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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">atu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Алматинского технологического университета</journal-title><trans-title-group xml:lang="en"><trans-title>The Journal of Almaty Technological University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2304-568X</issn><issn pub-type="epub">2710-0839</issn><publisher><publisher-name>АО "АТУ"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.48184/2304-568X-2025-4-37-42</article-id><article-id custom-type="elpub" pub-id-type="custom">atu-2841</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ТЕХНОЛОГИЯ ПИЩЕВОЙ И ПЕРЕРАБАТЫВАЮЩЕЙ ПРОМЫШЛЕННОСТИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FOOD AND PROCESSING INDUSTRY TECHNOLOGY</subject></subj-group></article-categories><title-group><article-title>Персонализированная метаболомика и питание, основанное на биомаркерах, у домашних животных: комплексный обзор новейших исследований</article-title><trans-title-group xml:lang="en"><trans-title>Precision metabolomics and biomarker-driven nutrition in companion animals: a comprehensive review of emerging research</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0008-8206-8143</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ришав</surname><given-names>К.</given-names></name><name name-style="western" xml:lang="en"><surname>Rishav</surname><given-names>K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Кафедра технологии продуктов животноводства.</p><p>Матхура-281001</p></bio><bio xml:lang="en"><p>Kumar Rishav - Department of Livestock Products Technology, College of Veterinary Sciences and Animal Husbandry, DUVASU.</p><p>Mathura-281001</p></bio><email xlink:type="simple">rishavvet42@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Ветеринарный колледж и факультет животноводства, DUVASU<country>Индия</country></aff><aff xml:lang="en">College of Veterinary Sciences and Animal Husbandry, DUVASU<country>India</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>25</day><month>12</month><year>2025</year></pub-date><volume>150</volume><issue>4</issue><fpage>37</fpage><lpage>42</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Ришав К., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Ришав К.</copyright-holder><copyright-holder xml:lang="en">Rishav K.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://atu.ejournal.kz/jour/article/view/2841">https://atu.ejournal.kz/jour/article/view/2841</self-uri><abstract><p>Персонализированное питание, ранее ограниченное сферой персонализированного здоровья человека, стремительно развивается как трансформирующая парадигма в науке о домашних животных. Современные достижения в метаболомике, анализе микробиома, интеграции мультиомикс-данных и искусственном интеллекте (ИИ) создали беспрецедентные возможности для разработки рационов, адаптированных к индивидуальному метаболическому профилю животного, а не основанных исключительно на популяционных нормах потребности в питательных веществах. В данном обзоре представлены новейшие (2020–2025 гг.) достижения в области метаболомики домашних животных, включая выявление метаболических биомаркеров крови, мочи, фекалий, слюны, шерсти и кожи; их связь с показателями здоровья; а также их значение для разработки рационов, основанных на биомаркерах, для собак и кошек. Также была рассмотрена интеграция метаболомики с секвенированием микробиома, носимыми биосенсорами, алгоритмами прогнозирования пищевых реакций, машинным обучением для оценки риска заболеваний и новыми коммерческими инструментами персонализированного питания домашних животных. Обзор завершается анализом исследовательских пробелов, нормативных аспектов и будущих направлений, включая метаболомические паспорта, динамическую оптимизацию рационов, прецизионный баланс аминокислот, формулы, модулирующие микробиом, и ИИ-управляемые индивидуализированные системы кормления. Персонализированная метаболомика готова переопределить научный и коммерческий ландшафт питания домашних животных в течение следующего десятилетия.</p></abstract><trans-abstract xml:lang="en"><p>Precision nutrition, a discipline once limited to human personalized health, has rapidly emerged as a transformative paradigm in companion animal science. Recent advances in metabolomics, microbiome analysis, multi-omics integration, and artificial intelligence (AI) have created unprecedented opportunities to formulate diets tailored to an individual animal’s metabolic profile rather than relying solely on population-level nutrient requirements. This review summarizes the most recent (2020–2025) developments in pet metabolomics, including blood, urine, fecal, salivary, hair, and skin metabolic biomarker discovery; their association with health outcomes; and their relevance in designing biomarker-driven diets for dogs and cats. The integration of metabolomics with microbiome sequencing, wearable biosensors, dietary response prediction algorithms, machine learning-based disease risk scoring, and emerging commercial tools in personalized pet nutrition is also examined. The review concludes with research gaps, regulatory implications, and future directions, including metabolomic passports, dynamic diet optimization, precision amino-acid balancing, microbiome-modulatory formulations, and AI-driven individualized feeding systems. Precision metabolomics is poised to redefine the scientific and commercial landscape of pet nutrition over the next decade.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>корма для домашних животных</kwd><kwd>питание</kwd><kwd>мультиомика</kwd><kwd>биомаркер</kwd><kwd>метаболомика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>pet food</kwd><kwd>nutrition</kwd><kwd>multi-omics</kwd><kwd>biomarker</kwd><kwd>metabolomics</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Xie L, Xiao J, Liu J, et al. Fecal microbiota and metabolomics revealed the effect of long-term consumption of gallic acid on canine lipid metabolism and gut health. J Anim Physiol Anim Nutr (Berl). 2022;106(5):731–743.</mixed-citation><mixed-citation xml:lang="en">Xie L, Xiao J, Liu J, et al. 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