Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant. Supporting Information The supporting information is available online at 10.1007/s11427-023-2305-0. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
Aging is a natural process that is characterized by chronic, low-grade inflammation, which represents the primary risk factor in the pathogenesis of a variety of diseases, i.e., aging-related diseases. RIP kinases, in particular RIPK1 and RIPK3, have emerged as master regulators of proinflammatory responses that act either by causing apoptosis and necroptosis or by directly regulating intracellular inflammatory signaling. While RIPK1/3 and necroptosis are intimately linked to multiple human diseases, the relationship among RIPK1/3, necroptosis, and aging remains unclear. In this review, we discuss current evidence arguing for the involvement of RIPK1/3 and necroptosis in the progression of aging. In addition, we provide updated information and knowledge on the role of RIPK1/3 and necroptosis in aging-related diseases. Leveraging these new mechanistic insights in aging, we postulate how our improved understanding of RIPK1/3 and necroptosis in aging may support the development of therapeutics targeting RIPK1/3 and necroptosis for the modulation of aging and treatment of aging-related diseases.
Activation of RIPK1-driven cell death and inflammation play important roles in the progression of nonalcoholic steatohepatitis (NASH). However, the mechanism underlying RIPK1 activation in NASH remains unclear. Here we identified SENP1, a SUMO-specific protease, as a key endogenous inhibitor of RIPK1. SENP1 is progressively reduced in proportion to NASH severity in patients. Hepatocyte-specific SENP1-knockout mice develop spontaneous NASH-related phenotypes in a RIPK1 kinase-dependent manner. We demonstrate that SENP1 deficiency sensitizes cells to RIPK1 kinase-dependent apoptosis by promoting RIPK1 activation following TNFα stimulation. Mechanistically, SENP1 deSUMOylates RIPK1 in TNF-R1 signaling complex (TNF-RSC), keeping RIPK1 in check. Loss of SENP1 leads to SUMOylation of RIPK1, which re-orchestrates TNF-RSC and modulates the ubiquitination patterns and activity of RIPK1. Notably, genetic inhibition of RIPK1 effectively reverses disease progression in hepatocyte-specific SENP1-knockout male mice with high-fat-diet-induced nonalcoholic fatty liver. We propose that deSUMOylation of RIPK1 by SENP1 provides a pathophysiologically relevant cell death-restricting checkpoint that modulates RIPK1 activation in the pathogenesis of nonalcoholic steatohepatitis.
ABSTRACT At present, the production workshop generally has the following characteristics: not-standardized layout, Cramped space and more working environment changes, Automated Guided Vehicle (AGV), in logistic, has the limitation of movement flexibility and intelligence, and cannot meet the logistics requirements. In this paper, a circular omni-directional mobile logistics platform with zero turning radius is designed by the four mecanum wheels structure. First of all, we devise the Mobile structure. On the basis, using relevant mathematical knowledge, the kinematic model and dynamic model of the platform are designed. Then, define the trajectory tracking error equation, and choose backstepping method to realize the trajectory tracking control. Finally, we simulate the nonlinear system dynamics using simulink, the graphical matlab workpace. The omni-directional autonomous motion of the robot is realized. It is an effective attempt to improve the intelligent of the logistics system.
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