ABSTRACT Objective To (1) validate GAD65‐ELISA detection and quantification for type 1 diabetes mellitus and autoimmune neurological diagnoses, (2) correlate ELISA results (reference range < 5 IU/mL) with established radioimmunoprecipitation assay (RIA; ≤ 0.02 nmol/L), and (3) define ELISA clinical utility and pitfalls. Methods Serum performance for diabetes (FDA‐cleared, undiluted) was verified, and neurological laboratory‐developed serum and CSF dilution protocols were validated to extend the reportable range beyond > 250 IU/mL. ELISA and RIA values were correlated, including established neurological RIA cut‐offs (serum ≥ 20 nmol/L; CSF any positive). Results ELISA met analytical criteria (precision, accuracy, sensitivity, specificity, reference range) in serum and CSF and was clinically equivalent to RIA for autoimmune diabetes. Neurological ELISA cut‐offs were established at 10,000 IU/mL (serum) and 100 IU/mL (CSF). Precision was better below 10,000 IU/mL (CVs < 20%) than above (CVs 30.8% serum; 26.5% CSF). ELISA–RIA correlation and agreement was stronger below the neurological cut‐off (R 2 = 0.89) than above (R 2 = 0.36). Positive agreement for RIA‐defined neurological disease was 100% in serum and CSF; all serums were > 10,000 IU/mL. Clinical specificity was 97.5% in serum and 100% in CSF, exceeding reported RIA specificity. Screen results > 250 IU/mL spanned a wide range of dilution values; many were below the neurological cut‐off. Most patients with paired serum/CSF positivity showed elevated GAD65 IgG indices. Interpretation GAD65 ELISA and RIA have equivalent sensitivity for autoimmune diabetes and neurological testing, with higher specificity for ELISA. A serum cut‐off of 10,000 IU/mL is informative but requires clinical context, and dilution of screen > 250 IU/mL samples is essential for neurological interpretation.
Complement-mediated HUS revisited: evolving insights into pathophysiology, diagnosis, and treatment
Complement-mediated hemolytic uremic syndrome (CM-HUS), commonly referred to as atypical HUS, is a rare thrombotic microangiopathy caused by uncontrolled activation of the alternative complement pathway, typically triggered by a “two-hit” mechanism. It is characterized by microangiopathic hemolytic anemia, thrombocytopenia, and end-organ damage, most commonly affecting the kidneys. While our understanding of the complement system has advanced significantly, CM-HUS remains a complex, heterogeneous disorder influenced by a spectrum of genetic variants, risk haplotypes, and acquired factors such as anti-factor H autoantibodies. This review highlights the current knowledge of CM-HUS pathogenesis, focusing on genetic variants in regulatory and activating proteins of the complement system. We also discuss the diagnostic complexity posed by incomplete penetrance, overlapping phenotypes, and limitations of genetic and functional assays. Emerging ex-vivo assays and complement biomarkers are explored as tools for refining diagnosis and risk stratification. The use of complement inhibitors such as eculizumab and ravulizumab has significantly improved renal outcomes and survival. This review provides a comprehensive, clinically grounded update on the genetics, pathophysiology, diagnostics, and therapeutic considerations in CM-HUS, aiming to provide clinicians and researchers with a deeper understanding of this complex, complement-driven disease.
