Effectiveness and duration of additional immune defense provided by SARS-CoV-2 infection before and after receiving the mRNA COVID-19 vaccine BNT162b2.

Background: Our investigation focused whether infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) before or after receiving the mRNA COVID-19 vaccine can increase immune protection. And we also investigated relationship of infection acquired. Methods: Three shots of the mRNA coronavirus disease 2019 (COVID-19) vaccine BNT162b2 were administered to 736 healthcare workers at Tokyo Shinagawa Hospital. Serum samples were collected before the first shot (P1), at one month (P2), and at six months (P3) after the second shot and at one month after the third shot (P4). The presence of infection was assessed using IgG against the nucleocapsid (IgG (N) and RBD in the spike protein of SARS-CoV-2. We defined infection before P2 as natural infection (NI) and infection between P2 and P3 as breakthrough infection (BI) and compared susceptibility to further infection between the NI (-) and NI (+) groups and between BI (-) and BI (+) groups. Events in 485 participants who had a complete dataset of IgG (N) and IgG (RBD) from P1 to P4 were analyzed. Results: The presence of SARS-CoV-2 infection before P2 were examined by examining the titers of IgG (N)P1, IgG (N) P2, and IgG (RBD) P1 that exceeded the cutoff values. Consequently, 35 participants (7.22 %) were categorized into the NI (+) group, whereas 450 (92.8 %) were categorized into the NI (-) group. Between P2 and P3, the NI (-) group showed a higher rate of SARS-CoV-2 infection than the NI (+) group; however, there was no significant difference in the infection rate between P3 and P4. The infection rate was significantly lower in the BI (+) group than in the BI (-) group. Pre-primary vaccination infection significantly increased IgG (RBD) levels between P1 and P3. Post-primary vaccination infection significantly increased IgG (RBD) levels between P3 and P4. Conclusions: Infection with SARS-CoV-2 before or after receiving the mRNA COVID-19 vaccine can increase immune protection; however, the duration of this effect may be limited.

Training high-performance deep learning classifier for diagnosis in oral cytology using diverse annotations.

The uncertainty of true labels in medical images hinders diagnosis owing to the variability across professionals when applying deep learning models. We used deep learning to obtain an optimal convolutional neural network (CNN) by adequately annotating data for oral exfoliative cytology considering labels from multiple oral pathologists. Six whole-slide images were processed using QuPath for segmenting them into tiles. The images were labeled by three oral pathologists, resulting in 14,535 images with the corresponding pathologists' annotations. Data from three pathologists who provided the same diagnosis were labeled as ground truth (GT) and used for testing. We investigated six models trained using the annotations of (1) pathologist A, (2) pathologist B, (3) pathologist C, (4) GT, (5) majority voting, and (6) a probabilistic model. We divided the test by cross-validation per slide dataset and examined the classification performance of the CNN with a ResNet50 baseline. Statistical evaluation was performed repeatedly and independently using every slide 10 times as test data. For the area under the curve, three cases showed the highest values (0.861, 0.955, and 0.991) for the probabilistic model. Regarding accuracy, two cases showed the highest values (0.988 and 0.967). For the models using the pathologists and GT annotations, many slides showed very low accuracy and large variations across tests. Hence, the classifier trained with probabilistic labels provided the optimal CNN for oral exfoliative cytology considering diagnoses from multiple pathologists. These results may lead to trusted medical artificial intelligence solutions that reflect diverse diagnoses of various professionals.

Dissection of an ABC transporter LolCDE function analyzed by photo-crosslinking.

The envelope of Escherichia coli contains approximately 100 different species of lipoproteins, most of which are localized to the inner leaflet of the outer membrane. The localization of lipoprotein (Lol) system, consisting of five Lol proteins, is responsible for the trafficking of lipoproteins to the outer membrane. LolCDE binds to lipoproteins destined for the outer membrane and transfers them to the periplasmic chaperone LolA. Although the cryo-EM structures of E. coli LolCDE have been reported, the mechanisms by which outer membrane lipoproteins are transferred to LolA remain elusive. In this study, we investigated the interaction between LolCDE and lipoproteins using site-specific photo-crosslinking. We introduced a photo-crosslinkable amino acid into different locations across the four helices which form the central lipoprotein-binding cavity, and identified domains that crosslink with peptidoglycan-associated lipoprotein (Pal) in vivo. Using one of the derivatives containing the photo-crosslinkable amino acid, we developed an in vitro system to analyze the binding of lipoproteins to LolCDE. Our results indicate that compound 2, a LolCDE inhibitor, does not inhibit the binding of lipoproteins to LolCDE, but rather promotes the dissociation of bound lipoproteins from LolCDE.

