The role of the intestinal microbiome in cognitive decline in patients with kidney disease
Institute of Physiology and Zurich Kidney Center, University of Zurich, Switzerland
Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland
Department of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, RICORS2040, Madrid, Spain
Department of Renal Medicine, University College London, London, UK
Pharmacoepidemiology Unit, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France
MP3CV Laboratory, Jules Verne University of Picardie, Amiens, France
Biogem, Molecular Biology and Genetics Research Institute, Ariano Irpino, Italy
Institute of Biochemistry and Cell Biology, National Research Council of Italy, Naples, Italy
Biogem, Molecular Biology and Genetics Research Institute, Ariano Irpino, Italy
University of Campania “L. Vanvitelli”, Naples, Italy
Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J) Nephrology, Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy
Canada Excellence Research Chair on the Microbiome-Endocannabinoidome Axis in Metabolic Health, CRIUCPQ and INAF, Centre NUTRISS, Faculties of Medicine and Agriculture and Food Sciences, Université Laval, Québec City, Canada
Joint International Research Unit for Chemical and Biomolecular Research on the Microbiome and its impact on Metabolic Health and Nutrition (JIRU-MicroMeNu) between Université Laval Québec, Canada and Consiglio Nazionale delle Ricerche, Institute of Biomolecular Chemistry, Pozzuoli, Italy
Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J) Nephrology, Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy
INSERM Unit 1018, Team 5, CESP, Hôpital Paul Brousse, Paris-Saclay University and Versailles Saint-Quentin-en-Yvelines University (UVSQ), Villejuif, France
Association pour l'Utilisation du Rein Artificiel dans la région parisienne (AURA) Paris, France and Ambroise Paré University Hospital, APHP, Department of Nephrology Boulogne-Billancourt, Paris, France
ABSTRACT
Cognitive decline is frequently seen in patients with chronic kidney disease (CKD). The causes of cognitive decline in these patients are likely to be multifactorial, including vascular disease, uraemic toxins, blood–brain barrier leakage, and metabolic and endocrine changes. Gut dysbiosis is common in patients with CKD and contributes to the increase in uraemic toxins. However, the gut microbiome modulates local and systemic levels of several metabolites such as short-chain fatty acids or derivatives of tryptophan metabolism, neurotransmitters, endocannabinoid-like mediators, bile acids, hormones such as glucagon-like peptide 1 (GLP1) or cholecystokinin (CCK). These factors can affect gut function, immunity, autonomic nervous system activity and various aspects of brain function. Key areas include blood–brain barrier integrity, nerve myelination and survival/proliferation, appetite, metabolism and thermoregulation, mood, anxiety and depression, stress and local inflammation.
Alterations in the composition of the gut microbiota and the production of biologically active metabolites in patients with CKD are well documented and are favoured by low-fiber diets, elevated urea levels, sedentary lifestyles, slow stool transit times and polypharmacy. In turn, dysbiosis can modulate brain function and cognitive processes, as discussed in this review. Thus, the gut microbiome may contribute to alterations in cognition in patients with CKD and may be a target for therapeutic interventions using diet, prebiotics and probiotics.
Untitled section
Keywords: chronic kidney disease, cognition, exerkines, gut microbiome, short chain fatty acids
Article notes
Untitled section
Received 2024 Aug 15; Collection date 2025 Mar.
INTRODUCTION
Cognitive function declines in patients with acute kidney injury (AKI) or chronic kidney disease (CKD) at a much higher prevalence than in a healthy matched population [1, 2]. The progressive loss of brain function can affect many areas, including motor function, sleep, eating control, mood and inhibitory control, and cognitive functions such as short- and long-term memory and attention [1, 2]. Cognitive decline and CKD share common risk factors such as diabetes, obesity, hypertension, autoimmunity, genetic risk factors and lifestyle (e.g. smoking, diet, etc.), suggesting some common pathological mechanisms [1, 2].
The loss of cognitive function in patients with CKD results in a loss of quality of life for patients, a burden on their families and increased healthcare costs, and raises ethical issues such as the eligibility of these patients for kidney transplantation [3]. The increase in diseases that cause CKD, such as diabetes, obesity and hypertension, and the ageing of societies in developed countries require a better understanding of the causes of CKD and its impact on cognition in order to develop strategies to prevent or better treat cognitive decline [1, 2].
In recent years, the gut and its microbiome have emerged as an important modulator of central nervous system (CNS) function in health and disease. As discussed below, multiple direct and indirect mechanisms mediate the crosstalk between CNS and gut functions. Various components of the gut microbiota interact directly with the (epithelial) cells of the intestinal barrier. In addition, the gut microbiota produces metabolites that act on epithelial, sensory and immune cells embedded in the gut wall and are transported to the brain. CKD modulates the composition and function of the gut microbiota and may thereby alter gut–CNS interactions directly or indirectly by altering immunity or metabolism [4–8]. Emerging therapies aim to modulate the gut microbiota and may offer preventive and/or therapeutic opportunities in patients with CKD and cognitive decline.
This review summarizes recent developments in our understanding of gut microbiota modulation of CNS function, particularly in the context of CKD, and discusses potential preventive or therapeutic approaches targeting the gut microbiota. In the absence of experimental data directly addressing the role of microbiota in the development of cognitive decline in patients (or animal models) with CKD, we synthesize information from different fields. The review will provide an overview of potentially related areas rather than an in-depth discussion of molecular mechanisms, which would be speculative or only by analogy to established roles of microbiota in other neurological disorders. We refer the interested reader to the excellent and recent reviews that have discussed mechanisms in these areas.
THE GUT MICROBIOME AND ITS IMPACT ON THE ENTERIC, AUTONOMOUS AND CENTRAL NERVOUS SYSTEMS
The gut microbiome is made up of bacteria, yeast and viruses. Here we will focus on the bacterial component, which is the best studied of the three. The six most abundant bacterial phyla include Bacillota (Firmicutes), Bacteroidota, Actinomycetota, Pseudomonadota, Synergistota and Verrumicrobia [9]. However, Bacillota and Bacteroidota represent more than 90% of all bacteria in the healthy gut. As discussed below the composition and activity of the gut microbiota is strongly influenced by a variety of factors relevant to patients with CKD. These include diet, physical activity, drugs and metabolites cleared by the kidneys.
The activity of the gut microbiota affects brain function in a variety of ways in healthy individuals, and changes in the microbiota can therefore have profound effects on brain integrity and function as reviewed recently [4–8, 10–13] (Fig. 1). Mechanisms of gut microbiota–brain crosstalk have been excellently explained in references [14] and [15].
Briefly, data from animal models and humans suggest that the gut microbiome modulates directly and indirectly several brain functions, including response to stress, anxiety-like behaviour, depression-like behaviour, nociception, appetite and hunger, taste preferences, or metabolic regulation by the CNS. As evident from neurodegenerative diseases and the possible involvement of the gut microbiome, also motor functions, memory and other cognitive domains are influenced by the gut microbiome.
The gut microbiota modulates systemic and brain functions in different ways mostly through neuroimmune and neuroendocrine pathways that often involve vagal nerves and may be mediated by various bacteria-derived metabolites such as short chain fatty acids (SCFAs), mostly butyrate, tryptophan and secondary bile acids, as well as neurotransmitters or their modulators. These molecules interact with enteroendocrine cells, enterochromaffin cells, intestinal epithelial cells and immune cells, or circulate systemically and reach directly the brain [4]. Various neurotransmitters or other neuroactive molecules are produced or their secretion promoted by the gut microbiota including GABA, serotonin norepinephrine, acetylcholine, dopamine, oxytocin, endocannabinoids and endocannabionoid-like mediators, brain-derived neurotrophic factor (BDNF), and SCFAs [5, 16, 17]. These mediators may either directly influence brain functions or act on receptors present in epithelial cells, enteric nerve cells or the autonomous nerve system. Various bacteria-derived metabolites modulate the function of enteroendocrine or enterochromaffin cells which release different endocrine factors including glucagon-like peptide 1 (GLP1) cholecystokinin (CCK) or serotonin, which regulate brain function as well as intestinal (e.g. motility and transit time, secretion, absorptive processes) and metabolic activity (e.g. insulin secretion, pancreatic enzyme secretion). Their effects on food intake are best studied but neuroprotective actions of GLP1 are emerging [18]. The activity of the enteroendocrine and enterochromaffin cells is strongly regulated by dietary intake of carbohydrates, proteins (particularly tryptophan derivates such as in the kynurenine pathway originating from amino acid fermentation) and fat, as well as by SCFAs (via GPR43 and GPR41 receptors or epigenetic modulation) and secondary bile acids (via FXR receptors) produced by gut microbiota [4]. Gut microbiota also modulate resident immune cells that release pro- and anti-inflammatory signals affecting gut barrier integrity as well as systemic immune functions [5]. Effects of the gut microbiome extend beyond short-term regulation of brain function. Factors such as SCFAs or lipopolysaccharides (LPS) produced by gut microbes or endogenous mediators modulated by microbial products, such as BDNF, affect directly or indirectly neurogenesis, synaptic plasticity, neurotransmitter synthesis or blood–brain barrier (BBB) integrity [8] (see also below).
Gut microbiome composition and activity is also regulated by output from the CNS via the autonomous nerve system and enteric nerve system that affects gut motility and stool transit time, via regulating dietary intake (hunger and satiety), and secretion of digestive juices, bicarbonate, antimicrobial peptides and immune functions. Moreover, the regulated release of different hormones such as thyroid hormones, growth hormone and stress hormones (mostly cortisol) has profound effects of gut function and gut microbiota [4, 5] establishing a reciprocal regulation and interaction between both organs.
Kidney function can modulate the interactions between gut microbiota and brain by clearing circulating factors by filtration or active tubular secretion which is most obvious for bacteria-derived molecules that act as uraemic toxins in CKD (see below) (Fig. 2).
