Skip to main content
Download PDF

Soluble CD163 is a predictor of fibrosis and hepatocellular carcinoma development in nonalcoholic steatohepatitis

BMC Gastroenterology volume 23, Article number: 143 (2023) Cite this article

Abstract

Background

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease. The serum level of soluble CD163 (sCD163), a macrophage activation marker, is associated with liver tissue changes; however, its prognostic value is unknown. Here, we determined the utility of sCD163 as a marker for hepatocellular carcinoma (HCC) and prognostic marker for NAFLD.

Methods

This retrospective study obtained data regarding serum sCD163 levels, liver histology, and background factors associated with NAFLD in 287 patients (men/women, 140/147; average age, 53 ± 14 years) with NAFLD who underwent liver biopsy. Repeated liver biopsies of 287 patients with NAFLD (5.0 ± 2.7 years) were compared regarding serum sCD163 levels and liver tissue changes (stage, grade, steatosis, and NAFLD activity score).

Results

Serum sCD163 levels increased with the progression of liver fibrosis and inflammation (both P < 0.05) and were particularly helpful in distinguishing cases of Grade 4 fibrosis (P < 0.001). Levels of sCD163 significantly decreased in patients with NAFLD exhibiting alleviated fibrosis and inflammation (P < 0.05). We could also predict the development of HCC and associated mortality based on serum sCD163 levels at the time of NAFLD diagnosis. Serum sCD163 levels were higher in patients with HCC than in patients without HCC (1074 ± 379 ng/ml vs. 669 ± 261 ng/ml; P < 0.0001), and the same trend was observed for mortality.

Conclusions

The serum sCD163 level reflects the progression of fibrosis and inflammation in liver tissues, showing much promise as a noninvasive biomarker for nonalcoholic steatohepatitis and NAFLD as well as a possible predictor of HCC development and patient prognosis.

Peer Review reports

Background

Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, affecting approximately 25% of the general adult population worldwide [1]. The major causes of death in patients with NAFLD are cardiovascular disease, liver-related diseases including hepatocellular carcinoma (HCC), and other malignancies [2, 3]. NAFLD is the leading cause of HCC in some countries, and the number of patients with HCC due to NAFLD is rapidly increasing [4, 5].

It is generally known that the mortality rate of patients with nonalcoholic steatohepatitis (NASH) is high [1]. Among these patients, the prognosis of patients with NAFLD and advanced hepatic fibrosis is poor [1, 6,7,8,9,10,11]; therefore, identifying biomarkers that can predict the prognosis and risk of HCC in patients with NASH is crucial. The pathogenesis of NASH/NAFLD has been linked to pathogen-associated molecular patterns (e.g., gut microbiota) that enter from the intestinal tract and affect hepatic macrophages [12]. Macrophages play an important role in the development of inflammation and fibrosis in the liver. CD163 is a scavenger receptor for surface hemoglobin and haptoglobin and is expressed on macrophages and monocytes [13]. Upon macrophage activation, its expression is increased and it is released into the bloodstream as soluble CD163 (sCD163) by inflammatory signals containing lipopolysaccharide (LPS) [13, 14]. Additionally, sCD163 is associated with insulin resistance and lipolysis [12, 15]. Despite reports that serum sCD163 levels in NAFLD are associated with changes in liver tissue, there are no studies evaluating the same. Therefore, in this study, we investigated the relationship between serum sCD163 levels and histological changes, liver carcinogenesis, and prognosis of liver disease.

Methods

We retrospectively identified 287 patients with NAFLD who underwent liver biopsy at the Kawasaki Medical School General Medical Center between January 1996 and December 2018. The exclusion criteria were as follows: a history of other liver diseases (including hepatitis B or hepatitis C virus infections, autoimmune liver diseases, drug-induced liver injury, and metabolic liver diseases) and a history of high alcohol intake (men: ≥30 g/day; women: ≥20 g/day). A blood test was performed prior to liver biopsy to determine the association between sCD163 levels and liver fibrosis (grade, steatosis, ballooning, NAFLD activity score [NAS]) [16, 17]. Serum sCD163 levels in 119 patients with NAFLD who underwent repeated liver biopsies were assessed, and changes in liver histology were examined. The treatment of 119 patients with NAFLD who underwent repeated biopsies was based on diet and exercise recommendations and treatment of lifestyle-related diseases, but not the use of therapeutic agents for NAFLD. We subsequently investigated whether sCD163 levels at the time of NAFLD diagnosis could predict the carcinogenesis and prognosis of HCC in 243 patients who were followed up.

