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The Evolving Genetic Landscape of Metabolic Syndrome: A Bibliometric Analysis and Systematic Evidence Map toward Precision Prevention and Health-System Resilience

Proceedings Academic Universitas Jambi · Vol. 2 No. 3 (2026) · pp. 255–271

DOI
10.22437/proca.v2i3.59974
Published
2026-09-02
Publisher
LPPM Universitas Jambi
Language
en
License
creativecommons.org/licenses/by/4.0

Abstract

Genetic research on metabolic syndrome (MetS) has expanded from candidate variants toward genome-wide, interaction-based, polygenic, and predictive approaches, yet the coherence and transferability of direct variant-level evidence remain uncertain. To characterize the temporal, thematic, methodological, and geographic development of MetS genetic research and systematically map direct evidence in adults. Scopus and PubMed searches produced 1,453 deduplicated records. Title-abstract screening retained 506 records, 488 full texts were assessed, and file-level and article-level verification yielded 487 unique articles for bibliometric profiling. A nested evidence map included 246 original adult human studies reporting direct inherited variant-MetS associations; 15 additional articles were retained as contextual evidence. Publication output increased from seven articles in 1996-2004 to 151 in 2020-2024 and peaked in 2024 with 43 articles. Candidate-gene or single-variant research remained the largest bibliometric category (238/487; 48.9%), although genome-wide, interaction, Mendelian-randomization, prediction, and omics approaches increased. Direct evidence was concentrated in Asia (150/246; 61.0%), particularly China, South Korea, and Iran. APOA5, ADIPOQ, FTO, LPL, and CETP were the most recurrent genes; FTO rs9939609 and APOA5 rs662799 were the most frequently investigated variants. Among 95 studies with structured result coding, mixed or conditional findings predominated. Conclusion: MetS genetic research is expanding and diversifying, but replication, cross-population validation, standardized outcome definitions, and clinical translation lag behind publication growth. Locally validated, ancestry-aware genetic evidence integrated with modifiable exposures may support equitable precision prevention and health-system resilience, but current findings do not justify routine genotype-guided care.

Keywords

Collaboration network of the authors

40 authors · 286 co-authorship links · showing the 40 most connected

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  • Universitas Jambi
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Erny KusdiyahAffiliation unknown40
Susan TarawifaAffiliation unknown35
Herlambang HerlambangUniversitas Jambi33
Wahyu Indah Dewi AuroraAffiliation unknown22
Tia Wida EkaputriAffiliation unknown11
Ahmad SyauqyAffiliation unknown11
Tia Wida Ekaputri HzAffiliation unknown10
Esa Indah AyudiaAffiliation unknown9
Denok Tri HardiningsihAffiliation unknown8
ELFIANI ELFIANIAffiliation unknown8
Huntari HarahapAffiliation unknown7
Andi SubandiAffiliation unknown7
HerlambangAffiliation unknown7
Nadir Putra Indra TariganAffiliation unknown6
Tia Wida Ekaputri HzAffiliation unknown6
Raihanah SuzanAffiliation unknown5
Annissa DelfiraAffiliation unknown5
Zilzikridini WijayantiAffiliation unknown4
Siti RaudhohAffiliation unknown4
Nindya AryantyAffiliation unknown4
Attiya IstariniAffiliation unknown4
Fathnur Sani KasmadiAffiliation unknown3
Hasna DewiAffiliation unknown3
HafizahAffiliation unknown3
Zahra Frizki AstyAffiliation unknown3
HaninaAffiliation unknown3
FairuzAffiliation unknown2
HumaryantoAffiliation unknown2
Armaidi DarmawanAffiliation unknown2
Mara Imam Taufiq SiregarAffiliation unknown2
Hanina HaninaAffiliation unknown2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/PROCA/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">The Evolving Genetic Landscape of Metabolic Syndrome: A Bibliometric Analysis and Systematic Evidence Map toward Precision Prevention and Health-System Resilience</dc:title>
	<dc:creator xml:lang="en">Puspasari, Anggelia</dc:creator>
	<dc:creator xml:lang="en">Maharani, Citra</dc:creator>
	<dc:creator xml:lang="en">Mus, Rosdiana</dc:creator>
	<dc:creator xml:lang="en">Enis, Rina Nofri</dc:creator>
	<dc:creator xml:lang="en">Halim, Rita</dc:creator>
	<dc:creator xml:lang="en">Perkasa, Tengku Arief Buana</dc:creator>
	<dc:creator xml:lang="en">Amatullah, Afifah</dc:creator>
	<dc:creator xml:lang="en">Fitri, Amelia Dwi</dc:creator>
	<dc:creator xml:lang="en">Shafira, Nyimas Natasha Ayu</dc:creator>
	<dc:subject xml:lang="en">metabolic syndrome; genetic variation; bibliometric analysis; evidence mapping; health-system resilience</dc:subject>
	<dc:description xml:lang="en">Genetic research on metabolic syndrome (MetS) has expanded from candidate variants toward genome-wide, interaction-based, polygenic, and predictive approaches, yet the coherence and transferability of direct variant-level evidence remain uncertain. To characterize the temporal, thematic, methodological, and geographic development of MetS genetic research and systematically map direct evidence in adults. Scopus and PubMed searches produced 1,453 deduplicated records. Title-abstract screening retained 506 records, 488 full texts were assessed, and file-level and article-level verification yielded 487 unique articles for bibliometric profiling. A nested evidence map included 246 original adult human studies reporting direct inherited variant-MetS associations; 15 additional articles were retained as contextual evidence. Publication output increased from seven articles in 1996-2004 to 151 in 2020-2024 and peaked in 2024 with 43 articles. Candidate-gene or single-variant research remained the largest bibliometric category (238/487; 48.9%), although genome-wide, interaction, Mendelian-randomization, prediction, and omics approaches increased. Direct evidence was concentrated in Asia (150/246; 61.0%), particularly China, South Korea, and Iran. APOA5, ADIPOQ, FTO, LPL, and CETP were the most recurrent genes; FTO rs9939609 and APOA5 rs662799 were the most frequently investigated variants. Among 95 studies with structured result coding, mixed or conditional findings predominated. Conclusion: MetS genetic research is expanding and diversifying, but replication, cross-population validation, standardized outcome definitions, and clinical translation lag behind publication growth. Locally validated, ancestry-aware genetic evidence integrated with modifiable exposures may support equitable precision prevention and health-system resilience, but current findings do not justify routine genotype-guided care.</dc:description>
	<dc:publisher xml:lang="en">LPPM Universitas Jambi</dc:publisher>
	<dc:date>2026-09-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/PROCA/article/view/59974</dc:identifier>
	<dc:identifier>10.22437/proca.v2i3.59974</dc:identifier>
	<dc:source xml:lang="en">Proceedings Academic Universitas Jambi; Vol. 2 No. 3 (2026): The 6th Green Development International Conference; 255-271</dc:source>
	<dc:source>10.22437/5c7v5092</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/PROCA/article/view/59974/25555</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Anggelia Puspasari Puspasari, Maharani, Rosdiana Mus, Rina Nofri Enis Enis, Rita Halim Halim, Tengku Arief Buana Perkasa Perkasa, Afifah Amatullah Amatullah, Amelia Dwi Fitri Fitri, Nyimas Natasha Ayu Shafira Shafira</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
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