Analytical assessment and validation of the ProteinSimple ELLA serum B-cell maturation antigen assay.

Objectives: Soluble B-Cell Maturation Antigen (sBCMA) is a degradation product of plasma cell-bound BCMA found in serum. Serum sBCMA concentrations correlate with bone marrow plasma cellularity, making it an attractive biomarker for monitoring plasma cell disorders, such as multiple myeloma. Here we evaluated the automated BCMA immunoassay for the ProteinSimple ELLA, for the analysis of sBCMA. Design & methods: Inter and intra-run precision was assessed through replicate sBCMA measurements at 3 different concentration levels. Linearity was determined through serial dilution of a high sBMCA patient sample. Accuracy was assessed through split specimen analysis on two separate lots of reagents. Stability was assessed at 3 temperature levels over 14 days. Cross-reactivity was assessed on BCMA targeting and non-targeting chemotherapeutics. A reference range was established through the analysis of 146 healthy donor samples. The effect of endogenous interferents was assessed through spiking and recovery studies. Results: Inter and intra-run precision studies afforded CVs of <10% at all three concentration levels. Analytical measurement range was confirmed from 0.1 to 7 ng/mL. Accuracy studies afforded a slope of 0.976, intercept of 1.22, R2 of 0.996. Assayed sBCMA values were unaffected by endogenous interferents and non-BMCA targeting antibodies. BCMA targeting therapeutics negatively affected assayed sBCMA concentrations. The reference range was established at 19-58 ng/mL sBCMA is analytically stable. Conclusions: The ProteinSimple ELLA sBCMA assay shows acceptable performance for the clinical assessment of sBCMA. The assay was highly affected by BCMA targeting therapeutics, thereby patients undergoing this therapy should not have their sBCMA levels assessed by this method.

The Serological Sciences Network (SeroNet) for COVID-19: Depth and Breadth of Serology Assays and Plans for Assay Harmonization.

In October 2020, the National Cancer Institute (NCI) Serological Sciences Network (SeroNet) was established to study the immune response to COVID-19, and "to develop, validate, improve, and implement serological testing and associated technologies" (https://www.cancer.gov/research/key-initiatives/covid-19/coronavirus-research-initiatives/serological-sciences-network). SeroNet is comprised of 25 participating research institutions partnering with the Frederick National Laboratory for Cancer Research (FNLCR) and the SeroNet Coordinating Center. Since its inception, SeroNet has supported collaborative development and sharing of COVID-19 serological assay procedures and has set forth plans for assay harmonization. To facilitate collaboration and procedure sharing, a detailed survey was sent to collate comprehensive assay details and performance metrics on COVID-19 serological assays within SeroNet. In addition, FNLCR established a protocol to calibrate SeroNet serological assays to reference standards, such as the U.S. severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serology standard reference material and first WHO international standard (IS) for anti-SARS-CoV-2 immunoglobulin (20/136), to facilitate harmonization of assay reporting units and cross-comparison of study data. SeroNet institutions reported development of a total of 27 enzyme-linked immunosorbent assay (ELISA) methods, 13 multiplex assays, and 9 neutralization assays and use of 12 different commercial serological methods. FNLCR developed a standardized protocol for SeroNet institutions to calibrate these diverse serological assays to reference standards. In conclusion, SeroNet institutions have established a diverse array of COVID-19 serological assays to study the immune response to SARS-CoV-2 and vaccines. Calibration of SeroNet serological assays to harmonize results reporting will facilitate future pooled data analyses and study cross-comparisons. IMPORTANCE SeroNet institutions have developed or implemented 61 diverse COVID-19 serological assays and are collaboratively working to harmonize these assays using reference materials to establish standardized reporting units. This will facilitate clinical interpretation of serology results and cross-comparison of research data.

The Serological Sciences Network (SeroNet) for COVID-19: Depth and Breadth of Serology Assays and Plans for Assay Harmonization.

