Measuring the subgingival microbiota in periodontitis patients: Comparison of the surface layer and the underlying layers

Periodontitis is a major cause of tooth loss in adults that initially results from dental plaque. Subgingival plaque pathogenesis is affected by both community composition and plaque structures, although limited data are available concerning the latter. To bridge this knowledge gap, subgingival plaques were obtained using filter paper (the fourth layer) and curette (the first-third layers) sequentially and the phylogenetic differences between the first–third layers and the fourth layer were characterized by sequencing the V3–V4 regions of 16S rRNA. A total of 11 phyla, 148 genera, and 308 species were obtained by bioinformatic analysis, and no significant differences between the operational taxonomic unit numbers were observed for these groups. In both groups, the most abundant species were Porphyromonas gingivalis and Fusobacterium nucleatum. Actinomyces naeslundii, Streptococcus intermedius, and Prevotella intermedia possessed relatively high proportions in the first–third layers; while in the fourth layer, both traditional pathogens (Treponema denticola and Campylobacter rectus) and novel pathobionts (Eubacterium saphenum, Filifactor alocis, Treponema sp. HOT238) were prominent. Network analysis showed that either of them exhibited a scale-free property and was constructed by two negatively correlated components (the pathogen component and the nonpathogen component), while the synergy in the nonpathogen component was lower in the first–third layers than that in the fourth layer. After merging these two parts into a whole plaque group, the negative/positive correlation ratio increased. With potential connections, the first–third layers and the fourth layer showed characteristic key nodes in bacterial networks.     

miR-194 relieve neuropathic pain and prevent neuroinflammation via targeting FOXA1

The emerging role of microRNAs (miRNAs) have been deeply explored in multiple diseases including neuropathic pain. miR-194 was widely reported to be a tumor suppressor and was related to the inflammatory response. The critical role of neuroinflammation on neuropathic pain leads to a thinking about the relationship between miR-194 and neuropathic pain. However, the function of miR-194 in neuropathic pain remains unknown. This study was aimed to explore the relationship between miR-194 and neuropathic pain progression by chronic sciatic nerve injury (CCI). miR-194 abnormally downregulated in the CCI model rat and its overexpression significantly alleviates neuroinflammation in vivo. We predict Forkhead box protein A1 (FOXA1) as a direct target of miR-194, whose restoration can markedly reverse the effects of miR-194 on neuropathic pain. Overall, our study demonstrated a novel mechanism of neuropathic pain progression that miR-194 alleviates neuropathic pain via targeting FOXA1 and preventing neuroinflammation by downregulating inflammatory cytokines containing cyclooxygenase 2, interleukin 6 (IL-6), and IL-10 in vivo, which can be reversed by the overexpression of FOXA1.     

One-step targeted maximum likelihood estimation for time-to-event outcomes

Researchers in observational survival analysis are interested in not only estimating survival curve nonparametrically but also having statistical inference for the parameter. We consider right-censored failure time data where we observe n independent and identically distributed observations of a vector random variable consisting of baseline covariates, a binary treatment at baseline, a survival time subject to right censoring, and the censoring indicator. We assume the baseline covariates are allowed to affect the treatment and censoring so that an estimator that ignores covariate information would be inconsistent. The goal is to use these data to estimate the counterfactual average survival curve of the population if all subjects are assigned the same treatment at baseline. Existing observational survival analysis methods do not result in monotone survival curve estimators, which is undesirable and may lose efficiency by not constraining the shape of the estimator using the prior knowledge of the estimand. In this paper, we present a one-step Targeted Maximum Likelihood Estimator (TMLE) for estimating the counterfactual average survival curve. We show that this new TMLE can be executed via recursion in small local updates. We demonstrate the finite sample performance of this one-step TMLE in simulations and an application to a monoclonal gammopathy data.     

High-efficiency protein delivery into transfection-recalcitrant cell types

Intracellular delivery of functional proteins is of great interest for basic biological research as well as for clinical applications. Transfection is the most commonly used method, however, it is not applicable to large-scale manipulation and inefficient in important cell types implicated in biomedical applications, such as epithelial, immune and pluripotent stem cells. In this study, we explored a bacterial type III secretion system (Bac-T3SS)-mediated proteofection method to overcome these limitations. An attenuated Pseudomonas aeruginosa vector was constructed, which has features of low toxicity, high T3SS activity, and self-limiting growth. Compared to the method of transfection, the Bac-T3SS showed significantly higher efficiencies of Cre recombinase translocation and target site recombination for hard-to-transfect human cell lines. Furthermore, through the delivery of β-lactamase in live animals, we demonstrated the feasibility and biosafety of in vivo application of the Bac-T3SS. This study provided an efficient and low-cost proteofection strategy for laboratory use as well as for application in large-scale cell manipulations.     

