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Wang Y, Yang L, Shang Y, Huang Y, Ju C, Zheng H, Zhao W, Liu J. Identifying Minimal Hepatic Encephalopathy: A New Perspective from Magnetic Resonance Imaging. J Magn Reson Imaging 2025; 61:11-24. [PMID: 38149764 DOI: 10.1002/jmri.29179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 11/23/2023] [Accepted: 11/27/2023] [Indexed: 12/28/2023] Open
Abstract
Type C hepatic encephalopathy (HE) is a condition characterized by brain dysfunction caused by liver insufficiency and/or portal-systemic blood shunting, which manifests as a broad spectrum of neurological or psychiatric abnormalities, ranging from minimal HE (MHE), detectable only by neuropsychological or neurophysiological assessment, to coma. Though MHE is the subclinical phase of HE, it is highly prevalent in cirrhotic patients and strongly associated with poor quality of life, high risk of overt HE, and mortality. It is, therefore, critical to identify MHE at the earliest and timely intervene, thereby minimizing the subsequent complications and costs. However, proper and sensitive diagnosis of MHE is hampered by its unnoticeable symptoms and the absence of standard diagnostic criteria. A variety of neuropsychological or neurophysiological tests have been performed to diagnose MHE. However, these tests are nonspecific and susceptible to multiple factors (eg, aging, education), thereby limiting their application in clinical practice. Thus, developing an objective, effective, and noninvasive method is imperative to help detect MHE. Magnetic resonance imaging (MRI), a noninvasive technique which can produce many objective biomarkers by different imaging sequences (eg, Magnetic resonance spectroscopy, DWI, rs-MRI, and arterial spin labeling), has recently shown the ability to screen MHE from NHE (non-HE) patients accurately. As advanced MRI techniques continue to emerge, more minor changes in the brain could be captured, providing new means for early diagnosis and quantitative assessment of MHE. In addition, the advancement of artificial intelligence in medical imaging also presents the potential to mine more effective diagnostic biomarkers and further improves the predictive efficiency of MHE. Taken together, advanced MRI techniques may provide a new perspective for us to identify MHE in the future. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Yisong Wang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Longtao Yang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Youlan Shang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yijie Huang
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chao Ju
- Department of Radiology, The Second Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Wei Zhao
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
- Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, China
- Clinical Research Center for Medical Imaging in Hunan Province, Changsha, China
- Department of Radiology Quality Control Center in Hunan Province, Changsha, China
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Giri S, Singh A, Angadi S, Kolhe K, Roy A. Prevalence of hepatic encephalopathy in patients with non-cirrhotic portal hypertension: A systematic review and meta-analysis. Indian J Gastroenterol 2023; 42:642-650. [PMID: 37589913 DOI: 10.1007/s12664-023-01412-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/02/2023] [Indexed: 08/18/2023]
Abstract
BACKGROUND Hepatic encephalopathy, (HE) although commonly associated with cirrhosis, has also been reported in non-cirrhotic portal hypertension (NCPH). The importance of identifying and treating HE in NCPH lies in the fact that many patients may be wrongly diagnosed as having psychiatric or neurologic disorders. Hence, we aimed to systematically review the prevalence of HE in NCPH. METHODS A comprehensive search of three databases (Medline, Embase and Scopus) was conducted from inception to November 2022 for studies reporting on the prevalence of minimal HE (MHE) and overt HE (OHE) in patients with NCPH. Results were presented as pooled proportions with their 95% confidence intervals (CI). RESULTS Total 25 studies (n = 1487) were included after screening 551 records. The pooled prevalence of MHE in NPCH was 32.9% (95% CI: 26.7-39.0) without any difference between adult (32.9%, 95% CI: 23.5-42.3) and pediatric patients (32.6%, 95% CI: 26.1-39.1) (p = 0.941). There was no significant difference in the prevalence between patients with NCPH and compensated cirrhosis with odds ratio of 1.06 (95% CI: 0.77-1.44). The pooled event rate for prior history of OHE in NCPH was 1.2% (95% CI: 0.3-2.1). CONCLUSION Around one-third of the patients with NCPH have MHE, irrespective of age group. OHE is extremely rare in NCPH and is usually associated with a precipitating factor.
