Novel technologies in detection, treatment and prevention of substance use disorders.

Substance use disorders are a widely recognized problem, which affects various levels of communities and influenced the world socioeconomically. Its source is deeply embedded in the global population. In order to fight against such an adversary, governments have spared no efforts in implementing substance abuse treatment centers and funding research to develop treatments and prevention procedures. In this review, we will discuss the use of immunological-based treatments and detection kit technologies. We will be detailing the steps followed to produce performant antibodies (antigens, carriers, and adjuvants) focusing on cocaine and methamphetamine as examples. Furthermore, part of this review is dedicated to substance use detection. Owing to novel technologies such as bio-functional polymeric surfaces and biosensors manufacturing, detection has become a more convenient method with the fast and on-site developed devices. Commercially available devices are able to test substance use disorders in urine, saliva, hair, and sweat. This improvement has had a tremendous impact on the prevention of driving under influence and other illicit behaviors. Lastly, substance abuse became a major issue involving the cooperation of experts on all levels to devise better treatment programs and prevent abuse-based accidents, injury and death.

Overview of Flow Cytometry and Microbiology.

Although in recent years flow cytometry has become commonplace in hematology and immunology laboratories, application of the technology to microbiology remains largely unrealized. This overview presents the historical background, discusses applications in various areas of the field, and speculates on the directions of future developments. The availability of high-quality methods should be a prime factor in convincing microbiologists that flow cytometry may have certain advantages over traditional methods and that it does indeed have much to contribute to microbiology. © 2018 by John Wiley & Sons, Inc.

Single-Cell Genomics: A Stepping Stone for Future Immunology Discoveries.

The immunology field has invested great efforts and ingenuity to characterize the various immune cell types and elucidate their functions. However, accumulating evidence indicates that current technologies and classification schemes are limited in their ability to account for the functional heterogeneity of immune processes. Single-cell genomics hold the potential to revolutionize the way we characterize complex immune cell assemblies and study their spatial organization, dynamics, clonal distribution, pathways, function, and crosstalks. In this Perspective, we consider recent and forthcoming technological and analytical advances in single-cell genomics and the potential impact of those advances on the future of immunology research and immunotherapy.

Brief introduction of current technologies in isolation of broadly neutralizing HIV-1 antibodies.

HIV/AIDS has become a worldwide pandemic. Before an effective HIV-1 vaccine eliciting broadly neutralizing monoclonal antibodies (bnmAbs) is fully developed, passive immunization for prevention and treatment of HIV-1 infection may alleviate the burden caused by the pandemic. Among HIV-1 infected individuals, about 20% of them generated cross-reactive neutralizing antibodies two to four years after infection, the details of which could provide knowledge for effective vaccine design. Recent progress in techniques for isolation of human broadly neutralizing antibodies has facilitated the study of passive immunization. The isolation and characterization of large panels of potent human broadly neutralizing antibodies has revealed new insights into the principles of antibody-mediated neutralization of HIV. In this paper, we review the current effective techniques in broadly neutralizing antibody isolation.

Single-cell technologies to study the immune system.

The immune system is composed of a variety of cells that act in a coordinated fashion to protect the organism against a multitude of different pathogens. The great variability of existing pathogens corresponds to a similar high heterogeneity of the immune cells. The study of individual immune cells, the fundamental unit of immunity, has recently transformed from a qualitative microscopic imaging to a nearly complete quantitative transcriptomic analysis. This shift has been driven by the rapid development of multiple single-cell technologies. These new advances are expected to boost the detection of less frequent cell types and transient or intermediate cell states. They will highlight the individuality of each single cell and greatly expand the resolution of current available classifications and differentiation trajectories. In this review we discuss the recent advancement and application of single-cell technologies, their limitations and future applications to study the immune system.

[Progress in preparation of small monoclonal antibodies of knock out technique].

With the application of monoclonal antibody technology more and more widely, its production technology is becoming more and more perfect. Small molecule monoclonal antibody technology is becoming a hot research topic for people. The application of traditional Chinese medicine small molecule monoclonal antibody technology has been more and more widely, the technology for effective Chinese medicine component knockout provide strong technical support. The preparation of monoclonal antibodies and small molecule knockout technology are reviewed in this paper. The preparation of several steps, such as: in the process of preparation of antigen, hapten carrier coupling, coupling ratio determination and identification of artificial antigen and establishment of animal immunization and hybridoma cell lines of monoclonal antibody, the large-scale preparation; small molecule monoclonal antibody on Immune in affinity chromatography column method is discussed in detail. The author believes that this technology will make the traditional Chinese medicine research on a higher level, and improve the level of internationalization of Chinese medicine research.

