EDITORIAL

 

Liquid Diagnosis of Hepatic Encephalopathy: Are We There Already?

Diagnóstico líquido de encefalopatia hepática – já uma realidade?

 

Mariana Verdelho Machado

Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal

^* Corresponding author.

 

Keywords: Hepatic encephalopathy, S100β, NSE, Ammonia

Palavras-Chave: Encefalopatia hepática, S100β, NSE, Ammonia

 

Hepatic encephalopathy (HE) is a neurocognitive syndrome associated with liver disease and/or portosystemic shunts. Its diagnosis is clinical and requires exclusion of many other conditions that can present with similar neuropsychiatric abnormalities [1]. The broad differential diagnosis, and huge clinical overlap with many metabolic, neurologic and psychiatric disorders, is a challenge for clinicians that must decide in which patients further laboratorial, imaging and neurophysiological investigation is warranted.

As opposed to overt HE (OHE), minimal HE (MHE) curses with no clinical manifestations, and is diagnosed on the bases of abnormal results on psychometric and neurophysiologic tests [1]. Those tests are quite sensitive but are time-consuming, require training and may be affected by the patients’ age and education, explaining why MHE is the most under-diagnosed form of HE, even though it can afflict up to 80% of patients with chronic liver disease (CLD) [2]. The lack of recognition of MHE may have important implications, since MHE associates with impaired quality of life, decreased ability to perform daily tasks, and increased risk for work and traffic accidents. Furthermore, MHE predicts the development of OHE and increased mortality [3].

Hepatologists’ work would be easier if there were a simple serum biomarker that could identify accurately patients with HE, either OHE in the emergency room, or MHE in the outpatient clinic. It would also help, if that biomarker would correlate with severity of HE in order to objectively monitor response to therapy. Monitoring of therapy response would be most useful in the context of MHE, since, in the case of OHE, once diagnosis is established, clinical evaluation is more straightforward in assessing evolution of HE severity. A biomarker must be accurate, reliable, sensitive/specific, and provide high predictive value.

Ammonia is a serum biomarker that 60–95% of clinicians use in their practice to diagnose HE [4], although studies show, that in the context of CLD, ammonia determination does not seem to change the management of the patient, nor provides prognostic information [5]. Joint European and American guidelines state, however, that in a patient with OHE, a normal blood ammonia level should raise the suspicion of an alternative diagnosis [1]. Ammonia is an appealing candidate biomarker because of its role in the pathogenesis of HE. The first link between ammonia and HE was published in the work of Marcel Neucki and Ivan Pavlov in 1893, in portacavalshunted dogs with the so called “meat intoxication syndrome” [6]. More than 100 years after, ammonia is still placed in the centre of the pathogenesis of HE. Ammonia is mostly produced by the colonic microbiome from dietary proteins-derived nitrogen. Thereafter, 85% of ammonia is detoxified through the Krebs cycle in the liver and excreted in the urine as urea, whereas 15% is metabolized in the muscle and brain through the synthesis of glutamine from glutamate. CLD is prone to hyperammonemia, with colonic dysbiota increasing ammonia production and decreased ammonia detoxification as a result of hepatocellular dysfunction, portosystemic shunts and sarcopenia. Hyperammonemia can be toxic to the central nervous system, promoting the development of HE. In the brain, detoxification of ammonia occurs in astrocytes, through glutamine synthetase with conversion of glutamate to glutamine. Increased cellular glutamine has an osmotic effect, to which astrocytes respond realising osmolytes such as myoinositol and taurine to the extracellular space. This restores temporarily intracellular osmolarity, but increases susceptibility to subsequent cytotoxic cell edema. Neurons can uptake glutamine, being a precursor of excitatory glutamate and inhibitory γ-hydroxybutyric acid (GABA) neurotransmitters. In fact, hyperammonemia may induce cell death through excessive glutamate-induced N-methyl-D-aspartic acid (NMDA)-receptor activation, as well as an increased GABAergic tone, transiently responsive to flumazenil [7]. Ammonia also impairs brain metabolism and promotes oxidative/nitrosative stress, promoting oxidation of RNA and proteins, which may explain multiple disturbances of neurotransmitter systems in HE. Albeit its role in the pathogenesis, ammonia is a poor biomarker for HE, in the context of CLD. More than 80% of cirrhotic patients with HE present elevated serum ammonia levels [8], however that also occurs in 30–60% of cirrhotic patients without HE [9]. Furthermore, correlations between ammonia level and severity of HE are only weak and inconsistent, with wide variation of levels, important overlap between grades of HE, and with no clear cut-off to discriminate severe HE [8]. Many factors can hamper the acuity of ammonia for HE: technical aspects, individual susceptibility and environmental factors. Regarding technical aspects, the way blood is collected influences ammonia measurement, and it should be avoided fist clenching and tourniquet use. Furthermore, the sample should be immediately placed on ice and centrifuged within 15 min of collection, since if left at room temperature ammonia concentration can increase 20% within 1 h and up to 100% within 2 h. Ammonia levels are also influenced by the patient age, exercise and smoking. Many conditions can also increase ammonia such as urea cycle disorders, urinary tract infections from urease-producing microorganisms, parenteral nutrition and some drugs such as valproic acid. Neurotoxicity of ammonia is also modulated by several factors such as muscle mass, kidney function, osmolarity, inflammation-induced increased bloodbrain barrier permeability, and genetic polymorphisms in enzymes of ammonia metabolism such as glutaminase gene [10].

