Advances in experimental medicine and biology最新文献

Measuring oxygen (O₂) in tissues has been a central theme of the International Society on Oxygen Transport to Tissue (ISOTT) since its founding 50 years ago in 1973. The initial presentations by many distinguished members reflect this focus and demonstrate the importance of the contributions of the members of ISOTT. This paper considers their work and its legacy in the context of the continuing challenges of making meaningful measurements of O₂ in tissue. Because many technical, physiological, and pathophysiological factors are directly or implicitly involved in obtaining any measured value of O₂ in living tissues, interpretations of what the measured value represents and its biological implications need to take these factors into account. The challenges arise from two very simple but painfully true factors that make it challenging to obtain measurements of O₂ in tissues in vivo that are useful for the understanding of physiological and pathophysiological processes. First, throughout the volume of functioning tissue that is assessed by any technique, there is a complex spatial heterogeneity of O₂ levels. No technique can usually fully represent this complexity in a given measurement, because the heterogeneity extends from the environment in the tissue surrounding cells to variations within the cell. Therefore, the value of the output from a measurement inevitably consists of a complex, averaged summary of O₂ in the tissue. Second, the levels of O₂ are constantly changing in living tissues (variations occur in seconds, minutes, hours, and/or days and differ by location) at rates that are difficult to resolve for available techniques, because they occur faster than data acquisition time and/or cannot be used as frequently as needed to follow the longer-term changes. However, as demonstrated in research reported in the publications from ISOTT, studies of O₂ in tissue, in spite of the potential ambiguities in the measured values, can provide very valuable insights into physiology and pathophysiology. This is most likely to occur if researchers explicitly recognise why and how their measurement does not fully portray the complexity of O₂. When measurements can be repeated, the resulting change between measurements provides information about the dynamics of the physiology and pathophysiology. Assessing change in O₂ levels can also provide evidence about responses to treatments. Similarly, finding evidence of hypoxia, even though it does not capture the heterogeneity and dynamics actually happening in the tissue, can still inform clinical care if the measurement is well-understood.

Methods evaluating the status of the injured brain have evolved over the past 63 years since Lundberg first reported clinical measurement of intracranial pressure (ICP) to evaluate the status of the injured brain (Lundberg, Acta Psychiatr Scand Suppl. 36:1-193, 1960). Subsequent evaluation involved measurement of the autoregulatory capacity of the brain by measuring cerebral blood flow (CBF) with decreasing mean arterial pressure (MAP) to define the critical CPP where the vasodilatory capacity of the cerebral circulation is exceeded and CBF begins to fall (CPP of 50 mmHg). A seminal advance was made by Marmarou (Marmarou et al., J Neurosurg. 48:332-344, 1978) who measured brain compliance by injecting a bolus of saline into the intracranial catheter while measuring the rise in intracranial pressure (ICP) otherwise known as induced pressure reactivity (iPRx). Seeking to utilise continuous measurement of iPRx in traumatic brain injury (TBI) patients with continuous monitoring of ICP, the ICP response to arterial pulsations was developed to evaluate the optimal CPP patients with raised ICP by the arterial pulsations-based iPRx. A similar approach was made with Doppler measurement of CBF with arterial pulsations for iCVRx to guide optimal CPP (CPPopt). Both iPRx and iCVRx are associated with microvascular shunts (MVS) and can accurately measure the critical CPP, whereas the CBF autoregulation curve by decreasing MAP does not. Sophisticated continuous multimodal monitoring established with ICM+ algorithms successfully identifies CPPopt for ICP control and identifies CBF dysregulation as related to outcome, but does not provide insights into the mechanisms involved in the loss of CBF autoregulation as related to increased ICP and potentially effective treatments (Froese et al., Neurocrit Care. 34:325-335, 2021).

The function of immune cells is delicately regulated under a variety of molecular networks. Transcriptional intermediary factor 1 (TIF1) family proteins, consisting of TRIM24, TRIM28 and TRIM33, share a highly conserved RING domain that is essential for the regulation of protein ubiquitination functioning as E3 ubiquitin ligases. TIF1 family proteins are diversely expressed in different types of immune cells, and participate in the regulation of various of cellular functions including chromosome modification, DNA repair, tumor progression, and immunity. In this review, we summarized current studies on TIF1 family proteins' functions in the modulation of immune cell development, anti-infection immunity, cancer immunology, inflammation, and autoimmune diseases.

Radiomics, a quantitative approach to extracting features from medical images, represents a new frontier in skull base oncology. Novel image analysis approaches have enabled us to capture patterns from images imperceptible by the human eye. This rich source of data can be combined with a range of clinical features, holding the potential to be a noninvasive source of biomarkers. Applications of radiomics in skull base pathologies have centered around three common tumor classes: meningioma, sellar/parasellar tumors, and vestibular schwannomas. Radiomic investigations can be categorized into five domains: tumor detection/segmentation, classification between tumor types, tumor grading, detection of tumor features, and prognostication. Various computational architectures have been employed across these domains, with deep-learning methods becoming more common versus machine learning. Across radiomic applications, contrast-enhanced T1-weighted MRI images remain the most utilized sequence for model development. Efforts to standardize and connect radiomic features to tumor biology have facilitated more clinically applicable radiomic models. Despite the advancement in model performance, several challenges continue to hinder translatability, including small sample sizes and model training on homogenous single institution data. To recognize the potential of radiomics for skull base oncology, prospective, multi-institutional collaboration will be the cornerstone for a validated radiomic technology.

