A novel alternative for pyrogen detection based on a transgenic cell line.

Pyrogen, often as a contaminant, is a key indicator affecting the safety of almost all parenteral drugs (including biologicals, chemicals, traditional Chinese medicines and medical devices). It has become a goal to completely replace the in vivo rabbit pyrogen test by using the in vitro pyrogen test based on the promoted 'reduction, replacement and refinement' principle, which has been highly considered by regulatory agencies from different countries. We used NF-κB, a central signalling molecule mediating inflammatory responses, as a pyrogenic marker and the monocyte line THP-1 transfected with a luciferase reporter gene regulated by NF-κB as an in vitro model to detect pyrogens by measuring the intensity of a fluorescence signal. Here, we show that this test can quantitatively and sensitively detect endotoxin (lipopolysaccharide from different strains) and nonendotoxin (lipoteichoic acid, zymosan, peptidoglycan, lectin and glucan), has good stability in terms of NF-κB activity and cell phenotypes at 39 cell passages and can be applied to detect pyrogens in biologicals (group A & C meningococcal polysaccharide vaccine; basiliximab; rabies vaccine (Vero cells) for human use, freeze-dried; Japanese encephalitis vaccine (Vero cells), inactivated; insulin aspart injection; human albumin; recombinant human erythropoietin injection (CHO Cell)). The within-laboratory reproducibility of the test in three independent laboratories was 85%, 80% and 80% and the interlaboratory reproducibility among laboratories was 83.3%, 95.6% and 86.7%. The sensitivity (true positive rate) and specificity (true negative rate) of the test were 89.9% and 90.9%, respectively. In summary, the test provides a novel alternative for pyrogen detection.

The Immunogenicity of CpG, MF59-like, and Alum Adjuvant Delta Strain Inactivated SARS-CoV-2 Vaccines in Mice.

The continuous evolution and mutation of SARS-CoV-2 have highlighted the need for more effective vaccines. In this study, CpG, MF59-like, and Alum adjuvant Delta strain inactivated SARS-CoV-2 vaccines were prepared, and the immunogenicity of these vaccines in mice was evaluated. The Delta + MF59-like vaccine group produced the highest levels of S- and RBD-binding antibodies and live Delta virus neutralization levels after one shot of immunization, while mice in the Delta + Alum vaccine group had the highest levels of these antibodies after two doses, and the Delta + MF59-like and Delta + Alum vaccine groups produced high levels of cross-neutralization antibodies against prototype, Beta, and Gamma strain SARS-CoV-2 viruses. There was no significant decrease in neutralizing antibody levels in any vaccine group during the observation period. CpG, MF59-like, and Alum adjuvant Delta strain inactivated SARS-CoV-2 vaccines excited different antibody subtypes compared with unadjuvanted vaccines; the Delta + CpG vaccine group had a higher proportion of IgG2b antibodies, indicating bias towards Th1 immunity. The proportions of IgG1 and IgG2b in the Delta + MF59-like vaccine group were similar to those of the unadjuvanted vaccine. However, the Delta + Alum vaccine group had a higher proportion of IgG1 antibodies, indicating bias towards Th2 immunity. Antigen-specific cytokine secretion CD4/8+ T cells were analyzed. In conclusion, the results of this study show differences in the immune efficacy of CpG, MF59-like, and Alum adjuvant Delta strain inactivated SARS-CoV-2 vaccines in mice, which have significant implications for the selection strategy for vaccine adjuvants.

Independent Protection and Influence of the Spike-Specific Antibody Response of SARS-CoV-2 Nucleocapsid Protein (N) in Whole-Virion Vaccines.

