Literature DB >> 34307908

Upregulated expression of hypoxia reactive genes in peripheral blood mononuclear cells from chronic liver disease patients.

Akifumi Kuwano1,2, Masatake Tanaka1, Hideo Suzuki1, Miho Kurokawa1, Koji Imoto1, Shigeki Tashiro1, Takeshi Goya1, Motoyuki Kohjima1, Masaki Kato1, Yoshihiro Ogawa1,3.   

Abstract

Liver fibrosis induces intrahepatic microcirculation disorder and hypoxic stress. Hypoxic stress has the potential for an increase in the possibility of more liver fibrosis and carcinogenesis. Liver biopsy is a standard method that evaluates of intrahepatic hypoxia, however, is invasive and has a risk of bleeding as a complication. Here, we investigated the hypoxia reactive gene expressions in peripheral blood mononuclear cells (PBMC) from chronic liver disease patients to evaluate intrahepatic hypoxia in a non-invasive manner. The subjects enrolled for this study were composed of 20 healthy volunteers (HV) and 48 patients with chronic liver disease (CLD). CLD patients contained 24 patients with chronic hepatitis(CH)and 24 patients with liver cirrhosis (LC). PBMC were isolated from heparinized peripheral blood samples. We measured the transcriptional expression of hypoxia reactive genes and inflammatory cytokines by quantitative RT-PCR. mRNA expression of adrenomedullin (AM), vascular endothelial growth factor A (VEGFA) superoxide dismutase (SOD), glutathione peroxidase (GPx) (p < 0.05), Interleukin-6 (IL-6), transforming growth factor-beta (TGF-β) and heme oxygenase-1 (HO-1) in CLD group were significantly higher than HV. AM mRNA expression is correlated with serum lactate dehydrogenase (LDH), serum albumin (Alb), IL6, and SOD mRNA expression. The hypoxia reactive gene expression in PBMCs from CLD patients was more upregulated than HV. Especially, angiogenic genes were notably upregulated and correlated with liver fibrosis. Here, we suggest that mRNA expression of AM in PBMCs could be the biomarker of intrahepatic hypoxia.
© 2021 The Authors.

Entities:  

Keywords:  AM, Adrenomedullin; ANGPTL4, Angiopoietin-like 4; Adrenomedullin; CH, chronic hepatitis; CLD, chronic liver disease; Chronic liver disease; GPx, glutathione peroxidase; HCC, hepatocellular carcinoma; HCV, hepatitis C virus; HIF, hypoxia inducible factor; HO-1, heme oxygenase -1; HV, healthy volunteers; IL-6, Interleukin-6; Intrahepatic hypoxia; LC, liver cirrhosis; LDH, lactate dehydrogenase; MCP-1, Monocyte chemoattractant protein-1; PBMC, Peripheral blood mononuclear cells; PT, prothrombin time; Peripheral blood mononuclear cells; ROS, reactive oxygen species; SOD, Superoxide dismutase; TGF-β, transforming growth factor-beta; TNF-α, Tumor Necrosis Factor-α; VEGF, vascular endothelial growth factor; VEGFA, vascular endothelial growth factor A; VEGFR2, vascular endothelial growth factor receptor 2

Year:  2021        PMID: 34307908      PMCID: PMC8283323          DOI: 10.1016/j.bbrep.2021.101068