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Affiliation(s)
- Suprabhat Giri
- Department of Gastroenterology, Nizam's Institute of Medical Sciences, Hyderabad, 500 082, India
| | - Ankita Singh
- Department of Gastroenterology, Seth G S Medical College and K E M Hospital, Mumbai, 400 012, India
| | - Sumaswi Angadi
- Department of Gastroenterology, Nizam's Institute of Medical Sciences, Hyderabad, 500 082, India
| | - Kailash Kolhe
- Department of Gastroenterology, Narayana Hospital, Nanded, 431 602, India
| | - Akash Roy
- Institute of Gastrosciences and Liver Transplantation, Apollo Multispecialty Hospital, Kolkata, 700 054, India.
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Huang G, Xie S, Wang M, Mao D, Huang G, Huang J, Liu X, Zhang R, Xie J, Huang LJ, Cheng C, Yao F, Zhong Y, Lin L, Yao C. Metabolite profiling analysis of hepatitis B virus-induced liver cirrhosis patients with minimal hepatic encephalopathy using gas chromatography-time-of-flight mass spectrometry and ultra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry. Biomed Chromatogr 2023; 37:e5529. [PMID: 36250932 DOI: 10.1002/bmc.5529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/09/2022] [Accepted: 10/11/2022] [Indexed: 12/15/2022]
Abstract
This study used gas chromatography-time-of-flight mass spectrometry (GC-TOFMS) and ultra-performance liquid chromatography-quadrupole TOFMS (UPLC-QTOFMS) metabonomic analytical techniques in combination with bioinformatics and pattern recognition analysis methods to analyze the serum metabolite profiling of hepatitis B virus (HBV)-induced liver cirrhosis patients with minimal hepatic encephalopathy (MHE), to find the specific biomarkers of MHE, to reveal the pathogenesis of MHE, and to determine a promising approach for early diagnosis of MHE. Serum samples of 100 normal controls (NC group), 29 HBV-induced liver cirrhosis patients with MHE (MHE group), and 24 HBV-induced liver cirrhosis patients without MHE [comprising 12 cases of compensated cirrhosis (CS group) and 12 cases of decompensated cirrhosis (DS group)] were collected and employed into GC-TOFMS and UPLC-QTOFMS platforms for serum metabolite detection; the outcome data were then analyzed using principal component analysis and orthogonal partial least squares-discriminant analysis (OPLS-DA). There were no significant differential metabolites between the NC group and the CS group. A series of key differential metabolites were detected. According to the variable influence in projection values and P-values, 60 small-molecule metabolites were considered to be dysregulated in the MHE group (compared to the NC group); 27 of these 60 dysregulated differential metabolites were considered to be the potential biomarkers (see Table 4, marked in bold); 66 small-molecule metabolites were considered to be dysregulated in the DS group (compared to the NC group); 34 of these 66 dysregulated differential metabolites were considered to be the potential biomarkers (see Table 5, marked in bold). According to the fold-change values, 9 of these 27 metabolites, namely valine, oxalic acid, erythro-sphingosine, 4,7,10,13,16,19-docosahexaenoic acid, isoleucine, allo-isoleucine, thyroxine, rac-octanoyl carnitine, and tocopherol (vitamin E), were downregulated in the MHE group (compared to the NC group); the other 18, namely adenine, glycochenodeoxycholic acid, fucose, allothreonine, glycohyocholic acid, glycoursodeoxycholic acid, tyrosine, taurocheno-deoxycholate, phenylalanine, 2-hydroxy-3-methyl-butanoic acid, hydroxyacetic acid, taurocholate, sorbitol, rhamnose, tauroursodeoxycholate, tolbutamide, pyroglutamic acid, and malic acid, were upregulated; 6 of these 34 metabolites were downregulated in the DS group (compared to the NC group), and the other 28 were upregulated, as shown in Table 5. (a) GC-TOFMS and UPLC-QTOFMS metabonomic analytical platforms can detect a range of metabolites in the serum; this might be of great help to study the pathogenesis of MHE and may provide a new approach for the early diagnosis of MHE. (b) Metabonomics analysis in combination with pattern recognition analysis might have great potential to distinguish the HBV-induced liver cirrhosis patients who have MHE from the normal healthy population and HBV-induced liver cirrhosis patients without MHE.
