Changes in Erythrocyte Sedimentation Rate, White Blood Cell Count, Liver Enzymes, and Magnesium after Gastric Bypass Surgery

Johansson, Hans-Erik; Haenni, Arvo; Zethelius, Björn

doi:https://doi.org/10.1155/2011/273105

Journal of Obesity

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Clinical Study | Open Access

Volume 2011 | Article ID 273105 | https://doi.org/10.1155/2011/273105

Changes in Erythrocyte Sedimentation Rate, White Blood Cell Count, Liver Enzymes, and Magnesium after Gastric Bypass Surgery

Hans-Erik Johansson,¹Arvo Haenni,¹and Björn Zethelius¹

Academic Editor: Michael M. Murr

Received13 Jun 2011

Accepted27 Sept 2011

Published26 Dec 2011

Abstract

Background. Roux-en-Y gastric bypass (RYGBP) is an established method for treatment of obesity, a condition of chronic inflammation with liver steatosis, characterised by increased erythrocyte sedimentation rate (ESR), white blood cell count (WBC), liver enzymes, and decreased magnesium (Mg). We investigated alterations, if any, in ESR, WBC, alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT), and Mg after RYGBP. Methods. 21 morbidly obese nondiabetic patients who underwent RYGBP surgery were evaluated preoperatively (baseline), then 1 year (1st followup) and 3.5 years (2nd followup) after RYGBP and compared to an untreated control group. Results. Body mass index, ESR, WBC, ALT, and GGT were all significantly reduced at 1 year in the RYGBP group (30%, 35%, 20%, 45%, and 57%, resp.) while Mg increased by 6%, compared to control group (). Conclusions. Obese patients treated by RYGBP show sustained reductions in ESR, WBC, ALT, and GGT possibly due to reduced liver steatosis and increased Mg.

1. Introduction

Bariatric surgery has become an effective treatment for obesity, also improving glucose tolerance, insulin sensitivity, lipid status [1–3], and reducing mortality [4, 5].

Obesity is a chronic condition [6, 7] characterised by elevated inflammatory markers such as erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), fibrinogen concentrations, and increased white blood cell (WBC) count [8–10]. Furthermore, these markers are correlated with central distribution of body fat, high blood pressure, hyperglycemia, dyslipidemia, and hyperinsulinemia, all well-known risk factors for cardiovascular disease [11, 12]. ESR, which measures the tendency of red blood cells to aggregate, has been identified as an independent predictor for myocardial infarction [13, 14] and coronary heart disease (CHD) [15, 16]. WBC has also been shown to predict CHD [17–19]. Bariatric surgical procedure such as adjustable gastric banding and RYGBP is associated with lowered WBC [20–23]. Corresponding information on ESR changes after RYGBP is scant.

Obesity is also associated with nonalcoholic fatty liver disease (NAFLD) [24, 25]. Serum alanine aminotransferase (ALT) and serum gamma-glutamyltransferase (GGT) are markers of NAFLD and of liver fat content [26, 27] and are found to predict the onset of type 2 diabetes mellitus (T2DM) [28] as well as CHD [29–31]. Dysmetabolic conditions like obesity and nonalcoholic steatohepatitis have also been associated with a low magnesium (Mg) status [32, 33].

The aim of this study was to assess changes, if any, in morbidly obese patients treated with RYGBP () after 1 year and after 3.5 years after surgery, regarding ESR, WBC, serum concentrations of ALT, GGT, Mg, and creatinine in comparison with a morbidly obese untreated control group.

2. Material and Methods

2.1. Patients

Twenty-one consecutive patients (three male, eighteen female), all Caucasians, with morbid obesity, without established diabetes, and on the waiting list for RYGBP were recruited from the Outpatient Clinic of Obesity Care, Uppsala University Hospital, Uppsala, Sweden.

