Next Article in Journal
Exploring the Role of SIRT1 Polymorphisms in Colorectal Cancer Risk: A Case–Control Study
Previous Article in Journal
Ventilator-Induced Lung Injury: The Unseen Challenge in Acute Respiratory Distress Syndrome Management
Previous Article in Special Issue
Renal Artery Stenosis and Mid-Aortic Syndrome in Children—A Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Liver-Kidney Crosstalk in Major Pediatric Diseases: Unraveling the Complexities and Clinical Challenges

by
Dario Piatto
,
Delia De Biasio
,
Francesco Giustino Cesaro
,
Gianmario Forcina
,
Vittoria Frattolillo
,
Antonio Colucci
,
Fabio Lamberti
,
Pierluigi Marzuillo
,
Emanuele Miraglia del Giudice
and
Anna Di Sessa
*
Department of Woman, Child, and General and Specialized Surgery, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Clin. Med. 2025, 14(11), 3911; https://doi.org/10.3390/jcm14113911
Submission received: 24 March 2025 / Revised: 6 May 2025 / Accepted: 30 May 2025 / Published: 2 June 2025
(This article belongs to the Special Issue Challenges in Liver and Nephrology Diseases in Pediatrics)

Abstract

The liver and kidneys are two of the most vital organs, each with distinct but overlapping functions essential for maintaining homeostasis. The complex interplay between these organs, commonly referred to as liver-kidney crosstalk, plays a crucial role in the pathophysiology of several acute and chronic conditions in childhood. Despite its importance, the precise biological mechanisms driving this interaction remain incompletely understood. This crosstalk is particularly significant in various pediatric diseases (e.g., Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD), Hepatorenal Syndrome (HRS), genetic and metabolic disorders, etc.) where shared pathophysiological factors—including systemic inflammation, metabolic disturbances, oxidative stress, and vascular dysfunction—simultaneously affect both organs. Clinically, this interaction presents unique challenges in diagnosing, managing, and treating liver-kidney diseases in affected children. Understanding the pathogenic mechanisms underlying liver-kidney crosstalk is essential for improving patient care and outcomes through an integrated, multidisciplinary approach and personalized treatment strategies. This review aims to explore liver-kidney crosstalk in key pediatric diseases, offering a comprehensive overview of current knowledge, clinical challenges, and potential therapeutic interventions in this complex field.

1. Introduction

Liver and kidney diseases are closely interrelated due to their shared roles in metabolic and circulatory functions, both of which are critical for maintaining overall health [1]. These organs are vital for processes such as detoxification, metabolism, fluid balance, and hormonal regulation [1]. Dysfunction in one organ often leads to impairment in the other, presenting significant challenges for diagnosis, management, and prognosis [1,2,3].
Both liver and kidney diseases share several common risk factors, such as metabolic dysfunction and chronic inflammation [4,5]. Notably, chronic inflammation may play a crucial role in the progression of damage to both organs [2,4,5].
Clinically, this interrelationship manifests in various pediatric conditions, ranging from well-defined diseases such as hepatorenal syndrome (HRS), polycystic diseases, and metabolic-associated steatotic liver disease (MASLD), to disorders like nephrotic syndrome, glomerulopathies, tubulopathies, acute kidney injury (AKI), and certain genetic and metabolic diseases (e.g., Alport syndrome, Fabry disease, Wilson disease, etc.) [6,7].
Although HRS is more commonly observed in adults with advanced liver disease, particularly cirrhosis [8], it can also occur, though rarely, in children [9]. In this age group, this life-threatening condition may result from acute liver failure, fulminant hepatitis, biliary atresia, or chronic liver disease, such as cirrhosis and liver failure [9]. Pathogenic mechanisms underlying HRS involve impaired hepatic function in toxin processing and blood circulation in advanced liver disease [9].
The pathophysiological interplay between liver and kidney diseases becomes increasingly evident in children with MASLD, as shared metabolic abnormalities, such as insulin resistance (IR) and inflammation, predispose to kidney damage (KD) development [2].
Given the close relationship between liver and kidney dysfunction, an integrated approach to management is needed, with treatments addressing both organ systems [2,4]. A deeper understanding of the interplay between these organs is essential for improving outcomes in pediatric patients [5,6,7].
We aimed to provide a comprehensive overview of the key clinical manifestations of the multifaceted liver-kidney interconnection in the pediatric population.

2. Hepatorenal Syndrome

HRS is a severe complication of liver cirrhosis, resulting from the interplay of several pathogenic mechanisms [8,9].
Portal hypertension is a key pathophysiological feature, primarily resulting from increased hepatic resistance due to liver nodularity and the activation of hepatic stellate (Ito) cells, which leads to sinusoidal narrowing [8].
The resulting increase in intrahepatic resistance stimulates the release of nitric oxide from the splanchnic vasculature, promoting vasodilation and further increasing portal blood flow [10,11,12]. Blood sequestration in the splanchnic circulation creates hypovolemia, systemic hypotension, and renal hypoperfusion, activating compensatory vasoconstrictor mechanisms that worsen kidney dysfunction [10,13].
Inflammation also plays a key role in HRS. Increased splanchnic pressure causes intestinal congestion and bacterial translocation, activating Kupffer cells and releasing pro-inflammatory cytokines [13,14]. This cascade promotes hepatic stellate cell activation and intrahepatic fibrosis [14,15]. Elevated levels of cytokines like interleukin-6, tumor necrosis factor (TNF)-alpha, and monocyte chemoattractant protein-1 are significantly higher in cirrhotic patients with AKI compared to both healthy controls and cirrhotic patients without AKI [13,15].
Although rare, pediatric HRS has been documented [9,16,17,18,19], with an incidence of approximately 5% in children with chronic liver diseases prior to liver transplantation [9].
Several mechanisms contribute to its development, including marked splanchnic vasodilation, release of vasoactive mediators, a hyperdynamic circulatory state, and the onset of cardiac dysfunction [9]. Additionally, neurohormonal alterations, including dysregulation of the sympathetic nervous system and the renin-angiotensin system, as well as the involvement of vasopressin, play significant roles in the pathophysiology of pediatric HRS [9,10].
HRS in childhood is a life-threatening complication associated with advanced liver cirrhosis (e.g., biliary atresia, autoimmune hepatitis, metabolic liver disorders, portal hypertension), acute liver failure (e.g., viral infections, sepsis, drug-induced liver injury), liver transplantation, sepsis, or infections, and is characterized by kidney failure without intrinsic kidney disease [9,10,14].
Two forms of pediatric HRS have been identified such as Type 1, an acute and rapidly progressive form often triggered by factors such as gastrointestinal bleeding or spontaneous bacterial peritonitis, and Type 2, a more slowly progressive form of kidney failure that typically develops in the context of chronic ascites [9,14].
Diagnosis of pediatric HRS is based on clinical criteria, including the absence of significant proteinuria or structural kidney disease [9]. Management primarily targets the underlying liver dysfunction, with liver transplantation as the definitive treatment, along with supportive measures such as kidney transplant when needed [9,10]. If left unaddressed, HRS is associated with significant morbidity and poor long-term outcomes [9,19]. In addition to timely diagnosis and careful management, future research should focus on developing early biomarkers and alternative treatments to mitigate complications and improve the long-term health of these at-risk patients [9,10].

3. Genetic and Metabolic Disorders

Several major pediatric genetic disorders reflect the critical functional crosstalk between the liver and kidneys [6,7].
Although Alport syndrome—a hereditary disorder caused by mutations in type IV collagen genes—primarily affects the kidneys, ears, and eyes, recent findings suggest an intriguing interplay between the liver and kidneys that may modulate disease progression and systemic consequences. This connection is largely attributed to shared inflammatory, metabolic, and fibrotic pathways [6,7].
Fabry disease, an X-linked lysosomal storage disorder caused by mutations in the α-galactosidase A (GLA) gene, leads to the accumulation of globotriaosylceramide, resulting in progressive kidney impairment and potentially affecting hepatic function as well [6,7].
Moreover, crosstalk between the liver and kidneys plays a critical role in the pathophysiology of other rare pediatric genetic disorders [6,7]. For instance, glycogen storage diseases (e.g., types I and III) and cystinosis are both characterized by hepatomegaly and renal tubular dysfunction [6,7]. Wilson disease, a rare autosomal recessive disorder caused by mutations in the ATPase Copper Transporting Beta (ATP7B) gene, leads to impaired hepatic copper excretion. This results in progressive copper accumulation, primarily in the liver, but also in extrahepatic tissues including the kidneys, causing tubular dysfunction, aminoaciduria, and nephrolithiasis [6,7].
Therefore, understanding liver–kidney interactions in pediatric genetic diseases is crucial for early diagnosis and comprehensive clinical care aimed at preserving renal function and improving long-term outcomes.

4. Metabolic Dysfunction-Associated Steatotic Liver Disease

Over the past three decades, the prevalence of non-alcoholic fatty liver disease (NAFLD) has significantly increased, affecting about 38% of the global adult population and 13% of children, with rates rising to 34.2% among those with obesity [20,21]. The nomenclature of this liver disease has evolved to better reflect its metabolic origins [22,23,24]. Initially defined by the exclusion of other liver diseases, NAFLD was criticized for its lack of specificity [21,22]. In 2020, the term metabolic dysfunction-associated fatty liver disease (MAFLD) was introduced to focus on metabolic dysfunction as the primary cause [22,23]. In 2023, the term was further refined to metabolic dysfunction-associated steatotic liver disease (MASLD) to improve diagnostic accuracy, prevention, and treatment strategies [24]. However, the clinical and prognostic accuracy of MASLD compared to NAFLD and MAFLD remains debated [25,26].
With rising rates of pediatric obesity and type 2 diabetes (T2D) globally, MASLD has emerged as a prevalent and serious cardiometabolic disease in children [27,28,29]. Epidemiological studies indicate that MASLD is an independent risk factor for cardiovascular diseases (CVD), especially in subtypes such as MASLD, metabolic-associated liver disease (MetALD), and alcohol-associated liver disease (ALD), which are linked to higher fibrosis risk [28,30,31].
A complex inter-organ communication, driven by metabolic dysfunction such as IR and visceral fat accumulation, plays a crucial role in linking MASLD to various extrahepatic conditions, including cardiovascular disease (CVD), thyroid dysfunction, chronic kidney disease (CKD), and malignancies [28,32,33,34]. In particular, CKD represents a well-established risk factor for end-stage kidney disease (ESKD) and CVD [35]. Growing evidence suggests shared pathogenic mechanisms between MASLD and CKD, including IR, inflammation, and oxidative stress [4,36].
While most evidence linking MASLD to KD is currently available in adults [37,38,39,40], emerging studies have also highlighted this association in children [41,42,43]. Notably, KD in children may be heterogeneous [44], with glomerular hyperfiltration serving as an early marker of kidney injury in conditions such as diabetes, hypertension, and obesity [41].
In addition to CKD, MASLD may progress to fibrosis and cirrhosis more rapidly in adults than in children, with an increased risk of hepatocellular carcinoma (HCC) [45,46]. Furthermore, growing evidence suggests an elevated risk of extrahepatic cancers related to MASLD, including thyroid cancer, female genital tract cancers, and urinary tract and gastrointestinal cancers [28,46].
Given the combined burden of both diseases [4,29,30,33], a deeper understanding of the complex pathophysiological mechanisms underlying MASLD and CKD is essential to improve the overall management of these at-risk patients.

5. Potential Mechanisms Linking MASLD to CKD

The pathogenetic mechanisms linking MASLD and CKD remain an area of ongoing research, as they are not yet fully understood [4,32,33,34]. However, they appear to involve a shared set of cardiometabolic risk factors, including oxidative stress, IR, and inflammation. These mechanisms are characterized by proinflammatory and profibrotic molecular patterns, as well as the involvement of adipose tissue, lipid droplets, and Peroxisome proliferator-activated receptor-gamma (PPAR-γ) [32,33,34]. Additionally, intestinal dysfunction and dysbiosis, along with genetic and epigenetic polymorphisms, have been identified as contributing factors in the pathogenesis [4,47,48,49,50] (Figure 1).

