Literature DB >> 29863192

Changes of liver metabolites following hepatectomy with ischemia reperfusion towards liver regeneration.

Yu Saito1, Yuji Morine1, Shuichi Iwahashi1, Tetsuya Ikemoto1, Satoru Imura1, Hisami Yamanaka-Okumura2, Akiyoshi Hirayama3, Tomoyoshi Soga3, Masaru Tomita3, Mitsuo Shimada1.   

Abstract

BACKGROUND: Metabolome analysis is one of the omics which investigates the final product of a central dogma. Changes of liver metabolites during liver regeneration following hepatectomy (Hx) continue to remain unclear. The aim of the present study was to investigate the changes of liver metabolites following Hx with ischemia reperfusion (I/R) towards liver regeneration.
METHODS: Twenty-three patients who underwent Hx were enrolled in this study. Non-tumor tissues were sampled immediately before and after Hx and a comparison was made between the liver samples taken before and after Hx using capillary electrophoresis (CE)-time-of-flight mass spectrometry (TOFMS) as metabolome analysis.
RESULTS: The metabolic pathway showed that there was a significant increase in "lactate" following Hx. There was a significant decrease in metabolites only in the first half of the tricarboxylic acid cycle (TCA) cycle, and adenosine triphosphate (ATP) by anaerobiotic glycolysis did not occur in time for energy consumption of the Hx. Principal component analysis revealed remarkably different component profiles between the samples taken before and after Hx. One hundred and three metabolites were selected as critical metabolites for separating components. Valine and tryptophan increased significantly after Hx and they were regulated by resected liver volume, ischemic time and liver function.
CONCLUSION: The liver metabolites changed remarkably between before and after Hx. Especially, liver valine and tryptophan were increased.

Entities:  

Keywords:  ischemia reperfusion; liver regeneration; metabolome analysis; tryptophan; valine

Year:  2018        PMID: 29863192      PMCID: PMC5980257          DOI: 10.1002/ags3.12058

Source DB:  PubMed          Journal:  Ann Gastroenterol Surg        ISSN: 2475-0328


INTRODUCTION

Recently, focus has been on metabolome analysis as a method of post‐genomic analysis. Metabolome analysis is one of the omics, which investigates the final product of a central dogma. Metabolome analysis is defined as the comprehensive analysis of small molecules (typically <1.5 kDa) such as amino acids, organic acids, sugars, lipids, inorganic ions and so on.1 The number of human metabolites is estimated to range from 2500 to 8000.2, 3 Currently, three major analytical methods have been widely used in metabolome analysis including gas chromatography/mass spectrometry (GC/MS), liquid chromatography‐mass spectrometry (LC‐MS) and capillary electrophoresis‐mass spectrometry (CE‐MS), and each method is able to analyze a different class of metabolites.3, 4 It has been well established that the liver can regenerate after hepatectomy (Hx).5 The authors have previously reported that liver regeneration is a fundamental mechanism by which the liver responds to various injuries such as ischemia reperfusion (I/R) injury.6, 7, 8 Although the molecular and cellular mechanism of liver regeneration after Hx is well understood, postoperative liver failure after Hx is still one of the critical problems in clinical settings. There have been no reports about liver metabolites during liver regeneration using metabolome analysis. It was hypothesized that some key metabolites immediately after Hx could regulate or stimulate future liver regeneration. The aim of the present study was to investigate changes of liver metabolites following Hx with I/R towards liver regeneration using human Hx samples.

MATERIALS AND METHODS

Patients

Twenty‐three patients who underwent Hx between April 2014 and March 2015 were enrolled in this study. Inclusion criteria for this study were: (i) primary Hx; (ii) <15% of indocyanine green retention test (ICG R15); (iii) subsegmentectomy or more extended Hx; (iv) no biliary reconstruction and lymph node dissection; and (v) no preoperative chemotherapy. Backgrounds of the patients are shown in Table 1. The study was approved by the Tokushima University Hospital Ethics Committee and the corresponding regulatory agencies and all the experiments were carried out in accordance with the approved guidelines. Meanwhile, all the patients involved in the study signed the informed consent form and agreed to participate (To CMS ID; 1815).
Table 1

Backgrounds of 23 patients who underwent Hx between April 2014 and March 2015

Gender
Male/Female20/3
Age y (range)65 (36‐81)
Hepatitis virus
HBV/HCV/nBnC7/7/9
Primary disease
HCC/CCC/CRLM/Others)19/1/1/2
Operative procedures
HrS/Hr1/Hr27/4/12
Resected liver volume (%/total liver volume)
HrS/Hr1/Hr29 (6‐12)/23 (20‐28)/52 (44‐61)
Operative time min (range)314 (223‐452)
Ischemic time min (range)42 (25‐81)
Blood loss mL (range)175 (40‐644)

CCC, cholangiocellular carcinoma; CRLM, colorectal liver metastases; HBV, hepatitis B virus; HCV, hepatitis C virus; HCC, hepatocellular carcinoma; HrS, hepatic subsegmentectomy; Hr1, hepatic segmentectomy; Hr2, hepatic lobectomy; Hx, hepatectomy; nBnC, non B non C hepatitis.