A group in Valencia studied the toxic oxidant 3-nitrotyrosine as biomarker, the rationale being the known ability of hyperammonemia to induce oxidative stress. In fact, 3-nitro-tyrosine has been implicated as a toxin involved in the pathogenesis of HE. Their pilot study did show promising results, with 3-nitro-tyrosine higher than 14 nM presenting almost 90% sensitivity, specificity, positive and negative predictive value for MHE [11]. Validation from other groups is needed.

Inflammation is another culprit in the pathogenesis of HE. In fact, circulating chemokines, cytokines, and ammonia itself can activate microglia, the resident macrophage- like cells of the brain, promoting neuroinflammation, further impairing brain function. Small studies measuring interleukin (IL)-18, and particularly IL-6 showed good correlations with the presence and severity of HE. IL-6 above 11 pg/mL seems a promising cut-off for MHE [12, 13].

Strebel et al. [14], in this issue of Portuguese Journal of Gastroenterology, studied 30 patients with liver cirrhosis, half with OHE and half with MHE, and evaluated two serum biomarkers, S100β and neuron-specific enolase (NSE). They could not find a correlation with the severity of HE [14]. Furthermore, S100β and NSE levels did not change after treatment with L-ornithine and L-aspartate (LOLA), a probably efficient (albeit not routinely used) treatment for HE [15].

S100β is a 10.4 kDa calcium-binding protein that has a role in cellular signal transduction and calcium homeostasis. In the brain, S100β is neurotrophic at the nanomolar level and neurotoxic at the micromolar level [16]. It was named S100 after being detected, in 1965, in high concentrations in brain factors from different mammals, and being soluble in 100% ammonium sulphate [17]. It is primarily synthesized in the brain by astrocytes, a target cell of hyperammonia neurotoxicity. S100β is not 100% brain-specific, since 10% is produced in other sources such as adipose tissue, skin and melanoma, as well as Tlymphocytes [16]. Normal serum levels of S100β are below 0.10 μg/L; it is metabolized and excreted by the kidney and its expression does not seem to be influenced by ethnicity, gender or circadian rhythm, though it does seem to correlate with body mass index (BMI). S100β serum levels increase in different neurologic disorders, that course with damage and activation of astrocytes. Indeed, S100β has been studied as a biomarker for different neuropsychiatric diseases such as trauma- and cardiac arrestinduced brain injury, ischemic stroke, sepsis-associated encephalopathy, epilepsy, schizophrenia, and Creutzfeldt- Jakob disease [18–21]. The most validated conditions are trauma-induced brain injury and ischemic stroke, from which we can learn precious information regarding the kinetics of S100β elevation. After traumatic brain injury, there may be a peak at 3–6 h that correlates with mortality with high sensitivity; as such the Scandinavian guidelines recommend hospital discharge without CT-scan when S100β is normal at 6 h [18]. A second peak of S100β discriminates those patients with increased intracranial pressure and may help guide therapy [22]. After ischemic stroke, the peak in S100β is a little later, and the best time point in predicting outcome is 48–72 h [19]. Some preliminary studies also studied the role of S100β as a biomarker in HE, particularly in the context of acute liver failure (ALF). In ALF, S100β increased up to 3 fold on admission and until 72 h; however, S100β levels did not correlate with the severity of HE, development of brain herniation or outcome [23–26]. Two small studies in CLD found normal S100β levels in patients without HE, and a 2-fold increase in patients with HE, suggesting that levels higher than 0.13 μg/L achieve 83% sensitivity and 64% specificity for HE. S100β did not correlate with HE severity, being unable to discriminate OHE from MHE [16, 27].

