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Clinical Chemistry 49: 440-449, 2003; 10.1373/49.3.440
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(Clinical Chemistry. 2003;49:440-449.)
© 2003 American Association for Clinical Chemistry, Inc.

Use of Capillary Zone Electrophoresis for Differentiating Excessive from Moderate Alcohol Consumption

Franz J. Legros1a, Vincent Nuyens1, Michel Baudoux2, Karim Zouaoui Boudjeltia1, Jean-Luc Ruelle3, Jacques Colicis3, Francis Cantraine4 and Jean-Pol Henry2

1 Laboratory of Experimental Medicine and
2 Department of Gastroenterology, Université Libre de Bruxelles and CHU André Vésale, 706 route de Gozée, 6110 Montigny-le-Tilleul, Belgium.

3 Laboratory of Clinical Chemistry, CHU André Vésale, 706 route de Gozée, 6110 Montigny-le-Tilleul, Belgium.

4 Department of Computer Science, Université Libre de Bruxelles, School of Medicine, 808 route de Lennik, 1070 Brussels, Belgium.

aAuthor for correspondence. Fax 32-71-92-47-10; e-mail franz.legros{at}chu-charleroi.be.


   Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Background: The poorly sialylated transferrin isoforms in serum were analyzed by capillary zone electrophoresis (CZE) to differentiate moderate from heavy alcohol consumption.

Methods: We enrolled 614 volunteers, classified after interviews, self-reported drinking habits, and AUDIT scores as alcohol abusers (consuming >50 g/day ethanol for the previous 3 months or longer; n = 413) or moderate drinkers (<30 g/day ethanol; n = 201). Serum transferrin isoforms were separated at 28 kV and monitored at 214 nm on a P/ACE 5500 CZE with use of fused-silica capillaries and the related CEofix CDT reagent set. Immunosubtraction by anti-human transferrin and electrophoretic migration times identified the isoforms. Previous markers of alcohol abuse and an assay combining anion-exchange minicolumn chromatography with immunoturbidimetry (%CDT) were included in the study. Sensitivities and specificities were compared by ROC analysis.

Results: The asialylated isoform was missing in 95% of moderate drinkers but present in 92% of alcohol misusers. Disialotransferrin had a specificity and sensitivity of 0.75 at a cutoff of 0.7% of total transferrin, whereas the sum (asialo- + disialotransferrin) at a threshold of 1.2% had a sensitivity of 0.73 and a specificity of 0.92. Trisialotransferrin values did not distinguish between the two populations. Sensitivities and specificities of %CDT averaged 0.77 and 0.74, respectively, at a 2.6% cutoff; 0.67 and 0.83 at 2.8%; and 0.63 and 0.90 at 3%. CDT data were more sensitive and specific for males. Conventional biomarkers appeared less discriminating.

Conclusions: Asialotransferrin detected by CZE in sera of alcohol abusers offers the highest discrimination between excessive and moderate drinking.


   Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Carbohydrate-deficient transferrin (CDT)1 in serum has emerged as a useful biomarker for identifying alcohol misuse (1)(2). Whatever the method used for CDT detection, a huge requisite is its precision and accuracy because test results for alcohol abuse can lead to serious health, social, and forensic consequences.

In a previous report, we described the potential convenience of one asialylated transferrin (Tf) isoform to distinguish between two highly contrasting groups, namely, alcohol abusers entering a withdrawal treatment program and teetotalers (3). Analysis by capillary zone electrophoresis (CZE) and by ROC curves clearly indicated that the absence of this isoform was associated with abstinence. On the other hand, asialo-Tf was found in 89% of alcohol abusers in withdrawal treatment centers.

It is unlikely that such increased sensitivities and specificities would be obtained for the clinical application of this CZE method to broad populations in general hospitals. Clinical usefulness thus had to be confirmed by testing this potential biomarker in patients with alcohol-related or non-alcohol-related health disorders, previously analyzed by clinical tools currently in the hands of practitioners, from interview to laboratory assays.

The present report aimed at evaluating alcohol consumption by the same method in two populations, matched for age and sex: (a) individuals who consumed moderate amounts of alcohol and (b) individuals suffering alcohol-related disease. Study participants included alcohol abusers, who claimed a consumption of >50 g/day ethanol for at least the previous 3 months, and occasional (social, moderate) drinkers self-reporting a mean daily ethanol intake <30 g. Healthy teetotalers were excluded because they had been tested in a previous study (3). Asialo- and disialo-Tf concentrations measured by CZE were compared with the conventional biomarkers of alcohol abuse (4) and with separation of CDT by ion-exchange minicolumn chromatography (5). The sensitivities and specificities at the cutoffs for Tf isoforms obtained by CZE were estimated for men and women.


   Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
CZE was conducted with a Analis reagent set (CEofix CDT Kit for P/ACE 5000 series) on a Beckman Coulter P/ACE System 5500 equipped with an ultraviolet detector and an interference filter at 214 nm. Uncoated fused-silica capillaries [57 cm x 50 µm (i.d.)] were obtained from Analis. CDT was detected by anion-exchange chromatography–immunoturbidimetry using the Axis-Shield %CDT reagent set. Human Tf polyclonal antiserum was purchased from Dako. Reagent sets for {gamma}-glutamyltransferase ({gamma}GT) and aspartate aminotransferase (AST) activities were provided by Beckman Coulter. Mean corpuscular volume (MCV) was determined on a Cell-Dyn 4000 from Abbott. A Beckman Coulter Synchron LX20 was used for colorimetric reactions. Immunoturbidimetry was performed with a Immage immunonephelometer (Beckman Coulter). ROC analyses were performed with Analyze-it Software, Ver. 1.6.

patient selection
After informed consent, we enrolled 614 individuals who self-reported alcohol consumption. Participants were consecutively recruited by the medical staff from January to December 2001 among in- and outpatients (ratio 1:1) of the five public general hospitals of the Intercommunale de Santé Publique du Pays de Charleroi (Table 1 ). This study was approved by the Institutional Ethical Committee.


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Table 1. Demographics of the two populations.

Alcohol intake was monitored by structured interviews, self-reported drinking habits, and the AUDIT questionnaire (6). Patients claiming an alcohol consumption >50 g/day for at least the previous 3 months and with an AUDIT score >11 were enrolled as alcohol abusers (n = 413). All members of this group expressed alcohol-related complaints.

Individuals with a self-reported alcohol consumption <30 g/day during the same period and an AUDIT score <7 were enrolled as moderate drinkers (n = 201). Metabolic, gastrointestinal, cardiovascular, and pulmonary problems were not excluded in this group, provided they were not alcohol-related or severely worsened by alcohol consumption.

Data collection on alcoholism diagnosis was blinded to the results of the analyses, and vice versa.

serum sampling
Blood samples were collected by venipuncture in Vacutainer serum tubes. Serum was obtained by centrifugation within 6 h of sampling and stored at -30 °C. All samples were analyzed by CZE within 1 week. MCV was measured after <4 h.

conventional biomarkers
Enzyme markers ({gamma}GT and AST), MCV, and C-reactive protein (CRP) were measured according to IFCC methods (7).

detection of %CDT in human serum
After serum was filtered through anion-exchange minicolumns, the ratio of desialylated (0–2 sialic acid residues/molecule) isoforms to total Tf was determined by immunoturbidimetric assay with the %CDT reagent set according to the manufacturer’s instructions.

cze
CZE was performed according to a recently described method (3). A reagent set for detection of Tf isoforms in diagnosis of alcoholism (CEofix CDT Kit) was used with the same modifications as described in our previous report (3).

Serum samples were diluted 1:1 (by volume) with a 1 g/L FeCl3 solution for at least 3 min to saturate Tf iron-binding sites. The capillary was coated by "dynamic double coating" described elsewhere (8)(9), to obtain stable electro-endosmosis and to avoid partial protein denaturation at the capillary surface. Double coating steps were as follows: (a) Malic acid buffer, pH 4.8, was injected under high pressure (20 psi) for 1 min. (b) The separation buffer, Tris-borate (pH 8.5), was injected for 1.5 s under high pressure (20 psi) and then under low pressure (0.5 psi) for 0.5 min. This latter procedure was omitted when the reagent set recommended by the manufacturer was used. (c) Before serum sample injection, a 10 g/L solution of sodium dodecyl sulfate was injected for 2 s at low pressure (0.5 psi) to keep ß-lipoprotein peaks out of the peak domain of interest. This operation was not mentioned in the manufacturer’s guide because sodium dodecyl sulfate is included in the FeCl3 solution of the reagent set. (d) Sera were then injected for 2 s at low pressure (0.5 psi).

A voltage of 28 kV was applied for 7 min. The Tf isoforms were detected by absorbance at 214 nm, as described by Blessum et al. (10), rather than at 200 nm, as recommended by the manufacturer. This modification was important because at 200 nm the ratio of noise to signal was higher, as reported by the same authors (10).

The peaks representing the different Tf isoforms, identified in our previous report (3), were quantified as a percentage of the total Tf content in terms of valley-to-valley area under the curve (AUC) because all were well separated. Results were printed on an electropherogram after treatment by integration software from Beckman Coulter. The ratios of the asialo-, disialo-, and trisialo-Tf peak areas to the cumulative area of the peaks of all Tf isoforms were calculated by this software. The migration times (MTs) of the isoforms were compared.

It has previously been demonstrated that the detection limit for asialo-Tf was 0.03% of total Tf (3). The mean interrun CVs for the "low" asialo-Tf (<1% total Tf AUC) and "high" (>1%) data were 7.4% and 4.6%, respectively. CVs were also <8% for disialo-Tf and for (asialo- + disialo-Tf). The within-run CVs were 2.5% for disialo-Tf and 4.5% for asialo-Tf.

validation of TF isoforms
Anti-human Tf rabbit antiserum was diluted 1:3 in serum samples after a first CZE analysis of undiluted serum. The electropherograms obtained before and after immunosubtraction were compared. The 1:3 dilution of anti-Tf was selected to maintain a remnant of P4, which helped in the comparison of electropherograms of native and immunoprecipitated sera (Fig. 1 ).



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Figure 1. Comparison between Tf CZE electropherograms of a social drinker (SD), an alcohol abuser (AA), and an individual with a genetic polymorphism involving trisialo-Tf (Variant).