Patients were investigated preoperatively (baseline), and then 1 year (1st followup) and 3.5 years (2nd followup) after RYGBP. Data from the RYGBP group were compared to that of a baseline matched morbidly obese control (MOC) group also recruited from the waiting list for RYGBP. Thus, this MOC group showed similar characteristics as compared to the RYGBP group; however, since the control group was recruited from the waiting list it was not possible to follow up longer than one year. The MOC group consisted of 21 morbidly obese patients (5 men, 16 women) who also did not have established diabetes and without pharmacological treatment for diabetes. Baseline characteristics of the subjects are shown in Table 1.

Exclusion criteria for participation were anaemia, liver disease, high alcohol consumption (>21 units per week, 1 unit = 8 g alcohol), use of hypoglycaemic agents, or lipid-lowering medication at baseline or followups.

The study was approved by the regional ethics review board at Uppsala University.

2.2. RYGBP Surgery Procedure

RYGBP excluded the stomach and duodenum from the passage of food. The flaccid part of the lesser omentum and the first gastric vessel on the lesser curvature was divided just below the fat pad, to create a small gastric pouch (2 cm by 3 cm). The pouch was then totally separated from the main stomach, which was left in the abdomen. The small bowel was divided 30 cm distal to the ligament of Treitz, and the aboral end was connected to the small gastric pouch. This jejunal limb, the so-called Roux limb, was made 70 cm long and placed behind the excluded stomach and transverse colon. The small bowel continuity was maintained by an enteroenterostomy between the Roux limb and the earlier divided proximal jejunum. This created the Y-shaped junction where the ingested food, via the Roux-limb, and the gastric acid and bile are mixed.

All participants were given the same kind of dietary advice after surgery and were recommended to take a daily oral supplement containing vitamins and minerals (Vitamineral) which does not contain magnesium.

2.3. Test Procedures

All participants underwent physical examination and blood tests for ESR, WBC, ALT, GGT, Mg, and creatinine preoperatively (baseline) and at 1st and 2nd followups. Blood samples were collected from each patient following an overnight fast and analysed.

2.4. Clinical Measurements

Weight (kg) and height (m) were measured on standardised calibrated scales, and BMI (kg/m²) was calculated.

2.5. Laboratory Analyses

Serum concentrations of ALT, GGT, and creatinine were analyzed using routine methods for clinical chemistry at the Department of Clinical Chemistry at the University Hospital, Uppsala. Plasma ESR level (mm/hr) was assessed by Sedimatic 100 (Guest Scientific A.G., Cham, Switzerland). WBC was measured by a Cell-Dyn Sapphire (Abbott, Santa Clara, USA). Serum Mg was measured by spectrophotometric determination as previously reported [34].

2.6. Statistics

All analyses were defined a priori. Results are given as arithmetic mean with their standard deviation. ANOVA was used for trends over three and half years of followup. Changes between different time points were analysed using paired t-test. Tests were two-tailed, and a value <0.05 was considered significant. Statistical software JMP 3.2 for PC (SAS Corporation, Cary, Tex, USA) was used.

3. Results

3.1. Baseline Data

Clinical characteristics for patients at baseline, that is, before RYGBP surgery, are shown in Table 1. There were no statistically significant differences in gender, mean BMI, ESR, WBC, or serum concentrations of ALT, GGT, and Mg in the RYGBP group compared with MOC group. Mean age in the MOC group was lower.

3.2. Follow-Up Data at 1 Year (1st Followup, RYGBP and MOC Groups) and 3.5 Years (2nd Followup, RYGBP Group)

BMI, ALT, GGT, ESR, and WBC were all decreased over the three and half years of followup after RYGBP while Mg was found to increase.

BMI was reduced by 30% in the RYGBP group, from 42.3 kg/m² at baseline to 29.7 kg/m² at 1st followup (), and by 24%, from 42.3 kg/m² to 32.1 kg/m² at 2nd followup () implying a 6% gain (gain over the baseline BMI) between 1st and 2nd followups (). In the MOC group BMI was unaltered between baseline and 1st followup (44.3 and 44.2 kg/m², resp.; ). At 1st followup, the intergroup difference (between the RYGBP and MOC groups) was significant ().