SEX DIFFERENCES IN THE GUT MICROBIOME BRAIN AXIS
Across the lifespan, sex differences in the diversity and composition of the gut microbiome have been found in animals and humans. Sex hormones can modulate the gut microbiome and vice versa [19]. Gut bacteria metabolize sex hormones, their precursors and metabolites, and may thereby influence sex hormone–dependent host functions [20–22]. Age-related declines in both oestrogen and testosterone have been implicated in the pathogenesis of Alzheimer's disease [23, 24]. Oestrogens may help maintain cholinergic tone, thereby reducing the deposition of β-amyloid plaques in the brain [25]. The role of the gut microbiome in sex differences in human CKD and its manifestations will require further attention.
CHANGES OF THE GUT MICROBIOME IN AKI/CKD
In AKI and CKD, changes in the gut microbiome may contribute to the manifestations of CKD and AKI (e.g. by providing precursors for uraemic toxins) and may also modulate the kidney resilience to injury and its ability to support brain health.
THE COMPOSITION OF THE GUT MICROBIOME IN KIDNEY DISEASE
Dysbiosis of the gut microbiome has been recognized as a key contributor to the pathogenesis of both AKI and CKD, influencing disease progression and therapeutic outcomes. In kidney disease, disruption of the balance of the gut microbiota leads to a reduction in microbial diversity by promoting a shift in community structure, increasing the abundance of proteolytic bacteria and decreasing saccharolytic populations. These changes alter the bacterial metabolite output, and increase intestinal barrier permeability and systemic inflammation, which can exacerbate kidney damage [26–28].
When discussing gut microbiome alterations in patients with CKD in comparison with healthy individuals, important confounding factors must be considered, as recently discussed [29]. These confounders include not only estimated glomerular filtration rate, but also age, lifestyle factors such as sedentary lifestyle or exercise, differences in diet (especially fibre and water intake), comorbidities known to influence the gut microbiome (diabetes, hypertension, inflammatory diseases), host genetics, time of sampling (day and season), medications and stool transit time (often reduced in patients with advanced stages of CKD). Unfortunately, many previous studies were either unaware of these confounders or ignored their importance, and future studies need to be designed to include these variables in the analyses [29]. Similarly, the changes in gut microbiome composition discussed below must be interpreted with caution, as many studies were also too small to account for all confounders.
In mice, ischaemia–reperfusion injury, a model for AKI, higher abundance of Clostridium, Ruminococcus and Enterobacteriaceae and lower abundance of Bifidobacterium and Lactobacilli was found [30]. The role of the gut microbiome in also modulating the outcome from AKI has been recently reviewed [31]. Patients with CKD show significant changes in the composition of their gut microbiota, including a relative decrease in Prevotellaceae and Roseburia and an increase in pathobionts such as Enterobacteriaceaecae, Streptococcaceae and Enterococcus [32]. This is associated with an overall decrease in the production of SCFAs such as butyrate and an increase in urease activity [33, 34]. Similarly, changes in the diversity of the gut microbiome have been reported in patients on haemodialysis or peritoneal dialysis [35].
The causes of dysbiosis in patients with CKD are multifactorial (Fig. 3). Major contributors are elevated plasma urea levels, often sedentary lifestyles (especially in haemodialysis patients), low-fibre diets, constipation and slow stool transit times, and polypharmacy. In CKD, the intestinal epithelium secretes urea into the intestinal lumen, where it is hydrolysed by bacterial ureases to ammonia and binds protons (i.e. raises the intraluminal pH) to form ammonium. Higher luminal pH and urea levels favour the growth of bacteria that use urea as an energy source. Whether high urease activity is beneficial or detrimental remains an open question. Ammonia is well known as a neurotoxic agent in hepatic encephalopathy, while recent data in mice suggest that gut-derived ammonia may be an important precursor for brain metabolism to produce glutamine, glutamate and GABA [36]. Low levels of glutamate and GABA are associated with depressive-like behaviour in mice and restoring brain glutamine levels in mice with reduced intestinal ammonia production reversed depression.
Diet has a profound effect on the diversity and activity of the gut microbiome [37–39]. Patients with CKD have dietary patterns that favour loss of diversity and dysbiosis. This is partly due to the specific dietary advice given to patients with CKD, which includes restricting fruit, vegetables and nuts (to control potassium), as well as some other high-fibre foods, all of which are essential to support butyrate-producing bacteria. Low-protein diets also modulate the gut microbiome, increasing Lactobacillaceae, Bacteroidaceae and Streptococcus anginosus, while decreasing Roseburia faecis and Bacteroides eggerthii. Keto analogue diets also affect microbiome composition [9].
Diets low in fibre are also associated with another cause of dysbiosis, as fibre is important in binding water (and other toxins) and accelerating stool transit time. Low fibre in combination with hyperkalemia and water restriction, autonomic neuropathy, low physical activity, and potassium and phosphate binders can promote constipation [40]. Low stool transit time increases dysbiosis also independently from the presence of CKD [41, 42].
Low physical activity in patients with CKD [43] is another risk factor for dysbiosis. High physical activity in non-CKD individuals is associated with higher microbiota diversity and higher production of SCFAs [44]. Physical activity also associates with shorter stool transit times, reduced levels of bile acids and generally lower levels of systemic and intestinal inflammation, also increasing intestinal barrier function [45].
Patients with CKD are often exposed to a variety of medications, including different classes of antihypertensives, sodium-glucose cotransporter 2 (SGLT2) inhibitors, antidiabetic drugs such as metformin, laxatives, proton pump inhibitors, iron supplements, phosphate binders, vitamin D supplements and antibiotics [46, 47]. In patients with cancer, use of chemotherapy and radiotherapy usually contribute to alterations of the gut microbiota [48]. Polypharmacy is associated with poorer clinical outcomes and has a profound effect on the microbiota. Most of the drugs listed above are associated with multiple changes in the microbiota, even in patients without CKD [9]. The loss of microbial diversity caused by these drugs predisposes pathogenic bacteria to overgrowth, as exemplified by the increased risk of Clostridium difficile infection in patients with CKD [49]. Many non-antibiotic drugs have been recently shown to influence microbiota biology, including some commonly used in CKD such as vitamin D [50–53].
Role of gut-derived uraemic toxins in CKD and AKI
Uraemic toxins, as classified by the EUTox working group, include small water-soluble molecules, middle-sized molecules and protein-bound uraemic toxins (PBUTs), which accumulate due to reduced clearance [54]. Notably, plasma levels of these toxins rise with worsening kidney function, peaking in kidney failure [55]. Additionally, renal replacement therapies like haemodialysis and peritoneal dialysis are less effective at removing middle-sized and PBUTs, leading to their accumulation in various organs and tissues [56].
The primary uraemic toxins derived from the gut microbiota include indoxyl sulfate, p-cresyl sulfate and trimethylamine N-oxide (TMAO). They are produced through the fermentation of proteins and amino acids by gut bacteria. Indoxyl sulfate and p-cresyl sulfate are generated from tryptophan and tyrosine, respectively, and are associated with vascular damage, endothelial dysfunction and increased cardiovascular risk [57, 58]. TMAO, derived from dietary choline and carnitine, has been linked to cognitive decline and atherosclerosis and adverse cardiovascular outcomes in CKD patients [59–62]. These toxins exert their deleterious effects by inducing oxidative stress, inflammation and fibrosis [63]. PBUTs cause multi-organ damage and, by increasing in the systemic circulation, contribute to multiple comorbidities such as cardiovascular disease, immune dysfunction, malnutrition and inflammation [64].
The condition can be replicated in animal models where induction of renal failure increases accumulation of various uraemic toxins that affect BBB integrity and cognitive functions, as well as other organ functions (e.g. cardiovascular functions) [65–69].
The gut microbiota and kidney and brain resilience
Humans, their ancestors and their gut microbiome have been sharing metabolites for millions of years, so it is not surprising that the microbiota produce metabolites that enhance the resilience of human tissues to injury [70]. For example, dietary fibre is metabolized to SCFAs such as acetate, propionate and butyrate, all of which have been associated with improved health outcomes in multiple preclinical and clinical contexts [71]. The interaction between diet, microbiota and host is so close and relevant to health that even maternal dietary fibre has a long-term effect on the cardiometabolic health of offspring, an effect mediated by SCFAs and their receptors [72]. In addition to activating specific receptors, SCFAs modulate the epigenome, as exemplified by butyrate inhibition of histone deacetylase, and protect the brain [73, 74]. Microbiota production of SCFAs can be perturbed by the metabolic conditions of uraemia itself, as discussed below, but also by metabolic diseases that cause CKD, as exemplified by lyso-Gb3, a metabolite accumulated in Fabry disease that decreases butyrate production [75].
A link has been established between microbiota-derived SCFAs and kidney and brain resilience. For example, butyrate is renoprotective and prevents nephrotoxic AKI in mice by preserving the expression of renoprotective factors such as alpha-klotho, PGC1α and Nlrp6 [76], which are lost during AKI and CKD and have anti-inflammatory activity [77–80]. Indeed, alpha-klotho administration reproduced the renoprotective effects of butyrate, including reduced renal inflammation [76]. Interestingly, prophylactic butyrate administration was not protective: butyrate had to be administered during AKI. This has important clinical implications if translated to humans: most AKI episodes occur in the hospital, where antibiotic use, fasting, reduced food intake and parenteral nutrition interfere with fibre delivery to the gut microbiota and the microbiota's ability to produce butyrate.
Reduced renal production of alpha-klotho during renal injury has systemic effects that may involve the brain, as renal tubular cells are the major source of circulating alpha-Klotho levels [81], alpha-klotho deficiency causes cognitive impairment in mice [82] and partially reproduces the transcriptome of brain dementia [83], plasma alpha-klotho levels are associated with cognition in humans [84, 85], and maintaining or increasing circulating alpha-klotho levels by various means, including parenteral administration, protects against cognitive deficits in both mice and rhesus monkeys [86, 87]. A key mediator of brain protection by circulating alpha-klotho is CXCL4/platelet factor 4 (PF4), a platelet-derived cytokine that crosses the BBB and may account for the brain-rejuvenating effect of blood in young mice [88–90]. Indeed, increasing PF4 levels may be one of the anti-inflammatory pathways triggered by alpha-klotho [90].