A New IgG-λ Band during Therapy in Light-Chain Myeloma
Abstract Introduction In 2018, our institution implemented a MALDI-TOF mass spectrometry (MS) method (Mass-Fix) to detect myeloma associated M-proteins in blood. Currently, the lab has performed more than 500K tests by Mass-Fix. While Mass-Fix has been found to be more sensitive and specific than IFE, an ESI-Q-TOF (High Resolution Mass-Fix) method has demonstrated the potential to detect M-proteins at significantly lower levels. Blood minimal residual disease (MRD) detection in lieu of bone marrow (BM) is desirable since blood is easier and less expensive to obtain and analyze. This feature can allow for more frequent MRD monitoring for myeloma patients. Methods 66 residual blood samples from myeloma patients with varying M-protein varying isotypes were diluted into healthy blood to estimate the limit of detection of HR-Mass-Fix method. 179 Rochester Mayo Clinic patients who had a clinically ordered BM MRD assessment by next generation flow (NGF) cytometry (2 x 10-6), a blood sample available within 7 days of the BM biopsy, and a pre-treatment measured M-protein mass by Mass-Fix were utilized to assess the concordance of the BM and blood MRD status. Results The average limit of detection (LOD) of the HR-Mass-Fix was found to be significantly lower than Mass-Fix (0.0003 g/dL and 0.01 g/dL, respectively). The treated patient cohort utilized for comparison consisted of 145 myeloma, 21 AL amyloid, 4 LPL lymphoma and 9 other PCDs. Comparing the Mass-Fix and HR-Mass-Fix results, 100% of blood positive MRD results by Mass-Fix were positive by HR-Mass-Fix. HR-Mass-Fix detected residual M-proteins (mass within +/- 1 Da of pre-treatment) in 29 samples (40%) that were negative by Mass-Fix. Thus, HR-Mass-Fix increased the overall blood MRD positivity rate from 57% by Mass-Fix to 78%. The BM NGF MRD positivity was lower at 54%. The overall agreement of blood and BM by Mass-Fix was 71% (kappa 0.4) which decreased to 0.63 (kappa 0.3) with HR-Mass-Fix. Most of the disagreements were HR-Mass-Fix Blood (+)/BM NGF (-). Blood M-protein MRD appeared to be affected by M-protein half-lives. To determine this, the M-protein isotype distribution of Blood/BM MRD status was compared the M-protein isotype distribution of the overall cohort. The half-lives are as follows: IgG 23 days, IgA 6 days, IgM 5 days and FLC 0.25 days. When both blood and BM were positive, the isotype distribution was not significantly different than the overall cohort. For blood(+)/BM(-) patients, IgG (with the longest half-life) were significantly overrepresented compared to the overall cohort (74% vs 51%) . For blood(-)/BM(+) cases, there were no IgG M-proteins, and the majority were FLC patients. These results suggest that patients with shorter half-life M-proteins (non-IgG) are more likely to be Blood MRD(-) than patients with longer half-life M-proteins. M-protein rate changes over time will likely be needed to resolve the M-protein half- life affect. Conclusions HR-Mass-Fix can significantly increase the detection of M-proteins in comparison to our current Mass-Fix method. Ig recycling was found to be a likely reason for the disagreement between BM and blood. Therefore, a negative blood MRD status by HR-Mass-Fix is most likely to be the most significant in predicting patient outcomes.