In all three cases, anti-Tf polyclonal antibody (Anti-TF) was added after the first analysis. The x axis is the CZE migration time (min). P0, asialo-Tf; P2, disialo-Tf; P3, trisialo-Tf; P4, tetrasialo-Tf; P5, pentasialo-Tf; P6, hexasialo-Tf.

identification of the isoforms
Isoforms were further identified by comparing their MTs with those previously described for alcohol abusers entering a withdrawal treatment and teetotalers (3).

statistics
Values for all biomarkers were available for all patients involved in the study. The asymmetry of the ranges of all biomarker values ({gamma}GT, AST, MCV, %CDT, and percentage of desialylated isoforms detected by CZE) measured in these broad and unfit populations was normalized with use of a natural logarithmic scale, as recommended (3)(11) when diagnostic methods for linear statistical models are used (12). Sample values were compared by the nonparametric Wilcoxon test. Geometric means and SDs were calculated, leading to asymmetrical 95% confidence intervals (CIs). The range of each biomarker was also shown.

Results from the %CDT assay were compared using the 2.6% cutoff, as recommended by the manufacturer and according to Helander and coworkers (5)(13). Three cutoff values were taken into account for this minicolumn anion-exchange chromatography–immunoturbidimetry method: 2.6%, 2.8%, and 3% of total Tf.

ROC curves (14) for 413 alcohol abusers and 201 moderate drinkers, matched for age and sex, were constructed for comparing the sensitivity and specificity of the markers. Results were expressed as the mean area under the ROC curve (ROCarea) and its 95% CI (14)(15). Cutoffs for asialo-Tf, disialo-Tf, and of the sum (asialo- + disialo-Tf) were selected from the curves. Gender variations were compared by ROC curve analysis of female (n = 205) and male (n = 409) participants, using the cutoffs defined on the whole population.


   Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
conventional biomarkers
Mean values for the enzyme biomarkers were above the reference intervals in the sera of alcohol heavy drinkers (Table 2 ). A significant enhancement of mean {gamma}GT activity was induced by an ethanol intake >50 g/day, compared with an ethanol intake <30 g/day. The mean transaminase activities were also significantly different. Mean MCVs were both <100 fL but were statistically different, and the range was wider for alcoholics (Table 2 ).


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Table 2. Values measured in alcohol abusers and moderate drinkers.

analysis of the electropherograms
Typical electrophoretic profiles obtained from sera of a social drinker (AUDIT score = 3) and an alcohol abuser (AUDIT score = 24) are shown in Fig. 1Up . The electropherogram baselines were horizontal and smooth, and the peaks were well separated. In Fig. 1Up , the typical scale of the y axis was 0.00. When a serum containing 2.5 g/L Tf was subjected to CZE with a 2 s injection (2.2 µL), the absorbance of the 80% predominant middle peak was 0.014 arbitrary units.

Six peaks, previously identified as asialo- to hexasialo-Tf (3), were observed in the serum from the alcohol abuser. A predominant middle peak with a MT averaging 6 min was present in the sera from both individuals (Fig. 1Up ). The serum from the alcohol abuser contained three earlier migrating peaks. Two peaks were present only in the serum from the occasional drinker (Fig. 1Up ). Those peaks have previously been differentiated as asialo-, disialo-, trisialo-, tetrasialo-, pentasialo-, and hexasialo-Tf and termed P0, P2, P3, P4, P5, and P6 (3). The peak between asialo- and disialo-Tf, which was immunologically confirmed to represent comigration of a Tf isoform and CRP (3), was not present in the sera of the two patients in Fig. 1Up . The CRP concentrations were low in these two individuals: 1 mg/L in the alcohol abuser and 0.3 mg/L in the moderate drinker (upper limit of the reference interval is 10 mg/L). This P1 peak was found in other patients who were moderate or heavy drinkers with circulating CRP concentrations >10 mg/L.

No peak migrating as P0 was observed in the electropherogram of the social drinker. Peak P2 was higher in the serum from the alcohol abuser than in serum from the moderate drinker. All peaks disappeared after the addition of anti-Tf except a remnant of tetrasialo-Tf (Fig. 1Up ). Electropherograms obtained after addition of the polyclonal antiserum exhibited a baseline drift (Fig. 1Up ). When the electropherogram was recorded continuously for more than 7 min, this drift was observed only after the addition of anti-Tf and was preceded by a broad bell-shaped increase in the baseline value (Fig. 2 ).



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Figure 2. CZE spectrum of the serum sample of an alcohol abuser (AA) analyzed on a P/ACE 5500 with the CEofix CDT reagent set.

Electropherogram was recorded over 7 min. After the first analysis, an anti-human Tf polyclonal serum (Anti-Tf), diluted 1:3, was added and a second analysis was performed. The y axis is the relative absorbance. The x axis is the time of recording (min). Dashed box surrounds the zone showing CZE Tf isoforms.

MTS of the isoforms in the two populations
Each peak could be statistically differentiated from the others, based on retention times. The MTs of the same peaks were statistically identical in the two populations, averaging 5.5 min for P0, 5.8 min for P2, and 5.9 min for P3. Their CVs averaged 1–1.5%. The MTs of each peak were statistically similar to those for P0 to P6 observed in teetotalers and alcohol abusers entering a withdrawal treatment (3).

quantification of TF isoforms by capillary electrophoresis
Alcohol abusers were almost the sole individuals exhibiting asialo-Tf. Disialo-Tf was significantly (P <0.001) more increased in the sera of alcohol abusers. The same result was obtained for the sum (asialo + disialo-Tf) (Table 3 ). The AUC for trisialo-Tf was statistically identical in alcohol abusers and social drinkers, and the ratio disialo-/trisialo-Tf was higher in alcohol abusers.