Of all of the components in SARS-CoV-2 inactivated vaccines, nucleocapsid protein (N) is the most abundant and highly conserved protein. However, the function of N in these vaccines, especially its influence on the targeted spike protein's response, remains unknown. In this study, the immunization of mice with the N protein alone was shown to reduce the viral load, alleviating pulmonary pathological lesions after challenge with the SARS-CoV-2 virus. In addition, co-immunization and pre-immunization with N were found to induce higher S-specific antibody titers rather than compromise them. Remarkably, the same trend was also observed when N was administered as the booster dose after whole inactivated virus vaccination. N-specific IFN-γ-secreting T cell response was detected in all groups and exhibited a certain relationship with S-specific IgG antibody improvements. Together, these data indicate that N has an independent role in vaccine-induced protection and improves the S-specific antibody response to inactivated vaccines, revealing that an interplay mechanism may exist in the immune responses to complex virus components.

Safety and immunogenicity of a modified Omicron-adapted inactivated vaccine in healthy adults: a randomized, double-blind, active-controlled Phase III clinical trial.

Background: Updated vaccine strategies are needed to protect against new SARS-CoV-2 variants with increased immune escape. Here, information on the safety and immunogenicity of an inactivated Omicron-adapted vaccine is presented, as compared with CoronaVac. Methods: A randomized, double-blind, active-controlled, phase III clinical trial was conducted to compare a modified Omicron-adapted vaccine (Omicron vaccine) with the authorized prototype vaccine (CoronaVac®) as a booster dose. Healthy adults aged ≥18 years, who have previously received 2 or 3 doses of CoronaVac (2C or 3C cohort) at least 6 months before, were enrolled to get a booster dose of Omicron vaccine or CoronaVac in a ratio of 2:1 (2C/3C+1O/1C). Back-up serums after two initial doses of CoronaVac (2C+0) for adults aged 26-45 years were collected from a previous study. Immunogenicity and safety data at 28 days after vaccination were collected and analyzed. One of the primary objectives was to evaluate the superiority of immunogenicity of Omicron vaccine booster against Omicron BA.1, compared with CoronaVac booster against BA.1. Another objective was to evaluate the non-inferiority of immunogenicity of Omicron vaccine booster against BA.1, compared with two initial doses of CoronaVac against ancestral strain. Results: Between June 1st and July 21st, 2022, a total of 1,500 healthy adults were enrolled. Results show that all pre-specified superiority criteria for BA.1 neutralizing antibody were met. Specifically, within the 3C cohort (3C+1O vs. 3C+1C), the geometric mean titers' (GMT) ratio and 95% confidence interval (CI) was 1.64 (1.42, 1.89), with the lower 95%CI ≥1; a GMT ratio of 1.84 (1.57, 2.16) was observed for 2C+1O versus 3C+1C. For seroconversion rate, the lower 95%CIs of differences between immuno-comparative groups (2/3C+1O vs. 3C+1C) were all above the superiority criterion 0%. However, the non-inferiority criterion of the lower 95%CI of GMT ratio ≥2/3 was unfulfilled for 2C/3C+1O against BA.1 versus 2C+0 against ancestral strain. Safety profiles were similar between groups, with no safety concerns identified. Conclusion: The Omicron-adapted vaccine was well-tolerated and could elicit superior immune responses as compared with CoronaVac against Omicron, while it appeared inferior to CoronaVac against ancestral strain. Clinical trial registration: https://classic.clinicaltrials.gov/ct2/show/NCT05381350?term=NCT05381350&draw=2&rank=1, identifier NCT05381350.

The Quantification of Spike Proteins in the Inactivated SARS-CoV-2 Vaccines of the Prototype, Delta, and Omicron Variants by LC-MS.