Commentary on Aberrant Plasma Cells in the Absence of M-Protein: Ancillary Testing beyond Protein Electrophoresis
Abstract Background Monoclonal antibody therapies (t-mabs) are known to interfere in serum immunofixation, as they show up as a discrete band. Until recently, most of the t-mabs were IgG kappa monoclonal immunoglobulins, and laboratories were familiar with the clue of a cathodal migrating IgG kappa in a patient sample, suggesting this could be daratumumab or another t-mab in the report. However, with the advent of novel antibody-based medications, identification via traditional laboratory methods has grown more complex. Teclistamab-cqyv is an IgG4 lambda T-cell engager bispecific antibody targeting B-cell maturation antigen (BCMA) and CD3 on T cells, used in relapsed and refractory multiple myeloma. The goal of this study was to determine if teclistamab could be detected on serum immunofixation and mass-fix. Methods Residual waste serum samples with no monoclonal protein via mass-fix (a MALDI-TOF based assay used in place of serum immunofixation) and variable polyclonal background were used to spike teclistamab (n=3). Briefly, one sample had total IgG < 500 mg/dL measured by nephelometry on a Siemens BNII (431 mg/dL, hypo gamma), a second sample had IgG within reference intervals (779 mg/dL, normal gamma) and the third sample had IgG > 1600 mg/dL (1950 mg/dL, polyclonal hypergamma). Each sample was divided into 3 aliquots and spiked with teclistamab (Tecvayli, Johnson &Johnson) obtained from the pharmacy, at final concentrations of 10, 20, and 40 mg/dL in the serum samples. The nine artificial samples were subjected to immunofixation electrophoresis (Sebia) and a new monoclonal protein study using mass-fix, a laboratory developed test. Results In the serum immunofixation experiments, a single discrete IgG lambda band was visible in the hypogamma and normal gamma samples (Table 1) when teclistamab was present at 20 mg/dL or 40 mg/dL. No bands were observed for the 10 mg/dL spike in hypos or normals. No teclistamab was detected at any concentration in the hypergamma sample. When mass-fix was performed, monoclonal protein spikes consistent with the expected mass of the two unique lambda light chains associated with teclistamab (22624Da and 22636Da) were identified in the hypo and normal gamma samples at the 3 concentrations tested: 10, 20, and 40 mg/dL. No mass-fix spikes were seen above the polyclonal spectra in the hypergamma samples. Conclusion The polyclonal background of immunoglobulins in a serum specimen plays a significant role in the identification of any monoclonal protein. Teclistamab is a new IgG lambda t-mab with potential to show up as an interference in both immunofixation and mass-fix, depending on the amount of polyclonal IgG present. Without positive identification, teclistamab presence could complicate interpretation of a patient’s response to treatment. This proof-of-concept study shows that mass-fix can detect smaller concentrations of teclistamab than immunofixation, therefore would be more prone to identifying this t-mab than labs employing the gel-based immunofixation method.
B-123 Clinical Implication of Light Chain Fragmentation in Patients with Monoclonal Gammopathies
Abstract Background The diagnosis of monoclonal gammopathies relies on the detection of monoclonal immunoglobulins (M-proteins) in serum or urine. Mass-Fix utilizes matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) to detect and quantify M-proteins. This method employs immunoaffinity enrichment using antibodies against heavy chains (HC) and light chains (LC), followed by MS analysis to determine M-protein isotypes. Mass-Fix has also revealed novel M-protein characteristics, including LC glycosylation and fragmentation, facilitated by measuring the mass of LC. LC glycosylation is as an independent risk factor for disease progression of monoclonal gammopathy of undetermined significance (MGUS), while light chain fragments have been postulated as the origin of amyloid light chain (AL) plaques. Since Mass-Fix enriches intact immunoglobulins before dissociating LCs, it potentially enhances fragment detection. However, the precise nature and clinical significance of these fragments remain to be fully elucidated. Methods Mass-Fix serum results from Mayo Clinic patients tested from September 10, 2018, to October 1, 2024, were reviewed for the presence of M-protein and LC fragments. The frequency and the isotype of fragment LC fragments was determined in the M-protein positive cohort (n=15410). Patients diagnosed with either MGUS (n=6996), AL amyloidosis (n=315), or both (n=32) who had positive M-protein results on Mass-Fix, either prior to or within one month after the diagnosis, were included for a retrospective clinical association study of LC fragments and disease. To validate that these fragments were not artifacts of MS analysis, PAGE gel analysis and Western blots were performed using clinical residual serum from 9 patients: 2 IgG/kappa and 3 IgG/lambda patients with detectable LC fragments and 2 IgG/kappa and 2 IgG/lambda patients without fragments. Samples were purified using antibodies against gamma heavy chains and reduced with TCEP prior to gel electrophoresis and Western blot. Results Of the 15410 patients with monoclonal proteins detected by Mass-Fix, 2896 (18.7%) had detectable LC fragments; kappa fragments in 1533 and lambda fragments in 1363. Most often, the fragments were observed in pairs, with combined molecular weight typically equaled that of the full-length monoclonal LC present in the same sample. LC fragments were observed more frequently among patients diagnosed with AL amyloidosis (118/347=34%) compared to those without the diagnosis (685/6996=10%), with an odds ratio of 4.75 (95% CI, 3.75-6.01). PAGE with Coomassie blue staining revealed bands with sizes representing LC fragments in the five M-protein samples with detectable LC fragments on Mass-Fix, while no such bands observed in those without LC fragments. Western blot using anti-kappa or anti-lambda antibodies confirmed the identity of the bands with higher molecular weight as a fragment of LC in each of the IgG/kappa and IgG/lambda samples. Conclusion Mass-Fix is able to discriminate LC fragments from intact LC based on their sizes. The detection of LC fragments with Western blot without ionization suggests a biological origin rather than analytical artifacts from MS. The clinical association study suggests that LC fragments may have utility in increasing the suspicion of AL amyloidosis in M-protein positive patients with LC fragments, potentially facilitating earlier intervention and improving patient outcomes.
