Download PDF
Commentary  |  Open Access  |  18 Oct 2023

PNPLA3 rs738409 polymorphism and kidney dysfunction: an association beyond nonalcoholic fatty liver disease?

Views: 382 |  Downloads: 130 |  Cited:  2 2
Metab Target Organ Damage 2023;3:18.
10.20517/mtod.2023.24 |  © The Author(s) 2023.
Author Information
Article Notes
Cite This Article

Abstract

This commentary is primarily devoted to a recent observational study by Mantovani and colleagues (Aliment Pharmacol Ther. 2023; 57: 1093-102) examining the adverse effect of the patatin-like phospholipase domain-containing protein-3 (PNPLA3) rs738409 G allele on the kidney function in a cohort of 1,144 middle-aged Italian individuals with metabolic dysfunction. In this study, the authors found that the PNPLA3 rs738409 G allele was significantly associated with lower levels of estimated glomerular filtrate rate (eGFR), even after adjusting for not only common anthropometric and cardiometabolic risk factors but also ethnicity, serum liver enzymes, use of drugs against dyslipidemia and chronic kidney disease polygenic risk score. Additionally, in a subgroup of 144 patients followed for a median of 17 months, the authors also found that the PNPLA3 rs738409 G allele was independently associated with a faster eGFR decline. Commenting on the cohort study by Mantovani et al., we also summarized the rapidly expanding evidence linking the PNPLA3 rs738409 variant with the risk of kidney disease. Furthermore, we discussed the potential research implications of these findings.

Keywords

Nonalcoholic fatty liver disease, nonalcoholic steatohepatitis, glomerular filtration rate, kidney function, chronic kidney disease, PNPLA3 rs738409

The PNPLA3 gene, also known as adiponutrin, encodes for a protein of 481 amino acids mainly located in lipid droplets of hepatocytes and hepatic stellate cells[1,2]. The PNPLA3 protein exerts a hydrolase activity on triglycerides and a transacylase activity on polyunsaturated fatty acids in phospholipids[1,2]. The rs738409 C > G single nucleotide polymorphism in the PNPLA3 gene leads to an Ile148Met substitution (i.e., 148 isoleucine to methionine protein variant)[1,2], causing a loss of function in the enzymatic activity of the PNPLA3 protein. Such loss of function in the PNPLA3 protein leads to an accumulation of lipid droplets in hepatocytes and hepatic stellate cells mainly due to a reduction in very-low-density lipoprotein (VLDL) secretion and a lack of proteasomal degradation, thus inducing liver damage and fibrosis over time[1,2]. It is universally acknowledged that the most extensive proportion of heritability in hepatic fat content among adults from the general population, increased proneness to developing nonalcoholic fatty liver disease (NAFLD), nonalcoholic steatohepatitis, cirrhosis, and primary liver cancer is accounted for by the PNPLA3 rs738409 polymorphism[2-4].

As summarized in Table 1 many observational studies performed both in adults and adolescents[5-14], although not all[15-17], have reported that carriers of the PNPLA3 rs738409 G allele have an increased risk of developing NAFLD and its more advanced forms, but also an increased risk of decreased eGFR and chronic kidney disease (CKD stage ≥ 3), regardless of the presence or absence of type 2 diabetes mellitus (T2DM) and hepatic steatosis. For instance, a cross-sectional analysis conducted in 227 Chinese adults with biopsy-proven NAFLD has shown that the PNPLA3 rs738409 G allele was significantly associated with an increased prevalence of CKD, abnormal albuminuria, and higher levels of urinary neutrophil gelatinase-associated lipocalin (i.e., a biomarker of kidney tubule damage), irrespective of sex, adiposity measures, hepatic and cardiometabolic risk factors[10].