Butyrate and Nlrp6 also protect against gut inflammation [91, 92]. Gut inflammation may spread systemically to reduce renal alpha-Klotho expression. Indeed, systemic inflammation decreases renal alpha-Klotho production, and anti–tumour necrosis factor antibodies preserve renal alpha-Klotho in the presence of gut inflammation [79, 93].
As PF4 is an exerkine, i.e. a signalling molecule released in response to acute and/or chronic exercise [25], the interaction of diet (fibre), butyrate-producing microbiota and renal-derived alpha-klotho is at the crossroads of lifestyle (healthy diet plus exercise-induced exerkines) and drugs for the prevention and treatment (e.g. via strategies such as SGLT2 inhibitors and GLP1 receptor agonists) of kidney disease and its effects on the brain [94–98]. These novel kidney-protective drugs may also have beneficial effects on gut microbiota [99–101] and brain health, and conversely, SCFAs promote GLP1 secretion [100]. Other microbiota products may contribute to healthy brain ageing by interacting with lifestyle. For example, microbiome-dependent production of endocannabinoid metabolites in the gut increases dopamine levels in the ventral striatum during exercise, thereby increasing motivation to exercise [102], again linking microbiota to renal health via exercise dependent alpha-Klotho, healthy lifestyle and delayed brain ageing.
Overall, all studies on the adverse brain effects of uraemic toxins formed in AKI or CKD should be viewed conceptually as a double hit: in addition to injury-inducing uraemic toxins, AKI and CKD are characterized by Klotho depletion, which reduces the resilience of the brain and other tissues to insults. (Figure 4).
The altered gut microbiome and its links to cognition in CKD
As discussed above, several metabolites produced by the healthy or dysbiotic microbiome affect key brain structures and functions. It is therefore not surprising that changes in the gut microbiome observed in animal models or in patients with CKD may be associated with or cause cognitive dysfunction. Some of these effects on the brain are briefly discussed below.
Alpha-klotho
Reduced effects of SCFAs on alpha-klotho and cognition as discussed above.
The BBB
Direct effects of uraemic toxins on the integrity of the BBB are well documented and loss of barrier function is implicated in several brain pathologies [103–105]. The BBB is disrupted both in animal models of CKD [66] and in patients with kidney failure [106]. Several toxins released by bacteria, such as LPS or uraemic toxins derived from bacterial products such as indoxyl sulfate, impair BBB integrity by acting on the toll-like receptor 4 (TLR4), or the aryl hydrocarbon receptor (AhR), respectively [67, 68]. Elevated urea levels also activate matrix metalloproteinase-2, leading to BBB breakdown [107].
Vascular damage
CKD is a major risk factor for vascular damage and dysfunction. Vascular damage promotes and causes neurodegenerative disease and cognitive decline [108, 109]. Several uraemic toxins such as phosphate, parathyroid hormone, fibroblast growth factor 23, urea, and the bacteria-derived toxins p-cresyl sulphate and indoxyl sulphate create a vascular milieu characterized by oxidative stress, reduced NO production and a proinflammatory state [110–112].
Neurotransmitters
Loss of BBB integrity in patients with CKD favours penetration of uraemic toxins and other molecules into the brain parenchyma. Increased bacterial metabolism of amino acids such as tryptophan can lead to depletion of this amino acid, which is the essential precursor for the synthesis of the neurotransmitters serotonin and melatonin. In rats with CKD, the bacterial metabolites p-cresyl sulphate, indoxyl sulphate and the tryptophan metabolites kynurenine, kynurenic acid, 3-hydroxykynurenine, anthranilic acid, xanthurenic acid, 5-hydroxyindoleacetic acid, picolinic acid and quinolinic acid increased, while serotonin and tyrosine decreased. Animals should show anxiety-like behaviour and cognitive deficits [113, 114].
Endocannabinoid-like mediators produced by the host in manner influenced by bacteria may act on local receptors that modulate gut barrier integrity and mediate or counteract some of the adverse effects of a high-fat diet on low-grade inflammation and the gut barrier [115]. Such mediators include the endocannabinoids and the N-acyl-serotonins, which can also counteract depression-like symptoms in animals [116]. Additionally, gut microbiota can also alter the levels of endocannabinoids and endocannabinoid-like mediators in the brain, in a manner predicted to affect mood [117]. Finally, gut bacteria produce endocannabinoid-like molecules, such as the N-acyl-glycines [118], which are known to affect the brain via PPARα [119] or the lysophosphatidylcholine receptor G2A/GPR132 [118].
Neuroinflammation/oxidative stress
Uraemic toxins such as indoxyl sulfate are neurotoxic [120] and cause systemic and local inflammation [121]. Indoxyl sulfate also causes astrocytosis via stimulation of AhR and neuronal cell death [122]. Similarly, homocysteine levels increase in CKD due to reduced folic acid production by colonic bacteria [123], and exacerbate neuroinflammation [124]. Dysbiosis and loss of intestinal barrier function causes invasion of bacteria, and local intestinal and systemic inflammation that includes increased circulation of proinflammatory cytokines and LPS that also affect brain [11].
Myelinization
The first step in the production of 4-ethylphenol (4-EP) from tyrosine is mediated by Bacteroides ovatus. 4-EP is then sulphated by human metabolism to 4-ethylpheyl-sulfate which can enter the brain [125]. There it reduces synthesis of the myelin sheath by oligodendrocytes ultimately affecting neuronal function. In patients with CKD, 4-EP clearance by the kidneys is reduced, and in mice, elevated levels of 4-EP reduce brain myelination and cause anxiety and depressive-like behaviour [125]. Elevated levels of 4-EP have also been found in patients with anxiety and autism [126]. It remains to be tested whether targeting 4-EP levels can affect brain health in people with CKD.
THE GUT MICROBIOME AS THERAPEUTIC TARGET
Based on the changes in gut microbiome in patients with CKD, the changes in gut microbiome–derived metabolites, and established and emerging links to brain pathologies, modulation of the gut microbiome is becoming a viable therapeutic target. Next to kidney replacement therapies, several and potentially synergistic strategies are plausible but will require controlled clinical trials before becoming recommended therapies (Fig. 5).
Physical activity
Physical activity has been shown to have beneficial effects in cognitive decline [127] and may act via release of exerkines on brain as discussed above. Physical activity also modulates the gut microbiome [44, 128]. Most studies in humans are cross-sectional and only few longitudinal studies exist. However, exercise is associated with higher microbiome diversity and higher production of SCFAs [45, 128, 129]. No studies have addressed the effect of exercise on the gut microbiome in patients with CKD to date.
Diet and nutrition
Dietary interventions in patients with CKD traditionally aim to prevent hyperkalemia, overhydration or high phosphate loads while providing sufficient protein and other nutrients [130]. A recent trial, the Mediterranean–DASH Intervention for Neurodegenerative Delay (MIND diet trial) provided no evidence for a benefit in a non-CKD population at risk for dementia [131, 132]. However, this population had normal kidney function, had been selected based on a family history of dementia and follow-up was only over 3 years. No information on gut microbiome was provided. In contrast, high adherence to a 1-year Mediterranean diet intervention led to improvement of global cognition and episodic memory [133, 134]. High diet adherence was further associated with specific microbiome alterations, increased SCFAs and decreased secondary bile acids and p-cresol production [133, 134]. An ideal diet for higher gut microbiome diversity and activity needs to contain sufficient amounts of dietary fibre which not only provides the source for SCFAs production but will also accelerate stool transit times and has the capacity to bind uraemic toxins. If fibres cannot be provided in the form of fruits, vegetables, whole grain products, and pulses and nuts, direct supplementation of fibres may be considered [135, 136]. Accordingly, even a very short period (2 days) of a Mediterranean-like diet, in individuals coming from a 12-day western-like diet, was recently shown to produce effects on circulating SCFAs and endocannabinoid-like mediators that are predicted to be beneficial for dysmetabolism and other potential consequences of gut dysbiosis [137]. Moreover, novel potassium binders may allow for a more liberal diet and even decrease ammonia absorption and serum urea levels, although their impact on the gut microbiome is still incompletely understood [138, 139].
Probiotic and prebiotic supplements
Modulation of the gut microbiota with probiotics (live microorganisms that, when administered in adequate amounts, confer a health benefit on the host [140]), prebiotics (substrates, that are selectively utilized by host microorganisms conferring a health benefit [141]) or synbiotics (a combination of pro-and prebiotics) has been studied for prevention or improvement of cognitive decline as well as for correction of kidney disease associated dysbiosis and uraemic toxin production. Meta-analyses of randomized controlled trials testing the impact of probiotics on cognitive decline found improvement of cognitive functions in participants with impaired cognition [142, 143]. Fewer studies addressed the potential of prebiotic supplementation. A recent 12-week intervention with inulin and fructo-oligosaccharides improved cognitive functions in elderly twin pairs [144].
Pro-, pre- and synbiotic interventions in CKD patients have been analysed in meta-analyses [145–149]. In general, no improvement of kidney function but lower levels of uraemic toxins (p-cresol, indoxyl sulphate) and circulating markers of inflammation (e.g. C-reactive protein, interleukin-6) were reported. Yet, the impact on uraemic toxins differed between studies, likely reflecting the heterogeneity of probiotics (strain-specific properties) and prebiotics (chemical structures), but also the heterogeneity of participating patients with CKD. Likewise, the few studies that included the effect of biotic interventions on the gut microbiota of kidney disease patients found diverging results [150–154].
Currently, the impact of pro- or prebiotic interventions on uraemic toxins and inflammatory markers looks promising, but whether this translates into improvement of CKD-associated cognitive decline has not been addressed and more evidence from currently ongoing trials is needed [29]. More recently they were also reported to have potentially beneficial effects on brain (and kidney) health [70, 155].
Fecal microbiota transplantation
Fecal microbiota transplantation (FMT) has emerged as a treatment for severe intestinal dysbiosis as in patients with recurrent C. difficile infections or patients with inflammatory bowel disease [156, 157]. Despite some evidence from animal studies, that transfer of bacteria from healthy donor animals or humans could have beneficial effects on parameters of kidney function, fibrosis and inflammation [158], no controlled studies have been reported to date. A retrospective analysis of patients who underwent FMT for treatment of inflammatory bowel disease or functional bowel disease suggested that patients with reduced kidney function experienced an improvement after FMT [159]. FMT is also in early clinical development for brain protection, although not yet in the context of CKD [160].