ESR decreased by 35% in the RYGBP group, from 17 mm/hr at baseline to 11 mm/hr at 1st followup () and to 12 mm/hr at 2nd followup () with no significant change between 1st and 2nd followups () (Figure 1(a)). In the MOC group, ESR was unchanged, 16 mm/hr at both occasions (). The intergroup difference at 1st followup was significant ().

(a)

(b)

(c)

(d)

WBC decreased by 20% in the RYGBP group, from 7.0 × 10⁹/L at baseline to 5.6 × 10⁹/L at 1st followup () and to 6.0 × 10⁹/L at 2nd followup () with no significant change between 1st and 2nd followups () (Figure 1(b)). In the MOC group no change in WBC was observed between baseline and 1st followup (7.5 and 8.3 × 10⁹/L, resp.; ). The intergroup difference at 1st followup was significant ().

ALT was markedly lowered by 45% in the RYGBP group, from 0.62 μkatal/L at baseline to 0.34 μkatal/L at 1st followup and to 0.24 μkatal/L at 2nd followup (both ). The further decrease of 29%, between 1st and 2nd followups, was also significant () (Figure 1(c)). In the MOC group, ALT was unchanged, 0.57 μkatal/L at both occasions (). The intergroup difference at 1st followup was significant ().

GGT was also markedly lowered by 57% in the RYGBP group, from 0.65 μkatal/L at baseline to 0.28 μkatal/L at 1st followup () and to 0.31 μkatal/L at 2nd followup (both ) with no significant change between 1st and 2nd followups () (Figure 1(d)). In the MOC group an opposite trend was observed between baseline and 1st followup (0.69 and 0.81 μkatal/L, resp.; ). The intergroup difference at 1st followup was significant ().

Mg increased by 6% in the RYGBP group, from 0.80 mmol/L at baseline to 0.85 mmol/L at 1st followup () and further to 0.87 mmol/L at 2nd followup (); however, the change between 1st and 2nd followups () was not significant. In the MOC group no change was observed between baseline and 1st followup (0.80 and 0.77 mmol/L, resp.; ); however, the intergroup difference at 1st followup was significant ().

No changes in creatinine levels were observed in the RYGBP group or in the MOC group.

3.3. Pearson’s Product-Moment Correlation Coefficients

A higher baseline BMI correlated with increased ESR (, ) and with decreased Mg (, ) but not significantly with WBC (, ), ALT (, ), or GGT ().

4. Discussion

The main findings in this study were that ESR, WBC, and liver enzymes, ALT and GGT, decreased after RYGBP surgery. The sustained lowering of ESR and WBC, markers of inflammation, may indicate a long-term improvement regarding inflammatory status in obese subjects treated by RYGBP surgery along with a sustained lowering of both ALT and GGT, markers for liver steatosis and for metabolic and cardiovascular risk [30, 31]. Obesity is an inflammatory condition [6, 7] associated with elevated inflammatory markers such as ESR, CRP, fibrinogen, and WBC [8–10, 35]. It has been shown that CRP and other inflammatory biomarkers predict cardiovascular mortality [36]. Lowered CRP and WBC concentrations have been reported with at least 1 year’s followup after RYGBP as well as after gastric banding [20]. Decreased ESR levels were also reported one and four years after gastric banding [21, 23]. RYGBP induces a larger weight loss than gastric banding, but data on ESR after RYGBP has been less complete. ESR has less intraindividual variation than CRP, which is influenced by minor infections, for example, common cold, and also by degree of physical activity. Our results show a decrease in ESR by 35% one year after RYGBP surgery which was sustained over time up to 3.5 years of followup. In contrast, no difference was observed in the control group.

In this study ESR was measured according to the principles of the Fåhræus-Westergren method [37, 38] which is considered the gold standard for determination of erythrocyte sedimentation rate. ESR is a widely available test and is used as a nonspecific marker of inflammation. It is higher in obesity and increases with age. The ESR value depends on the balance between factors promoting and factors resisting erythrocyte sedimentation. The promoting factors include fibrinogen (an acute-phase protein) and other proinflammatory cytokines. Levels of fibrinogen and the proinflammatory cytokines are elevated in inflammatory conditions, their production by the hepatocytes being increased [39].