Backgrounds of 23 patients who underwent Hx between April 2014 and March 2015 CCC, cholangiocellular carcinoma; CRLM, colorectal liver metastases; HBV, hepatitis B virus; HCV, hepatitis C virus; HCC, hepatocellular carcinoma; HrS, hepatic subsegmentectomy; Hr1, hepatic segmentectomy; Hr2, hepatic lobectomy; Hx, hepatectomy; nBnC, non B non C hepatitis.

Sample collection

Non‐tumor tissues were sampled immediately before and after Hx. The collected samples were quickly frozen at −80°C until sample preparation was completed.

Metabolome analysis

Frozen tissue (c.a. 40 mg) was added to methanol (500 μL) containing internal standards (20 μmol L−1 each of methionine sulfone and d‐camphor‐10‐sulfonic acid) and homogenized using a beads beater (TOMY Micro Smash MS‐100R; Tomy Digital Biology, Tokyo, Japan) at 3000 rpm for 60 seconds. Then, both chloroform (500 μL) and Milli‐Q water (200 μL) were added to the homogenate. The solution was thoroughly mixed, then centrifuged at 4600 g for 15 minutes at 4°C, and the aqueous fraction was centrifugally filtered through a 5‐kDa‐cut‐off ultra‐centrifugal filter unit (Ultrafree‐MC‐PLHCC‐HMT; Human Metabolome Technologies Inc., Tsuruoka, Japan) to remove proteins. The filtrate was dried using an evacuated centrifuge and dissolved in Milli‐Q water (50 μL) containing 200 μmol L−1 reference compounds (3‐aminopyrrolidine and trimesic acid) prior to CE‐MS analysis. CE‐MS‐based metabolomic profiling and data analysis were carried out essentially as described.9, 10, 11, 12, 13

Definitions of clinical parameters

Preoperative, postoperative and changes between pre‐ and postoperative valine and tryptophan were compared in terms of the following clinical parameters (resected liver volume, regeneration rate, ischemic time, FIB‐4 index, and sarcopenia). Resected liver volume: subsegmentectomy was grouped for the minor Hx group, and segmentectomy and lobectomy were grouped for the major Hx group. Regeneration rate: liver volumes before Hx and 1 week after Hx were measured using a 3D simulation imaging system. Regeneration rate was defined as the volume increase of the remnant liver as compared with the preoperative volume. Calculations were made using the following equation: regeneration rate = ([postoperative liver volume] − [preoperative liver volume]/[preoperative liver volume]) × 100 (%). The regeneration rate was divided into low and high regeneration groups by median value. Ischemic time: the cut‐off value of Pringle time was set at 30 minutes. FIB‐4 index: the cut‐off index value was set at 1.50. Sarcopenia: this was defined as both low grip strength and low muscular mass. Low grip strength was defined as <26 kg, male or <18 kg, female.14 Muscular mass was examined with InBody 770® (Kotoku, Tokyo, Japan). Low muscular mass was defined as <90% of the standard (ranges from 90% to 110% of the standard) obtained by the InBody 770®.15

Statistical analysis

All data are expressed as median (range). Statistical analysis was carried out using Prism 6.07 for Windows (GraphPad Software Inc., La Jolla, CA, USA). P‐values <.05 were considered to indicate statistically significant differences. Values between before and after Hx were compared using the Wilcoxon matched‐pairs signed‐rank test. Heat maps of metabolite levels were generated using hierarchical clustering based on Pearson correlation coefficients using the MultiExperiment Viewer (MeV) software (Institute for Genomic Research, Rockville, MD, USA). The data were exported and analyzed by principal components analysis (PCA) using SIMCA‐P software 12.0.1 (Umetrics AB, Umea, Sweden) to visualize the metabolic changes between preoperative and postoperative patients after mean centering and unit variance scaling.