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Table 3. Relative percentages of CDT and the CZE Tf isoforms.

Genetic polymorphisms involving a trisialo-Tf value almost equivalent to the tetrasialo-Tf value were limited to nine individuals (Fig. 1Up ), and concentrations of this isoform >9% (mean ± 2 SD) of total Tf were observed in 39 patients. The electropherogram for serum from a moderate alcohol consumer, designated as "Variant", exhibited disialo- and tetrasialo- to hexasialo-Tf retention times similar to the ones obtained for sera from teetotalers or alcohol users. The high trisialo-Tf peak of the variant, immunosubtractable by anti-human Tf polyclonal antibody, had a longer MT than in the other series. All isoforms were as clearly separated as in the sera of other participants regardless of their alcohol habits (Fig. 1Up ).

%CDT minicolumn immunoassay
The %CDT values were significantly increased in alcohol misusers compared with occasional drinkers. The ranges and 95% CI were narrow for moderate drinkers and wider for alcohol misusers (Table 3Up ).

roc curve analysis
ROC curves obtained for {gamma}GT, AST, and MCV of 614 patients are shown in Fig. 3 . The low discriminating power of these markers is apparent (Table 4 ) at the cutoffs used in the Laboratory of Clinical Chemistry of the ISPPC general hospitals (Table 2Up ).



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Figure 3. ROC curve analysis for AST, {gamma} GT, and MCV distributions.

The y axis is the sensitivity, and the x axis is (1 - specificity). {diamond}, {gamma} GT; {square}, AST; {triangleup}, MCV. Arrows indicate the cutoffs for the different biomarkers on their respective curves.


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Table 4. Analysis of ROC curves for Tf isoforms, %CDT, and conventional markers in 614 sex-matched patients in general hospitals.

The ROC analysis based on CZE data for the greater ROC curve area obtained with relative asialo-Tf percentages compared with disialo-Tf and the sum (asialo- + disialo-Tf) is shown in Fig. 4 . The absence of asialo-Tf in 95% of moderate drinkers and its presence in 92% of alcohol abusers are illustrated in Table 4Up . Sensitivity and specificity were both limited to 0.75 for a disialo-Tf cutoff of 0.7% of total Tf. Better results were obtained for a 1.2% cutoff of the sum (asialo- + disialo-Tf). Trisialo-Tf only poorly distinguished the groups (Table 4Up ).



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Figure 4. ROC curve analysis of the relative percentages of the Tf asialylated isoform (0-sialo; {diamond}), disialylated Tf (2-sialo; {square}), and the sum asialo- + disialo-Tf (0+2-sialo; {triangleup}) obtained by CZE.

The y axis is the sensitivity, and the x axis is (1 - specificity). Arrows indicate the cutoffs for the different biomarkers on their respective curves.

As shown in Fig. 5 , the ROC curve area for %CDT was clearly lower than that for asialo-Tf values obtained by CZE. At the 2.6% cutoff recommended by Axis-Shield, sensitivity and specificity of the %CDT assay averaged 0.75 (Table 4Up ). At the threshold values of 2.8% and 3%, the specificity of the assay was 0.90, but its sensitivity decreased to 0.6, as predicted by Whitfield (16) and by previous odds ratios estimated from metaanalysis of CDT studies (17).



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Figure 5. ROC curve analysis of the relative percentages of the Tf asialylated isoform ({square}), obtained by CZE, and of the %CDT assay ({diamond}).

The y axis is the sensitivity, and the x axis is (1 - specificity). Arrows indicate the cutoffs for the different biomarkers on their respective curves.

cdt gender variations
Areas under ROC curves were greater in men than in women (Table 5 ). Sensitivity and specificity were higher in men for %CDT as well as for CZE isoforms. Gender areas under ROC curves for %CDT assay were similar to those observed by Sillanaukee and Olsson (11).


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Table 5. Gender variations of ROC curves for men and women.1


   Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Individuals enrolled in the present study were hospitalized or visited the hospital for different health complaints. They all consumed alcohol, either moderately or in excess (Table 1Up ). Interviews, self-reported alcohol habits, and AUDIT questionnaires determined their alcohol consumption and allowed definition of the range of their ethanol intake. Mean {gamma}GT and AST activities were widely dispersed in both populations (Table 2Up ), confirming health problems.

Characterization and identification of the various Tf isoforms visualized in the electropherograms have recently been performed in alcohol abusers entering a withdrawal program and in teetotalers (3). Use of an anti-human Tf polyclonal antibody confirmed that six peaks obtained from sera of alcoholics were immunoreactive Tf isoforms (Fig. 1Up ). Five peaks were observed in moderate drinkers, as shown previously in teetotalers (3). The predominant human iso-Tf is known to be tetrasialylated (1)(2)(3). The corresponding signal (tetrasialo-Tf) was found in all electropherograms (Fig. 1Up ). On the basis of the physicochemical features governing CZE (10), less sialylated isoforms migrated earlier and more sialylated ones later.