Effectiveness of deep learning classifiers in histopathological diagnosis of oral squamous cell carcinoma by pathologists.

The study aims to identify histological classifiers from histopathological images of oral squamous cell carcinoma using convolutional neural network (CNN) deep learning models and shows how the results can improve diagnosis. Histopathological samples of oral squamous cell carcinoma were prepared by oral pathologists. Images were divided into tiles on a virtual slide, and labels (squamous cell carcinoma, normal, and others) were applied. VGG16 and ResNet50 with the optimizers stochastic gradient descent with momentum and spectral angle mapper (SAM) were used, with and without a learning rate scheduler. The conditions for achieving good CNN performances were identified by examining performance metrics. We used ROCAUC to statistically evaluate diagnostic performance improvement of six oral pathologists using the results from the selected CNN model for assisted diagnosis. VGG16 with SAM showed the best performance, with accuracy = 0.8622 and AUC = 0.9602. The diagnostic performances of the oral pathologists statistically significantly improved when the diagnostic results of the deep learning model were used as supplementary diagnoses (p-value = 0.031). By considering the learning results of deep learning model classifiers, the diagnostic accuracy of pathologists can be improved. This study contributes to the application of highly reliable deep learning models for oral pathological diagnosis.

Crystal structures of multidrug efflux transporters from Burkholderia pseudomallei suggest details of transport mechanism.

BpeB and BpeF are multidrug efflux transporters from Burkholderia pseudomallei that enable multidrug resistance. Here, we report the crystal structures of BpeB and BpeF at 2.94 Å and 3.0 Å resolution, respectively. BpeB was found as an asymmetric trimer, consistent with the widely-accepted functional rotation mechanism for this type of transporter. One of the monomers has a distinct structure that we interpret as an intermediate along this functional cycle. Additionally, a detergent molecule bound in a previously undescribed binding site provides insights into substrate translocation through the pathway. BpeF shares structural similarities with the crystal structure of OqxB from Klebsiella pneumoniae, where both are symmetric trimers composed of three "binding"-state monomers. The structures of BpeB and BpeF further our understanding of the functional mechanisms of transporters belonging to the HAE1-RND superfamily.

Structure-Based Analysis of Transient Interactions between Ketosynthase-like Decarboxylase and Acyl Carrier Protein in a Loading Module of Modular Polyketide Synthase.

Ketosynthase-like decarboxylase (KSQ) domains are widely distributed in the loading modules of modular type I polyketide synthases (PKSs) and catalyze the decarboxylation of the (alkyl-)malonyl unit bound to the acyl carrier protein (ACP) in the loading module for the construction of the PKS starter unit. Previously, we performed a structural and functional analysis of the GfsA KSQ domain involved in the biosynthesis of macrolide antibiotic FD-891. We furthermore revealed the recognition mechanism for the malonic acid thioester moiety of the malonyl-GfsA loading module ACP (ACPL) as a substrate. However, the exact recognition mechanism for the GfsA ACPL moiety remains unclear. Here, we present a structural basis for the interactions between the GfsA KSQ domain and GfsA ACPL. We determined the crystal structure of the GfsA KSQ-acyltransferase (AT) didomain in complex with ACPL (ACPL=KSQAT complex) by using a pantetheine crosslinking probe. We identified the key amino acid residues involved in the KSQ domain-ACPL interactions and confirmed the importance of these residues by mutational analysis. The binding mode of ACPL to the GfsA KSQ domain is similar to that of ACP to the ketosynthase domain in modular type I PKSs. Furthermore, comparing the ACPL=KSQAT complex structure with other full-length PKS module structures provides important insights into the overall architectures and conformational dynamics of the type I PKS modules.

Serological response to a third dose of SARS-CoV-2 vaccine according to previous infection history.

The IgG antibody titer against SARS-CoV-2 receptor binding protein (RBD) after mRNA vaccine were compared between those with and without previous infection (PI) for up to 48 weeks. Though sustained higher IgG-RBD were observed in the PI group after two doses of vaccines, both groups benefited from the booster shots of the third vaccine. This data supports the necessity of the booster shots to those with PI.

