Adalimumab and Infliximab Impair SARS-CoV-2 Antibody Responses: Results from a Therapeutic Drug Monitoring Study in 11 422 Biologic-Treated Patients.

BACKGROUND AND AIMS: Infliximab attenuates serological responses to SARS-CoV-2 infection. Whether this is a class effect, or if anti-tumour necrosis factor [anti-TNF] level influences serological responses, remains unknown. METHODS: Seroprevalence and the magnitude of SARS-CoV-2 nucleocapsid antibody responses were measured in surplus serum from 11 422 (53.3% [6084] male; median age 36.8 years) patients with immune-mediated inflammatory diseases, stored at six therapeutic drug monitoring laboratories between January 29 and September 30, 2020. Data were linked to nationally held SARS-CoV-2 PCR results to July 11, 2021. RESULTS: Rates of PCR-confirmed SARS-CoV-2 infection were similar across treatment groups. Seroprevalence rates were lower in infliximab- and adalimumab- than vedolizumab-treated patients (infliximab: 3.0% [178/5893], adalimumab: 3.0% [152/5074], vedolizumab: 6.7% [25/375], p = 0.003). The magnitude of SARS-CoV-2 reactivity was similar in infliximab- vs adalimumab-treated patients (median 4.30 cut-off index [COI] [1.94-9.96] vs 5.02 [2.18-18.70], p = 0.164), but higher in vedolizumab-treated patients (median 21.60 COI [4.39-68.10, p < 0.004). Compared to patients with detectable infliximab and adalimumab drug levels, patients with undetectable drug levels [<0.8 mg/L] were more likely to be seropositive for SARS-CoV-2 antibodies. One-third of patients who had PCR testing prior to antibody testing failed to seroconvert, all were treated with anti-TNF. Subsequent positive PCR-confirmed SARS-CoV-2 was seen in 7.9% [12/152] of patients after a median time of 183.5 days [129.8-235.3], without differences between drugs. CONCLUSION: Anti-TNF treatment is associated with lower SARS-CoV-2 nucleocapsid seroprevalence and antibody reactivity when compared to vedolizumab-treated patients. Higher seropositivity rates in patients with undetectable anti-TNF levels support a causal relationship, although confounding factors, such as combination therapy with a immunomodulator, may have influenced the results.

Automation of the Whole-Blood Thiopurine S-Methyltransferase (TPMT) Phenotyping Assay Using the Biomek NXP and Biomek i5 Liquid-Handling Workstations.

Assessment of thiopurine S-methyltransferase (TPMT) status is required before commencing thiopurine treatment to reduce the potential for adverse drug reactions. Our laboratory has provided a national TPMT phenotyping service since 2003. Our assay uses 6-thioguanine as substrate and detection of 6-methylthioguanine via high-performance liquid chromatography (HPLC) fluorescence. Here, we report the automation of this complex, labor-intensive, manual assay using the Biomek NXP and Biomek i5 liquid-handling workstations. We optimized assay performance and validated for precision, linearity, and lower limit of quantitation. We also compared results from the manual and automated methods. Primary sample mixing and aliquoting were performed on the Biomek NXP. On-board inversions (n = 10) replaced offline mixing. No carryover was observed. Eleven percent of primary sample tubes were incompatible with the Biomek NXP, and these were assayed manually. The Biomek i5 was used to automate the enzyme assay. Optimum vortex mixing was achieved at 2500 rpm for 60 s, and the temperature was set to 37.0 °C for the 60 min enzyme incubation. Intra- and inter-assay precision were excellent, with coefficients of variation (CVs) of ≤2.3% and ≤7.4%, respectively, for patient samples. Linearity was demonstrated up to 199 mIU/L (R2 = 0.992), with a lower limit of quantitation of 3.9 mIU/L. Correlation between the manual and automated methods was good (R2 = 0.979, n = 405), with results being interchangeable. We have successfully developed and validated a novel automated method for the TPMT phenotyping enzyme assay. The two methods are cost-neutral. Automation of other complex enzyme assays may be possible using this approach.

Prospero maintains the mitotic potential of glial precursors enabling them to respond to neurons.

During central nervous system development, glial cells need to be in the correct number and location, at the correct time, to enable axon guidance and neuropile formation. Repair of the injured or diseased central nervous system will require the manipulation of glial precursors, so that the number of glial cells is adjusted to that of neurons, enabling axonal tracts to be rebuilt, remyelinated and functional. Unfortunately, the molecular mechanisms controlling glial precursor proliferative potential are unknown. We show here that glial proliferation is regulated by interactions with axons and that the Drosophila gene prospero is required to maintain the mitotic potential of glia. During growth cone guidance, Prospero positively regulates cycE promoting cell proliferation. Neuronal Vein activates the MAPKinase signalling pathway in the glia with highest Prospero levels, coupling axon extension with glial proliferation. Later on, Prospero maintains glial precursors in an undifferentiated state by activating Notch and antagonising the p27/p21 homologue Dacapo. This enables prospero-expressing cells alone to divide further upon elimination of neurons and to adjust glial number to axons during development.