The sCD163 levels were assessed using an enzyme-linked immunosorbent assay (ELISA) kit (CD163, Human ELISA Kit Quantikaine; R&D Systems Inc., Minneapolis, MN, USA) and the primary antibody used was a mouse monoclonal antibody. Human CD163 (10D6; Leica Biosystems, Milton Keynes, UK) was diluted 1:50 prior to the analyses. All experimental protocols were approved by the Research Ethics Committee of Kawasaki Medical School (No. 2088) and complied with the guidelines of the 1975 Helsinki Declaration. Each patient provided informed consent signed at the time of histological diagnosis of the liver and opted out on the Internet.

Liver biopsy and histological analysis

All liver biopsies were ultrasound-guided and performed using 16G or 17G biopsy needles or laparoscopy-guided using 14G needles. The liver core tissue collected was 2.5 cm long and the number of portal veins was ≥ 5. Histological examinations were performed by two experienced liver pathologists who were blinded to the patient details. The histological parameters included fibrosis, inflammation, steatosis, hepatocyte ballooning, and the NAS system [16]. The individual histological features of NAFLD were assessed using the following NAS system proposed by the NASH Clinical Research Network (NASH CRN): lobular inflammation (0–3), steatosis (0–3), and hepatocellular ballooning (0–2). The liver fibrosis stages were assessed according to Brunt’s criteria [17]. Fibrosis progression was defined as progression of at least 1 stage, improvement was defined as improvement of 1 stage, and static status was defined according to Brunt’s criteria [17]. Inflammation grade was defined as progression of at least 1 stage, improvement was defined as improvement of 1 stage, and static status was defined using the following NAS system [16].

Statistical analysis

Cumulative all-cause mortality and HCC carcinogenic events during follow-up were assessed using the Kaplan–Meier method, and compared using the log-rank test. Kaplan–Meier analysis included variations in serum sCD163 levels. We also calculated odds ratios and performed receiver operating characteristic (ROC) curve analysis using logistic regression analysis to determine the best predictive cutoff value for serum sCD163 values. The optimal cutoff value was determined based on the Youden index. The prognostic performance of the optimal cutoff value was expressed as diagnostic specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV) by analyzing the area under the ROC curve (AUC). The normality of the distribution of continuous variables was evaluated using the Kolmogorov–Smirnov test.

The Wilcoxson test was used to assess the stage and grade of liver carcinoma, serum sCD163 levels, as well as the influence of background factors on repeated liver biopsies and changes in blood test results, serum sCD163 levels, and liver tissue. P < 0.05 was considered significant, and all statistical analyses were performed using JMP software (version 14.2; SAS Institute Inc., Carey, NC, USA).

Results

Relationship between sCD163 and liver histology

In this study, serum sCD163 levels were measured in 287 patients with NAFLD who underwent liver biopsy at baseline (Table 1). The serum sCD163 levels significantly increased with the progression of fibrosis and were correlated with both inflammation grade and hepatocyte ballooning (P < 0.05); however, they were not related to steatosis (Fig. 1a–d). The serum sCD163 levels were useful for the diagnosis of fibrosis stage 3–4, especially stage 4 (AUC, 0.85; cutoff, 932 ng/ml; sensitivity, 72.0%; specificity, 60.2%; PPV, 40.9%; NPV, 96.5%). The serum sCD163 levels were high in Grade 2–3 (AUC, 0.70; cutoff, 761 ng/ml; sensitivity, 52.9%; specificity, 34.4%; PPV, 70.4%; NPV, 65.6%) and NAS ≥ 5(AUC, 0.65; cutoff, 761 ng/ml; sensitivity, 50%; specificity, 28.9%; PPV, 68.6%; NPV, 63.1%) (Figure S1, a–d). The serum sCD163 was also able to distinguish between NASH and simple steatosis. We investigated whether sCD163 level is an independent marker for diagnosing NAFLD and advanced fibrosis (≥ stage3) by multivariate analysis. Univariate and multivariate analysis showed that sCD163 level is an independent marker for diagnosing progressive fibrosis in NAFLD (Table 2).