Identification of key amino acid residues in OqxB mediated efflux of fluoroquinolones using site-directed mutagenesis.

OqxB belongs to the RND (Resistance-Nodulation-Division) efflux pump family, recognized widely as a major contributor towards enhancing antimicrobial resistance. It is known to be predominantly present in all Klebsiella spp. and is attributed for its role in increasing resistance against an array of antibiotics like nitrofurantoin, quinolones, ß-lactams and colistin. However, the presence of oqxB encoding this efflux pump is not limited only to Klebsiella spp., but is also found to occur via horizontal gene transfer in other bacterial genera like Escherichia coli, Enterobacter cloacae and Salmonella spp. Recently, we reported the crystal structure of OqxB and its structure-function relationship required for the efflux of fluoroquinolones. Extending these findings further, we characterized the structural architecture of this efflux pump along with identifying some critical amino acids at the substrate binding domain of OqxB. Based on our in silico modelling studies, both hydrophobic residues (F180, L280, L621, F626) and polar residues (R48, E50, E184, R157, R774) were found to be located at this site. The present work reports the importance of these key amino acid residues and the crucial ion-pair interactions at the substrate-binding pocket, thereby establishing their role in OqxB mediated efflux and the resultant resistance development against fluoroquinolones.

Frequencies of Anti-Troponin I vs Anti-Troponin T Autoantibodies and Degrees of Interference on Troponin Assays.

OBJECTIVE: Presence of autoantibodies against troponin I (cTnI) or T (cTnT) has been reported to interfere with troponin assays. However, the extent of the interference with the measurement has not been explored sufficiently. The aims of this study were to examine the frequencies of autoantibodies against troponin I and troponin T and how much these antibodies would affect the measurement. METHODS: The study comprised 52 subjects who visited Hokkaido University Hospital with suspected ischemic heart diseases. To evaluate the presence of autoantibodies, we calculated the recoveries of cTnI or cTnT after immunoglobulin G depletion, and the distributions of peaks reactive with cTnI or cTnT by high-performance liquid chromatography were examined. RESULTS: Autoantibodies against cTnI and cTnT were identified in 8 subjects (15.4%) and 1 subject (1.9%), respectively. Although the greatest difference between cTnI and cTnT was 32-fold, the distributions of cTnI-to-cTnT ratios in groups with and without anti-cTnI were not statistically different. CONCLUSION: Autoantibodies against cTnI were more frequent by several fold than those against cTnT. Their presence did not significantly expand the discrepancy between cTnI and cTnT assays.

Real-time monitoring of polyacrylamide gel electrophoresis by the shadowgraph technique.

Polyacrylamide gel electrophoresis (PAGE) with sodium dodecyl sulphate (SDS) and Coomassie brilliant blue (CBB) staining is widely used in protein research and requires time for electrophoresis, staining and destaining. Because the protein bands electrophoresed in the gel are invisible in most cases, the results cannot be observed until the whole process is complete. In this study, shadowgraph was applied to detect biomolecules such as proteins during electrophoresis. A simple optical system and camera-enabled real-time monitoring of migration and separation of individual protein bands in polyacrylamide gels without staining. The visibility was high enough that it was possible to visualize substances other than proteins, such as DNA. This method provides protein profiles instantly in the early stage of electrophoresis. The elimination of the staining and destaining steps will help save researchers' time. The method is also environmentally friendly and will help reduce the generation of waste solutions containing synthetic dyes.

Transient Methionine Deprivation Triggers Histone Modification and Potentiates Differentiation of Induced Pluripotent Stem Cells.

Human induced pluripotent stem cells (iPSCs) require high levels of methionine (Met). Met deprivation results in a rapid decrease in intracellular S-adenosyl-methionine (SAM), poising human iPSCs for differentiation and leading to the apoptosis of undifferentiated cells. Met deprivation triggers rapid metabolic changes, including SAM, followed by reversible epigenetic modifications. Here, we show that short-term Met deprivation impairs the pluripotency network through epigenetic modification in a 3D suspension culture. The trimethylation of lysine 4 on histone H3 (H3K4me3) was drastically affected compared with other histone modifications. Short-term Met deprivation specifically affects the transcription start site (TSS) region of genes, such as those involved in the transforming growth factor ß pathway and cholesterol biosynthetic process, besides key pluripotent genes such as NANOG and POU5F1. The expression levels of these genes decreased, correlating with the loss of H3K4me3 marks. Upon differentiation, Met deprivation triggers the upregulation of various lineage-specific genes, including key definitive endoderm genes, such as GATA6. Upon differentiation, loss of H3K27me3 occurs in many endodermal genes, switching from a bivalent to a monovalent (H3K4me3) state. In conclusion, Met metabolism maintains the pluripotent network with histone marks, and their loss potentiates differentiation.