Hepatocyte production of these acute-phase proteins is in turn influenced by the degree of liver steatosis [40, 41]. Nonalcoholic fatty liver disease (NAFLD), of which liver steatosis is part, occurs in obesity and is associated with elevated fibrogen and liver enzymes [40, 42, 43]. Lowered liver enzymes such as GGT have been reported to predict the improvements in inflammation and fibrosis in the hepatocytes in NAFLD, two key prognostic features of this condition [27]. The lowered serum GGT, ALT, and ESR observed in this study after RYGBP might thus reflect decreased degree of liver steatosis. A similar pattern regarding fibrinogen, ALT, and GGT has previously been shown after gastric banding [23, 27]. Thus, it might be speculated that in the present study a decreased liver steatosis after RYGBP surgery has contributed to a reduced fibrinogen synthesis and lowered ESR.

WBC is increased in inflammatory conditions and is increased in obesity and correlates with central obesity [44, 45]. It is also associated with NAFLD regardless of the presence of classical cardiovascular risk factors and other components of metabolic syndrome [46]. The present study showed a decrease in WBC by 20% three and a half years after RYGBP which is in congruence with other shorter studies [20, 22]. Our results indicate that the lowered WBC may be sustained in the long term.

This study confirmed the findings from a previous study that noted increase in serum Mg one year after RYGBP [34] and further documented sustenance of this increase up to three and a half years. This increase is not thought to be due to impaired renal function as the serum creatinine did not change in the follow-up interval. The exact mechanisms have still to be explained.

Possible limitations to the study would be that the presence of concomitant minor infections was not documented. However, anaemia and renal impairment, factors which might influence ESR, were not observed in our study. We did not measure CRP for direct comparison with ESR. The control group was significantly younger than the RYGBP group, but since ESR increases with age it is unlikely that this had an influence on the ESR results. Body fat content and liver fat content measured by imaging techniques like Dual energy X-ray absorptiometry or ultrasonography would have been warranted to investigate if different fat distribution might influence the variables analysed in this study.

In conclusion, morbidly obese patients treated with RYGBP show a marked and sustained decrease in ESR, WBC, ALT, and GGT which may indicate improvements in general inflammatory status and particularly steatohepatitis. They also show sustained increases in Mg.

Conflict of Interests

The authors declare that they have no conflict of interests.

Acknowledgments

This paper received funding by research grants from The Family Ernfors Fund for Diabetes Research, Uppsala University, the Thureus Fund, the Thuring Family Foundation, and the Research and Development Department, Primary Care, Uppsala County.