Table 1

Principal observational studies examining the association between the PNPLA3 rs738409 G allele (or other NAFLD-associated genetic risk variants) and the risk of kidney dysfunction

Author, yearStudy characteristicsNAFLD diagnosisGenetic polymorphismeGFR equationCovariate adjustmentsMain findings
Oniki et al.[5] 2015Cross-sectional analysis: 740 Japanese and retrospective longitudinal study of 393 Japanese (follow-up 5.5 years)UltrasoundPNPLA3 rs738409 G alleleMDRD equationAge, sex, BMI, T2DM, hypertension, dyslipidemia, and hepatic steatosisPNPLA3 rs738409 G allele was linked with lower eGFR levels
Musso et al.[6] 2015Cross-sectional analysis: 202 Italians who were free of obesity and T2DMLBPNPLA3 rs738409 G alleleCKD-epidemiology collaboration equationAge, sex, BMI, and MetSPNPLA3 rs738409 G allele was linked with higher risks of microalbuminuria and CKD
Mantovani et al.[7] 2019Cross-sectional study: 101 Italian postmenopausal women with T2DMFLI ≥ 60 (ultrasound in a subset of patients)PNPLA3 rs738409 G alleleCKD-epidemiology collaboration equationAge, T2DM duration, HbA1c, IR, systolic BP, hypertension treatment, and FLI ≥ 60PNPLA3 rs738409 G allele was associated with lower eGFR and a higher prevalence of CKD
Targher et al.[8] 2019Cross-sectional analysis: 142 NAFLD cases in Italian adolescents/childrenLBPNPLA3 rs738409 G alleleBedside schwartz equationAge, sex, systolic BP, adiposity, IR, NASH, and stage of hepatic fibrosisPNPLA3 rs738409 G allele was linked with reduced renal function and proteinuria
Marzuillo et al.[9] 2019Cross-sectional study: 591 Italian obese childrenUltrasoundPNPLA3 rs738409 G alleleBedside schwartz equationSex, duration of obesity, ALT, IR, and lipidsPNPLA3 rs738409 G allele was linked with lower eGFR levels
Di Costanzo et al.[17] 2019Cross-sectional study: 230 Italian overweight or obese childrenMRIPNPLA3 rs738409 G alleleBedside schwartz equationAge, sex, pubertal status, WC, diastolic BP, and liver steatosisNo significant difference was observed among PNPLA3 rs738409 alleles
Sun et al.[10] 2020Cross-sectional study: 227 Chinese patients with NAFLDLBPNPLA3 rs738409 G alleleCKD-Epidemiology collaboration equationAge, sex, BMI, WC, hyperuricemia, IR, hypertension, T2DM, and hepatic fibrosis assessed histologicallyPNPLA3 rs738409 G allele was linked with an increased risk of glomerular and tubular injuries
Mantovani et al.[11] 2020Cross-sectional analysis: 157 Italian postmenopausal women with T2DUltrasound and VCTEPNPLA3 rs738409 G alleleCKD-epidemiology collaboration equationDiabetes duration, HbA1c, hypertension, presence of significant fibrosis (on VCTE), and abnormal albuminuriaPNPLA3 rs738409 G allele was linked with lower eGFR levels and a higher prevalence of CKD
Koo et al.[15] 2020Cross-sectional study: 396 South Korean individuals with biopsy-proven NAFLD from the Boramae NAFLD studyLBPNPLA3 rs738409 G allele; TM6SF2 rs58542926 T allele; MBOAT7 rs641738 T alleleCKD-epidemiology collaboration equationAge, sex, BMI, and MetSMBOAT7 rs641738 T allele was linked with a higher prevalence of CKD. Conversely, CKD was not linked with PNPLA3 rs738409 G or TM6SF2 rs58542926 T alleles
Baratta et al.[16] 2022Cross-sectional analysis: 538 individuals with NAFLD (in whom data regarding kidney function were available) were recruited on an outpatient basisUltrasoundPNPLA3 rs738409 G allele; MBOAT7 rs641738 T allele; TM6SF2 rs58542926 T allele; GCKR rs780094 T alleleCKD-epidemiology collaboration equationBMI, MetS, and liver fibrosis (as assessed by FIB-4 index)Deterioration of renal function was not associated with any of NAFLD-related polymorphisms
Mantovani et al.[12] 2023Panel data analysis: 46 postmenopausal T2DM women with preserved kidney function at baseline (in 2017) who underwent follow-up in 2022Ultrasound and VCTEPNPLA3 rs738409 G alleleCKD-epidemiology collaboration equationAnnual changes in age, HbA1c, hypertension, albuminuria, and use of specific glucose-lowering agents during follow-upPNPLA3 rs738409 G allele was linked with a faster eGFR decline during a 5-year follow-up
Mantovani et al.[13] 2023Cross-sectional study and longitudinal study: 1,144 adults of middle age recruited from the cohort “Liver-Bible-2022”. The effect of the PNPLA3 rs738409 G allele on kidney function was also examined in a subset of 144 individuals over a median follow-up of 17 monthsVCTE with CAPPNPLA3 rs738409 G alleleCKD-epidemiology collaboration equationAge, sex, height, WC, systolic BP, lipids, transaminases, fasting insulin, albuminuria, use of lipid-lowering drugs, ethnicity, and PRS-CKD scorePNPLA3 rs738409 G allele was linked with eGFR decline in the cross-sectional analysis. In the longitudinal analysis, the PNPLA3 rs738409 G allele was correlated to faster eGFR decline over time
Liu et al.[14] 2023Cross-sectional study: 1,022 patients with chronic HCV infection, 226 of whom had CKDVCTE with CAPPNPLA3 rs738409 G allele; TM6SF2 rs58542926 T alleleCKD-epidemiology collaboration equationBMI, IR, hypertension, lipids, C-reactive protein, and liver steatosis on CAPPNPLA3 rs738409 G allele was linked with an increased risk of CKD, while the TM6SF2 rs58542926 T allele was linked with a reduced risk of CKD