Source DB:  PubMed          Journal:  Biochem Biophys Rep        ISSN: 2405-5808


Introduction

Without an appropriate regulation of persistent inflammation, chronic hepatitis progresses to liver cirrhosis that is featured with advanced fibrosis and nodular regeneration. Such histological dysregulation induces the microcirculatory disturbance, leading to parenchymal hypoxia in cirrhotic liver [1,2]. It is well known that a group of genes, such as hypoxia inducible factor (HIF), is activated to adapt to the hypoxic circumstance via the alteration of cellular metabolism and the promotion of angiogenesis [3,4]. HIF activation through hypoxia-dependent and hypoxia-independent signals have been reported in liver disease of diverse etiologies, from acute liver injury to chronic liver diseases [3]. HIF plays an important role in the protection against hypoxia, however, hepatic stellate cells can be also activated in hypoxic conditions by the HIF-dependent mechanism [5] and hypoxia occurs in the development and progression of liver diseases [4]. Thus, intrahepatic hypoxia in chronic liver disease (CLD) may work as a stimulator for further fibrogenesis. Also, hypoxia may be involved in hepatic carcinogenesis. Not only the viral factors, such as oxidative stress by hepatitis C virus (HCV) core protein or chromosomal integration of hepatitis B virus X protein but also hepatocyte damage and persistent regeneration of liver cells are thought to promote DNA instability [[6], [7], [8]]. Moreover, oxygen insufficiency in mitochondrial respiration over-produces reactive oxygen species (ROS) [9], which is known to damage cellular DNA [10]. Hypoxia in cirrhotic liver may potentiate hepatocyte regeneration and DNA damage, which promote the process of hepatic carcinogenesis. Evaluation of intrahepatic hypoxia may be helpful to predict the potential of fibrogenesis and carcinogenesis in the liver with CLD, and liver biopsy is a standard method that evaluates intrahepatic hypoxia. However, liver biopsy has a risk of bleeding as a complication [11] in CLD patients who are hemorrhagic because of prolonged prothrombin time (PT) and decreased platelet count in association with disease progression, and non-invasive methods to evaluate the levels of intrahepatic hypoxia in CLD patients are required. Peripheral blood mononuclear cells (PBMC) consist of immune cells, such as monocytes and lymphocytes, and change their character in response to local or systemic circumstances [12,13]. It has been reported that the gene expression profile of PBMC is associated with the disease activity or treatment response in several diseases including diabetes mellitus, rheumatoid arthritis, and viral hepatitis [[14], [15], [16]]. Hypoxia can affect the production of cytokines in human PBMC [17]. Previous studies have demonstrated that hypoxia induces T helper 17 cell upregulation and IL-I7 expression in PBMC from severe cerebral infarction [18]. It has been also reported that the hypoxic synovial environment regulates expression of vascular endothelial growth factorVEGF)in paired synovial fluid monocytic cells compared to matched PBMC from juvenile idiopathic arthritis patients. PBMC has been reported as a useful method that evaluates tissue hypoxia in some organs other than the liver. These features of PBMC prompted us to evaluate the mRNA expression levels of hypoxia reactive genes in PBMC isolated from the patients with CLD patients. No previous studies have been reported that the expression profiles of hypoxia reactive genes in PBMC isolated from patients with liver disease. In this study, we evaluated the expression levels of genes involved in angiogenesis, protection against oxidative stress, and inflammatory cytokines of PBMC, and estimated the correlations between those and the levels of hepatic fibrosis.

Materials and methods

Patients and samples

48 patients with chronic liver disease (CLD) and 20 healthy volunteers (HV) were enrolled for this study. Written consent was obtained from all of the patients and we excluded chronic heart failure, chronic renal failure, and chronic respiratory failure. 24 patients were chronic hepatitis (CH) and 24 patients were liver cirrhosis (LC). Chronic hepatitis was defined as abnormal serum ALT levels (>35 IU/l) for more than 6 months. Liver cirrhosis was diagnosed with ultrasound, Computed Tomography, or Magnetic Resonance Imaging. 13 patients in LC group have hepatocellular carcinoma (HCC). Characteristics of the enrolled subjects, including age, gender, lactate dehydrogenase (LDH), platelet count, and FIB4 index were documented (Table 1). FIB4 index is well known to be useful for evaluating hepatic fibrosis. FIB4 index was assessed as: age (yr) × AST (IU/L)/(platelet count (109/L) × √ALT (IU/L)). This study was approved by Kyushu University Hospital Ethics Committee.
Table 1

Clinical characteristics of the patients.

