ALBOM Study

What it is

ALBOM is our study characterizing Human Serum Albumin (HSA) isoforms as biomarkers of chronic liver disease (CLD) staging, using top-down LC-HR-MS with absolute quantification. The study uses an internal calibration approach (equine myoglobin internal standard) to quantify 10 intact HSA isoforms in clinical plasma samples across the full spectrum of liver fibrosis.

Publication

“Human Serum Albumin Profiling by Top-Down Analysis Enables Multi-Class Liver Fibrosis Staging: A Cross-Platform Validation Study” El Balkhi S*, Berrah R*, Sauvage FL, Le Du L, Rahali MA, Lakis R, Marquet P, Saint-Marcoux F, Loustaud-Ratti V, Carrier P (*equal contribution) Published in Scientific Reports (2026) — DOI 10.1038/s41598-026-57614-y; accepted 8 June 2026; Open Access (CC BY-NC-ND 4.0) Full wiki analysis: el-balkhi-2025

Study design

  • Type: Prospective, single-centre, cross-sectional
  • Period: Jan 2021 – Jan 2023, CHU Limoges (Hepatology Dept.)
  • Sample type: Human plasma (residual from routine care)
  • n: 172 CLD patients (F0/F1–F4_C) + 82 healthy controls

Cohort breakdown

Stagen% total
Controls82
F0/F13620.9%
F22313.0%
F33017.0%
F4_A (Child-Pugh A)3721.5%
F4_B (Child-Pugh B)2615.1%
F4_C (Child-Pugh C)2011.6%

Etiologies by stage (Table 1)

EtiologyF0/F1F2F3F4_AF4_BF4_C
MASH1313221230
ALD10091614
HBV1012200
HCV231500
AIH324101
ALD+MASH000254

⚠️ MASH dominates early stages; ALD dominates F4_B/C (~85% alcohol-related in decompensated cirrhosis)

Staging methods used per stage (Table 2)

StageFibroScanBiopsyBoth
F0/F135 (97%)4 (11%)3
F223 (100%)5 (22%)5
F328 (93%)12 (40%)10
F4_A25 (68%)5 (13%)2
F4_B3 (11%)6 (23%)1
F4_C4 (20%)8 (40%)1

FibroScan largely unavailable for F4_B/C → clinical consensus or biopsy required

Analytical method

  • Method: Validated top-down LC-QTOF-MS (published as Lakis et al. [ref 22])
  • Sample prep: 1:50 dilution in 0.9% NaCl + equine myoglobin (4 g/L) as IS
  • Column: C4 reverse-phase; gradient elution
  • Ionization: ESI-QTOF
  • Deconvolution range: 66,000–68,000 Da
  • Platforms: Bruker timsTOF Pro2 (P1) + Sciex TripleTOF 5600+ (P2)
  • Quantification: Absolute (g/L) — internal calibration to equine Mb IS; high-MW glycated isoforms calibrated from related species slope

Main targets — 10 isoforms quantified

IsoformPTM(s)Δmass (Da)Disease pattern
Native HSANone (Cys34 free)0Progressive ↓; precipitous F4_B/C
HSA-DAN-terminal truncation (–Asp)−115↓ all stages vs controls
HSA-LC-terminal truncationvariableNo significant change
HSA+CYSCysteinylation Cys34+119Biphasic — peak F4_A, ↓ F4_B/C
HSA+SO₃HSulfonylation (irreversible)+48↓ F4_B/C
HSA+GLYCGlycation (mono, Lys)+162Biphasic — peak F3/F4_A, ↓ F4_B/C
HSA-DA+CYSTruncation + cysteinylation−115 +119↓ F4_B/C
HSA+CYS+GLYCCysteinylation + glycation+281Biphasic — peak F3 (1.9 g/L)
HSA+2GLYCDouble glycation+324Biphasic — peak F4_A
HSA+CYS+2GLYCDouble glycation + cysteinylation+443Progressive ↑ — end-stage marker

Key results

Native HSA performance

Controls: 12.2 g/L → F4_B: 4.1 g/L, F4_C: 4.2 g/L AUC: F0/F1 = 0.67, F4_B = 0.99, F4_C = 0.89

Best individual diagnostic ratios (normalized to native)

RatioStageSensitivitySpecificity
HSA+CYS/NativeF4_C vs controls65%99%
HSA+GLYC/NativeF4_B vs controls85%100%
HSA+GLYC/NativeF4_C vs controls70%99%
HSA+CYS+GLYC/NativeF4_B vs controls77%99%

OrdinalForest classifier performance

Platformn_testQWK95% CI
P1 Bruker timsTOF Pro2460.8620.735–0.923
P2 Sciex TripleTOF 5600+490.9160.822–0.964
FIB-4 (comparator)0.188–0.229

Overall triage accuracy: 81.5% (LC-TOF + Clinical) vs 59.3% (FIB-4) → +26 pp

Cross-platform reproducibility

  • McNemar p = 0.149 (no significant difference between instruments)
  • Jaccard similarity index of errors = 0.696 (~70% shared misclassifications → biologically driven)

Status

  • Published — Scientific Reports 2026, DOI 10.1038/s41598-026-57614-y (accepted 8 June 2026, Open Access)
  • Multicentric validation: MALAHBAR study (NCT06318949) — ongoing; 560 patients enrolled / 8 French CHUs (target >700); SEB test + isoform signature validation expected 2027

Connections to CQFD-PTM

ALBOM data was generated using the CQFD-PTM pipeline — ALBOM is the clinical validation study for the pipeline. The absolute quantification method (Lakis et al.) feeds directly into the pipeline’s quantification module.

Next steps / open questions

  • Multicentric MALAHBAR study (560 patients / 8 CHUs, target >700) to confirm predictive capacity and externally validate across centres — expected 2027
  • Etiology-specific isoform analysis (MASH vs ALD vs HCV subtypes)
  • Optimization of Platform 1 baseline correction for high-mass glycated species (>67,500 Da)
  • Potential downstream development of targeted LC-MRM-MS or immunoassay for CYS/Native and GLYC/Native ratios
  • Formal proficiency testing scheme for multicenter deployment