In a clinical and experimental study of 157 Italian postmenopausal women with T2DM, Mantovani et al. showed that homozygous carriers of the PNPLA3 rs738409 G allele had lower eGFR levels and a higher prevalence of CKD than those carrying the PNPLA3 rs738409 C allele[11]. In a large cross-sectional study of 1,022 Chinese patients with chronic hepatitis virus C infection (22% of whom had coexisting CKD), Liu et al. reported that the PNPLA3 rs738409 G allele was significantly associated with an increased risk of prevalent CKD, after controlling for BMI, HOMA-estimated insulin resistance, hypertension, plasma lipids, C-reactive protein levels, and hepatic steatosis[14]. Conversely, there is very little information about a possible association between the PNPLA3 rs738409 G allele and the presence of abnormal albuminuria[6,8].

To date, there are no clinical studies examining the risk of developing renal dysfunction in carriers of the PNPLA3 rs738409 G allele among individuals with metabolic dysfunction and normal or near-normal kidney function. Mantovani et al. examined the nexus linking the rs738409 G allele of the PNPLA3 gene and renal function in a cohort of 1,144 Italian adults with dysmetabolic features belonging to the Liver-Bible-2022 cohort (that enrolled volunteers with either fully preserved or nearly normal renal function at baseline who were submitted to extensive screening for hepatic and cardio-metabolic conditions)[13]. In this cohort, the authors reported that the PNPLA3 rs738409 G allele was significantly associated with lower eGFR levels after controlling for sex, ethnicity, adiposity measures, cardiometabolic risk factors, serum liver enzymes, lipid-lowering medication use, albuminuria and a CKD polygenic risk score (PRS)[13]. It should be noted that the statistical significance of this association remained unaltered even after controlling for Fibroscan®-assessed controlled attenuation parameter (CAP) or liver stiffness measurement (LSM)[13]. Notably, in a subset of 144 individuals followed for a median period of 17 months, the authors also found that the PNPLA3 rs738409 G allele was independently associated with a faster decline in eGFR (delta eGFR: -3.57 mL/min/1.73 m2 per allele, 95% confidence interval: -6.94 to -0.21; P = 0.037)[13].