RESULTS

Metabolic map

In the pentose phosphate pathway, there were no significant differences between before and after Hx (Figure 1A). The metabolic pathway showed that there was a significant increase in “lactate” after Hx. There was only a significant decrease in metabolites in the first half of the TCA cycle, and adenosine triphosphate (ATP) by anaerobiotic glycolysis did not occur in time for energy consumption of the Hx (Figure 1B). This suggested that lipid metabolism might be more dominant than glucose metabolism after Hx.
Figure 1

Metabolic map during liver regeneration. A, Pentose phosphate pathway; there were no significant differences between before and after hepatectomy (Hx). B, Glycolysis/tricarboxylic acid cycle (TCA) cycle; there was significant decrease only in metabolites in the first half of the TCA cycle, and ATP by anaerobiotic glycolysis did not occur in time for energy consumption of Hx. N.D., not detected

Metabolic map during liver regeneration. A, Pentose phosphate pathway; there were no significant differences between before and after hepatectomy (Hx). B, Glycolysis/tricarboxylic acid cycle (TCA) cycle; there was significant decrease only in metabolites in the first half of the TCA cycle, and ATP by anaerobiotic glycolysis did not occur in time for energy consumption of Hx. N.D., not detected

Principal components analysis

Principal components analysis showed remarkably different component profiles between before and after Hx (Figure 2A). Out of a total of 267 metabolites, 103 metabolites that had a variable importance for projection (VIP) score of more than 1.0 were selected as critical metabolites for separating components (Figure 2B). Table 2 shows all metabolites (VIP score >1.0) and Figure 2C shows hierarchical clustering of 103 metabolites. Valine (VIP score: 1.78957) and tryptophan (VIP score: 1.74943) were significantly up‐regulated after Hx.
Figure 2

A, Principal components analysis (PCA); PCA shows remarkably different components between before and after hepatectomy (Hx). B, Key 103 metabolites (VIP >1.0); 103 metabolites in a total of 267 metabolites that had a VIP score of more than 1.0 were selected as critical metabolites for separating components. C, Hierarchical clustering. VIP, variable importance for projection

Table 2

Metabolites for separating components (VIP >1.0)

MetabolitesVIP score MetabolitesVIP score
1Lactate1.9760453UTP1.4773
2CDP1.96398541‐Methyladenosine1.46181
3NADPH1.9467155 O‐Phosphoserine1.45222
4Tyr1.91601561‐Methylnicotinamide1.44062
5UDP‐glucose1.8634957Met1.4312
6Ala1.85245582‐Hydroxybutyrate1.41113
7ADP1.851959cis‐Aconitate1.39913
8GTP1.8256560g‐Glu‐Ile1.39354
9GDP1.8255361Cys1.38865
10CTP1.8218362 N‐Acetylglucosamine1.37152
11Leu1.819763Inosine1.36748
12Choline1.8149664Carnitine1.36734
13Succinate1.8069765Gluconate1.35793
14ATP1.80538662,3‐DPG1.34099
15beta‐Ala1.8007767Glutathione(ox)1.33471
16Urate1.79285682PG1.33419
17Val1.7895769g‐Glu‐Arg1.3306
18Homovanillate1.7868870Uridine1.29395
19gamma‐Glu‐cys1.7834871g‐Glu‐Ala1.29336
20Citrate1.78155725‐Hydroxylysine1.29306
21Ile1.7726573g‐Glu‐Gly‐Gly1.28145
22Pro1.76593742‐Hydroxyglutarate1.25326
23Phe1.7626275ADP‐glucose1.24392
24Xanthine1.7500376IMP1.2395
25Trp1.7494377F1,6P1.2363
26Gly1.7460478Creatinine1.21506
27Adenosine 3′,5′‐diphosphate1.733779CMP‐N‐acetylneuraminate1.21174
28Kynurenine1.7100280g‐Glu‐Trp1.20549
29UDP‐glucuronate1.6911681Sarcosine1.2001
30CMP1.6764382Fumarate1.19877
31Uracil1.66857834‐Methyl‐2‐oxopentanoate1.19797
32 o‐Acetylcarnitine1.6643784Ru5P1.17545
33Thiamine1.6616185Mucate1.16441
34Glycerophosphate1.659786 N‐Acetylhistidine1.16288
35 N‐Acetylglucosamine 6‐phosphate1.6327387g‐Glu‐Phe1.1496
36Isocitrate1.6249188g‐Glu‐Leu1.13668
37Glucose1.6217289g‐Glu‐Val1.13623
384‐Oxopentanoate1.6064990Gly‐Leu1.11075
39Hypoxanthine1.603991 N,N‐Dimethylglycine1.10164
40Nicotinamide1.5988992g‐Glu‐His1.09598
41Xanthosine1.5919893Cysteine‐glutathione disulfide ‐ divalent1.09562
42 N‐Acetylglucosamine 1‐phosphate1.5823894Ophthalmate1.08533
43Lys1.5561195 N‐Acetylmethionine1.0849
44GABA1.549196Pipecolate1.08293
45cAMP1.5459797Pantothenate1.07741
46threo‐beta‐methylaspartate + Glu1.5300998Putrescine (1,4‐butanediamine)1.06563
47CDP‐choline1.5293199g‐Glu‐Gln1.0381
48Cystathionine1.52375100 N‐epsilon‐acetyllysine1.03715
49 N1‐Acetylspermidine1.50057101Glu1.03233
50Glucosamine1.48626102 N8‐Acetylspermidine1.01626
513PG1.48145103UDP1.00423
52Asn1.48075