HVCLDp valueCHLCp value
Number20482424
Age(years)35 (33.25–48.25)63 (56–71)p<0.000162 (55.75–67.25)68 (59.5–76.5)p = 0.059
Gender(M/F)13/728/2010/1418/6
Etiology (HCV/HBV/NASH/others)25/11/5/77/8/4/418/3/1/3
With HCC013013
T.Bil(mg/dl)0.9 (0.8–1.1)0.7 (0.5–1.0)p = 0.2470.6 (0.4–1.0)0.7 (0.5–1.25)p = 0.099
ALT(IU/l)19 (11.5–40)23 (14.25–48)p = 0.20023 (12.75–30)43 (17–48.5)p = 0.476
LDH(IU/l)191 (118–219)205 (178.75–236.5)p = 0.059187.5 (127.5–215)218 (186.5–247.5)p = 0.044
T.chol(mg/dl)192 (150–214)168 (149–194)p = 0.227181 (157–212)159 (125.5–177.5)p = 0.028
Albumin(g/dl)4.7 (4.4–4.8)4.05 (3.33–4.28)p = 0.0014.15 (3.88–4.35)3.7 (3.2–4.05)p = 0.005
Platelet count(X104/μl)22.95 (21.93–26.23)12.4 (9.68–17.15)p = 0.00317.1 (14.58–21.83)10.5 (7.05–12.3)p<0.0001
FIB4 index1.27 (0.72–1.88)4.09 (2.02–6.46)p = 0.0071.99 (1.49–3.12)5.53 (4.77–7.57)p<0.0001
Clinical characteristics of the patients.

PBMC

PBMC were isolated from heparinized peripheral blood samples (7 ml) obtained from CLD patients and HV by Ficoll-Paque density gradient centrifugation and lymphocyte separation solution (Nacalai tesque, Kyoto, Japan).

RT-PCR

Total RNA was extracted from cells using the Qiagen RNeasy Plus mini kit (Qiagen, Hilden, Germany) according to the manufacturers' instructions. mRNA was reverse transcribed into cDNA using the Prime Script TM Reverse Transcriptase (Takara Bio Inc., Shiga, Japan). Real time PCR was performed using light Cycled-fast start DNA master SYBR green 1 (Roche, Basel, Switzerland) according to the manufacturers' instruction. The PCR reaction was carried out with a denaturation step at 95 °C for 30 s, then 40 cycles at 95 °C for 5 s, and finally at 60 °C for 34 s. To control for variations in the reactions, all data were normalized to GAPDH expression. Relative expression was presented using the 2-ΔΔCq method. The results of CLD patients are expressed as the fold change relative to the HV levels. The primer sequences were listed in Table 2.
Table 2

Primer sequences.

GenePrimer sequences(5'~3′)
GAPDHF:ATCACCATCTTCCAGGAGCGA
R:TTCTCCATGGTGGTGAAGACG
AMF:AGTCGTGGGAAGAGGGAACT
R:CCCTGGAAGTTGTTCATGCT
VEGFAF:CCTTGCTGCTCTACCTCCAC
R:CACACAGGATGGCTTGAAGA
ANGPTL4F:CACCATGAGCGGTGCTCCGACGGC
R:GGAGGCTGCCTCTGCTGCCA
Tie2F:TACTAATGAAGAAATGACCCTGG
R:GGAGTGTGTAATGTTGGAAATCT
HIF-1αF:ACCATGCCCCAGATTCAGGA
R:ATCAGTGGTGGCAGTGGTAGTGGT
HO-1F:ATG ACA CCA AGG ACC AGA GC
R:GTG TAA GGA CCC ATC GGA GA
VEGFR2F:GTGACCAACATGGAGTCGTG
R:TGCTTCACAGAAGACCATGC
SODF:AGGGCATCATCAATTTCGAG
R:ACATTGCCCAAGTCTCCAAC
CatalaseF:CTGGAGAAGTGCGGAGATTC
R:AGTCAGGGTGGACCTCAGTG
GPxF:GTAGTGCTGGACAGTGACAACC
R:ATATTTGGAGGCAGTGGGAGATG
IL-6F:GACAGCCACTCACCTCTTCA
R:TTCACCAGGCAAGTCCCTC
TGF-βF:TGAACCGCCTTTCCTGCTTCTCATG
R:GCGGAAGTCAATGTACAGCTGCCGC
TNF-αF:CCCAGGCAGTCAGATCATCTT
R:TCTCAGCTCCACGCCATT
MCP-1F:GACAAGCAAACCCAAACTCC
R:GCAATTTCCCCAAGTCTCTG

AM, Adrenomedullin; VEGFA, Vascular endothelial growth factor A; ANGPTL4, Angiopoietin-like 4; HIF-1α, Hypoxia inducible factor 1α; HO-1, Heme oxygenase -1; VEGFR2, vascular endothelial growth factor receptor 2; SOD, Superoxide dismutase; GPx, glutathione peroxidase; IL-6, Interleukin-6; TGF-β, transforming growth factor beta; TNF-α, Tumor Necrosis Factor-α; MCP-1, Monocyte chemoattractant protein-1.