The study by Mantovani et al. is the first large cohort study reporting a nexus linking the PNPLA3 rs738409 G allele with reduced renal function, irrespective of ethnicity, and the PRS-CKD[13], which includes an evaluation of nearly 41,000 genetic predictors of CKD risk[18]. Collectively, therefore, the results of this study show a detrimental impact of the PNPLA3 p.I148M variant on eGFR levels in middle-aged individuals with metabolic dysfunction and preserved kidney function, suggesting that the identification of the PNPLA3 genotype might help to triage subjects who are at greater odds of progressive NAFLD forms and, at the same time, individuals who are at higher risk of CKD. This issue has also been recently recognized in a Delphi-based consensus statement[19]. In addition, as insulin resistance (more than other metabolic traits) appears to exacerbate the PNPLA3-rs738409-G genetic risk for NAFLD[20], it is reasonable to hypothesize that improving insulin resistance might offer additional clinical benefits in this patient population.

What is the net effect of PNPLA3 rs738409 polymorphism on kidney function? The study by Mantovani et al. tried to answer this research question, showing that compared to the wild-type genotype, heterozygous and homozygous carriages of the PNPLA3 rs738409 G allele had a reduction of -1.24 and -2.48 mL/min/1.73 m2 in eGFR levels, respectively[13]. In addition, in this specific cohort of Italian adults with metabolic dysfunction, the PNPLA3 rs738409 G allele explained approximately 8% of the spectrum of eGFR variability dysfunction[13]. However, the presumed mechanisms underlying the nexus linking the PNPLA3 rs738409 G allele and kidney dysfunction are not fully understood. In a previous experimental study, the same group of investigators reported that the concentrations of mRNA of the PNPL A3 were expressed at the maximal levels both intrahepatically and intrarenally and that renal podocytes had the highest expression of mRNA and protein of the PNPLA3 gene compared to other renal cells[11]. Other experimental findings suggest that podocytes of renal glomeruli can store fatty substrates, such as retinol esters and lipid droplets, thereby promoting fatty kidney disease[21-23]. However, although these experimental findings are fascinating, they are preliminary data. As recently discussed by Pirola et al., some important research questions remain open: (i) Could different PNPLA3 gene expression patterns in the kidney explain the association between the PNPLA3 rs738409 G allele and kidney dysfunction[24]? (ii) Does current experimental data support a direct adverse effect of the PNPLA3 rs738409 G allele on kidney function? (iii) Does the adverse effect of the PNPLA3 rs738409 G allele on kidney function occur, at least partially owing to this genetic polymorphism affecting the liver? Growing evidence indicates a significant link between NAFLD and the risk of both prevalent and incident CKD, irrespective of common metabolic risk factors, such as diabesity[22,25-28]. Hence, additional pathogenic investigation is required to better understand the long-term effect(s) of the PNPLA3 rs738409 G allele on the risk of kidney dysfunction.

The results of the cohort study by Mantovani et al. should be interpreted with caution, considering the possible inherent limitations of the study[13]. First, while the cross-sectional analysis was performed on the entire cohort of individuals (n = 1,144), prospective assessment was restricted only to a subset of individuals. Moreover, renal function was not assessed with direct measurements but with a validated creatinine-based equation estimating eGFR, as usually done in routine clinical practice. Finally, the Liver-Bible-2022 cohort enrolled Italian individuals without pre-existing T2DM and with normal or near-normal kidney function. As a result, the findings of this study could not apply to the general adult population, other ethnic groups, or other selected patient populations.

In conclusion, the findings of the recent observational study by Mantovani et al. support a detrimental effect of the PNPLA3 p.I148M variant on eGFR levels in a large cohort of Caucasian middle-aged individuals with metabolic dysfunction[13]. This association was independent of established renal risk factors, presence/severity of NAFLD (as assessed by hepatic transient elastography), ethnicity, and genetic predisposition to CKD. Given the possible translational importance for personalized medicine approaches of the relationship linking the polymorphism p.I148M of the PNPLA3 gene to a faster decline of renal function, additional studies are required to exhaustively clarify the effect of this genetic polymorphism on the risk of CKD. Future research is also needed to examine whether PNPLA3 p.I148M silencing might protect against kidney damage progression in carriers.

DECLARATIONS

Author’s contribution

Made substantial contributions to the conception and design of the study and performed data analysis and interpretation: Mantovani A, Targher G.

Performed data acquisition, as well as providing administrative, technical, and material support: Mantovani A, Targher G.

Availability of data and materials

Not applicable.