Background: In October 2020, the National Cancer Institute (NCI) Serological Sciences Network (SeroNet) was established to study the immune response to COVID-19, and "to develop, validate, improve, and implement serological testing and associated technologies." SeroNet is comprised of 25 participating research institutions partnering with the Frederick National Laboratory for Cancer Research (FNLCR) and the SeroNet Coordinating Center. Since its inception, SeroNet has supported collaborative development and sharing of COVID-19 serological assay procedures and has set forth plans for assay harmonization. Methods: To facilitate collaboration and procedure sharing, a detailed survey was sent to collate comprehensive assay details and performance metrics on COVID-19 serological assays within SeroNet. In addition, FNLCR established a protocol to calibrate SeroNet serological assays to reference standards, such as the U.S. SARS-CoV-2 serology standard reference material and First WHO International Standard (IS) for anti-SARS-CoV-2 immunoglobulin (20/136), to facilitate harmonization of assay reporting units and cross-comparison of study data. Results: SeroNet institutions reported development of a total of 27 ELISA methods, 13 multiplex assays, 9 neutralization assays, and use of 12 different commercial serological methods. FNLCR developed a standardized protocol for SeroNet institutions to calibrate these diverse serological assays to reference standards. Conclusions: SeroNet institutions have established a diverse array of COVID-19 serological assays to study the immune response to SARS-CoV-2 virus and vaccines. Calibration of SeroNet serological assays to harmonize results reporting will facilitate future pooled data analyses and study cross-comparisons.

Falsely Undetectable Vancomycin Levels in a Pediatric Patient With Chronic Granulomatous Disease.

A child with chronic granulomatous disease on vancomycin treatment had V trough levels that became undetectable, as measured in our hospital's clinical laboratory by a commonly employed particle-enhanced turbidometric inhibition assay. An alternative laboratory method yielded appropriate results. Recognizing and resolving erroneously low V trough levels could prevent needless adjustments in dosing that could increase risk for acute kidney injury.

Development and characterization of a quantitative ELISA to detect anti-SARS-CoV-2 spike antibodies.

A novel clinical assay for the detection and quantitation of antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was adapted from an in-house, research-based enzyme-linked immunosorbent assay (ELISA). Development and validation were performed under regulatory guidelines, and the test obtained emergency use authorization (EUA) from the New York State Department of Health (NYSDOH) and the Food and Drug Administration (FDA). The Mount Sinai coronavirus disease 2019 (COVID-19) antibody assay is an orthogonal, quantitative direct ELISA test which detects antibodies reactive to the receptor binding domain (RBD) and the spike protein of the novel SARS-CoV-2. The assay is performed on 96-well plates coated with either SARS-CoV-2 recombinant RBD or spike proteins. The test is divided into two stages, a qualitative screening assay against RBD and a quantitative assay against the full-length spike protein. The test uses pooled high titer serum as a reference standard. Negative pre-COVID-19 and positive post-COVID-19, PCR-confirmed specimens were incorporated in each ELISA test run, and the assays were performed independently at two different locations. The Mount Sinai COVID-19 serology performed with high sensitivity and specificity, 92.5% (95% CI: 0.785-0.980) and 100% (CI: 0.939-1.000) respectively. Between-run precision was assessed with a single run repeated over 22 days; and within-run precision was assessed with 10 replicates per day over 22 days. Both were within reported acceptance criteria (CV ≤ 20%). This population-based study reveals the applicability and reliability of this novel orthogonal COVID-19 serology test for the detection and quantitation of antibodies against SARS-CoV-2, allowing a broad set of clinical applications, including the broad evaluation of SARS-CoV-2 seroprevalence and antibody profiling in different population subsets.

Longitudinal analysis of severe acute respiratory syndrome coronavirus 2 seroprevalence using multiple serology platforms.