Table 1 Clinical and histological characteristics of patients at baseline
Full size table
Fig. 1
figure 1

Relationship between sCD163 and liver histology

(a). Stage

(b). Grade

(c). Steatosis

(d). Ballooning

The serum sCD163 levels significantly increased with the progression of fibrosis, and correlated with inflammation grade and hepatocyte ballooning (Fig. 1a, b, d and P < 0.05). However, serum sCD163 levels were not associated with steatosis (Fig. 1c; P = N.S).

sCD163, soluble CD163

Full size image
Table 2 Factors of advance fibrosis progression in NAFLD patients in univariate and multivariate analysis
Full size table

Relationship between sCD163 and liver fibrosis markers

The diagnostic ability of sCD163 for fibrosis stage 3 or higher was compared with other existing serum markers such as type 4 collagen7S, hyaluronic acid, TIMP-1, P-III-P, WFA + M2BP by AUC, sensitivity, specificity, PPV, and NPV and listed in Table S1. The diagnostic ability of sCD163 for advance fibrosis was excellent, comparable to type 4 collagen 7 S and hyaluronic acid. Furthermore, serum sCD163 showed a strong positive correlation with liver fibrosis markers, especially type 4 collagen 7 S, hyaluronic acid, and P-III-P (Fig. S2).

Relationship between tissue changes in repeated liver biopsies and sCD163

Table 3 shows the clinical features and biomarker data of both biopsies for 119 patients with NAFLD who underwent repeated biopsies. Fibrosis was progressed, static, and improved in 32%, 41%, and 26% of the patients, respectively; inflammation grade was progressed, static, and improved in 18%, 37%, and 45% of the patients, respectively. Steatosis was progressed, static, and improved in 20%, 40%, and 40% of the patients, respectively (see Figure S3 in Additional file 1). The difference in levels of serum sCD163 between the first and second liver biopsies increased when both inflammation and fibrosis progressed and decreased when both fibrosis and inflammation improved (Fig. 2a–c).

Table 3 Patients with NAFLD who underwent repeated liver biopsies
Full size table
Fig. 2
figure 2

Assessment of changes in the serum sCD163 levels in patients who underwent repeated biopsies

(a). Liver stage

(b). Grade

(c). Stage and grade

The difference in serum sCD163 levels between the first and second liver biopsies increased as fibrosis and inflammation progressed and decreased as fibrosis and inflammation improved

Full size image

Relationship of sCD163 levels with NASH prognosis and liver carcinogenesis

Survival curves and HCC carcinogenesis curves were created using serum sCD163 levels. To investigate the predictive performance of these biomarkers for NAFLD mortality and HCC carcinogenesis, the optimal cutoff for serum sCD163 levels was determined based on ROC curve analysis of all 243 patients with NAFLD (Fig. 3a). As shown in Fig. 3b, the cutoff value for serum sCD163 levels was set at 800 ng/ml. From 243 patients with traceable sCD163 levels at the time of NAFLD diagnosis, 13 patients had HCC onset and 15 patients died (10 patients had liver-related deaths, 3 patients had cancers of other organs, and two patients had cardiovascular events). The median observation period was 4.8 (1–14.1) years.

Fig. 3
figure 3

Serum sCD163 levels in NAFLD with and without HCC.