References

A. A. Gumbs, I. M. Modlin, and G. H. Ballantyne, “Changes in insulin resistance following bariatric surgery: role of caloric restriction and weight loss,” Obesity Surgery, vol. 15, no. 4, pp. 462–473, 2005.
View at: Publisher Site | Google Scholar
K. Wickremesekera, G. Miller, T. DeSilva Naotunne, G. Knowles, and R. S. Stubbs, “Loss of insulin resistance after Roux-en-Y gastric bypass surgery: a time course study,” Obesity Surgery, vol. 15, no. 4, pp. 474–481, 2005.
View at: Publisher Site | Google Scholar
J. J. Gleysteen, “Results of surgery: long-term effects on hyperlipidemia,” American Journal of Clinical Nutrition, vol. 55, no. 2, pp. 591S–593S, 1992.
View at: Google Scholar
L. Sjöström, K. Narbro, C. D. Sjöström et al., “Effects of bariatric surgery on mortality in Swedish obese subjects,” The New England Journal of Medicine, vol. 357, no. 8, pp. 741–752, 2007.
View at: Publisher Site | Google Scholar
T. D. Adams, R. E. Gress, S. C. Smith et al., “Long-term mortality after gastric bypass surgery,” The New England Journal of Medicine, vol. 357, no. 8, pp. 753–761, 2007.
View at: Publisher Site | Google Scholar
Y. H. Lee and R. E. Pratley, “The evolving role of inflammation in obesity and the metabolic syndrome,” Current Diabetes Reports, vol. 5, no. 1, pp. 70–75, 2005.
View at: Google Scholar
B. E. Wisse, “The inflammatory syndrome: the role of adipose tissue cytokines in metabolic disorders linked to obesity,” Journal of the American Society of Nephrology, vol. 15, no. 11, pp. 2792–2800, 2004.
View at: Publisher Site | Google Scholar
I. R. Fisch and S. H. Freedman, “Smoking, oral contraceptives, and obesity. Effects on white blood cell count,” Journal of the American Medical Association, vol. 234, no. 5, pp. 500–506, 1975.
View at: Publisher Site | Google Scholar
M. Visser, L. M. Bouter, G. M. McQuillan, M. H. Wener, and T. B. Harris, “Elevated C-reactive protein levels in overweight and obese adults,” Journal of the American Medical Association, vol. 282, no. 22, pp. 2131–2135, 1999.
View at: Publisher Site | Google Scholar
I. Lemieux, A. Pascot, D. Prud'homme et al., “Elevated C-reactive protein: another component of the atherothrombotic profile of abdominal obesity,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 21, no. 6, pp. 961–967, 2001.
View at: Google Scholar
A. Festa, R. D'Agostino, G. Howard, L. Mykkänen, R. P. Tracy, and S. M. Haffner, “Chronic subclinical inflammation as part of the insulin resistance syndrome: the insulin resistance atherosclerosis study (IRAS),” Circulation, vol. 102, no. 1, pp. 42–47, 2000.
View at: Google Scholar
A. Natali, A. L'Abbate, and E. Ferrannini, “Erythrocyte sedimentation rate, coronary atherosclerosis, and cardiac mortality,” European Heart Journal, vol. 24, no. 7, pp. 639–648, 2003.
View at: Publisher Site | Google Scholar
L. A. Carlson, L. E. Bottiger, and P. E. Ahfeldt, “Risk factors for myocardial infarction in the Stockholm prospective study. A 14-year follow-up focussing on the role of plasma triglycerides and cholesterol,” Acta Medica Scandinavica, vol. 206, no. 5, pp. 351–360, 1979.
View at: Google Scholar
L. A. Carlson and L. E. Bottiger, “Risk factors for ischaemic heart disease in men and women. Results of the 19-year follow-up of the Stockholm Prospective Study,” Acta Medica Scandinavica, vol. 218, no. 2, pp. 207–211, 1985.
View at: Google Scholar
I. F. Godsland, R. Bruce, J. A. R. Jeffs, F. Leyva, C. Walton, and J. C. Stevenson, “Inflammation markers and erythrocyte sedimentation rate but not metabolic syndrome factor score predict coronary heart disease in high socioeconomic class males: the HDDRISC study,” International Journal of Cardiology, vol. 97, no. 3, pp. 543–550, 2004.
View at: Publisher Site | Google Scholar
J. Danesh, R. Collins, P. Appleby, and R. Peto, “Association of fibrinogen, C-reactive protein, albumin, or leukocyte count with coronary heart disease: meta-analyses of prospective studies,” Journal of the American Medical Association, vol. 279, no. 18, pp. 1477–1482, 1998.