A high disialo-Tf concentration has been associated with the presence of asialo-Tf in excessive drinking, as measured by HPLC (18). The peaks migrating at 5.5 and 5.8 min in the sera of alcohol abusers (Fig. 1Up ) found in our study should represent asialylated and disialylated Tf isoforms, respectively. The P0 peak (MT, 5.5 min) was almost solely encountered in the sera of alcohol abusers. Peak P2 (MT, 5.8 min) was higher (Fig. 1Up ), and the AUC percentage was higher (Table 3Up ) in alcohol abusers than in moderate drinkers. When present, monosialo-Tf was not taken into account because it represented comigrating monosialo-Tf and CRP (3). Relative trisialo-Tf percentages were similar in the two populations (Table 3Up ), as they were in our study comparing alcohol abusers with teetotalers (3). Only 6% of the 614 individuals under study had a trisialo-Tf concentration >9% of total Tf, and genetic polymorphisms involving similar concentrations of trisialo- and tetrasialo-Tf accounted for 2%.

The identification of the isoforms was supported by their immunoprecipitation with anti-Tf (Figs. 1Up and 2Up ), and by retention times identical to those of alcoholics and teetotalers (3). The baselines of the native serum electropherograms were smooth and horizontal, whereas those obtained after addition of the polyclonal antibody had a drift that may be attributable to the addition of immunoglobulins migrating just before the Tf isoforms and seen as a broad increase in the CZE baseline before the drifting (Fig. 2Up ). All isoforms were clearly separated in undiluted sera [Figs. 1Up and 2Up and Ref. (3)]. This feature allowed us to calculate the relative percentages of the isoforms in the valley-to-valley mode.

ROC curves are known to provide a graphic illustration of the association between specificity and sensitivity of any diagnostic test over all possible cutoff values (14). Conventional markers appeared to have low sensitivities and specificities (Fig. 3Up and Table 4Up ). In the present study, {gamma}GT appeared to be a poor marker for distinguishing the groups (Table 4Up ), which is in accordance with results from previous studies (19). AST provided almost no discriminating power. MCV had a high specificity but a low sensitivity (Table 4Up ), as described previously (20).

We found asialo-Tf in serum from 10 of the 201 moderate drinkers in the present study (5% false positives), whereas this isoform was present in serum from 370 of 413 alcohol abusers (92% true positives). The sensitivities and specificities of CZE for disialo-Tf and of the sum (asialo- + disialo-Tf) were lower (Fig. 4Up and Table 4Up ).

Asialo-Tf has been defined as the native Tf amino acid sequence (2)(13)(21). Lectin binding to glycan chains devoid of sialic acid helped to identify an asialylated isoform in sera of alcoholics (22)(23). We have defined asialo-Tf as the sole CZE form kinetically unaffected by enzymatic treatment with neuraminidase (3). These results allowed us to presume that the earliest migrating form in our electropherograms did not contain any sialic acid on the N-glycan chain(s), but it did not permit us to claim that it was devoid of glycan chain(s). Disialo-Tf has been depicted as a disialylated isoform containing one N-glycan chain (13)(21). A more detailed analysis would be needed, using neuraminidase and N-glycosidase and applying mass spectrometry (24), to highlight glycosylation of the CDT isoforms.

Our CZE method using asialo-Tf as a biomarker of alcohol abuse favorably compared with separation of the CDT fraction by ion-exchange chromatography on minicolumns and quantification by immunoassay (Fig. 5Up and Tables 4Up and 5Up ). The %CDT measured immunologically after separation through minicolumns was higher than the sum (asialo- + disialo-Tf) obtained by CZE. This discrepancy might be explained by a more accurate isolation of the desialylated isoforms by CZE. Partial coelution of trisialo-Fe2-transferrin in the desialylated fraction harvested on minicolumns and partial retention of disialo-Fe2-transferrin have been described (25)(26). We agree with the previous claim that isolation of the individual Tf isoforms is more accurate than en masse separation of desialylated forms using minicolumns (3)(13)(18)(27).

Concerning the controversy surrounding involvement of trisialo-Tf in CDT isoforms (15)(28)(29)(30)(31)(32)(33)(34)(35), the low area under the ROC curve for trisialo-Tf (Table 4Up ) confirmed that it would not be convenient for the determination of the desialylated isoforms. Our data demonstrated that increased relative concentrations of disialo- and asialo-Tf attributable to excessive consumption of alcohol were not associated with increased trisialo-Tf (Table 3Up ).

When results obtained by analyzing sera of teetotalers and alcoholics entering a withdrawal program (3) were compared with the present data involving inpatients and outpatients from general hospitals, all of whom consumed ethanol moderately or excessively, asialo-Tf sensitivity increased from 0.89 to 0.92, whereas the specificity decreased from 1 to 0.95. The discriminating power of disialo-Tf was dramatically decreased. For the sum (asialo- + disialo-Tf), the specificity of 0.9 came at the expense of a sensitivity decrease from 0.84 to 0.75. Asialo-Tf appeared the most powerful marker for differentiating heavy from moderate alcohol consumption (Figs. 4Up and 5Up and Tables 4Up and 5Up ). Thus our preliminary (3) and the present study gave experimental confirmation of the use of asialo-Tf as a marker of alcohol abuse, as proposed by Arndt (36). However, more data are needed before CDT can be replaced by asialo-Tf.