"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically the combination of statistical techniques for clinical prediction models, including artificial neural networks, Bayesian regression, and Bayesian neural networks. This clinical prediction system incorporates both prior knowledge and one's own experiences (Bayesian analysis) as well as recognizes complex statistical associations between prognostic and outcome variables (artificial neural networks).

The immune system plays a dual role in human health, functioning both as a protector against pathogens and, at times, as a contributor to disease. This feature emphasizes the importance to uncover the underlying causes of its malfunctions, necessitating an in-depth analysis in both pathological and physiological conditions to better understand the immune system and immune disorders. Recent advances in scientific technology have enabled extensive investigations into gene regulation, a crucial mechanism governing cellular functionality. Studying gene regulatory mechanisms within the immune system is a promising avenue for enhancing our understanding of immune cells and the immune system as a whole. The gene regulatory mechanisms, revealed through various methodologies, and their implications in the field of immunology are discussed in this chapter.

Since its discovery, Aire has been the topic of numerous studies in its role as a transcriptional regulator in the thymus where it promotes the "promiscuous" expression of a large repertoire of tissue-restricted antigens (TRAs) that are normally expressed only in the immune periphery. This process occurs in specialized medullary thymic epithelial cells (mTECs) and mediates the elimination of self-reactive T cells or promotes their conversion to the Foxp3⁺ regulatory T cell lineage, both of which are required for the prevention of autoimmunity. In recent years, there has been increasing interest in the role of extrathymic Aire expression in peripheral organs. The focus has primarily been on the identification of the cellular source(s) and mechanism(s) by which extrathymic AIRE affects tolerance-related or other physiological processes. A cadre of OMICs tools including single cell RNA sequencing and novel transgenic models to trace Aire expression to perform lineage tracing experiments have shed light on a phenomenon that is more complex than previously thought. In this chapter, we provide a deeper analysis of how extrathymic Aire research has developed and progressed, how cellular sources were identified, and how the function of AIRE was determined. Current data suggests that extrathymic AIRE fulfills a function that differs from what has been observed in the thymus and strongly argues that its main purpose is to regulate transcriptional programs in a cell content-dependent manner. Surprisingly, there is data that also suggests a non-transcriptional role of extrathymic AIRE in the cytoplasm. We have arrived at a potential turning point that will take the field from the classical understanding of AIRE as a transcription factor in control of TRA expression to its role in immunological and non-immunological processes in the periphery.

One of the difficulties in studying the pathogenesis of autoimmune diseases is that the disease is multifactorial involving sex, age, MHC, environment, and some genetic factors. Because deficiency of Aire, a transcriptional regulator, is an autoimmune disease caused by a single gene abnormality, Aire is an ideal research target for approaching the enigma of autoimmunity, e.g., the mechanisms underlying Aire deficiency can be studied using genetically modified animals. Nevertheless, the exact mechanisms of the breakdown of self-tolerance due to Aire's dysfunction have not yet been fully clarified. This is due, at least in part, to the lack of information on the exact target genes controlled by Aire. State-of-the-art research infrastructures such as single-cell analysis are now in place to elucidate the essential function of Aire. The knowledge gained through the study of Aire-mediated tolerance should help our understanding of the pathogenesis of autoimmune disease in general.

Inflammation is a complex process that protects our body from various insults such as infection, injury, and stress. Proper inflammation is beneficial to eliminate the insults and maintain organ homeostasis, however, it can become detrimental if uncontrolled. To tightly regulate inflammation, post-transcriptional mechanisms governing RNA metabolism play a crucial role in monitoring the expression of immune-related genes, such as tumor necrosis factor (TNF) and interleukin-6 (IL-6). These mechanisms involve the coordinated action of various RNA-binding proteins (RBPs), including the Regnase family, Roquin, and RNA methyltransferases, which are responsible for mRNA decay and/or translation regulation. The collaborative efforts of these RBPs are essential in preventing aberrant immune response activation and consequently safeguarding against inflammatory and autoimmune diseases. This review provides an overview of recent advancements in our understanding of post-transcriptional regulation within the immune system and explores the specific roles of individual RBPs in RNA metabolism and regulation.

T cells play a crucial role in adaptive immunity by recognizing and eliminating foreign pathogens and abnormal cells such as cancer cells. T cell receptor (TCR), which is expressed on the surface of T cells, recognizes and binds to specific antigens presented by major histocompatibility complex (MHC) molecules on antigen-presenting cells (APCs). This activation process leads to the proliferation and differentiation of T cells, allowing them to carry out their specific immune response functions. This chapter outlines the TCR signaling pathways that are common to different T cell subsets, as well as the recently elucidated TCR signaling pathway specific to CD8⁺ T cells and its role in controlling anti-Toxoplasma and anti-tumor immunity.