5.1. IR and Dysmetabolism

Evidence from both adult and pediatric studies consistently identifies IR as a key factor linking kidney and liver dysfunction [48,51,52,53]. Several cardiometabolic features of MASLD contribute not only to CVD but, more significantly, to CKD, mainly through the promotion of low-grade inflammation and vascular alterations [4]. Additionally, pro-atherogenic dyslipidemia may increase CKD risk by altering plasma lipoprotein concentrations and the composition of small molecules, proteins, and fatty acids [54].
Renal lipid accumulation, also known as “Fatty Kidney”, plays a crucial role in linking MASLD and CKD, particularly in children with obesity who develop CKD [4,54]. Lipid accumulation in renal podocytes induces IR, causing structural damage to glomeruli and tubules. Lipid droplets in the perirenal space, kidney sinus, and parenchyma each exert distinct effects on renal structure and function [4]. In the context of MASLD, early disturbances in portal and splanchnic vasoregulation can activate a pathological “hepatorenal reflex”, potentially preceding cirrhosis and HRS [55]. This reflex is driven by elevated intrahepatic vascular resistance and altered sinusoidal blood flow [56]. Subclinical portal hypertension may further promote hepatic inflammation and fibrosis, contributing to renal dysfunction and CKD progression [55].
Altered hepatokine release in MASLD may contribute to CKD through liver-kidney crosstalk [4,57,58]. Fibroblast growth factor-21 (FGF-21), a key hepatokine, has garnered attention due to its receptor agonist, efruxifermin, which has shown promise in phase 2 trials for SLD [4]. Elevated FGF-21 levels are observed in conditions such as T2D, CKD, and SLD [59,60,61], reflecting an adaptive response to hyperglycemia and IR [62]. However, in chronic conditions such as CKD and MASLD, resistance to FGF-21 may attenuate its beneficial effects [60]. Despite its effectiveness in improving T2D and IR markers, the direct impact of FGF-21 on kidney function remains to be fully elucidated [60].

5.2. Genetics

Genetic factors play a crucial role in the pathogenesis of both MASLD and CKD, with shared genetic variants contributing to liver and kidney dysfunction, primarily through mechanisms involving inflammation, fibrosis, lipid metabolism, and oxidative stress [50,63]. Strong evidence highlights the involvement of polymorphisms in genes such as Patatin-like phospholipase domain-containing protein 3 (PNPLA3), Transmembrane 6 superfamily member 2 (TM6SF2), Hydroxysteroid 17-beta dehydrogenase 13 (HSD17B13), and Membrane-bound O-acyltransferase domain-containing 7 (MBOAT7) in the development and progression of both diseases [50,64].
Among these, the PNPLA3 gene polymorphism rs738409 C>G represents the most robust determinant of hepatic steatosis susceptibility influencing lipid metabolism through the hydrolysis of triglycerides and the regulation of fat storage within the liver [65,66,67].
Recent estimates suggest that approximately 15% of the European population with MASLD carries this risk allele, underscoring its potential as an early biomarker for MASLD identification [68,69].
Beyond its primary expression in hepatic stellate cells, this risk polymorphism is also highly expressed in the kidney, where it promotes lipid accumulation [1,55,68]. The resulting lipid buildup increases oxidative stress, triggers proinflammatory cytokine production, and induces IR [68]. Consequently, mesangial cells transform into foam cells, impairing contractility, while podocyte apoptosis contributes to glomerulosclerosis, reduced eGFR, and proteinuria in both adults and children [1,55]. Emerging evidence links this polymorphism not only to hepatic steatosis but also to KD, highlighting its broader role in metabolic dysfunction [50,63].
Both adult and pediatric patients carrying the I148M polymorphism of the PNPLA3 gene exhibit reduced eGFR and elevated alanine transaminase levels compared to noncarriers [67,68]. This polymorphism negatively impacts eGFR, particularly in adults with metabolic dysfunction, increasing the risk of tubular and glomerular damage regardless of the severity of hepatic steatosis [70,71,72,73]. Notably, the PNPLA3 rs738409 polymorphism also affects kidney function in conditions unrelated to metabolic dysfunction and MASLD, such as chronic HCV infection and CKD, even in the absence of traditional risk factors for kidney disease [74].
Pediatric studies support the detrimental effect of the I148M polymorphism on renal function, even in children with obesity and prediabetes [75,76,77]. This was further confirmed in a large Italian study assessing kidney function in 1037 children with obesity and MASLD [42].
Noteworthy, the PNPLA3 rs738409 polymorphism has been found to be more common in individuals with hepatic steatosis, even in the absence of obesity and metabolic dysfunction [78,79]. However, recent evidence also suggests that IR plays a pathogenic role in MASLD development independently of the presence of this genetic variant [80].
More recently, a notable relationship between genetic background and the intestinal microbiome in MASLD development has emerged [81,82]. Specifically, individuals with the PNPLA3 rs738409 CC and CG genotypes demonstrated a reduction in intestinal Blautia and Ruminococcaceae, potentially amplifying the role of microbiota in the onset and progression of MASLD [81]. This may facilitate the development of targeted therapeutic strategies [81].
In addition to PNPLA3 gene, the E167K polymorphism (rs58542926) of the TM6SF2 gene has been also implied in MASLD development and progression both in adults and children [50,63,83,84]. Although its exact function remains to be elucidated, this gene has been demonstrated to be involved in lipid metabolism and transport [83], with a strong correlation with MASLD development [74,83,84]. Emerging evidence suggests that this risk polymorphism also exerts a role in KD development, through mechanisms involving lipid accumulation, oxidative stress, and inflammation, ultimately promoting fibrosis and impairing kidney function [50,74,85,86].
In this complex landscape, the MBOAT7 rs641738 polymorphism has been identified as playing a pathophysiological role across all age groups, contributing to both MASLD and KD development [63,85]. This variant affects lipid metabolism and inflammation pathways, which are key drivers in the progression of both liver and kidney diseases [63,85]. Specifically, MBOAT7 has been implicated in lipid accumulation, a process that leads to the development of fibrosis [87].
Another gene implicated in hepatic steatosis is HSD17B13, although its functional role remains incompletely understood [87,88,89]. This variant appears to have a protective effect against hepatic inflammation and fibrosis progression, as well as KD associated with MASLD [50,88]. However, overexpression of HSD17B13 has been observed in fibrotic hepatic tissue from patients with MASLD [89]. An insightful study used the PNPLA3, TM6SF2, and HSD17B13 polymorphisms as part of a genetic risk score to diagnose significant fibrosis in MASLD, though no statistically significant results were found [66].
Overall, genetics represents a key determinant in the development and progression of both MASLD and CKD [55,68,87], but further research is needed to fully understand its complex interaction with environmental factors in the pathophysiology of both diseases.

5.3. Oxidative Stress

Evidence from preclinical models indicates that oxidative stress may be a key driver in the development of both MASLD and CKD [90,91,92].
Oxidative stress, resulting from an imbalance between oxidants and antioxidants, triggers lipotoxicity, lipid peroxidation, endoplasmic reticulum stress, and mitochondrial dysfunction, driving the pathogenesis of MASLD [93]. Nuclear factor erythroid 2-related factor 2 (Nrf2), a key transcription factor, regulates these processes by inhibiting genes linked to hepatic fat accumulation and neutralizing reactive oxygen species (ROS), thereby protecting hepatocyte mitochondrial function and cellular integrity [94].
Induced by Nrf2, heme oxygenase-1 (HO-1) defends against oxidative damage, inflammation, and apoptosis, thus preventing MASLD progression [95]. Oxidative stress activates Nrf2, which is released from Keap1 to induce protective genes. Dysregulation of Nrf2 and excess ROS are influenced by fetuin-A and Klotho [95,96]. Fetuin-A, a liver-derived glycoprotein, reduces adiponectin levels, worsening metabolic disorders, while Klotho, an antioxidative protein, modulates ROS. Reduced Klotho expression under oxidative stress enhances inflammation and thrombosis. Additionally, indole sulfate, regulated by Klotho, contributes to platelet activation, linking oxidative stress to CKD risk [1,96].
In MASLD, oxidative stress mediates hepatocellular damage, inflammation, and the progression from simple steatosis to advanced stages such as metabolic dysfunction-associated steatohepatitis (MASH), disrupting cellular integrity, inducing fibrosis, and accelerating cirrhosis [90,91]. Similarly, in CKD, oxidative stress causes kidney cell injury, exacerbates inflammation, and promotes interstitial fibrosis, driving the decline in renal function and progression to ESKD [90,91]. In both conditions, oxidative stress is a key driver of pathophysiology, highlighting its potential as a therapeutic target [4,90,91].

5.4. Lipid Metabolism

Lipid metabolism contributes to both MASLD and CKD, with interrelated mechanisms involving IR, inflammation, dyslipidemia, and oxidative stress [4,47,97]. Dysregulation of lipid handling in the liver and kidneys accelerates disease progression and contributes to complications, particularly CVD [4,98].
In MASLD, impaired fatty acid oxidation and dyslipidemia lead to hepatic fat accumulation, triggering inflammation and fibrosis [97]. Reduced fatty acid oxidation results in triglyceride buildup and hepatocellular steatosis, while elevated free fatty acids from adipose tissue or diet overwhelm the hepatic processing capacity, promoting lipid deposition, inflammation, and oxidative stress [97]. This cascade contributes to hepatic injury and fibrosis. IR further increases Very Low-Density Lipoprotein (VLDL) production, raising circulating triglycerides and cholesterol, which worsens fat accumulation. Additionally, dysregulated adipokine secretion from adipose tissue exacerbates chronic inflammation, intensifying IR and liver damage [97,98].
In CKD, disrupted lipid metabolism leads to elevated atherogenic lipids, increasing cardiovascular risk and contributing to KD [98,99]. Impaired kidney function hinders lipoprotein clearance, causing the buildup of atherogenic lipids such as Low-Density Lipoprotein (LDL) and VLDL, which exacerbate cardiovascular risk [99]. Uremic toxins induce oxidative stress, triggering lipid peroxidation, which worsens inflammation and endothelial dysfunction. Additionally, impaired fatty acid metabolism promotes lipid accumulation in various tissues, including the kidneys, leading to kidney lipotoxicity, fibrosis, and progressive KD [99]. These interconnected mechanisms accelerate CKD progression and its associated cardiovascular complications [4,98,99].
However, the relationship between dyslipidemia and kidney outcomes in CKD remains debated [4,100]. While LDL cholesterol levels are linked to mortality and hospitalizations due to CVD, they are also influenced by CKD progression [100]. Low HDL cholesterol and impaired HDL functionality are associated with worse prognosis and CKD progression [101]. Reduced lecithin-cholesterol acyltransferase (LCAT) levels also predict CKD progression, regardless of pre-existing kidney dysfunction [102]. In atherogenic dyslipidemia, elevated Sterol Regulatory Element-Binding Protein (SREBP) promotes kidney lipotoxicity and fibrosis by activating TGF-β, accelerating CKD progression [103,104].
Considering the complex interplay of lipid metabolism with IR and inflammation in the development and progression of MASLD and CKD [4,47], managing lipid levels is crucial for slowing the progression of both diseases.

5.5. Fructose Metabolism

A high-fructose diet significantly contributes to the pathogenesis and progression of both MASLD and CKD [4,105,106]. Mechanisms include increased pro-inflammatory cytokine production, endothelial dysfunction, mitochondrial oxidative stress from ROS, nitric oxide depletion impairing vascular homeostasis, and reduced hepatic adenosine triphosphate (ATP), all promoting de novo lipogenesis in liver and kidney tissues [4].
Fructose metabolism is central to MASLD pathogenesis, enhancing hepatic lipogenesis, oxidative stress, and inflammation [105,106]. Unlike glucose, fructose is rapidly phosphorylated in the liver by fructokinase (KHK), bypassing phosphofructokinase-1 (PFK-1) regulation, leading to unregulated lipogenic flux, triglyceride accumulation, hepatic IR, and increased uric acid production, which exacerbates oxidative stress and mitochondrial dysfunction [4,107]. Uric acid not only links to cardiometabolic diseases [107,108], but also activates enzymes in the polyol pathway, increasing endogenous fructose biosynthesis, worsening triglyceride accumulation, and accelerating steatosis progression [1].
A randomized controlled trial by Schwimmer et al. found that reducing free sugar intake significantly lowered hepatic fat content in adolescents with MASLD, supporting fructose restriction as a therapeutic strategy [109].
Excessive fructose consumption also contributes to the pathogenesis and progression of CKD by promoting inflammation, oxidative stress, and the accumulation of nephrotoxic metabolites in the kidneys, exacerbating glomerular injury and accelerating kidney dysfunction [110]. These effects not only worsen CKD in individuals with pre-existing kidney impairment but also increase susceptibility to CKD in healthy individuals [110].
Additionally, fructose disrupts gut microbiota balance, increases intestinal permeability, and enhances endotoxemia, further amplifying hepatic inflammation [110].
Based on these premises, targeting fructose metabolism through dietary interventions or enzyme-specific inhibitors could be a promising strategy for MASLD prevention and treatment [111,112].

