\/science.aal3321.","journal-title":"Science"},{"key":"1355_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.isci.2023.106314","volume":"26","author":"S-P Gravel","year":"2023","unstructured":"Gravel S-P, Ben Khalifa Y, McGuirk S, St-Louis C, Laurin KM, Lavall\u00e9e \u00c9, et al. PGC-1s shape epidermal physiology by modulating keratinocyte proliferation and terminal differentiation. iScience. 2023;26:106314. https:\/\/doi.org\/10.1016\/j.isci.2023.106314.","journal-title":"iScience"},{"key":"1355_CR34","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1111\/exd.14219","volume":"30","author":"DL Bjerke","year":"2021","unstructured":"Bjerke DL, Li R, Price JM, Dobson RLM, Rodrigues M, Tey C, et al. The vitamin A ester retinyl propionate has a unique metabolic profile and higher retinoid-related bioactivity over retinol and retinyl palmitate in human skin models. Exp Dermatol. 2021;30:226\u201336. https:\/\/doi.org\/10.1111\/exd.14219.","journal-title":"Exp Dermatol"},{"key":"1355_CR35","doi-asserted-by":"publisher","first-page":"3069","DOI":"10.1093\/bioinformatics\/btv313","volume":"31","author":"M Yoo","year":"2015","unstructured":"Yoo M, Shin J, Kim J, Ryall KA, Lee K, Lee S, et al. DSigDB: drug signatures database for gene set analysis. Bioinformatics. 2015;31:3069\u201371. https:\/\/doi.org\/10.1093\/bioinformatics\/btv313.","journal-title":"Bioinformatics"},{"key":"1355_CR36","doi-asserted-by":"publisher","first-page":"1363","DOI":"10.1038\/s41374-021-00621-6","volume":"101","author":"Y Liu","year":"2021","unstructured":"Liu Y, Xiong W, Wang C-W, Shi J-P, Shi Z-Q, Zhou J-D. Resveratrol promotes skin wound healing by regulating the miR-212\/CASP8 axis. Lab Invest. 2021;101:1363\u201370. https:\/\/doi.org\/10.1038\/s41374-021-00621-6.","journal-title":"Lab Invest"},{"key":"1355_CR37","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1016\/j.jid.2020.11.006","volume":"141","author":"SM Pilkington","year":"2021","unstructured":"Pilkington SM, Bulfone-Paus S, Griffiths CEM, Watson REB. Inflammaging and the skin. J Invest Dermatol. 2021;141:1087\u201395. https:\/\/doi.org\/10.1016\/j.jid.2020.11.006.","journal-title":"J Invest Dermatol"},{"key":"1355_CR38","doi-asserted-by":"publisher","DOI":"10.3390\/ijms22083849","volume":"22","author":"YI Lee","year":"2021","unstructured":"Lee YI, Choi S, Roh WS, Lee JH, Kim T-G. Cellular senescence and inflammaging in the skin microenvironment. Int J Mol Sci. 2021;22:3849. https:\/\/doi.org\/10.3390\/ijms22083849.","journal-title":"Int J Mol Sci"},{"key":"1355_CR39","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2017527118","volume":"118","author":"A K\u00f6rner","year":"2021","unstructured":"K\u00f6rner A, Bernard A, Fitzgerald JC, Alarcon-Barrera JC, Kostidis S, Kaussen T, et al. Sema7A is crucial for resolution of severe inflammation. Proc Natl Acad Sci USA. 2021;118:e2017527118. https:\/\/doi.org\/10.1073\/pnas.2017527118.","journal-title":"Proc Natl Acad Sci USA"},{"issue":"1","key":"1355_CR40","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1038\/sj.jid.5700974","volume":"128","author":"GA Scott","year":"2008","unstructured":"Scott GA, McClelland LA, Fricke AF. <article-title update=\"added\">Semaphorin 7a promotes spreading and dendricity in human melanocytes through \u03b21-integrins. J Invest Dermatol. 