Dielectric Properties of Normal and Metastatic Lymph Nodes Ex Vivo From Lung Cancer Surgeries

The dielectric properties of normal and tumor human tissues have been widely reported in recent years. However, the dielectric properties of intrathoracic lymph nodes (LNs) have not been reported. In this communication, we measured the dielectric properties (i.e., permittivity and conductivity) of ex vivo intrathoracic LNs obtained from lung cancer surgeries. Results show that the permittivity and conductivity of metastatic LNs are higher than those of normal LNs over the frequency range of 1 MHz–4 GHz. Statistically significant differences are observed at single specific frequencies (64, 128, 298, 433, and 915 MHz and 2.45 GHz). Our study provides the basic data to support future-related research and fills the research gap on the dielectric properties of LNs in the lungs. Bioelectromagnetics. 2020;41:148–155. © 2020 Bioelectromagnetics Society.     

A novel immunoproteomics method for identifying in vivo-induced Campylobacter jejuni antigens using pre-adsorbed sera from infected patients

Background

Campylobacter jejuni is an important food-borne and zoonotic pathogen with a worldwide distribution. Humans and chickens are hosts of this pathogen. At present, there is no ideal vaccine for controlling human campylobacteriosis or the carriage of C. jejuni by chickens. Bacterial in vivo-induced antigens are useful as potential vaccine candidates and biomarkers of virulence.

Methods

In this study, we developed a novel systematic immunoproteomics approach to identify in vivo-induced antigens among the total cell proteins of C. jejuni using pre-adsorbed sera from patients infected with C. jejuni.

Results

Overall, 14 immunoreactive spots were probed on a PVDF membrane using pre-adsorbed human sera against C. jejuni. Then, we excised these protein spots from a duplicate gel and identified using MALDI–TOF MS. In total, 14 in vivo-induced antigens were identified using PMF and BLAST analysis. The identified proteins include CadF (CadF-1 and CadF-2), CheW, TufB, DnaK, MetK, LpxB, HslU, DmsA, PorA, ProS, CJBH_0976, CSU_0396 and hypothetical protein cje135_05017. Real-time RT-PCR was performed on 9 genes to compare their expression levels in vivo and in vitro. The data showed that 8 of the 9 analyzed genes were significantly upregulated in vivo relative to in vitro.

Conclusion

We successfully developed a novel immunoproteomics method for identifying in vivo-induced Campylobacter jejuni antigens by using pre-adsorbed sera from infected patients.

General significance

This new analysis method may prove to be useful for identifying in vivo-induced antigens within any host infected by bacteria and will contribute to the development of new subunit vaccines.     

Sequence verification of synthetic DNA by assembly of sequencing reads

Gene synthesis attempts to assemble user-defined DNA sequences with base-level precision. Verifying the sequences of construction intermediates and the final product of a gene synthesis project is a critical part of the workflow, yet one that has received the least attention. Sequence validation is equally important for other kinds of curated clone collections. Ensuring that the physical sequence of a clone matches its published sequence is a common quality control step performed at least once over the course of a research project. GenoREAD is a web-based application that breaks the sequence verification process into two steps: the assembly of sequencing reads and the alignment of the resulting contig with a reference sequence. GenoREAD can determine if a clone matches its reference sequence. Its sophisticated reporting features help identify and troubleshoot problems that arise during the sequence verification process. GenoREAD has been experimentally validated on thousands of gene-sized constructs from an ORFeome project, and on longer sequences including whole plasmids and synthetic chromosomes. Comparing GenoREAD results with those from manual analysis of the sequencing data demonstrates that GenoREAD tends to be conservative in its diagnostic. GenoREAD is available at www.genoread.org.     