5.6. Adipose Tissue and PPAR-γ Dysfunction

The role of adipose tissue dysfunction and PPAR-γ signaling has been well-documented in MASLD and CKD pathophysiology [4,113].
Impaired adipose tissue function, especially in obesity, leads to IR, inflammation, and disrupted lipid metabolism, key factors in metabolic diseases [4]. Perirenal fat accumulation is linked to CKD, impairing kidney function via bioactive molecules like adipokines, pro-inflammatory mediators, and reactive oxygen species [4,113,114,115]. This fat buildup contributes to kidney inflammation, fibrosis, and hypertension, accelerating CKD progression [4]. Additionally, lipid deposition in the renal parenchyma, especially in the cortex and medulla, is associated with glomerulosclerosis and proteinuria [113]. PPAR-γ, a regulator of adipocyte function, lipid storage, and metabolic homeostasis, is crucial in managing ectopic fat in the liver and kidneys [4,116]. Disruption of PPAR-γ signaling impairs adipose tissue function, promoting IR, lipid metabolism dysregulation, and fibrosis, thus accelerating both MASLD and CKD progression [4,117,118,119].
These processes highlight the importance of adipose tissue and PPAR-γ as potential therapeutic targets for MASLD and CKD management [4,119].

5.7. Gut Dysbiosis

Gut dysbiosis has been implicated in the pathogenesis of both MASLD and CKD through several interconnected pathophysiological mechanisms [4,110,120,121,122]. It disrupts the intestinal barrier, promoting increased permeability (“leaky gut”) and endotoxemia, which leads to systemic inflammation [123]. Dysbiosis also alters microbial metabolism, elevating the production of pro-inflammatory metabolites, such as lipopolysaccharides and uremic toxins, further exacerbating liver and kidney damage [124,125]. Additionally, microbial imbalances affect bile acid and short-chain fatty acid profiles, contributing to metabolic dysfunction and accelerating disease progression via the gut-liver and gut-kidney axes [124,126,127].
A deeper understanding of the intricate relationship between gut microbiota and these chronic diseases offers promising therapeutic avenues aimed at restoring microbial balance and mitigating disease progression [123].

6. Evidence on MASLD and KD in Childhood

The relationship of MASLD with KD has been widely demonstrated in adults [4,128,129,130], while similar evidence in childhood is still limited [42,131].
Emerging evidence strongly supports an association between MASLD and an increased risk of developing CKD, particularly in adults [4,132,133]. A large-scale 10-year follow-up study of 12,138 adults with SLD revealed that 1963 participants (16.2%) developed new-onset CKD, with an overall incidence rate of 23.0 per 1000 person-years (24.4 for men and 20.3 for women) [128]. This study confirmed a significant independent association between MASLD and CKD, with this relationship remaining robust even after adjusting for common cardiometabolic risk factors [128].
A large observational cohort study explored the relationship of fibrosis with CKD risk and differences in mortality risk in 2036 adult subjects with MASLD [129]. Authors demonstrated that liver fibrosis was an independent risk factor for CKD in patients with MASLD. An increased mortality risk in patients with fibrosis than those without fibrosis [129] was also reported, further amplified in subjects having both fibrosis and CKD [129].
Despite this robust evidence in adults, data supporting MASLD to KD in children are emerging [28,43,131] (Table 1).
Over the past decades, a large-scale cohort study of Vivante et al. examined the relationship between body mass index (BMI) in 1.2 million adolescents and the risk of developing ESKD later in life [134]. Authors demonstrated a strong dose-dependent association between higher BMI and increased risk for ESKD in adulthood, even in the absence of diabetes or hypertension [134]. This underscores the crucial role of preventing and managing pediatric obesity to reduce the risk of kidney disease later in life [44,135,136].
Given the pivotal role of obesity and dysmetabolism in both kidney damage and MASLD development, the interplay among liver and kidney function has recently garnered scientific attention for its broader impact on overall cardiometabolic health [4,135]. A large study on 234,488 participants found that the presence of common cardiometabolic risk factors such as hypertension (OR 1.35, 95% CI 1.35–1.72), T2D (OR 1.89, 95% CI 1.06–3.38), the number of metabolic syndrome (MetS) traits (OR 1.94, 95% CI 1.75–2.15), and liver fibrosis (OR 4.29, 95% CI 3.36–5.47) significantly increased the risk of prevalent CKD in MASLD context. Of note, over 13.6 years median follow-up, MetS was associated with an increased risk of developing ESKD (HR 1.70, 95% CI 1.19–2.43) [133].
In line with adult findings [132] and the shift in nomenclature from NAFLD to MASLD [24], research has also begun exploring the relationship between the risk of KD and MASLD in childhood [131,137,138]. Although the challenge of the heterogeneous definition of kidney impairment in childhood [43,44], evidence in the field showed an increased risk of developing KD in children with MASLD, particularly in the context of pediatric obesity [44,78,131]. Indeed, the shared interconnected metabolic pathways influencing both liver and kidneys further enhance the dymetabolic environment intrinsically observed in children with obesity, leading to a vicious cycle amplifying organ dysfunction [44,137,138]. However, the optimal pediatric label for identifying SLD and its subsequent impact on cardiometabolic long-term outcomes in children is still debated [139].
In this perspective, additional research is needed to thoroughly explore the relationship between MASLD and the risk of KD development in childhood, particularly considering the consequences of its complex pathophysiological interplay with metabolic dysfunction later in life [4,133].

7. New Treatment Perspectives for MASLD

In light of the growing cardiometabolic burden of MASLD on pediatric health and its significant financial impact on healthcare systems [140,141], optimizing its management—encompassing early identification of at-risk patients, treatment, and preventive strategies—is of paramount importance [141,142,143].
Despite substantial evidence supporting the therapeutic role of nutritional and lifestyle interventions [142,143,144,145], no approved pharmacological treatments are currently available for children with MASLD [142]. Pediatric clinical trials assessing the efficacy of metformin, vitamin E, probiotics, and polyunsaturated fatty acids have yielded limited evidence [142,144]. Consequently, lifestyle changes—including diet, physical exercise, and behavioral interventions—remain the cornerstone of MASLD management in childhood [143,144,145,146]. In line with findings in adults [147,148], bariatric surgery has also been proposed as a potential treatment to improve MASH and liver fibrosis in adolescents, though evidence remains limited [146].
The recent conditional FDA approval of Resmetirom, an orally administered, liver-targeted thyroid hormone receptor (THR)-β selective drug, for treating adults with non-cirrhotic MASH and moderate to advanced fibrosis, marks a significant advancement in MASLD management [149]. This drug, based on the established link between thyroid function and MASLD [150,151,152], has shown promise in reducing hepatic fibrosis, inflammation, and liver lipid content in a large phase III trial, with a favorable safety profile [149]. However, no pediatric studies are currently planned. Preliminary findings on weight-reducing agents like GLP-1 receptor agonists indicate potential for treating pediatric MASLD [153,154] (Figure 2).
Additionally, emerging insights from omics-based research hold potential for advancing treatment strategies [155,156].
Although treatment in childhood remains primarily focused on lifestyle interventions [143,146], pediatric studies are crucial for developing safe and effective treatment options, particularly given the increasing prevalence of MASLD in children and its strong association with cardiometabolic comorbidities and long-term adverse health outcomes [46,146,157].

8. Clinical Implications for the Practical Management of KD

Early identification and management of KD in pediatric patients are essential to prevent long-term complications such as CKD and its associated comorbidities. Clinical awareness of liver–kidney crosstalk is increasingly important, particularly in systemic conditions such as sepsis, acute liver failure, genetic and metabolic disorders, HRS, and MASLD, where KD may be subtle or secondary.
Practical management should emphasize early monitoring of kidney function, cautious use of nephrotoxic agents, and timely initiation of supportive therapies, including kidney replacement therapy when indicated.
Given the increasing recognition of MASLD as multisystem disease and its close relationship with obesity [4,28,29], this is particularly concerning in the context of pediatric obesity.
Indeed, children with obesity are at increased risk for early KD, which may progress to CKD and contribute to a broader cardiometabolic burden [44,137,138]. Shared risk factors—including IR, inflammation, and dyslipidemia—warrant proactive and individualized management strategies. In this regard, recent national clinical guidelines recommend early screening starting at six years of age, including serum creatinine and microalbuminuria assessments [135]. Moreover, practical management involves risk-based follow-up according to family history of cardiometabolic disease, presence of hepatic steatosis, and features of metabolic dysfunction [44].
Children classified as low-risk should undergo annual monitoring of blood pressure and albuminuria, with serum creatinine testing every 24 months for prepubertal children and annually for pubertal children [44]. Intermediate-risk children require annual monitoring of blood pressure, albuminuria, and biochemical evaluations, while high-risk children need more frequent monitoring—blood pressure and albuminuria every three months, with biochemical testing every six months [44].
Prompt referral to a pediatric nephrologist in the presence of KD is of paramount importance. Early lifestyle interventions, regular kidney function monitoring, and tailored follow-up care are key to preventing long-term kidney and cardiometabolic complications in this population [44,137,138].
Overall, a multidisciplinary approach involving pediatric nephrologists, hepatologists, and critical care specialists is crucial for optimizing patient outcomes.

9. Conclusions

Liver and kidney diseases in childhood are closely linked, sharing common pathophysiological mechanisms and risk factors such as metabolic dysfunction, IR, oxidative stress, and chronic inflammation [4,137]. Early diagnosis and a comprehensive, integrated management approach are critical to addressing both hepatic and kidney dysfunction in affected children [2,4,7].
Further research is needed to better understand the molecular pathways driving these conditions, identify biomarkers for early detection, and develop targeted therapies. A multidisciplinary approach is essential to optimize care and improve outcomes for children with these interconnected diseases.

10. Future Directions

As the understanding of the liver-kidney axis in pediatric populations continues to evolve [5,7], future research should focus on elucidating the molecular mechanisms linking these organs. Key areas of interest include metabolic dysfunction, insulin, IR, inflammation, and oxidative stress, which drive the progression of both liver and kidney diseases. Identifying early biomarkers for these conditions is crucial for improving diagnostic accuracy and enabling timely interventions.
Moreover, refining diagnostic criteria and developing targeted therapies for children with concurrent liver and kidney diseases will be essential to improve treatment outcomes. Integrated care models and longitudinal studies are needed to evaluate the long-term effects of these diseases and assess the impact of early interventions.
Future efforts in both research and clinical practice should prioritize understanding disease mechanisms, improving early detection, and creating personalized therapies. Focusing on prevention, early diagnosis, and tailored treatments will be key to enhancing long-term health outcomes for affected children.

