Evaluation of the CapillaryS 2 CE System for Hemoglobinopathy Investigations.
Bibliographic record
Abstract
Abstract Traditional diagnosis of hemoglobinopathies rely on separation and accurate quantification of hemoglobin (Hb) fractions using alkaline and acid electrophoresis, isoelectric focusing (IEF) and/or High Performance Liquid Chromatography (HPLC). Recent reports have suggested capillary electrophoresis (CE) as an alternate method for screening. We evaluated a new CE system the Sebia CapillaryS 2 (Evry Cedex, France) and compared it to IEF and HPLC. For this evaluation samples referred to our laboratory for routine hemoglobinopathy screening or as cord bloods sent for confirmation of a variant detected as a result of newborn screening were analyzed using all three techniques. IEF was performed with the Resolve IEF kit (Perkin Elmer,Wallac Oy, Finland). HPLC was done on the BioRad Variant II (Munich, Germany) using the Hb A2/Hb A1c Dual program. The CE was performed using the “Capillarys Hemoglobin(E) kit”. Suspected rare variants were further investigated with DNA investigations, including PCR and direct nucleotide sequencing. Variant hemoglobins were detected in 156 of 764 samples (Table 1). The correlation between IEF, HPLC and CE was excellent. One variant (Hb Toulon) was not detected by the CE but ran with Hb F. The CE system did not report the Hb F value on samples with very low (< 1.0%) Hb F by HPLC. Two cases of Hb Constant Spring were identified by CE but not by either IEF or HPLC. The correlation of both Hb F and Hb A2 reported between the CE and HPLC systems were excellent (R > 0.99 and 0.98, Figure 1 and Figure 2 respectively). The positive bias of Hb A2 seen in HPLC when Hb S is present was lower in the CE. However, the CE system demonstrated a negative bias for Hb A2 if Hb C was present. CE was the only system capable of separating Hb A2 from Hb E. We conclude that CE is comparable to both IEF and HPLC for separation and quantification of hemoglobin fractions; this system has the added advantage of reporting Hb A2 in the presence of Hb E and consistently identifies Hb Constant Spring, which is not easily detected on IEF or HPLC. Further this CE system is user friendly and holds promise as a tool for newborn screening and routine laboratory hemoglobinopathy investigations. Hemoglobinopathy Detected Hemoglobinopathy Number β Thalassemia 99 Hb S trait 55 Cord with Hb Barts 28 Hb C trait 13 Hb E trait 12 Hb D trait 8 α variant (not yet identified) 5 Hb Barts + Hb S trait 4 Hb Barts + Hb D trait 3 Hb S disease 3 Hb Barts + Hb E trait 2 Hb E +β Thalassemia 2 Hb H disease 2 Hb Constant Spring 2 Hb J Baltimore 2 Hb Toulon 2 δ variant (not identified) 2 Hb S + Hb C 1 Hb Barts + Hb C trait 1 Hb Q Thailand + --SEA/αα 1 Homozygous Hb E + Hb Constant Spring 1 Hb S + Hb Kenya 1 Hb J Roviga 1 Hb Beograd 1 Hb G Coushatta 1 Hb Sirian 1 Hb Titusville 1 B variant (not identified yet) 1 Total Abnormal 255 No hemoglobinopathy detected 509 Total 764 Hb F: HPLC vs CE Hb F: HPLC vs CE Hb A2: HPLC vs CE Hb A2: HPLC vs CE
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".