Developing variant vaccines or multivalent vaccines is a feasible way to address the epidemic as the SARS-CoV-2 variants of concern (VOCs) posed an increased risk to global public health. The spike protein of the SARS-CoV-2 virus was usually used as the main antigen in many types of vaccines to produce neutralizing antibodies against the virus. However, the spike (S) proteins of different variants were only differentiated by a few amino acids, making it difficult to obtain specific antibodies that can distinguish different VOCs, thereby challenging the accurate distinction and quantification of the variants using immunological methods such as ELISA. Here, we established a method based on LC-MS to quantify the S proteins in inactivated monovalent vaccines or trivalent vaccines (prototype, Delta, and Omicron strains). By analyzing the S protein sequences of the prototype, Delta, and Omicron strains, we identified peptides that were different and specific among the three strains and synthesized them as references. The synthetic peptides were isotopically labeled as internal targets. Quantitative analysis was performed by calculating the ratio between the reference and internal target. The verification results have shown that the method we established had good specificity, accuracy, and precision. This method can not only accurately quantify the inactivated monovalent vaccine but also could be applied to each strain in inactivated trivalent SARS-CoV-2 vaccines. Hence, the LC-MS method established in this study can be applied to the quality control of monovalent and multivalent SARS-CoV-2 variation vaccines. By enabling more accurate quantification, it will help to improve the protection of the vaccine to some extent.

Development and validation of a reporter gene assay for bioactivity determination of Anti-CGRP monoclonal antibodies.

Calcitonin gene-related peptide (CGRP) is critical for the pathophysiology of migraine, and four therapeutic antibodies targeting CGRP and its corresponding receptors have been approved by the Food and Drug Administration (FDA), while many others are in the different stages of clinical trials. Bioactivity determination is essential for the quality control and clinical application of therapeutic monoclonal antibodies (mAbs). However, no bioassay has been reported to date. In this study, we developed a reporter gene assay (RGA) based on SK-N-MC cells stably expressing firefly luciferase driven by cAMP response element (CRE). The key assay parameters were optimized according to signal-to-noise (SNR), the response value, and the fitted dose-response curve. Validation of the RGA in accordance with ICH-Q2 guidelines showed that the method had good specificity, accuracy, linearity, and precision. The established RGA can be utilized as a reference method for release testing and stability studies of relevant antibodies.

A robust reporter assay for the determination of the bioactivity of IL-4R-targeted therapeutic antibodies.

Type 2 inflammatory cytokines, including IL-4, IL-5 and IL-13, contribute considerably to the pathogenesis of asthma. Anti-IL-4R monoclonal antibody (mAb) has been approved for the therapeutic treatment of asthma, and many mAbs with the same target are in the different stages of R&D and clinical trials. Bioactivity determination is required to ensure the quality control of mAbs. However, current ELISA and SPR assays or cell-based anti-proliferation assays for IL-4R mAbs are either not mechanism-of-action (MOA) representative or tedious and time consuming. Therefore, we developed a reporter gene assay (RGA) based on the HEK-293 cell line that stably expressed signal transducer and activator of transcription 6 (STAT6) and the luciferase reporter controlled by STAT6 binding elements. Anti-4R mAb could bind to IL-4R, and block the interaction between IL-4 and IL-4R, resulting in the reduction of IL-4 induced STAT6 controlled luciferase expression. After careful optimization of the experiment parameters, the RGA method demonstrated optimal dose-response curve between anti-IL-4R mAb concentration and luciferase expression level. Validation according ICH-Q2 proved the excellent assay performance characteristics of the established RGA, including specificity, accuracy, precision, linearity and range. The established transgenic cell line was stable for the bioactivity determination of anti-IL-4R mAb up to 46 generations, and the RGA was also suitable for the bioactivity determination of anti-IL-4 mAbs, and potentially of anti-IL-13 mAbs. The established RGA could be adopted to determine the bioactivity during the development, characterization, lot release, stability, and comparability studies of anti-IL-4R mAbs.

Development of an antibody-dependent cellular cytotoxicity reporter assay for measuring anti-Middle East Respiratory Syndrome antibody bioactivity.