Primer sequences. AM, Adrenomedullin; VEGFA, Vascular endothelial growth factor A; ANGPTL4, Angiopoietin-like 4; HIF-1α, Hypoxia inducible factor 1α; HO-1, Heme oxygenase -1; VEGFR2, vascular endothelial growth factor receptor 2; SOD, Superoxide dismutase; GPx, glutathione peroxidase; IL-6, Interleukin-6; TGF-β, transforming growth factor beta; TNF-α, Tumor Necrosis Factor-α; MCP-1, Monocyte chemoattractant protein-1.

Statistical analyses

Data were analyzed using the JMP Pro Version11 statistical software (SAS Institute, Inc. Cary, NC). The results were expressed as Median and inter-Quartile range in subjects characteristics and were expressed as the means of the standard deviation (SD) in the expression levels of genes. Correlations between the groups were calculated by the Pearsonʼs correlation coefficient. Significant differences between groups were assessed using the Mann-Whitney U test. A p-value < 0.05 was taken to indicate statistical significance. We have compared all other genes between the LC and CH groups. We have described only genes with differences.

Result

Subjects characteristics

We studied 20 healthy volunteers (HV) and 48 patients with chronic liver disease (CLD). CLD patients are composed of 24 patients with chronic hepatitis(CH)and 24 patients with liver cirrhosis (LC). 48 CLD patients included 25 HCV patients, 11 HBV patients, 5 NASH patients, and 7 other patients. 13 patients in LC group have hepatocellular carcinoma (HCC). CLD patients were significantly older than HV (p < 0.01). In CLD group, LC patients were older than CH patients (p < 0.05). Serum Albumin and platelet counts were significantly lower and FIB4 index was markedly higher in CLD group compared to HV group (p < 0.01). FIB4 index (p < 0.01) and serum LDH (p < 0.05) in LC group were significantly higher than CH group. Platelet counts (p < 0.05), serum albumin (p < 0.01), and serum total cholesterol (T. chol) (p < 0.05) in LC group were decreased than CH group (Table 1).

Up-regulation of angiogenetic genes in CLD patients

Hypoxia induces angiogenic factors that induce activation and proliferation of endothelial cells. We examined mRNA expression of the angiogenic factors adrenomedullin (AM), vascular endothelial growth factor A (VEGFA), angiopoietin-like 4 (ANGPTL4), Tie 2, hypoxia inducible factor-1 alpha (HIF-1α), heme oxygenase -1 (HO-1), and vascular endothelial growth factor receptor 2 (VEGFR2) in PBMC. AM and VEGFA, ANGPTL4, Tie2 and HO-1 mRNA expression in CLD group were higher than HV group (p < 0.01) (Fig. 1A). Especially, AM mRNA expression in LC group was upregulated compared with CH group (p < 0.01) (Fig. 1B). VEGFA gene in CH group was elevated than HV group (p < 0.05), but was coordinate with LC group (Fig. 1C). The expression of AM and VEGFA was not affected by the presence of HCC (data was not shown).
Fig. 1

mRNA expression levels of AM, VEGFA, ANGPTL4, Tie2, HIF-1α、HO-1 and VEGFR2 genes in CLD and HV (A). RT-PCR analyses of the expression levels of AM gene in HV, CH and LC (B). RT-PCR analyses of the expression levels of VEGFA gene in HV, CH and LC (C). *p < 0.05 compared with HV, **p < 0.01 compared with HV, ♯ p < 0.05 compared with CH and ♯♯ p < 0.01 compared with CH.