Circulating tumor cells and cell-free tumor DNA analyses in urothelial cancer using the LiquidBiopsy platform.

Background: Emerging data suggested that liquid biopsy such as detection of circulating tumor cells (CTCs) and cell-free tumor DNA analysis augments the management of patients with urothelial cancer (UC). We presented our pilot experience of liquid biopsy using the Ion Torrent platform to detect CTCs and genomic alterations in UC. Materials and methods: Blood or urine samples from 16 patients were subjected to CTC and plasma/urine cell-free tumor DNA isolation for next generation sequencing (NGS) using the Ion S5 system to detect mutations among 50 oncogenes on the Ion AmpliSeq Cancer Hotspot Panel. Results: The Ion Torrent platform detected a higher number of CTCs than those in previous studies using the CellSearchTM system. Overall, mutations were detected in 13/16 (81.3%) patients with a median number of 18 (range 12-25). NGS isolated 17 hotspot mutations from 11 genes and 41 novel genomic alterations from 24 genes, some of which are supposed to be clinically actionable. Conclusions: The Ion Torrent platform efficiently detected CTCs compared with previous reports. NGS with the present system also allowed for detection of gene alterations which are likely to be therapeutic targets and provided an attractive tool to guide personalized therapy for patients with advanced UC.

Structural and functional characteristics of the tripartite ABC transporter.

ATP-binding cassette (ABC) transporters are one of the largest protein superfamilies and are found in all living organisms. These transporters use the energy from ATP binding and hydrolysis to transport various substrates. In this review, we focus on the structural and functional aspects of ABC transporters, with special emphasis on type VII ABC transporters, a newly defined class possessing characteristic structures. A notable feature of type VII ABC transporters is that they assemble into tripartite complexes that span both the inner and outer membranes of Gram-negative bacteria. One of the original type VII ABC transporters, which possesses all characteristic features of this class, is the macrolide efflux transporter MacB. Recent structural analyses of MacB and homologue proteins revealed the unique mechanisms of substrate translocation by type VII ABC transporters.

Clarification of relationship between single-nucleotide polymorphism panels of Shiga toxin-producing Escherichia coli O157:H7/H- strains.

Eighty strains of enterohemorrhagic Escherichia coli O157:H7/H- were analyzed by three single-nucleotide polymorphism (SNP) panels using whole-genome sequencing data. The partial concordance of SNP types among the different SNP panels was observed on minimum spanning trees reconstructed with SNP data. As for lineage I/II strains, some of the clade 7 strains belonged to one unique SNP type as determined by three panels, suggesting that clade 7 should be divided into at least two genotypes, namely, the unique type and the rest. In addition, clade 8 contained two unique genotypes, which was consistent with the previous prediction. Similarly, for lineage II, clade 12 should be divided into three genotype strains. In contrast, many strains of several clades belonging to lineage I were clustered into the same node on each minimum spanning tree upon testing with the three SNP panels. Previous studies reported that lineage I diverged more recently than lineages I/II and II. Such low diversity in lineage I in this study may have arisen because this lineage has not accumulated SNPs because of its relatively recent divergence. Based on the concordance observed in this study, some of the previously published O157 genotype distribution data were successfully interpreted to clarify the clade distribution, which was well supported by previous literature.

Association of Nrf2 expression and mutation with Weiss and Helsinki scores in adrenocortical carcinoma.

