Nicotinamide mononucleotide ameliorates senescence in alveolar epithelial cells

Fang, Tingting; Yang, Jingyun; Liu, Li; Xiao, Hengyi; Wei, Xiawei

doi:10.1002/mco2.62

Cited by 12 publications

(7 citation statements)

References 44 publications

(78 reference statements)

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“…Interestingly, the metabolic objectives in the proliferative cells mostly consist of growth-boosting metabolites: glycine supports muscle cell proliferation (Jain et al 2012; C. Lin et al 2020), stem cell renewal (Shyh-Chang and Ng 2017), and cancer cell growth (Jain et al 2012), while leucine is associated with protein metabolism, proliferation, and inhibition of apoptosis (Gonçalves and Gomes-Marcondes 2010; Mao et al 2013; Coëffier et al 2011; Xiao et al 2016). Additionally, NMN is a well-known anti-aging metabolite (Mills et al 2016), and is reported to restore cells from senescence, promote proliferation, and increase cell viability (Yamaura et al 2022; Pu et al 2022; Fang et al 2021). These results suggest that our model can infer metabolic objectives and distinguish cells with different proliferation abilities.…”

Section: Resultsmentioning

confidence: 99%

Inferring Metabolic Objectives and Tradeoffs in Single Cells During Embryogenesis

Lin,

Zhang,

Zhang

et al. 2024

Preprint

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While proliferating cells optimize their metabolism to produce biomass, the metabolic objectives of cells that perform non-proliferative tasks are unclear. The opposing requirements for optimizing each objective results in a trade-off that forces single cells to prioritize their metabolic needs and optimally allocate limited resources. To define metabolic objectives and tradeoffs in biological systems mathematically, we integrated bulk and single-cell omics data with a novel framework to infer cell objectives using metabolic modeling and machine learning. We validated this framework by identifying essential genes from CRISPR-Cas9 screens in embryonic stem cells, and by inferring the metabolic objectives of quiescent cells and during different cell-cycle phases. Applying this to embryonic cell states, we observed a decrease in metabolic entropy upon development. We further uncovered a trade-off between glutathione and biosynthetic precursors in 1-cell zygote, 2-cell embryo, and blastocyst cells, potentially representing a trade-off between pluripotency and proliferation.

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Section: Resultsmentioning

confidence: 99%

Inferring Metabolic Objectives and Tradeoffs in Single Cells During Embryogenesis

Lin,

Zhang,

Zhang

et al. 2024

Preprint

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“…Overall, this study illustrates the difficulty in assessing the systemic efficacy of aging interventions with various regimens, ages, and tissue effects. However, considering the availability of NAD + precursors for the public, the inconsistency in risk and benefit across tissues continues to be concerning (50, 52, 62, 65, 67, 81). The limited regulations around consumption of supplements intended to boost NAD + levels underscore the urgent need for increased caution and further studies in the use of such supplements for public safety.…”

Section: Discussionmentioning

confidence: 99%

Metabolite accumulation from oral NMN supplementation drives aging-specific kidney inflammation

Saleh,

Whitson,

Keiser

et al. 2024

Preprint

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The mitochondrial-rich renal tubule cells are key regulators of blood homeostasis via excretion and reabsorption of metabolic waste. With age, tubules are subject to increasing mitochondrial dysfunction and declining nicotinamide adenine dinucleotide (NAD+) levels, both hampering ATP production efficiency. We tested two mitochondrial interventions in young (6-mo) and aged (26-mo) adult male mice: elamipretide (ELAM), a tetrapeptide in clinical trials that improves mitochondrial structure and function, and nicotinamide mononucleotide (NMN), an NAD+ intermediate and commercially available oral supplement. Kidneys were analyzed from young and aged mice after eight weeks of treatment with ELAM (3 mg/kg/day), NMN (300 mg/kg/day), or from aged mice treated with the two interventions combined (ELAM+NMN). We hypothesized that combining pharmacologic treatments to ameliorate mitochondrial dysfunction and boost NAD+ levels, would more effectively reduce kidney aging than either intervention alone. Unexpectedly, in aged kidneys, NMN increased expression of genetic markers of inflammation (IL-1-beta; and Ccl2) and tubule injury (Kim-1). Metabolomics of endpoint sera showed that NMN-treated aged mice had higher circulating levels of uremic toxins than either aged controls or young NMN-treated mice. ELAM+NMN-treated aged mice accumulated uremic toxins like NMN-only aged mice, but reduced IL-1-beta; and Ccl2 kidney mRNA. This suggests that pre-existing mitochondrial dysfunction in aged kidney underlies susceptibility to inflammatory signaling with NMN supplementation in aged, but not young, mice. These findings demonstrate age and tissue dependent effects on downstream metabolic accumulation from NMN and highlight the need for targeted analysis of aged kidneys to assess the safety of anti-aging supplements in older populations.

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“…Some students find out about the grasp of face from the standpoint of psychology, learn about the function of intelligence on face recognition, and assemble two useful fashions of face recognition [8,9]. Others learn about the grasp and cognizance of face from the point of view of physiology or vision.…”

Section: Related Workmentioning

confidence: 99%

Three-dimensional Face Recognition Method Based on Multiresolution Model and Fuzzy Random Matrix

Zhang

Feng

Guo

et al. 2022

Mathematical Problems in Engineering

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Three-dimensional face recognition is one of the hotspots of biometric recognition and has a wide range of applications in the fields of information security, video surveillance, video tracking, and so on. The core part of 3D face recognition is to establish the corresponding 3D face model, and the key of building the model is how to obtain the shape model and accurate texture mapping. The problem has not been well solved in the field of face reconstruction. Based on the background, this paper makes an in-depth study and proposes a three-dimensional face recognition method based on multiresolution model and fuzzy random matrix. The face model reconstruction method of image and model can accurately obtain the contour change of face and the representation of specific features through multiresolution model, reduce the inaccurate description of error and noise in samples through fuzzy random matrix, and enhance the effectiveness of image information of classification and recognition. The experimental outcomes exhibit that the 3D face focus approach based totally on multiresolution mannequin and fuzzy random matrix efficiently improves the evaluation effectivity of the model, improves the great of mannequin matching, improves the function extraction in the cognizance process, and improves the attention rate.

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Nicotinamide mononucleotide ameliorates senescence in alveolar epithelial cells

Cited by 12 publications

References 44 publications

Inferring Metabolic Objectives and Tradeoffs in Single Cells During Embryogenesis

Inferring Metabolic Objectives and Tradeoffs in Single Cells During Embryogenesis

Metabolite accumulation from oral NMN supplementation drives aging-specific kidney inflammation

Three-dimensional Face Recognition Method Based on Multiresolution Model and Fuzzy Random Matrix

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