HV, healthy volunteers; CH, chronic hepatitis; LC, liver cirrhosis; AM, Adrenomedullin; VEGFA, Vascular endothelial growth factor A; ANGPTL4, Angiopoietin-like 4; HIF-1α, Hypoxia inducible factor 1α; HO-1, Heme oxygenase -1; VEGFR2, vascular endothelial growth factor receptor 2.

mRNA expression levels of AM, VEGFA, ANGPTL4, Tie2, HIF-1α、HO-1 and VEGFR2 genes in CLD and HV (A). RT-PCR analyses of the expression levels of AM gene in HV, CH and LC (B). RT-PCR analyses of the expression levels of VEGFA gene in HV, CH and LC (C). *p < 0.05 compared with HV, **p < 0.01 compared with HV, ♯ p < 0.05 compared with CH and ♯♯ p < 0.01 compared with CH. HV, healthy volunteers; CH, chronic hepatitis; LC, liver cirrhosis; AM, Adrenomedullin; VEGFA, Vascular endothelial growth factor A; ANGPTL4, Angiopoietin-like 4; HIF-1α, Hypoxia inducible factor 1α; HO-1, Heme oxygenase -1; VEGFR2, vascular endothelial growth factor receptor 2.

Up-regulation of oxidative stress genes in CLD patients

Oxidative stress caused by hypoxia induces endothelial cell injury and mitochondrial dysfunction, which exacerbates tissue hypoxia. On the other hand, an organism has an antioxidant system, and superoxide dismutase (SOD), catalase, and glutathione peroxidase (GPx) were known to be antioxidant enzymes. SOD and GPx mRNA expressions in CLD group were higher than HV group (p < 0.05). Catalase transcription in CLD group was elevated compared with HV group, though the difference did not reach statistical significance (Fig. 2A). SOD mRNA expression in LC group was upregulated compared with CH group (p < 0.05) (Fig. 2B). The expression of SOD was not significantly different with or without HCC (data was not shown).
Fig. 2

mRNA expression levels of SOD, Catalase and GPx genes in CLD and HV (A). RT-PCR analyses of the expression levels of SOD gene in HV, CH and LC (B). *p < 0.05 compared with HV, **p < 0.01 compared with HV, ♯ p < 0.05 compared with CH and ♯♯ p < 0.01 compared with CH·

HV, healthy volunteers; CH, chronic hepatitis; LC, liver cirrhosis; SOD, Superoxide dismutase; GPx, glutathione peroxidase.

mRNA expression levels of SOD, Catalase and GPx genes in CLD and HV (A). RT-PCR analyses of the expression levels of SOD gene in HV, CH and LC (B). *p < 0.05 compared with HV, **p < 0.01 compared with HV, ♯ p < 0.05 compared with CH and ♯♯ p < 0.01 compared with CH· HV, healthy volunteers; CH, chronic hepatitis; LC, liver cirrhosis; SOD, Superoxide dismutase; GPx, glutathione peroxidase.

Up-regulation of inflammatory cytokines in CLD patients

Inflammation causes liver sinusoidal endothelial cell (LSEC) damage by macrophage and neutrophils and disrupts microcirculation related to intrahepatic hypoxia. In hypoxic conditions, inflammatory, proinflammatory cytokines and chemokine including interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), monocyte chemoattractant protein-1 (MCP-1) are elevated in the tissues. It is also known that transforming growth factor-beta (TGF-β) promotes the production of extracellular matrix in the mechanism of fibrosis caused by hypoxia. IL-6 and TGF-β mRNA expressions in CLD group were significantly higher than HV group (p < 0.05) (Fig. 3A). Furthermore, IL-6 mRNA expression in LC group was upregulated compared with CH group (p < 0.05) (Fig. 3B). TNF-α, and MCP-1 transcriptions in CLD group were not significantly elevated compared with HV group (Fig. 3A). The coexistence of HCC did not have any impact on the expression of the genes (data was not shown).
Fig. 3

mRNA expression levels of IL-6, TNF-β, TNFα and MCP-1 genes in CLD and HV(A). RT-PCR analyses of the expression levels of IL-6 gene in HV, CH and LC (B). *p < 0.05 compared with HV, **p < 0.01 compared with HV, ♯ p < 0.05 compared with CH and ♯♯ p < 0.01 compared with CH·

HV, healthy volunteers; CH, chronic hepatitis; LC, liver cirrhosis; IL-6, Interleukin-6; TGF-β, transforming growth factor beta; TNF-α, Tumor Necrosis Factor-α; MCP-1, Monocyte chemoattractant protein-1.

mRNA expression levels of IL-6, TNF-β, TNFα and MCP-1 genes in CLD and HV(A). RT-PCR analyses of the expression levels of IL-6 gene in HV, CH and LC (B). *p < 0.05 compared with HV, **p < 0.01 compared with HV, ♯ p < 0.05 compared with CH and ♯♯ p < 0.01 compared with CH· HV, healthy volunteers; CH, chronic hepatitis; LC, liver cirrhosis; IL-6, Interleukin-6; TGF-β, transforming growth factor beta; TNF-α, Tumor Necrosis Factor-α; MCP-1, Monocyte chemoattractant protein-1.