SUMMARY AND CONCLUSION
The gut microbiome communicates with various organs and systemic functions including the brain and thereby modulates important aspects of brain function including brain metabolism, cognition, mood and autonomous nerve system outflow. In patients with CKD, profound changes in the composition of the gut microbiome occur and likely participate in pathological alterations of brain function. Based on animal data and observational human studies, several pathways may be implicated in the decline of cognitive function. Increasing understanding of which components of the gut microbiome are relevant for human health and how to manipulate the gut microbiome may provide opportunities to improve healthcare for patients with CKD and cognitive decline. Controlled clinical trials are necessary to test the effectiveness of targeted interventions to restore microbiome functions and to examine whether these measures improve kidney function and prevent or even reverse cognitive decline.
ACKNOWLEDGEMENTS
All authors were supported by the CONNECT COST action CA19127 Cognitive decline in Nephro-Neurology. C.A.W. is supported by the Swiss National Science Foundation. A.O.’s research is further supported by Comunidad de Madrid en Biomedicina P2022/BMD-7223, CIFRA_COR-CM, Instituto de Salud Carlos III (ISCIII) FIS/Fondos FEDER (PI22/00469, PI22/00050, PI21/00251, ERA-PerMed-JTC2022 (SPAREKID AC22/00027), RICORS program to RICORS2040 (RD21/0005/0001) co-funded by European Union—NextGenerationEU, Mecanismo para la Recuperación y la Resiliencia (MRR) and SPACKDc PMP21/00109, FEDER funds, COST Action PERMEDIK CA21165, supported by COST (European Cooperation in Science and Technology); PREVENTCKD Consortium Project ID: 101101220 Programme: EU4H DG/Agency: HADEA. KitNewCare, Project ID: 101137054, Call: HORIZON-HLTH-2023-CARE-04, Programme: HORIZON. DG/Agency: HADEA.PICKED Project ID 101168626 HORIZON-MSCA-2023-DN-01-01 MSCA Doctoral Networks 2023. Figures were created using BioRender.
APPENDIX
CONNECT collaborators
Giovambattista Capasso, Alexandre Andrade, Mustafa Arici, Maie Bachmann, Matthew Bailey, Michelangela Barbieri, Mickaël Bobot, Annette Bruchfeld, Inga Arune-Bumblyte, Daiva Rastenytė, Antonello Calcutta, Giovanna Capolongo, Sol Carriazo, Michele Ceccarelli, Adrian Constantin Covic, Ananya De, Pilar Delgado, Nicole Endlich, Matthias Endres, Fabrizio Esposito, Michele Farisco, Quentin Faucher, Ana Carina Ferreira, Andreja Figurek, Denis Fouque, Casper Franssen, Ivo Fridolin, Sebastian Frische, Liliana Garneata, Loreto Gesualdo, Konstantinos Giannakou, Olivier Godefroy, Aleksandra Golenia, Dimitrios Goumenos, Eugenio Gutiérrez Jiménez, Gaye Hafez, Ewout Hoorn, Pedro Henrique Imenez Silva, Raafiah Izhar, Dearbhla Kelly, Shelli Kesler, Aleksandra Klimkowicz-Mrowiec, Samuel Knauss, Justina Kurganaite, Hélène Levassort, Sophie Liabeuf, Jolanta Malyszko, Laila-Yasmin Mani, Gianvito Martino, Ziad Massy, Christopher Mayer, Armida Mucci, Alma Mutevelic-Turkovic, Rikke Nielsen, Dorothea Nitsch, Alberto Ortiz, Vasileios Panagiotopoulos, Despoina Karasavvidou, Giuseppe Paolisso, Bojana Pejušković, Marion Pepin, Alessandra Perna, Andrea Perrottelli, Vesna Pešić, Pasquale Pezzella, Merita Rroji (Molla), Ivan Rychlík, Giorgos Sakkas, Mariadelina Simeoni, Maria José Soler Romeo, Goce Spasovski, Ana Starčević, Gioacchino Tedeschi, Francesco Trevisani, Robert Unwin, Evgueniy Vazelov, Carsten Alexander Wagner, Franca Wagner, Christoph Wanner, Andrzej Wiecek, Hong Xu, Miriam Zacchia, Lefteris Zacharia, Irene Zecchino, Carmine Zoccali, Francesco Mattace-Raso, Karl-Hans Endlich, Norberto Perico, Giuseppe Remuzzi, Francesco Trepiccione, Mark Okusa, Vincenzo Di Marzo, Peter Blankestijn, Kai-Uwe Eckardt, Maximilian Konig, Ron Gansevoort, Hassan Askari, Brian Hansen, Sunna Snaedal, Elena Cuiban, Edoardo Caporusso, Vincenzina Lo Re, Jonathan Roiser, Kerry Rosenberg, Alvino Bisecco, Laura Denby, Onkar Prakash Kulkarni, Kumar Sharma, Subrata Debnath, Afaf Jaafar, Anna Capasso, Michele Mulholland, Biruh Workeneh, Anna Iervolino, Simon Fraser, Isabelle Frey-Wagner, Annachiara Pastore, Antonio De Donato, Romaldas Mačiulaitis, and Ana Farinha.
Notes
Members of the The CONNECT consortium are listed in the Acknowledgements.
Contributor Information
Carsten A Wagner, Institute of Physiology and Zurich Kidney Center, University of Zurich, Switzerland.
Isabelle Frey-Wagner, Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.
Alberto Ortiz, Department of Nephrology and Hypertension, IIS-Fundacion Jimenez Diaz UAM, RICORS2040, Madrid, Spain.
Robert Unwin, Department of Renal Medicine, University College London, London, UK.
Sophie Liabeuf, Pharmacoepidemiology Unit, Department of Clinical Pharmacology, Amiens-Picardie University Medical Center, Amiens, France; MP3CV Laboratory, Jules Verne University of Picardie, Amiens, France.
Yoko Suzumoto, Biogem, Molecular Biology and Genetics Research Institute, Ariano Irpino, Italy; Institute of Biochemistry and Cell Biology, National Research Council of Italy, Naples, Italy.
Anna Iervolino, Biogem, Molecular Biology and Genetics Research Institute, Ariano Irpino, Italy; University of Campania “L. Vanvitelli”, Naples, Italy.
Alessandra Stasi, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J) Nephrology, Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy.
Vincenzo Di Marzo, Canada Excellence Research Chair on the Microbiome-Endocannabinoidome Axis in Metabolic Health, CRIUCPQ and INAF, Centre NUTRISS, Faculties of Medicine and Agriculture and Food Sciences, Université Laval, Québec City, Canada; Joint International Research Unit for Chemical and Biomolecular Research on the Microbiome and its impact on Metabolic Health and Nutrition (JIRU-MicroMeNu) between Université Laval Québec, Canada and Consiglio Nazionale delle Ricerche, Institute of Biomolecular Chemistry, Pozzuoli, Italy.
Loreto Gesualdo, Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J) Nephrology, Dialysis and Transplantation Unit, University of Bari Aldo Moro, Bari, Italy.
Ziad A Massy, INSERM Unit 1018, Team 5, CESP, Hôpital Paul Brousse, Paris-Saclay University and Versailles Saint-Quentin-en-Yvelines University (UVSQ), Villejuif, France; Association pour l'Utilisation du Rein Artificiel dans la région parisienne (AURA) Paris, France and Ambroise Paré University Hospital, APHP, Department of Nephrology Boulogne-Billancourt, Paris, France.
CONNECT Action (Cognitive Decline in Nephro-Neurology European Cooperative Target) collaborators:
Giovambattista Capasso, Alexandre Andrade, Mustafa Arici, Maie Bachmann, Matthew Bailey, Michelangela Barbieri, Mickaël Bobot, Annette Bruchfeld, Inga Arune-Bumblyte, Daiva Rastenytė, Antonello Calcutta, Giovanna Capolongo, Sol Carriazo, Michele Ceccarelli, Adrian Constantin Covic, Ananya De, Pilar Delgado, Nicole Endlich, Matthias Endres, Fabrizio Esposito, Michele Farisco, Quentin Faucher, Ana Carina Ferreira, Andreja Figurek, Denis Fouque, Casper Franssen, Ivo Fridolin, Sebastian Frische, Liliana Garneata, Loreto Gesualdo, Konstantinos Giannakou, Olivier Godefroy, Aleksandra Golenia, Dimitrios Goumenos, Eugenio Gutiérrez Jiménez, Gaye Hafez, Ewout Hoorn, Pedro Henrique Imenez Silva, Raafiah Izhar, Dearbhla Kelly, Shelli Kesler, Aleksandra Klimkowicz-Mrowiec, Samuel Knauss, Justina Kurganaite, Hélène Levassort, Sophie Liabeuf, Jolanta Malyszko, Laila-Yasmin Mani, Gianvito Martino, Ziad Massy, Christopher Mayer, Armida Mucci, Alma Mutevelic-Turkovic, Rikke Nielsen, Dorothea Nitsch, Alberto Ortiz, Vasileios Panagiotopoulos, Despoina Karasavvidou, Giuseppe Paolisso, Bojana Pejušković, Marion Pepin, Alessandra Perna, Andrea Perrottelli, Vesna Pešić, Pasquale Pezzella, Merita Rroji (Molla), Ivan Rychlík, Giorgos Sakkas, Mariadelina Simeoni, Maria José Soler Romeo, Goce Spasovski, Ana Starčević, Gioacchino Tedeschi, Francesco Trevisani, Robert Unwin, Evgueniy Vazelov, Carsten Alexander Wagner, Franca Wagner, Christoph Wanner, Andrzej Wiecek, Hong Xu, Miriam Zacchia, Lefteris Zacharia, Irene Zecchino, Carmine Zoccali, Francesco Mattace-Raso, Karl-Hans Endlich, Norberto Perico, Giuseppe Remuzzi, Francesco Trepiccione, Mark Okusa, Vincenzo Di Marzo, Peter Blankestijn, Kai-Uwe Eckardt, Maximilian Konig, Ron Gansevoort, Hassan Askari, Brian Hansen, Sunna Snaedal, Elena Cuiban, Edoardo Caporusso, Vincenzina Lo Re, Jonathan Roiser, Kerry Rosenberg, Alvino Bisecco, Laura Denby, Onkar Prakash Kulkarni, Kumar Sharma, Subrata Debnath, Afaf Jaafar, Anna Capasso, Michele Mulholland, Biruh Workeneh, Anna Iervolino, Simon Fraser, Isabelle Frey-Wagner, Annachiara Pastore, Romaldas Mačiulaitis, Antonio De Donato, and Ana Farinha
FUNDING
This article is based upon work from COST Action CA19127, supported by COST (European Cooperation in Science and Technology). www.cost.eu. COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.
