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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) · hlm. 255–271

DOI
10.22437/proca.v2i3.59974
Terbit
2026-09-02
Penerbit
LPPM Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

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.

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  • Universitas Jambi
  • Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi
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  • Organisasi berbeda
  • Organisasi sama
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Erny KusdiyahAfiliasi tidak diketahui27
Wahyu Indah Dewi AuroraAfiliasi tidak diketahui14
Herlambang HerlambangUniversitas Jambi10
Ahmad SyauqyAfiliasi tidak diketahui9
Denok Tri HardiningsihAfiliasi tidak diketahui8
Andi SubandiAfiliasi tidak diketahui7
Annissa DelfiraAfiliasi tidak diketahui5
ELFIANI ELFIANIUniversitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi5
Zilzikridini WijayantiAfiliasi tidak diketahui4
Nadir Putra Indra TariganAfiliasi tidak diketahui4
Widya Lawra ArrahmaAfiliasi tidak diketahui4
Fathnur Sani KasmadiAfiliasi tidak diketahui3
Raihanah SuzanAfiliasi tidak diketahui3
HafizahAfiliasi tidak diketahui3
FairuzAfiliasi tidak diketahui2
HumaryantoAfiliasi tidak diketahui2
Rina Nofri EnisUniversitas Jambi2
Anggelia PuspasariUniversitas Jambi2
Susan TarawifaUniversitas Jambi2
Nyimas Natasha Ayu ShafiraUniversitas Jambi2
Tia Wida Ekaputri HzUniversitas Jambi2
Hasna DewiAfiliasi tidak diketahui2
Tia Wida EkaputriAfiliasi tidak diketahui2
Attiya IstariniAfiliasi tidak diketahui2
Zahra Frizki AstyAfiliasi tidak diketahui2
HaninaAfiliasi tidak diketahui2
Hanina HaninaAfiliasi tidak diketahui2
Tia Wida Ekaputri HzAfiliasi tidak diketahui2
Nuramaniyah TaufiqAfiliasi tidak diketahui1
Deske PalimbongAfiliasi tidak diketahui1
Huntari HarahapAfiliasi tidak diketahui1

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Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/PROCA/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (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>
</oai_dc:dc>