AbstractThe continuous evolution of SARS-CoV-2 has led to the emergence of several variants of concern (VOCs) that significantly affect global health. This study aims to investigate how these VOCs affect host cells at proteome level to better understand the mechanisms of disease. To achieve this, we first analyzed the (phospho)proteome changes of host cells infected with Alpha, Beta, Delta, and Omicron BA.1 and BA.5 variants over time frames extending from 1 to 36 h post infection. Our results revealed distinct temporal patterns of protein expression across the VOCs, with notable differences in the (phospho)proteome dynamics that suggest variant-specific adaptations. Specifically, we observed enhanced expression and activation of key components within crucial cellular pathways such as the RHO GTPase cycle, RNA splicing, and endoplasmic reticulum-associated degradation (ERAD)-related processes. We further utilized proximity biotinylation mass spectrometry (BioID-MS) to investigate how specific mutation of these VOCs influence viral–host protein interactions. Our comprehensive interactomics dataset uncovers distinct interaction profiles for each variant, illustrating how specific mutations can change viral protein functionality. Overall, our extensive analysis provides a detailed proteomic profile of host cells for each variant, offering valuable insights into how specific mutations may influence viral protein functionality and impact therapeutic target identification. These insights are crucial for the potential use and design of new antiviral substances, aiming to enhance the efficacy of treatments against evolving SARS-CoV-2 variants.

The continuous evolution of SARS-CoV-2 has led to the emergence of several variants of concern (VOCs) that significantly affect global health. This study aims to investigate how these VOCs affect host cells at proteome level to better understand the mechanisms of disease. To achieve this, we first analyzed the (phospho)proteome changes of host cells infected with Alpha, Beta, Delta, and Omicron BA.1 and BA.5 variants over time frames extending from 1 to 36 hours post-infection. Our results revealed distinct temporal patterns of protein expression across the VOCs, with notable differences in the (phospho)proteome dynamics that suggest variant-specific adaptations. Specifically, we observed enhanced expression and activation of key components within crucial cellular pathways such as the RHO GTPase cycle, RNA splicing, and ER-associated degradation (ERAD)-related processes. We further utilized proximity biotinylation Mass Spectrometry (BioID-MS) to investigate how specific mutation of these VOC influence viral-host protein interactions. Our comprehensive interactomics dataset uncovers distinct interaction profiles for each variant, illustrating on how specific mutations can change viral protein functionality. Overall, our extensive analysis provides a detailed proteomic profile of host cell for each variant, offering valuable insights into how specific mutations may influence viral protein functionality and impact therapeutic target identification. These insights are crucial for the design of new targeted interventions, aiming to enhance the efficacy of treatments against evolving SARS-CoV-2 variants.

The paper presents optimized methods for PCR and sequence typing of Streptococcus pneumoniae. The serotype composition of pneumococci isolated from children under 5 years of age with infections of the upper respiratory tract was analyzed using optimized methods. Between 2016 and 2021, there was a decrease in the frequency of serotypes included in the pneumococcal 13-valent conjugate vaccine (PCV13) from 94.1 to 25.8%, mainly due to the 6ABCD serogroup and the 19F serotype. The coverage of serotypes circulating in children with PCV15 and PCV20 vaccines was 28.1% and 41.6% in 2021, respectively. During the study period, the number of non-vaccine serogroups 11AD and 15AF, as well as serotypes that are not detected under this capsular PCR typing protocol, increased most significantly.

Background: In colorectal cancer (CRC), mutations of genes associated with the TGF-β/BMP signaling pathway, particularly affecting SMAD4, are known to correlate with decreased overall survival and it is assumed that this signaling axis plays a key role in chemoresistance. Methods: Using CRISPR technology on syngeneic patient-derived organoids (PDOs), we investigated the role of a loss-of-function of SMAD4 in sensitivity to MEK-inhibitors. CRISPR-engineered SMAD4R361H PDOs were subjected to drug screening, RNA-Sequencing, and multiplex protein profiling (DigiWest®). Initial observations were validated on an additional set of 62 PDOs with known mutational status. Results: We show that loss-of-function of SMAD4 renders PDOs sensitive to MEK-inhibitors. Multiomics analyses indicate that disruption of the BMP branch within the TGF-β/BMP pathway is the pivotal mechanism of increased drug sensitivity. Further investigation led to the identification of the SFAB-signature (SMAD4, FBXW7, ARID1A, or BMPR2), coherently predicting sensitivity towards MEK-inhibitors, independent of both RAS and BRAF status. Conclusion: We identified a novel mutational signature that reliably predicts sensitivity towards MEK-inhibitors, regardless of the RAS and BRAF status. This finding poses a significant step towards better-tailored cancer therapies guided by the use of molecular biomarkers.