DATA AVAILABILITY STATEMENT
No new data were generated or analysed in support of this research.
CONFLICT OF INTEREST STATEMENT
C.A.W. reports honoraria from Kyowa Kirin and Medice, and collaborations with Chugai and Bayer AG. A.O. has received grants from Sanofi and consultancy or speaker fees or travel support from Adviccene, Alexion, Astellas, AstraZeneca, Amicus, Amgen, Bioporto, Boehringer Ingelheim, Fresenius Medical Care, GSK, Bayer, Sanofi-Genzyme, Sobi, Menarini, Mundipharma, Kyowa Kirin, Lilly, Freeline, Idorsia, Chiesi, Otsuka, Novo-Nordisk, Sysmex and Vifor Fresenius Medical Care Renal Pharma and Spafarma, and is Director of the Catedra UAM-Astrazeneca of chronic kidney disease and electrolytes. He has stock in Telara Farma. R.U. is Professor Emeritus UCL and is currently employed part-time as a Chief Scientist (kidney diseases) by AstraZeneca Biopharmaceuticals R&D, Cambridge, UK. L.G. received grant support from Abionyx and Sanofi to his University department (DIMEPRE-); he has been a member of advisory boards for AstraZeneca, Baxter, Chinook, GSK, Mundipharma, Novartis, Pharmadoc, Roche, Sanofi, Travere and Vifor Pharma, and an invited speaker at meetings supported by AstraZeneca, Astellas, Estor, Fresenius, Werfen, Medtronic, Travere and GSK. Z.A.M. reports grants from NATIONAL RESEARCH AGENCY, during the conduct of the study; grants from Amgen, grants from Sanofi-Genzyme, grants from French Government, grants from MSD, grants and other from GSK, grants from Lilly, grants from Fresenius Medical Care, grants from Baxter, grants from Otsuka, grants and other from AstraZeneca, grants from Vifor and other from Boehringer, outside the submitted work.
REFERENCES
Untitled section
References
- 1. Viggiano D. Mild cognitive impairment and kidney disease: clinical aspects. Nephrol Dial Transplant 2020;35:10–17.
- 2. Viggiano D, Wagner CA, Martino Get al. Mechanisms of cognitive dysfunction in CKD. Nat Rev Nephrol 2020;16:452–69. 10.1038/s41581-020-0266-9
- 3. Farisco M, Blumblyte IA, Franssen Cet al. Cognitive decline related to chronic kidney disease as an exclusion factor from kidney transplantation: results from an international survey. Clin Kidney J 2024;17:sfae114. 10.1093/ckj/sfae114
- 4. Martin CR, Osadchiy V, Kalani Aet al. The brain-gut-microbiome axis. Cell Mol Gastroenterol Hepatol 2018;6:133–48. 10.1016/j.jcmgh.2018.04.003
- 5. Morais LH, Schreiber HL, Mazmanian SK. The gut microbiota-brain axis in behaviour and brain disorders. Nat Rev Microbiol 2021;19:241–55. 10.1038/s41579-020-00460-0
- 6. Hashimoto K. Emerging role of the host microbiome in neuropsychiatric disorders: overview and future directions. Mol Psychiatry 2023;28:3625–37. 10.1038/s41380-023-02287-6
- 7. Cryan JF, Dinan TG. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour. Nat Rev Neurosci 2012;13:701–12. 10.1038/nrn3346
- 8. Cryan JF, O'Riordan KJ, Cowan CSMet al. The microbiota-gut-brain axis. Physiol Rev 2019;99:1877–2013. 10.1152/physrev.00018.2018
- 9. Lambert K, Rinninella E, Biruete Aet al. Targeting the gut microbiota in kidney disease: the future in renal nutrition and metabolism. J Ren Nutr 2023;33:S30–9. 10.1053/j.jrn.2022.12.004
- 10. Makki K, Deehan EC, Walter Jet al. The impact of dietary fiber on gut microbiota in host health and disease. Cell Host Microbe 2018;23:705–15. 10.1016/j.chom.2018.05.012
- 11. Rutsch A, Kantsjö JB, Ronchi F. The gut-brain axis: how microbiota and host inflammasome influence brain physiology and pathology. Front Immunol 2020;11:604179. 10.3389/fimmu.2020.604179
- 12. Loh JS, Mak WQ, Tan LKSet al. Microbiota-gut-brain axis and its therapeutic applications in neurodegenerative diseases. Signal Transduct Target Ther 2024;9:37. 10.1038/s41392-024-01743-1
- 13. Horvath TD, Haidacher SJ, Engevik MAet al. Interrogation of the mammalian gut-brain axis using LC-MS/MS-based targeted metabolomics with in vitro bacterial and organoid cultures and in vivo gnotobiotic mouse models. Nat Protoc 2023;18:490–529. 10.1038/s41596-022-00767-7
- 14. Aburto MR, Cryan JF. Gastrointestinal and brain barriers: unlocking gates of communication across the microbiota–gut–brain axis. Nat Rev Gastroenterol Hepatol 2024;21:222–47.
- 15. Connell E, Le Gall G, Pontifex MGet al. Microbial-derived metabolites as a risk factor of age-related cognitive decline and dementia. Mol Neurodegener 2022;17:43. 10.1186/s13024-022-00548-6
- 16. Varian BJ, Weber KT, Erdman SE. Oxytocin and the microbiome. Compr Psychoneuroendocrinol 2023;16:100205. 10.1016/j.cpnec.2023.100205
- 17. Schéle E, Grahnemo L, Anesten Fet al. The gut microbiota reduces leptin sensitivity and the expression of the obesity-suppressing neuropeptides proglucagon (Gcg) and brain-derived neurotrophic factor (Bdnf) in the central nervous system. Endocrinology 2013;154:3643–51. 10.1210/en.2012-2151
- 18. Yaribeygi H, Rashidy-Pour A, Atkin SLet al. GLP-1 mimetics and cognition. Life Sci 2021;264:118645. 10.1016/j.lfs.2020.118645
- 19. Jašarević E, Morrison KE, Bale TL. Sex differences in the gut microbiome-brain axis across the lifespan. Philos Trans R Soc Lond B Biol Sci 2016;371:20150122. 10.1098/rstb.2015.0122
- 20. Valeri F, Endres K. How biological sex of the host shapes its gut microbiota. Front Neuroendocrinol 2021;61:100912. 10.1016/j.yfrne.2021.100912
- 21. Markle JGM, Frank DN, Mortin-Toth Set al. Sex differences in the gut microbiome drive hormone-dependent regulation of autoimmunity. Science 2013;339:1084–8. 10.1126/science.1233521
- 22. Del Castillo-Izquierdo Á, Mayneris-Perxachs J, Fernández-Real JM. Bidirectional relationships between the gut microbiome and sexual traits. Am J Physiol Cell Physiol 2022;322:C1223–9. 10.1152/ajpcell.00116.2022
- 23. Barron AM, Pike CJ. Sex hormones, aging, and Alzheimer's disease. Front Biosci (Elite Ed) 2012;4:976–97.
