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Predictive model of declining glomerular filtration rate in type 2 diabetes mellitus with poorly glycemic control: Integration of RAAS and TGFB polymorphisms with clinical risk factors in the Jambi Malay population

Proceedings Academic Universitas Jambi · Vol. 1 No. 2 (2025) · hlm. 535–544

DOI
10.22437/proca.v1i2.50317
Terbit
2025-11-29
Penerbit
LPPM Universitas Jambi
Bahasa
en
Lisensi
creativecommons.org/licenses/by/4.0

Abstrak

Background: Diabetic kidney disease (DKD) is a major complication of type 2 diabetes mellitus (T2DM) and a leading cause of end-stage renal disease worldwide. Despite optimal glycemic and blood pressure control, many patients experience renal decline, suggesting a role for genetic factors. Objective: To develop a predictive model integrating clinical and genetic parameters to identify individuals at risk of declining glomerular filtration rate (GFR) among Malay Jambi patients with poorly controlled T2DM. Methods: A cross-sectional study of 62 patients was conducted using ACE rs4343 and TGFB1 rs1800470 genotyping by Tetra-ARMS PCR. Declining renal function was defined as eGFR <60 mL/min/1.73 m² (KDIGO 2024). Logistic regression and ROC analyses assessed model performance. Results: Older age and higher blood pressure were associated with reduced GFR. The TGFB1 rs1800470 TT and ACE rs4343 AG genotypes significantly increased the risk of renal decline (adjusted OR 7.79 and 5.98, respectively; p < 0.05). The integrated clinical–genetic model achieved the highest discrimination (AUC = 0.859; sensitivity 78.9%; specificity 88.4%). Conclusion: Integrating ACE and TGFB1 genotypes with clinical factors enhances DKD risk prediction and supports early genotype-informed interventions. This approach strengthens population-specific precision nephrology in Indonesia and provides a foundation for future polygenic risk model development.

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  • Universitas Jambi
  • Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi
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  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Wahyu Indah Dewi AuroraAfiliasi tidak diketahui26
Rina Nofri EnisAfiliasi tidak diketahui26
Tengku Arief Buana PerkasaAfiliasi tidak diketahui12
Herlambang HerlambangUniversitas Jambi12
Armaidi DarmawanAfiliasi tidak diketahui11
Rita HalimUniversitas Jambi9
Andi SubandiAfiliasi tidak diketahui9
Afifah AmatullahAfiliasi tidak diketahui6
ELFIANI ELFIANIUniversitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi6
HerlambangAfiliasi tidak diketahui6
Asro Hayani HarahapAfiliasi tidak diketahui5
Wahyu Indah Dwi AuroraAfiliasi tidak diketahui5
Debby HasmitaAfiliasi tidak diketahui5
Mirna Marhami IskandarAfiliasi tidak diketahui4
Rosdiana MusAfiliasi tidak diketahui4
Patrick Wiliam GadingAfiliasi tidak diketahui3
Andika SulistiawanAfiliasi tidak diketahui3
Budi JustisiaAfiliasi tidak diketahui3
Deri MulyadiAfiliasi tidak diketahui2
Ima MariaAfiliasi tidak diketahui2
Nuriyah NuriyahAfiliasi tidak diketahui2
Denok Tri HardiningsihAfiliasi tidak diketahui2
Annissa DelfiraAfiliasi tidak diketahui2
Nadir Putra Indra TariganAfiliasi tidak diketahui2
Widya Lawra ArrahmaAfiliasi tidak diketahui2
Syahreza Hadi JuandaAfiliasi tidak diketahui2
Tengku Irfan Wira BuanaAfiliasi tidak diketahui2
Ratna SugiartiAfiliasi tidak diketahui2
Repelita WitriAfiliasi tidak diketahui2
HafizahAfiliasi tidak diketahui1
Mara Imam Taufiq SiregarUniversitas Jambi1
Ulfadiya PutriAfiliasi tidak diketahui1
Hanina HaninaAfiliasi 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">Predictive model of declining glomerular filtration rate in type 2 diabetes mellitus with poorly glycemic control: Integration of RAAS and TGFB polymorphisms with clinical risk factors in the Jambi Malay population</dc:title>
	<dc:creator xml:lang="en">Puspasari, Anggelia</dc:creator>
	<dc:creator xml:lang="en">Elfiani</dc:creator>
	<dc:creator xml:lang="en">Maharani, Citra</dc:creator>
	<dc:creator xml:lang="en">Syauqy, Ahmad</dc:creator>
	<dc:creator xml:lang="en">Kusdiyah, Erny</dc:creator>
	<dc:creator xml:lang="en">Shafira, Nyimas Natasha Ayu</dc:creator>
	<dc:creator xml:lang="en">Fitri, Amelia Dwi</dc:creator>
	<dc:subject xml:lang="en">Type 2 diabetes mellitus; diabetic kidney diseases; declining GFR; RAAS; TGFB; genetic polymorphism; poorly glycemic control; Malay population</dc:subject>
	<dc:description xml:lang="en">Background: Diabetic kidney disease (DKD) is a major complication of type 2 diabetes mellitus (T2DM) and a leading cause of end-stage renal disease worldwide. Despite optimal glycemic and blood pressure control, many patients experience renal decline, suggesting a role for genetic factors. Objective: To develop a predictive model integrating clinical and genetic parameters to identify individuals at risk of declining glomerular filtration rate (GFR) among Malay Jambi patients with poorly controlled T2DM. Methods: A cross-sectional study of 62 patients was conducted using ACE rs4343 and TGFB1 rs1800470 genotyping by Tetra-ARMS PCR. Declining renal function was defined as eGFR &amp;lt;60 mL/min/1.73 m² (KDIGO 2024). Logistic regression and ROC analyses assessed model performance. Results: Older age and higher blood pressure were associated with reduced GFR. The TGFB1 rs1800470 TT and ACE rs4343 AG genotypes significantly increased the risk of renal decline (adjusted OR 7.79 and 5.98, respectively; p &amp;lt; 0.05). The integrated clinical–genetic model achieved the highest discrimination (AUC = 0.859; sensitivity 78.9%; specificity 88.4%). Conclusion: Integrating ACE and TGFB1 genotypes with clinical factors enhances DKD risk prediction and supports early genotype-informed interventions. This approach strengthens population-specific precision nephrology in Indonesia and provides a foundation for future polygenic risk model development.</dc:description>
	<dc:publisher xml:lang="en">LPPM Universitas Jambi</dc:publisher>
	<dc:date>2025-11-29</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/50317</dc:identifier>
	<dc:identifier>10.22437/proca.v1i2.50317</dc:identifier>
	<dc:source xml:lang="en">Proceedings Academic Universitas Jambi; Vol. 1 No. 2 (2025): The 6th Jambi Medicine and Health Science International Conference (JAMHESIC); 535-544</dc:source>
	<dc:source>10.22437/proca.v1i2</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/PROCA/article/view/50317/22637</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Anggelia Puspasari, Elfiani, Citra Maharani, Ahmad Syauqy, Erny Kusdiyah, Nyimas Natasha Ayu Shafira, Amelia Dwi Fitri</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by/4.0</dc:rights>
</oai_dc:dc>