(a) The serum sCD163 levels were significantly greater in patients with NAFLD exhibiting HCC than in those without HCC (P < 0.0001)

(b) Predictive performance of sCD163 for HCC development in patients with HCC. The area under the receiver operating characteristic curve value for prediction of HCC development was 0.83 with sensitivity of 73% and specificity of 69%

(c) In cases with serum sCD163 levels < 800 ng/ml, the 5- and 10-year liver carcinogenic rates were 2% and 11%, respectively. In cases with > 800 ng/ml, the 5- and 10-year liver carcinogenic rates were 4.7% and 42%, respectively (P < 0.01). (d) Cumulative survival at 5 and 10 years was 98% and 89%, respectively, when serum sCD163 levels were < 800 ng/ml; cumulative survival at 5 and 10 years was 90% and 66%, respectively, when serum sCD163 levels were > 800 ng/ml (P < 0.01) (Observation period 4.8 (1-14.1) years

Full size image

In cases with serum sCD163 levels < 800 ng/ml, the 5- and 10-year liver carcinogenic rates were 2% and 11%, respectively. Conversely, in cases where serum sCD163 levels were ≥ 800 ng/ml, the 5- and 10-year liver carcinogenic rates were 4.7% and 42%, respectively (P < 0.01) (Fig. 3c). At the time of NASH diagnosis, the 5- and 10-year survival rates for patients with serum sCD163 levels < 800 ng/ml were 98% and 89%, respectively. Conversely, for patients with serum sCD163 levels ≥ 800 ng/ml, the 5- and 10-year survival rates were 90% and 66%, respectively. Survival was significantly reduced when serum sCD163 levels were 800 ng/ml or higher (P < 0.01) (Fig. 3d). Thus, patients with serum sCD163 levels > 800 ng/ml had a poorer prognosis than those with serum sCD163 levels < 800 ng/ml.

Discussion

Macrophage activation is an important part of the etiology of several diseases, and serum CD163 levels are associated with obesity, sepsis, insulin resistance, diabetes, NASH, and portal hypertension [18, 22]. Additionally, liver macrophages play an important role in inflammation and fibrosis in both NAFLD and NASH [12, 19,20,21,22,23,24]. In this study, immunostaining of the macrophage marker CD68 and macrophage activation marker sCD163 was performed to determine whether blood macrophage levels were associated with liver macrophage activation. The positive staining of sCD163 (M2 macrophages), in which sinusoid and portal vein areas were observed, was consistent with that of CD68, indicating whole macrophages (see Figure S4 in Additional file 1). Among macrophages, M1 macrophages are attributable to inflammation, while M2 macrophages reflect repair.

M2 macrophages are involved in developments including liver fibrosis, suggesting that repair by macrophages occurs in the liver.

A 12-month study of children with obesity reported a strong association between the levels of serum sCD163 and liver enzymes [25]; however, there are no reports on the relationship between sCD163 levels and changes in liver tissue. This study is the first to examine the association between changes in liver tissue and sCD163 levels. Changes in sCD163 levels were associated with changes in fibrosis and inflammation in 119 patients with NAFLD who underwent repeated liver biopsies. Serum sCD163 levels increased in cases where both fibrosis and inflammation progressed and decreased where both fibrosis and inflammation improved. This suggests that the serum sCD163 level is a useful biomarker that represents changes in liver tissue. Additionally, repeated liver biopsies were performed up to 5.0 years after the initial diagnosis, which is a sufficient period of time to determine tissue changes. Therefore, we concluded that changes in serum sCD163 levels are useful biomarkers for changes in liver tissue.

Hegazy et al. [12] stated that there may be an association between macrophage activation by LPS and its surface and the upregulation of CD163 in NAFLD. LPS, a cell wall component of gram-negative bacteria that is continuously released during the death of intestinal cells, is a potent proinflammatory signaling transducer acting via the TLR4/NF-kB pathway and contributes to the production of endogenous metabolic toxins [26]. Gut flora is involved in the pathology of NASH through the release of LPS, which activates macrophages; therefore, it may also be involved in the development of NAFLD [27]. In vitro experiments have reported an association of serum sCD163 levels with changes in lipid metabolism, thereby promoting macrophage activation in the liver [15].

Rosso et al. [20] reported that biopsy-proven NAFLD serum sCD163 levels were associated with circulating free fatty acids (FFAs), lipid flux, adipose tissue IR as well as with changes in lipid metabolism such as FFA overflow and activating macrophages in the liver. Furthermore, human monocyte-derived macrophages (hMDMs) were treated with palmitic acid, and the sCD163 level in the culture medium was measured. Palmitic acid exposure increased sCD163 secretion in hMDMs. Additionally, palmitic acid levels were significantly higher in patients with NAFLD and severe fibrosis than those with mild fibrosis. Although the contribution of adipose tissue macrophages to circulating sCD163 cannot be ruled out, the combination of results suggest that circulating sCD163 primarily represents liver macrophage activation in patients with NAFLD.