The patients recruited in the present study did not fill the 30–50 g/day gap separating moderate from heavy alcohol consumption. It has been claimed that CDT may have a place in monitoring alcohol consumption, even in men whose alcohol intake is in the 20–60 g/day range (37). Combining the results for asialo-Tf and the sum (asialo- + disialo-Tf) obtained by CZE with self-reported alcohol habits and assessment of alcohol intake by accurate questionnaires (15) and validated structured interviews (27) might reduce confusion and errors in the evaluation of excessive drinking.

The present results confirmed observations concerning hospital setting conditions, in which CDT appeared markedly more specific than conventional markers, especially {gamma}GT (38). The abundance of individuals with health complaints in the present study reinforced this assessment.

Sensitivity and specificity were lower in the female groups of excessive and moderate drinkers for both %CDT and CZE at cutoffs defined on sex-matched populations (Table 5Up ). This gender variation has been recently demonstrated for %CDT (5)(39) and agrees with the most recent WHO/ISBRA assessment that CDT is a slightly but significantly better marker of high-risk consumption in men (40).

Turpeinen et al. (27) recently reported a 1.8% cutoff for HPLC analysis of disialo-Tf. At this threshold, the authors reported a sensitivity of 52% and a specificity of 98% for differentiation between moderate and heavy drinkers, and the area under the ROC curve was 0.87 (95% CI, 0.81–0.93). In our CZE study, the area under the ROC curve for disialo-Tf was 0.80 (95% CI, 0.76–0.83), and the sensitivity and specificity for discriminating excessive from moderate alcohol consumers were both 75% (Table 4Up ).

This discrepancy may be attributed in part to the partial overlapping of disialo- and trisialo-Tf observed in HPLC methods when asialo-Tf is present (27)(41), whereas these isoforms were well separated by our CZE method (Fig. 1Up ). This discrepancy can also be attributable to incomplete recovery of CDT after sample pretreatment. Integration in the horizontal baseline mode was rather risky when two peaks, one decisive in the determination of CDT (disialo-Tf) and one not useful for the diagnosis of alcoholism (trisialo-Tf), overlapped. The reliability of CZE for quantification of CDT isoforms likely rests on the complete isolation of disialo-Tf [Fig. 1Up and Ref. (3)]. This hypothesis is supported by the high, probably overestimated, HPLC cutoff for the disialo-Tf percentage [1.8% (27)] compared with the 0.7% obtained by our CZE method.

The separation and identification of the Tf isoforms by HPLC and CZE raise the question: what do we respectively measure? Are the molecules behind the peaks we observe different? Characterization of the isoforms separated by HPLC and CZE, using lectins (22)(23), neuraminidase (3), or N- and O-glycosidases alone (3)(21) or added in succession should allow us to progress in the definition of standards requested for CDT (2).

In conclusion, concerning the use of the CZE Tf electropherograms in clinical conditions, we suggest a rapid (<10 min) analysis of the asialo-Tf isoform, which will be present in 92% of alcohol abusers and absent in 95% of moderate alcohol consumers (Table 4Up ). Some questions and possibilities behind using asialo-Tf as a clearly defined analyte for laboratory diagnosis of chronic alcohol abuse have been discussed earlier (36). They remain open, as does establishing reliable cutoffs for men and women. Some progress has to be made concerning the precision of qualitative and quantitative evaluations of desialylated Tf isoforms. Comigration of CRP and the monosialo-Tf form (3) forced us to discard this desialylated form from CDT evaluation because of the frequency of inflammatory reactions that could induce CRP. It has been shown that there was no correlation between CDT and free hemoglobin as a measure of hemolysis (42). We are now conducting a study on possible interference between Tf sialylation and the chronic major pathologies designated by the World Health Organization as other main health challenges for the 21st century, namely cancer and cardiovascular diseases. Interferences in assays by the serum molecules involved in major diseases, such as bilirubin in liver dysfunction or carcinoembryonic cancer markers, should be carefully studied.


   Acknowledgments
 
This work was supported by a grant from the Intercommunale de Santé Publique du Pays de Charleroi, which involves several Hospital University Centers of Charleroi County. Vincent Nuyens and Karim Zouaoui Boudjeltia are fellows from this institution. We thank Dr. Philippe Emonts for recruitment and clinical follow-up of alcoholics. We acknowledge François de l’Escaille for help in statistical studies. We express our gratitude to Eddy Minet for assistance in CZE. We thank Mireille Roels for skillful assistance with the immunoturbidimetric CDT assay and Liliane Kukolja for collection, registration, and follow-up of patients’ files.


   Footnotes
 
1 Nonstandard abbreviations: CDT, carbohydrate-deficient transferrin; Tf, transferrin; CZE, capillary zone electrophoresis; {gamma}GT, {gamma}-glutamyltransferase; AST, aspartate aminotransferase; MCV, mean corpuscular volume; CRP, C-reactive protein; AUC, area under the curve; MT, migration time; and CI, confidence interval.