Author Contributions

Conceptualization, D.P. and A.D.S.; methodology, A.D.S., P.M. and E.M.d.G.; Literature search and data curation, D.D.B., F.G.C., G.F., V.F., A.C. and F.L.; writing—original draft preparation, D.P. and A.D.S.; writing—review and editing, A.D.S., D.D.B., F.G.C. and E.M.d.G.; visualization, E.M.d.G. and A.D.S.; supervision, A.D.S. and E.M.d.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The original contributions presented in the paper are included in the review article. Further inquiries can be directed to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
CKDChronic kidney disease
HRHepatorenal syndrome
IRInsulin resistance
KDKidney damage
MASLDMetabolic Dysfunction-Associated Steatotic Liver Disease
MetSMetabolic syndrome
NAFLDNon-alcoholic fatty liver disease
OROdds ratio

References

  1. Truong, E.; Noureddin, M. The Interplay Between Nonalcoholic Fatty Liver Disease and Kidney Disease. Clin. Liver Dis. 2022, 26, 213–227. [Google Scholar] [CrossRef] [PubMed]
  2. Targher, G.; Byrne, C.D. Non-alcoholic fatty liver disease: An emerging driving force in chronic kidney disease. Nat. Rev. Nephrol. 2017, 13, 297–310. [Google Scholar] [CrossRef] [PubMed]
  3. Bonavia, A.; Stiles, N. Renohepatic crosstalk: A review of the effects of acute kidney injury on the liver. Nephrol. Dial. Transplant. 2022, 37, 1218–1228. [Google Scholar] [CrossRef] [PubMed]
  4. Bilson, J.; Mantovani, A.; Byrne, C.D.; Targher, G. Steatotic liver disease, MASLD and risk of chronic kidney disease. Diabetes Metab. 2024, 50, 101506. [Google Scholar] [CrossRef]
  5. Capalbo, O.; Giuliani, S.; Ferrero-Fernández, A.; Casciato, P.; Musso, C.G. Kidney–liver pathophysiological crosstalk: Its characteristics and importance. Int. Urol. Nephrol. 2019, 51, 2203–2207. [Google Scholar] [CrossRef]
  6. Matloff, R.G.; Arnon, R. The Kidney in Pediatric Liver Disease. Curr. Gastroenterol. Rep. 2015, 17, 36. [Google Scholar] [CrossRef]
  7. Van Hoeve, K.; Mekahli, D.; Morava, E.; Levtchenko, E.; Witters, P. Liver involvement in kidney disease and vice versa. Pediatr. Nephrol. 2018, 33, 957–971. [Google Scholar] [CrossRef]
  8. Kiani, C.; Zori, A.G. Recent advances in pathophysiology, diagnosis and management of hepatorenal syndrome: A review. World J. Hepatol. 2023, 15, 741–754. [Google Scholar] [CrossRef]
  9. Liu, P.M.F.; de Carvalho, S.T.; Fradico, P.F.; Cazumbá, M.L.B.; Campos, R.G.B.; Simões e Silva, A.C. Hepatorenal syndrome in children: A review. Pediatr. Nephrol. 2021, 36, 2203–2215. [Google Scholar] [CrossRef]
  10. Hasper, D.; Jörres, A. New insights into the management of hepato-renal syndrome. Liver Int. 2011, 31 (Suppl. S3), S27–S30. [Google Scholar] [CrossRef]
  11. Mannion, R.; Fitzpatrick, E. Systemic Complications Secondary to Chronic Liver Disease. Indian J. Pediatr. 2024, 91, 286–293. [Google Scholar] [CrossRef] [PubMed]
  12. Velez, J.C.Q.; Therapondos, G.; Juncos, L.A. Reappraising the spectrum of AKI and hepatorenal syndrome in patients with cirrhosis. Nat. Rev. Nephrol. 2020, 16, 137–155. [Google Scholar] [CrossRef] [PubMed]
  13. Fukazawa, K.; Lee, H.T. Updates on Hepato-Renal Syndrome. J. Anesth. Clin. Res. 2013, 4, 352. [Google Scholar] [CrossRef] [PubMed]
  14. Adebayo, D.; Wong, F. Pathophysiology of Hepatorenal Syndrome—Acute Kidney Injury. Clin. Gastroenterol. Hepatol. 2023, 21 (Suppl. S10), S1–S10. [Google Scholar] [CrossRef]
  15. Solé, C.; Solà, E.; Huelin, P.; Carol, M.; Moreira, R.; Cereijo, U.; Mas, J.M.; Graupera, I.; Pose, E.; Napoleone, L.; et al. Characterization of inflammatory response in hepatorenal syndrome: Relationship with kidney outcome and survival. Liver Int. 2019, 39, 1246–1255. [Google Scholar] [CrossRef]
  16. Ingviya, T.; Wasuwanich, P.; Scheimann, A.O.; Felix, G.; Laengvejkal, P.; Vasilescu, A.; Imteyaz, H.; Seaberg, E.C.; Karnsakul, W. Clinical Predictors of Morbidity and Mortality in Hospitalized Pediatric Patients with Ascites. J. Pediatr. Gastroenterol. Nutr. 2021, 73, 86–92. [Google Scholar] [CrossRef]
  17. Wasuwanich, P.; So, J.M.; Scheimann, A.O.; Spahic, H.; Laengvejkal, P.; Vasilescu, A.; Imteyaz, H.; Karnsakul, W. Hepatic and non-hepatic hydrothorax in pediatric ascites. Clin. Res. Hepatol. Gastroenterol. 2022, 46, 101868. [Google Scholar] [CrossRef]
  18. Luoto, T.T.; Koivusalo, A.I.; Pakarinen, M.P. Long-term Outcomes and Health Perceptions in Pediatric-onset Portal Hypertension Complicated by Varices. J. Pediatr. Gastroenterol. Nutr. 2020, 70, 628–634. [Google Scholar] [CrossRef]
  19. Lal, B.B.; Alam, S.; Sood, V.; Rawat, D.; Khanna, R. Profile, risk factors and outcome of acute kidney injury in paediatric acute-on-chronic liver failure. Liver Int. 2018, 38, 1777–1784. [Google Scholar] [CrossRef]
  20. Lazarus, J.V.; Mark, H.E.; Allen, A.M.; Arab, J.P.; Carrieri, P.; Noureddin, M.; Alazawi, W.; Alkhouri, N.; Alqahtani, S.A.; Arrese, M.; et al. A global research priority agenda to advance public health responses to fatty liver disease. J. Hepatol. 2023, 79, 618–634. [Google Scholar] [CrossRef]
  21. Le, P.; Tatar, M.; Dasarathy, S.; Alkhouri, N.; Herman, W.H.; Taksler, G.B.; Deshpande, A.; Ye, W.; Adekunle, O.A.; McCullough, A.; et al. Estimated Burden of Metabolic Dysfunction–Associated Steatotic Liver Disease in US Adults, 2020 to 2050. JAMA Netw. Open 2025, 8, e2454707. [Google Scholar] [CrossRef] [PubMed]
  22. Eslam, M.; Newsome, P.N.; Sarin, S.K.; Anstee, Q.M.; Targher, G.; Romero-Gomez, M.; Zelber-Sagi, S.; Wai-Sun Wong, V.; Dufour, J.-F.; Schattenberg, J.M.; et al. A new definition for metabolic dysfunction-associated fatty liver disease: An international expert consensus statement. J. Hepatol. 2020, 73, 202–209. [Google Scholar] [CrossRef] [PubMed]
  23. Eslam, M.; Alkhouri, N.; Vajro, P.; Baumann, U.; Weiss, R.; Socha, P.; Marcus, C.; Lee, W.S.; Kelly, D.; Porta, G.; et al. Defining paediatric metabolic (dysfunction)-associated fatty liver disease: An international expert consensus statement. Lancet Gastroenterol. Hepatol. 2021, 6, 864–873. [Google Scholar] [CrossRef] [PubMed]
  24. Rinella, M.E.; Lazarus, J.V.; Ratziu, V.; Francque, S.M.; Sanyal, A.J.; Kanwal, F.; Romero, D.; Abdelmalek, M.F.; Anstee, Q.M.; Arab, J.P.; et al. A multi-society Delphi consensus statement on new fatty liver disease nomenclature. J. Hepatol. 2023, 79, 1542–1556. [Google Scholar] [CrossRef]
  25. Kang, S.H.; Cho, Y.; Jeong, S.W.; Kim, S.U.; Lee, J.-W.; Korean NAFLD Study Group. From nonalcoholic fatty liver disease to metabolic-associated fatty liver disease: Big wave or ripple? Clin. Mol. Hepatol. 2021, 27, 257–269. [Google Scholar] [CrossRef]
  26. Ramírez-Mejía, M.M.; Eslam, M.; Méndez-Sánchez, N. The MAFLD and MASLD conundrum: Is it reinvention of the wheel? J. Hepatol. 2024, 81, e22–e23. [Google Scholar] [CrossRef]
  27. Perumpail, B.J.; Manikat, R.; Wijarnpreecha, K.; Cholankeril, G.; Ahmed, A.; Kim, D. The prevalence and predictors of metabolic dysfunction-associated steatotic liver disease and fibrosis/cirrhosis among adolescents/young adults. J. Pediatr. Gastroenterol. Nutr. 2024, 79, 110–118. [Google Scholar] [CrossRef]
  28. Targher, G.; Byrne, C.D.; Tilg, H. MASLD: A systemic metabolic disorder with cardiovascular and malignant complications. Gut 2024, 73, 691–702. [Google Scholar] [CrossRef]
  29. Goyal, N.P.; Xanthakos, S.; Schwimmer, J.B. Metabolic dysfunction-associated steatotic liver disease in children. Gut 2025, 74, 669–677. [Google Scholar] [CrossRef]
  30. Lee, H.-H.; Lee, H.A.; Kim, E.-J.; Kim, H.Y.; Kim, H.C.; Ahn, S.H.; Lee, H.; Kim, S.U. Metabolic dysfunction-associated steatotic liver disease and risk of cardiovascular disease. Gut 2024, 73, 533–540. [Google Scholar] [CrossRef]
  31. Choe, H.J.; Moon, J.H.; Kim, W.; Koo, B.K.; Cho, N.H. Steatotic liver disease predicts cardiovascular disease and advanced liver fibrosis: A community-dwelling cohort study with 20-year follow-up. Metabolism 2024, 153, 155800. [Google Scholar] [CrossRef] [PubMed]
  32. Theofilis, P.; Vordoni, A.; Kalaitzidis, R.G. Interplay between metabolic dysfunction-associated fatty liver disease and chronic kidney disease: Epidemiology, pathophysiologic mechanisms, and treatment considerations. World J. Gastroenterol. 2022, 28, 5691–5706. [Google Scholar] [CrossRef] [PubMed]
  33. Nardolillo, M.; Rescigno, F.; Bartiromo, M.; Piatto, D.; Guarino, S.; Marzuillo, P.; del Giudice, E.M.; Di Sessa, A. Interplay between metabolic dysfunction-associated fatty liver disease and renal function: An intriguing pediatric perspective. World J. Gastroenterol. 2024, 30, 2081–2086. [Google Scholar] [CrossRef] [PubMed]
  34. Musso, G.; Cassader, M.; Cohney, S.; De Michieli, F.; Pinach, S.; Saba, F.; Gambino, R. Fatty Liver and Chronic Kidney Disease: Novel Mechanistic Insights and Therapeutic Opportunities. Diabetes Care 2016, 39, 1830–1845. [Google Scholar] [CrossRef]
  35. McCullough, K.; Sharma, P.; Ali, T.; Khan, I.; Smith, W.C.; MacLeod, A.; Black, C. Measuring the population burden of chronic kidney disease: A systematic literature review of the estimated prevalence of impaired kidney function. Nephrol. Dial. Transplant. 2012, 27, 1812–1821. [Google Scholar] [CrossRef]
  36. Pan, Z.; Alqahtani, S.A.; Eslam, M. MAFLD and chronic kidney disease: Two sides of the same coin? Hepatol Int. 2023, 17, 519–521. [Google Scholar] [CrossRef]
  37. Pacifico, L.; Bonci, E.; Andreoli, G.M.; Di Martino, M.; Gallozzi, A.; De Luca, E.; Chiesa, C. The Impact of Nonalcoholic Fatty Liver Disease on Renal Function in Children with Overweight/Obesity. Int. J. Mol. Sci. 2016, 17, 1218. [Google Scholar] [CrossRef]
  38. Sesti, G.; Fiorentino, T.V.; Arturi, F.; Perticone, M.; Sciacqua, A.; Perticone, F. Association between Noninvasive Fibrosis Markers and Chronic Kidney Disease among Adults with Nonalcoholic Fatty Liver Disease. PLoS ONE 2014, 9, e88569. [Google Scholar] [CrossRef]
  39. Musso, G.; Gambino, R.; Tabibian, J.H.; Ekstedt, M.; Kechagias, S.; Hamaguchi, M.; Hultcrantz, R.; Hagström, H.; Yoon, S.K.; Charatcharoenwitthaya, P.; et al. Association of Non-alcoholic Fatty Liver Disease with Chronic Kidney Disease: A Systematic Review and Meta-analysis. PLoS Med. 2014, 11, e1001680. [Google Scholar] [CrossRef]
  40. Targher, G.; Mantovani, A.; Pichiri, I.; Mingolla, L.; Cavalieri, V.; Mantovani, W.; Pancheri, S.; Trombetta, M.; Zoppini, G.; Chonchol, M.; et al. Nonalcoholic Fatty Liver Disease Is Independently Associated with an Increased Incidence of Chronic Kidney Disease in Patients with Type 1 Diabetes. Diabetes Care 2014, 37, 1729–1736. [Google Scholar] [CrossRef]
  41. Palatini, P. Glomerular hyperfiltration: A marker of early renal damage in pre-diabetes and pre-hypertension. Nephrol. Dial. Transplant. 2012, 27, 1708–1714. [Google Scholar] [CrossRef] [PubMed]
  42. Di Sessa, A.; Zarrilli, S.; Forcina, G.; Frattolillo, V.; Camponesco, O.; Migliaccio, C.; Ferrara, S.; Umano, G.R.; Cirillo, G.; Miraglia del Giudice, E.; et al. Role of metabolic dysfunction-associated steatotic liver disease and of its genetics on kidney function in childhood obesity. Int. J. Obes. 2024, 49, 605–611. [Google Scholar] [CrossRef] [PubMed]
  43. Mouzaki, M.; Yates, K.P.; Arce-Clachar, A.C.; Behling, C.; Blondet, N.M.; Fishbein, M.H.; Flores, F.; Adams, K.H.; Hertel, P.; Jain, A.K.; et al. Renal impairment is prevalent in pediatric NAFLD/MASLD and associated with disease severity. J. Pediatr. Gastroenterol. Nutr. 2024, 79, 238–249. [Google Scholar] [CrossRef] [PubMed]