Adrenomedullin was correlated with serum LDH, serum Alb, IL-6 expression, and SOD expression

We analyzed the relations between hypoxic reactive gene mRNA expressions and the serum parameters. Lactate dehydrogenase (LDH) is involved in anaerobic glycolysis that catalyzes pyruvate to lactate and is also known to be activated in tissue hypoxia. Albumin is primarily synthesized by hepatocytes and is a sensitive marker of liver function, and lower albumin is a predictor of impaired liver synthesis and progressed hepatic fibrosis. We examined a relation between AM expression in PBMC and the serum paramaters. AM was positively correlated with serum LDH (r = 0.46 p < 0.01), IL-6 mRNA expression (r = 0.36 p < 0.01) and SOD mRNA expression (r = 0.6 p < 0.01), and inversely related with serum Alb (r = 0.48 p < 0.01) (Fig. 4).
Fig. 4

Correlations between AM mRNA expression and other parameters; serum LDH (A), serum Alb (B), IL-6 mRNA expression (C) and SOD mRNA expression (D).AM, Adrenomedullin; LDH, lactate dehydrogenase; Alb, Albumin; IL-6, Interleukin-6; SOD, Superoxide dismutase.

Correlations between AM mRNA expression and other parameters; serum LDH (A), serum Alb (B), IL-6 mRNA expression (C) and SOD mRNA expression (D).AM, Adrenomedullin; LDH, lactate dehydrogenase; Alb, Albumin; IL-6, Interleukin-6; SOD, Superoxide dismutase.