Financial support and sponsorship

None.

Conflicts of interest

All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Copyright

© The Author(s) 2023.

REFERENCES

1. Pingitore P, Romeo S. The role of PNPLA3 in health and disease. Biochim Biophys Acta Mol Cell Biol Lipids 2019;1864:900-6.

2. Eslam M, Valenti L, Romeo S. Genetics and epigenetics of NAFLD and NASH: clinical impact. J Hepatol 2018;68:268-79.

3. Romeo S, Kozlitina J, Xing C, et al. Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nat Genet 2008;40:1461-5.

4. Anstee QM, Darlay R, Cockell S, et al. EPoS Consortium Investigators. Genome-wide association study of non-alcoholic fatty liver and steatohepatitis in a histologically characterised cohort. J Hepatol 2020;73:505-15.

5. Oniki K, Saruwatari J, Izuka T, et al. Influence of the PNPLA3 rs738409 polymorphism on non-alcoholic fatty liver disease and renal function among normal weight subjects. PLoS One 2015;10:e0132640.

6. Musso G, Cassader M, Gambino R. PNPLA3 rs738409 and TM6SF2 rs58542926 gene variants affect renal disease and function in nonalcoholic fatty liver disease. Hepatology 2015;62:658-9.

7. Mantovani A, Zusi C, Sani E, et al. Association between PNPLA3rs738409 polymorphism decreased kidney function in postmenopausal type 2 diabetic women with or without non-alcoholic fatty liver disease. Diabetes Metab 2019;45:480-7.

8. Targher G, Mantovani A, Alisi A, et al. Relationship between PNPLA3 rs738409 polymorphism and decreased kidney function in children with NAFLD. Hepatology 2019;70:142-53.

9. Marzuillo P, Di Sessa A, Guarino S, et al. Nonalcoholic fatty liver disease and eGFR levels could be linked by the PNPLA3 I148M polymorphism in children with obesity. Pediatr Obes 2019;14:e12539.

10. Sun DQ, Zheng KI, Xu G, et al. PNPLA3 rs738409 is associated with renal glomerular and tubular injury in NAFLD patients with persistently normal ALT levels. Liver Int 2020;40:107-19.

11. Mantovani A, Taliento A, Zusi C, et al. PNPLA3 I148M gene variant and chronic kidney disease in type 2 diabetic patients with NAFLD: clinical and experimental findings. Liver Int 2020;40:1130-41.

12. Mantovani A, Zusi C, Csermely A, et al. Association between PNPLA3 rs738409 variant and 5-year estimated glomerular filtration rate decline in post-menopausal women with type 2 diabetes: A panel-data analysis. Nutr Metab Cardiovasc Dis 2023;33:1093-7.

13. Mantovani A, Pelusi S, Margarita S, et al. Adverse effect of PNPLA3 p.I148M genetic variant on kidney function in middle-aged individuals with metabolic dysfunction. Aliment Pharmacol Ther 2023;57:1093-102.

14. Liu J, Qi W, Wang S, et al. Metabolic disorders induced by PNPLA3 and TM6SF2 gene variants affect chronic kidney disease in patients infected with non-genotype 3 hepatitis C virus. Lipids Health Dis 2023;22:91.

15. Koo BK, An JN, Joo SK, et al. Association between a polymorphism in MBOAT7 and chronic kidney disease in patients with biopsy-confirmed nonalcoholic fatty liver disease. Clin Gastroenterol Hepatol 2020;18:2837-9.e2.

16. Baratta F, D'Erasmo L, Di Costanzo A, et al. Metabolic syndrome but not fatty liver-associated genetic variants correlates with glomerular renal function decline in patients with non-alcoholic fatty liver disease. Biomedicines 2022;10:720.

17. Di Costanzo A, Pacifico L, D'Erasmo L, et al. Nonalcoholic fatty liver disease (NAFLD), but not its susceptibility gene variants, influences the decrease of kidney function in overweight/obese children. Int J Mol Sci 2019;20:4444.

18. Khan A, Turchin MC, Patki A, et al. Genome-wide polygenic score to predict chronic kidney disease across ancestries. Nat Med 2022;28:1412-20.