Identification of genetic associations of SP110/MYBBP1A/RELA with pulmonary tuberculosis in the Chinese Han population

Genetic factors play important roles in the development of tuberculosis (TB). SP110 is a promising candidate target for controlling TB infections. However, several studies associating SP110 single nucleotide polymorphisms (SNPs) with TB have yielded conflicting results. This may be partly resolved by studying other genes associated with SP110, such as MYBBP1A and RELA. Here, we genotyped 6 SP110 SNPs, 8 MYBBP1A SNPs and 5 RELA SNPs in 702 Chinese pulmonary TB patients and 425 healthy subjects using MassARRAY and SNaPshot methods. Using SNP-based analysis with Bonferroni correction, rs3809849 in MYBBP1A [Pcorrected (cor) = 0.0038] and rs9061 in SP110 (Pcor = 0.019) were found to be significantly associated with TB. Furthermore, meta-analysis of rs9061 in East Asian populations showed that the rs9061 T allele conferred significant risk for TB [P = 0.002, pooled odds ratio (OR), 1.24, 95 % confidence interval (CI) = 1.08–1.43]. The MYBBP1A GTCTTGGG haplotype and haplotypes CGACCG/TGATTG within SP110 were found to be markedly and significantly associated with TB (P = 2.00E?06, 5.00E?6 and 2.59E?4, respectively). Gene-based analysis also demonstrated that SP110 and MYBBP1A were each associated with TB (Pcor = 0.011 and 0.035, respectively). The logistic regression analysis results supported interactions between SP110 and MYBBP1A, indicating that subjects carrying a GC/CC genotype in MYBBP1A and CC genotype in SP110 possessed the high risk of developing TB (P = 1.74E?12). Our study suggests that a combination of SP110 and MYBBP1A gene polymorphisms may serve as a novel marker for identifying the risk of developing TB in the Chinese Han population.     

适当浓度的过氧化氢诱导人支气管上皮细胞发生钙振荡

包括过氧化氢（Hzoz）在内的活性氧通过引起细胞内钙的变化而造成细胞损伤。然而,不同浓度的H202可以导致细胞内不同的钙变化,并激活不同的信号通路。细胞内钙振荡是其中的一种钙信号变化形式,钙振荡可以调控转录因子NF—KB的活性。该研究探讨可以诱导支气管上皮细胞内钙振苏发生的H2o2浓度。体外培养人支气管上皮细胞,采取钙离子荧光探针Fura_2标记细胞。并使用离子成像系统,观测不同浓度的H：0：（0～1000μmol／L）作用下细胞内钙浓度的变化。结果发现,低于50μmol／L的H202仅仅引起“钙火花”;50～500μmol／L的H202导致细胞内钙振荡的发生;而1000μmol／L的H202引起细胞内持续的高钙;同时也证实150μmol／L的H202诱发明显的钙振荡,而钙振荡随后引起了NF—KB活性的升高。该研究提示,适当浓度的H：0：可以诱发支气管上皮细胞内钙振荡的发生,推测可能是活性氧导致慢性气道炎症损伤的一个机制。     

ER stress and ASK1-JNK activation contribute to oridonin-induced apoptosis and growth inhibition in cultured human hepatoblastoma HuH-6 cells

Workers who are exposed to extreme heat or work in hot environments may be at risk of heat stress. Exposure to extreme heat can result in occupational illnesses and injuries. On the other hand, local and regional heat therapy has been used for the treatment of some cancers, such as liver cancer, lung cancer, and kidney cancer. Although heat stress has been shown to induce the accumulation of p53 protein, a key regulator of cell cycle, apoptosis, DNA repair, and autophagy, how it regulates p53 protein accumulation and what the p53 targets are remain unclear. Here, we show that, among various genotoxic stresses, including ionizing radiation (IR) and ultraviolet (UV) radiation, heat stress contributes significantly to increase p53 protein levels in normal liver cells and liver cancer cells. Heat stress did not increase p53 mRNA expression as well as p53 promoter activity. However, heat stress enhanced the half-life of p53 protein. Moreover, heat stress increased the expression of puma and light chain 3 (LC-3), which are associated with the apoptotic and autophagic function of p53, respectively, whereas it did not change the expression of the cell cycle regulators p21, 14-3-3δ, and GADD45α, suggesting that heat-triggered alteration of p53 selectively modulates the downstream targets of p53. Our study provides a novel mechanism by which heat shock stimulates p53 protein accumulation, which is different from common DNA damages, such as IR and UV, and also provides new molecular basis for heat injuries or heat therapy.