Our results demonstrate that cases with high serum sCD163 levels—especially cases of NAFLD with serum sCD163 levels > 800 ng/ml—had a high incidence of HCC and a poor prognosis. This suggests that patients with advanced liver fibrosis or severe inflammation are more likely to develop HCC and have a poor prognosis. Therefore, patients with NAFLD and high serum sCD163 levels should undergo screening for HCC. According to reports, tumor-related macrophages and M2 macrophages in HCC are regulated by interleukin 10, which accelerates the progression of HCC [28]. In NASH, inflammatory cytokines produced in immune cells that are involved in steatohepatitis are also involved in HCC infiltration and metastasis [29, 30]. The association between serum sCD163 levels and the liver tissue in NASH and in HCC has not been clarified. Furthermore, in both hepatitis C virus (HCV), hepatitis B virus (HBV), and metabolic association fatty liver disease (MAFLD), sCD163 increased in association with histologic fibrosis stage [31]. However, there are no reports of sCD163 in HCC, and more studies are needed in more HCC cases.

Recently, certain biomarkers have been reported to predict the development and prognosis of HCC. For example, DKK-1, an inhibitor of the Wnt/β-catenin signaling pathway involved in embryogenesis, predicts HCC development [32]. In addition, micro RNA 142 was highly expressed in HCC and microRNAs 191, 22, and 126 were higher in controls [33]. Furthermore, high sPD-L1 levels could be a possible prognostic indicator for a poor outcome in liver cirrhosis and HCC patients [34].

This study has some limitations, including the potential for sampling errors due to the very small size of the liver biopsy tissue specimen; inherent limitations of the study design for liver biopsy, such as variability, low accuracy, and risk factors for error; and the potential for selection bias owing to the single-center design. Sample size analysis and research power would be needed to validate the research findings. Further studies are also needed to determine whether the combination of sCD163 and other existing serum markers improve diagnostic performance.

Conclusions

In conclusion, serum sCD163 levels reflect the progression of liver fibrosis and inflammation in patients with NAFLD and may be a potential biomarker of prognostic scrutiny. In cases where the serum sCD163 level is 800 ng/ml or higher, patients are predisposed to liver carcinogenesis and poor prognosis. Such patients with NAFLD and high serum sCD163 levels should, therefore, be subjected to NAFLD prognostic scrutiny and HCC screening.

Data availability

Data are available to researchers upon reasonable request from the corresponding author.

Abbreviations

AUC:

Area under the curve

ELISA:

Enzyme-linked immunosorbent assay

FFA:

Free fatty acids

HCC:

Hepatocellular carcinoma

hMDMs:

Human monocyte-derived macrophages

IR:

Insulin resistance

LPS:

Lipopolysaccharide

NAFLD:

Nonalcoholic fatty liver disease

NAS:

NAFLD activity score

NASH:

Nonalcoholic steatohepatitis

NASH CRN:

NASH Clinical Research Network

NPV:

Negative predictive value

PPV:

Positive predictive value

ROC:

Receiver operating characteristic

sCD163:

Soluble CD163

BMI:

Body mass index

ALT:

Alanine aminotransferase

AST:

Aspartate aminotransferase

γ-GTP:

γ-glutamyltransferase

HOMA-IR:

Homeostasis model assessment-insulin resistance level

P-III-P:

Procollagen-III-peptide

TIMP-1:

Tissue inhibitor of metalloproteinases-1

WFA+M2BP:

Wisteria floribunda agglutinin Mac-2 binding protein

References

  1. Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease—Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64:73–84.

    Article  PubMed  Google Scholar 

  2. European Association for the Study of the Liver (EASL). European Association for the study of diabetes (EASD); European Association for the study of obesity (EASO). EASL-EASD-EASO clinical practice guidelines for the management of non-alcoholic fatty liver disease. J Hepatol. 2016;64:1388–402.