VIP, variable importance for projection.

A, Principal components analysis (PCA); PCA shows remarkably different components between before and after hepatectomy (Hx). B, Key 103 metabolites (VIP >1.0); 103 metabolites in a total of 267 metabolites that had a VIP score of more than 1.0 were selected as critical metabolites for separating components. C, Hierarchical clustering. VIP, variable importance for projection Metabolites for separating components (VIP >1.0) VIP, variable importance for projection.

Valine/tryptophan and clinical parameters

In the case of valine, much more resected volume and longer ischemic time affected its up‐regulation. Furthermore, preoperative valine significantly increased in the high FIB‐4 group whereas sarcopenia did not affect valine expression. Tryptophan was found to have similar tendencies to valine (Table 3).
Table 3

Valine/tryptophan and clinical parameters

GroupingValine P‐value
Resected LV
Post/PreHrS vs Hr1 or Hr21.9 (1.2‐2.3) vs 2.4 (1.4‐4.1) P < .01
Liver RRCut‐off; median
Post/PreLow vs High2.4 (1.2‐2.7) vs 2.2 (1.4‐4.1) P = .72
Ischemic timeCut‐off; 30 min
Post/PreShort vs Long1.5 (1.2‐2.3) vs 2.3 (1.4‐4.1) P = .08
FIB‐4 indexCut‐off; 1.50
PreLow vs High199 (142‐307) vs 258 (187‐458) P = .04
Post498 (374‐614) vs 568 (322‐927) P = .21
Post/Pre2.3 (1.9‐3.3) vs 2.3 (1.2‐4.1) P = .41
Sarcopenia
PreNon‐Sarco. vs Sarco.238 (142‐458) vs 277 (224‐291) P = .99
Post571 (374‐927) vs 558 (322‐617) P = .50
Post/Pre2.3 (1.2‐4.1) vs 1.9 (1.4‐2.2) P = .22

HrS, hepatic subsegmentectomy; Hr1, hepatic segmentectomy; Hr2, hepatic lobectomy; LV, liver volume; RR, regeneration rate; Sarco., sarcopenia.

Valine/tryptophan and clinical parameters HrS, hepatic subsegmentectomy; Hr1, hepatic segmentectomy; Hr2, hepatic lobectomy; LV, liver volume; RR, regeneration rate; Sarco., sarcopenia.