   References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Stibler H. Carbohydrate-deficient transferrin in serum: a new marker of potentially harmful alcohol consumption reviewed. Clin Chem 1991;37:2029-2037.[Abstract/Free Full Text]
  2. Arndt T. Carbohydrate-deficient transferrin as a marker of chronic alcohol abuse: a critical review of preanalysis, analysis, and interpretation. Clin Chem 2001;47:13-27.[Abstract/Free Full Text]
  3. Legros FJ, Nuyens V, Minet E, Emonts P, Zouaoui Boudjeltia K, Courbe A, et al. Carbohydrate-deficient transferrin isoforms and detection of alcohol abuse by capillary zone electrophoresis. Clin Chem 2002;48:2177-2186.[Abstract/Free Full Text]
  4. Laposata M. Assessment of ethanol intake. Current tests and new assays on the horizon. Am J Clin Pathol 1999;112:443-450.[Web of Science][Medline] [Order article via Infotrieve]
  5. Helander A, Fors M, Zakrisson B. Study of Axis-Shield %CDT immunoassay for quantification of carbohydrate-deficient transferrin (CDT) in serum. Alcohol Alcohol 2001;36:406-412.[Abstract/Free Full Text]
  6. Saunders JB, Aasland OJ, Babor TF, de la Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II. Addiction 1993;88:791-804.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  7. Siekmann L, Bonora R, Burtis CA, Ceriotti F, Clerc-Renaud P, Ferard G, et al. IFCC primary reference procedures for the measurement of catalytic activity concentrations of enzymes at 37 degrees C. International Federation of Clinical Chemistry and Laboratory Medicine. Part 7. Certification of four reference materials for the determination of enzymatic activity of {gamma}-glutamyltransferase, lactate dehydrogenase, alanine aminotransferase and creatine kinase accord. Clin Chem Lab Med 2002;40:739-745.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  8. Wuyts B, Delanghe JR, Kasvosve I, Wauters A, Neels H, Janssens J. Determination of carbohydrate-deficient transferrin using capillary zone electrophoresis. Clin Chem 2001;47:247-255.[Abstract/Free Full Text]
  9. Janssens J, Chevigne R, Louis P. Capillary electrophoresis method using initialized capillary and polyanion-containing buffer and chemical kit therefor. US Patent no. 5,611,903, 1997..
  10. Blessum C, Jeppsson JO, Aguzzi F, Bernon H, Bienvenu J. Capillary electrophoresis: principles and practice in clinical laboratory. Ann Biol Clin (Paris) 1999;57:643-657.
  11. Sillanaukee P, Olsson U. Improved diagnostic classification of alcohol abusers by combining carbohydrate-deficient transferrin and {gamma}-glutamyltransferase. Clin Chem 2001;47:681-685.[Abstract/Free Full Text]
  12. Carroll RJ, Ruppert D. Applied multivariate statistical analysis, 3rd ed 1992:27 Prentice Hall Englewood Cliffs, NJ. .
  13. Helander A, Eriksson G, Stibler H, Jeppsson J-O. Interference of transferrin isoform types with carbohydrate-deficient transferrin quantification in the identification of alcohol abuse. Clin Chem 2001;47:1225-1233.[Abstract/Free Full Text]
  14. Swets JA. Measuring the accuracy of diagnostic systems. Science 1988;240:1285-1293.[Abstract/Free Full Text]
  15. Arndt T, Korzec A, Bar M, Kropf J. Further arguments against including trisialo-Fe2-transferrin in carbohydrate-deficient transferrin (CDT): a study on male alcoholics and hazardous drinkers. Med Sci Monit 2002;8:411-418.
  16. Whitfield JB. Transferrin isoform analysis for the diagnosis and management of hazardous or dependent drinking. Clin Chem 2002;48:2095-2096.[Free Full Text]
  17. Scouller K, Conigrave KM, Macaskill P, Irwig L, Whitfield JB. Should we use carbohydrate-deficient transferrin instead of {gamma}-glutamyltransferase for detecting problem drinkers? A systematic review and metaanalysis. Clin Chem 2000;46:1894-1902.[Abstract/Free Full Text]
  18. Jeppsson J-O, Kristensson H, Fimiani C. Carbohydrate-deficient transferrin quantified by HPLC to determine heavy consumption of alcohol. Clin Chem 1993;39:2115-2120.[Abstract]
  19. Salaspuro M. Carbohydrate-deficient transferrin as compared to other markers of alcoholism: a systematic review. Alcohol 1999;19:261-271.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  20. Reynaud M, Schellenberg F, Loiseux-Meunier MN, Schwan R, Maradeix B, Planche F, et al. Objective diagnosis of alcohol abuse: compared values of CDT, {gamma}-glutamyl transferase (GGT), and mean corpuscular volume (MCV). Alcohol Clin Exp Res 2000;24:1414-1419.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  21. Landberg E, Pählsson P, Lundblad A, Arnetrop A, Jeppsson J-A. Carbohydrate composition of serum transferrin isoforms from patients with high alcohol consumption. Biochem Biophys Res Commun 1995;210:267-274.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  22. Irie S, Minguell JJ, Tavassoli M. Comparison of desialylation of rat transferrin by cellular and non-cellular methods. Biochem J 1989;259:427-431.[Web of Science][Medline] [Order article via Infotrieve]