How the immune system talks to itself: the varied role of synapses.

Using an elaborately evolved language of cytokines and chemokines as well as cell-cell interactions, the different components of the immune system communicate with each other and orchestrate a response (or wind one down). Immunological synapses are a key feature of the system in the ways in which they can facilitate and direct these responses. Studies analyzing the structure of an immune synapse as it forms between two cells have provided insight into how the stability and kinetics of this interaction ultimately affect the sensitivity, potency, and magnitude of a given response. Furthermore, we have gained an appreciation of how the immunological synapse provides directionality and contextual cues for downstream signaling and cellular decision-making. In this review, we discuss how using a variety of techniques, developed over the last decade, have allowed us to visualize and quantify key aspects of the dynamic synaptic interface and have furthered our understanding of their function. We describe some of the many characteristics of the immunological synapse that make it a vital part of intercellular communication and some of the questions that remain to be answered.

Overcoming limitations in the systems vaccinology approach: a pathway for accelerated HIV vaccine development.

PURPOSE OF REVIEW: There remains a pressing need for an efficacious vaccine to combat HIV. The burgeoning fields of systems biology and innate immunity, as harnessed in systems vaccinology, promise to accelerate the discovery process and meet this need. RECENT FINDINGS: The tools of systems biology are increasingly employed to define innate immune responses to vaccination and thereby unmask early signaling events that control induced adaptive immunity. These studies involve a wide array of measurements, including transcriptomics and proteomics, and a wide array of biological systems, from in-vitro stimulated murine innate immune cells to whole blood collected from vaccinated human donors. Each measurement and each system offers unique insights as well as special limitations and challenges. SUMMARY: A holistic consideration of the models available for intensive HIV systems vaccinology analysis identifies a suite of interlocking opportunities and constraints. Although the murine system enables detailed mechanistic analysis, vaccine efficacy cannot be assessed in this model. Systems analysis of blood donated by vaccinated humans permits identification of immunogenicity signatures and biomarkers, but deriving direct mechanisms from these indirect measurements is precarious. The goals of HIV systems vaccinology may be best met by judicious integration of in vitro, in vivo (murine and nonhuman primate), and human clinical analyses.

[Bacteriological tests for tuberculosis]. / Les tests bactériologiques de la tuberculose maladie : standards et perspectives.

This review describes current developments for the bacteriological diagnosis of active tuberculosis. It deals mainly with molecular methods, describing their performance and how they can be integrated into more traditional diagnostic approaches. At present, microscopic examination and culture are still essential for the diagnosis of TB and to guide therapeutic decisions. Nucleic acid amplification and line probe assays speed up the identification and susceptibility testing of mycobacteria in AFB smear positive specimens or in culture. They are also efficient for comparison of M. tuberculosis strains with each other (genotyping). On the other hand, at present, molecular tests are not applicable for diagnosis in smear negative specimens and even less so for diagnosis of culture-negative tuberculosis. The use of serology for antibody/antigen detection is not useful and it is not appropriate to assays based on the release of interferon-γ release as they are currently available. Notable progress has been made but more sensitive diagnostic tests for TB are still urgently needed.

Interrogating the repertoire: broadening the scope of peptide-MHC multimer analysis.

Labelling antigen-specific T cells with peptide-MHC multimers has provided an invaluable way to monitor T cell-mediated immune responses. A number of recent developments in this technology have made these multimers much easier to make and use in large numbers. Furthermore, enrichment techniques have provided a greatly increased sensitivity that allows the analysis of the naive T cell repertoire directly. Thus, we can expect a flood of new information to emerge in the coming years.

Regulatory T-Cell (Treg) hybridoma as a novel tool to study Foxp3 regulation and Treg fate.

The CD25(+)Foxp3(+) regulatory T-cells (Treg) that had lost CD25 and Foxp3 in vivo (ex-Treg) exist but are difficult to study. We generated antigen (Ag)-specific Treg hybridomas from iTreg clones (iTreg-hyb) using iTreg of DO11.10.Foxp3-GFP mice and presented evidence that they behave like ex-Treg. The iTreg-hyb displayed little CD25 and Foxp3-GFP but strong expression could be induced with OVA(323-339) in the presence of Ag-presenting cells, rIL-2 and rTGF-ß1. They displayed all of the iTreg-associated markers examined except CTLA-4, the latter was also absent in the ex-Treg. They lacked the Helios transcription factor, suggesting they were derived from iTreg. Similar to ex-Treg, the iTreg-hyb produced high level of IL-2 and Foxp3 under specific activation conditions. Two unusual properties were observed. First, the ability to induce Foxp3-GFP upon activation is progressively lost in culture over a period of 2-4 weeks. Second, Rag2(-/-) spleen cells alone selectively induced Foxp3-GFP expression albeit 30 times less efficient than Ag-specific activation. We identified cell-free supernatant, IL-6, IL-9, and IL-27 as Foxp3-inducing factors. Our study has significant implications to the stability, plasticity and fate of Treg. The usefulness and limitation of iTreg-hyb as a novel tool to study Foxp3 regulation and the fate of specific Treg subsets are discussed.