DISCUSSION

In the present metabolomics study: (i) the metabolic pathway showed that lipid metabolism might be more dominant than glucose metabolism after Hx; (ii) liver metabolites changed remarkably between before and after Hx; and (iii) liver valine and tryptophan were remarkably increased after Hx and they were regulated by resected liver volume, ischemic time and liver function. It has already been reported that remnant liver metabolism after Hx switches to a predominant utilization of fatty acid as an energy source from glucose.16, 17 Within 24 hours after Hx, the uptake of free fatty acids in the residual hepatocytes was increased in order to acquire energy, and hepatocytes accumulated triglyceride (TG).18, 19, 20 In the present study, glucose metabolism did not occur in time for energy consumption after Hx, and lipid metabolism might be dominant for producing ATP. These results were reasonable for previous reports. Regarding liver metabolism during liver regeneration, there was a report on amino acid and glucose metabolism in the rat fulminant hepatic failure (FHF) model.21 In that model, a new isolated perfused liver system in combination with a mass‐balance model to generate a metabolic map was introduced. However, the number of metabolites was limited, and it was not a comprehensive analysis. Conversely, metabolome analysis is concerned with the comprehensive analysis of endogenous low‐molecular‐weight compounds in biological samples. Valine, which is one of the branched‐chain amino acids (BCAA), has been reported to stimulate the proliferation of hepatocytes by a dose dependent method in vitro.22 Valine was also found to be most effective in vivo among three BCAA in the Hx model. Furthermore, valine was reported to increase serum free fatty acid, or liver triglyceride, and up‐regulated liver fatty acid became a source of ATP production.22 Valine, was also reported to have an antioxidative effect by down‐regulating tumor necrosis factor (TNF) and up‐regulating superoxide dismutase 2 (SOD2) towards human umbilical vein endothelial cells (HUVEC).23 In contrast, tryptophan was the major source of serotonin production, and platelets were major carriers of serotonin in the blood. In thrombocytopenic mice, a serotonin agonist reconstituted liver proliferation after Hx.24 Tryptophan might stimulate liver regeneration after Hx by serotonin. Furthermore, tryptophan regulated reactive oxygen species (ROS) by inducing nuclear factor (erythroid‐derived 2)‐like 2 (NF‐E2‐related factor 2 or Nrf2) in primary hepatocyte culture.25 In our hierarchical clustering, valine and tryptophan significantly increased after Hx, and they were regulated by resected liver volume, ischemic time and liver function. Although further investigations are necessary, these phenomena might reflect the remnant liver's protective response for I/R injury. It was already reported that the period immediately after Hx (0‐6 hours after Hx) was critical for future liver regeneration.5, 6 In the present study, liver tissues were sampled immediately after Hx, and we hypothesized that metabolites immediately after Hx would affect future liver regeneration. However, there was a limitation of this study regarding the time‐point after Hx, and several time‐points after Hx might be necessary. In conclusion, the present study identified the changes of liver metabolites in Hx with I/R towards liver regeneration. Liver metabolites changed remarkably between before and after Hx. In particular, liver valine and tryptophan were increased after Hx.

DISCLOSURE

Conflicts of Interest: Authors declare no conflicts of interest for this article. Ethical Approval: All procedures carried out in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed Consent: Informed consent was obtained from all individual participants included in the study.
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1.  Amino acid analysis by capillary electrophoresis electrospray ionization mass spectrometry.

Authors:  T Soga; D N Heiger
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Review 2.  [Liver regeneration after resection: molecular and cellular mechanism].

Authors:  Go Wakabayashi; Motohide Shimazu; Masakazu Ueda; Minoru Tanabe; Shigeyuki Kawachi; Masaki Kitajima
Journal:  Nihon Geka Gakkai Zasshi       Date:  2004-10

Review 3.  Metabolomics: current technologies and future trends.

Authors:  Katherine Hollywood; Daniel R Brison; Royston Goodacre
Journal:  Proteomics       Date:  2006-09       Impact factor: 3.984

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Journal:  Anal Chem       Date:  2009-08-01       Impact factor: 6.986

5.  Intrahepatic amino acid and glucose metabolism in a D-galactosamine-induced rat liver failure model.

Authors:  K Arai; K Lee; F Berthiaume; R G Tompkins; M L Yarmush
Journal:  Hepatology       Date:  2001-08       Impact factor: 17.425

6.  Platelet-derived serotonin mediates liver regeneration.

Authors:  Mickael Lesurtel; Rolf Graf; Boris Aleil; Diego J Walther; Yinghua Tian; Wolfram Jochum; Christian Gachet; Michael Bader; Pierre-Alain Clavien
Journal:  Science       Date:  2006-04-07       Impact factor: 47.728

7.  Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles.

Authors:  Masahiro Sugimoto; David T Wong; Akiyoshi Hirayama; Tomoyoshi Soga; Masaru Tomita
Journal:  Metabolomics       Date:  2009-09-10       Impact factor: 4.290

8.  Altered interactions between lipogenesis and fatty acid oxidation in regenerating rat liver.

Authors:  P S Schofield; M C Sugden; C G Corstorphine; V A Zammit
Journal:  Biochem J       Date:  1987-01-15       Impact factor: 3.857

9.  Tryptophan protects hepatocytes against reactive oxygen species-dependent cell death via multiple pathways including Nrf2-dependent gene induction.

Authors:  Takuya Kimura; Yoshifumi Watanabe
Journal:  Amino Acids       Date:  2016-01-21       Impact factor: 3.520

10.  The human urine metabolome.

Authors:  Souhaila Bouatra; Farid Aziat; Rupasri Mandal; An Chi Guo; Michael R Wilson; Craig Knox; Trent C Bjorndahl; Ramanarayan Krishnamurthy; Fozia Saleem; Philip Liu; Zerihun T Dame; Jenna Poelzer; Jessica Huynh; Faizath S Yallou; Nick Psychogios; Edison Dong; Ralf Bogumil; Cornelia Roehring; David S Wishart
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

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