Current severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological tests are based on the full-length spike (S), the receptor-binding domain (RBD), or the nucleoprotein (NP) as substrates. Here, we used samples from healthcare workers (HCWs) to perform a longitudinal analysis of the antibody responses using a research-grade RBD and spike-based enzyme-linked immunosorbent assay (ELISA), a commercial RBD and spike-based ELISA, and a commercial NP-based chemiluminescent microparticle immunoassay. Seroprevalence ranged around 28% early during the pandemic and a good correlation was observed between RBD and spike-based ELISAs. Modest correlations were observed between NP and both RBD and spike-based assays. The antibody levels in HCWs declined over time; however, the overall seroprevalence measured by RBD and spike-based assays remained unchanged, while the seroprevalence of NP-reactive antibodies significantly declined. Moreover, RBD and spike-based assays effectively detected seroconversion in vaccinees. Overall, our results consolidate the strength of different serological assays to assess the magnitude and duration of antibodies to SARS-CoV-2.

Biotin Interference in Assays for Thyroid Hormones, Thyrotropin and Thyroglobulin.

Background: Biotin has been reported to interfere with several commonly used laboratory assays resulting in misleading values and possible erroneous diagnosis and treatment. This report describes a prospective study of possible biotin interference in thyroid-related laboratory assays, with a comparison of different commonly used assay platforms. Materials and Methods: Thirteen adult subjects (mean age 45 ± 13 years old) were administered biotin 10 mg/day for eight days. Blood specimens were collected at three time points on day 1 and on day 8 (baseline, two, and five hours after biotin ingestion). Thyrotropin (TSH), free triiodothyronine (fT3), free thyroxine (fT4), total triiodothyronine (TT3), total thyroxine (TT4), thyroxine binding globulin (TBG), and thyroglobulin (Tg) levels were analyzed with four different platforms: Abbott Architect, Roche Cobas 6000, Siemens IMMULITE 2000, and liquid chromatography with tandem mass spectrometry (LC-MS/MS). TSH, fT3, fT4, TT3, and TT4 were measured with Abbott Architect and Roche Cobas 6000. fT3, fT4, TT3, and TT4 were also measured by LC-MS/MS. Tg was measured by Siemens IMMULITE 2000. TBG was assessed with Siemens IMMULITE 2000. Results: Significant changes in TSH, fT4, and TT3 measurements were observed after biotin exposure when the Roche Cobas 6000 platform was used. Biotin intake resulted in a falsely lower Tg level when measurements were performed with Siemens IMMULITE 2000. At the time points examined, maximal biotin interference was observed two hours after biotin exposure both on day 1 and day 8. Conclusions: A daily dose of 10 mg was shown to interfere with specific assays for TSH, fT4, TT3, and Tg. Physicians must be aware of the potential risk of erroneous test results in subjects taking biotin supplements. Altered test results for TSH and Tg can be particularly problematic in patients requiring careful titration of levothyroxine therapy such as those with thyroid cancer.

Neutralizing Antibody Responses in COVID-19 Convalescent Sera.

Passive transfer of antibodies from COVID-19 convalescent patients is being used as an experimental treatment for eligible patients with SARS-CoV-2 infections. The United States Food and Drug Administration's (FDA) guidelines for convalescent plasma initially recommended target antibody titers of 160. We evaluated SARS-CoV-2 neutralizing antibodies in sera from recovered COVID-19 patients using plaque reduction neutralization tests (PRNT) at moderate (PRNT50) and high (PRNT90) stringency thresholds. We found that neutralizing activity significantly increased with time post symptom onset (PSO), reaching a peak at 31-35 days PSO. At this point, the number of sera having neutralizing titers of at least 160 was approximately 93% (PRNT50) and approximately 54% (PRNT90). Sera with high SARS-CoV-2 antibody levels (>960 enzyme-linked immunosorbent assay titers) showed maximal activity, but not all high-titer sera contained neutralizing antibody at FDA recommended levels, particularly at high stringency. These results underscore the value of serum characterization for neutralization activity.