  23. Mo H, Van Damme EJ, Peumans WJ, Goldstein IJ. Purification and characterization of a mannose-specific lectin from shallot (Allium ascalonicum) bulbs. Arch Biochem Biophys 1993;306:431-438.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  24. Lacey JM, Bergen R, Magera MJ, Naylor S, O’Brien JF. Rapid determination of transferrin isoforms by immunoaffinity liquid chromatography and electrospray mass spectrometry. Clin Chem 2001;47:513-518.[Abstract/Free Full Text]
  25. Arndt T, Hackler R, Kleine TO, Gressner AM. Validation by isoelectric focusing of the anion-exchange isotransferrin fractionation step involved in determination of carbohydrate-deficient transferrin by the CDTect assay. Clin Chem 1998;44:27-34.[Abstract/Free Full Text]
  26. Hackler R, Arndt T, Helwig-Rolig A, Kropf J, Steinmetz A, Schaefer JR. Investigation by isoelectric focusing of the initial carbohydrate-deficient transferrin (CDT) and non-CDT transferrin isoform fractionation step involved in determination of CDT by the ChronAlcoI.D. assay. Clin Chem 2000;46:483-492.[Abstract/Free Full Text]
  27. Turpeinen U, Methuen T, Alfthan H, Laitinen K, Salaspuro M, Stenman UH. Comparison of HPLC and small column (CDTect) methods for disialotransferrin. Clin Chem 2001;47:1782-1787.[Abstract/Free Full Text]
  28. Heggli DE, Aurebekk A, Granum B, Westby C, Lovli T, Sundrehagen E. Should tri-sialo-transferrins be included when calculating carbohydrate-deficient transferrin for diagnosing elevated alcohol intake?. Alcohol Alcohol 1996;31:381-384.[Abstract/Free Full Text]
  29. Bean P, Husa A, Liegmann K, Sundrehagen E. Semi-automated carbohydrate-deficient transferrin in primary biliary cirrhosis: a pilot study. Alcohol Alcohol 1998;33:657-660.[Abstract/Free Full Text]
  30. Vittala K, Lähdesmäki K, Niemela O. Comparison of the Axis %CDT TIA and the CDTect method as laboratory tests of alcohol abuse. Clin Chem 1998;44:1209-1215.[Abstract/Free Full Text]
  31. Lipkowski M, Dibbelt I, Seyfarth M. Is there an analytical advantage from including trisialo transferrin into the fraction of carbohydrate-deficient transferrin? Lessons from a comparison of two commercial turbidimetric immunoassays with the carbohydrate-deficient transferrin determination by high performance liquid chromatography. Clin Biochem 2000;33:635-641.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  32. Dibbelt L. Does trisialo-transferrin provide valuable information for the laboratory diagnosis of chronically increased alcohol consumption by determination of carbohydrate-deficient transferrin?. Clin Chem 2000;46:1203-1205.[Free Full Text]
  33. Korzec A, Arndt T, Bär M, Koetler MWJ. Trisialo-Fe2-transferrin does not improve the diagnostic accuracy of carbohydrate-deficient transferrin as a marker of chronic excessive alcohol intake. J Lab Med 2001;25:407-410.
  34. Tagliaro F, Bortolotti F, Dorizzi RM, Marigo M. Caveats in carbohydrate-deficient transferrin determination [Letter]. Clin Chem 2002;48:208.[Free Full Text]
  35. Delanghe JR, Wuyts B, de Bruyzere ML. Caveats in carbohydrate-deficient transferrin determination [Reply]. Clin Chem 2002;48:208-209.
  36. Arndt T. Carbohydrate-deficient transferrin (CDT)—should this be replaced by asialo-Fe2-transferrin and thus standardized [Abstract]?. Alcohol Alcohol 1999;34:447.
  37. Burke V, Puddey IB, Rakic V, Swanson NR, Dimmitt SD, Beilin LJ, et al. Carbohydrate-deficient transferrin as a marker of change in alcohol intake in men drinking 20 to 60 g of alcohol per day. Alcohol Clin Exp Res 1998;22:1973-1980.[Web of Science][Medline] [Order article via Infotrieve]
  38. Babor TF, Steinberg K, Anton R, Del Boca F. Talk is cheap: measuring drinking outcomes in clinical trials. J Stud Alcohol 2000;1:55-63.
  39. Mundle G, Munkes J, Ackermann K, Mann K. Sex differences of carbohydrate-deficient transferrin, {gamma}-glutamyltransferase, and mean corpuscular volume in alcohol-dependent patients. Alcohol Clin Exp Res 2000;24:1400-1405.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  40. Conigrave KM, Degenhardt LJ, Whitfield JB, Saunders JB, Helander A, Tabakoff B. CDT, GGT, and AST as markers of alcohol use: the WHO/ISBRA collaborative project. Alcohol Clin Exp Res 2002;26:332-339.[CrossRef][Web of Science][Medline] [Order article via Infotrieve]
  41. Renner F, Kanitz R-D. Quantification of carbohydrate-deficient transferrin by ion-exchange chromatography with an enzymatically prepared calibrator. Clin Chem 1997;43:485-490.[Abstract/Free Full Text]
  42. Arndt T, Kropf J. A prolonged time interval between blood sample collection and centrifugation causes an increase in serum carbohydrate-deficient transferrin. Med Sci Monit 2002;8:BR61-BR64.[Medline] [Order article via Infotrieve]



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