Discussion

PBMCs are blood cells with a round-shaped nucleus, such as monocytes and lymphocytes, with the lymphocyte population comprised of T cells, B cells, and NK cells. These cells are a critical component of the immune system, playing an integral role in the body's defenses [11,20]. A previous study reported that the activation state of PBMC was correlated with histological liver damage [16]. Recently, it is widely accepted that hypoxia affects the immune system in PBMCs from severe cerebral infarction [18]. It has been reported that the hypoxic synovial environment regulates the expression of VEGF in paired synovial fluid monocytic cells compared to matched PBMC from juvenile idiopathic arthritis patients [19]. These observations suggest that analysis of mRNA expression in PBMC could be a novel approach to evaluate intrahepatic hypoxia. The expression profiles of hypoxia reactive genes in PBMC isolated from patients with liver disease have not been reported. Hypoxic environment plays a role in various liver diseases and has an enormous influence on the progression of the disease [[21], [22], [23], [24], [25], [26]], and hypoxia exerts a huge influence on the inflammatory gene, angiogenetic, and oxidative stress gene [[27], [28], [29]]. Thus, we examined the hypoxia reactive genes mRNA expression in PBMC from liver disease patients. Angiogenetic and inflammatory genes were upregulated in CLD group compared with HV group in our study. Hypoxia is a major inducer of angiogenesis together with inflammation. Regardless of etiology, hepatic angiogenesis takes place in chronic liver disease that is characterized by inflammation and progressive fibrosis [30]. Angiogenesis is known to be involved during chronic liver injury. Progressive tissue hypoxia stimulates angiogenesis in many liver diseases. This pathway leads to more inflammation and fibrosis [31]. We analyzed the mRNA expressions of all hypoxia reactive genes between the LC and CH groups. Especially, AM mRNA expression in LC patients was upregulated and the expression in CLD patients was correlated with IL-6 expression. AM is the potent hypotensive peptide discovered in the human pheochromocytoma. It has been reported that hypoxia induces the production of endogenous vasoactive peptides in macrophages of cirrhotic patients [32]. AM is constitutively secreted by vascular endothelial cells and smooth muscle cells and is considered to cause potent vasodilation via the synthesis of NO in the vascular endothelial cells [33,34]. Several clinical studies have demonstrated that the circulating AM levels are increased along with the progression of the liver disease and correlate with hemodynamic parameters in cirrhosis [[35], [36], [37]]. Moreover, the gene expression of AM in the vascular tissue was enhanced in the cirrhotic rats than in the control [38,39]. These observations suggest that AM level of blood and tissue is upregulated in LC. Sinusoidal circulatory disturbance leads to intrahepatic hypoxia in LC state, although it is not completely demonstrated that AM mRNA expression in PBMC reflects intrahepatic condition. Antioxidant enzyme mRNA expressions including SOD and GPx were elevated in CLD group. ROS plays a crucial role in the development of numerous chronic liver diseases and stimulates their progression. Oxidative stress participates in the liver fibrogenic response [40]. It is possible that antioxidant enzymes mRNA expression was elevated in response to intrahepatic hypoxia caused by liver fibrosis. After ischemia reperfusion, HIF-1α is upregulated promptly and then produced intense oxidative stress [21,22]. HIF-1α is originally found as a critical mediator for inducible expression of the erythropoietin gene by hypoxia and has been shown to activate transcription of many genes including tyrosine hydroxylase, inducible nitric oxide synthase, and various glycolytic enzymes in a hypoxia-dependent manner. It is also reported that HIF-1α is induced by hypoxic conditions; intermittent hypoxia in sleep apnea syndrome with the overweight patient or non-alcoholic fatty liver [23], while HIF-1α expression in CLD group was not significantly elevated in this study. HIF-1α affects transcriptional activity at the level of protein expression, so there might be no difference in HIF-1α mRNA expression and it is known that HIF-1α mRNA remained unchanged at a much lower level and this gene expression is almost undetectable because of HIF gene's function as a transcription factor and instability [41]. AM expression in CLD patients was correlated with serum LDH, serum Alb, IL-6 expression, and SOD expression. HIF-1α is known to regulate AM and LDH expression simultaneously. AM expression was induced in the anaerobic environment including hypoxia, and correlated with serum LDH in CLD patients [42]. Albumin decreases with hepatic fibrosis progression, which triggers tissue ischemia accompanied with the progression to LC, suggesting that AM expression was well correlated with serum Alb concentration [43]. IL-6 and SOD are reported to be elevated in hypoxic conditions, and these expressions were consequently upregulated with AM expression, which reflected tissue hypoxia [40]. Thus, the progression of intrahepatic hypoxia and liver fibrosis affected and elevated AM expression. The limitation of this study is that we did not gather HV that was age-matched to CLD group. Age-related changes might affect mRNA expression of hypoxia reactive genes in PBMC; however, the lack of correlation between age and expression of hypoxia-related genes suggested that the expressions were influenced by tissue hypoxia (data not shown). These findings suggest that mRNA expression of hypoxia reactive genes in PBMC might reflect intrahepatic hypoxia. We couldn't analyze the correlation between mRNA expressions of PBMC and those of liver in this study, but the evaluation of profile in PBMC is very useful to assess the pathology of the liver, especially hypoxia without the risk of liver biopsy.

Conclusion

The hypoxia reactive genes including the angiogenetic gene in PBMC were elevated in patients with chronic liver disease. Especially, AM mRNA expression in PBMC was correlated with liver function, suggesting that it may be applied as a useful marker to reflect intrahepatic hypoxia.

Funding

This work was supported in part by .

Availability of data and materials

The dataset used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Authors’ contributions

A. Kuwano, M. Kohjima, and M. Kato designed the study. A. Kuwano performed experiments. M. Kurokawa, H. Suzuki, S. Tashiro, K. Imoto and T.Goya assisted experiments and data analyses. A. Kuwano wrote the initial draft of the manuscript. M. Kohjima, M. Tanaka, M. Kato and Y. Ogawa contributed to analysis and interpretation of data. M. Kohjima, M. Tanaka, M. Kato and Y. Ogawa assisted in the preparation of the manuscript and critically reviewed the manuscript. All authors approved the final version of the manuscript and agreed to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work.

Ethics approval and consent to participate

Ethics committee approval was obtained. The study was conducted in accordance with Declaration of Helsinki ethical principles.

Declaration of competing interest

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of this article.
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Journal:  Int J Mol Sci       Date:  2021-11-21       Impact factor: 5.923

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