Robust neutralizing antibodies to SARS-CoV-2 infection persist for months.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic with millions infected and more than 1 million fatalities. Questions regarding the robustness, functionality, and longevity of the antibody response to the virus remain unanswered. Here, on the basis of a dataset of 30,082 individuals screened at Mount Sinai Health System in New York City, we report that the vast majority of infected individuals with mild-to-moderate COVID-19 experience robust immunoglobulin G antibody responses against the viral spike protein. We also show that titers are relatively stable for at least a period of about 5 months and that anti-spike binding titers significantly correlate with neutralization of authentic SARS-CoV-2. Our data suggest that more than 90% of seroconverters make detectable neutralizing antibody responses. These titers remain relatively stable for several months after infection.

Convalescent plasma treatment of severe COVID-19: a propensity score-matched control study.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a new human disease with few effective treatments1. Convalescent plasma, donated by persons who have recovered from COVID-19, is the acellular component of blood that contains antibodies, including those that specifically recognize SARS-CoV-2. These antibodies, when transfused into patients infected with SARS-CoV-2, are thought to exert an antiviral effect, suppressing virus replication before patients have mounted their own humoral immune responses2,3. Virus-specific antibodies from recovered persons are often the first available therapy for an emerging infectious disease, a stopgap treatment while new antivirals and vaccines are being developed1,2. This retrospective, propensity score-matched case-control study assessed the effectiveness of convalescent plasma therapy in 39 patients with severe or life-threatening COVID-19 at The Mount Sinai Hospital in New York City. Oxygen requirements on day 14 after transfusion worsened in 17.9% of plasma recipients versus 28.2% of propensity score-matched controls who were hospitalized with COVID-19 (adjusted odds ratio (OR), 0.86; 95% confidence interval (CI), 0.75-0.98; chi-square test P value = 0.025). Survival also improved in plasma recipients (adjusted hazard ratio (HR), 0.34; 95% CI, 0.13-0.89; chi-square test P = 0.027). Convalescent plasma is potentially effective against COVID-19, but adequately powered, randomized controlled trials are needed.

An inflammatory cytokine signature predicts COVID-19 severity and survival.

Several studies have revealed that the hyper-inflammatory response induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a major cause of disease severity and death. However, predictive biomarkers of pathogenic inflammation to help guide targetable immune pathways are critically lacking. We implemented a rapid multiplex cytokine assay to measure serum interleukin (IL)-6, IL-8, tumor necrosis factor (TNF)-α and IL-1ß in hospitalized patients with coronavirus disease 2019 (COVID-19) upon admission to the Mount Sinai Health System in New York. Patients (n = 1,484) were followed up to 41 d after admission (median, 8 d), and clinical information, laboratory test results and patient outcomes were collected. We found that high serum IL-6, IL-8 and TNF-α levels at the time of hospitalization were strong and independent predictors of patient survival (P < 0.0001, P = 0.0205 and P = 0.0140, respectively). Notably, when adjusting for disease severity, common laboratory inflammation markers, hypoxia and other vitals, demographics, and a range of comorbidities, IL-6 and TNF-α serum levels remained independent and significant predictors of disease severity and death. These findings were validated in a second cohort of patients (n = 231). We propose that serum IL-6 and TNF-α levels should be considered in the management and treatment of patients with COVID-19 to stratify prospective clinical trials, guide resource allocation and inform therapeutic options.

An inflammatory cytokine signature helps predict COVID-19 severity and death.

