Cold Spring Harbor perspectives in medicine最新文献

It is increasingly appreciated that cancer cells adapt their metabolic pathways to support rapid growth and proliferation as well as survival, often even under the poor nutrient conditions that characterize some tumors. Cancer cells can also rewire their metabolism to circumvent chemotherapeutics that inhibit core metabolic pathways, such as nucleotide synthesis. A critical approach to the study of cancer metabolism is metabolite profiling (metabolomics), the set of technologies, usually based on mass spectrometry, that allow for the detection and quantification of metabolites in cancer cells and their environments. Metabolomics is a burgeoning field, driven by technological innovations in mass spectrometers, as well as novel approaches to isolate cells, subcellular compartments, and rare fluids, such as the interstitial fluid of tumors. Here, we discuss three emerging metabolomic technologies: spatial metabolomics, single-cell metabolomics, and organellar metabolomics. The use of these technologies along with more established profiling methods, like single-cell transcriptomics and proteomics, is likely to underlie new discoveries and questions in cancer research.

In November 2022, teplizumab became the first drug approved to delay the course of any autoimmune disease and to change the course of type 1 diabetes (T1D) since the discovery of insulin. The path to its approval took more than 30 years with both successes and failures along the way that would have normally led to its abandonment in other circumstances. Development of the drug was based on studies in preclinical models and parallels efforts in transplantation. From a series of innovative adaptations in response to issues related to adverse events and immunogenicity, humanized Fc receptors (FcR) nonbinding antibodies were developed with improved clinical outcomes and safety as well as new mechanisms. Importantly, as a result of these developments, teplizumab has been able to achieve efficacy over extended periods of time without global immune suppression. The approval of teplizumab represents a significant first step toward achieving escape from T1D and, in the future, reversal of the disease.

Type 1 diabetes (T1D) is driven by an immunologically complex, diverse, and self-sustaining immune response directed against tissue autoantigens, leading to loss or dysfunction of β cells. To date, the single approved immune intervention in T1D is based on a strategy that is similar to that used in other related autoimmune diseases, namely, the attenuation of immune cell activation. As a next-generation approach that is more focused on underlying mechanisms of loss of tolerance, antigen-specific immunotherapy is designed to establish or restore bystander immunoregulation in a highly tissue- and target-specific fashion. Here, we describe the basis for this alternative approach, which could also have potential for complementarity if used in combination with more conventional immune modulators, and highlight recent advances, knowledge gaps, and next steps in clinical development.

A majority of cancer research is focused on defining the cellular and molecular basis of cancer cells and the signals that control oncogenic transformation; as a consequence, we know very little about the dynamic behavior of cancer cells in vivo. To begin to view and understand the mechanisms and interactions that control cancer initiation, growth, and metastatic progression and how these processes are influenced by the microenvironment and the signals derived from it, it is essential to develop strategies that allow imaging of the cancer cells in the context of the living microenvironment. Here, we discuss emerging work designed to visualize how cancer cells function within the microenvironment to discover how these interactions act coordinately to enable aberrant growth and to understand how they could be targeted to design new approaches to intercept the disease.

This is a brief history of the work by many investigators throughout the world to find genes and mutations causing inherited retinal diseases (IRDs). It largely covers 40 years, from the late-1980s through today. Perhaps the best reason to study history is to better understand the present. The "present" for IRDs is exceptionally complex. Mutations in hundreds of genes are known to cause IRDs; tens of thousands of disease-causing mutations have been reported; clinical consequences are highly variable, even within the same family; and genetic testing, counseling, and clinical care are highly advanced but technically challenging. The aim of this review is to account for how we have come to know and understand, at least partly, this complexity.