e15524 Background: Biomarker discovery and development are essential for stratifying cancer patients in order to improve treatment outcomes. In colorectal cancer (CRC), mutations in the TGF-β/BMP pathway, especially in the SMAD4 gene have been correlated with decreased overall survival and are suspected to modulate drug sensitivity on the cellular level, hence SMAD4 mutations are worthwile targets for novel targeted therapy aproaches. Methods: In the present study, we uncover the mechanistic role of a loss-of-function mutation in SMAD4 in syngeneic patient-derived organoids (PDOs). CRISPR-engineered SMAD4R361H PDOs were subjected to a comparative drug screening, RNA-Sequencing and multiplex protein profiling analysis (DigiWest®). We have confirmed the response towards MEK inhibition of the initial model in an additional set of 62 PDOs with known mutational status. Results: We show that acquisition of SMAD4 loss-of-function mutations renders PDOs sensitive to MEK-inhibitors. Further, an activation of the TGF-β/BMP signaling pathway, specifically of the BMP branch was observed in SMAD4wt PDOs; indicating that BMP signaling is likely responsible for the resistance towards MEK inhibition. It is plausible that functional loss of SMAD4 and thus loss of BMP signaling renders SMAD4 mutated tumors more sensitive to MEK-inhibitors. By looking at additional genes involved in TGF-β/BMP signaling that are frequently mutated in CRC, we identified the novel gene mutational SFAB-signature ( SMAD4, FBXW7, ARID1A, or BMPR2), when at least one pathogenic mutation is present in these genes. The frequency of SFAB in CRC patient cohort (TCGA, n = 594) was comparable to the frequency of SFAB in our PDOs. For PDOs with SFAB-signature, we found up to 95% and 70% significant positive prediction for cobimetinib and selumetinib, respectively and also up to 70% positive prediction for trametinib. Thus, the SFAB-signature predicts response to MEK inhibition in PDOs with a very high confidence. We further investigated whether the RAS status of CRC PDOs does predict sensitivity to MEK inhibition. The RAS status alone and in combination with SFAB-signature failed to yield better prediction sensitivity to MEK-inhibitors. Conclusions: The present study is a significant step forward to more personalized treatment regimens for CRC patients by early inclusion of MEK-inhibitors. The SFAB-signature should be put to clinical testing as a RAS-independent biomarker for stratification of patients providing a valuable alternative treatment option against CRC, thus ensuring that all patients receive effective and specific therapies as early as possible.

Additional file 14: Table S10. List of motifs with significant E-value discovered based on upstream regions of upregulated genes in P. oligofermentans.

Background Psychrotrophic lactic acid bacteria (LAB) species are the dominant species in the microbiota of cold-stored modified-atmosphere-packaged food products and are the main cause of food spoilage. Despite the importance of psychrotrophic LAB, their response to cold or heat has not been studied. Here, we studied the transcriptome-level cold- and heat-shock response of spoilage lactic acid bacteria with time-series RNA-seq for Le. gelidum, Lc. piscium , and P. oligofermentans at 0 °C, 4 °C, 14 °C, 25 °C, and 28 °C. Results We observed that the cold-shock protein A ( cspA ) gene was the main cold-shock protein gene in all three species. Our results indicated that DEAD-box RNA helicase genes ( cshA , cshB ) also play a critical role in cold-shock response in psychrotrophic LAB. In addition, several RNase genes were involved in cold-shock response in Lc. piscium and P. oligofermentans. Moreover, gene network inference analysis provided candidate genes involved in cold-shock response. Ribosomal proteins, tRNA modification, rRNA modification, and ABC and efflux MFS transporter genes clustered with cold-shock response genes in all three species, indicating that these genes could be part of the cold-shock response machinery. Heat-shock treatment caused upregulation of Clp protease and chaperone genes in all three species. We identified transcription binding site motifs for heat-shock response genes in Le. gelidum and Lc. piscium. Finally, we showed that food spoilage-related genes were upregulated at cold temperatures. Conclusions The results of this study provide new insights on the cold- and heat-shock response of psychrotrophic LAB. In addition, candidate genes involved in cold- and heat-shock response predicted using gene network inference analysis could be used as targets for future studies.

The objective of this study was to clarify the intraspecies phylogenetic relationship between pneumococci strains from various geographical locations. Concatenated Multilocus sequence typing (MLST) sequences of six housekeeping genes were chosen for the phylogenetic tree construction. Trees, constructed for concatenated genes, revealed that there is a tendency for a clonal spread of antibiotic resistance. Interestingly, the isolates with novel or circulating mainly in Russia genotypes, described in this study, many are related to successful international clones, with the potential to spread.