19. Sun DQ, Targher G, Byrne CD, et al. An international Delphi consensus statement on metabolic dysfunction-associated fatty liver disease and risk of chronic kidney disease. Hepatobiliary Surg Nutr 2023;12:386-403.

20. Barata L, Feitosa MF, Bielak LF, et al. Insulin resistance exacerbates genetic predisposition to nonalcoholic fatty liver disease in individuals without diabetes. Hepatol Commun 2019;3:894-907.

21. Mallela SK, Patel DM, Ducasa GM, Merscher S, Fornoni A, Al-ali H. Detection and Quantification of Lipid Droplets in Differentiated Human Podocytes. Methods Mol Biol 2019;1996:199-296.

22. Mantovani A, Zusi C, Dalbeni A, Grani G, Buzzetti E. Risk of kidney dysfunction in nafld. Curr Pharm Des 2020;26:1045-61.

23. Wang TY, Wang RF, Bu ZY, et al. Association of metabolic dysfunction-associated fatty liver disease with kidney disease. Nat Rev Nephrol 2022;18:259-68.

24. Pirola CJ, Sookoian S. Editorial: NAFLD, chronic kidney disease, and pleiotropy-why is PNPLA3 omnipresent? Aliment Pharmacol Ther 2023;57:1180-2.

25. Lonardo A, Mantovani A, Targher G, Baffy G. Nonalcoholic fatty liver disease and chronic kidney disease: epidemiology, pathogenesis, and clinical and research implications. Int J Mol Sci 2022;23:13320.

26. Mantovani A, Petracca G, Beatrice G, et al. Non-alcoholic fatty liver disease and risk of incident chronic kidney disease: an updated meta-analysis. Gut 2022;71:156-62.

27. Targher G, Byrne CD. Non-alcoholic fatty liver disease: an emerging driving force in chronic kidney disease. Nat Rev Nephrol 2017;13:297-310.

28. Lonardo A, Singal AK, Osna N, Kharbanda KK. Effect of cofactors on NAFLD/NASH and MAFLD. A paradigm illustrating the pathomechanics of organ dysfunction. Metab Target Organ Damage 2022;2:12.

Cite This Article

Commentary
Open Access
PNPLA3 rs738409 polymorphism and kidney dysfunction: an association beyond nonalcoholic fatty liver disease?
Alessandro MantovaniAlessandro  Mantovani, Giovanni TargherGiovanni  Targher

How to Cite

Mantovani, A.; Targher G. PNPLA3 rs738409 polymorphism and kidney dysfunction: an association beyond nonalcoholic fatty liver disease?. Metab. Target. Organ. Damage. 2023, 3, 18. http://dx.doi.org/10.20517/mtod.2023.24

Download Citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click on download.

Export Citation File:

Type of Import

Tips on Downloading Citation

This feature enables you to download the bibliographic information (also called citation data, header data, or metadata) for the articles on our site.

Citation Manager File Format

Use the radio buttons to choose how to format the bibliographic data you're harvesting. Several citation manager formats are available, including EndNote and BibTex.

Type of Import

If you have citation management software installed on your computer your Web browser should be able to import metadata directly into your reference database.

Direct Import: When the Direct Import option is selected (the default state), a dialogue box will give you the option to Save or Open the downloaded citation data. Choosing Open will either launch your citation manager or give you a choice of applications with which to use the metadata. The Save option saves the file locally for later use.

Indirect Import: When the Indirect Import option is selected, the metadata is displayed and may be copied and pasted as needed.

About This Article

Special Issue

© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Data & Comments

Data

Views
382
Downloads
130
Citations
2
Citations
2
Comments
0
2

Comments

Comments must be written in English. Spam, offensive content, impersonation, and private information will not be permitted. If any comment is reported and identified as inappropriate content by OAE staff, the comment will be removed without notice. If you have any queries or need any help, please contact us at support@oaepublish.com.

0
Download PDF
Share This Article
Scan the QR code for reading!
See Updates
Contents
Figures
Related
Metabolism and Target Organ Damage
ISSN 2769-6375 (Online)

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/