Open access Journal SINTA 1
The Role of Changes in the Proportion of Fecal Short-Chain Fatty Acids on the Severity of Hepatic Encephalopathy in Cirrhosis Patients
ACTA MEDICA INDONESIANA · Vol. 57 No. 4 (2025)
- ISSN
- 2338-2732, 0125-9326
- Published
- 2025-12-23
- Publisher
- The Indonesian Society of Internal Medicine
- Language
- eng
Abstract
Background: Short-chain fatty acids (SCFA) are the main metabolites of the intestinal microbiota, which play a role as colonocyte trophic factors and maintain the integrity of the gastrointestinal tract and blood-brain barrier. Microbiota dysbiosis that occurs in cirrhosis reduces SCFA production and plays a role in the pathogenesis of hepatic encephalopathy (HE). This study aims to compare the amount and composition of fecal SCFA in patients with cirrhosis, with and without HE. Methods: This research is a cross-sectional study at the Hepatobiliary Clinic and Integrated Procedure Room, Dr. Cipto Mangunkusumo Hospital, Jakarta, in 2023. Patients with cirrhosis underwent a flicker or Stroop test, fecal SCFA examination (acetate, butyrate, and propionate), and a questionnaire with a food recall technique to assess dietary patterns. Results: A total of 86 patients with cirrhosis participated in this study, with a mean age of 53 ± 8.10 years, and the majority were male (68.6%). Hepatic encephalopathy (HE) was identified in 20 patients (23.25%). Multivariable analysis of SCFA profiles showed no statistically significant associations with HE. The absolute SCFA proportion had an adjusted prevalence ratio (PR) of 1.98 [95% CI: 0.75–5.24; p = 0.171], the absolute acetate proportion had an adjusted PR of 2.06 [95% CI: 0.40–10.62; p = 0.388], and the butyrate proportion had an adjusted PR of 2.02 [95% CI: 0.76–5.39; p = 0.158]. Conclusion: Changes in SCFA composition may be associated with the presence of HE in patients with cirrhosis. Although no statistically significant relationships were found, these findings suggest that SCFA profiles warrant further investigation concerning dysbiosis and HE in cirrhosis.
Keywords
Collaboration network of the authors
40 authors · 326 co-authorship links · showing the 40 most connected
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- University of Indonesia
- National Research and Innovation Agency
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Rudi Putranto | Affiliation unknown | 32 |
| Siti Setiati | Affiliation unknown | 19 |
| Murdani Abdullah | Affiliation unknown | 17 |
| Irsan Hasan | Affiliation unknown | 14 |
| Em Yunir | University of Indonesia | 12 |
| Dadang Makmun | Affiliation unknown | 11 |
| Edward Faisal | Affiliation unknown | 10 |
| Kuntjoro Harimurti | Affiliation unknown | 10 |
| Sally Aman Nasution | Affiliation unknown | 10 |
| Pringgodigdo Nugroho | Affiliation unknown | 9 |
| Chyntia Olivia Maurine Jasirwan | Affiliation unknown | 8 |
| Robert Sinto | Affiliation unknown | 8 |
| Achmad Fauzi | Affiliation unknown | 8 |
| Alvina Widhani | Affiliation unknown | 8 |
| Rino Alvani Gani | Affiliation unknown | 7 |
| Andri Sanityoso Sulaiman | Affiliation unknown | 7 |
| Khie Chen Lie | Affiliation unknown | 7 |
| Iris Rengganis | Affiliation unknown | 6 |
| Kaka Renaldi | Affiliation unknown | 6 |
| Dyah Purnamasari | Affiliation unknown | 6 |
| Marcellus Simadibrata | Affiliation unknown | 6 |
| Ari Fahrial Syam | Affiliation unknown | 6 |
| Leonard Nainggolan | Affiliation unknown | 6 |
| Cosphiadi Irawan | Affiliation unknown | 5 |
| Pradana Soewondo | Affiliation unknown | 5 |
| Dicky Levenus Tahapary | Affiliation unknown | 5 |
| Kemal Fariz Kalista | Affiliation unknown | 4 |
| Mira Yulianti | National Research and Innovation Agency | 4 |
| Idrus Alwi | Affiliation unknown | 4 |
| Dante Saksono Harbuwono | Affiliation unknown | 4 |
| Evy Yunihastuti | Affiliation unknown | 4 |
| Andhika Rachman | Affiliation unknown | 3 |
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.