2008;128(1):151\u201361. https:\/\/doi.org\/10.1038\/sj.jid.5700974.","journal-title":"J Invest Dermatol"},{"key":"1355_CR41","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1016\/j.jdermsci.2011.02.004","volume":"62","author":"M Kamata","year":"2011","unstructured":"Kamata M, Tada Y, Uratsuji H, Kawashima T, Asano Y, Sugaya M, et al. Semaphorin 7A on keratinocytes induces interleukin-8 production by monocytes. J Dermatol Sci. 2011;62:176\u201382. https:\/\/doi.org\/10.1016\/j.jdermsci.2011.02.004.","journal-title":"J Dermatol Sci"},{"key":"1355_CR42","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.molmed.2013.01.003","volume":"19","author":"H Eixarch","year":"2013","unstructured":"Eixarch H, Guti\u00e9rrez-Franco A, Montalban X, Espejo C. Semaphorins 3A and 7A: potential immune and neuroregenerative targets in multiple sclerosis. Trends Mol Med. 2013;19:157\u201364. https:\/\/doi.org\/10.1016\/j.molmed.2013.01.003.","journal-title":"Trends Mol Med"},{"key":"1355_CR43","doi-asserted-by":"publisher","first-page":"352","DOI":"10.1159\/000100890","volume":"214","author":"E Makrantonaki","year":"2007","unstructured":"Makrantonaki E, Zouboulis CC. Characteristics and pathomechanisms of endogenously aged skin. Dermatology. 2007;214:352\u201360. https:\/\/doi.org\/10.1159\/000100890.","journal-title":"Dermatology"},{"key":"1355_CR44","doi-asserted-by":"publisher","DOI":"10.1111\/acel.13550","volume":"21","author":"L Costello","year":"2022","unstructured":"Costello L, Dicolandrea T, Tasseff R, Isfort R, Bascom C, Von Zglinicki T, et al. Tissue engineering strategies to bioengineer the ageing skin phenotype in vitro. Aging Cell. 2022;21:e13550. https:\/\/doi.org\/10.1111\/acel.13550.","journal-title":"Aging Cell"},{"key":"1355_CR45","doi-asserted-by":"publisher","first-page":"1327","DOI":"10.21873\/invivo.12385","volume":"35","author":"J Pogorzelska-Dyrbus","year":"2021","unstructured":"Pogorzelska-Dyrbus J, Szepietowski JC. Adhesion molecules in non-melanoma skin cancers: a comprehensive review. In Vivo. 2021;35:1327\u201336. https:\/\/doi.org\/10.21873\/invivo.12385.","journal-title":"In Vivo"},{"key":"1355_CR46","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/s12964-022-01024-w","volume":"21","author":"X Li","year":"2023","unstructured":"Li X, Xie W, Pan Q, Zhang X, Zhang L, Zhao N, et al. Semaphorin 7A interacts with nuclear factor NF-kappa-B p105 via integrin \u03b21 and mediates inflammation. Cell Commun Signal. 2023;21:24. https:\/\/doi.org\/10.1186\/s12964-022-01024-w.","journal-title":"Cell Commun Signal"},{"key":"1355_CR47","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1111\/jdv.15880","volume":"34","author":"EKJ Van Der Poort","year":"2020","unstructured":"Van Der Poort EKJ, Gunn DA, Beekman M, Griffiths CEM, Slagboom PE, Van Heemst D, et al. Basal cell carcinoma genetic susceptibility increases the rate of skin ageing: a Mendelian randomization study. J Eur Acad Dermatol Venereol. 2020;34:97\u2013100. https:\/\/doi.org\/10.1111\/jdv.15880.","journal-title":"J Eur Acad Dermatol Venereol"},{"key":"1355_CR48","doi-asserted-by":"publisher","first-page":"1887","DOI":"10.1016\/j.jid.2017.04.026","volume":"137","author":"MH Law","year":"2017","unstructured":"Law MH, Medland SE, Zhu G, Yazar S, Vi\u00f1uela A, Wallace L, et al. Genome-wide association shows that pigmentation genes play a role in skin aging. J Invest Dermatol. 2017;137:1887\u201394. https:\/\/doi.org\/10.1016\/j.jid.2017.04.026.","journal-title":"J Invest Dermatol"},{"key":"1355_CR49","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1038\/jid.2015.62","volume":"135","author":"LC Jacobs","year":"2015","unstructured":"Jacobs LC, Hamer MA, Gunn DA, Deelen J, Lall JS, Van Heemst D, et al. A genome-wide association study identifies the skin color genes IRF4, MC1R, ASIP, and BNC2 influencing facial pigmented spots. J Invest Dermatol. 