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Affiliation(s)
- Guochu Huang
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Sheng Xie
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Meng Wang
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Dewen Mao
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Guye Huang
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Jingjing Huang
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Xirong Liu
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Rongzhen Zhang
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Jiacheng Xie
- Guangxi University of Chinese Medicine, Nanning, China
| | | | - Chen Cheng
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Fan Yao
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Yu Zhong
- First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, China
| | - Long Lin
- Guangxi University of Chinese Medicine, Nanning, China
| | - Chun Yao
- Guangxi University of Chinese Medicine, Nanning, China
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De Bruyne R, De Bruyne P. Vascular Disorders of the Liver. TEXTBOOK OF PEDIATRIC GASTROENTEROLOGY, HEPATOLOGY AND NUTRITION 2022:931-951. [DOI: 10.1007/978-3-030-80068-0_70] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
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Faccioli J, Nardelli S, Gioia S, Riggio O, Ridola L. Neurological and psychiatric effects of hepatitis C virus infection. World J Gastroenterol 2021; 27:4846-4861. [PMID: 34447230 PMCID: PMC8371503 DOI: 10.3748/wjg.v27.i29.4846] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 05/07/2021] [Accepted: 06/04/2021] [Indexed: 02/06/2023] Open
Abstract
Hepatitis C virus (HCV) infection is widespread and affects 71 million people worldwide. Although hepatic manifestations are the most frequent, ranging from chronic hepatitis to cirrhosis and hepatocellular carcinoma, it is also associated with several extrahepatic manifestations. Infected patients may present non-specific neurological symptoms, regardless of the presence of liver cirrhosis. Several pathogenetic mechanisms underlying neurological symptoms have been hypothesized: neuroinvasion, immune-mediated damage, neurotransmitter alterations and cryoglobulinemia. Alterations of the central nervous system include cerebral vasculopathy, acute or subacute encephalopathy and inflammatory disorders. HCV infection may be responsible for neuropathies, of which the most frequent form is symmetrical axonal sensory or sensory-motor polyneuropathy which causes loss of leg sensitivity and weakness. Up to 50% of patients with HCV infection may experience cognitive decline and psychological disorders, such as depression and fatigue. HCV associated neurocognitive disorder is independent of the presence of liver cirrhosis and affects different domains than in patients with hepatic encephalopathy. It can be studied using specific tests that mainly explore executive functions, verbal learning and verbal recall. These disorders significantly reduce the quality of life. The new antiviral therapies improve the extrahepatic symptoms of HCV infection and their success depends on the achievement of sustained virological response. However, the effect of therapy may differ depending on the type of organ involved; neurological symptoms can be irreversible if there is organic liver damage. The aim of this review is to provide a critical overview of physiopathological mechanisms, diagnostic and therapeutic strategies of the neurological and psychiatric effects of HCV infection.