The COVID-19 pandemic caused by infection with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has led to more than 100,000 deaths in the United States. Several studies have revealed that the hyper-inflammatory response induced by SARS-CoV-2 is a major cause of disease severity and death in infected patients. However, predictive biomarkers of pathogenic inflammation to help guide targetable immune pathways are critically lacking. We implemented a rapid multiplex cytokine assay to measure serum IL-6, IL-8, TNF-α, and IL-1ß in hospitalized COVID-19 patients upon admission to the Mount Sinai Health System in New York. Patients (n=1484) were followed up to 41 days (median 8 days) and clinical information, laboratory test results and patient outcomes were collected. In 244 patients, cytokine measurements were repeated over time, and effect of drugs could be assessed. Kaplan-Meier methods were used to compare survival by cytokine strata, followed by Cox regression models to evaluate the independent predictive value of baseline cytokines. We found that high serum IL-6, IL-8, and TNF-α levels at the time of hospitalization were strong and independent predictors of patient survival. Importantly, when adjusting for disease severity score, common laboratory inflammation markers, hypoxia and other vitals, demographics, and a range of comorbidities, IL-6 and TNF-α serum levels remained independent and significant predictors of disease severity and death. We propose that serum IL-6 and TNF-α levels should be considered in the management and treatment of COVID-19 patients to stratify prospective clinical trials, guide resource allocation and inform therapeutic options. We also propose that patients with high IL-6 and TNF-α levels should be assessed for combinatorial blockade of pathogenic inflammation in this disease.

Two cases of spontaneous remission of non-parasitic chyluria.

OBJECTIVES: Chyluria is a medical condition with presence of chyle in urine. The disease is most prevalent in South East Asian countries mostly caused by parasitic (Wuchereria bancrofti) infections. Our objective was to investigate the spontaneous remission of non-parasitic chyluria. DESIGN AND METHODS: The spontaneous remission of non-parasitic chyluria cases were worked up with diagnostic investigations, clinical assessment and studied in detail with respect to their natural evolution. RESULTS: We present two patients who were evaluated in the nephrology clinic with symptoms of milky urine and painless hematuria. Midnight blood smear was negative for filarial parasites. Urine culture was without mycobacteria. Urine cytology and IgG western blot for cysticercus were negative. Imaging for a lymphatic leak by lymphoscintigraphy was unrevealing. Chyluria resolved spontaneously in both patients. CONCLUSIONS: In our cases, radiologic visualization via lymphoscintigraphy was unrevealing. The patients were managed conservatively and fortunately underwent spontaneous remission marked by the disappearance of chyluria within several months of her initial diagnosis. In our opinion this spontaneous remission could be due to unrevealed lymphatico-renal fistula collapse or sclerosis of lymphatics caused by contrast media.

D-lactic acidosis mediated neuronal encephalopathy in acute lymphoblastic leukemia patient: an under diagnosis.

BACKGROUND: D-lactic acidosis, also referred as D-lactate encephalopathy, has been reported in patients with short bowl syndrome (SBS). CASE REPORT: The neurologic symptoms include altered mental status, slurred speech, and ataxia. Onset of neurological symptoms is accompanied by metabolic acidosis and high anion gap. We present here a case of D-lactic acidosis in a patient with acute lymphoblastic leukemia (ALL) who developed severe neurological symptoms and metabolic acidosis due to vancomycin-resistant enterococci (VRE) infection, and elevated D-lactic acid.

Simultaneous determination of levetiracetam and its acid metabolite (ucb L057) in serum/plasma by liquid chromatography tandem mass spectrometry.