Middle East Respiratory Syndrome coronavirus (MERS-CoV) is a highly virulent pathogen that causes Middle East Respiratory Syndrome (MERS). Anti-MERS-CoV antibodies play an integral role in the prevention and treatment against MERS-CoV infections. Bioactivity is a key quality attribute of therapeutic antibodies, and high accuracy and precision are required. The major methods for evaluating the antiviral effect of antiviral antibodies include neutralization assays using live viruses or pseudoviruses are highly variable. Recent studies have demonstrated that the antibody-dependent cellular cytotoxicity (ADCC) activity of antiviral antibodies is more consistent with the virus clearance effect in vivo than neutralization activity. However, no reports evaluating the ADCC activity of anti-MERS antibodies have been published to date. Here, we describe the development of a robust and reliable cell-based reporter gene assay for the determination of ADCC activity of anti-MERS antibodies using 293T/MERS cells stably expressing the spike protein of MERS-CoV (MERS-S) as target cells and the engineered Jurkat/NFAT-luc/FcγRIIIa stably expressing FcγRIIIA and NFAT reporter gene as effector cells. According to the ICH-Q2 analytical method guidelines, we carefully optimized the experimental conditions and assessed the performance of our assay. In addition, we found that the ADCC activity of afucosylated anti-MERS antibodies is higher than their fucosylated counterparts. The establishment of this ADCC determination system provides a novel method for evaluating the bioactivity of anti-MERS antibodies and improving ADCC activity through modification of N-glycosylation of the Fc segment.

Susceptibilities of Malassezia strains from pityriasis versicolor, Malassezia folliculitis and seborrheic dermatitis to antifungal drugs.

The human pathogenic yeast genus Malassezia may be an etiological agent of skin disorders and has received considerable attention from dermatologists in recent years. To investigate the different susceptibilities of Malassezia species to four antifungal drugs, we isolated a total of 244 Malassezia strains and identified six species of Malassezia from patients with clinical skin diseases. The minimum inhibitory concentration (MIC) of the four antifungal drugs was obtained by comparing the susceptibility of the isolated Malassezia strains to four antifungal drugs (ketoconazole (KTZ), itraconazole (ITZ), fluconazole (FLC) and amphotericin B (Am B)). We demonstrated that M. furfur, M. sympodialis, M. pachydermatis and M. globosa are the most common Malassezia species in the three skin diseases. The MICs of KTZ, ITZ, FLC and Am B against M. furfur, M. sympodialis, M. pachydermatis and M. globosa ranged from 0.03 - 16 mg/L, 0.03 - 2.0 mg/L, 0.03 - 8 mg/L, and 13 - 64 mg/L, respectively. The sensitivities of Malassezia to the four antifungal drugs from high to low were ITZ ≥ KTZ > Am B > FLC. The susceptibilities of the various Malassezia species to the four antifungal drugs were different, and the susceptibility of M. furfur to KTZ was significantly different from those of the three skin diseases (pityriasis versicolor, Malassezia folliculitis and seborrheic dermatitis). Our results suggested that the MIC analysis of the four antifungal drugs would be helpful in preventing drug resistance in the clinical screening of Malassezia and choosing better antifungal drugs to treat Malassezia-associated skin diseases.

A reporter gene assay for measuring the bioactivity of anti-LAG-3 therapeutic antibodies.

Although enormous success has been achieved with anti-PD-1/PD-L1 and anti-CTLA-4 monoclonal antibodies (mAbs), their unsatisfactory response rate in cancer patients has been driving the research and development of novel immune checkpoint inhibitors (ICIs). Anti-LAG-3 mAbs, as one of the most promising candidates, are now being tested for various human cancers at different stages of clinical trials. Here, we describe the development and validation of a reporter gene assay (RGA) to measure the bioactivity of anti-LAG-3 mAbs. We established the bioassay based on parental Raji cells and a Jurkat cell line stably transfected with human LAG-3 gene and luciferase reporter elements controlled by nuclear factor of activated T cell (NFAT) from the IL-2 promoter. After optimization of key parameters, the established RGA showed excellent precision, specificity, accuracy, and stability. The mechanism of action (MOA) relatedness and the excellent assay performance make the RGA suitable for the characterization, lot release, and stability test of anti-LAG-3 mAbs.

