MétaCan
Menu
Retour à la cohorte
Enregistrement W2155461706 · doi:10.1373/clinchem.2007.100107

Improved HPLC Analysis of Serum 7α-Hydroxycholest-4-en-3-one, a Marker of Bile Acid Malabsorption

2008· letter· en· W2155461706 sur OpenAlexfundno aff
Martin Leníček, M. Juklová, Jaroslav Zelenka, Milan Lukáš, Martin Bortlík, Libor Vı́tek

Notice bibliographique

RevueClinical Chemistry · 2008
Typeletter
Langueen
DomaineMedicine
ThématiqueHelicobacter pylori-related gastroenterology studies
Établissements canadiensnon disponible
Organismes subventionnairesMinistry of Health, British Columbia
Mots-clésMalabsorptionBile acid malabsorptionMalabsorption syndromesBile acidHigh-performance liquid chromatographyInternal medicineGastroenterologyChromatographyChemistryMedicine

Résumé

récupéré en direct d'OpenAlex

Serum concentrations of 7α-hydroxycholest-4-en-3-one (cholesten, bile acid synthesis intermediate) have been shown to correlate with the severity of bile acid malabsorption(1)(2). Current techniques for holster quantification require sophisticated instrumentation(3) or solid-phase extraction (SPE) at 64 °C(4). We developed and validated a method for measuring serum cholesten concentrations using routinely available HPLC instrumentation, focusing on the optimization of the SPE step. Cholesten was purchased from Steraloids, and used to prepare serum calibrators containing 0–1000 μg/L. We added 30 ng of internal standard (7β-hydroxycholest-4-en-3-one, Steraloids) dissolved in 80 μL of methanol, to 1 mL of serum. Then 5 mL of chloroform:methanol (2:1, vol/vol, analytical grade, Penta) was added; the mixture was vortex-mixed vigorously, and centrifuged (2000g, 3 min, ambient temperature). The upper phase was discarded, and 2 mL of 125 mmol/L NaCl in 50% methanol (vol/vol) was added to the sample, vortex-mixed, and centrifuged as above. The lower phase was transferred to another tube and dried at 60 °C under nitrogen, dissolved in 1 mL of toluene (analytical grade, Penta), and loaded onto a Phenomenex Strata SI-1 100-mg silica precolumn that had been prewashed with 1 mL of isopropanol (Chromasolv, Merck), and equilibrated with 1 mL of hexane (Uvasol, Merck). After a washing step with 1 mL of hexane and 15 mL of isopropanol:hexane (0.4:99.6 vol/vol), cholesten was eluted with 1 mL of isopropanol, dried under nitrogen at 60 °C, and dissolved in 170 μL of acetonitrile:water (95:5 vol/vol). Then 150 μL of the sample was injected into the Agilent HP1100 HPLC system. The chromatographic parameters were: Tessek SGX C18 column (4 × 250 mm, 4 μm), acetonitrile:water (95:5, vol/vol) mobile phase, flow rate 1 mL/min, temperature 20 °C, detection/reference wavelength 241/360 nm(4). The method yielded a linear response (13 calibration points in triplicate) up to 1000 μg/L (y = 0.9957x, R2 = 0.9979). A typical chromatogram is shown in Fig. 1 . The detection limit, calculated as a concentration corresponding to a signal 3 SD above the mean for a calibrator free of analyte (n = 10), was 1.2 μg/L when 1 mL of serum was processed. Intraassay imprecision values (CV for 15 measurements of 3 specimens) were 2.8%, 3.2%, and 2.2% for samples with mean (SD) cholesten concentrations of 18.1 (0.5), 136.8 (4.3), and 237.7 (5.3) μg/L, respectively. We determined interassay imprecision by assaying 3 specimens 20 times (1 measurement per day) over a 3-month period. CVs were 5.1%, 4.3%, and 4.1% for samples with mean (SD) cholesten concentrations of 18.0 (0.9), 139.2 (6.0), and 244.4 (9.9) μg/L, respectively. Chromatogram of a serum sample containing 12 μg/L cholesten. The inset provides a detailed view of the cholesten (first) and internal standard (second) peaks. The average recovery, calculated as [(measured concentration − initial concentration)/added concentration], was 93%. The effects of hemoglobin, bilirubin, cholesterol, and triglycerides were estimated by the recovery of a known amount of analyte added to a serum sample with the interferent being tested. Recoveries (means of triplicates) were 97%, 90%, 108%, and 105% with added hemoglobin (5 g/L), bilirubin (96.2 μmol/L), cholesterol (9.1 mmol/L), or triglycerides (10.7 mmol/L), respectively. To demonstrate the utility of this method, we measured serum cholesten concentrations in 2 groups: healthy volunteers [20 males, 30 females, mean (SD) age 39.6 (9.4) years] and patients who had undergone resection of terminal ileum, for whom malabsorption of bile acids would be expected owing to the loss of ileal bile acid transporter [22 males, 28 females, mean (SD) age 41.7 (13.5) years]. The study was approved by the local ethics committee. Compared to the healthy controls, median concentrations of cholesten (interquartile range) in patients with ileal resection were significantly higher [87.8 μg/L (range 42.1–150.5 μg/L) vs 11.9 μg/L (range 9.2–16.9 μg/L), P < 0.001, Mann–Whitney Rank-Sum test]. This method retains the advantages of other HPLC-based methods, while eliminating the need for temperature-controlled SPE. Silica cartridges offer higher binding capacity and the possibility of analyte extraction at ambient temperature, which, compared to previously used C8 cartridges, results in a wider linear range (up to 1000 μg/L vs 200 μg/L)(4). Except for the chloroform:methanol extraction, the analysis can theoretically be automated. Additionally, the initial chloroform:methanol extraction ensures quantitative extraction of both cholesten and the internal standard and thus potential imprecision caused by either internal standard precipitation or incomplete extraction of protein-bound cholesten can be avoided. The increased availability of a laboratory diagnosis of bile acid malabsorption is of considerable importance, especially for patients with chronic diarrhea and irritable bowel syndrome. These disorders belong to the most common gastrointestinal conditions, and it is estimated that bile acid malabsorption might be present in about half of these patients(5). Because the majority of patients wit bile acid malabsorption respond to bile acid sequestrants(5), targeted therapy, based on serum cholesten concentrations, should both improve outcomes and lower treatment costs. Grant/Funding Support: This work was supported by a grant NR 8963-3 from the Czech Ministry of Health. Financial Disclosures: None declared. Acknowledgments: We give our thanks to Iva Subhanova, for helpful advice and assistance in the validation procedure.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,032
Tête enseignante GPT0,316
Écart entre enseignants0,284 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreMéthodes

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations19
Publié2008
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueClinical ChemistryMême sujetHelicobacter pylori-related gastroenterology studiesTravaux en français237 207