NSE is an enzyme (2-phospho-D-glycerate hydrolyase) of the anaerobic glycolytic pathway, specific for neurons and neuroendocrine cells. As such, it is a tumor marker for small cells lung cancer and neuroendocrine tumors. NSE is also used as a prognostic factor in brain damage after cardiac arrest, stroke, and trauma-induced brain injury [28, 29]. When measured in the 6 first hours post stroke, it has a strong positive correlation with infarct volume and negative with Glasgow coma scale. After cardiac arrest, NSE higher than 45 ng/mL at 48–72 h associates with worse neurological outcome, with a rate of false positive of only 5% [28]. NSE, as a biomarker of HE, has previously only been studied in the context of ACF, not in CLD. In pilot studies with ALF, NSE was not significantly increased, though there was a trend to higher levels in patients who developed central herniation compared to survivors [23, 26].

The study by Strebel et al. [14] comes out as a negative study; however, we must keep in mind some limitations of the study. First, it is a very small pilot study with less than 30 patients finishing the study. Second, it lacks two control groups: subjects without cirrhosis and patients with cirrhosis without HE. Third, there are some concerns regarding the accurate diagnosis of HE, since only 33% of the patients had increased ammonia level, either OHE or MHE, which is much lower than expected. As such, we cannot access how S100β and NSE perform as biomarkers for the diagnosis of HE. Having said that, two-third of patients presented increased levels of S100β (80% for patients with OHE), whereas only 1 out of 5 presented increased levels of NSE. The authors did not find a correlation between S100β/NSE and severity of HE; however, the West-Haven scale is subjective with high inter-observer and intra-observer variability, and psychometric tests are affected by patient’s age and education. The authors also did not find variations on S100β/ NSE after treatment with LOLA. Again, this result is difficult to interpret, since LOLA treatment did not associate with a decrease in ammonia, as it would be expected [15]. Lastly, biomarkers levels were not adjusted for confounding variables, such as BMI, and the precipitating factors for HE that were excluded were not thoroughly described. It could also be a matter of timing of collection after the beginning of HE.

The present study, integrated in the previous literature, suggests that the role of S100β in the diagnosis of HE might be worthwhile further investigation, although it does not seem to be a good biomarker for grading HE and monitor therapy. NSE seems a much less promising candidate biomarker for HE in CLD, although it might have a role in evaluating patients with ALF too sick for liver transplantation (Fig. 1).

 

 

References

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Conflict of Interest Statement

The author has no conflicts of interest to declare.

Funding Sources

The author did not receive funding for this manuscript preparation.

 

^* Corresponding author.

Mariana Verdelho Machado

Departmento de Medicina – Gastrenterologia e Hepatologia

Faculdade de Medicina, Universidade de Lisboa

Avenida Prof. Egas Moniz, PT–1649-028 Lisboa (Portulgal)

mverdelhomachado@gmail.com

 

Received: May 24, 2020; Accepted: June 18, 2020