Allelic Gene Polymorphisms Suspected to Diversify the Individual Early Metabolic Response Upon Influenza H3N2 and SARS-CoV-2 Infections

Recently, we identified early reactive oxygen species (ROS) and reactive nitrogen species (RNS) rebalancing as part of a major complex trait, named CoV-MAC-TED, that characterized host cell response on SARS-CoV-2 infections from two genetic virus variants.[1–3] Transcript level changes of the enzymes acetylserotonin O-methyltransferase-like (ASMTL) and alcohol dehydrogenase 5 (ADH5) were hypothesized to mark relevant adaptive ROS/RNS equilibration early during respiratory infections and preliminary validation in cultured primary target cells supported this view.[2] ASMTL is a paralog of ASMT, which is involved in final melatonin biosynthesis. ADH5, also known as S-nitrosoglutathione reductase, is involved in nitric oxide (NO) homeostasis.[1,2] In parallel to these studies, we released our results on ASMTL and ADH5 transcriptome accumulation from influenza H3N2-infected human nasal epithelial cells (NECs) that originated from seven healthy cell donator origins (D01–D07).[4] We observed that variability of ASMTL and ADH5 transcript levels linked to the timing of virus replication and that this connected to the initiation of the classical immune system response, when marked by interferon regulatory factor 9 (IRF9) transcript level changes. Cells of the donator D02 showed the highest ASMTL transcript levels among all cell origins at 8 hours post-infection (hpi), indicating rapidly unbalanced ROS/RNS that linked to the earliest immune response. On the contrary, transcript levels of ADH5 from D05 indicated early and over times highest NO stress among all seven origins, suggesting unbalanced ROS/RNS in favor of RNS. This response connected to the highest immune response at 24 hpi among all cell origins. In contrast, cells originating from D01 indicated a stably balanced relationship between ROS and RNS marked by ASMTL and ADH5 that associated to the lowest IRF9 response over all time points among the seven cell origins. This equilibrated response of D01 was in accordance with postponed influenza virus replication in relation to all other cell origins.[4] Of note, also under infection by two SARS-CoV-2 variants NECs from one of three donator origins displayed contrasting response to other donator cells as follows: lower transcript levels for enolase (representing glycolysis) and lactate dehydrogenase (representing aerobic fermentation) were observed at 24 hpi for cell cultures from origin D1 that linked to delayed replication of SARS-CoV-2.[3]These overall observations made us optimistic that our approach and marker systems in combination with appropriate primary target human cells could be promising, in general, to early identify differential individual host cell responses on viral infections. Concurrently, we hypothesized that this tool could also help to discriminate individuals through genetic polymorphisms in the relevant functional genes that relate to CoV-MAC-TED (see ReprogVirus gene set in References 1–4).ROS signaling is one of the earliest and relevant cell responses upon abiotic and biotic stresses that transmits any change in environment, including viral attacks, to structures and molecules (e.g., membranes, ion channels [Ca2+], enzymes, microtubulines), which then are crucially determining cell performance. Therefore, we studied polymorphisms in both highlighted marker genes for ROS/RNS balancing, ASMTL, and ADH5. As a first step, we checked the genetic material of the public transcriptome data of these seven donators for NECs.[5] The coding sequence of ADH5 was highly conservative. No sequence nucleotide polymorphisms or other major differences among the seven donor cell origins were encountered. To the contrary, we found several polymorphic sites (sequence nucleotide polymorphisms) in the coding sequence of the ASMTL gene (unpublished data). This might indicate a higher potential for acclimation acquired during evolution.In this brief report, we want to point to transcript level profiles that we observed for one of the polymorphic sites during early virus-induced cell reprogramming. In the upper part of Table 1, we demonstrate the crucial nucleotide for polymorphism in this site (G or A) for influenza H3N2-infected cells from seven donator origins. On the one hand, we observed the following cell origins with the same preferential nucleotide profile over times in this site: cells of D02, D03, and D07 show continuously G at all time points (0, 8, and 24 hpi); D04 and D06 display stably A, such as in the reference gene. On the other hand, we discovered for D01 and D05 unique differential transcript level profiles. Cells from D05 changed at 8 hpi to the preferential transcription of an allele, which shows A instead of G in this polymorphic site. However, at 24 hpi a change in preferential allelic transcription became visible through the reappearance of G instead of A. In contrast, at 8 hpi D01 changed in the same way as observed for D05 to preferential transcription of an allele that shows A instead of the initial G. However, in cells of D01 this allelic site continued longer to be preferentially transcribed and A is still the more frequent nucleotide seen at 24 hpi (boldface at 8 and 24 hpi). Post-infection time-dependent allelic genotyping profiles of the same polymorphic site was also found on infection by two SARS-CoV-2 variants that demonstrated diverse effects on disease severity.[3] ASMTL genotype profiles are shown for NECs from three donators (Table 1, lower part). Overall, these results demonstrate virus- and variant-specific allelic genotype profiles over times when both virus types (influenza H3N2 and SARS-CoV-2) and both SARS-CoV-2 variants are compared within each cell origin.In summary, and despite the restricted number of studied individual cell origins, these observations highlight to our view that efficient allelic genotyping for specific or general virus tolerance and immunophenotyping requires integrative studies on time-dependent individual transcript level changes in genes that were identified as relevant markers for early cell reprogramming, such as recently reported for CoV-MAC-TED.[2–4] Rapid switching between critical gene polymorphisms in critical binding sites can determine metabolic regulation, which in turn can result in differential performance. This was described in plant research for the ROS/RNS balancing gene alternative oxidase and its temperature-dependent interaction with pyruvate.[6] Furthermore, we suggest that high diversity in coding and noncoding sequences of crucial genes for early ROS/RNS balancing should be explored as a trait per se. This trait can support plasticity in the immune response. Consequently, we propose a discussion on a potential paradigm shift toward understanding immunology in a wider sense, which should consider ROS/RNS balancing during stress-induced early cell reprogramming. It is our hope that our rapid communication of these insights might help to avoid spending high amounts of personal and financial resources for less-focused, bottom-up gene polymorphism studies instead of top-down and then hypothesis-driven approaches.[7,8]