  44. Barlabà, A.; Grella, C.; Tammaro, M.; Petrone, D.; Guarino, S.; Miraglia del Giudice, E.; Marzuillo, P.; Di Sessa, A. Kidney function evaluation in children and adolescents with obesity: A not-negligible need. Eur. J. Pediatr. 2024, 183, 3655–3664. [Google Scholar] [CrossRef]
  45. Mantovani, A.; Petracca, G.; Beatrice, G.; Csermely, A.; Tilg, H.; Byrne, C.D.; Targher, G. Non-alcoholic fatty liver disease and increased risk of incident extrahepatic cancers: A meta-analysis of observational cohort studies. Gut 2022, 71, 778–788. [Google Scholar] [CrossRef]
  46. Chan, K.E.; Ong, E.Y.H.; Chung, C.H.; Ong, C.E.Y.; Koh, B.; Tan, D.J.H.; Lim, W.H.; Yong, J.N.; Xiao, J.; Wong, Z.Y.; et al. Longitudinal Outcomes Associated with Metabolic Dysfunction-Associated Steatotic Liver Disease: A Meta-analysis of 129 Studies. Clin. Gastroenterol. Hepatol. 2024, 22, 488–498.e14. [Google Scholar] [CrossRef]
  47. Byrne, C.D.; Targher, G. NAFLD as a driver of chronic kidney disease. J. Hepatol. 2020, 72, 785–801. [Google Scholar] [CrossRef]
  48. Yodoshi, T.; Arce-Clachar, A.C.; Sun, Q.; Fei, L.; Bramlage, K.; Xanthakos, S.A.; Flores, F.; Mouzaki, M. Glomerular Hyperfiltration Is Associated with Liver Disease Severity in Children with Nonalcoholic Fatty Liver Disease. J. Pediatr. 2020, 222, 127–133. [Google Scholar] [CrossRef]
  49. Gehrke, N.; Schattenberg, J.M. Metabolic Inflammation—A Role for Hepatic Inflammatory Pathways as Drivers of Comorbidities in Nonalcoholic Fatty Liver Disease? Gastroenterology 2020, 158, 1929–1947.e6. [Google Scholar] [CrossRef]
  50. Di Sessa, A.; Guarino, S.; Passaro, A.P.; Liguori, L.; Umano, G.R.; Cirillo, G.; Miraglia del Giudice, E.; Marzuillo, P. NAFLD and renal function in children: Is there a genetic link? Expert Rev. Gastroenterol. Hepatol. 2021, 15, 975–984. [Google Scholar] [CrossRef]
  51. Manco, M.; Ciampalini, P.; DeVito, R.; Vania, A.; Cappa, M.; Nobili, V. Albuminuria and insulin resistance in children with biopsy proven non-alcoholic fatty liver disease. Pediatr. Nephrol. 2009, 24, 1211–1217. [Google Scholar] [CrossRef] [PubMed]
  52. Lee, A.M.; Charlton, J.R.; Carmody, J.B.; Gurka, M.J.; DeBoer, M.D. Metabolic risk factors in nondiabetic adolescents with glomerular hyperfiltration. Nephrol. Dial. Transplant. 2017, 32, 1517–1524. [Google Scholar] [CrossRef] [PubMed]
  53. Tomaszewski, M.; Charchar, F.; Maric, C.; McClure, J.; Crawford, L.; Grzeszczak, W.; Sattar, N.; Zukowska-Szczechowska, E.; Dominiczak, A. Glomerular hyperfiltration: A new marker of metabolic risk. Kidney Int. 2007, 71, 816–821. [Google Scholar] [CrossRef] [PubMed]
  54. Noels, H.; Lehrke, M.; Vanholder, R.; Jankowski, J. Lipoproteins and fatty acids in chronic kidney disease: Molecular and metabolic alterations. Nat. Rev. Nephrol. 2021, 17, 528–542. [Google Scholar] [CrossRef]
  55. 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. [Google Scholar] [CrossRef]
  56. Baffy, G.; Bosch, J. Overlooked subclinical portal hypertension in non-cirrhotic NAFLD: Is it real and how to measure it? J. Hepatol. 2022, 76, 458–463. [Google Scholar] [CrossRef]
  57. Cheung, A.; Ahmed, A. Nonalcoholic Fatty Liver Disease and Chronic Kidney Disease: A Review of Links and Risks. Clin. Exp. Gastroenterol. 2021, 14, 457–465. [Google Scholar] [CrossRef]
  58. Yang, M.; Luo, S.; Yang, J.; Chen, W.; He, L.; Liu, D.; Zhao, L.; Wang, X. Crosstalk between the liver and kidney in diabetic nephropathy. Eur. J. Pharmacol. 2022, 931, 175219. [Google Scholar] [CrossRef]
  59. Post, A.; Dam, W.A.; Sokooti, S.; Groothof, D.; Gloerich, J.; van Gool, A.J.; Kremer, D.; Gansevoort, R.T.; van den Born, J.; Kema, I.P.; et al. Circulating FGF21 Concentration, Fasting Plasma Glucose, and the Risk of Type 2 Diabetes: Results from the PREVEND Study. J. Clin. Endocrinol. Metab. 2023, 108, 1387–1393. [Google Scholar] [CrossRef]
  60. Salgado, J.V.; Goes, M.A.; Salgado Filho, N. FGF21 and Chronic Kidney Disease. Metabolism 2021, 118, 154738. [Google Scholar] [CrossRef]
  61. Tucker, B.; Li, H.; Long, X.; Rye, K.-A.; Ong, K.L. Fibroblast growth factor 21 in non-alcoholic fatty liver disease. Metabolism 2019, 101, 153994. [Google Scholar] [CrossRef] [PubMed]
  62. Velingkar, A.; Vuree, S.; Prabhakar, P.K.; Kalashikam, R.R.; Banerjee, A.; Kondeti, S. Fibroblast growth factor 21 as a potential master regulator in metabolic disorders. Am. J. Physiol. Endocrinol. Metab. 2023, 324, E409–E424. [Google Scholar] [CrossRef] [PubMed]
  63. Pei, Y.; Goh, G.B.-B. Genetic Risk Factors for Metabolic Dysfunction-Associated Steatotic Liver Disease. Gut Liver 2025, 19, 8–18. [Google Scholar] [CrossRef] [PubMed]
  64. Souza, M.; Al-Sharif, L.; Diaz, I.; Mantovani, A.; Villela-Nogueira, C.A. Global Epidemiology and Implications of PNPLA3 I148M Variant in Metabolic Dysfunction–Associated Steatotic Liver Disease: A Systematic Review and Meta-analysis. J. Clin. Exp. Hepatol. 2024, 15, 102495. [Google Scholar] [CrossRef]
  65. Speliotes, E.K.; Schneider, C.V. PNPLA3 I148M Interacts with Environmental Triggers to Cause Human Disease. Liver Int. 2025, 45, e16106. [Google Scholar] [CrossRef]
  66. Rashu, E.B.; Werge, M.P.; Hetland, L.E.; Thing, M.; Nabilou, P.; Kimer, N.; Junker, A.E.; Jensen, A.-S.H.; Nordestgaard, B.G.; Stender, S.; et al. Use of PNPLA3, TM6SF2, and HSD17B13 for detection of fibrosis in MASLD in the general population. Clin. Res. Hepatol. Gastroenterol. 2024, 48, 102389. [Google Scholar] [CrossRef]
  67. Santoro, N.; Kursawe, R.; D’Adamo, E.; Dykas, D.J.; Zhang, C.K.; Bale, A.E.; Calí, A.M.; Narayan, D.; Shaw, M.M.; Pierpont, B.; et al. A Common Variant in the Patatin-Like Phospholipase 3 Gene (PNPLA3) Is Associated with Fatty Liver Disease in Obese Children and Adolescents. Hepatology 2010, 52, 1281–1290. [Google Scholar] [CrossRef]
  68. Mantovani, A.; Targher, G. PNPLA3 variation and kidney disease. Liver Int. 2025, 45, e16010. [Google Scholar] [CrossRef]
  69. Zhao, Y.M.; Zhao, W.; Ma, J.; Toshiyoshi, M.M. Patatin-like phospholipase domain-containing 3 gene (PNPLA3) polymorphic (rs738409) single nucleotide polymorphisms and susceptibility to nonalcoholic fatty liver disease: A meta-analysis of twenty studies. Medicine 2023, 102, e33110. [Google Scholar] [CrossRef]
  70. Mantovani, A.; Pelusi, S.; Margarita, S.; Malvestiti, F.; Dell’Alma, M.; Bianco, C.; Ronzoni, L.; Prati, D.; Targher, G.; Valenti, L. Adverse effect of PNPLA3 p.I148M genetic variant on kidney function in middle-aged individuals with metabolic dysfunction. Aliment. Pharmacol. Ther. 2023, 57, 1093–1102. [Google Scholar] [CrossRef]
  71. Chen, S.; Pang, J.; Huang, R.; Xue, H.; Chen, X. Association of MAFLD with end-stage kidney disease: A prospective study of 337,783 UK Biobank participants. Hepatol. Int. 2023, 17, 595–605. [Google Scholar] [CrossRef] [PubMed]
  72. Mantovani, A.; Taliento, A.; Zusi, C.; Baselli, G.; Prati, D.; Granata, S.; Zaza, G.; Colecchia, A.; Maffeis, C.; Byrne, C.D.; et al. PNPLA3I148M gene variant and chronic kidney disease in type 2 diabetic patients with NAFLD: Clinical and experimental findings. Liver Int. 2020, 40, 1130–1141. [Google Scholar] [CrossRef] [PubMed]
  73. Sun, D.Q.; Zheng, K.I.; Xu, G.; Ma, H.L.; Zhang, H.Y.; Pan, X.Y.; Zhu, P.W.; Wang, X.D.; Targher, G.; Byrne, C.D.; et al. PNPLA3 rs738409 is associated with renal glomerular and tubular injury in NAFLD patients with persistently normal ALT levels. Liver Int. 2020, 40, 107–119. [Google Scholar] [CrossRef] [PubMed]
  74. Liu, J.; Qi, W.; Wang, S.; Zhang, Y.; Wang, X.; Sun, D.; Xu, Y.; Shi, J.; Duan, H.; Zhang, Q.; 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. [Google Scholar] [CrossRef]
  75. Marzuillo, P.; Di Sessa, A.; Guarino, S.; Capalbo, D.; Umano, G.R.; Pedullà, M.; La Manna, A.; Cirillo, G.; Miraglia del Giudice, E. Nonalcoholic fatty liver disease and eGFR levels could be linked by the PNPLA3 I148M polymorphism in children with obesity. Pediatr. Obes. 2019, 14, e12539. [Google Scholar] [CrossRef]
  76. Targher, G.; Mantovani, A.; Alisi, A.; Mosca, A.; Panera, N.; Byrne, C.D.; Nobili, V. Relationship Between PNPLA3 rs738409 Polymorphism and Decreased Kidney Function in Children with NAFLD. Hepatology 2019, 70, 142–153. [Google Scholar] [CrossRef]
  77. Di Sessa, A.; Russo, M.C.; Arienzo, M.R.; Umano, G.R.; Cozzolino, D.; Cirillo, G.; Guarino, S.; Miraglia del Giudice, E.; Marzuillo, P. PNPLA3 I148M Polymorphism Influences Renal Function in Children with Obesity and Prediabetes. J. Ren. Nutr. 2022, 32, 670–676. [Google Scholar] [CrossRef]
  78. Xia, M.F.; Lin, H.D.; Chen, L.Y.; Wu, L.; Ma, H.; Li, Q.; Aleteng, Q.; Hu, Y.; He, W.Y.; Gao, J.; et al. The PNPLA3 rs738409 C>G variant interacts with changes in body weight over time to aggravate liver steatosis, but reduces the risk of incident type 2 diabetes. Diabetologia. 2019, 62, 644–654. [Google Scholar] [CrossRef]
  79. Seko, Y.; Lin, H.; Wong, V.W.S.; Okanoue, T. Impact of PNPLA3 in Lean Individuals and in Cryptogenic Steatotic Liver Disease. Liver Int. 2024, 45, e16164. [Google Scholar] [CrossRef]
  80. Bril, F.; Kalavalapalli, S.; Lomonaco, R.; Frye, R.; Godinez Leiva, E.; Cusi, K. Insulin resistance is an integral feature of MASLD even in the presence of PNPLA3 variants. JHEP Rep. 2024, 6, 101092. [Google Scholar] [CrossRef]
  81. Sato, S.; Iino, C.; Sasada, T.; Soma, G.; Furusawa, K.; Yoshida, K.; Sawada, K.; Mikami, T.; Nakaji, S.; Sakuraba, H.; et al. Epidemiological Study on the Interaction between the PNPLA3 (rs738409) and Gut Microbiota in Metabolic Dysfunction-Associated Steatotic Liver Disease. Genes 2024, 15, 1172. [Google Scholar] [CrossRef] [PubMed]
  82. Ha, S.; Wong, V.W.-S.; Zhang, X.; Yu, J. Interplay between gut microbiome, host genetic and epigenetic modifications in MASLD and MASLD-related hepatocellular carcinoma. Gut 2024, 74, 141–152. [Google Scholar] [CrossRef] [PubMed]
  83. Zhang, X.; Liu, S.; Dong, Q.; Xin, Y.; Xuan, S. The Genetics of Clinical Liver Diseases: Insight into the TM6SF2 E167K Variant. J. Clin. Transl. Hepatol. 2018, 6, 326. [Google Scholar] [CrossRef] [PubMed]
  84. Xue, W.-Y.; Zhang, L.; Liu, C.-M.; Gao, Y.; Li, S.-J.; Huai, Z.-Y.; Dai, J.; Wang, Y.-Y. Research progress on the relationship between TM6SF2 rs58542926 polymorphism and non-alcoholic fatty liver disease. Expert Rev. Gastroenterol. Hepatol. 2022, 16, 97–107. [Google Scholar] [CrossRef]
  85. Huang, G.; Wallace, D.F.; Powell, E.E.; Rahman, T.; Clark, P.J.; Subramaniam, V.N. Gene Variants Implicated in Steatotic Liver Disease: Opportunities for Diagnostics and Therapeutics. Biomedicines 2023, 11, 2809. [Google Scholar] [CrossRef]
  86. Seko, Y.; Yamaguchi, K.; Shima, T.; Iwaki, M.; Takahashi, H.; Kawanaka, M.; Tanaka, S.; Mitsumoto, Y.; Yoneda, M.; Nakajima, A.; et al. Clinical Utility of Genetic Variants in PNPLA3 and TM6SF2 to Predict Liver-Related Events in Metabolic Dysfunction-Associated Steatotic Liver Disease. Liver Int. 2024, 45, e16124. [Google Scholar] [CrossRef]
  87. Martin, K.; Hatab, A.; Athwal, V.S.; Jokl, E.; Piper Hanley, K. Genetic Contribution to Non-alcoholic Fatty Liver Disease and Prognostic Implications. Curr. Diabetes Rep. 2021, 21, 8. [Google Scholar] [CrossRef]
  88. Di Sessa, A.; Umano, G.R.; Cirillo, G.; Passaro, A.P.; Verde, V.; Cozzolino, D.; Guarino, S.; Marzuillo, P.; del Giudice, E.M. Pediatric non-alcoholic fatty liver disease and kidney function: Effect of HSD17B13 variant. World J. Gastroenterol. 2020, 26, 5474–5483. [Google Scholar] [CrossRef]
