{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T23:54:39Z","timestamp":1785455679822,"version":"3.56.0"},"reference-count":71,"publisher":"Wiley","issue":"15","license":[{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["analyticalsciencejournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Rapid Comm Mass Spectrometry"],"published-print":{"date-parts":[[2026,8,15]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Rationale<\/jats:title>\n                    <jats:p>Biological systems are regulated through strongly interconnected molecular layers that cannot be accurately resolved using single\u2010omics approaches. Although genomics and transcriptomics provide essential regulatory information, they often face obstacles to reflect functional molecular outcomes. Mass spectrometry (MS)\u2010based multi\u2010omics integration is currently recognized as a central analytical strategy to overcome this limitation by enabling direct, high\u2010resolution measurement of proteins, metabolites, and lipids, thereby supporting systems\u2010level biological interpretation and translational discovery.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This review critically examines mass spectrometry\u2010based multi\u2010omics approaches through analysis of published literature, with a focus on integrating proteomic, metabolomic, lipidomic, and spatial omics data. Computational frameworks and translational applications relevant to biomarker discovery and precision medicine are highlighted.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>MS\u2010centered multi\u2010omics integration significantly enhances molecular coverage, quantitative accuracy, and pathway\u2010level interpretation by combining various analytical layers. Applications across cancer biology, metabolic disorders, neurodegenerative diseases, and environmental research have exhibited improved biomarker robustness and mechanistic resolution contrast with single\u2010omics studies. Recent developments in spatial and single\u2010cell MS address cellular heterogeneity, while integrative computational approaches minimise challenges associated with data complexity, normalization, and cross platform variability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Mass spectrometry\u2010based multi\u2010omics integration represents a rapidly evolving analytical approach for systems biology and translational research. Continued advances in MS instrumentation, acquisition strategies, and computational integration are expected to further improve biological interpretability that fastens the discovery of clinically and biologically relevant molecular signatures.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/rcm.70097","type":"journal-article","created":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T03:56:09Z","timestamp":1778126169000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Mass Spectrometry Based Multi\u2010Omics Integration: Analytical Methods and Biological Applications"],"prefix":"10.1002","volume":"40","author":[{"given":"Jainendra Kumar","family":"Battineni","sequence":"first","affiliation":[{"name":"School of Pharmacy Anurag University  Hyderabad Telangana India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaso Deepika","family":"Mamidisetti","sequence":"additional","affiliation":[{"name":"Department of Pharmacology School of Allied and Healthcare Sciences Malla Reddy University, Maisammaguda  Hyderabad Telangana India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mounika","family":"Kuchukuntla","sequence":"additional","affiliation":[{"name":"School of Pharmacy Anurag University  Hyderabad Telangana India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Divya","family":"Amaravadi","sequence":"additional","affiliation":[{"name":"School of Pharmacy Anurag University  Hyderabad Telangana India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sahithya Ravali","family":"Ravula","sequence":"additional","affiliation":[{"name":"Department of Clinical Pharmacy, College of Pharmacy King Khalid University  Abha Kingdom of Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9039-8061","authenticated-orcid":false,"given":"Rajendra Kumar","family":"Jadi","sequence":"additional","affiliation":[{"name":"School of Pharmacy Anurag University  Hyderabad Telangana India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,5,6]]},"reference":[{"key":"e_1_2_5_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12094\u2010024\u201003819\u20104"},{"key":"e_1_2_5_3_1","doi-asserted-by":"publisher","DOI":"10.2174\/0109298673351452241220071215"},{"key":"e_1_2_5_4_1","first-page":"849","volume-title":"Springer Handbook of Chem\u2010 and Bioinformatics","author":"Nguyen P. 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