View at: Publisher Site | Google Scholar
J. W. G. Yarnell, I. A. Baker, P. M. Sweetnam et al., “Fibrinogen, viscosity, and white blood cell count are major risk factors for ischemic heart disease. The Caerphilly and Speedwell collaborative heart disease studies,” Circulation, vol. 83, no. 3, pp. 836–844, 1991.
View at: Google Scholar
L. K. Hansen, R. H. Grimm, and J. D. Neaton, “The relationship of white blood cell count to other cardiovascular risk factors,” International Journal of Epidemiology, vol. 19, no. 4, pp. 881–888, 1990.
View at: Google Scholar
G. D. Friedman, A. L. Klatsky, and A. B. Siegelaub, “The leukocyte count as a predictor of myocardial infarction,” The New England Journal of Medicine, vol. 290, no. 23, pp. 1275–1278, 1974.
View at: Google Scholar
S. B. Chen, Y. C. Lee, K. H. Ser et al., “Serum C-reactive protein and white blood cell count in morbidly obese surgical patients,” Obesity Surgery, vol. 19, no. 4, pp. 461–466, 2009.
View at: Publisher Site | Google Scholar
V. Bacci, M. S. Basso, F. Greco et al., “Modifications of metabolic and cardiovascular risk factors after weight loss induced by laparoscopic gastric banding,” Obesity Surgery, vol. 12, no. 1, pp. 77–82, 2002.
View at: Publisher Site | Google Scholar
J. B. Dixon and P. E. O'Brien, “Obesity and the white blood cell count: changes with sustained weight loss,” Obesity Surgery, vol. 16, no. 3, pp. 251–257, 2006.
View at: Publisher Site | Google Scholar
C. Lubrano, S. Mariani, M. Badiali et al., “Metabolic or bariatric surgery Long-term effects of malabsorptive vs restrictive bariatric techniques on body composition and cardiometabolic risk factors,” International Journal of Obesity, vol. 34, no. 9, pp. 1404–1414, 2010.
View at: Publisher Site | Google Scholar
M. Machado and H. Cortez-Pinto, “Non-alcoholic fatty liver disease and insulin resistance,” European Journal of Gastroenterology and Hepatology, vol. 17, no. 8, pp. 823–826, 2005.
View at: Publisher Site | Google Scholar
G. Marchesini and M. Babini, “Nonalcoholic fatty liver disease and the metabolic syndrome,” Minerva Cardioangiologica, vol. 54, no. 2, pp. 229–239, 2006.
View at: Google Scholar
H. Bian, “The relationship between liver fat content and insulin resistance and beta cell function in individuals with different status of glucose metabolism,” EASD Abstract, vol. 2010, article 602, 2010.
View at: Google Scholar
J. B. Dixon, P. S. Bhathal, and P. E. O'Brien, “Weight loss and non-alcoholic fatty liver disease: falls in gamma-glutamyl transferase concentrations are associated with histologic improvement,” Obesity Surgery, vol. 16, no. 10, pp. 1278–1286, 2006.
View at: Publisher Site | Google Scholar
M. Fujita, K. Ueno, and A. Hata, “Association of gamma-glutamyltransferase with incidence of type 2 diabetes in Japan,” Experimental Biology and Medicine, vol. 235, no. 3, pp. 335–341, 2010.
View at: Publisher Site | Google Scholar
N. Sattar, A. McConnachie, I. Ford et al., “Serial metabolic measurements and conversion to type 2 diabetes in the West of Scotland Coronary Prevention Study: specific elevations in alanine aminotransferase and triglycerides suggest hepatic fat accumulation as a potential contributing factor,” Diabetes, vol. 56, no. 4, pp. 984–991, 2007.
View at: Publisher Site | Google Scholar
G. N. Ioannou, N. S. Weiss, E. J. Boyko, D. Mozaffarian, and S. P. Lee, “Elevated serum alanine aminotransferase activity and calculated risk of coronary heart disease in the United States,” Hepatology, vol. 43, no. 5, pp. 1145–1151, 2006.
View at: Publisher Site | Google Scholar
D. S. Lee, J. C. Evans, S. J. Robins et al., “Gamma glutamyl transferase and metabolic syndrome, cardiovascular disease, and mortality risk: the Framingham Heart Study,” Arteriosclerosis, Thrombosis, and Vascular Biology, vol. 27, no. 1, pp. 127–133, 2007.
View at: Publisher Site | Google Scholar