2015;135:1735\u201342. https:\/\/doi.org\/10.1038\/jid.2015.62.","journal-title":"J Invest Dermatol"},{"key":"1355_CR50","doi-asserted-by":"publisher","first-page":"1213","DOI":"10.1016\/j.cub.2016.03.008","volume":"26","author":"F Liu","year":"2016","unstructured":"Liu F, Hamer MA, Deelen J, Lall JS, Jacobs L, van Heemst D, et al. The MC1R gene and youthful looks. Curr Biol. 2016;26:1213\u201320. https:\/\/doi.org\/10.1016\/j.cub.2016.03.008.","journal-title":"Curr Biol"},{"key":"1355_CR51","doi-asserted-by":"publisher","first-page":"392","DOI":"10.5114\/ada.2019.87443","volume":"36","author":"M Zasada","year":"2019","unstructured":"Zasada M, Budzisz E. Retinoids: active molecules influencing skin structure formation in cosmetic and dermatological treatments. Adv Dermatol Allergol. 2019;36:392\u20137. https:\/\/doi.org\/10.5114\/ada.2019.87443.","journal-title":"Adv Dermatol Allergol"},{"key":"1355_CR52","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1016\/j.bbrc.2012.06.125","volume":"424","author":"J Qiao","year":"2012","unstructured":"Qiao J, Paul P, Lee S, Qiao L, Josifi E, Tiao JR, et al. PI3K\/AKT and ERK regulate retinoic acid-induced neuroblastoma cellular differentiation. Biochem Biophys Res Commun. 2012;424:421\u20136. https:\/\/doi.org\/10.1016\/j.bbrc.2012.06.125.","journal-title":"Biochem Biophys Res Commun"},{"key":"1355_CR53","doi-asserted-by":"publisher","first-page":"939","DOI":"10.1016\/j.cellsig.2013.01.013","volume":"25","author":"MA de Bittencourt Pasquali","year":"2013","unstructured":"de Bittencourt Pasquali MA, Gelain DP, Zeid\u00e1n-Chuli\u00e1 F, Pires AS, Gasparotto J, Terra SR, et al. Vitamin A (retinol) downregulates the receptor for advanced glycation endproducts (RAGE) by oxidant-dependent activation of p38 MAPK and NF-kB in human lung cancer A549 cells. Cell Signal. 2013;25:939\u201354. https:\/\/doi.org\/10.1016\/j.cellsig.2013.01.013.","journal-title":"Cell Signal"},{"issue":"1","key":"1355_CR54","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/s12964-022-01024-w","volume":"21","author":"X Li","year":"2023","unstructured":"Li X, Xie W, Pan Q, Zhang X, Zhang L, Zhao N, et al. Semaphorin 7A interacts with nuclear factor NF-kappa-B p105 via integrin \u03b21 and mediates inflammation. Cell Commun Signal. 2023;21(1):24. https:\/\/doi.org\/10.1186\/s12964-022-01024-w.","journal-title":"Cell Commun Signal"},{"key":"1355_CR55","doi-asserted-by":"publisher","first-page":"695","DOI":"10.1038\/s41419-020-02818-x","volume":"11","author":"L Hong","year":"2020","unstructured":"Hong L, Li F, Tang C, Li L, Sun L, Li X, et al. Semaphorin 7A promotes endothelial to mesenchymal transition through ATF3 mediated TGF-\u03b22\/Smad signaling. Cell Death Dis. 2020;11:695. https:\/\/doi.org\/10.1038\/s41419-020-02818-x.","journal-title":"Cell Death Dis"},{"key":"1355_CR56","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1080\/15569527.2022.2081702","volume":"41","author":"Q Zhang","year":"2022","unstructured":"Zhang Q, Qiao S, Yang C, Jiang G. Nuclear factor-kappa B and effector molecules in photoaging. Cutan Ocul Toxicol. 2022;41:187\u201393. https:\/\/doi.org\/10.1080\/15569527.2022.2081702.","journal-title":"Cutan Ocul Toxicol"},{"key":"1355_CR57","doi-asserted-by":"publisher","DOI":"10.1016\/j.ebiom.2022.104199","volume":"83","author":"Y Chen","year":"2022","unstructured":"Chen Y, Xu X, Wang L, Li K, Sun Y, Xiao L, et al. Genetic insights into therapeutic targets for aortic aneurysms: a Mendelian randomization study. EBioMedicine. 2022;83:104199. https:\/\/doi.org\/10.1016\/j.ebiom.2022.104199.","journal-title":"EBioMedicine"},{"key":"1355_CR58","doi-asserted-by":"publisher","first-page":"7342","DOI":"10.1038\/s41467-021-26280-1","volume":"12","author":"CS Storm DA Kia MM Almramhi S Bandres-Ciga C Finan International Parkinson\u2019s Disease Genomics Consortium (IPDGC) et al","year":"2021","unstructured":"CS Storm DA Kia MM Almramhi S Bandres-Ciga C Finan International Parkinson\u2019s Disease Genomics Consortium (IPDGC) et al. Finding genetically-supported drug targets for Parkinson\u2019s disease using Mendelian randomization of the druggable genome. Nat Commun. 