- 24. Nerattini M, Jett S, Andy Cet al. Systematic review and meta-analysis of the effects of menopause hormone therapy on risk of Alzheimer's disease and dementia. Front Aging Neurosci 2023;15:1260427. 10.3389/fnagi.2023.1260427
- 25. German‐Castelan L, Shanks HRC, Gros Ret al. Sex-dependent cholinergic effects on amyloid pathology: a translational study. Alzheimers Dement 2024;20:995–1012. 10.1002/alz.13481
- 26. Kobayashi T, Iwata Y, Nakade Yet al. Significance of the gut microbiota in acute kidney injury. Toxins (Basel) 2021;13:369. 10.3390/toxins13060369
- 27. Kim M-G, Cho WY, Chung SMet al. Altered gut microbiome plays an important role in AKI to CKD transition in aged mice. Front Med (Lausanne) 2023;10:1238960. 10.3389/fmed.2023.1238960
- 28. Jackson MA, Verdi S, Maxan M-Eet al. Gut microbiota associations with common diseases and prescription medications in a population-based cohort. Nat Commun 2018;9:2655. 10.1038/s41467-018-05184-7
- 29. Krukowski H, Valkenburg S, Madella A-Met al. Gut microbiome studies in CKD: opportunities, pitfalls and therapeutic potential. Nat Rev Nephrol 2023;19:87–101. 10.1038/s41581-022-00647-z
- 30. Lei J, Xie Y, Sheng Jet al. Intestinal microbiota dysbiosis in acute kidney injury: novel insights into mechanisms and promising therapeutic strategies. Ren Fail 2022;44:571–80. 10.1080/0886022X.2022.2056054
- 31. Patel SK, Gooya M, Guo Qet al. The microbiome and acute organ injury: focus on kidneys. Nephrol Dial Transplant 2024. 10.1093/ndt/gfae196
- 32. Stanford J, Charlton K, Stefoska-Needham Aet al. The gut microbiota profile of adults with kidney disease and kidney stones: a systematic review of the literature. BMC Nephrol 2020;21:215. 10.1186/s12882-020-01805-w
- 33. Gao B, Jose A, Alonzo-Palma Net al. Butyrate producing microbiota are reduced in chronic kidney diseases. Sci Rep 2021;11:23530. 10.1038/s41598-021-02865-0
- 34. Voroneanu L, Burlacu A, Brinza Cet al. Gut microbiota in chronic kidney disease: from composition to modulation towards better outcomes-a systematic review. J Clin Med 2023;12:1948. 10.3390/jcm12051948
- 35. Luo D, Zhao W, Lin Zet al. the effects of hemodialysis and peritoneal dialysis on the gut microbiota of end-stage renal disease patients, and the relationship between gut microbiota and patient prognoses. Front Cell Infect Microbiol 2021;11:579386. 10.3389/fcimb.2021.579386
- 36. Wang P, Wu P-F, Wang H-Jet al. Gut microbiome-derived ammonia modulates stress vulnerability in the host. Nat Metab 2023;5:1986–2001. 10.1038/s42255-023-00909-5
- 37. Ross FC, Patangia D, Grimaud Get al. The interplay between diet and the gut microbiome: implications for health and disease. Nat Rev Microbiol 2024;22:671–86. 10.1038/s41579-024-01068-4
- 38. Wilson AS, Koller KR, Ramaboli MCet al. Diet and the human gut microbiome: an international review. Dig Dis Sci 2020;65:723–40. 10.1007/s10620-020-06112-w
- 39. Perler BK, Friedman ES, Wu GD. The role of the gut microbiota in the relationship between diet and human health. Annu Rev Physiol 2023;85:449–68. 10.1146/annurev-physiol-031522-092054
- 40. Sumida K, Yamagata K, Kovesdy CP. Constipation in CKD. Kidney Int Rep 2020;5:121–34. 10.1016/j.ekir.2019.11.002
- 41. Minnebo Y, Delbaere K, Goethals Vet al. Gut microbiota response to in vitro transit time variation is mediated by microbial growth rates, nutrient use efficiency and adaptation to in vivo transit time. Microbiome 2023;11:240. 10.1186/s40168-023-01691-y
- 42. Procházková N, Falony G, Dragsted LOet al. Advancing human gut microbiota research by considering gut transit time. Gut 2023;72:180–91. 10.1136/gutjnl-2022-328166
- 43. Avesani CM, Trolonge S, Deleaval Pet al. Physical activity and energy expenditure in haemodialysis patients: an international survey. Nephrol Dial Transplant 2012;27:2430–4. 10.1093/ndt/gfr692
- 44. Boytar AN, Skinner TL, Wallen REet al. The effect of exercise prescription on the human gut microbiota and comparison between clinical and apparently healthy populations: a systematic review. Nutrients 2023;15:1534. 10.3390/nu15061534
- 45. Vandecruys M, De Smet S, De Beir Jet al. Revitalizing the gut microbiome in chronic kidney disease: a comprehensive exploration of the therapeutic potential of physical activity. Toxins (Basel) 2024;16:242. 10.3390/toxins16060242
- 46. Kimura H, Tanaka K, Saito Het al. Association of polypharmacy with kidney disease progression in adults with CKD. Clin J Am Soc Nephrol 2021;16:1797–804. 10.2215/CJN.03940321
- 47. Oosting IJ, Colombijn JMT, Kaasenbrood Let al. Polypharmacy in patients with CKD: a systematic review and meta-analysis. Kidney360 2024;5:841–50. 10.34067/KID.0000000000000447
- 48. Toor D, Wsson MK, Kumar Pet al. Dysbiosis disrupts gut immune homeostasis and promotes gastric diseases. Int J Mol Sci 2019;20:2432. 10.3390/ijms20102432
- 49. Dudzicz S, Wiecek A, Adamczak M. Clostridioides difficile infection in chronic kidney disease-an overview for clinicians. J Clin Med 2021;10:196. 10.3390/jcm10020196
- 50. Klünemann M, Andrejev S, Blasche Set al. Bioaccumulation of therapeutic drugs by human gut bacteria. Nature 2021;597:533–8. 10.1038/s41586-021-03891-8
- 51. Lindell AE, Zimmermann-Kogadeeva M, Patil KR. Multimodal interactions of drugs, natural compounds and pollutants with the gut microbiota. Nat Rev Microbiol 2022;20:431–43. 10.1038/s41579-022-00681-5
- 52. Giampazolias E, Pereira Da Costa M, Lam KCet al. Vitamin D regulates microbiome-dependent cancer immunity. Science 2024;384:428–37. 10.1126/science.adh7954
- 53. Müller P, De La Cuesta-Zuluaga J, Kuhn Met al. High-throughput anaerobic screening for identifying compounds acting against gut bacteria in monocultures or communities. Nat Protoc 2024;19:668–99. 10.1038/s41596-023-00926-4
- 54. Rosner MH, Reis T, Husain-Syed Fet al. Classification of uremic toxins and their role in kidney failure. Clin J Am Soc Nephrol 2021;16:1918–28. 10.2215/CJN.02660221
- 55. Wu I-W, Hsu K-H, Lee C-Cet al. p-Cresyl sulphate and indoxyl sulphate predict progression of chronic kidney disease. Nephrol Dial Transplant 2011;26:938–47. 10.1093/ndt/gfq580
- 56. Caggiano G, Amodio L, Stasi Aet al. Gut-derived uremic toxins in CKD: an improved approach for the evaluation of serum indoxyl sulfate in clinical practice. Int J Mol Sci 2023;24:5142. 10.3390/ijms24065142
- 57. Barreto FC, Barreto DV, Liabeuf Set al. Serum indoxyl sulfate is associated with vascular disease and mortality in chronic kidney disease patients. Clin J Am Soc Nephrol 2009;4:1551–8. 10.2215/CJN.03980609
- 58. Liabeuf S, Barreto DV, Barreto FCet al. Free p-cresylsulphate is a predictor of mortality in patients at different stages of chronic kidney disease. Nephrol Dial Transplant 2010;25:1183–91. 10.1093/ndt/gfp592
- 59. Schuett K, Kleber ME, Scharnagl Het al. Trimethylamine-N-oxide and heart failure with reduced versus preserved ejection fraction. J Am Coll Cardiol 2017;70:3202–4. 10.1016/j.jacc.2017.10.064
- 60. Tang WHW, Wang Z, Kennedy DJet al. Gut microbiota-dependent trimethylamine N-oxide (TMAO) pathway contributes to both development of renal insufficiency and mortality risk in chronic kidney disease. Circ Res 2015;116:448–55. 10.1161/CIRCRESAHA.116.305360
- 61. Brunt VE, Larocca TJ, Bazzoni AEet al. The gut microbiome-derived metabolite trimethylamine N-oxide modulates neuroinflammation and cognitive function with aging. Geroscience 2021;43:377–94. 10.1007/s11357-020-00257-2
- 62. Chen X, Gu M, Hong Yet al. Association of trimethylamine N-oxide with normal aging and neurocognitive disorders: a narrative review. Brain Sci 2022;12:1203. 10.3390/brainsci12091203
- 63. El Chamieh C, Liabeuf S, Massy Z. Uremic toxins and cardiovascular risk in chronic kidney disease: what have we learned recently beyond the past findings? Toxins (Basel) 2022;14:280. 10.3390/toxins14040280
- 64. Opdebeeck B, Maudsley S, Azmi Aet al. Indoxyl sulfate and p-cresyl sulfate promote vascular calcification and associate with glucose intolerance. J Am Soc Nephrol 2019;30:751–66. 10.1681/ASN.2018060609
- 65. Mazumder MK, Giri A, Kumar Set al. A highly reproducible mice model of chronic kidney disease: evidences of behavioural abnormalities and blood-brain barrier disruption. Life Sci 2016;161:27–36. 10.1016/j.lfs.2016.07.020
- 66. Bobot M, Thomas L, Moyon Aet al. Uremic toxic blood-brain barrier disruption mediated by AhR activation leads to cognitive impairment during experimental renal dysfunction. J Am Soc Nephrol 2020;31:1509–21. 10.1681/ASN.2019070728
- 67. Lano G, Burtey S, Sallée M. Indoxyl sulfate, a uremic endotheliotoxin. Toxins (Basel) 2020;12:229. 10.3390/toxins12040229
- 68. Wei C, Jiang W, Wang Ret al. Brain endothelial GSDMD activation mediates inflammatory BBB breakdown. Nature 2024;629:893–900. 10.1038/s41586-024-07314-2
- 69. Xia J. Oat dietary fiber delays the progression of chronic kidney disease in mice by modulating the gut microbiota and reducing uremic toxin levels. J Agric Food Chem 2024. 10.1021/acs.jafc.4c02591. Online ahead of print.
- 70. Favero C, Giordano L, Mihaila SMet al. Postbiotics and Kidney Disease. Toxins (Basel) 2022;14:623. 10.3390/toxins14090623
- 71. Koh A, De Vadder F, Kovatcheva-Datchary Pet al. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell 2016;165:1332–45. 10.1016/j.cell.2016.05.041
- 72. Kimura I, Miyamoto J, Ohue-Kitano Ret al. Maternal gut microbiota in pregnancy influences offspring metabolic phenotype in mice. Science 2020;367:1002. 10.1126/science.aaw8429
- 73. Candido E. Sodium butyrate inhibits histone deacetylation in cultured cells. Cell 1978;14:105–13. 10.1016/0092-8674(78)90305-7
- 74. Mishra SP, Jain S, Wang Bet al. Abnormalities in microbiota/butyrate/FFAR3 signaling in aging gut impair brain function. JCI Insight 2024;9:e168443. 10.1172/jci.insight.168443
- 75. Aguilera-Correa J-J, Madrazo-Clemente P, Martínez-Cuesta MDCet al. Lyso-Gb3 modulates the gut microbiota and decreases butyrate production. Sci Rep 2019;9:12010. 10.1038/s41598-019-48426-4
- 76. Favero C, Pintor-Chocano A, Sanz Aet al. Butyrate promotes kidney resilience through a coordinated kidney protective response in tubular cells. Biochem Pharmacol 2024;224:116203. 10.1016/j.bcp.2024.116203
- 77. Fontecha‐Barriuso M, Martín‐Sánchez D, Martinez‐Moreno JMet al. PGC-1alpha deficiency causes spontaneous kidney inflammation and increases the severity of nephrotoxic AKI. J Pathol 2019;249:65–78. 10.1002/path.5282
- 78. Valino-Rivas L. Loss of NLRP6 increases the severity of kidney fibrosis. J Cell Physiol 2024;239:e31347.