JNJ-63623872 (formally known as VX-787; referred to here as JNJ872) is an orally bioavailable compound, which is in phase II clinical trials for the treatment of influenza A virus (IAV) infections. Here we show that JNJ872 inhibits at nanomolar concentrations the transcription of viral RNA in IAV-infected human macrophages by targeting a highly conserved site on the cap-snatching domain of influenza polymerase basic 2 protein (PB2). Furthermore, even lower concentrations of JNJ872 protected macrophages from IAV-mediated death when given in combination with 100 nM gemcitabine, which also attenuated transcription and replication of viral RNA. Importantly, treating human macrophages with JNJ872 allowed expression of many immune-related and other genes, involved in antiviral responses, such as indoleamine 2,3-dioxygenase 1 (IDO), and cytosolic 5'-nucleotidase 3A (NT5C3A). Moreover, our targeted metabolomics analysis indicate that treatment with JNJ782 did not interfere with metabolic responses to infection, which further supported our transcriptomics results. Thus, VX-737 alone or in combination with other drugs could be beneficial for treating IAV infected patients, because it would allow the development of antiviral responses and, thereby, protect individuals from current and future infections with closely related IAV strains.

Human influenza A viruses (IAVs) cause global pandemics and epidemics. These viruses evolve rapidly, making current treatment options ineffective. To identify novel modulators of IAV–host interactions, we re-analyzed our recent transcriptomics, metabolomics, proteomics, phosphoproteomics, and genomics/virtual ligand screening data. We identified 713 potential modulators targeting 199 cellular and two viral proteins. Anti-influenza activity for 48 of them has been reported previously, whereas the antiviral efficacy of the 665 remains unknown. Studying anti-influenza efficacy and immuno/neuro-modulating properties of these compounds and their combinations as well as potential viral and host resistance to them may lead to the discovery of novel modulators of IAV–host interactions, which might be more effective than the currently available anti-influenza therapeutics.

Here we analyzed whole-genome sequences of 3,969 influenza A(H1N1)pdm09 and 4,774 A(H3N2) strains that circulated during 2009–2015 in the world. The analysis revealed changes at 481 and 533 amino acid sites in proteins of influenza A(H1N1)pdm09 and A(H3N2) strains, respectively. Many of these changes were introduced as a result of random drift. However, there were 61 and 68 changes that were present in relatively large number of A(H1N1)pdm09 and A(H3N2) strains, respectively, that circulated during relatively long time. We named these amino acid substitutions evolutionary markers, as they seemed to contain valuable information regarding the viral evolution. Interestingly, influenza A(H1N1)pdm09 and A(H3N2) viruses acquired non-overlapping sets of evolutionary markers. We next analyzed these characteristic markers in vaccine strains recommended by the World Health Organization for the past five years. Our analysis revealed that vaccine strains carried only few evolutionary markers at antigenic sites of viral hemagglutinin (HA) and neuraminidase (NA). The absence of these markers at antigenic sites could affect the recognition of HA and NA by human antibodies generated in response to vaccinations. This could, in part, explain moderate efficacy of influenza vaccines during 2009–2014. Finally, we identified influenza A(H1N1)pdm09 and A(H3N2) strains, which contain all the evolutionary markers of influenza A strains circulated in 2015, and which could be used as vaccine candidates for the 2015/2016 season. Thus, genome-wide analysis of evolutionary markers of influenza A(H1N1)pdm09 and A(H3N2) viruses may guide selection of vaccine strain candidates.

First in Russia prospective non-interventional hospital-based study on Streptococcus pneumoniae serotypes causing meningitis and acute otitis media (AOM) in children and community-acquired pneumonia (CAP) in children and adults, as well as serotype coverage by pneumococcal conjugate vaccines (PCV’s) of different composition has been conducted. Serotypes 19F, 14 and serogroup 6 are the leading in meningitis; serotype coverage is 70,6% for PCV7, and 76,5% – for PCV10 and PCV13. Among S. pneumoniae serotypes causing AOM 19F, 3, 23F and serogroup 6 have been the most prevalent in Saint Petersburg. PCV7 and PCV10 provide equal serotypes coverage in AOM – 63,2% among children 0–2 years old, and 32,5% among children 5–17 years old. PCV13 covers up to 79% of serotypes in infants. In CAP PCV7 and PCV10 provide 57,1% serotype coverage in children and 56,1% – in adults. Serotype coverage in CAP for PCV13 has been 14,3% and 34,5% higher for children and adults, correspondingly. Obtained data supports PCV inclusion in children immunization program in Saint Petersburg, whereas PCV13 provides the broadest serotype coverage. In the course PCV’s implementation continued pneumococcal infection surveillance is advisable.

Analysis of clinical peculiarities and etiological structure of otites in 150 children of 0–5 years of age hospitalized with the diagnosis «acute otitis media», which was proved otoscopically and at paracentesis, was conducted. Fluid obtained at paracentesis was examined bacteriologically — in 128 cases, by the PCR method — in 129 cases. 121 disease cases were etiologically identified, pneumococcus was singled out in 93 children (76.9%), as the only causative agent — in 31.4%, in combination with other pathogens — in 45.5%. Pneumococcal serotyping showed that the singled out strains correspond to the pneumococcal infection conjugate vaccines registered in Russia, which is a reason for cohort immunization of small children.