OBJECTIVE: Levetiracetam and its acid metabolite have almost identical MRMs. They therefore need to be separated chromatographically prior to quantitation. RESEARCH DESIGN AND METHODS: The sample is deproteinized with acetonitrile containing Ritonavir as internal standard, centrifuged and the supernatant diluted with water (1:2 v/v). Sixty microliters of the supernatant is injected into the LC-MS/MS and Levetiracetam (LEV) and LEV metabolite separated chromatographically at room temperature employing a Supelco C(18) column and a 0.1% formic acid methanol gradient at pH of 2.5. RESULTS: The retention times for LEV metabolite, LEV and Ritonavir were 4.50, 5.38 and 9.18 min, respectively. Calibration curves in spiked plasma were linear over the concentration range of 0-50 microg/mL for LEV and 0.0-5.0 microg/mL for LEV metabolite. Intra- and inter-run imprecision (n=10) gave CVs of 2.3-4.7%, 3.4-8.9% for LEV and 2.9-3.9%, 3.3-7.4% for LEV metabolite. Recoveries of both LEV and LEV metabolite were close to 100%. Results for LEV were compared with those obtained by a commercial reference laboratory (r=0.974). CONCLUSION: The procedure is reliable, quick, and inexpensive. LEV and LEV metabolite co-elute using C-18 columns at pHs >3.0 and previously published methods employing these conditions could therefore be subject to metabolite interference. In this method LEV and LEV metabolite are separated at pH 2.5. The total run time including the washing step is 10 min/sample, making this method suitable when moderate throughput is needed such as in clinical or commercial reference laboratories.

Optimization of fermentation parameters to enhance the production of ethanol from palmyra jaggery using Saccharomyces cerevisiae in a batch fermentor.

Application of statistical experimental designs for optimization of fermentation parameters to enhance ethanol production, which is an economical and renewable energy source using Saccharomyces cerevisiae NCIM 3090 from palmyra jaggery, was studied in a batch fermentor. Using Plackett-Burman design, impeller speed, concentrations of CoCl2 and KH2PO4 were identified as significant variables, which highly influenced ethanol production, and these variables were further optimized using a central composite design (CCD). The ethanol production was adequately approximated with a full quadratic equation obtained from three factors and five levels of CCD. Maximum ethanol concentration of 132.56 g/l (16.8% [v/v]) was obtained for an impeller speed of 247.179 ( approximately 250) rev/min, CoCl2 of 0.263 g/l and KH2PO4 of 2.39 g/l. A second-order polynomial regression model was fitted and was found adequate with R 2 of 0.8952. This combined statistical approach enables rapid identification and investigation of significant parameters for improving the ethanol production and could be very useful in optimizing processes.

HIV-1 envelope protein gp140 binding studies to human brain microvascular endothelial cells.

Human immunodeficiency virus type-1 (HIV-1) envelope glycoprotein gp140 interacts with its specific receptors on the surface of the target cells leading to cellular activation through various signaling pathways. The effect of blocking the chemokine repertoire in human brain microvascular endothelial cells in HIV dementia (HAD) disease has not been reported. Characterizing the nature of HIV-1 envelope protein gp140 (T-tropic, HXBc2) receptor binding conditions to HBMEC is critical to gain insight into the HIV dementia, and eventually to rationally design the agents to block envelope protein receptor interactions. HIV-1 gp140 oligomers were purified and separated to monomers, dimers, and trimers. The binding conditions of gp140 to HBMEC chemokine receptor, CXCR4, were optimized with an aim of understanding the structural interactions in HAD. Analysis of the interaction between HIV-1 gp140 and CXCR4 of HBMEC by saturation binding, cross-competition analysis with radiolabeled SDF and gp140, revealed a strong interaction, specificity between HIV-1 gp140 and CXCR4. Our binding data demonstrate that HIV-1 envelope protein gp140 enters cells by protein receptor mediated interactions that are regulated by the conformational state of the gp140 at physiological environment (pH and temperature). The CXCR4 antibody 12G5 inhibited SDF-1 binding to HBMEC indicating the specificity of gp140 binding to HBMEC. Scatchard analysis revealed the presence of approximately 70250 gp140 binding sites per cell with a K(d) of 4.5 nM. Cross-competition experiments using labeled SDF-1 and gp140 revealed that both unlabeled SDF-1 and gp140 are capable of displacing their radiolabeled counterparts. The binding assay conditions and radioligand binding assay are highly valuable to identify and design better HIV inhibitors for HAD.