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Affiliation(s)
- Jessica Faccioli
- Department of Translational and Precision Medicine, “Sapienza” University of Rome, Rome 00185, Italy
| | - Silvia Nardelli
- Department of Translational and Precision Medicine, “Sapienza” University of Rome, Rome 00185, Italy
| | - Stefania Gioia
- Department of Translational and Precision Medicine, “Sapienza” University of Rome, Rome 00185, Italy
| | - Oliviero Riggio
- Department of Translational and Precision Medicine, “Sapienza” University of Rome, Rome 00185, Italy
| | - Lorenzo Ridola
- Department of Translational and Precision Medicine, “Sapienza” University of Rome, Rome 00185, Italy
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Zeng G, Penninkilampi R, Chaganti J, Montagnese S, Brew BJ, Danta M. Meta-analysis of magnetic resonance spectroscopy in the diagnosis of hepatic encephalopathy. Neurology 2020; 94:e1147-e1156. [DOI: 10.1212/wnl.0000000000008899] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 09/20/2019] [Indexed: 12/18/2022] Open
Abstract
ObjectiveVarious imaging modalities have been used to explore pathogenic mechanisms and stratify the severity of hepatic encephalopathy (HE). The hypothesis of this meta-analysis was that there is a progressive identifiable derangement of imaging measures using magnetic resonance spectroscopy (MRS) related to the severity of the HE.MethodsStudies with more than 10 cases and HE diagnosis were identified from the electronic databases PubMed, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Literatura Latino Americana em Ciências da Saúde (LILACS), and Cochrane Central Register of Controlled Trials (CENTRAL) through July 25, 2018. Participants were stratified into healthy controls and patients with non-HE (NHE) (cirrhosis without HE), minimal HE (MHE), and overt HE (OHE). Analyses were organized by metabolite studied and brain region examined. Statistical meta-analysis was performed using the metafor package in R (v3.4.1). Pooled standardized mean differences between patient groups were calculated using a random effects model.ResultsWe identified 31 studies (1,481 patients) that included data for cirrhosis-related HE. We found the parietal region to be the most reliable in differentiating between patients with and without MHE, with standard mean differences of +0.82 (95% confidence interval [CI] +0.49 to +1.15, p < 0.0001, I2 = 37.45%) for glutamine/glutamate, −0.36 (95% CI −0.61 to −0.10, p = 0.007, I2 = 20.00%) for choline, and−0.77 (95% CI −1.19 to −0.34, p = 0.0004, I2 = 67.48%) for myo-inositol. We also found that glutamine/glutamate was the metabolite that reliably correlated with HE grade in all brain regions.ConclusionsThe meta-analysis reveals that MRS changes in glutamine/glutamate, choline, and myo-inositol, particularly in the parietal lobe, correlate with the severity of HE. MRS may be of value in the assessment of HE.
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Flamm SL. Complications of Cirrhosis in Primary Care: Recognition and Management of Hepatic Encephalopathy. Am J Med Sci 2018; 356:296-303. [PMID: 30286824 DOI: 10.1016/j.amjms.2018.06.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Revised: 05/24/2018] [Accepted: 06/08/2018] [Indexed: 12/13/2022]
Abstract
Approximately 3.7% of patients in primary care settings have chronic liver disease, and 18% with chronic liver disease in the specialty care setting have cirrhosis. For cirrhotic patients without complications, prognosis is generally favorable; increased morbidity and mortality are observed when complications (i.e., hepatic encephalopathy [HE]) occur. HE occurs in up to 70% of patients with cirrhosis. Neurologic signs in HE span a wide spectrum, from those not easily apparent (covert) to more clinically obvious signs (overt). Providers should consider overt HE in patients with cirrhosis and signs of impaired cognition, confusion, consciousness and/or personality changes, and/or impaired memory. Overt HE treatment includes identifying and treating precipitating factors and reducing bacterial-derived toxin loads. For acute overt HE, lactulose is first-line treatment. To prevent HE recurrence, lactulose plus rifaximin is recommended. Patients with cirrhosis and HE often present in primary care; recognizing and properly managing HE are important in this setting.
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Affiliation(s)
- Steven L Flamm
- Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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Abstract
Hepatic encephalopathy describes the array of neurological alterations that occur during acute liver failure or chronic liver injury. While key players in the pathogenesis of hepatic encephalopathy, such as increases in brain ammonia, alterations in neurosteroid levels, and neuroinflammation, have been identified, there is still a paucity in our knowledge of the precise pathogenic mechanism. This review gives a brief overview of our understanding of the pathogenesis of hepatic encephalopathy and then summarizes the significant recent advances made in clinical and basic research contributing to our understanding, diagnosis, and possible treatment of hepatic encephalopathy. A literature search using the PubMed database was conducted in May 2017 using "hepatic encephalopathy" as a keyword, and selected manuscripts were limited to those research articles published since May 2014. While the authors acknowledge that many significant advances have been made in the understanding of hepatic encephalopathy prior to May 2014, we have limited the scope of this review to the previous three years only.
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Affiliation(s)
- Victoria Liere
- Department of Medical Physiology, College of Medicine, Texas A&M Health Science Center, Temple, TX, USA
| | | | - Sharon DeMorrow
- Department of Medical Physiology, College of Medicine, Texas A&M Health Science Center, Temple, TX, USA
- Central Texas Veterans Healthcare System, Temple, TX, USA
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