    Article  Google Scholar 

  3. Chalasani N, Younossi Z, Lavine JE, Charlton M, Cusi K, Rinella M, et al. The diagnosis and management of nonalcoholic fatty liver disease: practice guidance from the American Association for the study of Liver Diseases. Hepatology. 2018;67:328–57.

    Article  PubMed  Google Scholar 

  4. Huang DQ, EI-Serag HB, Loomba R. Global epidemiology of NAFLD-related HCC: trends, predictions, risk factors and prevention. Nat Rev Gastroenterol Hepatol. 2021:18223–38.

  5. McGlynn KA, Petrick JL, EI-Serag H. Epidemiology of hepatocellular carcinoma. Hepatology. 2021;73:4–13.

    Article  CAS  PubMed  Google Scholar 

  6. Musso G, Gambino R, Cassader M, Pagano G. Meta-analysis: natural history of non-alcoholic fatty liver disease (NAFLD) and diagnostic accuracy of non-invasive tests for liver disease severity. Ann Med. 2011;43:617–49.

    Article  PubMed  Google Scholar 

  7. Singh S, Allen AM, Wang Z, Prokop LJ, Murad MH, Loomba R. Fibrosis progression in nonalcoholic fatty liver vs nonalcoholic steatohepatitis: a systematic review and meta-analysis of paired-biopsy studies. Clin Gastroenterol Hepatol. 2015;13:643–54.

    Article  PubMed  Google Scholar 

  8. Angulo P, Kleiner DE, Dam-Larsen S, Adams LA, Bjornsson ES, Charatcharoenwitthaya P et al. Liver fibrosis, but no other histologic features, is associated with long-term outcomes of patients with nonalcoholic fatty liver disease. Gastroenterology. 2015;149: 389 – 97.e10.

  9. Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, et al. Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: systematic review and meta-analysis. Hepatology. 2017;65:1557–65.

    Article  CAS  PubMed  Google Scholar 

  10. Hagström H, Nasr P, Ekstedt M, Hammar U, Stål P, Hultcrantz R, et al. Fibrosis stage but not NASH predicts mortality and time to development of severe liver disease in biopsy-proven NAFLD. J Hepatol. 2017;67:1265–73.

    Article  PubMed  Google Scholar 

  11. Fujii H, Iwaki M, Hyashi H, Toyoda H, Oeda S, Hyogo H, et al. Clinical outcomes in biopsy-proven nonalcoholic fatty liver disease patients: a multicenter registry-based cohort study. Clin Gastroenterol Hepatol. 2022;S1542–3565:22–00008. https://0-doi-org.brum.beds.ac.uk/10.1016/j.cgh.2002.01.002.

    Article  Google Scholar 

  12. Hegazy MA, Mogawer SM, Alnaggar ARLR, Ghoniem OA, Abdel Samie RM. Serum LPS and CD163 biomarkers confirming the role of gut dysbiosis in overweight patients with NASH. Diabetes Metab Syndr Obes. 2020;13:3861–72.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Mǿller HJ, Peterslund NA, Graversen JH, Moestrup SK. Identification of the hemoglobin scavenger receptor/CD163 as a natural soluble protein in plasma. Blood. 2002;99:378–80.

    Article  PubMed  Google Scholar 

  14. Hintz KA, Rassias AJ, Wardwell K, Moss ML, Morganelli PM, Pioli PA, et al. Endotoxin induces rapid metalloproteinase-mediated shedding followed by up-regulation of the monocyte hemoglobin scavenger receptor CD163. J Leukoc Biol. 2002;72:711–7.

    Article  CAS  PubMed  Google Scholar 

  15. Rittig NR, Svart M, Jessen N, Møller N, Møller HJ, Grønbæk H. Macrophage activation markers sCD163 correlates with accelerated lipolysis following LPS exposure: a human-randomised clinic trial. Endocr Connect. 2018;7:107–14.

    Article  CAS  PubMed  Google Scholar 

  16. Brunt EM, Kleiner DE, Wilson LA, Belt P, Neuschwander-Tetri BA, NASH Clinical Research Network (CRN). Nonalcoholic fatty liver disease (NAFLD) activity score and the histologic diagnosis in NAFLD: distinct clinicopathologic meanings. Hepatology. 2011;53:810–20.