- 79. Thurston RD, Larmonier CB, Majewski PMet al. Tumor necrosis factor and interferon-gamma down-regulate Klotho in mice with colitis. Gastroenterology 2010;138:1384–94, 1394.e1–2. 10.1053/j.gastro.2009.12.002
- 80. Liu F, Wu S, Ren Het al. Klotho suppresses RIG-I-mediated senescence-associated inflammation. Nat Cell Biol 2011;13:254–62. 10.1038/ncb2167
- 81. Lindberg K, Amin R, Moe OWet al. The kidney is the principal organ mediating klotho effects. J Am Soc Nephrol 2014;25:2169–75. 10.1681/ASN.2013111209
- 82. Nagai T, Yamada K, Kim H‐Cet al. Cognition impairment in the genetic model of aging klotho gene mutant mice: a role of oxidative stress. FASEB J 2003;17:50–2. 10.1096/fj.02-0448fje
- 83. Dubnov S, Bennett ER, Yayon Net al. Knockout of the longevity gene Klotho perturbs aging and Alzheimer's disease-linked brain microRNAs and tRNA fragments. Commun Biol 2024;7:720. 10.1038/s42003-024-06407-y
- 84. Kuriyama N, Ozaki E, Mizuno Tet al. Association between alpha-klotho and deep white matter lesions in the brain: a pilot case control study using brain MRI. J Alzheimers Dis 2018;61:145–55. 10.3233/JAD-170466
- 85. Shardell M, Semba RD, Rosano Cet al. Plasma klotho and cognitive decline in older adults: findings from the InCHIANTI study. J Gerontol A Biol Sci Med Sci 2016;71:677–82. 10.1093/gerona/glv140
- 86. Leon J, Moreno AJ, Garay BIet al. Peripheral elevation of a klotho fragment enhances brain function and resilience in young, aging, and alpha-synuclein transgenic mice. Cell Rep 2017;20:1360–71. 10.1016/j.celrep.2017.07.024
- 87. Castner SA, Gupta S, Wang Det al. Longevity factor klotho enhances cognition in aged nonhuman primates. Nat Aging 2023;3:931–7. 10.1038/s43587-023-00441-x
- 88. Leiter O, Brici D, Fletcher SJet al. Platelet-derived exerkine CXCL4/platelet factor 4 rejuvenates hippocampal neurogenesis and restores cognitive function in aged mice. Nat Commun 2023;14:4375. 10.1038/s41467-023-39873-9
- 89. Park C, Hahn O, Gupta Set al. Platelet factors are induced by longevity factor klotho and enhance cognition in young and aging mice. Nat Aging 2023;3:1067–78. 10.1038/s43587-023-00468-0
- 90. Schroer AB, Ventura PB, Sucharov Jet al. Platelet factors attenuate inflammation and rescue cognition in ageing. Nature 2023;620:1071–9. 10.1038/s41586-023-06436-3
- 91. Chen GY, Liu M, Wang Fet al. A functional role for Nlrp6 in intestinal inflammation and tumorigenesis. J Immunol 2011;186:7187–94. 10.4049/jimmunol.1100412
- 92. Butzner JD, Parmar R, Bell CJet al. Butyrate enema therapy stimulates mucosal repair in experimental colitis in the rat. Gut 1996;38:568–73. 10.1136/gut.38.4.568
- 93. Moreno JA, Izquierdo MC, Sanchez-Niño MDet al. The inflammatory cytokines TWEAK and TNFalpha reduce renal klotho expression through NFkappaB. J Am Soc Nephrol 2011;22:1315–25. 10.1681/ASN.2010101073
- 94. Perkovic V, Tuttle KR, Rossing Pet al. Effects of semaglutide on chronic kidney disease in patients with type 2 diabetes. N Engl J Med 2024;391:109–21. 10.1056/NEJMoa2403347
- 95. Fernández-Fernandez B, Sarafidis P, Soler MJet al. EMPA-KIDNEY: expanding the range of kidney protection by SGLT2 inhibitors. Clin Kidney J 2023;16:1187–98. 10.1093/ckj/sfad082
- 96. Mora-Fernández C, Sánchez-Niño MD, Donate-Correa Jet al. Sodium-glucose co-transporter-2 inhibitors increase Klotho in patients with diabetic kidney disease: a clinical and experimental study. Biomed Pharmacother 2022;154:113677. 10.1016/j.biopha.2022.113677
- 97. Hölscher C. Glucagon-like peptide-1 class drugs show clear protective effects in Parkinson's and Alzheimer's disease clinical trials: a revolution in the making? Neuropharmacology 2024;253:109952. 10.1016/j.neuropharm.2024.109952
- 98. Lin B, Koibuchi N, Hasegawa Yet al. Glycemic control with empagliflozin, a novel selective SGLT2 inhibitor, ameliorates cardiovascular injury and cognitive dysfunction in obese and type 2 diabetic mice. Cardiovasc Diabetol 2014;13:148. 10.1186/s12933-014-0148-1
- 99. Billing AM. Metabolic communication by SGLT2 inhibition. Circulation 2024;49:860–84.
- 100. Zeng Y, Wu Y, Zhang Qet al. Crosstalk between glucagon-like peptide 1 and gut microbiota in metabolic diseases. mBio 2024;15:e0203223. 10.1128/mbio.02032-23
- 101. Drueke TB, Massy ZA. Unexpected metabolic effects of sodium-glucose cotransporter 2 inhibitors. Kidney Int 2024;106:12–15. 10.1016/j.kint.2024.03.005
- 102. Dohnalová L, Lundgren P, Carty JREet al. A microbiome-dependent gut-brain pathway regulates motivation for exercise. Nature 2022;612:739–47. 10.1038/s41586-022-05525-z
- 103. Nation DA, Sweeney MD, Montagne Aet al. Blood-brain barrier breakdown is an early biomarker of human cognitive dysfunction. Nat Med 2019;25:270–6. 10.1038/s41591-018-0297-y
- 104. Sweeney MD, Sagare AP, Zlokovic BV. Blood-brain barrier breakdown in Alzheimer disease and other neurodegenerative disorders. Nat Rev Neurol 2018;14:133–50. 10.1038/nrneurol.2017.188
- 105. Kealy J, Greene C, Campbell M. Blood-brain barrier regulation in psychiatric disorders. Neurosci Lett 2020;726:133664. 10.1016/j.neulet.2018.06.033
- 106. Gupta A, Bansal A, Young Ket al. Blood-brain barrier permeability in ESKD-a proof-of-concept study. J Am Soc Nephrol 2023;34:1508–11. 10.1681/ASN.0000000000000167
- 107. Matsuki H. Chronic kidney disease causes blood-brain barrier breakdown via urea-activated matrix metalloproteinase-2 and insolubility of tau protein. Aging (Albany NY) 2023;15:10972–95.
- 108. Han JW, Maillard P, Harvey Det al. Association of vascular brain injury, neurodegeneration, amyloid, and cognitive trajectory. Neurology 2020;95:e2622–34. 10.1212/WNL.0000000000010531
- 109. Bir SC, Khan MW, Javalkar Vet al. Emerging concepts in vascular dementia: a review. J Stroke Cerebrovasc Dis 2021;30:105864. 10.1016/j.jstrokecerebrovasdis.2021.105864
- 110. Six I, Flissi N, Lenglet Get al. Uremic toxins and vascular dysfunction. Toxins (Basel) 2020;12:404. 10.3390/toxins12060404
- 111. Harlacher E, Wollenhaupt J, Baaten CCFMJet al. Impact of uremic toxins on endothelial dysfunction in chronic kidney disease: a systematic review. Int J Mol Sci 2022;23:531. 10.3390/ijms23010531
- 112. Voelkl J, Egli-Spichtig D, Alesutan Iet al. Inflammation: a putative link between phosphate metabolism and cardiovascular disease. Clin Sci (Lond) 2021;135:201–27. 10.1042/CS20190895
- 113. Ibos KE, Bodnár É, Dinh Het al. Chronic kidney disease may evoke anxiety by altering CRH expression in the amygdala and tryptophan metabolism in rats. Pflugers Arch 2024;476:179–96. 10.1007/s00424-023-02884-y
- 114. Karbowska M, Hermanowicz JM, Tankiewicz-Kwedlo Aet al. Neurobehavioral effects of uremic toxin-indoxyl sulfate in the rat model. Sci Rep 2020;10:9483. 10.1038/s41598-020-66421-y
- 115. Di Marzo V. New approaches and challenges to targeting the endocannabinoid system. Nat Rev Drug Discov 2018;17:623–39. 10.1038/nrd.2018.115
- 116. Guida F, Turco F, Iannotta Met al. Antibiotic-induced microbiota perturbation causes gut endocannabinoidome changes, hippocampal neuroglial reorganization and depression in mice. Brain Behav Immun 2018;67:230–45. 10.1016/j.bbi.2017.09.001
- 117. Manca C, Shen M, Boubertakh Bet al. Alterations of brain endocannabinoidome signaling in germ-free mice. Biochim Biophys Acta Mol Cell Biol Lipids 2020;1865:158786. 10.1016/j.bbalip.2020.158786
- 118. Cohen LJ, Kang H-S, Chu Jet al. Functional metagenomic discovery of bacterial effectors in the human microbiome and isolation of commendamide, a GPCR G2A/132 agonist. Proc Natl Acad Sci USA 2015;112:E4825–34. 10.1073/pnas.1508737112
- 119. Donvito G, Piscitelli F, Muldoon Pet al. N-Oleoyl-glycine reduces nicotine reward and withdrawal in mice. Neuropharmacology 2019;148:320–31. 10.1016/j.neuropharm.2018.03.020
- 120. Liabeuf S, Pepin M, Franssen CFMet al. Chronic kidney disease and neurological disorders: are uraemic toxins the missing piece of the puzzle? Nephrol Dial Transplant 2021;37:ii33–44. 10.1093/ndt/gfab223
- 121. Peris-Fernández M, Roca-Marugán M, Amengual JLet al. Uremic toxins and inflammation: metabolic pathways affected in non-dialysis-dependent stage 5 chronic kidney disease. Biomedicines 2024;12:607. 10.3390/biomedicines12030607
- 122. Adesso S, Magnus T, Cuzzocrea Set al. Indoxyl sulfate affects glial function increasing oxidative stress and neuroinflammation in chronic kidney disease: interaction between astrocytes and microglia. Front Pharmacol 2017;8:370. 10.3389/fphar.2017.00370
- 123. Evenepoel P, Meijers BKI, Bammens BRMet al. Uremic toxins originating from colonic microbial metabolism. Kidney Int Suppl 2009;76:S12–9. 10.1038/ki.2009.402
- 124. Park EJ. The uremic toxin homocysteine exacerbates the brain inflammation induced by renal ischemia-reperfusion in mice. Biomedicines 2022;10:3048.