F. H. Nielsen, “Magnesium, inflammation, and obesity in chronic disease,” Nutrition Reviews, vol. 68, no. 6, pp. 333–340, 2010.
View at: Publisher Site | Google Scholar
H. Rodríguez-Hernández, J. L. Gonzalez, M. Rodríguez-Morán, and F. Guerrero-Romero, “Hypomagnesemia, insulin resistance, and non-alcoholic steatohepatitis in obese subjects,” Archives of Medical Research, vol. 36, no. 4, pp. 362–366, 2005.
View at: Publisher Site | Google Scholar
H. E. Johansson, B. Zethelius, M. Öhrvall, M. Sundbom, and A. Haenni, “Serum magnesium status after gastric bypass surgery in obesity,” Obesity Surgery, vol. 19, no. 9, pp. 1250–1255, 2009.
View at: Publisher Site | Google Scholar
F. M. H. Van Dielen, W. A. Buurman, M. Hadfoune, J. Nijhuis, and J. W. Greve, “Macrophage inhibitory factor, plasminogen activator inhibitor-1, other acute phase proteins, and inflammatory mediators normalize as a result of weight loss in morbidly obese subjects treated with gastric restrictive surgery,” Journal of Clinical Endocrinology and Metabolism, vol. 89, no. 8, pp. 4062–4068, 2004.
View at: Publisher Site | Google Scholar
B. Zethelius, L. Berglund, J. Sundström et al., “Use of multiple biomarkers to improve the prediction of death from cardiovascular causes,” The New England Journal of Medicine, vol. 358, no. 20, pp. 2107–2116, 2008.
View at: Publisher Site | Google Scholar
A. Westergren, “Diagnostic tests: the erythrocyte sedimentation rate range and limitations of the technique,” Triangle, vol. 3, no. 1, pp. 20–25, 1957.
View at: Google Scholar
M. Shteinshnaider, D. Almoznino-Sarafian, I. Tzur, S. Berman, N. Cohen, and O. Gorelik, “Shortened erythrocyte sedimentation rate evaluation is applicable to hospitalised patients,” European Journal of Internal Medicine, vol. 21, no. 3, pp. 226–229, 2010.
View at: Publisher Site | Google Scholar
C. Gabay and I. Kushner, “Acute-phase proteins and other systemic responses to inflammation,” The New England Journal of Medicine, vol. 340, no. 6, pp. 448–454, 1999.
View at: Publisher Site | Google Scholar
G. Targher, M. Chonchol, L. Miele, G. Zoppini, I. Pichiri, and M. Muggeo, “Nonalcoholic fatty liver disease as a contributor to hypercoagulation and thrombophilia in the metabolic syndrome,” Seminars in Thrombosis and Hemostasis, vol. 35, no. 3, pp. 277–287, 2009.
View at: Publisher Site | Google Scholar
M. Koruk, S. Tayşi, M. C. Savaş, Ö. Yilmaz, F. Akçay, and M. Karakök, “Serum levels of acute phase proteins in patients with nonalcoholic steatohepatitis,” Turkish Journal of Gastroenterology, vol. 14, no. 1, pp. 12–17, 2003.
View at: Google Scholar
G. Targher, L. Bertolini, S. Rodella et al., “NASH predicts plasma inflammatory biomarkers independently of visceral fat in men,” Obesity, vol. 16, no. 6, pp. 1394–1399, 2008.
View at: Publisher Site | Google Scholar
D. Samocha-Bonet, D. Lichtenberg, A. Tomer et al., “Enhanced erythrocyte adhesiveness/aggregation in obesity corresponds to low-grade inflammation,” Obesity Research, vol. 11, no. 3, pp. 403–407, 2003.
View at: Google Scholar
D. C. Nieman, S. I. Nehlsen-Cannarella, D. A. Henson et al., “Immune response to obesity and moderate weight loss,” International Journal of Obesity and Related Metabolic Disorders, vol. 20, pp. 353–360, 1996.
View at: Google Scholar
D. C. Nieman, D. A. Henson, S. L. Nehlsen-Cannarella et al., “Influence of obesity on immune function,” Journal of the American Dietetic Association, vol. 99, no. 3, pp. 294–299, 1999.
View at: Publisher Site | Google Scholar
Y. J. Lee, H. R. Lee, J. Y. Shim, B. S. Moon, J. H. Lee, and J. K. Kim, “Relationship between white blood cell count and nonalcoholic fatty liver disease,” Digestive and Liver Disease, vol. 42, no. 12, pp. 888–894, 2010.
View at: Publisher Site | Google Scholar

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Copyright © 2011 Hans-Erik Johansson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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