B-094 Evaluating the Impact of Stabilized Calibrator on Free Light Chains Reference Intervals
Abstract Background The Freelite serum free light chain (FLC) assay has been widely used for detecting and monitoring monoclonal gammopathies. Reference intervals (RIs) established by Katzmann et al. in 2002 have served as the standard values for interpreting kappa/lambda FLC ratios. However, multiple reports suggested an assay drift and clinical laboratories started to move towards locally established RIs given the challenge in verifying original RIs. The assay drift over time increased kappa concentration measurements and was attributed to an interaction between the kappa FLC calibrator and serum proteins, including alpha-1-antitrypsin. A stabilized calibrator was developed to improve consistency of results with original RI. The objective of this study was to assess whether the new updated kappa calibrator would warrant a RI update. Methods Healthy adult donors’ serum samples were selected from the institution quality unit. Exclusion criteria included autoimmune diseases, cancers and renal disease. FLC measurements were obtained on the Optilite by turbidimetry using routine reagents for kappa (old lot); the new lot of reformulated kappa calibrator, and a single measurement for lambda FLC. FLC ratios were calculated with the old lot and new lot. All samples were tested by MASS-FIX to confirm absence of a monoclonal protein. Bootstrap resampling (10,000 replicates) estimated standard errors, with statistical significance defined as p < 0.05. Clinical significance was assessed per CLSI EP28-A3 guidelines. A RI was considered for partitioning by sex if the mean difference between males and females exceeded 25% of the RI width or if >4% of either sex had values beyond RI limits. Similar tests were applied to age groups (<60 and =60 years). Results 465 donors (48.2% male, 51.8% female) aged 30-89 years were used. Sixteen donors with incidental monoclonal proteins identified by MASS-FIX were excluded, for a final n=449. No clinically significant relationships of results were found with sex or age. The updated kappa calibrator resulted in a measurable shift down in FLC values with the new lot of reagents. The kappa FLC concentration and corresponding FLC ratio decreased by a median -12.1%, see table 1 for absolute values When reviewing Optilite results of the new lot, 98/449 samples were outside the kappa concentration original RI (21%). Lambda concentration RI was shifted up on Optilite when compared to original RI but passes verification (1.6% of samples, acceptance criteria < or =10%). 19 samples (4.2%) were outside the original RI for the FLC ratio of 0.26 to 1.65 (all >1.65), which was originally established as a 100% diagnostic range. The calibrator reformulation, while decreasing test results by >10%, was not sufficient to verify the original RI for kappa and still left a few cases outside the original diagnostic range for the FLC ratio. Conclusion This study assessed the impact of the stabilized calibrator on RIs for the Optilite Freelite assay. These findings suggest revisiting existing RIs to ensure continued accuracy in clinical interpretation and should be further evaluated with additional lots of reagents for robustness.