  89. Su, W.; Wang, Y.; Jia, X.; Wu, W.; Li, L.; Tian, X.; Li, S.; Wang, C.; Xu, H.; Cao, J.; et al. Comparative proteomic study reveals 17β-HSD13 as a pathogenic protein in nonalcoholic fatty liver disease. Proc. Natl. Acad. Sci. USA 2014, 111, 11437–11442. [Google Scholar] [CrossRef]
  90. Jakubek, P.; Kalinowski, P.; Karkucinska-Wieckowska, A.; Kaikini, A.; Simões, I.C.M.; Potes, Y.; Kruk, B.; Grajkowska, W.; Pinton, P.; Milkiewicz, P.; et al. Oxidative stress in metabolic dysfunction-associated steatotic liver disease (MASLD): How does the animal model resemble human disease? FASEB J. 2024, 38, e23466. [Google Scholar] [CrossRef]
  91. Duni, A.; Liakopoulos, V.; Roumeliotis, S.; Peschos, D.; Dounousi, E. Oxidative Stress in the Pathogenesis and Evolution of Chronic Kidney Disease: Untangling Ariadne’s Thread. Int. J. Mol. Sci. 2019, 20, 3711. [Google Scholar] [CrossRef] [PubMed]
  92. Li, Y.; Yang, P.; Ye, J.; Xu, Q.; Wu, J.; Wang, Y. Updated mechanisms of MASLD pathogenesis. Lipids Health Dis. 2024, 23, 117. [Google Scholar] [CrossRef] [PubMed]
  93. Li, N.; Hao, L.; Li, S.; Deng, J.; Yu, F.; Zhang, J.; Nie, A.; Hu, X. The NRF-2/HO-1 Signaling Pathway: A Promising Therapeutic Target for Metabolic Dysfunction-Associated Steatotic Liver Disease. J. Inflamm. Res. 2024, 17, 8061–8083. [Google Scholar] [CrossRef] [PubMed]
  94. Chambel, S.S.; Santos-Gonçalves, A.; Duarte, T.L. The Dual Role of Nrf2 in Nonalcoholic Fatty Liver Disease: Regulation of Antioxidant Defenses and Hepatic Lipid Metabolism. BioMed Res. Int. 2015, 2015, 597134. [Google Scholar] [CrossRef]
  95. Biswas, C.; Shah, N.; Muthu, M.; La, P.; Fernando, A.P.; Sengupta, S.; Yang, G.; Dennery, P.A. Nuclear Heme Oxygenase-1 (HO-1) Modulates Subcellular Distribution and Activation of Nrf2, Impacting Metabolic and Anti-oxidant Defenses. J. Biol. Chem. 2014, 289, 26882–26894. [Google Scholar] [CrossRef]
  96. Yang, K.; Du, C.; Wang, X.; Li, F.; Xu, Y.; Wang, S.; Chen, S.; Chen, F.; Shen, M.; Chen, M.; et al. Indoxyl sulfate induces platelet hyperactivity and contributes to chronic kidney disease–associated thrombosis in mice. Blood 2017, 129, 2667–2679. [Google Scholar] [CrossRef]
  97. Carli, F.; Della Pepa, G.; Sabatini, S.; Vidal Puig, A.; Gastaldelli, A. Lipid metabolism in MASLD and MASH: From mechanism to the clinic. JHEP Rep. 2024, 6, 101185. [Google Scholar] [CrossRef]
  98. Deprince, A.; Haas, J.T.; Staels, B. Dysregulated lipid metabolism links NAFLD to cardiovascular disease. Mol Metab. 2020, 42, 101092. [Google Scholar] [CrossRef]
  99. Wang, Y.; Liu, T.; Liu, W.; Zhao, H.; Li, P. Research hotspots and future trends in lipid metabolism in chronic kidney disease: A bibliometric and visualization analysis from 2004 to 2023. Front. Pharmacol. 2024, 15, 1401939. [Google Scholar] [CrossRef]
  100. Chen, S.-C.; Hung, C.-C.; Kuo, M.-C.; Lee, J.-J.; Chiu, Y.-W.; Chang, J.-M.; Hwang, S.-J.; Chen, H.-C. Association of Dyslipidemia with Renal Outcomes in Chronic Kidney Disease. PLoS ONE 2013, 8, e55643. [Google Scholar] [CrossRef]
  101. Baragetti, A.; Norata, G.D.; Sarcina, C.; Rastelli, F.; Grigore, L.; Garlaschelli, K.; Uboldi, P.; Baragetti, I.; Pozzi, C.; Catapano, A.L. High density lipoprotein cholesterol levels are an independent predictor of the progression of chronic kidney disease. J. Intern. Med. 2013, 274, 252–262. [Google Scholar] [CrossRef] [PubMed]
  102. Baragetti, A.; Ossoli, A.; Strazzella, A.; Simonelli, S.; Baragetti, I.; Grigore, L.; Pellegatta, F.; Catapano, A.L.; Norata, G.D.; Calabresi, L. Low Plasma Lecithin: Cholesterol Acyltransferase (LCAT) Concentration Predicts Chronic Kidney Disease. J. Clin. Med. 2020, 9, 2289. [Google Scholar] [CrossRef] [PubMed]
  103. Guerra, S.; Mocciaro, G.; Gastaldelli, A. Adipose tissue insulin resistance and lipidome alterations as the characterizing factors of non-alcoholic steatohepatitis. Eur. J. Clin. Investig. 2022, 52, e13695. [Google Scholar] [CrossRef] [PubMed]
  104. Dorotea, D.; Koya, D.; Ha, H. Recent Insights Into SREBP as a Direct Mediator of Kidney Fibrosis via Lipid-Independent Pathways. Front. Pharmacol. 2020, 11, 265. [Google Scholar] [CrossRef]
  105. Softic, S.; Stanhope, K.L.; Boucher, J.; Divanovic, S.; Lanaspa, M.A.; Johnson, R.J.; Kahn, C.R. Fructose and hepatic insulin resistance. Crit. Rev. Clin. Lab. Sci. 2020, 57, 308–322. [Google Scholar] [CrossRef]
  106. Jensen, T.; Abdelmalek, M.F.; Sullivan, S.; Nadeau, K.J.; Green, M.; Roncal, C.; Nakagawa, T.; Kuwabara, M.; Sato, Y.; Kang, D.-H.; et al. Fructose and sugar: A major mediator of non-alcoholic fatty liver disease. J. Hepatol. 2018, 68, 1063–1075. [Google Scholar] [CrossRef]
  107. Caliceti, C.; Calabria, D.; Roda, A.; Cicero, A.F.G. Fructose Intake, Serum Uric Acid, and Cardiometabolic Disorders: A Critical Review. Nutrients 2017, 9, 395. [Google Scholar] [CrossRef]
  108. Sharaf El Din, U.A.; Salem, M.M.; Abdulazim, D.O. Uric acid in the pathogenesis of metabolic, renal, and cardiovascular diseases: A review. J. Adv. Res. 2017, 8, 537–548. [Google Scholar] [CrossRef]
  109. Schwimmer, J.B.; Ugalde-Nicalo, P.; Welsh, J.A.; Angeles, J.E.; Cordero, M.; Harlow, K.E.; Alazraki, A.; Durelle, J.; Knight-Scott, J.; Newton, K.P.; et al. Effect of a Low Free Sugar Diet vs Usual Diet on Nonalcoholic Fatty Liver Disease in Adolescent Boys: A Randomized Clinical Trial. JAMA 2019, 321, 256–265. [Google Scholar] [CrossRef]
  110. Chen, W.-Y.; Zhang, J.-H.; Chen, L.-L.; Byrne, C.D.; Targher, G.; Luo, L.; Ni, Y.; Zheng, M.-H.; Sun, D.-Q. Bioactive metabolites: A clue to the link between MASLD and CKD? Clin. Mol. Hepatol. 2025, 31, 56–73. [Google Scholar] [CrossRef]
  111. Gutierrez, J.A.; Liu, W.; Perez, S.; Xing, G.; Sonnenberg, G.; Kou, K.; Blatnik, M.; Allen, R.; Weng, Y.; Vera, N.B.; et al. Pharmacologic inhibition of ketohexokinase prevents fructose-induced metabolic dysfunction. Mol. Metab. 2021, 48, 101196. [Google Scholar] [CrossRef] [PubMed]
  112. Elshaer, A.; Chascsa, D.M.H.; Lizaola-Mayo, B.C. Exploring Varied Treatment Strategies for Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD). Life 2024, 14, 844. [Google Scholar] [CrossRef] [PubMed]
  113. Mitrofanova, A.; Merscher, S.; Fornoni, A. Kidney lipid dysmetabolism and lipid droplet accumulation in chronic kidney disease. Nat. Rev. Nephrol. 2023, 19, 629–645. [Google Scholar] [CrossRef] [PubMed]
  114. Hammoud, S.H.; AlZaim, I.; Al-Dhaheri, Y.; Eid, A.H.; El-Yazbi, A.F. Perirenal Adipose Tissue Inflammation: Novel Insights Linking Metabolic Dysfunction to Renal Diseases. Front. Endocrinol. 2021, 12, 707126. [Google Scholar] [CrossRef]
  115. Chen, X.; Mao, Y.; Hu, J.; Han, S.; Gong, L.; Luo, T.; Yang, S.; Qing, H.; Wang, Y.; Du, Z.; et al. Perirenal Fat Thickness Is Significantly Associated with the Risk for Development of Chronic Kidney Disease in Patients with Diabetes. Diabetes 2021, 70, 2322–2332. [Google Scholar] [CrossRef]
  116. Reid, M.V.; Fredickson, G.; Mashek, D.G. Mechanisms coupling lipid droplets to MASLD pathophysiology. Hepatology 2024. [Google Scholar] [CrossRef]
  117. Chen, H.; Tan, H.; Wan, J.; Zeng, Y.; Wang, J.; Wang, H.; Lu, X. PPAR-γ signaling in nonalcoholic fatty liver disease: Pathogenesis and therapeutic targets. Pharmacol. Ther. 2023, 245, 108391. [Google Scholar] [CrossRef]
  118. Tsuchida, T.; Friedman, S.L. Mechanisms of hepatic stellate cell activation. Nat. Rev. Gastroenterol. Hepatol. 2017, 14, 397–411. [Google Scholar] [CrossRef]
  119. Ma, Y.; Shi, M.; Wang, Y.; Liu, J. PPARγ and Its Agonists in Chronic Kidney Disease. Int. J. Nephrol. 2020, 2020, 2917474. [Google Scholar] [CrossRef]
  120. Zhou, M.; Lv, J.; Chen, X.; Shi, Y.; Chao, G.; Zhang, S. From gut to liver: Exploring the crosstalk between gut-liver axis and oxidative stress in metabolic dysfunction-associated steatotic liver disease. Ann. Hepatol. 2025, 30, 101777. [Google Scholar] [CrossRef]
  121. Raj, D.; Tomar, B.; Lahiri, A.; Mulay, S.R. The gut-liver-kidney axis: Novel regulator of fatty liver associated chronic kidney disease. Pharmacol Res. 2020, 152, 104617. [Google Scholar] [CrossRef] [PubMed]
  122. Benedé-Ubieto, R.; Cubero, F.J.; Nevzorova, Y.A. Breaking the barriers: The role of gut homeostasis in Metabolic-Associated Steatotic Liver Disease (MASLD). Gut Microbes 2024, 16, 2331460. [Google Scholar] [CrossRef] [PubMed]
  123. Lonardo, A. Association of NAFLD/NASH, and MAFLD/MASLD with chronic kidney disease: An updated narrative review. Metab. Target Organ Damage 2024, 4, 16. [Google Scholar] [CrossRef]
  124. Cao, C.; Zhu, H.; Yao, Y.; Zeng, R. Gut Dysbiosis and Kidney Diseases. Front. Med. 2022, 9, 829349. [Google Scholar] [CrossRef]
  125. Zeng, Y.; Guo, M.; Fang, X.; Teng, F.; Tan, X.; Li, X.; Wang, M.; Long, Y.; Xu, Y. Gut Microbiota-Derived Trimethylamine N-Oxide and Kidney Function: A Systematic Review and Meta-Analysis. Adv. Nutr. Int. Rev. J. 2021, 12, 1286–1304. [Google Scholar] [CrossRef]
  126. Jia, L.; Dong, X.; Li, X.; Jia, R.; Zhang, H.-L. Benefits of resistant starch type 2 for patients with end-stage renal disease under maintenance hemodialysis: A systematic review and meta-analysis. Int. J. Med. Sci. 2021, 18, 811–820. [Google Scholar] [CrossRef]
  127. Marzocco, S.; Fazeli, G.; Di Micco, L.; Autore, G.; Adesso, S.; Dal Piaz, F.; Heidland, A.; Di Iorio, B. Supplementation of Short-Chain Fatty Acid, Sodium Propionate, in Patients on Maintenance Hemodialysis: Beneficial Effects on Inflammatory Parameters and Gut-Derived Uremic Toxins, A Pilot Study (PLAN Study). J. Clin. Med. 2018, 7, 315. [Google Scholar] [CrossRef]
  128. Mori, K.; Tanaka, M.; Sato, T.; Akiyama, Y.; Endo, K.; Ogawa, T.; Suzuki, T.; Aida, H.; Kawaharata, W.; Nakata, K.; et al. Metabolic dysfunction-associated steatotic liver disease (SLD) and alcohol-associated liver disease, but not SLD without metabolic dysfunction, are independently associated with new onset of chronic kidney disease during a 10-year follow-up period. Hepatol. Res. 2025, 55, 34–45. [Google Scholar] [CrossRef]
  129. Gurun, M.; Brennan, P.; Handjiev, S.; Khatib, A.; Leith, D.; Dillon, J.F.; Byrne, C.J. Increased risk of chronic kidney disease and mortality in a cohort of people diagnosed with metabolic dysfunction associated steatotic liver disease with hepatic fibrosis. PLoS ONE 2024, 19, e0299507. [Google Scholar] [CrossRef]
  130. Dalbeni, A.; Garbin, M.; Zoncapè, M.; Romeo, S.; Cattazzo, F.; Mantovani, A.; Cespiati, A.; Fracanzani, A.L.; Tsochatzis, E.; Sacerdoti, D.; et al. Glomerular Hyperfiltration: A Marker of Fibrosis Severity in Metabolic Associated Steatotic Liver Disease in an Adult Population. Int. J. Mol. Sci. 2023, 24, 15837. [Google Scholar] [CrossRef]
  131. Di Sessa, A.; Guarino, S.; Umano, G.R.; Miraglia del Giudice, E.; Marzuillo, P. MASLD vs. NAFLD: A better definition for children with obesity at higher risk of kidney damage. J. Hepatol. 2024, 80, e87–e89. [Google Scholar] [CrossRef] [PubMed]
  132. Pennisi, G.; Infantino, G.; Celsa, C.; Di Maria, G.; Enea, M.; Vaccaro, M.; Cannella, R.; Ciccioli, C.; La Mantia, C.; Mantovani, A.; et al. Clinical outcomes of MAFLD versus NAFLD: A meta-analysis of observational studies. Liver Int. 2024, 44, 2939–2949. [Google Scholar] [CrossRef] [PubMed]
  133. Bilson, J.; Hydes, T.J.; McDonnell, D.; Buchanan, R.M.; Scorletti, E.; Mantovani, A.; Targher, G.; Byrne, C.D. Impact of Metabolic Syndrome Traits on Kidney Disease Risk in Individuals with MASLD: A UK Biobank Study. Liver Int. 2024, 45, e16159. [Google Scholar] [CrossRef] [PubMed]
  134. Vivante, A.; Golan, E.; Tzur, D.; Leiba, A.; Tirosh, A.; Skorecki, K.; Calderon-Margalit, R. Body Mass Index in 1.2 Million Adolescents and Risk for End-Stage Renal Disease. Arch. Intern. Med. 2012, 172, 1644–1650. [Google Scholar] [CrossRef]