    Article  CAS  PubMed  Google Scholar 

  17. Kleiner DE, Brunt EM, Van Natta M, Behling C, Contos MJ, Cummings OW, et al. Design and validation of a histological scoring system for nonalcoholic fatty liver disease. Hepatology. 2005;41:1313–21.

    Article  PubMed  Google Scholar 

  18. Sǿrensen LP, Parkner T, Sǿndergaard E, Bibby BM, Møller HJ, Nielsen S. Visceral obesity is associated with increased soluble CD163 concentration in men with type 2 diabetes mellitus. Endocr Connect. 2015;4:27–36.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Kazankov K, Berrera F, Mǿller HJ, Rosso C, Bugianesi E, David E et al. The macrophage activation marker sCD163 is associated with morphological disease stages in patients with non-alcoholic fatty liver disease. Liver Int. 2016;36:1449 – 557.

  20. Rosso C, Kazankov K, Younes R, Esmaili S, Marietti M, Sacco M, et al. Crosstalk between adipose tissue insulin resistance and liver macrophages in non-alcoholic fatty liver disease. J Hepatol. 2019;71:1012–21.

    Article  CAS  PubMed  Google Scholar 

  21. Rǿdgaard-Hansen S, St George A, Kazankov K, Bauman A, George J, Grønbæk H, et al. Effects of lifestyle intervention on soluble CD163, a macrophage activation marker, in patients with non-alcoholic fatty liver disease. Scand J Clin Lab Invest. 2017;77:498–504.

    Article  PubMed  Google Scholar 

  22. Kazankov K, Tordjman J, Mǿller HJ, Vilstrup H, Poitou C, Bedossa P, et al. Macrophage activation marker soluble CD163 and non-alcoholic fatty liver disease in morbidly obese patients undergoing bariatric surgery. J Gastroenterol Hepatol. 2015;30:1293–300.

    Article  CAS  PubMed  Google Scholar 

  23. Mueller JL, Feeney ER, Zheng H, Misdraji J, Kruger AJ, Alatrakchi N, et al. Circulating soluble CD163 is associated with steatohepatitis and advanced fibrosis in nonalcoholic fatty liver disease. Clin Transl Gastroenterol. 2015;6:e114.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. De Vito R, Alisi A, Masotti A, Ceccarelli S, Panera N, Citti A, et al. Markers of activated inflammatory cells correlate with severity of liver damage in children with nonalcoholic fatty liver disease. Int J Mol Med. 2012;30:49–56.

    PubMed  Google Scholar 

  25. Kazankov K, Mǿller HJ, Lange A, Birkebaek NH, Holland-Fischer P, Solvig J, et al. The macrophage activation marker sCD163 associated with changes in NAFLD and metabolic profile during lifestyle intervention in obese children. Pediatr Obes. 2015;10:226–33.

    Article  CAS  PubMed  Google Scholar 

  26. Testro AG, Visvanathan K. Toll-like receptors and their role in gastrointestinal disease. J Gastroenterol Hepatol. 2009;24:943–54.

    Article  CAS  PubMed  Google Scholar 

  27. Iwaki M, Kessoku T, Ozaki A, Kasai Y, Kobayashi T, Nogami A, et al. Gut microbiota composition associated with hepatic fibrosis in non-obese patients with non-alcoholic fatty liver disease. Gastroenterol Hepatol. 2021;36:2275–84.

    Article  CAS  Google Scholar 

  28. Ambade A, Satishchandran A, Saha B, Gyongyosi B, Lowe P, Kodys K, et al. Hepatocellular carcinoma is accelerated by NASH involving M2 macrophage polarization mediated by hif-1 α induced IL-10. Oncoimmunlogy. 2016;5:e1221557.

    Article  Google Scholar 

  29. Park EJ, Lee JH, Yu GY, He G, Ali SR, Holzer RG, et al. Dietary and genetic obesity promote liver inflammation and tumorigenesis by enhancing IL-6 and TNF expression. Cell. 2010;140:197–208.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Michelotti GA, Machado MV, Diehl AM. NAFLD, NASH and liver cancer. Nat Rev Gastroenterol Hepatol. 2013;10:656–65.