2021;12:7342. https:\/\/doi.org\/10.1038\/s41467-021-26280-1.","journal-title":"Nat Commun"},{"key":"1355_CR59","doi-asserted-by":"publisher","first-page":"4215","DOI":"10.1016\/j.csbj.2023.08.026","volume":"21","author":"Y Cai","year":"2023","unstructured":"Cai Y, Zhang S, Chen L, Fu Y. Integrated multi-omics and machine learning approach reveals lipid metabolic biomarkers and signaling in age-related meibomian gland dysfunction. Comput Struct Biotechnol J. 2023;21:4215\u201327. https:\/\/doi.org\/10.1016\/j.csbj.2023.08.026.","journal-title":"Comput Struct Biotechnol J"},{"key":"1355_CR60","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.cca.2021.06.029","volume":"521","author":"X Su","year":"2021","unstructured":"Su X, Chen X, Wang B. Pathology of metabolically-related dyslipidemia. Clin Chim Acta. 2021;521:107\u201315. https:\/\/doi.org\/10.1016\/j.cca.2021.06.029.","journal-title":"Clin Chim Acta"},{"key":"1355_CR61","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.atherosclerosis.2015.01.039","volume":"239","author":"M-R Taskinen","year":"2015","unstructured":"Taskinen M-R, Bor\u00e9n J. New insights into the pathophysiology of dyslipidemia in type 2 diabetes. Atherosclerosis. 2015;239:483\u201395. https:\/\/doi.org\/10.1016\/j.atherosclerosis.2015.01.039.","journal-title":"Atherosclerosis"},{"key":"1355_CR62","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1016\/j.semarthrit.2015.10.010","volume":"45","author":"K Tselios","year":"2016","unstructured":"Tselios K, Koumaras C, Gladman DD, Urowitz MB. Dyslipidemia in systemic lupus erythematosus: just another comorbidity? Semin Arthritis Rheum. 2016;45:604\u201310. https:\/\/doi.org\/10.1016\/j.semarthrit.2015.10.010.","journal-title":"Semin Arthritis Rheum"},{"key":"1355_CR63","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1186\/s40246-023-00470-y","volume":"17","author":"Z Liu","year":"2023","unstructured":"Liu Z, Mi J, Wu H. Relationships between circulating metabolites and facial skin aging: a Mendelian randomization study. Hum Genomics. 2023;17:23. https:\/\/doi.org\/10.1186\/s40246-023-00470-y.","journal-title":"Hum Genomics"},{"key":"1355_CR64","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1111\/exd.12647","volume":"24","author":"Y Ramot","year":"2015","unstructured":"Ramot Y, Mastrofrancesco A, Camera E, Desreumaux P, Paus R, Picardo M. The role of PPAR \u03b3 \u2010mediated signalling in skin biology and pathology: new targets and opportunities for clinical dermatology. Exp Dermatol. 2015;24:245\u201351. https:\/\/doi.org\/10.1111\/exd.12647.","journal-title":"Exp Dermatol"}],"container-title":["Journal of Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s40537-025-01355-8","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40537-025-01355-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s40537-025-01355-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T11:30:35Z","timestamp":1770982235000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s40537-025-01355-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,20]]},"references-count":64,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["1355"],"URL":"https:\/\/doi.org\/10.1186\/s40537-025-01355-8","relation":{},"ISSN":["2196-1115"],"issn-type":[{"value":"2196-1115","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,20]]},"assertion":[{"value":"31 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 December 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 January 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"23"}}