An update on the use of NOD mice to study autoimmune (Type 1) diabetes.

The widely used nonobese diabetic (NOD) mouse model of autoimmune (Type 1) diabetes mellitus shares multiple characteristics with the human disease, and studies employing this model continue to yield clinically relevant and important information. Here, we review some of the recent key findings obtained from NOD mouse investigations that have both advanced our understanding of disease pathogenesis and suggested new therapeutic targets and approaches. Areas discussed include antigen discovery, identification of genes and pathways contributing to disease susceptibility, development of strategies to image islet inflammation and the testing of therapeutics. We also review recent technical advances that, combined with an improved understanding of the NOD mouse model's limitations, should work to ensure its popularity, utility and relevance in the years ahead.

Three decades of human monoclonal antibodies: past, present and future developments.

The hybridoma technique has been shown to be a most reproducible method for producing rodent monoclonal antibodies but poor results were obtained when it was used for generating human monoclonal antibodies. For immunotherapy, murine monoclonal antibodies are inadequate, whereas human monoclonal antibodies are virtually indispensable. Cellular, chemical, genetic and molecular methods to generate human monoclonal antibodies have been developed. Most often, the monoclonal antibodies for therapy are selected after deliberate vaccination, according to their high affinity towards an arbitrarily-chosen epitope of a pathogen or cellular antigen and therefore the selection is obviously skewed. A major hindrance of the production of therapeutic human monoclonal antibodies is the lack of an appropriate strategy to define and select the antibodies that would be effective in vivo. In contrast to antibodies induced by vaccination, there has been only a marginal interest in monoclonal antibodies which reflect antibodies of the innate immunity. In the future, human monoclonal antibodies that resemble antibodies that are ubiquitously present in sera of healthy individuals might serve as novel therapies in diseases such as Alzheimer's disease, where no other therapy exists.

Recent advances in diagnostic technology: applications in autoimmune and infectious diseases.

Biomarkers are used ubiquitously as indicators of biological health. The development of genomic and proteomic multiplex technologies have enormously amplified biomarker discovery and application to diagnostic and therapeutic decisions in clinical practice. New technologies are now available that simultaneously identify a wide spectrum of biomarkers and save time and costs. Multiplexed assays can be coupled to other disease specific indicators (i.e., cytokines, single nucleotide polymorphisms) in order to get more powerful information. However, there is an urgent need for validation/standardization of the new assays before they are adopted into clinical diagnostics. It is worthy to note a new assay, T cell interferon gamma release (TIGRAs), which has recently been introduced in the diagnosis of latent tuberculosis infection. It seems to perform better than tuberculin skin test in patients with inflammatory rheumatic diseases. In this review, we focus on advantages and limits of novel approaches to the detection of autoantibody profiles in autoimmune diseases or pathogen signatures in microbiology.

A guide to modern statistical analysis of immunological data.

BACKGROUND: The number of subjects that can be recruited in immunological studies and the number of immunological parameters that can be measured has increased rapidly over the past decade and is likely to continue to expand. Large and complex immunological datasets can now be used to investigate complex scientific questions, but to make the most of the potential in such data and to get the right answers sophisticated statistical approaches are necessary. Such approaches are used in many other scientific disciplines, but immunological studies on the whole still use simple statistical techniques for data analysis. RESULTS: The paper provides an overview of the range of statistical methods that can be used to answer different immunological study questions. We discuss specific aspects of immunological studies and give examples of typical scientific questions related to immunological data. We review classical bivariate and multivariate statistical techniques (factor analysis, cluster analysis, discriminant analysis) and more advanced methods aimed to explore causal relationships (path analysis/structural equation modelling) and illustrate their application to immunological data. We show the main features of each method, the type of study question they can answer, the type of data they can be applied to, the assumptions required for each method and the software that can be used. CONCLUSION: This paper will help the immunologist to choose the correct statistical approach for a particular research question.