- 125. Needham BD, Funabashi M, Adame MDet al. A gut-derived metabolite alters brain activity and anxiety behaviour in mice. Nature 2022;602:647–53. 10.1038/s41586-022-04396-8
- 126. Needham BD, Adame MD, Serena Get al. Plasma and fecal metabolite profiles in autism spectrum disorder. Biol Psychiatry 2021;89:451–62. 10.1016/j.biopsych.2020.09.025
- 127. Manfredini F, Mallamaci F, D'Arrigo Get al. Exercise in patients on dialysis: a multicenter, randomized clinical trial. J Am Soc Nephrol 2017;28:1259–68. 10.1681/ASN.2016030378
- 128. Mailing LJ, Allen JM, Buford TWet al. Exercise and the gut microbiome: a review of the evidence, potential mechanisms, and implications for human health. Exerc Sport Sci Rev 2019;47:75–85. 10.1249/JES.0000000000000183
- 129. Monda V, Villano I, Messina Aet al. Exercise modifies the gut microbiota with positive health effects. Oxid Med Cell Longev 2017;2017:3831972. 10.1155/2017/3831972
- 130. Naber T, Purohit S. Chronic kidney disease: role of diet for a reduction in the severity of the disease. Nutrients 2021;13:3277. 10.3390/nu13093277
- 131. Barnes LL, Dhana K, Liu Xet al. Trial of the MIND diet for prevention of cognitive decline in older persons. N Engl J Med 2023;389:602–11. 10.1056/NEJMoa2302368
- 132. Morris MC, Tangney CC, Wang Yet al. MIND diet slows cognitive decline with aging. Alzheimers Dement 2015;11:1015–22. 10.1016/j.jalz.2015.04.011
- 133. Ghosh TS, Rampelli S, Jeffery IBet al. Mediterranean diet intervention alters the gut microbiome in older people reducing frailty and improving health status: the NU-AGE 1-year dietary intervention across five European countries. Gut 2020;69:1218–28. 10.1136/gutjnl-2019-319654
- 134. Marseglia A, Xu W, Fratiglioni Let al. Effect of the NU-AGE diet on cognitive functioning in older adults: a randomized controlled trial. Front Physiol 2018;9:349. 10.3389/fphys.2018.00349
- 135. Camerotto C, Cupisti A, D'Alessandro Cet al. Dietary fiber and gut microbiota in renal diets. Nutrients 2019;11:2149. 10.3390/nu11092149
- 136. Su G, Qin X, Yang Cet al. Fiber intake and health in people with chronic kidney disease. Clin Kidney J 2022;15:213–25. 10.1093/ckj/sfab169
- 137. Bourdeau-Julien I, Castonguay-Paradis S, Rochefort Get al. The diet rapidly and differentially affects the gut microbiota and host lipid mediators in a healthy population. Microbiome 2023;11:26. 10.1186/s40168-023-01469-2
- 138. Ortiz A, Galán CDA, Carlos Fernández-García Jet al. Consensus document on the management of hyperkalemia. Nefrologia (Engl Ed) 2023;43:765–82. 10.1016/j.nefroe.2023.12.002
- 139. Fernandez-Prado R, Villalvazo P, Avello Aet al. Sodium zirconium cyclosilicate and metabolic acidosis: potential mechanisms and clinical consequences. Biomed Pharmacother 2023;158:114197. 10.1016/j.biopha.2022.114197
- 140. Hill C, Guarner F, Reid Get al. Expert consensus document. The International Scientific Association for Probiotics and Prebiotics consensus statement on the scope and appropriate use of the term probiotic. Nat Rev Gastroenterol Hepatol 2014;11:506–14. 10.1038/nrgastro.2014.66
- 141. Gibson GR, Hutkins R, Sanders MEet al. Expert consensus document: the International Scientific Association for Probiotics and Prebiotics (ISAPP) consensus statement on the definition and scope of prebiotics. Nat Rev Gastroenterol Hepatol 2017;14:491–502. 10.1038/nrgastro.2017.75
- 142. Liu N, Yang D, Sun Jet al. Probiotic supplements are effective in people with cognitive impairment: a meta-analysis of randomized controlled trials. Nutr Rev 2023;81:1091–104. 10.1093/nutrit/nuac113
- 143. Kou J, Kang H, Hu Let al. Evaluation of improvement of cognitive impairment in older adults with probiotic supplementation: a systematic review and meta-analysis. Geriatr Nurs 2023;54:155–62. 10.1016/j.gerinurse.2023.09.009
- 144. Ni Lochlainn M, Bowyer RCE, Moll JMet al. Effect of gut microbiome modulation on muscle function and cognition: the PROMOTe randomised controlled trial. Nat Commun 2024;15:1859. 10.1038/s41467-024-46116-y
- 145. Liu J, Zhong J, Yang Het al. Biotic supplements in patients with chronic kidney disease: meta-analysis of randomized controlled trials. J Ren Nutr 2022;32:10–21. 10.1053/j.jrn.2021.08.005
- 146. Tao S, Tao S, Cheng Yet al. Effects of probiotic supplements on the progression of chronic kidney disease: a meta-analysis. Nephrology (Carlton) 2019;24:1122–30. 10.1111/nep.13549
- 147. Jia L, Jia Q, Yang Jet al. Efficacy of probiotics supplementation on chronic kidney disease: a systematic review and meta-analysis. Kidney Blood Press Res 2018;43:1623–35. 10.1159/000494677
- 148. Pisano A, D'Arrigo G, Coppolino Get al. Biotic supplements for renal patients: a systematic review and meta-analysis. Nutrients 2018;10:1224. 10.3390/nu10091224
- 149. Takkavatakarn K, Wuttiputinun T, Phannajit Jet al. Protein-bound uremic toxin lowering strategies in chronic kidney disease: a systematic review and meta-analysis. J Nephrol 2021;34:1805–17. 10.1007/s40620-020-00955-2
- 150. Rossi M, Johnson DW, Morrison Met al. Synbiotics Easing Renal Failure by Improving Gut Microbiology (SYNERGY): a randomized trial. Clin J Am Soc Nephrol 2016;11:223–31. 10.2215/CJN.05240515
- 151. Liu S, Liu H, Chen Let al. Effect of probiotics on the intestinal microbiota of hemodialysis patients: a randomized trial. Eur J Nutr 2020;59:3755–66. 10.1007/s00394-020-02207-2
- 152. Li L, Xiong Q, Zhao Jet al. Inulin-type fructan intervention restricts the increase in gut microbiome-generated indole in patients with peritoneal dialysis: a randomized crossover study. Am J Clin Nutr 2020;111:1087–99. 10.1093/ajcn/nqz337
- 153. Mcfarlane C, Krishnasamy R, Stanton Tet al. Synbiotics Easing Renal Failure by Improving Gut Microbiology II (SYNERGY II): a feasibility randomized controlled trial. Nutrients 2021;13:4481. 10.3390/nu13124481
- 154. Ebrahim Z, Proost S, Tito RYet al. The effect of ß-glucan prebiotic on kidney function, uremic toxins and gut microbiome in stage 3 to 5 chronic kidney disease (CKD) predialysis participants: a randomized controlled trial. Nutrients 2022;14:805. 10.3390/nu14040805
- 155. Zhang Y, Wang Y, Zhou Zet al. Live and heat-inactivated Streptococcus thermophilus MN-ZLW-002 mediate the gut-brain axis, alleviating cognitive dysfunction in APP/PS1 mice. Nutrients 2024;16:844. 10.3390/nu16060844
- 156. Feng J, Chen Y, Liu Yet al. Efficacy and safety of fecal microbiota transplantation in the treatment of ulcerative colitis: a systematic review and meta-analysis. Sci Rep 2023;13:14494. 10.1038/s41598-023-41182-6
- 157. Porcari S, Baunwall SMD, Occhionero ASet al. Fecal microbiota transplantation for recurrent C. difficile infection in patients with inflammatory bowel disease: a systematic review and meta-analysis. J Autoimmun 2023;141:103036. 10.1016/j.jaut.2023.103036
- 158. Bian J, Liebert A, Bicknell Bet al. Faecal microbiota transplantation and chronic kidney disease. Nutrients 2022;14:2528. 10.3390/nu14122528
- 159. Zhong H-J, Xie X, Chen W-Jet al. Washed microbiota transplantation improves renal function in patients with renal dysfunction: a retrospective cohort study. J Transl Med 2023;21:740. 10.1186/s12967-023-04570-0
- 160. Bruggeman A, Vandendriessche C, Hamerlinck Het al. Safety and efficacy of faecal microbiota transplantation in patients with mild to moderate Parkinson's disease (GUT-PARFECT): a double-blind, placebo-controlled, randomised, phase 2 trial. EClinicalMedicine 2024;71:102563. 10.1016/j.eclinm.2024.102563
Associated Data
Data Availability Statement
No new data were generated or analysed in support of this research.