Adrenocortical carcinoma (ACC) is a rare malignant tumor. Genetic abnormalities that may represent therapeutic targets and prognostic factors in ACC remain unclear. Besides being one of the main cellular defense mechanisms that regulates antioxidant pathways for detoxifying reactive oxygen species (ROS), the transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) promotes tumor proliferation by increasing metabolic activity. In surgical specimens from 12 cases of nonmetastatic ACCs and nine cases of benign adrenocortical adenoma (ACA), we investigated gene mutation and protein expressions for Nrf2 and the preoperative maximum standard glucose uptake (SUVmax) on [18 F]fluorodeoxy-glucose positron emission tomography. Three of five ACCs with a Weiss score of 7 to 9 were Nrf2 mutants; these ACCs had higher expression of Nrf2 and higher preoperative SUVmax. The other seven ACCs had a Weiss score of 3 to 6; these seven ACCs and all the ACAs were non-Nrf2 gene mutants. Patients with a Weiss score of 7 to 9 and Nrf2 mutant ACC had shorter overall survival. Based on Helsinki scoring, three ACCs with a Helsinki score greater than 17 had Nrf2 mutants, higher expression of Nrf2, higher preoperative SUVmax, and shorter overall survival. Our findings indicate that Nrf2 activation and the associated increase in metabolism play roles in ACC, in particular in ACC with a Weiss score of 7 to 9 and a Helsinki score of greater than 17.

Increased expression of Nrf2 and elevated glucose uptake in pheochromocytoma and paraganglioma with SDHB gene mutation.

BACKGROUND: Pheochromocytomas (PCC) and paragangliomas (PGL) are catecholamine-producing neuroendocrine tumors. According to the World Health Organization Classification 2017, all PCC/PGL are considered to have malignant potential. There is growing evidence that PCC/PGL represent a metabolic disease that leads to aerobic glycolysis. Cellular energy metabolism involves both transcription factor nuclear factor erythroid 2-related factor 2 (Nrf2) and succinate dehydrogenase (SDH) subtypes, but the association of these substances with PCC/PGL is largely unknown. METHODS: We investigated SDHB gene mutation and protein expressions for SDHB and Nrf2 in surgical specimens from 29 PCC/PGL. We also assessed preoperative maximum standard glucose uptake (SUVmax) on [18F]fluorodeoxy-glucose positron emission tomography and mRNA levels for Nrf2. RESULTS: Among 5 PCC/PGL with a PASS Score ≥ 4 or with a moderately to poorly differentiated type in the GAPP Score, 4 were metastatic and found to be SDHB mutants with homogeneous deletion of SDHB protein. SDHB mutants showed a higher expression of Nrf2 protein and a higher preoperative SUVmax than non-SDHB mutants with a PASS < 4 or a well-differentiated GAPP type. Furthermore, protein expression of Nrf2 was positively associated with preoperative SUVmax. The Nrf2 mRNA level positively correlated with malignant phenotype, higher expression for Nrf2 protein and SDHB gene mutant, but negatively correlated with expression for SDHB protein. There was also a positive correlation between Nrf2 mRNA level and SUVmax. CONCLUSION: These results suggest that activation of Nrf2 and elevated metabolism play roles in PCC/PGL with malignant potential that have SDHB gene mutation and SDHB deficiency.

Molecular analysis of bovine leukemia virus in early epidemic phase in Japan using archived formalin fixed paraffin embedded histopathological specimens.

Bovine leukemia virus (BLV) is an important pathogen associated with enzootic bovine leukosis. In this study, we performed PCR and sequencing analysis to characterize BLVgp51 sequences from formalin-fixed paraffin-embedded (FFPE) specimens made from 1974 to 2000 and successfully obtained BLV proviral genome sequences from 94% of the analyzed samples. Furthermore, from these samples, we reconstructed eight full-length and nearly full-length BLVgp51 sequences. These sequences were classified as BLV genotype 1, implying that genotype1 has already been circulating in Japan since the 1970s. In our results, the proviral DNA was detected in the 1970s, 1980s, and 1990s in the same manner, indicating that the detection of BLV proviral genome depends on storage conditions rather than storage period. The sequences obtained in this study provide direct insights into BLV sequences before 2000, which serves as a good calibrator for inferring ancient BLV diversity.

A Successful Case of Switching Treatment from Ketamine to Methadone for Complex Neuropathic Pain.

Background: Methadone is frequently used for the management of complex pain at the end of life by palliative care specialists. It is also used in low doses as an add-on therapy to chronic opioid treatment of cancer-related pain, usually with good effect, and without any reported severe adverse effects. However, there are few reports of switching from ketamine to methadone. Case: We report a case of a patient with rectal cancer and intractable pain. Switching from ketamine to methadone to maintain analgesia was successfully carried out without impacting activities of daily living. Established measurement tools, such as numerical rating scale, Douleur Neuropathique, Functional Independence Measure, and Barthel Index, were used. Conclusion: Switching from ketamine to methadone may be beneficial in relieving refractory cancer-related neuropathic pain without decreasing functioning.