    Article  CAS  PubMed  Google Scholar 

  31. Gantzel RH, Kjær MB, Laursen TL, Kazankov K, George J, et al. Macrophage activation markers, Soluble CD163 and mannose receptor, in Liver Fibrosis. Front Med. 2021;7:615599.

    Article  Google Scholar 

  32. Watany M, Badawi R, Elkhalawany W, Abd-Elsalam S. Study of dickkopf-1 (DKK-1) gene expression in hepatocellular carcinoma patients. J Clin Diagn Res. 2017;11:OC32–4.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Elhendawy M, Abdul-Baki EA, Abd-Elsalam S, Hagras MM, Zidan AA, et al. MicroRNA signature in hepatocellular carcinoma patients: identification of potential markers. Mol Biol Rep. 2020;47:4945–53.

    Article  CAS  PubMed  Google Scholar 

  34. El-Gebaly F, Abou-Saif S, Elkadeem M, Helmy A, Abd-Elsalam S, et al. Study of serum soluble programmed death ligand 1 as a prognostic factor in Hepatocellular Carcinoma in Egyptian Patients. Curr Cancer Drug Targets. 2019;19:896–905.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

English language editing was performed by Editage (www.editage.com).

Funding

Not applicable.

Author information

Authors and Affiliations

  1. Department of General Internal Medicine, General Medical Center, Kawasaki Medical School, 2-6-1, Nakasange, Kita-ku, Okayama City, 700-8505, Okayama, Japan

    Miwa Kawanaka, Ken Nishino, Mayuko Kawada, Katsunori Ishii, Tomohiro Tanikawa, Ryo Katsumata, Noriyo Urata, Jun Nakamura, Mitsuhiko Suehiro, Ken Haruma & Hirofumi Kawamoto

Authors
  1. Miwa Kawanaka
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ken Nishino
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mayuko Kawada
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Katsunori Ishii
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tomohiro Tanikawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Ryo Katsumata
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Noriyo Urata
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Jun Nakamura
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Mitsuhiko Suehiro
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Ken Haruma
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Hirofumi Kawamoto
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

KM: conceptualization, data curation, formal analysis, resources, software, supervision, validation and visualization; KM, IK, NK: funding acquisition; TT, KR, UN, NJ: investigation; SM: methodology; HK, KH: project administration; KM: wrote original draft, reviewed and edited manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Miwa Kawanaka.

Ethics declarations

Ethics approval and consent to participate

All experimental protocols were approved by the Research Ethics Committee of Kawasaki Medical School (No. 2088) and complied with the guidelines of the 1975 Helsinki Declaration. Each patient provided informed consent signed at the time of histological diagnosis of the liver and opted out on the Internet.

Consent for publication

Not applicable.

Competing interest

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Figure S1

. Receiver-operating characteristic curve based on the serum sCD163 levels in patients with NAFLD. (a) fibrosis stage 3-4, (b) fibrosis stage 4, (c) Grade 2?3, (d) NAS ≧5. Figure S2. Comparison of sCD163 with other fibrosis markers (type 4 collagen 7S, hyaluronic acid, TIMP-1, P-III-P, WFA+M2BP). Figure S3. Changes in liver histology were examined in patients who underwent repeated biopsies (n=287) (5.7±3.1 years). Figure S4. Representative case of immunohistochemical staining, (a) CD68, (b) sCD163. Table S1. Receiver-operating characteristic curve based on the serum sCD163, type4collagen7S, hyaluronic acid, P-III-P, WFA+M2BP levels in fibrosis stage 3 or higher patients with NAFLD

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kawanaka, M., Nishino, K., Kawada, M. et al. Soluble CD163 is a predictor of fibrosis and hepatocellular carcinoma development in nonalcoholic steatohepatitis. BMC Gastroenterol 23, 143 (2023). https://0-doi-org.brum.beds.ac.uk/10.1186/s12876-023-02786-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12876-023-02786-4

Keywords

BMC Gastroenterology

ISSN: 1471-230X

Contact us