  135. Valerio, G.; Di Bonito, P.; Calcaterra, V.; Cherubini, V.; Corica, D.; De Sanctis, L.; Di Sessa, A.; Faienza, M.F.; Fornari, E.; Iughetti, L.; et al. Cardiometabolic risk in children and adolescents with obesity: A position paper of the Italian Society for Pediatric Endocrinology and Diabetology. Ital. J. Pediatr. 2024, 50, 205. [Google Scholar] [CrossRef]
  136. Stroes, A.-S.R.; Vos, M.; Benninga, M.A.; Koot, B.G.P. Pediatric MASLD: Current understanding and practical approach. Eur. J. Pediatr. 2024, 184, 29. [Google Scholar] [CrossRef]
  137. Forcina, G.; Luciano, M.; Frattolillo, V.; Mori, S.; Monaco, N.; Guarino, S.; Marzuillo, P.; Miraglia del Giudice, E.; Di Sessa, A. Kidney Damage in Pediatric Obesity: Insights from an Emerging Perspective. J. Clin. Med. 2024, 13, 7025. [Google Scholar] [CrossRef]
  138. Nehus, E.; Mitsnefes, M. Kidney consequences of obesity. Pediatr. Nephrol. 2024, 40, 1879–1893. [Google Scholar] [CrossRef]
  139. Wang, C.-W.; Huang, P.-C.; Dai, C.-Y.; Huang, J.-F.; Yu, M.-L. Comparative evaluation of pediatric fatty liver disease criteria: MASLD, ESPGHAN, NASPGHAN, and NAFLD—Identifying the optimal pediatric label. J. Hepatol. 2024, 80, e157–e159. [Google Scholar] [CrossRef]
  140. Petta, S.; Targher, G.; Romeo, S.; Pajvani, U.B.; Zheng, M.H.; Aghemo, A.; Valenti, L.V.C. The first MASH drug therapy on the horizon: Current perspectives of resmetirom. Liver Int. 2024, 44, 1526–1536. [Google Scholar] [CrossRef]
  141. Younossi, Z.M.; Razavi, H.; Sherman, M.; Allen, A.M.; Anstee, Q.M.; Cusi, K.; Friedman, S.L.; Lawitz, E.; Lazarus, J.V.; Schuppan, D.; et al. Addressing the High and Rising Global Burden of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and Metabolic Dysfunction-Associated Steatohepatitis (MASH): From the Growing Prevalence to Payors’ Perspective. Aliment. Pharmacol. Ther. 2025. [Google Scholar] [CrossRef] [PubMed]
  142. Mitsinikos, T.; Aw, M.M.; Bandsma, R.; Godoy, M.; Ibrahim, S.H.; Mann, J.P.; Memon, I.; Mohan, N.; Mouane, N.; Porta, G.; et al. FISPGHAN statement on the global public health impact of metabolic dysfunction-associated steatotic liver disease. J. Pediatr. Gastroenterol. Nutr. 2025, 80, 397–407. [Google Scholar] [CrossRef] [PubMed]
  143. Panganiban, J.; Kehar, M.; Ibrahim, S.H.; Hartmann, P.; Sood, S.; Hassan, S.; Ramirez, C.M.; Kohli, R.; Censani, M.; Mauney, E.; et al. Metabolic dysfunction-associated steatotic liver disease (MASLD) in children with obesity: An Obesity Medicine Association (OMA) and expert joint perspective 2025. Obes Pillars. 2025, 14, 100164. [Google Scholar] [CrossRef] [PubMed]
  144. Omaña-Guzmán, I.; Rosas-Diaz, M.; Martínez-López, Y.E.; Perez-Navarro, L.M.; Diaz-Badillo, A.; Alanis, A.; Bustamante, A.; Castillo-Ruiz, O.; del Toro-Cisneros, N.; Esquivel-Hernandez, D.A.; et al. Strategic interventions in clinical randomized trials for metabolic dysfunction-associated steatotic liver disease (MASLD) and obesity in the pediatric population: A systematic review with meta-analysis and bibliometric analysis. BMC Med. 2024, 22, 548. [Google Scholar] [CrossRef]
  145. Smith, M.R.; Yu, E.L.; Malki, G.J.; Newton, K.P.; Goyal, N.P.; Heskett, K.M.; Schwimmer, J.B. Systematic review of exercise for the treatment of pediatric metabolic dysfunction-associated steatotic liver disease. PLoS ONE 2024, 19, e0314542. [Google Scholar] [CrossRef]
  146. Brichta, C.; Fishbein, M.; Ryder, J.R. Outcomes of adolescent bariatric surgery: Liver disease. Surg Obes Relat Dis. 2025, 21, 9–15. [Google Scholar] [CrossRef]
  147. Stefan, N.; Yki-Järvinen, H.; A Neuschwander-Tetri, B. Metabolic dysfunction-associated steatotic liver disease: Heterogeneous pathomechanisms and effectiveness of metabolism-based treatment. Lancet Diabetes Endocrinol. 2025, 13, 134–148. [Google Scholar] [CrossRef]
  148. Israelsen, M.; Francque, S.; Tsochatzis, E.A.; Krag, A. Steatotic liver disease. Lancet 2024, 404, 1761–1778. [Google Scholar] [CrossRef]
  149. Harrison, S.A.; Bedossa, P.; Guy, C.D.; Schattenberg, J.M.; Loomba, R.; Taub, R.; Labriola, D.; Moussa, S.E.; Neff, G.W.; Rinella, M.E.; et al. A Phase 3, Randomized, Controlled Trial of Resmetirom in NASH with Liver Fibrosis. N. Engl. J. Med. 2024, 390, 497–509. [Google Scholar] [CrossRef]
  150. Stott, D.J.; Rodondi, N.; Kearney, P.M.; Ford, I.; Westendorp, R.G.; Mooijaart, S.P.; Sattar, N.; Aubert, C.E.; Aujesky, D.; Bauer, D.C.; et al. Thyroid Hormone Therapy for Older Adults with Subclinical Hypothyroidism. N. Engl. J. Med. 2017, 376, 1024. [Google Scholar] [CrossRef]
  151. Ratziu, V.; Scanlan, T.S.; Bruinstroop, E. Thyroid hormone receptor-β analogues for the treatment of metabolic dysfunction-associated steatohepatitis (MASH). J. Hepatol. 2025, 82, 375–387. [Google Scholar] [CrossRef] [PubMed]
  152. Pu, S.; Zhao, B.; Jiang, Y.; Cui, X. Hypothyroidism/subclinical hypothyroidism and metabolic dysfunction-associated steatotic liver disease: Advances in mechanism and treatment. Lipids Health Dis. 2025, 24, 75. [Google Scholar] [CrossRef] [PubMed]
  153. Fox, C.K.; Barrientos-Pérez, M.; Bomberg, E.M.; Dcruz, J.; Gies, I.; Harder-Lauridsen, N.M.; Jalaludin, M.Y.; Sahu, K.; Weimers, P.; Zueger, T.; et al. Liraglutide for Children 6 to <12 Years of Age with Obesity—A Randomized Trial. N. Engl. J. Med. 2024, 392, 555–565. [Google Scholar] [CrossRef] [PubMed]
  154. Abou Jaoudeh, R.A.R.; Hartmann, P.; Olson, O.; Gupta, O.; Kumar, S.; Ibrahim, S.H.; Fawaz, R.; Aqul, A.; Hassan, S. Pharmacological management of pediatric metabolic dysfunction-associated steatotic liver disease. J. Pediatr. Gastroenterol. Nutr. 2025, 80, 14–24. [Google Scholar] [CrossRef]
  155. Schneider, K.M.; Cao, F.; Huang, H.Y.R.; Chen, L.; Chen, Y.; Gong, R.; Raptis, A.; Creasy, K.T.; Clusmann, J.; van Haag, F.; et al. The Lipidomic Profile Discriminates Between MASLD and MetALD. Aliment. Pharmacol. Ther. 2025, 61, 1357–1371. [Google Scholar] [CrossRef]
  156. Bourganou, M.V.; Chondrogianni, M.E.; Kyrou, I.; Flessa, C.-M.; Chatzigeorgiou, A.; Oikonomou, E.; Lambadiari, V.; Randeva, H.S.; Kassi, E. Unraveling Metabolic Dysfunction-Associated Steatotic Liver Disease Through the Use of Omics Technologies. Int. J. Mol. Sci. 2025, 26, 1589. [Google Scholar] [CrossRef]
  157. Hagström, H.; Shang, Y.; Hegmar, H.; Nasr, P. Natural history and progression of metabolic dysfunction-associated steatotic liver disease. Lancet Gastroenterol. Hepatol. 2024, 9, 944–956. [Google Scholar] [CrossRef]
Figure 1. Pathophysiological mechanisms underlying MASLD and KD.
Figure 1. Pathophysiological mechanisms underlying MASLD and KD.
Jcm 14 03911 g001
Figure 2. Therapeutic options for MASLD treatment. Abbreviations: GLP-1, glucagon-like peptide 1.
Figure 2. Therapeutic options for MASLD treatment. Abbreviations: GLP-1, glucagon-like peptide 1.
Jcm 14 03911 g002
Table 1. Main features of pediatric evidence linking MASLD to KD.
Table 1. Main features of pediatric evidence linking MASLD to KD.
ReferenceStudy DesignPopulation and MethodsMain Findings
[43]Multicenter
cohort study
1164 children (mean age 13 ± 3 years) with biopsy-confirmed NAFLD/MASLD were prospectively enrolled.
Genotyping for PNPLA3 gene polymorphism.
Hyperfiltration was defined as cGFR > 135 mL/min/1.73 m2, while CKD stage 2 or higher as cGFR < 90 mL/min/1.73 m2.
KD progression was defined as transition from normal to hyperfiltration or to CKD stage ≥ 2 or change in CKD by ≥1 stage.
Median cGFR of the study population was 121 mL/min/1.73 m2.
A cGFR < 90 mL/min/1.73 m2 was found in 12% of patients, mostly with stage 2 CKD, while 27% showed hyperfiltration.
KD was found in 39% of patients.
Baseline kidney function did not correlate with the progression of liver disease over a 2-year period (n = 145).
Hyperfiltration was independently associated with advanced liver fibrosis (OR 1.45). KD worsened in 19% of cases over the 2-year period, independent of other clinical risk factors, with a higher likelihood of progression observed in males.
No association of progression of KD impairment with change in liver disease severity was observed.
No significant differences in cardiometabolic comorbidities or PNPLA3 gene polymorphism were found.
[42]Retrospective cohort study 1037 children and adolescents (mean age 10.57 ± 2.96 years) with BMI > 95th percentile and normal kidney function (eGFR > 90 mL/min/1.73 m2) were enrolled.
Kidney function was assessed using the Schwarz formula, normalized to body surface area.
Genotyping for the PNPLA3 I148M allele. Participants were categorized into three groups based on metabolic status: Group 1: obesity without hepatic steatosis, Group 2: obesity with hepatic steatosis (one MASLD criterion), and Group 3: obesity, hepatic steatosis, and metabolic dysregulation (≥1 MASLD criterion).
Group 3 exhibited higher ALT and HOMA-IR levels (both p < 0.0001) compared to other groups, with significant increases in ALT and decreases in eGFR from Group 1 to Group 3.
Group 3 also had a higher frequency of the I148M allele compared to other groups (p < 0.0001).
Carriers in group 3 showed higher diastolic BP-SDS, ALT, AST, total cholesterol, LDL, and glycemia, and lower eGFR (all p < 0.05).
An inverse association between eGFR and both MASLD and PNPLA3 genotypes was found (p = 0.011 and p = 0.02). This association was confirmed also in patients carrying the I148M allele (p = 0.006).
[131]Cohort study 396 children and adolescents with obesity (BMI > 95th percentile) were examined.
Hepatic steatosis was detected by ultrasound.
Patients were stratified according to NAFLD/MASLD presence.
KD was defined by eGFR < 90 mL/min/1.73 m2 and/or albuminuria (ACR > 30 mg/g). eGFR was calculated using the Schwartz equation, normalized to body surface area.
Children with MASLD had higher systolic and diastolic BP-SDS compared to those with NAFLD (both p < 0.0001). HOMA-IR and uric acid levels were significantly higher in MASLD than NAFLD group (p < 0.0001 and p = 0.006, respectively). The TG/HDL-c ratio was also higher in MASLD than NAFLD group (2.51 ± 1.51 vs. 1.89 ± 1.08, p < 0.0001). Children with MASLD had reduced eGFR and higher ACR values than those with NAFLD (p = 0.005 and p = 0.001, respectively).
KD was more prevalent in MASLD than NAFLD (44.4% vs. 29.2%, p = 0.002).
The adjusted OR for KD was 3.03 for MASLD (95% CI 1.59–5.77, p = 0.001) and 1.51 for NAFLD (95% CI 1.01–2.30, p = 0.05).
Abbreviations: ACR—Albumin-to-Creatinine Ratio; ALT—Alanine Aminotransferase; AST—Aspartate Aminotransferase; BMI: Body Mass Index BP: Blood Pressure; cGFR—Creatinine-Adjusted Glomerular Filtration Rate; CI—Confidence Interval; CKD—Chronic Kidney Disease; eGFR—Estimated Glomerular Filtration Rate; HOMA-IR—Homeostasis Model Assessment of Insulin Resistance; KD—Kidney Damage; LDL: Low-density lipoprotein; MASLD—Metabolic Dysfunction-Associated Steatotic Liver Disease; NAFLD—Non-Alcoholic Fatty Liver Disease; OR—Odds Ratio; PNPLA3—Patatin-Like Phospholipase Domain-Containing 3; TG/HDL-c—Triglyceride to High-Density Lipoprotein Cholesterol Ratio.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Piatto, D.; De Biasio, D.; Cesaro, F.G.; Forcina, G.; Frattolillo, V.; Colucci, A.; Lamberti, F.; Marzuillo, P.; Miraglia del Giudice, E.; Di Sessa, A. Liver-Kidney Crosstalk in Major Pediatric Diseases: Unraveling the Complexities and Clinical Challenges. J. Clin. Med. 2025, 14, 3911. https://doi.org/10.3390/jcm14113911