Characterization of a reliable cell-based reporter gene assay for measuring bioactivities of therapeutic anti-interleukin-23 monoclonal antibodies.

Environmental disturbances may result in dysregulation of interleukin-23 (IL-23), which is a crucial modulator of immunity. Several therapeutic monoclonal antibodies (mAbs) have been developed for treating IL-23-related autoimmune inflammation, such as ustekinumab, guselkumab, tildrakizumab, and risankizumab. Accurate bioactivity determination of therapeutic mAbs is essential for their quality control and clinical application. However, the current methods are tedious and complicated. In the present study, we employed low-background lentivirus carrying sis-inducible element (SIE)-driven firefly luciferase to generate a stable DB-SIE-Luc cell line that expresses endogenous IL-23 receptors and developed a sensitive and straightforward reporter gene assay (RGA) based on DB-SIE-Luc cells. After the optimization of various assay parameters, we set up a bioassay with the best fit of a four-parameter model and an appropriate signal-to-noise ratio (SNR) for bioactivity determination of guselkumab. We further verified the excellent assay performance characteristics of our RGA, including specificity, linearity, accuracy, precision, and stability, according to ICH-Q2. Taken together, we established a reliable and robust cell-based RGA, which potentially serves as a valubale alternative bioactivity determination assay for the release control and stability study of anti-IL-23 mAbs.

Role of Vitamin C in Skin Diseases.

Vitamin C (ascorbic acid) plays an important role in maintaining skin health and can promote the differentiation of keratinocytes and decrease melanin synthesis, leading to antioxidant protection against UV-induced photodamage. Normal skin needs high concentrations of vitamin C, which plays many roles in the skin, including the formation of the skin barrier and collagen in the dermis, the ability to counteract skin oxidation, and the modulation of cell signal pathways of cell growth and differentiation. However, vitamin C deficiency can cause or aggravate the occurrence and development of some skin diseases, such as atopic dermatitis (AD) and porphyria cutanea tarda (PCT). Levels of vitamin C in plasma are decreased in AD, and vitamin C deficiency may be one of the factors that contributes to the pathogenesis of PCT. On the other hand, high doses of vitamin C have significantly reduced cancer cell viability, as well as invasiveness, and induced apoptosis in human malignant melanoma. In this review, we will summarize the effects of vitamin C on four skin diseases (porphyria cutanea tarda, atopic dermatitis, malignant melanoma, and herpes zoster and postherpetic neuralgia) and highlight the potential of vitamin C as a therapeutic strategy to treat these diseases, emphasizing the clinical application of vitamin C as an adjuvant for drugs or physical therapy in other skin diseases.

Mathematical models for devising the optimal Ebola virus disease eradication.

BACKGROUND: The 2014-2015 epidemic of Ebola virus disease (EVD) in West Africa defines an unprecedented health threat for human. METHODS: We construct a mathematical model to devise the optimal Ebola virus disease eradication plan. We used mathematical model to investigate the numerical spread of Ebola and eradication pathways, further fit our model against the real total cases data and calculated infection rate as 1.754. RESULTS: With incorporating hospital isolation and application of medication in our model and analyzing their effect on resisting the spread, we demonstrate the second peak of 10,029 total cases in 23 days, and expect to eradicate EVD in 285 days. Using the regional spread of EVD with our transmission model analysis, we analyzed the numbers of new infections through four important transmission paths including household, community, hospital and unsafe funeral. CONCLUSIONS: Based on the result of the model, we find out the key paths in different situations and propose our suggestion to control regional transmission. We fully considers Ebola characteristics, economic and time optimization, dynamic factors and local condition constraints, and to make our plan realistic, sensible and feasible.