AMA Style

Piatto D, De Biasio D, Cesaro FG, Forcina G, Frattolillo V, Colucci A, Lamberti F, Marzuillo P, Miraglia del Giudice E, Di Sessa A. Liver-Kidney Crosstalk in Major Pediatric Diseases: Unraveling the Complexities and Clinical Challenges. Journal of Clinical Medicine. 2025; 14(11):3911. https://doi.org/10.3390/jcm14113911

Chicago/Turabian Style

Piatto, Dario, Delia De Biasio, Francesco Giustino Cesaro, Gianmario Forcina, Vittoria Frattolillo, Antonio Colucci, Fabio Lamberti, Pierluigi Marzuillo, Emanuele Miraglia del Giudice, and Anna Di Sessa. 2025. "Liver-Kidney Crosstalk in Major Pediatric Diseases: Unraveling the Complexities and Clinical Challenges" Journal of Clinical Medicine 14, no. 11: 3911. https://doi.org/10.3390/jcm14113911

APA Style

Piatto, D., De Biasio, D., Cesaro, F. G., Forcina, G., Frattolillo, V., Colucci, A., Lamberti, F., Marzuillo, P., Miraglia del Giudice, E., & Di Sessa, A. (2025). Liver-Kidney Crosstalk in Major Pediatric Diseases: Unraveling the Complexities and Clinical Challenges. Journal of Clinical Medicine, 14(11), 3911. https://doi.org/10.3390/jcm14113911

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop